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Mao Z, Gray ALH, Gross MD, Thyagarajan B, Bostick RM. Associations of DNA Base Excision Repair and Antioxidant Enzyme Genetic Risk Scores with Biomarker of Systemic Inflammation. Front Aging 2022; 3:897907. [PMID: 36338835 PMCID: PMC9632613 DOI: 10.3389/fragi.2022.897907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/14/2022] [Indexed: 06/16/2023]
Abstract
Background: Inflammation is implicated in the etiology of various aging-related diseases. Numerous dietary and lifestyle factors contribute to chronic systemic inflammation; genetic variation may too. However, despite biological plausibility, little is known about associations of antioxidant enzyme (AE) and DNA base excision repair (BER) genotypes with human systemic inflammation. Methods: We genotyped 22 single nucleotide polymorphisms (SNPs) in 3 AE genes, and 79 SNPs in 14 BER genes to develop inflammation-specific AE and BER genetic risk scores (GRS) in two pooled cross-sectional studies (n = 333) of 30-74-year-old White adults without inflammatory bowel disease, familial adenomatous polyposis, or a history of cancer or colorectal adenoma. Of the genotypes, based on their associations with a biomarker of systemic inflammation, circulating high sensitivity C-reactive protein (hsCRP) concentrations, we selected 2 SNPs of 2 genes (CAT and MnSoD) for an AE GRS, and 7 SNPs of 5 genes (MUTYH, SMUG1, TDG, UNG, and XRCC1) for a BER GRS. A higher GRS indicates a higher balance of variant alleles directly associated with hsCRP relative to variant alleles inversely associated with hsCRP. We also calculated previously-reported, validated, questionnaire-based dietary (DIS) and lifestyle (LIS) inflammation scores. We used multivariable general linear regression to compare mean hsCRP concentrations across AE and BER GRS categories, individually and jointly with the DIS and LIS. Results: The mean hsCRP concentrations among those in the highest relative to the lowest AE and BER GRS categories were, proportionately, 13.9% (p = 0.30) and 57.4% (p = 0.009) higher. Neither GRS clearly appeared to modify the associations of the DIS or LIS with hsCRP. Conclusion: Our findings suggest that genotypes of DNA BER genes collectively may be associated with systemic inflammation in humans.
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Affiliation(s)
- Ziling Mao
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Abigail L. H. Gray
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minnesota, MN, United States
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minnesota, MN, United States
| | - Roberd M. Bostick
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
- Winship Cancer Institute, Emory University, Atlanta, GA, United States
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Ramasubramanian R, Kalhan R, Jacobs DR, Washko GR, Hou L, Gross MD, Guan W, Thyagarajan B. Gene expression of oxidative stress markers and lung function: A CARDIA lung study. Mol Genet Genomic Med 2021; 9:e1832. [PMID: 34800009 PMCID: PMC8683624 DOI: 10.1002/mgg3.1832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 08/14/2021] [Accepted: 09/14/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Circulating markers of oxidative stress have been associated with lower lung function. Our objective was to study the association of gene expression levels of oxidative stress pathway genes (ALOX12, ALOX15, ARG2, GSTT1, LPO, MPO, NDUFB3, PLA2G7, and SOD3) and lung function forced expiratory volume in one second (FEV1 ), forced vital capacity (FVC) in Coronary Artery Risk Development in Young Adults study. METHODS Lung function was measured using spirometry and the Nanostring platform was used to estimate gene expression levels. Linear regression models were used to study association of lung function measured at year 30, 10-year decline in lung function and gene expression after adjustment for center, smoking, and BMI, measured at year 25. RESULTS The 10-year decline of FEV1 was faster in highest NDUFB3 quartile compared to the lowest (difference = -2.09%; p = 0.001) after adjustment for multiple comparisons. The 10-year decline in FEV1 and FVC was nominally slower in highest versus lowest quartile of PLA2G7 (difference = 1.14%; p = 0.02, and difference = 1.06%; p = 0.005, respectively). The other genes in the study were not associated with FEV1 or FVC. CONCLUSION Higher gene expression levels in oxidative stress pathway genes are associated with faster 10-year FEV1 decline.
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Affiliation(s)
- Ramya Ramasubramanian
- Division of Epidemiology and Community HealthUniversity of Minnesota School of Public HealthMinneapolisMinnesotaUSA
| | - Ravi Kalhan
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Division of Pulmonary and Critical Care MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - David R. Jacobs
- Division of Epidemiology and Community HealthUniversity of Minnesota School of Public HealthMinneapolisMinnesotaUSA
| | - George R. Washko
- Division of Pulmonary and Critical Care MedicineBrigham and Women’s HospitalBostonMassachusettsUSA
- Applied Chest Imaging LaboratoryBrigham and Women’s HospitalBostonMassachusettsUSA
| | - Lifang Hou
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Myron D. Gross
- Department of Pathology and Laboratory MedicineUniversity of Minnesota School of MedicineMinneapolisMinnesotaUSA
| | - Weihua Guan
- Department of BiostatisticsUniversity of Minnesota School of Public HealthMinneapolisMinnesotaUSA
| | - Bharat Thyagarajan
- Department of Pathology and Laboratory MedicineUniversity of Minnesota School of MedicineMinneapolisMinnesotaUSA
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Morikawa N, Bancks MP, Yano Y, Kuwabara M, Gaffo AL, Duprez DA, Gross MD, Jacobs DR. Serum Urate Trajectory in Young Adulthood and Incident Cardiovascular Disease Events by Middle Age: CARDIA Study. Hypertension 2021; 78:1211-1218. [PMID: 34092118 PMCID: PMC8516664 DOI: 10.1161/hypertensionaha.121.17555] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Nagisa Morikawa
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Department of Internal Medicine, Division of Cardio-Vascular Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Michael P. Bancks
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yuichiro Yano
- Department of Family Medicine and Community Health, Duke University, Durham, NC, USA
| | - Masanari Kuwabara
- Intensive Care Unit and Department of Cardiology, Toranomon Hospital, Tokyo, Japan
| | - Angelo L. Gaffo
- Division of Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
- Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA
| | - Daniel A. Duprez
- Cardiovascular Division, Department of Medicine, School of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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Ruiz-Ramie JJ, Barber JL, Lloyd-Jones DM, Gross MD, Rana JS, Sidney S, Jacobs DR, Lane-Cordova AD, Sarzynski MA. Cardiovascular Health Trajectories and Elevated C-Reactive Protein: The CARDIA Study. J Am Heart Assoc 2021; 10:e019725. [PMID: 34423651 PMCID: PMC8649255 DOI: 10.1161/jaha.120.019725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background The relationship between long‐term cardiovascular health (CVH) patterns and elevated CRP (C‐reactive protein) in late middle age has yet to be investigated. We aimed to assess this relationship. Methods and Results Individual CVH components were measured in 4405 Black and White men and women (aged 18–30 years at baseline) in the CARDIA (Coronary Artery Risk Development in Young Adults) study at 8 examinations over 25 years. CRP was measured at 4 examinations (years 7, 15, 20, and 25). Latent class modeling was used to identify individuals with similar trajectories in CVH from young adulthood to middle age. Multivariable Poisson regression models were used to assess the association between race‐specific CVH trajectories and prevalence of elevated CRP levels (>3.0 mg/L) after 25 years of follow‐up. Five distinct CVH trajectories were identified for each race. Lower and decreasing trajectories had higher prevalence of elevated CRP relative to the highest trajectory. Prevalence ratios for elevated CRP in lowest trajectory groups at year 25 were 2.58 (95% CI, 1.89–3.51) and 7.20 (95% CI, 5.09–10.18) among Black and White people, respectively. Prevalence ratios for chronically elevated CRP (elevated CRP at 3 or more of the examinations) in the lowest trajectory groups were 8.37 (95% CI, 4.37–16.00) and 15.89 (95% CI, 9.01–28.02) among Black and White people, respectively. Conclusions Lower and decreasing CVH trajectories are associated with higher prevalence of elevated CRP during the transition from young adulthood to middle age.
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Affiliation(s)
- Jonathan J Ruiz-Ramie
- Department of Kinesiology Augusta University Augusta GA.,Department of Exercise Science Arnold School of Public Health University of South Carolina Columbia SC
| | - Jacob L Barber
- Department of Exercise Science Arnold School of Public Health University of South Carolina Columbia SC
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN
| | - Jamal S Rana
- Division of Cardiology Kaiser Permanente of Northern California Oakland CA.,Division of Research Kaiser Permanente of Northern California Oakland CA
| | - Stephen Sidney
- Division of Research Kaiser Permanente of Northern California Oakland CA
| | - David R Jacobs
- Division of Epidemiology and Community Health School of Public Health University of Minnesota Minneapolis MN
| | - Abbi D Lane-Cordova
- Department of Exercise Science Arnold School of Public Health University of South Carolina Columbia SC
| | - Mark A Sarzynski
- Department of Exercise Science Arnold School of Public Health University of South Carolina Columbia SC
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Schmidt KM, Haddad EN, Sugino KY, Vevang KR, Peterson LA, Koratkar R, Gross MD, Kerver JM, Comstock SS. Dietary and plasma carotenoids are positively associated with alpha diversity in the fecal microbiota of pregnant women. J Food Sci 2021; 86:602-613. [PMID: 33449409 PMCID: PMC10035785 DOI: 10.1111/1750-3841.15586] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 11/17/2020] [Accepted: 12/04/2020] [Indexed: 12/14/2022]
Abstract
Because microbes use carotenoids as an antioxidant for protection, dietary carotenoids could be associated with gut microbiota composition. We aimed to determine associations among reported carotenoid intake, plasma carotenoid concentrations, and fecal bacterial communities in pregnant women. Pregnant women (n = 27) were enrolled in a two-arm study designed to assess feasibility of biospecimen collection and delivery of a practical nutrition intervention. Plasma and fecal samples were collected and women were surveyed with a 24-hr dietary checklist and recalls. Plasma carotenoids were analyzed by HPLC using photodiode array detection. Fecal bacteria were analyzed by 16S rRNA DNA sequencing. Results presented are cross-sectional from the 36-week gestational study visit combined across both study arms due to lack of significant differences between intervention and usual care groups (n = 23 women with complete data). Recent intake of carotenoid-containing foods included carrots, sweet potatoes, mangos, apricots, and/or bell peppers for 48% of women; oranges/orange juice (17%); egg (39%); tomato/tomato-based sauces (52%); fruits (83%); and vegetables (65%). Average plasma carotenoid concentrations were 6.4 µg/dL α-carotene (AC), 17.7 µg/dL β-carotene (BC), 11.4 µg/dL cryptoxanthin, 39.0 µg/dL trans-lycopene, and 29.8 µg/dL zeaxanthin and lutein. AC and BC concentrations were higher in women who recently consumed foods high in carotenoids. CR concentrations were higher in women who consumed oranges/orange juice. Microbiota α-diversity positively correlated with AC and BC. Microbiota β-diversity differed significantly across reported intake of carotenoid containing foods and plasma concentrations of AC. This may reflect an effect of high fiber or improved overall dietary quality, rather than a specific effect of carotenoids. PRACTICAL APPLICATION: Little is known about the association between the gut microbiome and specific dietary microconstituents, such as carotenoids, especially during pregnancy. This research demonstrates that a carotenoid-rich diet during pregnancy supports a diverse microbiota, which could be one mechanism by which carotenoids promote health.
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Affiliation(s)
- Kristen M. Schmidt
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Eliot N. Haddad
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Kameron Y. Sugino
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Karin R. Vevang
- The Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Lisa A. Peterson
- The Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Revati Koratkar
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Jean M. Kerver
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
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Patel RB, Colangelo LA, Reiner AP, Gross MD, Jacobs DR, Launer LJ, Lima JAC, Lloyd-Jones DM, Shah SJ. Cellular Adhesion Molecules in Young Adulthood and Cardiac Function in Later Life. J Am Coll Cardiol 2020; 75:2156-2165. [PMID: 32194198 DOI: 10.1016/j.jacc.2020.02.060] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 02/28/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND E-selectin and intercellular adhesion molecule (ICAM)-1 are biomarkers of endothelial activation, which has been implicated in the pathogenesis of heart failure (HF) with preserved ejection fraction (HFpEF). However, the temporal associations between E-selectin and ICAM-1 with subclinical cardiac dysfunction are unclear. OBJECTIVES This study sought to assess the longitudinal associations of E-selectin and ICAM-1 with subclinical alterations in cardiac function. METHODS In the Coronary Artery Disease Risk Development in Young Adults study, a cohort of black and white young adults, we evaluated the associations of E-selectin and ICAM-1, obtained at year (Y) 7 (Y7) and Y15 examinations, with cardiac function assessed at Y30 after adjustment for key covariates. RESULTS Higher E-selectin (n = 1,810) and ICAM-1 (n = 1,548) at Y7 were associated with black race, smoking, hypertension, and higher body mass index. After multivariable adjustment, higher E-selectin at Y7 (β coefficient per 1 SD higher: 0.22; SE: 0.06; p < 0.001) and Y15 (β coefficient per 1 SD higher: 0.19; SE: 0.06; p = 0.002) was associated with worse left ventricular (LV) global longitudinal strain (GLS). Additionally, higher Y15 ICAM-1 (β coefficient per 1 SD higher: 0.18; SE: 0.06; p = 0.004) and its increase from Y7 to Y15 (β coefficient per 1 SD higher: 0.16; SE: 0.07; p = 0.03) were also independently associated with worse LV GLS. E-selectin and ICAM-1 partially mediated the associations between higher body mass index and black race with worse GLS. Neither E-selectin nor ICAM-1 was associated with measures of LV diastolic function after multivariable adjustment. CONCLUSION Circulating levels of E-selectin and ICAM-1 and increases in ICAM-1 over the course of young adulthood are associated with worse indices of LV systolic function in midlife. These findings suggest associations of endothelial activation with subclinical HF with preserved ejection fraction.
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Affiliation(s)
- Ravi B Patel
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
| | - Laura A Colangelo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
| | - Joao A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Donald M Lloyd-Jones
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sanjiv J Shah
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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7
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Harville EW, Lewis CE, Catov JM, Jacobs DR, Gross MD, Gunderson EP. A longitudinal study of pre-pregnancy antioxidant levels and subsequent perinatal outcomes in black and white women: The CARDIA Study. PLoS One 2020; 15:e0229002. [PMID: 32059045 PMCID: PMC7021312 DOI: 10.1371/journal.pone.0229002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 01/28/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Although protective associations between dietary antioxidants and pregnancy outcomes have been reported, randomized controlled trials of supplementation have been almost uniformly negative. A possible explanation is that supplementation during pregnancy may be too late to have a beneficial effect. Therefore, we examined the relationship between antioxidant levels prior to pregnancy and birth outcomes. METHODS AND FINDINGS Serum carotenoids and tocopherols were assayed in fasting specimens at 1985-86 (baseline) and 1992-1993 (year 7) from 1,215 participants in Coronary Artery Risk Development in Young Adults (CARDIA) study. An interviewer-administered quantitative food-frequency questionnaire assessed dietary intake of antioxidants. Pregnancy outcome was self-reported at exams every 2 to 5 years. Linear and logistic regression modeling was used to assess relationships of low birthweight (LBW; <2,500 g), continuous infant birthweight, preterm birth (PTB; <37 weeks) and length of gestation with antioxidant levels adjusted for confounders, as well as interactions with age and race. RESULTS In adjusted models, lycopene was associated with higher odds of LBW (adjusted odds ratio for top quartile, 2.15, 95% confidence interval 1.14, 3.92) and shorter gestational age (adjusted beta coefficient -0.50 weeks). Dietary intake of antioxidants was associated with lower birthweight, while supplement use of vitamin C was associated with higher gestational age (0.41 weeks, 0.01, 0.81). CONCLUSIONS Higher preconception antioxidant levels are not associated with better birth outcomes.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America
| | - Cora E. Lewis
- Division of Preventive Medicine, University of Alabama-Birmingham, Birmingham, Alabama, United States of America
| | - Janet M. Catov
- University of Pittsburgh Departments of OB/GYN and Epidemiology, Pittsburgh, Pennsylvania, United States of America
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Myron D. Gross
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Erica P. Gunderson
- Division of Research, Cardiovascular and Metabolism Section, Kaiser Permanente Northern California, Oakland, California, United States of America
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Duprez DA, Heckbert SR, Alonso A, Gross MD, Ix JH, Kizer JR, Tracy RP, Kronmal R, Jacobs DR. Collagen Biomarkers and Incidence of New Onset of Atrial Fibrillation in Subjects With No Overt Cardiovascular Disease at Baseline: The Multi-Ethnic Study of Atherosclerosis. Circ Arrhythm Electrophysiol 2019; 11:e006557. [PMID: 30354407 DOI: 10.1161/circep.118.006557] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Atrial fibrosis is a hallmark of structural remodeling in atrial fibrillation (AF). Plasma procollagen type III N-terminal propeptide (PIIINP) reflects collagen synthesis and degradation while collagen type I carboxy-terminal telopeptide (ICTP) reflects collagen degradation. We aimed to study baseline plasma PIIINP and ICTP and their associations with incident AF in participants initially free of overt cardiovascular disease. METHODS In a stratified sample of the Multi-Ethnic Study of Atherosclerosis, initially aged 45-84 years, 3071 participants had both PIIINP and ICTP measured at baseline. Incident AF in 10-year follow-up was based on a hospital International Classification of Diseases code for AF or atrial flutter, in- or outpatient Medicare claims through 2011 (primarily in those aged 65-84 years), or ECG 10 years after baseline (n=357). The associations of PIIINP and ICTP with incident AF were estimated using Poisson regression with follow-up time offset. RESULTS Baseline PIIINP (5.50±1.55 µg/L) and ICTP (mean±SD, 3.41±1.37 µg/L) were positively related (both P<0.0001) to incident AF in a model adjusting for age, race/ethnicity, and sex, with an apparent threshold (relative incidence density 2.81 [1.94-4.08] for PIIINP ≥8.5 µg/L [3.5% of the sample] and 3.46 [2.36-5.07] for ICTP ≥7 µg/L [1.7% of the sample]). Findings were attenuated but remained statistically significant after further adjustment for systolic blood pressure, height, body mass index, smoking, and renal function. Additional adjustment for other risk factors and biomarkers of inflammation did not alter conclusions. CONCLUSIONS Plasma collagen biomarkers, particularly at elevated levels, were associated with excess risk for AF.
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Affiliation(s)
- Daniel A Duprez
- Cardiovascular Division, School of Medicine, University of Minnesota, Minneapolis (D.A.D.)
| | - Susan R Heckbert
- Department of Biostatistics, School of Public Health, University of Washington, Seattle (S.R.H.)
