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Chronister BNC, Justo D, Wood R, Lopez-Paredes D, Gonzalez E, Suarez-Torres J, Gahagan S, Martinez D, Jacobs DR, Checkoway H, Jankowska MM, Suarez-Lopez JR. Sex and adrenal hormones in association with insecticide biomarkers among adolescents living in ecuadorian agricultural communities. Int J Hyg Environ Health 2024; 259:114386. [PMID: 38703462 DOI: 10.1016/j.ijheh.2024.114386] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 04/09/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Organophosphate, pyrethroid, and neonicotinoid insecticides have resulted in adrenal and gonadal hormone disruption in animal and in vitro studies; limited epidemiologic evidence exists in humans. We assessed relationships of urinary insecticide metabolite concentrations with adrenal and gonadal hormones in adolescents living in Ecuadorean agricultural communities. METHODS In 2016, we examined 522 Ecuadorian adolescents (11-17y, 50.7% female, 22% Indigenous; ESPINA study). We measured urinary insecticide metabolites, blood acetylcholinesterase activity (AChE), and salivary testosterone, dehydroepiandrosterone (DHEA), 17β-estradiol, and cortisol. We used general linear models to assess linear (β = % hormone difference per 50% increase of metabolite concentration) and curvilinear relationships (β2 = hormone difference per unit increase in squared ln-metabolite) between ln-metabolite or AChE and ln-hormone concentrations, stratified by sex, adjusting for anthropometric, demographic, and awakening response variables. Bayesian Kernel Machine Regression was used to assess non-linear associations and interactions. RESULTS The organophosphate metabolite malathion dicarboxylic acid (MDA) had positive associations with testosterone (βboys = 5.88% [1.21%, 10.78%], βgirls = 4.10% [-0.02%, 8.39%]), and cortisol (βboys = 6.06 [-0.23%, 12.75%]. Para-nitrophenol (organophosphate) had negatively-trending curvilinear associations, with testosterone (β2boys = -0.17 (-0.33, -0.003), p = 0.04) and DHEA (β2boys = -0.49 (-0.80, -0.19), p = 0.001) in boys. The neonicotinoid summary score (βboys = 5.60% [0.14%, 11.36%]) and the neonicotinoid acetamiprid-N-desmethyl (βboys = 3.90% [1.28%, 6.58%]) were positively associated with 17β-estradiol, measured in boys only. No associations between the pyrethroid 3-phenoxybenzoic acid and hormones were observed. In girls, bivariate response associations identified interactions of MDA, Para-nitrophenol, and 3,5,6-trichloro-2-pyridinol (organophosphates) with testosterone and DHEA concentrations. In boys, we observed an interaction of MDA and Para-nitrophenol with DHEA. No associations were identified for AChE. CONCLUSIONS We observed evidence of endocrine disruption for specific organophosphate and neonicotinoid metabolite exposures in adolescents. Urinary organophosphate metabolites were associated with testosterone and DHEA concentrations, with stronger associations in boys than girls. Urinary neonicotinoids were positively associated with 17β-estradiol. Longitudinal repeat-measures analyses would be beneficial for causal inference.
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Affiliation(s)
- Briana N C Chronister
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA; School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Denise Justo
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Robert Wood
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Eduardo Gonzalez
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Sheila Gahagan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - David R Jacobs
- School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Harvey Checkoway
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Marta M Jankowska
- Department of Population Sciences, Beckman Research Institute of City of Hope, Los Angeles, CA, 91010, USA
| | - Jose R Suarez-Lopez
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA.
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Vameghestahbanati M, Kingdom L, Hoffman EA, Kirby M, Allen NB, Angelini E, Bertoni A, Hamid Q, Hogg JC, Jacobs DR, Laine A, Maltais F, Michos ED, Sack C, Sin D, Watson KE, Wysoczanksi A, Couper D, Cooper C, Han M, Woodruff P, Tan WC, Bourbeau J, Barr RG, Smith BM. Airway tree caliber heterogeneity and airflow obstruction among older adults. J Appl Physiol (1985) 2024; 136:1144-1156. [PMID: 38420676 DOI: 10.1152/japplphysiol.00694.2022] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/07/2024] [Accepted: 02/22/2024] [Indexed: 03/02/2024] Open
Abstract
Smaller mean airway tree caliber is associated with airflow obstruction and chronic obstructive pulmonary disease (COPD). We investigated whether airway tree caliber heterogeneity was associated with airflow obstruction and COPD. Two community-based cohorts (MESA Lung, CanCOLD) and a longitudinal case-control study of COPD (SPIROMICS) performed spirometry and computed tomography measurements of airway lumen diameters at standard anatomical locations (trachea-to-subsegments) and total lung volume. Percent-predicted airway lumen diameters were calculated using sex-specific reference equations accounting for age, height, and lung volume. The association of airway tree caliber heterogeneity, quantified as the standard deviation (SD) of percent-predicted airway lumen diameters, with baseline forced expired volume in 1-second (FEV1), FEV1/forced vital capacity (FEV1/FVC) and COPD, as well as longitudinal spirometry, were assessed using regression models adjusted for age, sex, height, race-ethnicity, and mean airway tree caliber. Among 2,505 MESA Lung participants (means ± SD age: 69 ± 9 yr; 53% female, mean airway tree caliber: 99 ± 10% predicted, airway tree caliber heterogeneity: 14 ± 5%; median follow-up: 6.1 yr), participants in the highest quartile of airway tree caliber heterogeneity exhibited lower FEV1 (adjusted mean difference: -125 mL, 95%CI: -171,-79), lower FEV1/FVC (adjusted mean difference: -0.01, 95%CI: -0.02,-0.01), and higher odds of COPD (adjusted odds ratio: 1.42, 95%CI: 1.01-2.02) when compared with the lowest quartile, whereas longitudinal changes in FEV1 and FEV1/FVC did not differ significantly. Observations in CanCOLD and SPIROMICS were consistent. Among older adults, airway tree caliber heterogeneity was associated with airflow obstruction and COPD at baseline but was not associated with longitudinal changes in spirometry.NEW & NOTEWORTHY In this study, by leveraging two community-based samples and a case-control study of heavy smokers, we show that among older adults, airway tree caliber heterogeneity quantified by CT is associated with airflow obstruction and COPD independent of age, sex, height, race-ethnicity, and dysanapsis. These observations suggest that airway tree caliber heterogeneity is a structural trait associated with low baseline lung function and normal decline trajectory that is relevant to COPD.
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Affiliation(s)
| | - Leina Kingdom
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Eric A Hoffman
- Department of Radiology, University of Iowa, Iowa City, Iowa, United States
| | - Miranda Kirby
- Department of Physics, Ryerson University, Toronto, Ontario, Canada
| | - Norrina B Allen
- Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University, Chicago, Illinois, United States
| | - Elsa Angelini
- Faculty of Medicine, Imperial College London, London, United Kingdom
- Department of Medicine, Columbia University, New York, New York, United States
| | - Alain Bertoni
- Department of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina, United States
| | - Qutayba Hamid
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Faculty of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - James C Hogg
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada
| | - David R Jacobs
- School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States
| | - Andrew Laine
- Department of Medicine, Columbia University, New York, New York, United States
| | - Francois Maltais
- Faculty of Medicine , University of Laval, Laval, Quebec, Canada
| | - Erin D Michos
- Faculty of Medicine, Johns Hopkins University, Baltimore, Maryland, United States
| | - Coralynn Sack
- Department of Medicine, University of Washington, Seattle, Washington, United States
| | - Don Sin
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada
| | - Karol E Watson
- Department of Medicine, University of California, Los Angeles, California, United States
| | - Artur Wysoczanksi
- Department of Medicine, Columbia University, New York, New York, United States
| | - David Couper
- Department of Biostatistics, University of North Carolina, North Carolina, United States
| | - Christopher Cooper
- Department of Medicine, University of California, Los Angeles, California, United States
| | - Meilan Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Prescott Woodruff
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, United States
| | - Wan C Tan
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jean Bourbeau
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - R Graham Barr
- Department of Medicine, Columbia University, New York, New York, United States
| | - Benjamin M Smith
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Department of Medicine, Columbia University, New York, New York, United States
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3
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Adam HS, Molinsky R, Bohn B, Roy S, Rosenbaum M, Paster B, Yuzefpolskaya M, Colombo PC, Papapanou PN, Desvarieux M, Jacobs DR, Demmer RT. Clinical attachment loss is cross-sectionally associated with elevated glucose among adults without diabetes. J Clin Periodontol 2024; 51:522-535. [PMID: 38343130 PMCID: PMC11023769 DOI: 10.1111/jcpe.13945] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 12/19/2023] [Accepted: 01/01/2024] [Indexed: 04/18/2024]
Abstract
AIM We investigated whether periodontal measures are cross-sectionally associated with prediabetes and cardiometabolic biomarkers among non-diabetic younger adults. MATERIALS AND METHODS One thousand seventy-one participants (mean age = 32.2 years [SE = 0.3]; 73% female) from the Oral Infections, Glucose Intolerance and Insulin Resistance Study were enrolled. Full-mouth clinical attachment loss (fm-CAL), probing depth (fm-PD) and bleeding on probing were ascertained. Interproximal CAL (i-CAL) and probing depths (i-PD) served as our primary exposures. Glucose, HbA1c, insulin and insulin resistance (HOMA-IR) outcomes were assessed from fasting blood. Prediabetes was defined per American Diabetes Association guidelines. Prediabetes prevalence ratios (PR [95% CI]) and mean [SE] cardiometabolic biomarkers were regressed on periodontal variables via multivariable robust variance Poisson regression or multivariable linear regression. RESULTS Prevalence of prediabetes was 12.5%. Fully adjusted prediabetes PR in Tertiles 3 versus 1 of mean i-CAL was 2.42 (1.77, 3.08). Fully adjusted fasting glucose estimates across i-CAL tertiles were 83.29 [0.43], 84.31 [0.37], 86.48 [0.46]; p for trend <.01. Greater percent of sites with i-PD ≥3 mm showed elevated natural-log-HOMA-IR after adjustment (0%-12% of sites = 0.33 [0.03], 13%-26% of sites = 0.39 [0.03], ≥27% of sites = 0.42 [0.03]; p for trend = .04). CONCLUSIONS i-CAL (vs. fm-CAL) was associated with elevated fasting glucose and prediabetes, whereas i-PD (vs. fm-PD) was associated with insulin resistance. Future studies are needed to examine periodontal disease and incident prediabetes.
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Affiliation(s)
- Hamdi S. Adam
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca Molinsky
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Bruno Bohn
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Department of Epidemiology, School of Public Health, University of Colorado, Aurora, CO, USA
| | - Sumith Roy
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Michael Rosenbaum
- Division of Molecular Genetics, Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | | | - Melana Yuzefpolskaya
- Division of Cardiology, Department of Medicine, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Paolo C. Colombo
- Division of Cardiology, Department of Medicine, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Panos N. Papapanou
- Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, Columbia University, New York, NY, USA
| | - Moïse Desvarieux
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - David R. Jacobs
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ryan T. Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Epidemiology, Department of Quantitative Health Sciences, College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
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4
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Choi B, Liu GY, Sheng Q, Amancherla K, Perry A, Huang X, San José Estépar R, Ash SY, Guan W, Jacobs DR, Martinez FJ, Rosas IO, Bowler RP, Kropski JA, Banovich NE, Khan SS, San José Estépar R, Shah R, Thyagarajan B, Kalhan R, Washko GR. Proteomic Biomarkers of Quantitative Interstitial Abnormalities in COPDGene and CARDIA Lung Study. Am J Respir Crit Care Med 2024; 209:1091-1100. [PMID: 38285918 DOI: 10.1164/rccm.202307-1129oc] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 01/29/2024] [Indexed: 01/31/2024] Open
Abstract
Rationale: Quantitative interstitial abnormalities (QIAs) are early measures of lung injury automatically detected on chest computed tomography scans. QIAs are associated with impaired respiratory health and share features with advanced lung diseases, but their biological underpinnings are not well understood. Objectives: To identify novel protein biomarkers of QIAs using high-throughput plasma proteomic panels within two multicenter cohorts. Methods: We measured the plasma proteomics of 4,383 participants in an older, ever-smoker cohort (COPDGene [Genetic Epidemiology of Chronic Obstructive Pulmonary Disease]) and 2,925 participants in a younger population cohort (CARDIA [Coronary Artery Disease Risk in Young Adults]) using the SomaLogic SomaScan assays. We measured QIAs using a local density histogram method. We assessed the associations between proteomic biomarker concentrations and QIAs using multivariable linear regression models adjusted for age, sex, body mass index, smoking status, and study center (Benjamini-Hochberg false discovery rate-corrected P ⩽ 0.05). Measurements and Main Results: In total, 852 proteins were significantly associated with QIAs in COPDGene and 185 in CARDIA. Of the 144 proteins that overlapped between COPDGene and CARDIA, all but one shared directionalities and magnitudes. These proteins were enriched for 49 Gene Ontology pathways, including biological processes in inflammatory response, cell adhesion, immune response, ERK1/2 regulation, and signaling; cellular components in extracellular regions; and molecular functions including calcium ion and heparin binding. Conclusions: We identified the proteomic biomarkers of QIAs in an older, smoking population with a higher prevalence of pulmonary disease and in a younger, healthier community cohort. These proteomics features may be markers of early precursors of advanced lung diseases.
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Affiliation(s)
- Bina Choi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine
- Applied Chest Imaging Laboratory, and
| | - Gabrielle Y Liu
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California Davis, Sacramento, California
| | | | | | | | - Xiaoning Huang
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Ruben San José Estépar
- Applied Chest Imaging Laboratory, and
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Samuel Y Ash
- Department of Critical Care, South Shore Hospital, South Weymouth, Massachusetts
| | | | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, and
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Ivan O Rosas
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Russell P Bowler
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Jonathan A Kropski
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Sadiya S Khan
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Raúl San José Estépar
- Applied Chest Imaging Laboratory, and
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine and
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine
- Applied Chest Imaging Laboratory, and
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5
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Murthy VL, Mosley JD, Perry AS, Jacobs DR, Tanriverdi K, Zhao S, Sawicki KT, Carnethon M, Wilkins JT, Nayor M, Das S, Abel ED, Freedman JE, Clish CB, Shah RV. Metabolic liability for weight gain in early adulthood. Cell Rep Med 2024:101548. [PMID: 38703763 DOI: 10.1016/j.xcrm.2024.101548] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/27/2023] [Accepted: 04/10/2024] [Indexed: 05/06/2024]
Abstract
While weight gain is associated with a host of chronic illnesses, efforts in obesity have relied on single "snapshots" of body mass index (BMI) to guide genetic and molecular discovery. Here, we study >2,000 young adults with metabolomics and proteomics to identify a metabolic liability to weight gain in early adulthood. Using longitudinal regression and penalized regression, we identify a metabolic signature for weight liability, associated with a 2.6% (2.0%-3.2%, p = 7.5 × 10-19) gain in BMI over ≈20 years per SD higher score, after comprehensive adjustment. Identified molecules specified mechanisms of weight gain, including hunger and appetite regulation, energy expenditure, gut microbial metabolism, and host interaction with external exposure. Integration of longitudinal and concurrent measures in regression with Mendelian randomization highlights the complexity of metabolic regulation of weight gain, suggesting caution in interpretation of epidemiologic or genetic effect estimates traditionally used in metabolic research.
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Affiliation(s)
- Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.
| | - Jonathan D Mosley
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Andrew S Perry
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kahraman Tanriverdi
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Shilin Zhao
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | | | | | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Saumya Das
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - E Dale Abel
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jane E Freedman
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Clary B Clish
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
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Goh CE, Bohn B, Genkinger JM, Molinsky R, Roy S, Paster BJ, Chen CY, Yuzefpolskaya M, Colombo PC, Rosenbaum M, Knight R, Desvarieux M, Papapanou PN, Jacobs DR, Demmer RT. Dietary nitrate intake and net nitrite-generating capacity of the oral microbiome interact to enhance cardiometabolic health: Results from the Oral Infections Glucose Intolerance and Insulin Resistance Study (ORIGINS). medRxiv 2024:2024.04.10.24305636. [PMID: 38645157 PMCID: PMC11030477 DOI: 10.1101/2024.04.10.24305636] [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] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Background We investigated the association between dietary nitrate intake and early clinical cardiometabolic risk biomarkers, and explored whether the oral microbiome modifies the association between dietary nitrate intake and cardiometabolic biomarkers. Methods Cross-sectional data from 668 (mean [SD] age 31 [9] years, 73% women) participants was analyzed. Dietary nitrate intakes and alternative healthy eating index (AHEI) scores were calculated from food frequency questionnaire responses and a validated US food database. Subgingival 16S rRNA microbial genes (Illumina, MiSeq) were sequenced, and PICRUSt2 estimated metagenomic content. The Microbiome Induced Nitric oxide Enrichment Score (MINES) was calculated as a microbial gene abundance ratio representing enhanced net capacity for NO generation. Cardiometabolic risk biomarkers included systolic and diastolic blood pressure, HbA1c, glucose, insulin, and insulin resistance (HOMA-IR), and were regressed on nitrate intake tertiles in adjusted multivariable linear models. Results Mean nitrate intake was 190[171] mg/day. Higher nitrate intake was associated with lower insulin, and HOMA-IR but particularly among participants with low abundance of oral nitrite enriching bacteria. For example, among participants with a low MINES, mean insulin[95%CI] levels in high vs. low dietary nitrate consumers were 5.8[5.3,6.5] vs. 6.8[6.2,7.5] (p=0.004) while respective insulin levels were 6.0[5.4,6.6] vs. 5.9[5.3,6.5] (p=0.76) among partcipants with high MINES (interaction p=0.02). Conclusion Higher dietary nitrate intake was only associated with lower insulin and insulin resistance among individuals with reduced capacity for oral microbe-induced nitrite enrichment. These findings have implications for future precision medicine-oriented approaches that might consider assessing the oral microbiome prior to enrollment into dietary interventions or making dietary recommendations.