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Myron D Gross
- Laboratory Medicine, School of Medicine, University of Minnesota, Minneapolis (M.D.G.)
| | - Joachim H Ix
- Nephrology Division, University of California, San Diego School of Medicine (J.H.I.)
| | - Jorge R Kizer
- Cardiovascular Division of Cardiology, Department of Medicine and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (J.R.K.)
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, and Biochemistry, University of Vermont College of Medicine, Colchester (R.P.T.)
| | - Richard Kronmal
- Department of Statistics, School of Public Health, University of Washington, Seattle (R.K.)
| | - David R Jacobs
- School of Public Health, University of Minnesota, Minneapolis (D.R.J.)
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Suarez-Lopez JR, Gross MD, Lee DH. Summary data of serum concentrations of 32 persistent organic pollutants in young adults in relation to summary scores of persistent organic pollutants. Data Brief 2019; 23:103720. [PMID: 31193752 PMCID: PMC6541699 DOI: 10.1016/j.dib.2019.103720] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 01/22/2019] [Accepted: 01/24/2019] [Indexed: 11/26/2022] Open
Abstract
This data article presents mean serum concentrations (wet weight and lipid standardized) of 32 persistent organic pollutants (POPs) detected in >75% of participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study across levels of POPs scores, and their corresponding coefficients of determination. POPs scores were calculated as: A) the sum of each participant's log-transformed POPs concentrations (∑ of log Pops], or B) as the sum of the participants' log-transformed concentrations of each POP divided by the groups' standard deviation of the corresponding log-transformed POP (POPs summary score. Scores were calculated for both wet weight and lipid standardized concentrations and for all 32 POPs and for PCBs and organochlorine pesticides separately. POPs summary scores analyses were used in the article "Organochlorine pesticides and polychlorinated biphenyls (PCBs) in early adulthood and blood lipids over a 23-year follow-up" [Suarez-Lopez et al., 2018].
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Affiliation(s)
- Jose R. Suarez-Lopez
- Department of Family Medicine and Public Health, University of California, San Diego. 9500 Gilman Drive #0725, La Jolla, CA 92093 0725, USA
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, MMC 609 Mayo 8609, 420 Delaware, Minneapolis, MN 55455, USA
| | - Duk-Hee Lee
- Department of Preventive Medicine, School of Medicine, Kyungpook National University, 101 Dongin-dong, Jung-gu, Daegu, 700 422, South Korea
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Suarez-Lopez JR, Clemesha CG, Porta M, Gross MD, Lee DH. Organochlorine pesticides and polychlorinated biphenyls (PCBs) in early adulthood and blood lipids over a 23-year follow-up. Environ Toxicol Pharmacol 2019; 66:24-35. [PMID: 30594847 DOI: 10.1016/j.etap.2018.12.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 10/31/2018] [Accepted: 12/21/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Some evidence in humans suggests that persistent organic pollutants (POPs), including organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs), may alter the blood lipid composition. This study analyzed associations between serum POPs concentrations in young adulthood with blood lipid levels up to 23 years later. METHODS Serum POPs were measured in year 2 of follow-up (n = 180 men and women, ages: 20-32y), and plasma lipids in follow-up years 2, 7, 10, 15, 20 and 25. 32 POPs were detectable in ≥75% of participants (23 PCBs, 8 OCPs and PBB-153). We created summary scores for PCBs and OCPs for both wet-weight, and lipid standardized (LP) concentrations. We used repeated measures regression adjusting for demographic factors, BMI, smoking, diabetes status, among others. RESULTS We observed positive associations of the 23 LP-PCB score with total cholesterol (βper SD increase [95%CI]: 5.0 mg/dL [0.7, 9.2]), triglycerides (7.8 mg/dL [-0.9, 16.5]), LDL (4.2 mg/dL [0.2, 8.2]), oxidized LDL 3.4 U/L (-0.05, 6.8), and cholesterol/HDL ratio (0.2 [0.02, 0.3]). The associations for triglycerides (14.7 mg/dL [0.4, 20.1]), cholesterol/HDL (0.33 [0.09, 0.56]) and, to some extent, LDL (4.7 md/dL [-1.6, 10.9]) were only observed among participants in the upper 50th percentile of BMI. Non-dioxin-like PCBs had stronger associations that dioxin-like PCBs. OCPs and PBB-s had positive associations with most outcomes. CONCLUSIONS PCBs and PBB-153 measured in young adulthood were positively associated with prospective alterations in most blood lipid components, with evidence of effect modification by BMI. Further longitudinal studies with multiple measures of POPs overtime are needed.
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Affiliation(s)
- Jose R Suarez-Lopez
- Department of Family Medicine and Public Health, University of California, 9500 Gilman Drive #0725, La Jolla, San Diego, CA 92093-0725, USA.
| | - Chase G Clemesha
- Department of Family Medicine and Public Health, University of California, 9500 Gilman Drive #0725, La Jolla, San Diego, CA 92093-0725, USA.
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), School of Medicine, Universitat Autonoma de Barcelona, and CIBERESP, Carrer del Dr. Aiguader, 88, E-08003 Barcelona, Catalonia, Spain.
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, MMC 609 Mayo 8609, 420 Delaware, Minneapolis, MN 55455, USA.
| | - Duk-Hee Lee
- Department of Preventive Medicine, School of Medicine, Kyungpook National University, 101 Dongin-dong, Jung-gu, Daegu, 700-422, Republic of Korea.
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11
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Abdulla KA, Um CY, Gross MD, Bostick RM. Circulating γ-Tocopherol Concentrations Are Inversely Associated with Antioxidant Exposures and Directly Associated with Systemic Oxidative Stress and Inflammation in Adults. J Nutr 2018; 148:1453-1461. [PMID: 30184224 PMCID: PMC6669952 DOI: 10.1093/jn/nxy132] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 05/31/2018] [Indexed: 12/21/2022] Open
Abstract
Background Although α- and γ-tocopherol are co-consumed antioxidants, circulating γ-tocopherol concentrations were paradoxically found to be inversely associated with total vitamin E intake and circulating α-tocopherol concentrations. There are limited data on this apparent paradox or on determinants of circulating γ-tocopherol concentrations. Objective To help clarify possible determinants of circulating γ-tocopherol concentrations, we investigated associations of circulating γ-tocopherol concentrations with various dietary and lifestyle factors and biomarkers of oxidative stress and inflammation. Methods We pooled cross-sectional data from 2 outpatient, adult, elective colonoscopy populations (pooled n = 419) on whom extensive dietary, lifestyle, and medical information was collected, and the following plasma concentrations were measured: α- and γ-tocopherol (via HPLC), F2-isoprostanes (FiPs; via gas chromatography-mass spectrometry), and high-sensitivity C-reactive protein (hsCRP; via latex-enhanced immunonephelometry). Multivariable general linear models were used to assess mean γ-tocopherol differences across quantiles of plasma antioxidant micronutrients, FiPs, and hsCRP; an oxidative balance score [OBS; a composite of anti- and pro-oxidant dietary and lifestyle exposures (a higher score indicates higher antioxidant relative to pro-oxidant exposures)]; and multiple dietary and lifestyle factors. Results Adjusted for serum total cholesterol, mean γ-tocopherol concentrations among those in the highest relative to the lowest tertiles of circulating α-tocopherol and β-carotene, the OBS, and total calcium and dietary fiber intakes were 31.0% (P < 0.0001), 29.0% (P < 0.0001), 27.6% (P = 0.0001), 29.7% (P < 0.0001), and 18.6% (P = 0.008) lower, respectively. For those in the highest relative to the lowest tertiles of circulating FiPs and hsCRP, mean γ-tocopherol concentrations were 50% (P < 0.0001) and 39.0% (P < 0.0001) higher, respectively. Conclusions These findings support the conclusion that circulating γ-tocopherol concentrations are inversely associated with antioxidant exposures and directly associated with systemic oxidative stress and inflammation in adults. Additional research on possible mechanisms underlying these findings and on whether circulating γ-tocopherol may serve as a biomarker of oxidative stress, inflammation, or both is needed.
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Affiliation(s)
- Kennadiid A Abdulla
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Caroline Y Um
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Roberd M Bostick
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA,Winship Cancer Institute, Emory University, Atlanta, GA,Address correspondence to RMB (e-mail: )
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12
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Gibbs DC, Fedirko V, Um C, Gross MD, Thyagarajan B, Bostick RM. Associations of Circulating 25-Hydroxyvitamin D3 Concentrations With Incident, Sporadic Colorectal Adenoma Risk According to Common Vitamin D-Binding Protein Isoforms. Am J Epidemiol 2018; 187:1923-1930. [PMID: 29788105 DOI: 10.1093/aje/kwy102] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 04/30/2018] [Indexed: 02/06/2023] Open
Abstract
Concentration of 25-hydroxyvitamin D3 (25(OH)D3), the main circulating form of vitamin D, is inversely associated with incident, sporadic colorectal adenoma risk. We investigated whether this association differs by 2 functional variants in the vitamin D-binding protein (DBP) gene, group-specific component (GC), that encode for common protein isoforms Gc1s, Gc1f, and Gc2 linked to differences in vitamin D metabolism. We pooled data (418 patients with adenoma and 524 polyp-free control subjects) from 3 colonoscopy-based case-control studies (Minnesota, 1991-1994; North Carolina, 1994-1997; South Carolina, 2002). We estimated 25(OH)D3-adenoma associations, stratified by DBP isoforms, using multivariable logistic regression. Higher 25(OH)D3 concentrations were inversely associated with colorectal adenoma risk among those with the Gc2 isoform (per 10-ng/mL increase in 25(OH)D3, odds ratio = 0.71, 95% confidence interval: 0.56, 0.90), but not among those with only Gc1 isoforms (odds ratio = 1.07, 95% confidence interval: 0.87, 1.32; P for interaction = 0.03). Thus, the vitamin D-incident, sporadic colorectal adenoma association may differ by common DBP isoforms, and patients with the Gc2 isoform may particularly benefit from maintaining higher circulating 25(OH)D3 concentrations for adenoma prevention.
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Affiliation(s)
- David C Gibbs
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Veronika Fedirko
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Caroline Um
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Roberd M Bostick
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Winship Cancer Institute, Emory University, Atlanta, Georgia
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13
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Hirahatake KM, Jacobs DR, Gross MD, Bibbins-Domingo KB, Shlipak MG, Mattix-Kramer H, Odegaard AO. The Association of Serum Carotenoids, Tocopherols, and Ascorbic Acid With Rapid Kidney Function Decline: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. J Ren Nutr 2018; 29:65-73. [PMID: 30098859 DOI: 10.1053/j.jrn.2018.05.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 04/07/2018] [Accepted: 05/21/2018] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVE Nutritional intervention targeting dietary intake modification is a major component of treatment for chronic kidney disease; however, little is known about the relationship between dietary intake and kidney function decline in individuals with preserved kidney function. DESIGN AND METHODS In this prospective cohort study we examined the association of biomarkers of dietary intake with kidney function decline over a 5-year interval in 2,152 men and women with cystatin-C-based estimated glomerular filtration rate > 60 mL/minute/1.73 m2 from the Coronary Artery Risk Development in Young Adults study. The biomarkers of interest included carotenoids, tocopherols, and ascorbic acid. Multivariable logistic regression was used to explore the relationship between serum concentrations of the sum of 4 carotenoids (α-carotene, β-carotene, β-cryptoxanthin, and lutein/zeaxanthin), lycopene, α-tocopherol, γ-tocopherol, and ascorbic acid and rapid kidney function decline, defined as .15% decline in cystatin-C-based estimated glomerular filtration rate over 5 years. RESULTS During the 5-year follow-up, 290 participants (13.5%) experienced rapid kidney function decline. Relative to individuals in the lowest quartile of serum carotenoids, those in the highest quartile had significantly lower odds of rapid kidney function decline in the fully adjusted model (odds ratio, 0.51; 95% confidence interval [CI], 0.32-0.80; P trend, .02). No association of levels of serum tocopherols, ascorbic acid, or lycopene with kidney function decline was found. There was no evidence that results differed for individuals with hypertension or diabetes. CONCLUSIONS These results demonstrate that higher serum carotenoid levels, reflective of a fruit- and vegetable-rich dietary pattern, inversely associate with rapid kidney function decline in early middle adulthood and provide insight into how diet might play a role in chronic kidney disease prevention.
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Affiliation(s)
- Kristin M Hirahatake
- Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, California
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Myron D Gross
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | | | - Michael G Shlipak
- School of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Andrew O Odegaard
- Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, California.
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14
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Madahar P, Duprez DA, Podolanczuk AJ, Bernstein EJ, Kawut SM, Raghu G, Barr RG, Gross MD, Jacobs DR, Lederer DJ. Collagen biomarkers and subclinical interstitial lung disease: The Multi-Ethnic Study of Atherosclerosis. Respir Med 2018; 140:108-114. [PMID: 29957270 DOI: 10.1016/j.rmed.2018.06.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 04/02/2018] [Accepted: 06/01/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Lung fibrosis is attributed to derangements in extracellular matrix remodeling, a process driven by collagen turnover. We examined the association of two collagen biomarkers, carboxy-terminal telopeptide of collagen type I (ICTP) and amino-terminal propeptide of type III procollagen (PIIINP), with subclinical interstitial lung disease (ILD) in adults. METHODS We performed a cross-sectional analysis of 3244 participants age 45-84 years in the Multi-Ethnic Study of Atherosclerosis. Serum ICTP and PIIINP levels were measured at baseline by radioimmunoassay. Subclinical ILD was defined as high attenuation areas (HAA) in the lung fields on baseline cardiac CT scans. Interstitial lung abnormalities (ILA) were measured in 1082 full-lung CT scans at 9.5 years median follow-up. We used generalized linear models to examine the associations of collagen biomarkers with HAA and ILA. RESULTS Median (IQR) for ICTP was 3.2 μg/L (2.6-3.9 μg/L) and for PIIINP was 5.3 μg/L (4.5-6.2 μg/L). In fully adjusted models, each SD increment in ICTP was associated with a 1.3% increment in HAA (95% CI 0.2-2.4%, p = 0.02) and each SD increment in PIIINP was associated with a 0.96% increment in HAA (95% CI 0.06-1.9%, p = 0.04). There was no association between ICTP or PIIINP and ILA. There was no evidence of effect modification by gender, race, smoking status or eGFR. CONCLUSIONS Higher levels of collagen biomarkers are associated with greater HAA independent of gender, race and smoking status. This suggests that extracellular matrix remodeling may accompany subclinical ILD prior to the onset of clinically evident disease.
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Affiliation(s)
- Purnema Madahar
- Department of Medicine, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA
| | - Daniel A Duprez
- Department of Medicine, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA
| | - Anna J Podolanczuk
- Department of Medicine, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA
| | - Elana J Bernstein
- Department of Medicine, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA
| | - Steven M Kawut
- Department of Medicine and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - Ganesh Raghu
- Department of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA; Department of Epidemiology, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
| | - David J Lederer
- Department of Medicine, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA; Department of Epidemiology, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY, 10032, USA.
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15
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Raffield LM, Ellis J, Olson NC, Duan Q, Li J, Durda P, Pankratz N, Keating BJ, Wassel CL, Cushman M, Wilson JG, Gross MD, Tracy RP, Rich SS, Reiner AP, Li Y, Willis MS, Lange EM, Lange LA. Genome-wide association study of homocysteine in African Americans from the Jackson Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the Coronary Artery Risk in Young Adults study. J Hum Genet 2018; 63:327-337. [PMID: 29321517 PMCID: PMC5826839 DOI: 10.1038/s10038-017-0384-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 09/26/2017] [Accepted: 10/22/2017] [Indexed: 12/21/2022]
Abstract
Homocysteine (Hcy) is a heritable biomarker for CVD, peripheral artery disease, stroke, and dementia. Little is known about genetic associations with Hcy in individuals of African ancestry. We performed a genome-wide association study for Hcy in 4927 AAs from the Jackson Heart Study (JHS), the Multi-Ethnic Study of Atherosclerosis (MESA), and the Coronary Artery Risk in Young Adults (CARDIA) study. Analyses were stratified by sex and results were meta-analyzed within and across sex. In the sex-combined meta-analysis, we observed genome-wide significant evidence (p < 5.0 × 10-8) for the NOX4 locus (lead variant rs2289125, β = -0.15, p = 5.3 × 1011). While the NOX4 locus was previously reported as associated with Hcy in European-American populations, rs2289125 remained genome-wide significant when conditioned on the previously reported lead variants. Previously reported genome-wide significant associations at NOX4, MTR, CBS, and MMACHC were also nominally (p < 0.050) replicated in AAs. Associations at the CPS1 locus, previously reported in females only, also was replicated specifically in females in this analysis, supporting sex-specific effects for this locus. These results suggest that there may be a combination of cross-population and population-specific genetic effects, as well as differences in genetic effects between males and females, in the regulation of Hcy levels.
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Affiliation(s)
- Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
| | - Jaclyn Ellis
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nels C Olson
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jin Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Brendan J Keating
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Christina L Wassel
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Mary Cushman
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
- Department of Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
- Department of Biochemistry, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98195, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Monte S Willis
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ethan M Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
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16
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Duprez DA, Gross MD, Kizer JR, Ix JH, Hundley WG, Jacobs DR. Predictive Value of Collagen Biomarkers for Heart Failure With and Without Preserved Ejection Fraction: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Heart Assoc 2018; 7:JAHA.117.007885. [PMID: 29475876 PMCID: PMC5866330 DOI: 10.1161/jaha.117.007885] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Collagen biomarkers may correlate with incident heart failure (HF) and its subtypes. We hypothesized that circulating procollagen type III N-terminal propeptide (PIIINP) and collagen type I carboxy-terminal telopeptide (ICTP) predict incident HF. METHODS AND RESULTS We used a stratified sampling design in a multiethnic sample of 3187 subjects, initially aged 45 to 84 years and free of cardiovascular disease. We assayed baseline serum PIIINP and ICTP concentrations using radioimmunoassay. Incident HF was adjudicated, distinguishing reduced ejection fraction (HFrEF; EF <45%) from preserved EF (HFpEF; EF ≥45%). The incidence density for HFpEF and HFrEF was computed using Poisson regression per SD for each of PIIINP and ICTP, adjusting in model 1 for age, race, sex, and renal function or in model 2 for these variables plus blood pressure and medication. Mean (SD) ICTP was 3.38±1.77 μg/L, and mean (SD) PIIINP was 5.48±2.04 μg/L. Among the HF cases, 96 were HFrEF and 107 were HFpEF. Neither ICTP nor PIIINP significantly predicted incident HFrEF. The incidence density for HFpEF per 100 people observed for 13 years was 1.65 for low PIIINP (lower 6 octiles) versus 3.00 for higher PIIINP (P=0.002) in model 1 and correspondingly 1.45 versus 2.59 (P=0.003) in model 2. For low ICTP (lower 7 octiles) versus higher ICTP (octile 8), incidence densities were 1.79 versus 3.64 (P=0.002) in model 1 and 1.58 versus 3.12 (P=0.002) in model 2. CONCLUSIONS High levels of circulating ICTP and PIIINP as collagen biomarkers appear to be associated with incident HFpEF, but not HFrEF.