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Affiliation(s)
- Charlene E Goh
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Bruno Bohn
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Rebecca Molinsky
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Sumith Roy
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Bruce J Paster
- The Forsyth Institute, Cambridge, MA, USA
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA, USA
| | - Ching-Yuan Chen
- Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, College of Dental Medicine, Columbia University, New York, NY, USA
| | - Melana Yuzefpolskaya
- Division of Cardiology, Department of Medicine, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Paolo C Colombo
- Division of Cardiology, Department of Medicine, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Michael Rosenbaum
- Division of Molecular Genetics, Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Rob Knight
- Department of Computer Science & Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Moïse Desvarieux
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- INSERM UMR 1153, Centre de Recherche Epidemiologie et Statistique Paris Sorbonne Cité (CRESS), METHODS Core, Paris, France
| | - Panos N Papapanou
- Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, College of Dental Medicine, Columbia University, New York, NY, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Ryan T Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, College of Medicine and Science
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7
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Wu F, Jacobs DR, Daniels SR, Kähönen M, Woo JG, Sinaiko AR, Viikari JSA, Bazzano LA, Steinberger J, Urbina EM, Venn AJ, Raitakari OT, Dwyer T, Juonala M, Magnussen CG. Non-High-Density Lipoprotein Cholesterol Levels From Childhood to Adulthood and Cardiovascular Disease Events. JAMA 2024:2817700. [PMID: 38607340 DOI: 10.1001/jama.2024.4819] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Importance Elevated non-high-density lipoprotein cholesterol (non-HDL-C; a recommended measure of lipid-related cardiovascular risk) is common in children and increases risk of adult cardiovascular disease (CVD). Whether resolution of elevated childhood non-HDL-C levels by adulthood is associated with reduced risk of clinical CVD events is unknown. Objective To examine the associations of non-HDL-C status between childhood and adulthood with incident CVD events. Design, Setting, and Participants Individual participant data from 6 prospective cohorts of children (mean age at baseline, 10.7 years) in the US and Finland. Recruitment took place between 1970 and 1996, with a final follow-up in 2019. Exposures Child (age 3-19 years) and adult (age 20-40 years) non-HDL-C age- and sex-specific z scores and categories according to clinical guideline-recommended cutoffs for dyslipidemia. Main Outcomes and Measures Incident fatal and nonfatal CVD events adjudicated by medical records. Results Over a mean length of follow-up of 8.9 years after age 40 years, 147 CVD events occurred among 5121 participants (60% women; 15% Black). Both childhood and adult non-HDL-C levels were associated with increased risk of CVD events (hazard ratio [HR], 1.42 [95% CI, 1.18-1.70] and HR, 1.50 [95% CI, 1.26-1.78] for a 1-unit increase in z score, respectively), but the association for childhood non-HDL-C was reduced when adjusted for adult levels (HR, 1.12 [95% CI, 0.89-1.41]). A complementary analysis showed that both childhood non-HDL-C levels and the change between childhood and adulthood were independently associated with the outcome, suggesting that from a preventive perspective, both childhood non-HDL-C levels and the change into adulthood are informative. Compared with those whose non-HDL-C levels remained within the guideline-recommended range in childhood and adulthood, participants who had incident non-HDL-C dyslipidemia from childhood to adulthood and those with persistent dyslipidemia had increased risks of CVD events (HR, 2.17 [95% CI, 1.00-4.69] and HR, 5.17 [95% CI, 2.80-9.56], respectively). Individuals who had dyslipidemic non-HDL-C in childhood but whose non-HDL-C levels were within the guideline-recommended range in adulthood did not have a significantly increased risk (HR, 1.13 [95% CI, 0.50-2.56]). Conclusions and Relevance Individuals with persistent non-HDL-C dyslipidemia from childhood to adulthood had an increased risk of CVD events, but those in whom dyslipidemic non-HDL-C levels resolve by adulthood have similar risk to individuals who were never dyslipidemic. These findings suggest that interventions to prevent and reduce elevated childhood non-HDL-C levels may help prevent premature CVD.
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Affiliation(s)
- Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis
| | - Elaine M Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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Mathew M, Pope ZC, Schreiner PJ, Jacobs DR, VanWagner LB, Terry JG, Pereira MA. Non-alcoholic fatty liver modifies associations of body mass index and waist circumference with cardiometabolic risk: The CARDIA study. Obes Sci Pract 2024; 10:e751. [PMID: 38655127 PMCID: PMC11036547 DOI: 10.1002/osp4.751] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is recognized as a prevalent determinant of cardiometabolic diseases. The association between NAFLD and obesity warrants further research on how NAFLD modifies associations between body mass index (BMI) and Waist circumference (WC) with cardiometabolic risk (CMR). Objective This study assessed whether NAFLD modifies associations between BMI and WC with 5-year changes in CMR in 2366 CARDIA study participants. Methods Non-contrast CT was used to quantify liver attenuation, with ≤51 Hounsfield Units (HU) used to define NAFLD in the absence of secondary causes of excess liver fat. The dependent variable was the average Z score of fasting glucose, insulin, triglycerides [log], (-) high-density lipoprotein cholesterol (HDL-C), and systolic blood pressure(SBP). Multivariable linear regression was used to estimate the associations between BMI and WC with CMR. Effect modification by NAFLD was assessed by an interaction term between NAFLD and BMI or WC. Results The final sample had 539 (23%) NAFLD cases. NAFLD modified the association of BMI and WC with CMR (interaction p < 0.0001 for both). BMI and WC were associated with CMR in participants without NAFLD (p < 0.001), but not among those with NAFLD. Participants with NAFLD and normal BMI and WC had CMR estimates that were higher than those without NAFLD in the obese categories. Among those without NAFLD the 5 years CMR change estimate was 0.09 (95% CI: 0.062, 0.125) for BMI ≥30 kg/m2 compared to -0.06 (-0.092, -0.018) for BMI < 25 kg/m2, and among those with NAFLD, these estimates were 0.15 (0.108, 0.193) and 0.16 (-0.035, 0.363). Conclusions NAFLD modifies associations of BMI and WC with CMR. Compared with BMI and WC, NAFLD was more strongly associated with CMR. In the presence of NAFLD, BMI and WC were not associated with CMR. These findings have implications for clinical screening guidelines.
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Affiliation(s)
- Mahesh Mathew
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Zachary C. Pope
- Mayo Clinic and Delos Well Living LabRochesterMinnesotaUSA
- Department of Physiology and Biomedical EngineeringWell Living Lab & Mayo ClinicRochesterMinnesotaUSA
- Department of Health Promotion SciencesHudson College of Public HealthUniversity of Oklahoma Health Sciences & TSET Health Promotion Research CenterStephenson Cancer CenterUniversity of Oklahoma Health SciencesOklahoma CityOklahomaUSA
| | - Pamela J. Schreiner
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - David R. Jacobs
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Lisa B. VanWagner
- Division of Digestive and Liver DiseasesUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - James G. Terry
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Mark A. Pereira
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
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Jackson MK, Choi Y, Eisenberg E, Hanson C, Wang A, Wang JG, Washko GR, Ash S, Estepar RSJ, Liu G, Shikany JM, Steffen LM, Wharton R, Kalhan R, Jacobs DR, Bose S. A Plant-Centered Diet is Inversely Associated With Radiographic Emphysema: Findings from the CARDIA Lung Study. Chronic Obstr Pulm Dis 2024; 11:164-173. [PMID: 37931598 DOI: 10.15326/jcopdf.2023.0437] [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] [Indexed: 11/08/2023]
Abstract
Background Chronic obstructive pulmonary disease (COPD) is a significant public health concern and intercepting the development of emphysema is vital for COPD prevention. Smokers are a high-risk population for emphysema with limited prevention strategies. We aimed to determine if adherence to a nutritionally rich, plant-centered diet among young ever-smokers is associated with reduced risk of future radiographic emphysema. Methods We studied participants from the Coronary Artery Risk Development in Young Adults (CARDIA) Lung Prospective Cohort Study who were 18-30 years old at enrollment and followed for 30 years. We analyzed 1706 adults who reported current or former smoking by year 20. Repeated measures of diet history were used to calculate A Priori Diet Quality Scores (APDQSs), and categorized into quintiles, with higher quintiles representing higher nutritionally rich plant-centered food intake. Emphysema was assessed at year 25 (n=1351) by computed tomography (CT). Critical covariates were selected, acknowledging potential residual confounding. Results Emphysema was observed in 13.0% of the cohort, with a mean age of 50.4 ± 3.5 years. The prevalence of emphysema was 4.5% in the highest APDQS quintile (nutritionally rich), compared with 25.4% in the lowest quintile. After adjustment for multiple covariates, including smoking, greater adherence to a plant-centered diet was inversely associated with emphysema (highest versus lowest quintile odds ratio: 0.44, 95% CI 0.19-0.99, ptrend=0.008). Conclusion Longitudinal adherence to a nutritionally rich, plant-centered diet was associated with a decreased risk of emphysema development in middle adulthood, warranting further examination of diet as a strategy for emphysema prevention in a high-risk smoking population.
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Affiliation(s)
- Mariah K Jackson
- Division of Medical Nutrition Education, University of Nebraska Medical Center, Omaha, Nebraska, United States
| | - Yuni Choi
- Division of Epidemiology and Community Health, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States
| | - Elliot Eisenberg
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Corrine Hanson
- Division of Medical Nutrition Education, University of Nebraska Medical Center, Omaha, Nebraska, United States
| | - Ann Wang
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Jing Gennie Wang
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Samuel Ash
- Critical Care, South Shore Hospital, Weymouth, Massachusetts, United States
| | - Raul San Jose Estepar
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Gabrielle Liu
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
| | - James M Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States
| | - Robert Wharton
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States
| | - Sonali Bose
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States
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10
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Wharton RC, Wang JG, Choi Y, Eisenberg E, Jackson MK, Hanson C, Liu B, Washko GR, Kalhan R, Jacobs DR, Bose S. Associations of a plant-centered diet and lung function across early to mid-adulthood: The CARDIA Lung Study. Respir Res 2024; 25:122. [PMID: 38468283 PMCID: PMC10926674 DOI: 10.1186/s12931-023-02632-x] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 12/07/2023] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Lung function throughout adulthood predicts morbidity and mortality even among adults without chronic respiratory disease. Diet quality may represent a modifiable risk factor for lung function impairment later in life. We investigated associations between nutritionally-rich plant-centered diet and lung function across early and middle adulthood from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. METHODS Diet was assessed at baseline and years 7 and 20 of follow-up using the validated CARDIA diet history questionnaire. Plant-centered diet quality was scored using the validated A Priori Diet Quality Score (APDQS), which weights food groups to measure adherence to a nutritionally-rich plant-centered diet for 20 beneficially rated foods and 13 adversely rated foods. Scores were cumulatively averaged over follow-up and categorized into quintiles. The primary outcome was lung function decline, including forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC), measured at years 0, 2, 5, 10, 20, and 30. We estimated the association of APDQS with annual pulmonary function changes and cross-sectional differences in a repeated measures regression model, adjusting for clinically relevant covariates. RESULTS The study included 3,787 Black and White men and women aged 18-30 in 1985-86 and followed for 30 years. In multivariable repeated measures regression models, individuals in the lowest APDQS quintile (poorest diet) had declines in FEV1 that were 1.6 ml/year greater than individuals in the highest quintile (35.0 vs. 33.4 ml/year, ß ± SE per 1 SD change APDQS 0.94 ± 0.36, p = 0.009). Additionally, declines in FVC were 2.4 ml/year greater in the lowest APDQS quintile than those in the highest quintile (37.0 vs 34.6 ml/year, ß ± SE per 1 SD change APDQS 1.71 ± 0.46, p < 0.001). The association was not different between never and ever smokers (pint = 0.07 for FVC and 0.32 for FEV1). In sensitivity analyses where current asthma diagnosis and cardiorespiratory fitness were further adjusted, results remained similar. Cross-sectional analysis at each exam year also showed significant differences in lung function according to diet after covariate adjustment. CONCLUSIONS In this 30-year longitudinal cohort study, long-term adherence to a nutritionally-rich plant-centered diet was associated with cross-sectional differences in lung function as well as slower decline in lung function, highlighting diet quality as a potential treatable trait supporting long-term lung health.
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Affiliation(s)
- Robert C Wharton
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - Jing Gennie Wang
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Yuni Choi
- Division of Epidemiology and Community Health, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Elliot Eisenberg
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Mariah K Jackson
- Division of Medical Nutrition Education, University of Nebraska Medical Center, Omaha, NE, USA
| | - Corrine Hanson
- Division of Medical Nutrition Education, University of Nebraska Medical Center, Omaha, NE, USA
| | - Bian Liu
- Department of Population Health Science and Policy, Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David R Jacobs
- Division of Medical Nutrition Education, University of Nebraska Medical Center, Omaha, NE, USA
| | - Sonali Bose
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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11
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Cha E, Choi Y, Bancks M, Faulkner MS, Dunbar SB, Umpierrez GE, Reis J, Carnethon MR, Shikany JM, Yan F, Jacobs DR. Longitudinal changes in diet quality and food intake before and after diabetes awareness in American adults: the Coronary Artery Risk Development in Young Adults (CARDIA) study. BMJ Open Diabetes Res Care 2024; 12:e003800. [PMID: 38453235 PMCID: PMC10921527 DOI: 10.1136/bmjdrc-2023-003800] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 12/15/2023] [Indexed: 03/09/2024] Open
Abstract
INTRODUCTION Limited longitudinal research is available examining how American adults make dietary changes after learning they have diabetes. We examined the associations between diabetes awareness and changes in dietary quality and food intake in a prospective cohort from the Coronary Artery Risk Development in Young Adults (CARDIA) study. RESEARCH DESIGN AND METHODS A nested case-control design was used. In the original CARDIA study, black and white participants were recruited from four US urban areas and partitioned into one control group (no diabetes over 30-year follow-up) and three case groups (early-onset, intermediate-onset, later-onset diabetes groups) based on timing of diagnosis and first awareness of diabetes. Estimated mean A Priori Diet Quality Score (APDQS), and food subgroup intake were examined at three CARDIA examinations (year (Y)0, Y7, and Y20). The mean APDQS with 95% CIs and food intake (servings/day) were compared across the one control group and three case groups using exam-specific and repeated measures linear regression. RESULTS Among 4576 participants (mean age: 25±4 years; 55% female; 49% black race), 653 incident cases (14.3%) of diabetes were observed over 30 years. APDQS was lowest at Y0 when the diabetes-free participants were aged 18-30 years (61.5-62.8), but increased over 20 years with advancing age across all groups (64.6-73.3). Lower APDQS in young adulthood was associated with a higher incidence of diabetes later in life. Diabetes awareness was associated with a net increase of 2.95 points in APDQS. The greatest increase of APDQS was when people learned of their diabetes for the first time (an increase of 5.71 in early-onset and 6.64 in intermediate-onset diabetes groups, respectively). CONCLUSIONS Advancing age and diabetes awareness were associated with more favorable dietary changes leading to improved diet quality. Optimal diet quality and healthy food intake in young adulthood seem important to prevent diabetes later in life.
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Affiliation(s)
- EunSeok Cha
- College of Nursing, Chungnam National University, Daejeon, The Republic of Korea
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | - Yuni Choi
- Columbia University Irving Medical Center, New York, New York, USA
| | - Michael Bancks
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Sandra B Dunbar
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | | | - Jared Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University, Evanston, Illinois, USA
| | - James M Shikany
- The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, USA
| | - Fengxia Yan
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - David R Jacobs
- School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
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Quinn TD, Lane A, Pettee Gabriel K, Sternfeld B, Jacobs DR, Smith P, Barone Gibbs B. Associations between occupational physical activity and left ventricular structure and function over 25 years in CARDIA. Eur J Prev Cardiol 2024; 31:425-433. [PMID: 37950421 PMCID: PMC10911945 DOI: 10.1093/eurjpc/zwad349] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/23/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023]
Abstract
AIMS Leisure time physical activity (LTPA) confers cardiovascular health benefits, while occupational physical activity (OPA) may have paradoxically negative health associations. This study tested the explanatory hypothesis that unfavourable cardiac remodelling may result from chronic OPA-induced cardiovascular strain. METHODS AND RESULTS Longitudinal associations of OPA and left ventricular (LV) structure and function were examined in 1462 participants {50.0% female, 56.4% White, aged 30.4 ± 3.4 years at baseline [Year 5 exam (1990-91)]} from the Coronary Artery Risk Development in Young Adults study. Left ventricular structure and function were measured as LV mass (LVMi), end-diastolic volume (LVEDVi), end-systolic volume (LVESVi), ejection fraction (LVEF), stroke volume (LVSVi), and e/a-wave ratio (EA ratio) via echocardiography at baseline and 25 years later. Occupational physical activity was reported at seven exams during the study period as months/year with 'vigorous job activities such as lifting, carrying, or digging' for ≥5 h/week. The 25-year OPA patterns were categorized into three trajectories: no OPA (n = 770), medium OPA (n = 410), and high OPA (n = 282). Linear regression estimated associations between OPA trajectories and echocardiogram variables at follow-up after adjusting for baseline values, individual demographic/health characteristics, and LTPA. Twenty-five-year OPA exposure was not significantly associated with LVMi, LVEDVi, LVSVi, or EA ratio (P > 0.05). However, higher LVESVi (β = 1.84, P < 0.05) and lower LVEF (β = -1.94, P < 0.05) were observed at follow-up among those in the high- vs. no-OPA trajectories. CONCLUSION The paradoxically adverse association of OPA with cardiovascular health was partially supported by null or adverse associations between high OPA and echocardiogram outcomes. Confirmation is needed using more precise OPA measures.
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Affiliation(s)
- Tyler D Quinn
- Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, 1 Medical Drive, Morgantown, WV 26506, USA
| | - Abbi Lane
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29201, USA
- Department of Applied Exercise Science, School of Kinesiology, University of Michigan, 830 N University Ave, Ann Arbor, MI 48130, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, 170 2nd Ave. South, RPHB 230J, Birmingham, AL 35294, USA
| | - Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94611, USA
| | - David R Jacobs
- Mayo Professor of Public Health, Division of Epidemiology and Community Health, University of Minnesota, 1300 2nd Streetm Suite 300, Minneapolis, MN 55454, USA
| | - Peter Smith
- Institute for Work and Health, 400 University Avenue, Suite 1800, Toronto, ON, M5G 1S5, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada
- Department of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Bethany Barone Gibbs
- Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, 1 Medical Drive, Morgantown, WV 26506, USA
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Gao T, Zheng Y, Joyce BT, Kho M, Terry JG, Wang J, Nannini D, Carr JJ, Nair S, Zhang K, Zhao W, Jacobs DR, Schreiner PJ, Greenland P, Lloyd-Jones D, Smith JA, Hou L. Epigenetic Aging Is Associated With Measures of Midlife Muscle Volume and Attenuation in CARDIA Study. J Gerontol A Biol Sci Med Sci 2024; 79:glad261. [PMID: 37956337 PMCID: PMC10876078 DOI: 10.1093/gerona/glad261] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND GrimAge acceleration (GAA), an epigenetic marker that represents physiologic aging, is associated with age-related diseases including cancer and cardiovascular diseases. However, the associations between GAA and muscle mass and function are unknown. METHODS We estimated measures of GAA in 1 118 Black and White participants from the Coronary Artery Risk Development in Young Adults (CARDIA) Study at exam years (Y) 15 (2000-2001) and 20 (2005-2006). Abdominal muscle composition was measured using CT scans at the Y25 (2010-2011) visit. We used multivariate regression models to examine associations of GAA estimates with muscle imaging measurements. RESULTS In the CARDIA study, each 1-year higher GAA was associated with an average 1.1% (95% confidence interval [CI]: 0.6%, 1.5%) higher intermuscular adipose tissue (IMAT) volume for abdominal muscles. Each 1-year higher GAA was associated with an average -0.089 Hounsfield unit (HU; 95% CI: -0.146, -0.032) lower lean muscle attenuation and an average -0.049 HU (95% CI: -0.092, -0.007) lower IMAT attenuation for abdominal muscles. Stratified analyses showed that GAA was more strongly associated with higher abdominal muscle IMAT volume in females and significantly associated with lower lean muscle attenuation for White participants only. CONCLUSIONS Higher GAA is associated with higher abdominal muscle IMAT volume and lower lean muscle attenuation in a midlife population.