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Affiliation(s)
- Daniel A Duprez
- Cardiovascular Division, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Myron D Gross
- Laboratory Medicine, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Jorge R Kizer
- Division of Cardiology, Department of Medicine, and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Joachim H Ix
- Nephrology Division, University of California, San Diego, CA
| | | | - David R Jacobs
- School of Public Health, University of Minnesota, Minneapolis, MN
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17
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Bien SA, Pankow JS, Haessler J, Lu Y, Pankratz N, Rohde RR, Tamuno A, Carlson CS, Schumacher FR, Bůžková P, Daviglus ML, Lim U, Fornage M, Fernandez-Rhodes L, Avilés-Santa L, Buyske S, Gross MD, Graff M, Isasi CR, Kuller LH, Manson JE, Matise TC, Prentice RL, Wilkens LR, Yoneyama S, Loos RJF, Hindorff LA, Le Marchand L, North KE, Haiman CA, Peters U, Kooperberg C. Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Diabetologia 2017; 60:2384-2398. [PMID: 28905132 PMCID: PMC5918310 DOI: 10.1007/s00125-017-4405-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 07/06/2017] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS Elevated levels of fasting glucose and fasting insulin in non-diabetic individuals are markers of dysregulation of glucose metabolism and are strong risk factors for type 2 diabetes. Genome-wide association studies have discovered over 50 SNPs associated with these traits. Most of these loci were discovered in European populations and have not been tested in a well-powered multi-ethnic study. We hypothesised that a large, ancestrally diverse, fine-mapping genetic study of glycaemic traits would identify novel and population-specific associations that were previously undetectable by European-centric studies. METHODS A multiethnic study of up to 26,760 unrelated individuals without diabetes, of predominantly Hispanic/Latino and African ancestries, were genotyped using the Metabochip. Transethnic meta-analysis of racial/ethnic-specific linear regression analyses were performed for fasting glucose and fasting insulin. We attempted to replicate 39 fasting glucose and 17 fasting insulin loci. Genetic fine-mapping was performed through sequential conditional analyses in 15 regions that included both the initially reported SNP association(s) and denser coverage of SNP markers. In addition, Metabochip-wide analyses were performed to discover novel fasting glucose and fasting insulin loci. The most significant SNP associations were further examined using bioinformatic functional annotation. RESULTS Previously reported SNP associations were significantly replicated (p ≤ 0.05) in 31/39 fasting glucose loci and 14/17 fasting insulin loci. Eleven glycaemic trait loci were refined to a smaller list of potentially causal variants through transethnic meta-analysis. Stepwise conditional analysis identified two loci with independent secondary signals (G6PC2-rs477224 and GCK-rs2908290), which had not previously been reported. Population-specific conditional analyses identified an independent signal in G6PC2 tagged by the rare variant rs77719485 in African ancestry. Further Metabochip-wide analysis uncovered one novel fasting insulin locus at SLC17A2-rs75862513. CONCLUSIONS/INTERPRETATION These findings suggest that while glycaemic trait loci often have generalisable effects across the studied populations, transethnic genetic studies help to prioritise likely functional SNPs, identify novel associations that may be population-specific and in turn have the potential to influence screening efforts or therapeutic discoveries. DATA AVAILABILITY The summary statistics from each of the ancestry-specific and transethnic (combined ancestry) results can be found under the PAGE study on dbGaP here: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000356.v1.p1.
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Affiliation(s)
- Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA.
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Yinchang Lu
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca R Rohde
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alfred Tamuno
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Petra Bůžková
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Martha L Daviglus
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Larissa Avilés-Santa
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
- Department of Statistics, Rutgers University, Newark, NJ, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Mariaelisa Graff
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Sachiko Yoneyama
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia A Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Kari E North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
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18
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Bien SA, Pankow JS, Haessler J, Lu Y, Pankratz N, Rohde RR, Tamuno A, Carlson CS, Schumacher FR, Bůžková P, Daviglus ML, Lim U, Fornage M, Fernandez-Rhodes L, Avilés-Santa L, Buyske S, Gross MD, Graff M, Isasi CR, Kuller LH, Manson JE, Matise TC, Prentice RL, Wilkens LR, Yoneyama S, Loos RJF, Hindorff LA, Le Marchand L, North KE, Haiman CA, Peters U, Kooperberg C. Correction to: Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Diabetologia 2017; 60:2542-2543. [PMID: 29038867 PMCID: PMC6145818 DOI: 10.1007/s00125-017-4476-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The authors regret that Yinchang Lu's name incorrectly included a middle initial in the author list. The details given in this erratum are correct.
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Affiliation(s)
- Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA.
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Yinchang Lu
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca R Rohde
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alfred Tamuno
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Petra Bůžková
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Martha L Daviglus
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Larissa Avilés-Santa
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
- Department of Statistics, Rutgers University, Newark, NJ, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Mariaelisa Graff
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Sachiko Yoneyama
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia A Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Kari E North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
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Duggan C, Tapsoba JDD, Wang CY, Campbell KL, Foster-Schubert K, Gross MD, McTiernan A. Dietary Weight Loss, Exercise, and Oxidative Stress in Postmenopausal Women: A Randomized Controlled Trial. Cancer Prev Res (Phila) 2017; 9:835-843. [PMID: 27803047 DOI: 10.1158/1940-6207.capr-16-0163] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 08/02/2016] [Indexed: 02/04/2023]
Abstract
Oxidative stress, a potential mechanism linking obesity and cancer, results from an imbalance between activation/inactivation of reactive oxygen species, byproducts of cellular metabolism. In a randomized controlled trial, we investigated effects of diet and/or exercise on biomarkers of oxidative stress. A total of 439 overweight/obese [body mass index (BMI) > 25 kg/m2] postmenopausal women, ages 50 of 75 years, were randomized to 12 months of (i) reduced-calorie weight loss diet ("diet"; n = 118); (ii) moderate-to-vigorous intensity aerobic exercise ("exercise"; n = 117); (iii) combined diet and exercise intervention ("diet + exercise"; n = 117); or (iv) control (n = 87). Outcomes were circulating markers of oxidative stress, including fluorescent oxidation products (FOP), F2-isoprostanes, and oxidized low-density lipoprotein (LDL). On average, participants were 57.9 years, with a BMI of 30.9 kg/m2 F2-isprostanes were significantly reduced in the diet (-22.7%, P = 0.0002) and diet + exercise (-23.5%, P < 0.0001) arms versus controls (-2.99%) and nonsignificantly reduced in the exercise arm (-14.5%, P = 0.01). Participants randomized to the diet and diet + exercise arms had significant increases in levels of FOP [control -5.81%; diet +14.77% (P = 0.0001); diet + exercise +17.45%, (P = 0.0001)]. In secondary analyses, increasing weight loss was statistically significantly associated with linear trends of greater reductions in oxidized LDL and in F2-isoprostanes and increases in FOP. Compared with controls, exercise participants whose maximal oxygen consumption increased had significant decreases in levels of F2-isoprostanes and in oxidized LDL and increases in FOP. Dietary weight loss, with or without exercise, significantly reduced some markers of oxidative stress in postmenopausal women. Cancer Prev Res; 9(11); 835-43. ©2016 AACR.
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Affiliation(s)
- Catherine Duggan
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
| | - Jean de Dieu Tapsoba
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ching-Yun Wang
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,School of Public Health, University of Washington, Seattle, Washington
| | - Kristin L Campbell
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | | | | | - Anne McTiernan
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,School of Public Health, University of Washington, Seattle, Washington
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20
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Wheeler E, Leong A, Liu CT, Hivert MF, Strawbridge RJ, Podmore C, Li M, Yao J, Sim X, Hong J, Chu AY, Zhang W, Wang X, Chen P, Maruthur NM, Porneala BC, Sharp SJ, Jia Y, Kabagambe EK, Chang LC, Chen WM, Elks CE, Evans DS, Fan Q, Giulianini F, Go MJ, Hottenga JJ, Hu Y, Jackson AU, Kanoni S, Kim YJ, Kleber ME, Ladenvall C, Lecoeur C, Lim SH, Lu Y, Mahajan A, Marzi C, Nalls MA, Navarro P, Nolte IM, Rose LM, Rybin DV, Sanna S, Shi Y, Stram DO, Takeuchi F, Tan SP, van der Most PJ, Van Vliet-Ostaptchouk JV, Wong A, Yengo L, Zhao W, Goel A, Martinez Larrad MT, Radke D, Salo P, Tanaka T, van Iperen EPA, Abecasis G, Afaq S, Alizadeh BZ, Bertoni AG, Bonnefond A, Böttcher Y, Bottinger EP, Campbell H, Carlson OD, Chen CH, Cho YS, Garvey WT, Gieger C, Goodarzi MO, Grallert H, Hamsten A, Hartman CA, Herder C, Hsiung CA, Huang J, Igase M, Isono M, Katsuya T, Khor CC, Kiess W, Kohara K, Kovacs P, Lee J, Lee WJ, Lehne B, Li H, Liu J, Lobbens S, Luan J, Lyssenko V, Meitinger T, Miki T, Miljkovic I, Moon S, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nauck M, Pankow JS, Polasek O, Prokopenko I, Ramos PS, Rasmussen-Torvik L, Rathmann W, Rich SS, Robertson NR, Roden M, Roussel R, Rudan I, Scott RA, Scott WR, Sennblad B, Siscovick DS, Strauch K, Sun L, Swertz M, Tajuddin SM, Taylor KD, Teo YY, Tham YC, Tönjes A, Wareham NJ, Willemsen G, Wilsgaard T, Hingorani AD, Egan J, Ferrucci L, Hovingh GK, Jula A, Kivimaki M, Kumari M, Njølstad I, Palmer CNA, Serrano Ríos M, Stumvoll M, Watkins H, Aung T, Blüher M, Boehnke M, Boomsma DI, Bornstein SR, Chambers JC, Chasman DI, Chen YDI, Chen YT, Cheng CY, Cucca F, de Geus EJC, Deloukas P, Evans MK, Fornage M, Friedlander Y, Froguel P, Groop L, Gross MD, Harris TB, Hayward C, Heng CK, Ingelsson E, Kato N, Kim BJ, Koh WP, Kooner JS, Körner A, Kuh D, Kuusisto J, Laakso M, Lin X, Liu Y, Loos RJF, Magnusson PKE, März W, McCarthy MI, Oldehinkel AJ, Ong KK, Pedersen NL, Pereira MA, Peters A, Ridker PM, Sabanayagam C, Sale M, Saleheen D, Saltevo J, Schwarz PEH, Sheu WHH, Snieder H, Spector TD, Tabara Y, Tuomilehto J, van Dam RM, Wilson JG, Wilson JF, Wolffenbuttel BHR, Wong TY, Wu JY, Yuan JM, Zonderman AB, Soranzo N, Guo X, Roberts DJ, Florez JC, Sladek R, Dupuis J, Morris AP, Tai ES, Selvin E, Rotter JI, Langenberg C, Barroso I, Meigs JB. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med 2017; 14:e1002383. [PMID: 28898252 PMCID: PMC5595282 DOI: 10.1371/journal.pmed.1002383] [Citation(s) in RCA: 256] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 08/03/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes. METHODS & FINDINGS Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants. CONCLUSIONS As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
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Affiliation(s)
- Eleanor Wheeler
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Rona J. Strawbridge
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Clara Podmore
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Man Li
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of Nephrology, University of Utah, Salt Lake City, UT, United States of America
- Department of Human Genetics, University of Utah, Salt Lake City, UT, United States of America
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Audrey Y. Chu
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Xu Wang
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, United States of America
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
- College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China
| | - Nisa M. Maruthur
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Bianca C. Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Stephen J. Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Yucheng Jia
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Wei-Min Chen
- University of Virginia Center for Public Health Genomics, Charlottesville, VA, United States of America
| | - Cathy E. Elks
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Personalised Healthcare & Biomarkers, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Qiao Fan
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Min Jin Go
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Yao Hu
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Young Jin Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Marcus E. Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Claes Ladenvall
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Lund University Diabetes Centre, Lund University, Lund, Sweden
| | - Cecile Lecoeur
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Sing-Hui Lim
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Mike A. Nalls
- Data Tecnica International, Glen Echo, MD, United States of America
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, United States of America
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Denis V. Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, United States of America
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Yuan Shi
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Shu Pei Tan
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jana V. Van Vliet-Ostaptchouk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Loic Yengo
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Wanting Zhao
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anuj Goel
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Maria Teresa Martinez Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Perttu Salo
- National Institute for Health and Welfare (THL), Helsinki, Finland
- University of Helsinki, Institute for Molecular Medicine, Finland (FIMM) and Diabetes and Obesity Research Program, Helsinki, Finland
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Erik P. A. van Iperen
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands
| | - Goncalo Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Behrooz Z. Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Alain G. Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Amelie Bonnefond
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Yvonne Böttcher
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Olga D. Carlson
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Yoon Shin Cho
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, South Korea
| | - W. Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham and the Birmingham Veterans Affairs Medical Center, Birmingham, AL, United States of America
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Catharina A. Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Chao Agnes Hsiung
- Division of Endocrinology, Diabetes, Metabolism, Department of Internal Medicine, Wexner Medical Center, The Ohio State University, Columbus, OH, United States of America
| | - Jie Huang
- Boston VA Research Institute, Inc., Boston, MA, United States of America
| | - Michiya Igase
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Wieland Kiess
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Katsuhiko Kohara
- Faculty of Collaborative Regional Innovation, Ehime University, Ehime, Japan
| | - Peter Kovacs
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Juyoung Lee
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Huaixing Li
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Stephane Lobbens
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | | | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Sanghoon Moon
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Gabriele Müller
- Center for Evidence-based Healthcare, University Hospital and Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging, Baltimore, MD, United States of America
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Ozren Polasek
- University of Split, Split, Croatia
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
| | - Paula S. Ramos
- Department of Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Neil R. Robertson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Ronan Roussel
- INSERM, UMR_S 1138, Centre de Recherche des Cordelier, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, UFR de Médecine, Paris, France
- Assistance Publique Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Department of Diabetology, Endocrinology and Nutrition, Paris, France
| | - Igor Rudan
- University of Edinburgh, Edinburgh, United Kingdom
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - William R. Scott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Bengt Sennblad
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
- Science for life laboratory, Karolinska Institutet, Solna, Sweden
| | - David S. Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Liang Sun
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Morris Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Salman M. Tajuddin
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anke Tönjes
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Gonneke Willemsen
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tom Wilsgaard
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Aroon D. Hingorani
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | | | | | | | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Luigi Ferrucci
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, Netherlands
| | - Antti Jula
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Institute for Social and Economic Research, University of Essex, Colchester, United Kingdom
| | - Inger Njølstad
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Colin N. A. Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Medical Research Institute, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Manuel Serrano Ríos
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | - Hugh Watkins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Tin Aung
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Matthias Blüher
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Dorret I. Boomsma
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Stefan R. Bornstein
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - John C. Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yduan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Italy
| | - Eco J. C. de Geus
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Michele K. Evans
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Philippe Froguel
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
- CNRS 8199-Lille University, France
| | - Leif Groop
- Lund University Diabetes Centre, Lund University, Lund, Sweden
- Finnish Institute for Molecular Medicine (FIMM), Helsinki, Finland
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America
| | - Tamara B. Harris
- National Institute on Aging, Bethesda, MD, United States of America
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Bong-Jo Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
| | - Jaspal S. Kooner
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Antje Körner
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Xu Lin
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Mindich Child Health Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Synlab Academy, Synlab Services GmbH, Mannheim, Germany
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - Albertine J. Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Annette Peters
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Michele Sale
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Juha Saltevo
- Department of Medicine, Central Hospital, Central Finland, Jyväskylä, Finland
| | - Peter EH. Schwarz
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Wayne H. H. Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jaakko Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria
- Saudi Diabetes Research Group, King Abdulaziz University, Fahd Medical Research Center, Jeddah, Saudi Arabia
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - James F. Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Bruce H. R. Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tien Yin Wong
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
- Division of Cancer Control and Population Sciences,University of Pittsburgh Cancer Institute, Pittsburgh, PA, United States of America
| | - Alan B. Zonderman
- Laboratory of Epidemiology & Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, United Kingdom
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - David J. Roberts
- Biomedical Research Centre Oxford Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, United Kingdom
- NHS Blood and Transplant, Headington, Oxford, United Kingdom
| | - Jose C. Florez
- Harvard Medical School, Boston, MA, United States of America
- Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Robert Sladek
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Biostatistics, University of Liverpool, Liverpool, United Kingdom
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Elizabeth Selvin
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Inês Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - James B. Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
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Duggan C, Gross MD, McTiernan A. Diet and Exercise and Serum Markers of Oxidative Stress-Response. Cancer Prev Res (Phila) 2017; 10:487. [PMID: 28698246 DOI: 10.1158/1940-6207.capr-17-0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 05/17/2017] [Accepted: 05/22/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Catherine Duggan
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Anne McTiernan
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,School of Medicine, University of Washington, Seattle, Washington
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Yoon CY, Steffen LM, Gross MD, Launer LJ, Odegaard A, Reiner A, Sanchez O, Yaffe K, Sidney S, Jacobs DR. Circulating Cellular Adhesion Molecules and Cognitive Function: The Coronary Artery Risk Development in Young Adults Study. Front Cardiovasc Med 2017; 4:37. [PMID: 28596958 PMCID: PMC5442165 DOI: 10.3389/fcvm.2017.00037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 05/05/2017] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Higher circulating concentrations of cellular adhesion molecules (CAMs) can be used as markers of endothelial dysfunction. Given that the brain is highly vascularized, we assessed whether endothelial function is associated with cognitive performance. METHOD Within the Coronary Artery Risk Development in Young Adults (CARDIA) Study, excluding N = 54 with stroke before year 25, we studied CAMs among N = 2,690 black and white men and women in CARDIA year 7 (1992-1993, ages 25-37) and N = 2,848 in CARDIA year 15 (2000-2001, ages 33-45). We included subjects with levels of circulating soluble CAMs measured in year 7 or 15 and cognitive function testing in year 25 (2010-2011, ages 43-55). Using multiple regression analysis, we evaluated the association between CAMs and year 25 cognitive test scores: Rey Auditory Verbal Learning Test (RAVLT, memory), Digit Symbol Substitution Test (DSST, speed of processing), and the Stroop Test (executive function). RESULT All CAM concentrations were greater in year 15 vs. year 7. Adjusting for age, race, sex, education, smoking, alcohol, diet, physical activity, participants in the fourth vs. the first quartile of CARDIA year 7 of circulating intercellular adhesion molecule-1 (ICAM-1) scored worse on RAVLT, DSST, and Stroop Test (p ≤ 0.05) in CARDIA year 25. Other CAMs showed little association with cognitive test scores. Findings were similar for ICAM-1 assessed at year 15. Adjustment for possibly mediating physical factors attenuated the findings. CONCLUSION Higher circulating ICAM-1 at average ages 32 and 40 was associated with lower cognitive skills at average age 50. The study is consistent with the hypothesis that endothelial dysfunction is associated with worse short-term memory, speed of processing, and executive function.