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Affiliation(s)
- Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - James G Terry
- Department of Radiology, Vanderbilt University Medicine Center, Nashville, Tennessee, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Drew Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University Medicine Center, Nashville, Tennessee, USA
| | - Sangeeta Nair
- Department of Radiology, Vanderbilt University Medicine Center, Nashville, Tennessee, USA
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, New York, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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14
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Bottinor W, Im C, Doody DR, Armenian SH, Arynchyn A, Hong B, Howell RM, Jacobs DR, Ness KK, Oeffinger KC, Reiner AP, Armstrong GT, Yasui Y, Chow EJ. Mortality After Major Cardiovascular Events in Survivors of Childhood Cancer. J Am Coll Cardiol 2024; 83:827-838. [PMID: 38383098 DOI: 10.1016/j.jacc.2023.12.022] [Citation(s) in RCA: 1] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Adult survivors of childhood cancer are at risk for cardiovascular events. OBJECTIVES In this study, we sought to determine the risk for mortality after a major cardiovascular event among childhood cancer survivors compared with noncancer populations. METHODS All-cause and cardiovascular cause-specific mortality risks after heart failure (HF), coronary artery disease (CAD), or stroke were compared among survivors and siblings in the Childhood Cancer Survivor Study (CCSS) and participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Cox proportional hazard regression models were used to estimate HRs and 95% CIs between groups, adjusted for demographic and clinical factors. RESULTS Among 25,658 childhood cancer survivors (median age at diagnosis 7 years, median age at follow-up or death 38 years) and 5,051 siblings, 1,780 survivors and 91 siblings had a cardiovascular event. After HF, CAD, and stroke, 10-year all-cause mortalities were 30% (95% CI: 26%-33%), 36% (95% CI: 31%-40%), and 29% (95% CI: 24%-33%), respectively, among survivors vs 14% (95% CI: 0%-25%), 14% (95% CI: 2%-25%), and 4% (95% CI: 0%-11%) among siblings. All-cause mortality risks among childhood cancer survivors were increased after HF (HR: 7.32; 95% CI: 2.56-20.89), CAD (HR: 5.54; 95% CI: 2.37-12.93), and stroke (HR: 3.57; 95% CI: 1.12-11.37). CAD-specific mortality risk was increased (HR: 3.70; 95% CI: 1.05-13.02). Among 5,114 CARDIA participants, 345 had a major event. Although CARDIA participants were on average decades older at events (median age 57 years vs 31 years), mortality risks were similar, except that all-cause mortality after CAD was significantly increased among childhood cancer survivors (HR: 1.85; 95% CI: 1.16-2.95). CONCLUSIONS Survivors of childhood cancer represent a population at high risk for mortality after major cardiovascular events.
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Affiliation(s)
- Wendy Bottinor
- Virginia Commonwealth University, Richmond, Virginia, USA.
| | - Cindy Im
- University of Minnesota, Minneapolis, Minnesota, USA
| | - David R Doody
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | | | - Borah Hong
- Seattle Children's Hospital, Seattle, Washington, USA
| | | | | | - Kirsten K Ness
- St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | | | | | | | - Yutaka Yasui
- St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Eric J Chow
- Fred Hutchinson Cancer Center, Seattle, Washington, USA; Seattle Children's Hospital, Seattle, Washington, USA; University of Washington, Seattle, Washington, USA
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15
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Isanejad M, Steffen LM, Terry JG, Shikany JM, Zhou X, So-YunYi, Jacobs DR, Carr JJ, Steffen BT. Diet quality is associated with adipose tissue and muscle mass: the Coronary Artery Risk Development in Young Adults (CARDIA) study. J Cachexia Sarcopenia Muscle 2024; 15:425-433. [PMID: 38086784 PMCID: PMC10834311 DOI: 10.1002/jcsm.13399] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 10/16/2023] [Accepted: 11/06/2023] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Aging is associated with changes in body composition, and preventing loss of muscle mass and accumulation of excess adipose tissue in middle-aged adults may reduce age-related conditions at older ages. Dietary intake is one lifestyle factor shown to improve or maintain body composition. However, few studies have examined the Healthy Eating Index2015 (HEI2015), a measure of diet quality, and the association with body composition in adult men and women. METHODS Participant data (n = 3017) from the Coronary Artery Risk Development in Young Adults (CARDIA) study were used to examine the associations of the HEI2015 with body composition measures at Year 25 (Y25), including (1) 25 year-change in weight, body mass index (BMI), and waist circumference and (2) a computed tomography (CT) scan at Y25 measured muscle mass, muscle quality (better quality = less lipid within the muscle), and adipose tissue depots visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and adipose within skeletal muscle (intermuscular adipose tissue; IMAT). Dietary intake was assessed by a diet history three times over 20 years, at years 0, 7, and 20. HEI2015, averaged over three exams, was created and categorized into quintiles. Multiple regression analysis evaluated the associations of body composition stratified across quintiles of HEI2015 adjusted for demographic characteristics, energy intake, lifestyle factors, and baseline anthropometric measures as appropriate. Race-sex interaction was tested (Pinteraction > 0.30). RESULTS Over 25 years of follow-up, averaged HEI2015 was significantly and inversely associated with weight gain (Quintile 1 (Q1) 37.3 lb vs. 32.9 in Q5; Ptrend = 0.01), change in BMI (Q1 5.8 kg/m2 vs. 5.0 in Q5; Ptrend = 0.005), and change in waist circumference (Q1 17.5 cm vs. 15.2 cm in Q5; Ptrend < 0.001). By Y25, HEI2015 was inversely associated with VAT Q1 136.8 cm3 vs. 116.6 in Q5; Ptrend < 0.001) and IMAT volumes (Q1 9.52 vs. 8.12 cm3 in Q5; Ptrend < 0.001). Although total muscle volume declined (Ptrend = 0.03), lean muscle mass volume was similar across quintiles (Ptrend = 0.55). The IMAT/total muscle mass ratio declined across HEI2015 quintiles (Ptrend < 0.001). Finally, higher HEI2015 was associated with better muscle quality at Y25 (higher value = less lipid within the muscle; Q1 41.1 vs. 42.2 HU in Q5; Ptrend = 0.002). HEI2015 was nonlinearly, but inversely, associated with SAT (nonlinear P = 0.011). CONCLUSIONS Improving diet quality in young to middle-aged adults is a recommended strategy to promote better measures of body composition. Our study findings suggest that healthier food choices may influence body composition.
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Affiliation(s)
- Masoud Isanejad
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - James G Terry
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James M Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Xia Zhou
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - So-YunYi
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Brian T Steffen
- Division of Computational Health Science, Department of Surgery, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
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16
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Endy EJ, Yi SY, Steffen BT, Shikany JM, Jacobs DR, Goins RK, Steffen LM. Added sugar intake is associated with weight gain and risk of developing obesity over 30 years: The CARDIA study. Nutr Metab Cardiovasc Dis 2024; 34:466-474. [PMID: 38195258 DOI: 10.1016/j.numecd.2023.10.022] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/20/2023] [Accepted: 10/20/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND AIMS Numerous prospective studies have examined sugar sweetened beverage (SSB) intake associated with weight gain or incident obesity. Because SSB accounts for only 33 % of added sugar (AS) intake, we investigated the associations of AS intake with change in weight and waist circumference and risk of developing obesity. METHODS AND RESULTS At baseline (1985-86) Black and White women and men, aged 18-30 years, enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study and were followed for 30 years (2015-16). A diet history assessed dietary intake 3 times over 20 years. Multivariable linear regression evaluated the associations of change in weight (n = 3306) and waist circumference (n = 3296) across quartiles of AS, adjusting for demographics, lifestyle factors, and anthropometrics. Proportional hazards regression analysis evaluated the associations of time-varying cumulative AS intake with risk of incident obesity (n = 4023) and abdominal obesity (n = 3449), adjusting for the same factors. Over 30 years of follow-up, greater AS intake was associated with gaining 2.3 kg more weight (ptrend = 0.01) and 2.2 cm greater change in waist circumference (ptrend = 0.005) as well as increased risk of incident obesity (HR 1.28; 95 % CI: 1.08-1.53) and incident abdominal obesity (HR 1.27; 95 % CI:1.02-1.60). CONCLUSION Our findings are consistent with recommendations from the 2020-2025 U S. Dietary Guidelines for Americans to limit daily AS intake.
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Affiliation(s)
- Emily J Endy
- University of Minnesota College of Liberal Arts, Minneapolis, MN, USA
| | - So-Yun Yi
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN, USA
| | - Brian T Steffen
- University of Minnesota School of Medicine, Department of Surgery, Minneapolis, MN, USA
| | - James M Shikany
- University of Alabama at Birmingham School of Medicine, Division of Preventive Medicine, Birmingham, AL, USA
| | - David R Jacobs
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN, USA
| | - Rae K Goins
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN, USA
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, Minneapolis, MN, USA.
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17
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Szaló G, Hellgren MI, Allison M, Li Y, Råstam L, Rådholm K, Bollano E, Duprez DA, Jacobs DR, Lindblad U, Daka B. Impaired artery elasticity predicts cardiovascular morbidity and mortality- A longitudinal study in the Vara-Skövde Cohort. J Hum Hypertens 2024; 38:140-145. [PMID: 37794130 PMCID: PMC10844075 DOI: 10.1038/s41371-023-00867-1] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 09/07/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
It is still debated whether arterial elasticity provides prognostic information for cardiovascular risk beyond blood pressure measurements in a healthy population. To investigate the association between arterial elasticity obtained by radial artery pulse wave analysis and risk for cardiovascular diseases (CVD) in men and women. In 2002-2005, 2362 individuals (men=1186, 50.2%) not taking antihypertensive medication were included. C2 (small artery elasticity) was measured using the HDI/Pulse Wave CR2000. Data on acute myocardial infarction or stroke, fatal or non-fatal, was obtained between 2002-2019. Cox- regression was used to investigate associations between C2 and future CVD, adjusting for confounding factors such as age, sex, systolic blood pressure, heart rate, HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), LDL- cholesterol, CRP (C-Reactive Protein), alcohol consumption, smoking and physical activity. At baseline, the mean age of 46 ± 10.6 years and over the follow-up period, we observed 108 events 70 events in men [event rate: 5.9%], 38 in women [event rate: 3.2%]. In the fully adjusted model, and for each quartile decrease in C2, there was a significant increase in the risk for incident CVD by 36%. (HR = 1.36, 95% CI: 1.01-1.82, p = 0.041). The results were accentuated for all men (HR = 1.74, 95% CI: 1.21-2.50, p = 0.003) and women over the age of 50 years (HR = 1.70, 95% CI: 0.69-4.20). We showed a strong and independent association between C2 and CVD in men. In women after menopause, similar tendencies and effect sizes were observed.
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Affiliation(s)
- Gábor Szaló
- Primary Health Care, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Margareta I Hellgren
- Primary Health Care, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- The Skaraborg Institute, Skövde, Sweden
| | - Matthew Allison
- Division of Preventive Medicine, Department of Family Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ying Li
- Biostatistics, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lennart Råstam
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Entela Bollano
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Daniel A Duprez
- Cardiovascular Division, Department 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
| | - Ulf Lindblad
- Primary Health Care, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bledar Daka
- Primary Health Care, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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18
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Sternfeld B, Jacobs DR. Reflections on four decades of physical activity epidemiology. J Sport Health Sci 2024:S2095-2546(24)00016-4. [PMID: 38296050 DOI: 10.1016/j.jshs.2024.01.009] [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] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 12/11/2023] [Accepted: 01/18/2024] [Indexed: 02/18/2024]
Affiliation(s)
- Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94610, USA.
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA
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19
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Wu F, Juonala M, Jacobs DR, Daniels SR, Kähönen M, Woo JG, Sinaiko AR, Viikari JSA, Bazzano LA, Burns TL, Steinberger J, Urbina EM, Venn AJ, Raitakari OT, Dwyer T, Magnussen CG. Childhood Non-HDL Cholesterol and LDL Cholesterol and Adult Atherosclerotic Cardiovascular Events. Circulation 2024; 149:217-226. [PMID: 38014550 DOI: 10.1161/circulationaha.123.064296] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Although low-density lipoprotein cholesterol (LDL-C) remains the primary cholesterol target in clinical practice in children and adults, non-high-density lipoprotein cholesterol (non-HDL-C) has been suggested as a more accurate measure of atherosclerotic cardiovascular disease (ASCVD) risk. We examined the associations of childhood non-HDL-C and LDL-C levels with adult ASCVD events and determined whether non-HDL-C has better utility than LDL-C in predicting adult ASCVD events. METHODS This prospective cohort study included 21 126 participants from the i3C Consortium (International Childhood Cardiovascular Cohorts). Proportional hazards regressions were used to estimate the risk for incident fatal and fatal/nonfatal ASCVD events associated with childhood non-HDL-C and LDL-C levels (age- and sex-specific z scores; concordant/discordant categories defined by guideline-recommended cutoffs), adjusted for sex, Black race, cohort, age at and calendar year of child measurement, body mass index, and systolic blood pressure. Predictive utility was determined by the C index. RESULTS After an average follow-up of 35 years, 153 fatal ASCVD events occurred in 21 126 participants (mean age at childhood visits, 11.9 years), and 352 fatal/nonfatal ASCVD events occurred in a subset of 11 296 participants who could be evaluated for this outcome. Childhood non-HDL-C and LDL-C levels were each associated with higher risk of fatal and fatal/nonfatal ASCVD events (hazard ratio ranged from 1.27 [95% CI, 1.14-1.41] to 1.35 [95% CI, 1.13-1.60] per unit increase in the risk factor z score). Non-HDL-C had better discriminative utility than LDL-C (difference in C index, 0.0054 [95% CI, 0.0006-0.0102] and 0.0038 [95% CI, 0.0008-0.0068] for fatal and fatal/nonfatal events, respectively). The discordant group with elevated non-HDL-C and normal LDL-C had a higher risk of ASCVD events compared with the concordant group with normal non-HDL-C and LDL-C (fatal events: hazard ratio, 1.90 [95% CI, 0.98-3.70]; fatal/nonfatal events: hazard ratio, 1.94 [95% CI, 1.23-3.06]). CONCLUSIONS Childhood non-HDL-C and LDL-C levels are associated with ASCVD events in midlife. Non-HDL-C is better than LDL-C in predicting adult ASCVD events, particularly among individuals who had normal LDL-C but elevated non-HDL-C. These findings suggest that both non-HDL-C and LDL-C are useful in identifying children at higher risk of ASCVD events, but non-HDL-C may provide added prognostic information when it is discordantly higher than the corresponding LDL-C and has the practical advantage of being determined without a fasting sample.
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Affiliation(s)
- Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- Baker Heart and Diabetes Institute, Melbourne, Australia (F.W., C.G.M.)
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Australia (F.W.)
| | - Markus Juonala
- Department of Medicine, University of Turku, Finland (M.J., J.S.J.V.)
- Division of Medicine, Turku University Hospital, Finland (M.J., J.S.J.V.)
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (D.R.J.)
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora (S.R.D.)
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Finland (M.K.)
- Department of Clinical Physiology, Tampere University Hospital, Finland (M.K.)
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, OH (J.G.W.)
| | - Alan R Sinaiko
- University of Minnesota Medical School, Minneapolis (A.R.S.)
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Finland (M.J., J.S.J.V.)
- Division of Medicine, Turku University Hospital, Finland (M.J., J.S.J.V.)
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B.)
| | - Trudy L Burns
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.)
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis (J.S.)
| | - Elaine M Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, OH (E.M.U.)
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland (O.T.R., C.G.M.)
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland (O.T.R., C.G.M.)
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland (O.T.R.)
- InFLAMES Research Flagship, University of Turku, Finland (O.T.R.)
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- The Nuffield Department of Women's & Reproductive Health, University of Oxford, UK (T.D.)
- Murdoch Children's Research Institute, Melbourne, Australia (T.D.)
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- Baker Heart and Diabetes Institute, Melbourne, Australia (F.W., C.G.M.)
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland (O.T.R., C.G.M.)
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland (O.T.R., C.G.M.)
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20
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Goins RK, Steffen LM, Yi SY, Zhou X, Van Horn L, Shikany JM, Terry JG, Jacobs DR. Consumption of foods and beverages rich in added sugar associated with incident metabolic syndrome: Coronary Artery Risk Development in Young Adults (CARDIA) study. Eur J Prev Cardiol 2024:zwad409. [PMID: 38170585 DOI: 10.1093/eurjpc/zwad409] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/19/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
AIMS Numerous studies report positive associations between total carbohydrate (CHO) intake and incident metabolic syndrome (MetS), but few differentiate quality or type of CHO relative to MetS. We examined source of CHO intake, including added sugar (AS), AS-rich CHO foods and sugar-sweetened beverages (SSBs) associated with incident MetS in adults enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study. METHODS Among 3154 Black American and White American women and men aged 18-30 years at baseline, dietary intake was assessed by diet history three times over 20 years. Sources of AS-rich CHO foods and beverages include sugar-rich refined grain products, candy, sugar products, and SSBs. Incident MetS was created according to standard criteria. Time-dependent Cox proportional-hazards regression analysis evaluated the associations of incident MetS across quintiles of cumulative intakes of AS-rich CHO foods and beverages, AS, and SSBs adjusted for potential confounding factors over 30 years of follow-up. RESULTS The associations of AS-rich CHO foods and beverages, AS, and SSB intakes with incident MetS were consistent. Compared to the lowest intake, the greatest intake of AS-rich CHOs, AS, and SSBs were associated with 59% (ptrend<0.001), 44% (ptrend=0.01), and 34% (ptrend=0.03) higher risk of developing MetS, respectively. As expected, diet quality was lower across increasing quintiles of AS-rich CHO foods and beverages, AS, and SSBs (all ptrend<0.001). CONCLUSION Our study findings are consistent with an elevated risk of developing MetS with greater consumption of AS, AS-rich CHO foods, and SSBs which support consuming fewer AS-rich CHO foods and SSBs.