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Affiliation(s)
- Cynthia Yursun Yoon
- Division of Epidemiology and Community Heath, University of Minnesota, Minneapolis, MN, USA
| | - Lyn M. Steffen
- Division of Epidemiology and Community Heath, University of Minnesota, Minneapolis, MN, USA
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - Andrew Odegaard
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - Alexander Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Otto Sanchez
- Division of Renal Diseases and Hypertension, University of Minnesota, Minneapolis, MN, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Oakland, Oakland, CA, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Heath, University of Minnesota, Minneapolis, MN, USA
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23
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Duprez DA, Gross MD, Sanchez OA, Kizer JR, Ix JH, Lima J, Tracy RP, Jacobs DR. Collagen Turnover Markers in Relation to Future Cardiovascular and Noncardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis. Clin Chem 2017; 63:1237-1247. [PMID: 28515098 DOI: 10.1373/clinchem.2016.270520] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 03/31/2017] [Indexed: 01/14/2023]
Abstract
BACKGROUND Sustained remodeling of extracellular matrix can compromise organs and tissues. Procollagen type III N-terminal propeptide (PIIINP) and collagen type I carboxy-terminal telopeptide (ICTP) reflect collagen synthesis and degradation. We studied their predictive value for future death and disease. METHODS A total of 3068 men and women in the Multi-Ethnic Study of Atherosclerosis who were free of cardiovascular disease (CVD) and in generally good health had a baseline blood sample taken for ICTP and PIIINP. Median follow-up was 13.0 years. Among 4 primary outcomes, CVD events (n = 697) were adjudicated, death (n = 571) was by death certificate, and chronic inflammatory-related severe hospitalization and death (ChrIRD, n = 726) and total cancer (n = 327) were classified using International Classification of Diseases codes. We used Poisson regression to study baseline ICTP and PIIINP relative to these outcomes. RESULTS Mean (SD) PIIINP was 5.47 (1.95) μg/L and ICTP was 3.37 (1.70) μg/L. PIIINP and ICTP were highly correlated with each other and with estimated glomerular filtration rate (eGFR). Adjustment for age and eGFR attenuated relative risks, remaining 20%-30% per SD of both PIIINP and ICTP in prediction for total death and ChrIRD, and of PIIINP for cancer, with little additional attenuation by adjusting for risk factors and inflammatory biomarkers. CVD outcome was generally unrelated to PIIINP but became marginally inversely related to ICTP in the most adjusted model. CONCLUSIONS The collagen biomarkers PIIINP and ICTP, in part through pathophysiologically parallel associations with renal function, predicted ChrIRD and total death. Moreover, PIIINP predicted future cancer. These collagen markers may help differentiate healthy from unhealthy aging.
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Affiliation(s)
| | | | - Otto A Sanchez
- Nephrology Division, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Jorge R Kizer
- Division of Cardiology, Department of Medicine, and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Joachim H Ix
- Nephrology Division, University of California San Diego, San Diego, CA
| | - Joao Lima
- Cardiovascular Division, John Hopkins University, Baltimore, MD
| | - Russell P Tracy
- Department of Pathology & Laboratory Medicine and Department of Biochemistry, University of Vermont College of Medicine, Colchester, VT
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
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Fujiyoshi A, Polgreen LE, Gross MD, Reis JP, Sidney S, Jacobs DR. Smoking habits and parathyroid hormone concentrations in young adults: The CARDIA study. Bone Rep 2016; 5:104-109. [PMID: 27795978 PMCID: PMC4926833 DOI: 10.1016/j.bonr.2016.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Revised: 03/29/2016] [Accepted: 04/27/2016] [Indexed: 11/21/2022] Open
Abstract
Conflicting results have been reported concerning a relationship between smoking and serum PTH. Our study objective was to examine whether smoking was associated with serum PTH independent of correlates of PTH among young adults, and explore potential mechanisms. This was a cross-sectional study of healthy individuals, 24-36 years old, examined during 1992 through 1993 in California, USA (a subset of Coronary Artery Risk Development in Young Adults study). Linear regression was used to obtain adjusted means of PTH according to smoking habit (current, former, never). Biomarkers for calcium metabolism and bone turnover (including serum concentrations of osteocalcin, bone-specific alkaline phosphatase, and 24-hour urinary excretion of calcium) and bone mineral density were similarly compared by smoking. 376 participants were analyzed (171 women, 181 black). Over half reported never smoking. We observed lower PTH in current smokers compared to non-smokers and found no evidence of an interaction by race and sex. PTH was lowest in current smokers, intermediate in former smokers, and highest in never smokers (geometric mean PTH: 23.6, 26.7, 27.4 pg/mL, respectively: P for trend, 0.006) after adjusting for potential confounders including calcium intake. Among the biomarkers, serum osteocalcin concentration and 24-hour urinary excretion of calcium were lowest in current smokers. We observed no smoking-related difference in bone mineral density. In this community-based sample of young adult men and women, smoking was associated with significantly lower PTH concentration. The mechanism and clinical implication of the finding, however, remains uncertain.
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Key Words
- 1,25(OH)2D, 1,25-dihydroxyvitamin D
- 25OHD, 25-hydroxyvitamin D
- BAP, Bone-specific alkaline phosphatase
- BMD, Bone mineral density
- BMI, Body mass index
- CARDIA, Coronary Artery Risk Development in Young Adults
- PTH, Parathyroid hormone
- Parathyroid hormone
- Smoking
- U-PYDcr, 24-hour urinary excretion of pyridinoline standardized for urinary excretion of creatinine
- Young adults
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Affiliation(s)
- Akira Fujiyoshi
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, MN, USA
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | | | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Jared P. Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | | | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, MN, USA
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Meyer KA, Benton TZ, Bennett BJ, Jacobs DR, Lloyd-Jones DM, Gross MD, Carr JJ, Gordon-Larsen P, Zeisel SH. Microbiota-Dependent Metabolite Trimethylamine N-Oxide and Coronary Artery Calcium in the Coronary Artery Risk Development in Young Adults Study (CARDIA). J Am Heart Assoc 2016; 5:JAHA.116.003970. [PMID: 27792658 PMCID: PMC5121500 DOI: 10.1161/jaha.116.003970] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background Clinical studies implicate trimethylamine N‐oxide (TMAO; a gut microbiota‐dependent nutrient metabolite) in cardiovascular disease risk. There is a lack of population‐based data on the role of TMAO in advancing early atherosclerotic disease. We tested the prospective associations between TMAO and coronary artery calcium (CAC) and carotid intima‐media thickness (cIMT). Methods and Results Data were from the Coronary Artery Risk Development in Young Adults Study (CARDIA), a biracial cohort of US adults recruited in 1985–1986 (n=5115). We randomly sampled 817 participants (aged 33–55 years) who attended examinations in 2000–2001, 2005–2006, and 2010–2011, at which CAC was measured by computed tomography and cIMT (2005–2006) by ultrasound. TMAO was quantified using liquid chromotography mass spectrometry on plasma collected in 2000–2001. Outcomes were incident CAC, defined as Agatston units=0 in 2000–2001 and >0 over 10‐year follow‐up, CAC progression (any increase over 10‐year follow‐up), and continuous cIMT. Over the study period, 25% (n=184) of those free of CAC in 2000–2001 (n=746) developed detectable CAC. In 2000–2001, median (interquartile range) TMAO was 2.6 (1.8–4.2) μmol/L. In multivariable‐adjusted models, TMAO was not associated with 10‐year CAC incidence (rate ratio=1.03; 95% CI: 0.71–1.52) or CAC progression (0.97; 0.68–1.38) in Poisson regression, or cIMT (beta coefficient: −0.009; −0.03 to 0.01) in linear regression, comparing the fourth to the first quartiles of TMAO. Conclusions In this population‐based study, TMAO was not associated with measures of atherosclerosis: CAC incidence, CAC progression, or cIMT. These data indicate that TMAO may not contribute significantly to advancing early atherosclerotic disease risk among healthy early‐middle‐aged adults.
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Affiliation(s)
- Katie A Meyer
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC
| | - Thomas Z Benton
- Nutrition Research Institute, University of North Carolina, Chapel Hill, NC
| | - Brian J Bennett
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC Nutrition Research Institute, University of North Carolina, Chapel Hill, NC Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | | | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - J Jeffrey Carr
- Department of Radiology and Radiological Sciences and Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC Carolina Population Center, University of North Carolina, Chapel Hill, NC
| | - Steven H Zeisel
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC Nutrition Research Institute, University of North Carolina, Chapel Hill, NC
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Keyserling TC, Samuel-Hodge CD, Pitts SJ, Garcia BA, Johnston LF, Gizlice Z, Miller CL, Braxton DF, Evenson KR, Smith JC, Davis GB, Quenum EL, Elliott NTM, Gross MD, Donahue KE, Halladay JR, Ammerman AS. A community-based lifestyle and weight loss intervention promoting a Mediterranean-style diet pattern evaluated in the stroke belt of North Carolina: the Heart Healthy Lenoir Project. BMC Public Health 2016; 16:732. [PMID: 27495295 PMCID: PMC4975883 DOI: 10.1186/s12889-016-3370-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 07/23/2016] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Because residents of the southeastern United States experience disproportionally high rates of cardiovascular disease (CVD), it is important to develop effective lifestyle interventions for this population. METHODS The primary objective was to develop and evaluate a dietary, physical activity (PA) and weight loss intervention for residents of the southeastern US. The intervention, given in eastern North Carolina, was evaluated in a 2 year prospective cohort study with an embedded randomized controlled trial (RCT) of a weight loss maintenance intervention. The intervention included: Phase I (months 1-6), individually-tailored intervention promoting a Mediterranean-style dietary pattern and increased walking; Phase II (months 7-12), option of a 16-week weight loss intervention for those with BMI ≥ 25 kg/m(2) offered in 2 formats (16 weekly group sessions or 5 group sessions and 10 phone calls) or a lifestyle maintenance intervention; and Phase III (months 13-24), weight loss maintenance RCT for those losing ≥ 8 lb with all other participants receiving a lifestyle maintenance intervention. Change in diet and PA behaviors, CVD risk factors, and weight were assessed at 6, 12, and 24 month follow-up. RESULTS Baseline characteristics (N = 339) were: 260 (77 %) females, 219 (65 %) African Americans, mean age 56 years, and mean body mass index 36 kg/m(2). In Phase I, among 251 (74 %) that returned for 6 month follow-up, there were substantial improvements in diet score (4.3 units [95 % CI 3.7 to 5.0]), walking (64 min/week [19 to 109]), and systolic blood pressure (-6.4 mmHg [-8.7 to -4.1]) that were generally maintained through 24 month follow-up. In Phase II, 138 (57 group only, 81 group/phone) chose the weight loss intervention and at 12 months, weight change was: -3.1 kg (-4.9 to -1.3) for group (N = 50) and -2.1 kg (-3.2 to -1.0) for group/phone combination (N = 75). In Phase III, 27 participants took part in the RCT. At 24 months, weight loss was -2.1 kg (-4.3 to 0.0) for group (N = 51) and -1.1 kg (-2.7 to 0.4) for combination (N = 72). Outcomes for African American and whites were similar. CONCLUSIONS The intervention yielded substantial improvement in diet, PA, and blood pressure, but weight loss was modest. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01433484.
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Affiliation(s)
- Thomas C. Keyserling
- Division of General Medicine and Clinical Epidemiology, Department of Medicine, School of Medicine, CB 7110, University of North Carolina, 5039 Old Clinic Building, Chapel Hill, NC 27599 USA
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Carmen D. Samuel-Hodge
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
- Department of Nutrition, Gillings School of Global Public Health, CB 7461, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Stephanie Jilcott Pitts
- Department of Public Health, Brody School of Medicine, East Carolina University, Lakeside Annex 8, 600 Moye Blvd, MS 660, Greenville, NC 27834 USA
| | - Beverly A. Garcia
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Larry F. Johnston
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Ziya Gizlice
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Cassandra L. Miller
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Danielle F. Braxton
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
- Department of Nutrition, Gillings School of Global Public Health, CB 7461, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, CB 8050, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Janice C. Smith
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Gwen B. Davis
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Emmanuelle L. Quenum
- Greene County Health Department, 225 Kingold Blvd, Suite B, Snow Hill, North Carolina 28580 USA
| | - Nadya T. Majette Elliott
- Student Health Services, East Carolina University, 1000 East 5th St, MS 408, Greenville, NC 27858 USA
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455 USA
| | - Katrina E. Donahue
- Department of Family Medicine, School of Medicine, CB 7595, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Jacqueline R. Halladay
- Department of Family Medicine, School of Medicine, CB 7595, University of North Carolina, Chapel Hill, NC 27599 USA
- Cecil G. Sheps Center for Health Services Research, School of Medicine, CB 7590, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Alice S. Ammerman
- Center for Health Promotion and Disease Prevention (a CDC Prevention Research Center), CB 7426, University of North Carolina, Chapel Hill, NC 27599 USA
- Department of Nutrition, Gillings School of Global Public Health, CB 7461, University of North Carolina, Chapel Hill, NC 27599 USA
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Thyagarajan B, Guan W, Fedirko V, Barcelo H, Gross MD, Goodman M, Bostick RM. Abstract 4292: Mitochodrial D-loop polymorphisms are associated with colorectal adenoma risk. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-4292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Somatic mutational events in the mitochondria have been detected in adenomatous polyps. However, the contribution of germline variation in the mitochondrial DNA towards risk of colorectal adenomas, well recognized precursor lesions to colorectal cancer, has not been evaluated previously. Hence, we evaluated associations of mitochondrial polymorphisms in the D-loop and non-D loop regions with incident colorectal adenoma in three pooled colonoscopy-based case-control studies (n = 327 colorectal adenoma cases and 420 controls) that used identical methods for case ascertainment and risk factor determination. We sequenced a 1,124 bp fragment to comprehensively identify all genetic variation in the mitochondrial D-loop region, and used the Sequenom platform to genotype 64 previously described tagSNPs in the non-D loop region. We used multivariate unconditional logistic regression to analyze the association between the mitochondrial polymorphisms and colorectal adenoma risk after adjustment for potential confounders. We identified 320 germline mutations in the D-loop region; 30 (9%) had a minor allele frequency (MAF) ≥ 5%. Most of the mutations clustered in the hypervariable regions HV1 (n = 124; 39%) and HV2 (n = 111; 35%) of the D-loop region. Among the nine common polymorphisms (MAF ≥ 5%) in the HV1 region, four polymorphisms (mt16069, mt16278, mt16294, and mt16296) were statistically significantly directly associated with colorectal adenoma risk (odds ratios [OR]: 1.76 - 2.66; p-values: 0.001 - 0.04). In addition, the polyC tract in the HV1 region was inversely associated with colorectal adenoma risk (OR: 0.90; p = 0.03). None of the other polymorphisms in the mitochondrial D-loop region tract was associated with colorectal adenoma risk. After correction for multiple comparisons, none of the mitochondrial tagSNPs in the non-D loop region was associated with colorectal adenoma risk. These findings suggest that polymorphisms in the HV1 region of the mitochondrial D-loop may be associated with colorectal adenoma risk and support further investigation in future studies.
Citation Format: Bharat Thyagarajan, Weihua Guan, Veronika Fedirko, Helene Barcelo, Myron D. Gross, Michael Goodman, Roberd M. Bostick. Mitochodrial D-loop polymorphisms are associated with colorectal adenoma risk. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4292.
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Thyagarajan B, Wang R, Koh WP, Barcelo H, Adams-Haduch J, Guan W, Bostick RM, Yuan JM, Gross MD. Abstract 4281: Mitochondrial DNA copy number, urinary isoprostanes and colorectal cancer risk. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-4281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Previous epidemiological studies on mitochondrial DNA (mtDNA) copy number and risk of colorectal cancer have yielded mixed results. One study reported a positive association, another reported an inverse association, and a third, a U-shaped association of mtDNA copy number with colorectal cancer risk. Since oxidative stress is one of the proposed underlying mechanisms that may link mtDNA copy number variation to colorectal cancer risk, we conducted a matched case-control study of incident colorectal cancer nested within the Singapore Chinese Health Study. Pre-diagnostic blood and urine samples were obtained from 448 colorectal cancer cases and 869 age- and sex-matched controls. The mtDNA copy number in peripheral white cells was measured using real time PCR and urinary F2-isoprostanes were quantified using a liquid chromatography mass spectrometry based method. Conditional logistic regression was used to estimate associations of mtDNA copy number and urinary F2-isoprostanes with incident colorectal cancer. The odds ratios (OR) and 95% confidence intervals (95% CI) for those in the highest relative to those in the lowest quartiles of relative mtDNA copy numbers and urinary F2-isoprostanes were 1.02 (95% CI 0.72 - 1.43; p for trend = 0.56) and 1.11 (95% CI 0.78-1.59; p for trend = 0.35) respectively. Urinary F2-isoprostanes levels were not associated with the mtDNA copy number among the controls (r = 0.03; p = 0.33). The results of this prospective study suggest that white blood cell mtDNA copy number or urinary levels of F2-isoprostanes in biospecimens collected several years prior to the diagnosis of colorectal cancer may not be associated with risk of developing colorectal cancer.
Citation Format: Bharat Thyagarajan, Renwei Wang, Woon-Puay Koh, Helene Barcelo, Jennifer Adams-Haduch, Weihua Guan, Roberd M. Bostick, Jian-Min Yuan, Myron D. Gross. Mitochondrial DNA copy number, urinary isoprostanes and colorectal cancer risk. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4281.
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Affiliation(s)
| | - Renwei Wang
- 2University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | | | | | | | | | | | - Jian-Min Yuan
- 2University of Pittsburgh Cancer Institute, Pittsburgh, PA
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Carson AP, Muntner P, Selvin E, Carnethon MR, Li X, Gross MD, Garvey WT, Lewis CE. Do glycemic marker levels vary by race? Differing results from a cross-sectional analysis of individuals with and without diagnosed diabetes. BMJ Open Diabetes Res Care 2016; 4:e000213. [PMID: 27335652 PMCID: PMC4908883 DOI: 10.1136/bmjdrc-2016-000213] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 04/05/2016] [Accepted: 05/09/2016] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVE It is well known that A1c varies by race. However, racial differences in other biomarkers of hyperglycemia are less well characterized. The objective of this study was to determine whether average levels of glycemic markers differ by race in adults with and without diagnosed diabetes, before and after accounting for postchallenge glucose. RESEARCH DESIGN AND METHODS This cross-sectional study included 2692 middle-aged men and women (5.5% with diagnosed diabetes; 44% African-American; and 56% white) from the Coronary Artery Risk Development in Young Adults Study (2005-2006) who had fasting glucose, 2-hour postchallenge glucose, A1c, glycated albumin, fructosamine, and 1,5-anhydroglucitol (1,5-AG) measured. Multiple linear regression was used to evaluate racial differences in mean levels of each glycemic marker stratified by the diabetes status and adjusted for sociodemographics, cardiovascular factors, and postchallenge glucose. RESULTS Among those with diagnosed diabetes, racial differences were not observed for any of the glycemic markers. In contrast, among those without diagnosed diabetes, African-Americans had higher mean levels than whites of A1c (β=0.19% points; 95% CI 0.14 to 0.24), glycated albumin (β=0.82% points; 95% CI 0.68 to 0.97), fructosamine (β=8.68 μmol/L; 95% CI 6.68 to 10.68), and 2-hour glucose (β=3.50 mg/dL; 95% CI 0.10 to 6.90) after multivariable adjustment, whereas there were no statistically significant racial difference in 1,5-AG. The racial differences observed for A1c, glycated albumin, and fructosamine persisted after further adjustment for fasting and 2-hour glucose and were of similar magnitude (SD units). CONCLUSIONS Racial differences in glycemic marker levels were evident among middle-aged adults without diagnosed diabetes even after adjustment for postchallenge glucose. Whether these racial differences in biomarkers of hyperglycemia affect the risk of complications warrants additional study.
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Affiliation(s)
- April P Carson
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Xuelin Li
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham School of Health Professions, Birmingham, Alabama, USA
- Birmingham VA Medical Center, Birmingham, Alabama, USA
| | - Cora E Lewis
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
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Sharma S, Colangelo LA, Lloyd-Jones D, Jacobs DR, Gross MD, Gidding SS, Greenland P. Longitudinal associations between adiponectin and cardiac structure differ by hypertensive status: Coronary Artery Risk Development in Young Adults. Cardiovasc Endocrinol 2016; 5:57-63. [PMID: 27525195 PMCID: PMC4980644 DOI: 10.1097/xce.0000000000000080] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE We studied the longitudinal association between adiponectin and cardiac structure and function 10 years later stratified by hypertension status. METHODS Multicenter longitudinal study of black and white men and women that began in 1985-1986, when participants were 18-30 years old. Adiponectin was measured at year 15(2000-2001). Echocardiograms were completed at year 25(2010-2011). Participants were stratified by the presence of hypertension. Risk factor-adjusted echocardiographic variables were compared across adiponectin quintiles. Linear and quadratic regression models were also derived for risk factor-adjusted echocardiographic variables. RESULTS Relative to the lowest quintile of adiponectin, participants from the highest quintile had a 6% lower LV mass index (LVMi) among normotensives, and an 8% higher LVMi among hypertensives. Among normotensive participants, regression analysis demonstrated a linear inverse relationship between adiponectin and LV mass, LVMi, posterior wall thickness (PWT) and ventricular septal thickness (VST) (all p≤0.05). Among hypertensive participants, regression analysis demonstrated a U-shaped relationship between adiponectin and LV mass, LVMi, PWT and VST (p≤0.005 for all quadratic terms). CONCLUSIONS Among normotensive participants, higher adiponectin may be a useful marker of less adverse future cardiac structure. Further study is required to see if adiponectin receptor agonists may provide a benefit among these individuals. Among hypertensive participants, further study is required to assess the prognostic and therapeutic use of adiponectin.
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Affiliation(s)
- Shishir Sharma
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | | | - David R Jacobs
- University of Minnesota School of Public Health, Minneapolis, MN
| | - Myron D Gross
- University of Minnesota School of Public Health, Minneapolis, MN
| | | | - Philip Greenland
- Northwestern University Feinberg School of Medicine, Chicago, IL
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Odegaard AO, Jacobs DR, Sanchez OA, Goff DC, Reiner AP, Gross MD. Oxidative stress, inflammation, endothelial dysfunction and incidence of type 2 diabetes. Cardiovasc Diabetol 2016; 15:51. [PMID: 27013319 PMCID: PMC4806507 DOI: 10.1186/s12933-016-0369-6] [Citation(s) in RCA: 185] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 03/15/2016] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Oxidative stress, inflammation and endothelial dysfunction are interrelated factors in the etiology of cardiovascular disease, but their linkage to type 2 diabetes is less clear. We examined the association of these biomarkers with incident type 2 diabetes (T2D). METHODS Analysis of 2339 participants in the community-based coronary artery risk development in young adults (CARDIA) study. Participants (age 40.1 ± 3.6 years, 44 % Black, 58 % women) were free of diabetes, and were followed 10 years. Cox regression was used to estimate hazard ratios (HRs) for incident T2D adjusting for the other biomarkers under study, demographic and lifestyle measures, dietary biomarkers, BMI (kg/m(2)) and metabolic syndrome components. RESULTS F2-isoprostanes and oxidized LDL (oxidative stress) were positively associated with incident T2D, but the associations were attenuated by adjustment for BMI. C-reactive protein was positively associated with T2D even with full adjustment: HR (95 % CI) = 2.21 (1.26-3.88) for quartile 4 (Q4) v. quartile 1 (Q1). The HR (95 % CI) for T2D for biomarkers of endothelial dysfunction ICAM-1 and E-selectin for Q4 v. Q1 were 1.64 (0.96-2.81) and 1.68 (1.04-2.71) respectively, with full adjustment. Including these two markers in a common risk score incorporating BMI and clinical measures improved the prediction probability of T2D: relative risk for the average person classified up compared to the average person classified down: 1.09, (1.06-1.13), P < 0.0001. CONCLUSIONS Biomarkers of inflammation and endothelial dysfunction were positively associated with incident T2D. ICAM-1 and E-selectin add to the prediction of T2D beyond a common risk score.
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Affiliation(s)
- Andrew O. Odegaard
- />Department of Epidemiology, School of Medicine, University of California-Irvine, Irvine, CA 92697-7550 USA
| | - David R. Jacobs
- />Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
| | - Otto A. Sanchez
- />Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
| | - David C. Goff
- />Department of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, USA
| | - Alexander P. Reiner
- />Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
| | - Myron D. Gross
- />Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
- />Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, USA
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32
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Black CN, Penninx BWJH, Bot M, Odegaard AO, Gross MD, Matthews KA, Jacobs DR. Oxidative stress, anti-oxidants and the cross-sectional and longitudinal association with depressive symptoms: results from the CARDIA study. Transl Psychiatry 2016; 6:e743. [PMID: 26905415 PMCID: PMC4872434 DOI: 10.1038/tp.2016.5] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 12/02/2015] [Accepted: 12/25/2015] [Indexed: 02/07/2023] Open
Abstract
Depression may be accompanied by increased oxidative stress and decreased circulating anti-oxidants. This study examines the association between depressive symptoms, F2-isoprostanes and carotenoids in a US community sample. The study includes 3009 participants (mean age 40.3, 54.2% female) from CARDIA (Coronary Artery Risk Development in Young Adults). Cross-sectional analyses were performed on data from the year 15 examination (2000-2001) including subjects whose depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D) and had measurements of plasma F2-isoprostanes (gas chromatography/mass spectrometry) or serum carotenoids (high-performance liquid chromatography). Carotenoids zeaxanthin/lutein, β-cryptoxanthin, lycopene, α-carotene, β-carotene were standardized and summed. Longitudinal analyses were conducted using the data from other examinations at 5-year intervals. Cross-lagged analyses investigated whether CES-D predicted F2-isoprostanes or carotenoids at the following exam, and vice versa. Regression analyses were controlled for sociodemographics, health and lifestyle factors. F2-isoprostanes were higher in subjects with depressive symptoms (CES-D ⩾ 16) after adjustment for sociodemographics (55.7 vs 52.0 pg ml(-1); Cohen's d = 0.14, P < 0.001). There was no difference in F2-isoprostanes after further adjustment for health and lifestyle factors. Carotenoids were lower in those with CES-D scores ⩾ 16, even after adjustment for health and lifestyle factors (standardized sum 238.7 vs 244.0, Cohen's d = -0.16, P < 0.001). Longitudinal analyses confirmed that depression predicts subsequent F2-isoprostane and carotenoid levels. Neither F2-isoprostanes nor carotenoids predicted subsequent depression. In conclusion, depressive symptoms were cross-sectionally and longitudinally associated with increased F2-isoprostanes and decreased carotenoids. The association with F2-isoprostanes can largely be explained by lifestyle factors, but lower carotenoids were independently associated with depressive symptoms.
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Affiliation(s)
- C N Black
- Department of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - M Bot
- Department of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - A O Odegaard
- Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - M D Gross
- Department of Laboratory Medicine and Pathology University of Minnesota Medical School, University of Minnesota, Minneapolis, MN, USA
| | - K A Matthews
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - D R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota Medical School, University of Minnesota, Minneapolis, MN, USA
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33
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Alonso A, Misialek JR, Michos ED, Eckfeldt J, Selvin E, Soliman EZ, Chen LY, Gross MD, Lutsey PL. Serum 25-hydroxyvitamin D and the incidence of atrial fibrillation: the Atherosclerosis Risk in Communities (ARIC) study. Europace 2016; 18:1143-9. [PMID: 26847078 DOI: 10.1093/europace/euv395] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Accepted: 10/31/2015] [Indexed: 01/17/2023] Open
Abstract
AIMS To assess the prospective association between circulating 25-hydroxyvitamin D [25(OH)D] and atrial fibrillation (AF) risk. METHODS AND RESULTS We studied 12 303 participants from the Atherosclerosis Risk in Communities study without baseline AF (1990-92). Baseline serum total 25(OH)D was measured using mass spectrometry. Incident AF cases were identified from electrocardiograms, hospital discharge codes, and death certificates through 2012. We estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) of AF across clinical categories of serum 25(OH)D concentrations with multivariable Cox models, and tested interactions by age, race, and sex. We meta-analysed our results with those from published prospective studies that reported associations between 25(OH)D and AF risk. During a median follow-up of 21 years, we identified 1866 AF events. In multivariable models, deficient 25(OH)D status (<20 ng/mL), compared with optimal levels (≥30 ng/mL), was not associated with AF risk (HR, 95% CI: 1.10, 0.96-1.26). A significant interaction of 25(OH)D concentrations with age (P = 0.01), but not with race or sex (P > 0.40), was identified, with higher risk of AF among those with deficient 25(OH)D status in younger (HR, 95% CI: 1.35, 1.05-1.73) but not older individuals (HR, 95% CI: 1.02, 0.86-1.21). A meta-analysis of these results and four prospective studies did not support a clinically relevant association of circulating 25(OH)D with AF risk [pooled HR, 95%CI: 1.04, 1.00-1.08, per 1 SD lower 25(OH)D]. CONCLUSION Low serum 25(OH)D was not associated with incident AF in a community-based cohort and in a meta-analysis of prospective studies. A possible association in younger individuals warrants further investigation.
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Affiliation(s)
- Alvaro Alonso
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1200 S 2nd St., Suite 300, Minneapolis, MN 55454, USA
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1200 S 2nd St., Suite 300, Minneapolis, MN 55454, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John Eckfeldt
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lin Y Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1200 S 2nd St., Suite 300, Minneapolis, MN 55454, USA
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34
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Buijsse B, Jacobs DR, Steffen LM, Kromhout D, Gross MD. Plasma Ascorbic Acid, A Priori Diet Quality Score, and Incident Hypertension: A Prospective Cohort Study. PLoS One 2015; 10:e0144920. [PMID: 26683190 PMCID: PMC4684305 DOI: 10.1371/journal.pone.0144920] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 11/25/2015] [Indexed: 11/19/2022] Open
Abstract
Vitamin C may reduce risk of hypertension, either in itself or by marking a healthy diet pattern. We assessed whether plasma ascorbic acid and the a priori diet quality score relate to incident hypertension and whether they explain each other's predictive abilities. Data were from 2884 black and white adults (43% black, mean age 35 years) initially hypertension-free in the Coronary Artery Risk Development in Young Adults Study (study year 10, 1995-1996). Plasma ascorbic acid was assessed at year 10 and the diet quality score at year 7. Eight-hundred-and-forty cases of hypertension were documented between years 10 and 25. After multiple adjustments, each 12-point (1 SD) higher diet quality score at year 7 related to mean 3.7 μmol/L (95% CI 2.9 to 4.6) higher plasma ascorbic acid at year 10. In separate multiple-adjusted Cox regression models, the hazard ratio of hypertension per 19.6-μmol/L (1 SD) higher ascorbic acid was 0.85 (95% CI 0.79-0.92) and per 12-points higher diet score 0.86 (95% CI 0.79-0.94). These hazard ratios changed little with mutual adjustment of ascorbic acid and diet quality score for each other, or when adjusted for anthropometric variables, diabetes, and systolic blood pressure at year 10. Intake of dietary vitamin C and several food groups high in vitamin C content were inversely related to hypertension, whereas supplemental vitamin C was not. In conclusion, plasma ascorbic acid and the a priori diet quality score independently predict hypertension. This suggests that hypertension risk is reduced by improving overall diet quality and/or vitamin C status. The inverse association seen for dietary but not for supplemental vitamin C suggests that vitamin C status is preferably improved by eating foods rich in vitamin C, in addition to not smoking and other dietary habits that prevent ascorbic acid from depletion.
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Affiliation(s)
- Brian Buijsse
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Daan Kromhout
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
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35
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Kato N, Loh M, Takeuchi F, Verweij N, Wang X, Zhang W, Kelly TN, Saleheen D, Lehne B, Leach IM, Drong AW, Abbott J, Wahl S, Tan ST, Scott WR, Campanella G, Chadeau-Hyam M, Afzal U, Ahluwalia TS, Bonder MJ, Chen P, Dehghan A, Edwards TL, Esko T, Go MJ, Harris SE, Hartiala J, Kasela S, Kasturiratne A, Khor CC, Kleber ME, Li H, Yu Mok Z, Nakatochi M, Sapari NS, Saxena R, Stewart AFR, Stolk L, Tabara Y, Teh AL, Wu Y, Wu JY, Zhang Y, Aits I, Da Silva Couto Alves A, Das S, Dorajoo R, Hopewell JC, Kim YK, Koivula RW, Luan J, Lyytikäinen LP, Nguyen QN, Pereira MA, Postmus I, Raitakari OT, Scannell Bryan M, Scott RA, Sorice R, Tragante V, Traglia M, White J, Yamamoto K, Zhang Y, Adair LS, Ahmed A, Akiyama K, Asif R, Aung T, Barroso I, Bjonnes A, Braun TR, Cai H, Chang LC, Chen CH, Cheng CY, Chong YS, Collins R, Courtney R, Davies G, Delgado G, Do LD, Doevendans PA, Gansevoort RT, Gao YT, Grammer TB, Grarup N, Grewal J, Gu D, Wander GS, Hartikainen AL, Hazen SL, He J, Heng CK, Hixson JE, Hofman A, Hsu C, Huang W, Husemoen LLN, Hwang JY, Ichihara S, Igase M, Isono M, Justesen JM, Katsuya T, Kibriya MG, Kim YJ, Kishimoto M, Koh WP, Kohara K, Kumari M, Kwek K, Lee NR, Lee J, Liao J, Lieb W, Liewald DCM, Matsubara T, Matsushita Y, Meitinger T, Mihailov E, Milani L, Mills R, Mononen N, Müller-Nurasyid M, Nabika T, Nakashima E, Ng HK, Nikus K, Nutile T, Ohkubo T, Ohnaka K, Parish S, Paternoster L, Peng H, Peters A, Pham ST, Pinidiyapathirage MJ, Rahman M, Rakugi H, Rolandsson O, Ann Rozario M, Ruggiero D, Sala CF, Sarju R, Shimokawa K, Snieder H, Sparsø T, Spiering W, Starr JM, Stott DJ, Stram DO, Sugiyama T, Szymczak S, Tang WHW, Tong L, Trompet S, Turjanmaa V, Ueshima H, Uitterlinden AG, Umemura S, Vaarasmaki M, van Dam RM, van Gilst WH, van Veldhuisen DJ, Viikari JS, Waldenberger M, Wang Y, Wang A, Wilson R, Wong TY, Xiang YB, Yamaguchi S, Ye X, Young RD, Young TL, Yuan JM, Zhou X, Asselbergs FW, Ciullo M, Clarke R, Deloukas P, Franke A, Franks PW, Franks S, Friedlander Y, Gross MD, Guo Z, Hansen T, Jarvelin MR, Jørgensen T, Jukema JW, Kähönen M, Kajio H, Kivimaki M, Lee JY, Lehtimäki T, Linneberg A, Miki T, Pedersen O, Samani NJ, Sørensen TIA, Takayanagi R, Toniolo D, Ahsan H, Allayee H, Chen YT, Danesh J, Deary IJ, Franco OH, Franke L, Heijman BT, Holbrook JD, Isaacs A, Kim BJ, Lin X, Liu J, März W, Metspalu A, Mohlke KL, Sanghera DK, Shu XO, van Meurs JBJ, Vithana E, Wickremasinghe AR, Wijmenga C, Wolffenbuttel BHW, Yokota M, Zheng W, Zhu D, Vineis P, Kyrtopoulos SA, Kleinjans JCS, McCarthy MI, Soong R, Gieger C, Scott J, Teo YY, He J, Elliott P, Tai ES, van der Harst P, Kooner JS, Chambers JC. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat Genet 2015; 47:1282-1293. [PMID: 26390057 DOI: 10.1038/ng.3405] [Citation(s) in RCA: 231] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 08/21/2015] [Indexed: 12/17/2022]
Abstract
We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10(-21)). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10(-6)). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.