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Affiliation(s)
- Rae K Goins
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health; Minneapolis, MN
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health; Minneapolis, MN
| | - So-Yun Yi
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health; Minneapolis, MN
| | - Xia Zhou
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health; Minneapolis, MN
| | - Linda Van Horn
- Northwestern University, Department of Preventive Medicine, Feinberg School of Medicine; Chicago, IL
| | - James M Shikany
- University of Alabama at Birmingham School of Medicine, Division of Preventive Medicine; Birmingham, AL
| | - James G Terry
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | - David R Jacobs
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health; Minneapolis, MN
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21
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Shea JW, Jacobs DR, Howard AG, Lulla A, Lloyd-Jones DM, Murthy VL, Shah RV, Trujillo-Gonzalez I, Gordon-Larsen P, Meyer KA. Choline metabolites and incident cardiovascular disease in a prospective cohort of adults: Coronary Artery Risk Development in Young Adults (CARDIA) Study. Am J Clin Nutr 2024; 119:29-38. [PMID: 37865185 PMCID: PMC10808833 DOI: 10.1016/j.ajcnut.2023.10.012] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/06/2023] [Accepted: 10/16/2023] [Indexed: 10/23/2023] Open
Abstract
BACKGROUND The potential role for choline metabolite trimethylamine N-oxide (TMAO) in cardiovascular disease (CVD) has garnered much attention, but there have been limited data from diverse population-based cohorts. Furthermore, few studies have included circulating choline and betaine, which can serve as precursors to TMAO and may independently influence CVD. OBJECTIVE We quantified prospective associations between 3 choline metabolites and 19-y incident CVD in a population-based cohort and tested effect modification of metabolite-CVD associations by kidney function. METHODS Data were from the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort with recruitment from 4 US urban centers (year 0: 1985-1986, n = 5115, ages 18-30). The analytic sample included 3444 White and Black males and females, aged 33 to 45, who attended the year 15 follow-up exam and did not have prevalent CVD. TMAO, choline, and betaine were quantitated from stored plasma (-70°C) using liquid-chromatography mass-spectrometry. Nineteen-year incident CVD events (n = 221), including coronary heart disease and stroke, were identified through adjudicated hospitalization records and linkage with the National Death Register. RESULTS Plasma choline was positively associated with CVD in Cox proportional hazards regression analysis adjusted for demographics, health behaviors, CVD risk factors, and metabolites (hazard ratio: 1.24; 95% CI: 1.09, 1.40 per standard deviation-unit choline). TMAO and betaine were not associated with CVD in an identically adjusted analysis. There was statistical evidence for effect modification by kidney function with CVD positively associated with TMAO and negatively associated with betaine at lower values of estimated glomerular filtration rate (interaction P values: 0.0046 and 0.020, respectively). CONCLUSIONS Our findings are consistent with a positive association between plasma choline and incident CVD. Among participants with lower kidney function, TMAO was positively, and betaine negatively, associated with CVD. These results further our understanding of the potential role for choline metabolism on CVD risk.
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Affiliation(s)
- Jonathan W Shea
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC, United States
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States
| | - Annie Green Howard
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina, Chapel Hill, NC, United States
| | - Anju Lulla
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC, United States
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Venkatesh L Murthy
- Department of Medicine and Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Ravi V Shah
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Isis Trujillo-Gonzalez
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC, United States; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States
| | - Penny Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, United States; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States
| | - Katie A Meyer
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC, United States; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States.
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Herrmann SD, Willis EA, Ainsworth BE, Barreira TV, Hastert M, Kracht CL, Schuna JM, Cai Z, Quan M, Tudor-Locke C, Whitt-Glover MC, Jacobs DR. 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities. J Sport Health Sci 2024; 13:6-12. [PMID: 38242596 PMCID: PMC10818145 DOI: 10.1016/j.jshs.2023.10.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/08/2023] [Accepted: 10/26/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND The Compendium of Physical Activities was published in 1993 to improve the comparability of energy expenditure values assigned to self-reported physical activity (PA) across studies. The original version was updated in 2000, and again in 2011, and has been widely used to support PA research, practice, and public health guidelines. METHODS This 2024 update was tailored for adults 19-59 years of age by removing data from those ≥60 years. Using a systematic review and supplementary searches, we identified new activities and their associated measured metabolic equivalent (MET) values (using indirect calorimetry) published since 2011. We replaced estimated METs with measured values when possible. RESULTS We screened 32,173 abstracts and 1507 full-text papers and extracted 2356 PA energy expenditure values from 701 papers. We added 303 new PAs and adjusted 176 existing MET values and descriptions to reflect the addition of new data and removal of METs for older adults. We added a Major Heading (Video Games). The 2024 Adult Compendium includes 1114 PAs (912 with measured and 202 with estimated values) across 22 Major Headings. CONCLUSION This comprehensive update and refinement led to the creation of The 2024 Adult Compendium, which has utility across research, public health, education, and healthcare domains, as well as in the development of consumer health technologies. The new website with the complete lists of PAs and supporting resources is available at https://pacompendium.com.
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Affiliation(s)
- Stephen D Herrmann
- Kansas Center for Metabolism and Obesity Research, University of Kansas Medical Center, Kansas City, KS 66160, USA; Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA.
| | - Erik A Willis
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Barbara E Ainsworth
- College of Health Solutions, Arizona State University, Phoenix, AZ 85003, USA; School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Tiago V Barreira
- Exercise Science Department, Syracuse University, Syracuse, NY 13244, USA
| | - Mary Hastert
- Kansas Center for Metabolism and Obesity Research, University of Kansas Medical Center, Kansas City, KS 66160, USA; Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Chelsea L Kracht
- Clinical Sciences Division, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - John M Schuna
- School of Exercise and Sport Science, Oregon State University, Corvallis, OR 97331, USA
| | - Zhenghui Cai
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Minghui Quan
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Catrine Tudor-Locke
- College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | | | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA
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23
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Ainsworth BE, Herrmann SD, Jacobs DR, Whitt-Glover MC, Tudor-Locke C. A brief history of the Compendium of Physical Activities. J Sport Health Sci 2024; 13:3-5. [PMID: 38242595 PMCID: PMC10818106 DOI: 10.1016/j.jshs.2023.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/15/2023] [Accepted: 09/26/2023] [Indexed: 01/21/2024]
Abstract
•The Compendium of Physical Activities was developed to improve consistency and comparability across epidemiological studies. •The Compendium of Physical Activities is a living document that has been updated 3 times since it was first published in 1993. •Over the past 30+ years, the Compendium of Physical Activities has been used widely in research and to support public health guidelines and initiatives.
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Affiliation(s)
- Barbara E Ainsworth
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China; College of Health Solutions, Arizona State University, Phoenix, AZ 85003, USA.
| | - Stephen D Herrmann
- Kansas Center for Metabolism and Obesity Research, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Catrine Tudor-Locke
- College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
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24
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Hasbani NR, Westerman KE, Kwak SH, Chen H, Li X, Di Corpo D, Wessel J, Bis JC, Sarnowski C, Wu P, Bielak LF, Guo X, Heard-Costa N, Kinney GL, Mahaney MC, Montasser ME, Palmer ND, Raffield LM, Terry JG, Yanek LR, Bon J, Bowden DW, Brody JA, Duggirala R, Jacobs DR, Kalyani RR, Lange LA, Mitchell BD, Smith JA, Taylor KD, Carson AP, Curran JE, Fornage M, Freedman BI, Gabriel S, Gibbs RA, Gupta N, Kardia SLR, Kral BG, Momin Z, Newman AB, Post WS, Viaud-Martinez KA, Young KA, Becker LC, Bertoni AG, Blangero J, Carr JJ, Pratte K, Psaty BM, Rich SS, Wu JC, Malhotra R, Peyser PA, Morrison AC, Vasan RS, Lin X, Rotter JI, Meigs JB, Manning AK, de Vries PS. Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis. Circ Genom Precis Med 2023; 16:e004176. [PMID: 38014529 PMCID: PMC10843644 DOI: 10.1161/circgen.123.004176] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 09/29/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D. METHODS We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 T2D cases leveraging whole-genome sequencing data from the Trans-Omics for Precision Medicine program. We included first-order T2D interaction terms in each model to determine whether CAD loci were modified by T2D. The genetic main and interaction effects were assessed using a joint test to determine whether a CAD variant, or gene-based rare variant set, was associated with the respective subclinical atherosclerosis measures and then further determined whether these loci had a significant interaction test. RESULTS Using a Bonferroni-corrected significance threshold of P<1.6×10-4, we identified 3 genes (ATP1B1, ARVCF, and LIPG) associated with CAC and 2 genes (ABCG8 and EIF2B2) associated with carotid intima-media thickness and carotid plaque, respectively, through gene-based rare variant set analysis. Both ATP1B1 and ARVCF also had significantly different associations for CAC in T2D cases versus controls. No significant interaction tests were identified through the candidate single-variant analysis. CONCLUSIONS These results highlight T2D as an important modifier of rare variant associations in CAD loci with CAC.
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Affiliation(s)
- Natalie R Hasbani
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Kenneth E Westerman
- Department of Medicine, Clinical and Translation Epidemiology Unit (K.E.W., A.K.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, South Korea (S.H.K.)
| | - Han Chen
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
- School of Biomedical Informatics, Center for Precision Health (H.C.), The University of Texas Health Science Center at Houston
| | - Xihao Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health (X. Li, X. Lin), Boston University School of Public Health, MA
| | - Daniel Di Corpo
- Department of Biostatistics (D.D., P.W.), Boston University School of Public Health, MA
| | - Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN (J.W.)
| | - Joshua C Bis
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
| | - Chloè Sarnowski
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Peitao Wu
- Department of Biostatistics (D.D., P.W.), Boston University School of Public Health, MA
| | - Lawrence F Bielak
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California Los Angeles Medical Center, Torrance (X.G., K.D.T.)
| | | | - Gregory L Kinney
- Department of Epidemiology, University of Colorado School of Public Health, Aurora (G.L.K., K.A.Y.)
| | - Michael C Mahaney
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - May E Montasser
- Department of Medicine, Division of Endocrinology Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore (M.E.M., B.D.M.)
| | - Nicholette D Palmer
- Department of Biochemistry (N.D.P., D.W.B.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill (L.M.R.)
| | - James G Terry
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN (J.G.T., J.J.C.)
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Jessica Bon
- Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, PA (J. Bon)
| | - Donald W Bowden
- Department of Biochemistry (N.D.P., D.W.B.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Jennifer A Brody
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen (R.D.)
| | | | - Rita R Kalyani
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine University of Colorado, Aurora (L.A.L.)
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore (M.E.M., B.D.M.)
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, MD (B.D.M.)
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor (J.A.S.)
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California Los Angeles Medical Center, Torrance (X.G., K.D.T.)
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson (A.P.C.)