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Affiliation(s)
- Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Marie Loh
- Institute of Health Sciences, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Pakistan.,Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK.,Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Irene Mateo Leach
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander W Drong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - James Abbott
- Bioinformatics Support Service, Imperial College London, London, UK
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sian-Tsung Tan
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Gianluca Campanella
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Uzma Afzal
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Copenhagen Prospective Studies on Asthma in Childhood (COSPAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center, Gentofte, Denmark
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Todd L Edwards
- Vanderbilt Epidemiology Center, Center for Human Genetics Research, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia.,Division of Endocrinology, Children's Hospital Boston, Boston, Massachusetts, USA.,Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Sarah E Harris
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and Medical Research Council (MRC) Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK.,Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Jaana Hartiala
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA.,Institute for Genetic Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Silva Kasela
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | | | - Chiea-Chuen Khor
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Genome Institute of Singapore, ASTAR, Singapore.,Department of Ophthalmology, National University of Singapore, Singapore.,Department of Paediatrics, National University of Singapore, Singapore
| | - Marcus E Kleber
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Huaixing Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zuan Yu Mok
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Masahiro Nakatochi
- Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan
| | - Nur Sabrina Sapari
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Richa Saxena
- Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alexandre F R Stewart
- University of Ottawa Heart Institute, Cardiovascular Research Methods Centre, Ottawa, Ontario, Canada.,Ruddy Canadian Cardiovascular Genetics Centre, Ottawa, Ontario, Canada
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ai Ling Teh
- Singapore Institute for Clinical Sciences (SICS), ASTAR, Singapore
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.,School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Yi Zhang
- State Key Laboratory of Medical Genetics, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Hypertension, Shanghai, China
| | - Imke Aits
- Institute of Epidemiology and Biobank popgen, Christian Albrechts University of Kiel, Kiel, Germany
| | - Alexessander Da Silva Couto Alves
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Shikta Das
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Jemma C Hopewell
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yun Kyoung Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Robert W Koivula
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Malmö, Sweden
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Quang N Nguyen
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | - Mark A Pereira
- School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Iris Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands.,Netherlands Consortium for Healthy Ageing, Leiden, the Netherlands
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Molly Scannell Bryan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Rossella Sorice
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Vinicius Tragante
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy.,Institute for Maternal and Child Health, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) 'Burlo Garofolo', Trieste, Italy
| | - Jon White
- University College London Genetics Institute, Department of Genetics, Environment and Evolution, University College London, London, UK
| | - Ken Yamamoto
- Division of Genomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Linda S Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Koichi Akiyama
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Rasheed Asif
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Inês Barroso
- Metabolic Disease Group, Wellcome Trust Sanger Institute, Cambridge, UK.,National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.,University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Andrew Bjonnes
- Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy R Braun
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Hui Cai
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.,School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Ching-Yu Cheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Department of Ophthalmology, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), ASTAR, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rory Collins
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Regina Courtney
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Gail Davies
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Graciela Delgado
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Loi D Do
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | - Pieter A Doevendans
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Tanja B Grammer
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Niels Grarup
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jagvir Grewal
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Dongfeng Gu
- Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gurpreet S Wander
- Dayanand Medical College and Hospital Unit, Hero DMC Heart Institute, Ludhiana, India
| | - Anna-Liisa Hartikainen
- Department of Obstetrics and Gynecology, Oulu University Hospital, Oulu, Finland.,Medical Research Center, University of Oulu, Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Stanley L Hazen
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Cell Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jing He
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, Singapore
| | - James E Hixson
- Human Genetics Center, University of Texas School of Public Health at Houston, Houston, Texas, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Chris Hsu
- University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Wei Huang
- Department of Genetics, Chinese National Human Genomic Center, Shanghai, China
| | - Lise L N Husemoen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - Joo-Yeon Hwang
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Sahoko Ichihara
- Graduate School of Regional Innovation Studies, Mie University, Tsu, Japan
| | - Michiya Igase
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Johanne M Justesen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Muhammad G Kibriya
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | | | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore
| | - Katsuhiko Kohara
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | - Nanette R Lee
- University of San Carlos Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.,Department of Anthropology, Sociology and History, University of San Carlos, Cebu City, Philippines
| | - Jeannette Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jiemin Liao
- Department of Ophthalmology, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank popgen, Christian Albrechts University of Kiel, Kiel, Germany
| | - David C M Liewald
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tatsuaki Matsubara
- Department of Internal Medicine, Aichi-Gakuin University School of Dentistry, Nagoya, Japan
| | - Yumi Matsushita
- National Center for Global Health and Medicine, Toyama, Japan
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | | | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Rebecca Mills
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Department of Medicine I, Ludwig Maximilians University Munich, Munich, Germany.,German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Toru Nabika
- Department of Functional Pathology, Shimane University Faculty of Medicine, Izumo, Japan
| | - Eitaro Nakashima
- Division of Endocrinology and Diabetes, Department of Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Department of Diabetes and Endocrinology, Chubu Rosai Hospital, Nagoya, Japan
| | - Hong Kiat Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Kjell Nikus
- Heart Centre, Department of Cardiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - Teresa Nutile
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Keizo Ohnaka
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sarah Parish
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Hao Peng
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Son T Pham
- Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam
| | | | - Mahfuzar Rahman
- UChicago Research Bangladesh, Uttara, Dhaka, Bangladesh.,Research and Evaluation Division, Bangladesh Rehabilitation Assistance Committee (BRAC), Dhaka, Bangladesh
| | - Hiromi Rakugi
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Section for Family Medicine, Umeå Universitet, Umeå, Sweden
| | - Michelle Ann Rozario
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Cinzia F Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Ralhan Sarju
- Dayanand Medical College and Hospital Unit, Hero DMC Heart Institute, Ludhiana, India
| | - Kazuro Shimokawa
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Thomas Sparsø
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - John M Starr
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - David J Stott
- Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - Daniel O Stram
- University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Takao Sugiyama
- Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan
| | - Silke Szymczak
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - W H Wilson Tang
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Väinö Turjanmaa
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland.,Department of Clinical Physiology, University of Tampere School of Medicine, Tampere, Finland
| | - Hirotsugu Ueshima
- Department of Health Science, Shiga University of Medical Science, Otsu, Japan.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Satoshi Umemura
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Marja Vaarasmaki
- Department of Obstetrics and Gynecology, Oulu University Hospital, Oulu, Finland.,Medical Research Center, University of Oulu, Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Wiek H van Gilst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Dirk J van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jorma S Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland.,Department of Medicine, University of Turku, Turku, Finland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Yiqin Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Aili Wang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Tien-Yin Wong
- Department of Ophthalmology, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Shuhei Yamaguchi
- Third Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan
| | - Xingwang Ye
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Robin D Young
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Terri L Young
- Neuroscience and Behavioural Disorders (NBD) Program, Duke-National University of Singapore Graduate Medical School, Singapore.,Duke Eye Center, Duke University Medical Center, Durham, North Carolina, USA
| | - Jian-Min Yuan
- Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
| | - Xueya Zhou
- Bioinformatics Division, Tsinghua National Laboratory for Informatics Science and Technology (TNLIST), Ministry of Education Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China.,Center for Synthetic and Systems Biology, TNLIST, Ministry of Education Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China.,Department of Psychiatry, University of Hong Kong, Hong Kong
| | - Folkert W Asselbergs
- Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands.,Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)-Netherlands Heart Institute, Utrecht, the Netherlands.,Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Marina Ciullo
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - Robert Clarke
- Clinical Trials Support Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Panos Deloukas
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,King Abdulaziz University, Jeddah, Saudi Arabia
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Malmö, Sweden.,Department of Public Health and Clinical Medicine, Section for Family Medicine, Umeå Universitet, Umeå, Sweden.,Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Steve Franks
- Institute of Reproductive and Developmental Biology, Imperial College London, Hammersmith Hospital, London, UK
| | | | - Myron D Gross
- School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Zhirong Guo
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Torben Hansen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marjo-Riitta Jarvelin
- Institute of Health Sciences, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC Health Protection Agency (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Center for Life Course Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.,Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)-Netherlands Heart Institute, Utrecht, the Netherlands.,ICIN, Utrecht, the Netherlands
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland.,Department of Clinical Physiology, University of Tampere School of Medicine, Tampere, Finland
| | - Hiroshi Kajio
- National Center for Global Health and Medicine, Toyama, Japan
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Jong-Young Lee
- Ministry of Health and Welfare, Seoul, Republic of Korea.,THERAGEN ETEX Bio Institute, Suwon, Republic of Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark.,Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Oluf Pedersen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, UK.,NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Ryoichi Takayanagi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy.,Institute of Molecular Genetics, National Research Council (CNR), Pavia, Italy
| | | | | | | | | | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Hooman Allayee
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA.,Institute for Genetic Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK.,Wellcome Trust Sanger Institute, Hinxton, UK
| | - Ian J Deary
- Centre for Cognitive Aging and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bastiaan T Heijman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Aaron Isaacs
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Bong-Jo Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Genome Institute of Singapore, ASTAR, Singapore
| | - Winfried März
- Medical Clinic V, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany.,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,Synlab Academy, Synlab Services, Mannheim, Germany
| | | | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Dharambir K Sanghera
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Eranga Vithana
- Department of Ophthalmology, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Neuroscience and Behavioural Disorders (NBD) Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | | | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bruce H W Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Mitsuhiro Yokota
- Department of Genome Science, Aichi-Gakuin University School of Dentistry, Nagoya, Japan
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Dingliang Zhu
- State Key Laboratory of Medical Genetics, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Institute of Hypertension, Shanghai, China
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Soterios A Kyrtopoulos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, Athens, Greece
| | - Jos C S Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, the Netherlands
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Richie Soong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Pathology, National University of Singapore, Singapore
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Genome Institute of Singapore, ASTAR, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,National University of Singapore Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore.,Life Sciences Institute, National University of Singapore, Singapore.,Department of Statistics and Applied Probability, National University of Singapore, Singapore
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands (ICIN)-Netherlands Heart Institute, Utrecht, the Netherlands
| | - Jaspal S Kooner
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK.,National Heart and Lung Institute, Imperial College London, London, UK.,Imperial College Healthcare NHS Trust, London, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK.,Imperial College Healthcare NHS Trust, London, UK
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36
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Wang H, Jacobs DR, Gaffo AL, Gross MD, Goff DC, Carr JJ. Serum Urate and Incident Cardiovascular Disease: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. PLoS One 2015; 10:e0138067. [PMID: 26381512 PMCID: PMC4575092 DOI: 10.1371/journal.pone.0138067] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 08/25/2015] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVE There is controversy about whether serum urate (sUA) predicts future cardiovascular disease (CVD) independently of classical risk factors, and the age at which any prediction starts. We studied the sUA-CVD association among generally healthy adults. METHODS CARDIA recruited 5115 black and white individuals aged 18-30 years in 1985-1986 (year-0). Fatal and nonfatal CVD events by year 27 (n = 164) were ascertained during annual contacts and classified using medical records. The association with sUA (year-0, 10, 15 and 20) was modeled using Cox proportional hazards regression, pooling over gender-specific quartiles. RESULTS Mean sUA concentration was higher in men than women, but increased over time in both genders. Those with elevated sUA had worse metabolic profiles that substantially deteriorated over time. Adjusting for demographic and lifestyle factors (the minimal model), baseline sUA concentration was positively associated with incident CVD (hazard ratio (HR) per mg/dL = 1.21; 95% confidence interval: 1.05, 1.39; P = 0.005). This positive association attenuated to nonsignificance in the full model accounting simultaneously for classical CVD risk factors (HR = 1.09; 0.94, 1.27; P = 0.24). Both the minimal and full models appeared to show stronger associations (than year-0 sUA) between year-10 sUA and incident CVD (HR = 1.27 and 1.12, respectively), but sUA was not statistically significant in the full model. Despite fewer events, year-15 sUA showed a significant sUA-CVD association pattern, with minimal model association magnitude comparable to year-10, and remained significant in the full model (HR = 1.19; 1.02, 1.40; P = 0.03). Hyperuricemia at year-15 strongly predicted CVD risk (HR = 2.11; 1.34, 3.33; P = 0.001), with some attenuation in the full model (HR = 1.68; P = 0.04). CONCLUSIONS sUA may be an early biomarker for CVD in adults entering middle age. The prediction of CVD by sUA appeared to strengthen with aging. The potential complex relation of sUA with deterioration of a cluster of metabolic abnormalities warrants future exploration.
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Affiliation(s)
- Huifen Wang
- Nutritional Epidemiology Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, United States of America
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota-Twin Cities, Minneapolis, MN, United States of America
| | - Angelo L. Gaffo
- Division of Rheumatology, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Myron D. Gross
- Laboratory of Medicine and Pathology, University of Minnesota-Twin Cities, Minneapolis, MN, United States of America
| | - David C. Goff
- Colorado School of Public Health, University of Colorado Denver, Aurora, CO, United States of America
| | - J. Jeffrey Carr
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States of America
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37
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Duprez DA, Otvos J, Tracy RP, Feingold KR, Greenland P, Gross MD, Lima JAC, Mackey RH, Neaton JD, Sanchez OA, Jacobs DR. High-Density Lipoprotein Subclasses and Noncardiovascular, Noncancer Chronic Inflammatory-Related Events Versus Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2015; 4:e002295. [PMID: 26370448 PMCID: PMC4599511 DOI: 10.1161/jaha.115.002295] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Background High-density lipoprotein (HDL) particles have properties beyond reverse cholesterol transport. We hypothesized that their protection extends to inflammation-related disease. The predictive value of HDL particle subclasses and inflammatory markers was studied for noncardiovascular, noncancer chronic inflammation–related death and hospitalization, and for incident cardiovascular disease (CVD). Methods and Results A multiethnic, multicenter, prospective observational study was conducted in 6475 men and women (aged 45 to 84 years) free of known CVD at baseline with median follow-up of 10.1 years. Fasting venous samples were analyzed for baseline lipid profile and lipoprotein particles. We focused on the HDL family of variables (small-, medium-, and large-diameter HDL particles and HDL cholesterol). Analyses identified the sum of small- plus medium-diameter HDL particles as important. Small- plus medium-diameter HDL particles were inversely associated with diagnostic code–based noncardiovascular, noncancer chronic inflammation–related death and hospitalization (n=1054) independent of covariates: relative risk per SD 0.85 (95% CI: 0.79 to 0.91, P<0.0001). Small- plus medium-diameter HDL particles were also associated with adjudicated fatal and nonfatal coronary heart disease events (n=423): relative risk per SD 0.88 (95% CI 0.77 to 0.98, P=0.02). Conclusions Small- plus medium-diameter HDL particles are an independent predictor for noncardiovascular, noncancer chronic inflammation–related death and hospitalization and for coronary heart disease events in subjects initially free of overt CVD. These findings support the hypothesis that smaller HDL particles of diameter <9.4 nm have anti-inflammatory properties in the general population.
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Affiliation(s)
- Daniel A Duprez
- Department of Medicine, University of Minnesota, Minneapolis, MN (D.A.D.)
| | - James Otvos
- Laboratory Corporation of America, Burlington, NC (J.O.)
| | - Russell P Tracy
- Department of Pathology, University of Vermont, Colchester, VT (R.P.T.)
| | - Kenneth R Feingold
- Department of Medicine, VA Medical Center, University of California San Francisco, San Francisco, CA (K.R.F.)
| | - Philip Greenland
- Institute for Public Health and Medicine, Northwestern University, Chicago, IL (P.G.)
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN (M.D.G.)
| | - Joao A C Lima
- Department of Medicine/Radiology, John Hopkins University, Baltimore, MD (J.C.L.)
| | - Rachel H Mackey
- Department of Epidemiology, University of Pittsburgh, PA (R.H.M.)
| | - James D Neaton
- Department of Biostatistics, University of Minnesota, Minneapolis, MN (J.D.N.)
| | - Otto A Sanchez
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (O.A.S., D.R.J.)
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN (O.A.S., D.R.J.)
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Yang B, Gross MD, Fedirko V, McCullough ML, Bostick RM. Effects of calcium supplementation on biomarkers of inflammation and oxidative stress in colorectal adenoma patients: a randomized controlled trial. Cancer Prev Res (Phila) 2015; 8:1069-75. [PMID: 26304464 DOI: 10.1158/1940-6207.capr-15-0168] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 08/12/2015] [Indexed: 11/16/2022]
Abstract
Inflammation and oxidative stress play important roles in colorectal carcinogenesis. There is strong evidence that calcium reduces risk for colorectal neoplasms, possibly through its ability to bind bile acids and prevent their colonic toxicity (which occurs via an oxidative mechanism and results in an inflammatory response). In a previously reported pilot, randomized, controlled trial among sporadic colorectal adenoma patients we found that those on 2.0 g/day of calcium, relative to those on placebo, had an estimated drop in a combined cytokine z-score of 48% (P = 0.18) over 6 months. To follow-up these promising preliminary findings, we tested the efficacy of two doses of supplemental calcium (1.0 or 2.0 g/day) relative to placebo on modulating circulating biomarkers of inflammation [C-reactive protein (CRP) and 10 cytokines] and oxidative stress (F2-isoprostanes) over a 4-month treatment period among 193 patients with previous sporadic, colorectal adenoma in a randomized, double-blinded, placebo-controlled clinical trial. The inflammation markers were measured in plasma using electrochemiluminescence detection-based immunoassays, and F2-isoprostanes were measured in plasma using gas chromatography-mass spectrometry. Over a 4-month treatment period, we found no appreciable effects of calcium on CRP, cytokines, or F2-isoprostanes (P > 0.4), overall or within strata of several major risk factors for colorectal carcinogenesis, such as body mass index and regular use of nonsteroidal anti-inflammatory drugs. Overall, our results provide no evidence that calcium supplementation favorably modulates concentrations of circulating biomarkers of inflammation or oxidative stress over 4 months among patients with a previous colorectal adenoma.
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Affiliation(s)
- Baiyu Yang
- Department of Epidemiology, Emory University, Atlanta, Georgia
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Veronika Fedirko
- Department of Epidemiology, Emory University, Atlanta, Georgia. Winship Cancer Institute, Emory University, Atlanta, Georgia
| | | | - Roberd M Bostick
- Department of Epidemiology, Emory University, Atlanta, Georgia. Winship Cancer Institute, Emory University, Atlanta, Georgia.
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Bancks MP, Odegaard AO, Koh WP, Yuan JM, Gross MD, Pereira MA. Glycated hemoglobin and incident type 2 diabetes in singaporean chinese adults: the Singapore Chinese health study. PLoS One 2015; 10:e0119884. [PMID: 25775375 PMCID: PMC4361607 DOI: 10.1371/journal.pone.0119884] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 02/03/2015] [Indexed: 11/30/2022] Open
Abstract
Background The American Diabetes Association recently included glycated hemoglobin in the diagnostic criteria for diabetes, but research on the utility of this biomarker in Southeast Asians is scant. The aim of this study was to evaluate the association between percent HbA1c and incident diabetes in an Asian population of adult men and women without reported diabetes. Methods Data analysis of 5,770 men and women enrolled in the Singapore Chinese Health Study who provided a blood sample at the follow-up I visit (1999–2004) and had no cancer and no reported history of diabetes or cardiovascular disease events. Diabetes was defined as self-report of physician diagnosis, identified at the follow-up II visit (2006–2010). Results Hazard ratios (and 95% confidence intervals) for incident diabetes by 5 categories of HbA1c were estimated with Cox regression models and continuous HbA1c with cubic spline analysis. Compared to individuals with an HbA1c ≤ 5.7% (≤39 mmol/mol), individuals with HbA1c 5.8–5.9% (40–41 mmol/mol), 6.0–6.1% (42–43 mmol/mol), 6.2–6.4% (44–47 mmol/mol), and ≥ 6.5% (≥48 mmol/mol) had significantly increased risk for incident diabetes during follow-up. In cubic spline analysis, levels below 5.7% HbA1c were not significantly associated with incident diabetes. Conclusions Our study found a strong and graded association with HbA1c 5.8% and above with incident diabetes in Chinese men and women.
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Affiliation(s)
- Michael P. Bancks
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America
- * E-mail:
| | - Andrew O. Odegaard
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Division of Cancer Control and Population Sciences, Pittsburgh, PA, United States of America
- University of Pittsburgh, Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, United States of America
| | - Myron D. Gross
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America
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Carson AP, Steffes MW, Carr JJ, Kim Y, Gross MD, Carnethon MR, Reis JP, Loria CM, Jacobs DR, Lewis CE. Hemoglobin a1c and the progression of coronary artery calcification among adults without diabetes. Diabetes Care 2015; 38:66-71. [PMID: 25325881 PMCID: PMC4274774 DOI: 10.2337/dc14-0360] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 09/22/2014] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Higher levels of hemoglobin A1c (HbA1c) are associated with increased cardiovascular disease risk among individuals without diabetes and may also be positively associated with coronary artery calcification (CAC). This study investigated the association of HbA1c with CAC progression in the Coronary Artery Risk Development in Young Adults study. RESEARCH DESIGN AND METHODS We included 2,076 participants with HbA1c and noncontrast computed tomography (CT) assessed at baseline (2005-2006), and CT repeated 5 years later (2010-2011). CAC progression was defined as 1) incident CAC (increase >0 Agatston units among those with no CAC at baseline), 2) any CAC progression (increase >10 Agatston units between examinations), and 3) advanced CAC progression (increase >100 Agatston units between examinations). RESULTS During the 5-year follow-up period, 12.9% of participants without baseline CAC developed incident CAC; among all participants, 18.2% had any CAC progression and 5.4% had advanced CAC progression. Higher HbA1c was associated with incident CAC (risk ratio [RR] = 1.45; 95% CI 1.02, 2.06), any CAC progression (RR = 1.51; 95% CI 1.16, 1.96), and advanced CAC progression (RR = 2.42; 95% CI 1.47, 3.99) after adjustment for sociodemographic factors. Additional adjustment for cardiovascular risk factors attenuated the associations of HbA1c with incident CAC (RR = 1.05; 95% CI 0.74, 1.49) and any CAC progression (RR = 1.13; 95% CI 0.87, 1.47). In contrast, the association of HbA1c with advanced CAC progression persisted in multivariable adjusted models (RR = 1.78; 95% CI 1.08, 2.95). CONCLUSIONS Higher HbA1c was independently associated with advanced CAC progression among individuals without diabetes, while the associations with incident CAC and any CAC progression were accounted for by other established cardiovascular risk factors.
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Affiliation(s)
- April P Carson
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL
| | - Michael W Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN
| | - J Jeffrey Carr
- Department of Radiology and Radiologic Sciences, Vanderbilt University, Nashville, TN
| | - Yongin Kim
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Jared P Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Catherine M Loria
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Cora E Lewis
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL
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Bancks MP, Odegaard AO, Pankow JS, Koh WP, Yuan JM, Gross MD, Pereira MA. Glycated hemoglobin and all-cause and cause-specific mortality in Singaporean Chinese without diagnosed diabetes: the Singapore Chinese Health Study. Diabetes Care 2014; 37:3180-7. [PMID: 25216509 PMCID: PMC4237977 DOI: 10.2337/dc14-0390] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Glycated hemoglobin (HbA₁c) is a robust biomarker of the preceding 2 to 3 months average blood glucose level. The aim of this study was to examine the association between HbA₁c and mortality in a cohort of Southeast Asians. RESEARCH DESIGN AND METHODS Analysis of 7,388 men and women, mean age 62 years, from the Singapore Chinese Health Study who provided a blood sample at the follow-up I visit (1999-2004) and reported no history of diabetes, previous adverse cardiovascular events, or cancer. A total of 888 deaths were identified through 31 December 2011 via registry linkage. Participants represented a random study sample of potential control subjects for a nested case-control genome-wide association study of type 2 diabetes in the population. Hazard ratios (HRs) for all-cause and cause-specific mortality by six categories of HbA1c were estimated with Cox regression models. RESULTS Relative to participants with an HbA₁c of 5.4-5.6% (36-38 mmol/mol), participants with HbA₁c ≥6.5% (≥48 mmol/mol) had an increased risk of all-cause, cardiovascular, and cancer mortality during an average of 10.1 years of follow-up; HRs (95% CIs) were 1.96 (1.56-2.46), 2.63 (1.77-3.90), and 1.51 (1.04-2.18), respectively. No level of HbA1c was associated with increased risk of respiratory mortality. Levels <6.5% HbA₁c were not associated with mortality during follow-up. The results did not materially change after excluding observation of first 3 years post-blood draw. CONCLUSIONS HbA₁c levels consistent with undiagnosed type 2 diabetes (≥6.5%) are associated with an increased risk of all-cause and cause-specific mortality in Chinese men and women.
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Affiliation(s)
- Michael P Bancks
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Andrew O Odegaard
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - James S Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School Singapore, Singapore Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Myron D Gross
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Mark A Pereira
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
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Thyagarajan B, Barcelo H, Anderson KE, Swenson K, Nelson H, Gross MD. Abstract 3277: A low plasma mitchondrial DNA copy number is associated with increased breast cancer risk. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-3277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Previous studies have shown that plasma mtDNA can be separated into two fractions; a supernatant form that is cell-free and a pelleted form that is thought to be platelet associated. These fractions of plasma mtDNA should be measured in studies evaluating the role of plasma mtDNA as biomarkers for early detection or susceptibility to various cancers. Though one case-control study has shown lower plasma mitochondrial DNA (mtDNA) copy number to be associated with increased breast cancer risk this study did not evaluate the two fractions of plasma mtDNA. Hence, the role of plasma mtDNA in determining breast cancer risk was investigated further. We conducted a case-control study of 29 breast cancer cases and 28 cancer free controls to evaluate the association between (a) plasma mtDNA copy number and (b) peripheral blood leucocyte mtDNA copy number and breast cancer risk. Plasma obtained from the breast cancer cases and controls was centrifuged further at 18,000 g for 10 minutes to separate the plasma into the supernatant and pelleted fractions. Using flow cytometry, we stained the pelleted fraction of the plasma with Annexin V and CD61 to determine the cellular source of the plasma pellet. DNA from the two plasma fractions and the buffy coat was extracted using the Qiagen DNAesy DNA extraction kit. Nuclear DNA (18s) and mitochondrial DNA (ND1) copy numbers were measured using quantitative real time PCR. We used a two-sample independent t test to evaluate the difference in mtDNA in the two plasma fractions and mtDNA copy number in peripheral blood leucocytes among breast cancer cases and controls. The plasma pellet fraction predominantly contained particles that were 1-3 microns in size that stained positively for both Annexin V and CD61 indicating that these particles were platelet derived microparticles. The mtDNA in the plasma pellet accounted for 96% of all the plasma mtDNA seen in both cases and controls. Both the plasma supernatant mtDNA (2601034 mtDNA copies/ml of plasma vs. 4700446 mtDNA copies/ml of plasma; p = 0.004) and plasma pellet mtDNA (67787069 mtDNA copies/ml of plasma vs. 112883929 mtDNA copies/ml of plasma; p = 0.001) were significantly lower in the breast cancer cases as compared to controls. Peripheral blood leucocytes mtDNA copy number was not associated with breast cancer risk (4.27 vs. 3.73; p=0.14). There was no correlation between mtDNA in peripheral blood and the various fractions of plasma mtDNA (r= -0.08 - 0.07; p = 0.55 - 0.63). This is the first study to demonstrate platelet derived microparticles as the source of the plasma pellet mtDNA. This study shows that both the supernatant and pelleted fractions of plasma mtDNA are associated with breast cancer risk. Peripheral blood leucocytes mtDNA was not associated with breast cancer risk and was not correlated with plasma mtDNA. Future studies are needed to confirm these associations and evaluate possible mechanisms through which plasma mtDNA copy number is associated with breast cancer risk.
Citation Format: Bharat Thyagarajan, Helene Barcelo, Kristin E. Anderson, Karen Swenson, Heather Nelson, Myron D. Gross. A low plasma mitchondrial DNA copy number is associated with increased breast cancer risk. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3277. doi:10.1158/1538-7445.AM2014-3277
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Schick UM, Auer PL, Bis JC, Lin H, Wei P, Pankratz N, Lange LA, Brody J, Stitziel NO, Kim DS, Carlson CS, Fornage M, Haessler J, Hsu L, Jackson RD, Kooperberg C, Leal SM, Psaty BM, Boerwinkle E, Tracy R, Ardissino D, Shah S, Willer C, Loos R, Melander O, Mcpherson R, Hovingh K, Reilly M, Watkins H, Girelli D, Fontanillas P, Chasman DI, Gabriel SB, Gibbs R, Nickerson DA, Kathiresan S, Peters U, Dupuis J, Wilson JG, Rich SS, Morrison AC, Benjamin EJ, Gross MD, Reiner AP. Association of exome sequences with plasma C-reactive protein levels in >9000 participants. Hum Mol Genet 2014; 24:559-71. [PMID: 25187575 DOI: 10.1093/hmg/ddu450] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
C-reactive protein (CRP) concentration is a heritable systemic marker of inflammation that is associated with cardiovascular disease risk. Genome-wide association studies have identified CRP-associated common variants associated in ∼25 genes. Our aims were to apply exome sequencing to (1) assess whether the candidate loci contain rare coding variants associated with CRP levels and (2) perform an exome-wide search for rare variants in novel genes associated with CRP levels. We exome-sequenced 6050 European-Americans (EAs) and 3109 African-Americans (AAs) from the NHLBI-ESP and the CHARGE consortia, and performed association tests of sequence data with measured CRP levels. In single-variant tests across candidate loci, a novel rare (minor allele frequency = 0.16%) CRP-coding variant (rs77832441-A; p.Thr59Met) was associated with 53% lower mean CRP levels (P = 2.9 × 10(-6)). We replicated the association of rs77832441 in an exome array analysis of 11 414 EAs (P = 3.0 × 10(-15)). Despite a strong effect on CRP levels, rs77832441 was not associated with inflammation-related phenotypes including coronary heart disease. We also found evidence for an AA-specific association of APOE-ε2 rs7214 with higher CRP levels. At the exome-wide significance level (P < 5.0 × 10(-8)), we confirmed associations for reported common variants of HNF1A, CRP, IL6R and TOMM40-APOE. In gene-based tests, a burden of rare/lower frequency variation in CRP in EAs (P ≤ 6.8 × 10(-4)) and in retinoic acid receptor-related orphan receptor α (RORA) in AAs (P = 1.7 × 10(-3)) were associated with CRP levels at the candidate gene level (P < 2.0 × 10(-3)). This inquiry did not elucidate novel genes, but instead demonstrated that variants distributed across the allele frequency spectrum within candidate genes contribute to CRP levels.
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Affiliation(s)
- Ursula M Schick
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Paul L Auer
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Honghuang Lin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Peng Wei
- Human Genetics Center, School of Public Health
| | - Nathan Pankratz
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Leslie A Lange
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Jennifer Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Nathan O Stitziel
- Cardiovascular Division, Department of Medicine Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | | | - Christopher S Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Myriam Fornage
- Human Genetics Center, School of Public Health Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jeffery Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA Department of Biostatistics
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University, Columbus, OH 43210, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Suzanne M Leal
- Center for Statistical Genetics, Department of Molecular and Human Genetics
| | - Bruce M Psaty
- Department of Epidemiology, Cardiovascular Health Research Unit Department of Medicine Department of Health Services Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Russell Tracy
- Departments of Biochemistry and Pathology, University of Vermont, Burlington, VT 05401, USA
| | - Diego Ardissino
- Division of Cardiology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Svati Shah
- Division of Cardiology, Department of Medicine and Center for Human Genetics, Duke University, Durham, NC, USA
| | - Cristen Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine Department of Computational Medicine and Bioinformatics Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Ruth Loos
- The Charles Bronfman Institute for Personalized Medicine The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Olle Melander
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, University Hospital Malmö, Malmö, Sweden
| | - Ruth Mcpherson
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Kees Hovingh
- Department of Vascular Medicine Department of Experimental Vascular Medicine, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
| | - Muredach Reilly
- The Institute for Translational Medicine and Therapeutics and The Cardiovascular Institute, Perleman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hugh Watkins
- Cardiovascular Medicine, Radcliffe Department of Medicine Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Domenico Girelli
- Department of Medicine, University of Verona School of Medicine, Verona, Italy
| | - Pierre Fontanillas
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel I Chasman
- Center for Cardiovascular Disease Prevention, Division of Preventative Medicine, Brigham and Women's Hospital, 900 Commonwealth Drive, Boston, MA 02115, USA
| | - Stacey B Gabriel
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Richard Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's, Boston University's Framingham Heart Study, Framingham, MA 01702, USA Department of Biostatistics
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA and
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA
| | | | - Emelia J Benjamin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA National Heart, Lung, and Blood Institute's, Boston University's Framingham Heart Study, Framingham, MA 01702, USA Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Myron D Gross
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
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Abstract
BACKGROUND Limited research has examined the association between dietary patterns and mortality, especially in non-Western populations. OBJECTIVE We examined the association of dietary patterns with all-cause mortality and cause-specific mortality in the Singapore Chinese Health Study, which included a unique ethnic population with strong Western and South Asian cultural influences. DESIGN We conducted a prospective data analysis of the Singapore Chinese Health Study, which included 52,584 Chinese men and women (aged 45-74 y) who were free of diabetes, cardiovascular disease (CVD), and cancer at baseline (1993-1998) and followed through 2011 with 10,029 deaths. The following 2 major dietary patterns were identified by using a principal components analysis: a vegetable-, fruit-, and soy-rich (VFS) pattern and a dim sum- and meat-rich (DSM) dietary pattern. Pattern scores for each participant were calculated and examined with all-cause and cause-specific mortality risks by using a Cox proportional hazards regression. RESULTS The VFS pattern was inversely associated with all-cause mortality and each cause-specific category (CVD, cancer, and respiratory) of mortality during the follow-up period. Compared with the lowest quintile of the VFS pattern, HRs for quintiles 2-5 for all-cause mortality were 0.90, 0.79, 0.80, and 0.75, respectively (P-trend < 0.0001). The DSM pattern was positively associated with CVD mortality in the whole population (HR for fifth quintile compared with first quintile: 1.23; 95% CI: 1.07, 1.40; P-trend = 0.001). Positive associations between the DSM pattern and cancer and all-cause mortality were only present in ever-smokers. In ever-smokers, relative to the first quintile, HRs for quintiles 2-5 of the DSM pattern for all-cause mortality were 1.04, 1.04, 1.13, and 1.24, respectively (P-trend < 0.0001). Similarly, HRs for quintiles 2-5 for cancer mortality were 1.08, 1.03, 1.25, and 1.34, respectively (P-trend < 0.0001). The DSM pattern was not associated with respiratory mortality. CONCLUSION Dietary patterns are strongly associated with mortality in Chinese Singaporeans.
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Affiliation(s)
- Andrew O Odegaard
- From the School of Public Health Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN (AOO, MDG, and MAP); The Duke-National University of Singapore Graduate Medical School, Singapore (W-PK); the Saw Swee Hock School of Public Health, National University of Singapore (W-PK); the Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA (J-MY); and the Graduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA (J-MY)
| | - Woon-Puay Koh
- From the School of Public Health Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN (AOO, MDG, and MAP); The Duke-National University of Singapore Graduate Medical School, Singapore (W-PK); the Saw Swee Hock School of Public Health, National University of Singapore (W-PK); the Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA (J-MY); and the Graduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA (J-MY)
| | - Jian-Min Yuan
- From the School of Public Health Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN (AOO, MDG, and MAP); The Duke-National University of Singapore Graduate Medical School, Singapore (W-PK); the Saw Swee Hock School of Public Health, National University of Singapore (W-PK); the Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA (J-MY); and the Graduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA (J-MY)
| | - Myron D Gross
- From the School of Public Health Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN (AOO, MDG, and MAP); The Duke-National University of Singapore Graduate Medical School, Singapore (W-PK); the Saw Swee Hock School of Public Health, National University of Singapore (W-PK); the Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA (J-MY); and the Graduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA (J-MY)
| | - Mark A Pereira
- From the School of Public Health Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN (AOO, MDG, and MAP); The Duke-National University of Singapore Graduate Medical School, Singapore (W-PK); the Saw Swee Hock School of Public Health, National University of Singapore (W-PK); the Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA (J-MY); and the Graduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA (J-MY)
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Chen P, Takeuchi F, Lee JY, Li H, Wu JY, Liang J, Long J, Tabara Y, Goodarzi MO, Pereira MA, Kim YJ, Go MJ, Stram DO, Vithana E, Khor CC, Liu J, Liao J, Ye X, Wang Y, Lu L, Young TL, Lee J, Thai AC, Cheng CY, van Dam RM, Friedlander Y, Heng CK, Koh WP, Chen CH, Chang LC, Pan WH, Qi Q, Isono M, Zheng W, Cai Q, Gao Y, Yamamoto K, Ohnaka K, Takayanagi R, Kita Y, Ueshima H, Hsiung CA, Cui J, Sheu WHH, Rotter JI, Chen YDI, Hsu C, Okada Y, Kubo M, Takahashi A, Tanaka T, van Rooij FJA, Ganesh SK, Huang J, Huang T, Yuan J, Hwang JY, Gross MD, Assimes TL, Miki T, Shu XO, Qi L, Chen YT, Lin X, Aung T, Wong TY, Teo YY, Kim BJ, Kato N, Tai ES. Multiple nonglycemic genomic loci are newly associated with blood level of glycated hemoglobin in East Asians. Diabetes 2014; 63:2551-62. [PMID: 24647736 PMCID: PMC4284402 DOI: 10.2337/db13-1815] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 03/08/2014] [Indexed: 11/13/2022]
Abstract
Glycated hemoglobin A1c (HbA1c) is used as a measure of glycemic control and also as a diagnostic criterion for diabetes. To discover novel loci harboring common variants associated with HbA1c in East Asians, we conducted a meta-analysis of 13 genome-wide association studies (GWAS; N = 21,026). We replicated our findings in three additional studies comprising 11,576 individuals of East Asian ancestry. Ten variants showed associations that reached genome-wide significance in the discovery data set, of which nine (four novel variants at TMEM79 [P value = 1.3 × 10(-23)], HBS1L/MYB [8.5 × 10(-15)], MYO9B [9.0 × 10(-12)], and CYBA [1.1 × 10(-8)] as well as five variants at loci that had been previously identified [CDKAL1, G6PC2/ABCB11, GCK, ANK1, and FN3KI]) showed consistent evidence of association in replication data sets. These variants explained 1.76% of the variance in HbA1c. Several of these variants (TMEM79, HBS1L/MYB, CYBA, MYO9B, ANK1, and FN3K) showed no association with either blood glucose or type 2 diabetes. Among individuals with nondiabetic levels of fasting glucose (<7.0 mmol/L) but elevated HbA1c (≥6.5%), 36.1% had HbA1c <6.5% after adjustment for these six variants. Our East Asian GWAS meta-analysis has identified novel variants associated with HbA1c as well as demonstrated that the effects of known variants are largely transferable across ethnic groups. Variants affecting erythrocyte parameters rather than glucose metabolism may be relevant to the use of HbA1c for diagnosing diabetes in these populations.
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Affiliation(s)
- Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | | | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Huaixing Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, TaiwanSchool of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, Affiliated Hospital of Southeast University, Xuzhou, Jiangsu, China
| | - Jirong Long
- Vanderbilt Epidemiology Center and Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Mark A Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore National Eye Centre, SingaporeNeuroscience and Behavioural Disorders (NBD) Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Chiea-Chuen Khor
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeDepartment of Ophthalmology, National University of Singapore, SingaporeGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, SingaporeDepartment of Paediatrics, National University of Singapore, Singapore
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jiemin Liao
- Singapore Eye Research Institute, Singapore National Eye Centre, SingaporeDepartment of Ophthalmology, National University of Singapore, Singapore
| | - Xingwang Ye
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yiqin Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Ling Lu
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Terri L Young
- Neuroscience and Behavioural Disorders (NBD) Program, Duke-National University of Singapore Graduate Medical School, SingaporeDuke Eye Center, Duke University Medical Center, Durham, NC
| | - Jeannette Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Ah Chuan Thai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ching-Yu Cheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeSingapore Eye Research Institute, Singapore National Eye Centre, SingaporeDepartment of Ophthalmology, National University of Singapore, SingaporeCentre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Chew-Kiat Heng
- Department of Paediatrics, National University of Singapore, Singapore
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeDuke-National University of Singapore Graduate Medical School, Singapore
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, TaiwanSchool of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Masato Isono
- National Center for Global Health and Medicine, Tokyo, Japan
| | - Wei Zheng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Qiuyin Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Yutang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Ken Yamamoto
- Division of Genomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Keizo Ohnaka
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ryoichi Takayanagi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshikuni Kita
- Department of Health Science, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Japan
| | - Hirotsugu Ueshima
- Department of Health Science, and Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Japan
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Jinrui Cui
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Wayne H-H Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, TaiwanSchool of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Jerome I Rotter
- Institute for Translational Genomics and Biomedical Sciences, Los Angeles Biomedical Research Institute, Harbor-University of California, Los Angeles Medical Center, Torrance, CA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Biomedical Sciences, Los Angeles Biomedical Research Institute, Harbor-University of California, Los Angeles Medical Center, Torrance, CA
| | - Chris Hsu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, JapanLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Toshihiro Tanaka
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, JapanLaboratory for Cardiovascular Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Santhi K Ganesh
- Departments of Internal Medicine and Human Genetics, University of Michigan, Ann Arbor, MI
| | - Jinyan Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Tao Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Jianmin Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Joo-Yeon Hwang
- Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN
| | | | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center and Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MAChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Yuan-Tson Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, TaiwanDepartment of Pediatrics, Duke University Medical Center, Durham, NC
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, SingaporeDepartment of Ophthalmology, National University of Singapore, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeSingapore Eye Research Institute, Singapore National Eye Centre, SingaporeGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, SingaporeNUS Graduate School for Integrative Science and Engineering, National University of Singapore, SingaporeDepartment of Statistics and Applied Probability, National University of Singapore, Singapore
| | - Bong-Jo Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea
| | - Norihiro Kato
- National Center for Global Health and Medicine, Tokyo, Japan
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, SingaporeDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, SingaporeDuke-National University of Singapore Graduate Medical School, Singapore
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Keyserling TC, Sheridan SL, Draeger LB, Finkelstein EA, Gizlice Z, Kruger E, Johnston LF, Sloane PD, Samuel-Hodge C, Evenson KR, Gross MD, Donahue KE, Pignone MP, Vu MB, Steinbacher EA, Weiner BJ, Bangdiwala SI, Ammerman AS. A comparison of live counseling with a web-based lifestyle and medication intervention to reduce coronary heart disease risk: a randomized clinical trial. JAMA Intern Med 2014; 174:1144-57. [PMID: 24861959 PMCID: PMC4142754 DOI: 10.1001/jamainternmed.2014.1984] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE Most primary care clinicians lack the skills and resources to offer effective lifestyle and medication (L&M) counseling to reduce coronary heart disease (CHD) risk. Thus, effective and feasible CHD prevention programs are needed for typical practice settings. OBJECTIVE To assess the effectiveness, acceptability, and cost-effectiveness of a combined L&M intervention to reduce CHD risk offered in counselor-delivered and web-based formats. DESIGN, SETTING, AND PARTICIPANTS A comparative effectiveness trial in 5 diverse family medicine practices in North Carolina. Participants were established patients, aged 35 to 79 years, with no known cardiovascular disease, and at moderate to high risk for CHD (10-year Framingham Risk Score [FRS], ≥10%). INTERVENTIONS Participants were randomized to counselor-delivered or web-based format, each including 4 intensive and 3 maintenance sessions. After randomization, both formats used a web-based decision aid showing potential CHD risk reduction associated with L&M risk-reducing strategies. Participants chose the risk-reducing strategies they wished to follow. MAIN OUTCOMES AND MEASURES The primary outcome was within-group change in FRS at 4-month follow-up. Other measures included standardized assessments of blood pressure, blood lipid levels, lifestyle behaviors, and medication adherence. Acceptability and cost-effectiveness were also assessed. Outcomes were assessed at 4 and 12 months. RESULTS Of 2274 screened patients, 385 were randomized (192 counselor; 193 web): mean age, 62 years; 24% African American; and mean FRS, 16.9%. Follow-up at 4 and 12 months included 91% and 87% of the randomized participants, respectively. There was a sustained reduction in FRS at both 4 months (primary outcome) and 12 months for both counselor-based (-2.3% [95% CI, -3.0% to -1.6%] and -1.9% [95% CI, -2.8% to -1.1%], respectively) and web-based groups (-1.5% [95% CI, -2.2% to -0.9%] and -1.7% [95% CI, -2.6% to -0.8%] respectively). At 4 months, the adjusted difference in FRS between groups was -1.0% (95% CI, -1.8% to -0.1%) (P = .03), and at 12 months, it was -0.6% (95% CI, -1.7% to 0.5%) (P = .30). The 12-month costs from the payer perspective were $207 and $110 per person for the counselor- and web-based interventions, respectively. CONCLUSIONS AND RELEVANCE Both intervention formats reduced CHD risk through 12-month follow-up. The web format was less expensive. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01245686.
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Affiliation(s)
- Thomas C Keyserling
- Division of General Medicine and Clinical Epidemiology, School of Medicine, University of North Carolina, Chapel Hill2Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill
| | - Stacey L Sheridan
- Division of General Medicine and Clinical Epidemiology, School of Medicine, University of North Carolina, Chapel Hill2Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill3Cecil G. Sheps Center for Health Services R
| | - Lindy B Draeger
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill
| | - Eric A Finkelstein
- Health Services and Systems Research Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Ziya Gizlice
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill
| | - Eliza Kruger
- Health Services and Systems Research Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Larry F Johnston
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill
| | - Philip D Sloane
- Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill5Department of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill
| | - Carmen Samuel-Hodge
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill6Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Katrina E Donahue
- Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill5Department of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill
| | - Michael P Pignone
- Division of General Medicine and Clinical Epidemiology, School of Medicine, University of North Carolina, Chapel Hill3Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill
| | - Maihan B Vu
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill
| | | | - Bryan J Weiner
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Shrikant I Bangdiwala
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill11Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Alice S Ammerman
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill5Department of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill6Department of Nutrition, Gillings School of Global Public Health, Un
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Sijtsma FPC, Meyer KA, Steffen LM, Van Horn L, Shikany JM, Odegaard AO, Gross MD, Kromhout D, Jacobs DR. Diet quality and markers of endothelial function: the CARDIA study. Nutr Metab Cardiovasc Dis 2014; 24:632-8. [PMID: 24534074 PMCID: PMC4037360 DOI: 10.1016/j.numecd.2013.12.010] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Revised: 12/18/2013] [Accepted: 12/18/2013] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND AIM Dietary patterns are associated cross-sectionally with cellular adhesion molecules (CAMs). We studied prospective associations of three dietary patterns with CAMs. METHODS AND RESULTS In the Coronary Artery Risk Development in Young Adults (CARDIA) study, diet was assessed at years 0 (1985-86) and 7 (1992-93) examinations. Four circulating CAMs (E-selectin, P-selectin, soluble intercellular adhesion molecule 1 (sICAM-1), and vascular cellular adhesion molecule (VCAM)) were assayed at years 7 and 15 (2000-01). We created one index score "A Priori Diet Quality Score" and derived dietary patterns using principal components analysis (PCA). Multivariable linear regression models predicted year 15 CAMs from averaged (year 0/7) dietary patterns. The A Priori Diet Quality Score rated 46 food groups beneficial, neutral or adverse based on hypothesized health effects. We derived two PCA dietary patterns: "fruit and vegetables (FV)" (high intakes of fruit, vegetables, and whole grains) and "meat" (high intakes of red meat, refined grain, and butter). All dietary patterns were related to E-selectin and sICAM-1. P-selectin was not related to the FV dietary pattern. VCAM was only related to the A Priori Diet Quality Score. Strongest associations were for the meat dietary pattern with E-selectin (effect size 28% of an SD (+3.9/13.7 ng/mL)) and P-selectin (effect size 37% of an SD (+4.1/11.2 ng/mL)) and the A Priori Diet Quality Score with sICAM-1 (effect size 34% of an SD (-15.1/44.7 ng/mL)) and VCAM (effect size of 26% of an SD (-45.1/170.3 ng/mL)). CONCLUSION This prospective analysis suggests that dietary patterns are associated with CAMs.
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Affiliation(s)
- F P C Sijtsma
- The Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA; The Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
| | - K A Meyer
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - L M Steffen
- The Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - L Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - J M Shikany
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - A O Odegaard
- The Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - M D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - D Kromhout
- The Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - D R Jacobs
- The Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA; The Department of Nutrition, University of Oslo, Oslo, Norway
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Ellis J, Lange EM, Li J, Dupuis J, Baumert J, Walston JD, Keating BJ, Durda P, Fox ER, Palmer CD, Meng YA, Young T, Farlow DN, Schnabel RB, Marzi CS, Larkin E, Martin LW, Bis JC, Auer P, Ramachandran VS, Gabriel SB, Willis MS, Pankow JS, Papanicolaou GJ, Rotter JI, Ballantyne CM, Gross MD, Lettre G, Wilson JG, Peters U, Koenig W, Tracy RP, Redline S, Reiner AP, Benjamin EJ, Lange LA. Large multiethnic Candidate Gene Study for C-reactive protein levels: identification of a novel association at CD36 in African Americans. Hum Genet 2014; 133:985-95. [PMID: 24643644 DOI: 10.1007/s00439-014-1439-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 03/06/2014] [Indexed: 10/25/2022]
Abstract
C-reactive protein (CRP) is a heritable biomarker of systemic inflammation and a predictor of cardiovascular disease (CVD). Large-scale genetic association studies for CRP have largely focused on individuals of European descent. We sought to uncover novel genetic variants for CRP in a multiethnic sample using the ITMAT Broad-CARe (IBC) array, a custom 50,000 SNP gene-centric array having dense coverage of over 2,000 candidate CVD genes. We performed analyses on 7,570 African Americans (AA) from the Candidate gene Association Resource (CARe) study and race-combined meta-analyses that included 29,939 additional individuals of European descent from CARe, the Women's Health Initiative (WHI) and KORA studies. We observed array-wide significance (p < 2.2 × 10(-6)) for four loci in AA, three of which have been reported previously in individuals of European descent (IL6R, p = 2.0 × 10(-6); CRP, p = 4.2 × 10(-71); APOE, p = 1.6 × 10(-6)). The fourth significant locus, CD36 (p = 1.6 × 10(-6)), was observed at a functional variant (rs3211938) that is extremely rare in individuals of European descent. We replicated the CD36 finding (p = 1.8 × 10(-5)) in an independent sample of 8,041 AA women from WHI; a meta-analysis combining the CARe and WHI AA results at rs3211938 reached genome-wide significance (p = 1.5 × 10(-10)). In the race-combined meta-analyses, 13 loci reached significance, including ten (CRP, TOMM40/APOE/APOC1, HNF1A, LEPR, GCKR, IL6R, IL1RN, NLRP3, HNF4A and BAZ1B/BCL7B) previously associated with CRP, and one (ARNTL) previously reported to be nominally associated with CRP. Two novel loci were also detected (RPS6KB1, p = 2.0 × 10(-6); CD36, p = 1.4 × 10(-6)). These results highlight both shared and unique genetic risk factors for CRP in AA compared to populations of European descent.
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Affiliation(s)
- Jaclyn Ellis
- Department of Genetics, University of North Carolina, 5112 Genetic Medicine Bldg., Chapel Hill, NC, 27599-7264, USA
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Chen Z, Pereira MA, Seielstad M, Koh WP, Tai ES, Teo YY, Liu J, Hsu C, Wang R, Odegaard AO, Thyagarajan B, Koratkar R, Yuan JM, Gross MD, Stram DO. Joint effects of known type 2 diabetes susceptibility loci in genome-wide association study of Singapore Chinese: the Singapore Chinese health study. PLoS One 2014; 9:e87762. [PMID: 24520337 PMCID: PMC3919750 DOI: 10.1371/journal.pone.0087762] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Accepted: 12/30/2013] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified genetic factors in type 2 diabetes (T2D), mostly among individuals of European ancestry. We tested whether previously identified T2D-associated single nucleotide polymorphisms (SNPs) replicate and whether SNPs in regions near known T2D SNPs were associated with T2D within the Singapore Chinese Health Study. METHODS 2338 cases and 2339 T2D controls from the Singapore Chinese Health Study were genotyped for 507,509 SNPs. Imputation extended the genotyped SNPs to 7,514,461 with high estimated certainty (r(2)>0.8). Replication of known index SNP associations in T2D was attempted. Risk scores were computed as the sum of index risk alleles. SNPs in regions ± 100 kb around each index were tested for associations with T2D in conditional fine-mapping analysis. RESULTS Of 69 index SNPs, 20 were genotyped directly and genotypes at 35 others were well imputed. Among the 55 SNPs with data, disease associations were replicated (at p<0.05) for 15 SNPs, while 32 more were directionally consistent with previous reports. Risk score was a significant predictor with a 2.03 fold higher risk CI (1.69-2.44) of T2D comparing the highest to lowest quintile of risk allele burden (p = 5.72 × 10(-14)). Two improved SNPs around index rs10923931 and 5 new candidate SNPs around indices rs10965250 and rs1111875 passed simple Bonferroni corrections for significance in conditional analysis. Nonetheless, only a small fraction (2.3% on the disease liability scale) of T2D burden in Singapore is explained by these SNPs. CONCLUSIONS While diabetes risk in Singapore Chinese involves genetic variants, most disease risk remains unexplained. Further genetic work is ongoing in the Singapore Chinese population to identify unique common variants not already seen in earlier studies. However rapid increases in T2D risk have occurred in recent decades in this population, indicating that dynamic environmental influences and possibly gene by environment interactions complicate the genetic architecture of this disease.
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Affiliation(s)
- Zhanghua Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Mark Seielstad
- Department of Laboratory Medicine, Department of Epidemiology and Biostatistics, and California Institute for Quantitative Biosciences (QB3), University of California San Francisco, San Francisco, California, United States of America
| | - Woon-Puay Koh
- Duke-National University of Singapore Graduate Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - E. Shyong Tai
- Duke-National University of Singapore Graduate Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Chris Hsu
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Renwei Wang
- Department of Epidemiology, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America
| | - Andrew O. Odegaard
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Bharat Thyagarajan
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Revati Koratkar
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Jian-Min Yuan
- Department of Epidemiology, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America
| | - Myron D. Gross
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
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Kong SYJ, Bostick RM, Flanders WD, McClellan WM, Thyagarajan B, Gross MD, Judd S, Goodman M. Oxidative balance score, colorectal adenoma, and markers of oxidative stress and inflammation. Cancer Epidemiol Biomarkers Prev 2014; 23:545-54. [PMID: 24443405 DOI: 10.1158/1055-9965.epi-13-0619] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND An oxidative balance score (OBS) that combines pro- and antioxidant exposures was previously reported to be associated with incident sporadic colorectal adenoma. We extend the previous analyses by assessing associations of the OBS and colorectal adenoma with circulating biomarkers of oxidative stress [F2-isoprostanes (FIP) and fluorescent oxidation products (FOP)], and inflammation [C-reactive protein (CRP)]. METHODS Using pooled data from two previously conducted colonoscopy-based case-control studies of incident, sporadic colorectal adenoma (n = 365), the OBS was constructed and divided into three approximately equal intervals, with the lowest interval used as the reference. Biomarker levels were dichotomized as "high" versus "low" based on the median values among controls. Multivariable logistic regression was used to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS For the OBS-adenoma association, the ORs (95% CIs) for the middle and highest (relative to the lowest) score intervals were 0.81 (0.46-1.43) and 0.39 (0.17-0.89), respectively. The corresponding OBS category-specific ORs (95% CIs) were 0.50 (0.25-1.01) and 0.25 (0.10-0.65) for FIP, 2.01 (1.13-3.75) and 3.48 (1.51-8.02) for FOP, and 0.57 (0.31-1.04) and 0.21 (0.09-0.49) for CRP. The ORs (95% CIs) reflecting associations of adenoma with high levels of FIP, FOP, and CRP were 1.89 (1.08-3.30), 1.82 (1.11-2.99), and 1.45 (0.88-2.40), respectively. CONCLUSIONS As hypothesized, the OBS was inversely associated with colorectal adenoma and circulating FIP and CRP levels. The reason for the unexpected direct OBS-FOP association is unknown. IMPACT These data support the use of combined measures of pro- and antioxidant exposures in studies of colorectal neoplasia.
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Affiliation(s)
- So Yeon J Kong
- Authors' Affiliations: Department of Epidemiology, Rollins School of Public Health; Winship Cancer Institute, Emory University, Atlanta, Georgia; Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, Minnesota; and Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama
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