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - Myriam Fornage
- Institute of Molecular Medicine (M.F.), The University of Texas Health Science Center at Houston
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology (B.I.F.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Stacey Gabriel
- Genomics Platform (S.G., N.G.), Broad Institute, Cambridge
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX (R.A.G., Z.M.)
| | - Namrata Gupta
- Genomics Platform (S.G., N.G.), Broad Institute, Cambridge
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
| | - Brian G Kral
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Zeineen Momin
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX (R.A.G., Z.M.)
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh School of Public Health, PA (A.B.N.)
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins Medicine, Baltimore, MD (W.S.P.)
| | | | - Kendra A Young
- Department of Epidemiology, University of Colorado School of Public Health, Aurora (G.L.K., K.A.Y.)
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Alain G Bertoni
- Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC (A.G.B.)
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - John J Carr
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN (J.G.T., J.J.C.)
| | - Katherine Pratte
- Department of Biostatistics, National Jewish Health, Denver, CO (K.P.)
| | - Bruce M Psaty
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
- Department of Epidemiology (B.M.P.), University of Washington, Seattle
- Department of Health Systems and Population Health (B.M.P.), University of Washington, Seattle
| | | | - Joseph C Wu
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (J.C.W.)
- Department of Medicine, Division of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University School of Medicine (J.C.W.), Stanford University, CA
| | - Rajeev Malhotra
- Division of Cardiology (R.M.), Massachusetts General Hospital, Boston
- Department of Radiology Molecular Imaging Program at Stanford (R.M.), Stanford University, CA
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
| | - Alanna C Morrison
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Ramachandran S Vasan
- Framingham Heart Study, MA (N.H.-C., R.S.V.)
- Department of Quantitative and Qualitative Health Sciences, University of Texas Health San Antonio School of Public Health (R.S.V.)
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health (X. Li, X. Lin), Boston University School of Public Health, MA
| | | | - James B Meigs
- Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Alisa K Manning
- Department of Medicine, Clinical and Translation Epidemiology Unit (K.E.W., A.K.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Paul S de Vries
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
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25
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Rosser BS, Weideman BC, Rider GN, Jatoi A, Ecklund AM, Wheldon CW, Talley KM, Kulasingam S, Smith MK, Jacobs DR, Mitteldorf D, West W, Alley R, Ross MW. Sexual and Gender Minority Invisibility in Cancer Studies: A Call for Effective Recruitment Methods to Address Cancer Disparities. J Clin Oncol 2023; 41:5093-5098. [PMID: 37725780 PMCID: PMC10666979 DOI: 10.1200/jco.23.00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/09/2023] [Accepted: 07/14/2023] [Indexed: 09/21/2023] Open
Abstract
#LGBTQ+ people with cancer are invisibilized: A call for #intersectional cancer research (link here) #healthequity
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Affiliation(s)
- B.R. Simon Rosser
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Ben C.D. Weideman
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - G. Nic Rider
- Department of Family Medicine and Community Health, Institute for Sexual and Gender Health, University of Minnesota Medical School, Minneapolis, MN
| | - Aminah Jatoi
- Department of Oncology, Mayo Clinic, Rochester, MN
| | - Alexandra M. Ecklund
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Christopher W. Wheldon
- Department of Social and Behavioural Sciences, College of Public Health, Temple University, Philadelphia, PA
| | - Kristine M.C. Talley
- Adult and Geriatric Health, University of Minnesota School of Nursing, Minneapolis, MN
| | - Shalini Kulasingam
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - M. Kumi Smith
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | | | - William West
- Department of Writing Studies, University of Minnesota, Minneapolis, MN
| | - Rhea Alley
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Michael W. Ross
- Department of Family Medicine and Community Health, Institute for Sexual and Gender Health, University of Minnesota Medical School, Minneapolis, MN
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26
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de Las Fuentes L, Schwander KL, Brown MR, Bentley AR, Winkler TW, Sung YJ, Munroe PB, Miller CL, Aschard H, Aslibekyan S, Bartz TM, Bielak LF, Chai JF, Cheng CY, Dorajoo R, Feitosa MF, Guo X, Hartwig FP, Horimoto A, Kolčić I, Lim E, Liu Y, Manning AK, Marten J, Musani SK, Noordam R, Padmanabhan S, Rankinen T, Richard MA, Ridker PM, Smith AV, Vojinovic D, Zonderman AB, Alver M, Boissel M, Christensen K, Freedman BI, Gao C, Giulianini F, Harris SE, He M, Hsu FC, Kühnel B, Laguzzi F, Li X, Lyytikäinen LP, Nolte IM, Poveda A, Rauramaa R, Riaz M, Robino A, Sofer T, Takeuchi F, Tayo BO, van der Most PJ, Verweij N, Ware EB, Weiss S, Wen W, Yanek LR, Zhan Y, Amin N, Arking DE, Ballantyne C, Boerwinkle E, Brody JA, Broeckel U, Campbell A, Canouil M, Chai X, Chen YDI, Chen X, Chitrala KN, Concas MP, de Faire U, de Mutsert R, de Silva HJ, de Vries PS, Do A, Faul JD, Fisher V, Floyd JS, Forrester T, Friedlander Y, Girotto G, Gu CC, Hallmans G, Heikkinen S, Heng CK, Homuth G, Hunt S, Ikram MA, Jacobs DR, Kavousi M, Khor CC, Kilpeläinen TO, Koh WP, Komulainen P, Langefeld CD, Liang J, Liu K, Liu J, Lohman K, Mägi R, Manichaikul AW, McKenzie CA, Meitinger T, Milaneschi Y, Nauck M, Nelson CP, O'Connell JR, Palmer ND, Pereira AC, Perls T, Peters A, Polašek O, Raitakari OT, Rice K, Rice TK, Rich SS, Sabanayagam C, Schreiner PJ, Shu XO, Sidney S, Sims M, Smith JA, Starr JM, Strauch K, Tai ES, Taylor KD, Tsai MY, Uitterlinden AG, van Heemst D, Waldenberger M, Wang YX, Wei WB, Wilson G, Xuan D, Yao J, Yu C, Yuan JM, Zhao W, Becker DM, Bonnefond A, Bowden DW, Cooper RS, Deary IJ, Divers J, Esko T, Franks PW, Froguel P, Gieger C, Jonas JB, Kato N, Lakka TA, Leander K, Lehtimäki T, Magnusson PKE, North KE, Ntalla I, Penninx B, Samani NJ, Snieder H, Spedicati B, van der Harst P, Völzke H, Wagenknecht LE, Weir DR, Wojczynski MK, Wu T, Zheng W, Zhu X, Bouchard C, Chasman DI, Evans MK, Fox ER, Gudnason V, Hayward C, Horta BL, Kardia SLR, Krieger JE, Mook-Kanamori DO, Peyser PA, Province MM, Psaty BM, Rudan I, Sim X, Smith BH, van Dam RM, van Duijn CM, Wong TY, Arnett DK, Rao DC, Gauderman J, Liu CT, Morrison AC, Rotter JI, Fornage M. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. Front Genet 2023; 14:1235337. [PMID: 38028628 PMCID: PMC10651736 DOI: 10.3389/fgene.2023.1235337] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/27/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. Methods: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant (p < 5 × 10-8) and suggestive (p < 1 × 10-6) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). Results: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (FOXP1, MBOAT4, SKP2, STIM1, STX4), brain (BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A), and liver (BRI3, FOXP1) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Discussion: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.
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Affiliation(s)
- Lisa de Las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Karen L Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Patricia B Munroe
- Clinical Pharmacology, Queen Mary University of London, London, United Kingdom
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, United Kingdom
| | - Clint L Miller
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
- Biochemistry and Molecular Genetics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States
| | - Hugo Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States
- Département de Génomes et Génétique, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Stella Aslibekyan
- School of Public Health, Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Traci M Bartz
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, United States
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Ching-Yu Cheng
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Medical School, Duke-National University of Singapore, Singapore, Singapore
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles, CA, United States
| | - Fernando P Hartwig
- Postgraduate Programme in Epidemiology, Faculty of Medicine, Federal University of Pelotas, Pelotas, RS, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Andrea Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Ivana Kolčić
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States
- Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
| | - Melissa A Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
- Icelandic Heart Association, Kopavogur, Iceland
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States
- National Institutes of Health, Baltimore, MD, United States
| | - Maris Alver
- Estonian Genome Center, Insititute of Genomics, University of Tartu, Tartu, Estonia
| | - Mathilde Boissel
- European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Barry I Freedman
- Nephrology Division, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Sarah E Harris
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Federica Laguzzi
- Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Xiaoyin Li
- Department of Population and Quantitative Health Sciences, Cleveland, OH, United States
- Department of Mathematics and Statistics, St. Cloud State University, St. Cloud, MN, United States
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, University of Tampere, Tampere, Finland
- Finnish Cardiovascular Research Center, University of Tampere, Tampere, Finland
| | - Ilja M Nolte
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Alaitz Poveda
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Muhammad Riaz
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Tamar Sofer
- Biostatistics, Department of Medicine, Brigham and Women's Hospital, Harvard University, Boston, MA, United States
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, United States
| | - Peter J van der Most
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald and University of Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research, Greifswald, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yiqiang Zhan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Dan E Arking
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Christie Ballantyne
- Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX, United States
- Houston Methodist Debakey Heart and Vascular Center, Houston, TX, United States
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, United States
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, United States
| | - Ulrich Broeckel
- Section on Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, United Kingdom
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Mickaël Canouil
- European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Xiaoran Chai
- Data Science Unit, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Yii-Der Ida Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles, CA, United States
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kumaraswamy Naidu Chitrala
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States
| | - Maria Pina Concas
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - Ulf de Faire
- Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Ahn Do
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - Virginia Fisher
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - James S Floyd
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, United States
| | - Terrence Forrester
- Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - Yechiel Friedlander
- Braun School of Public Health, Hadassah Medical Center, Hebrew University, Jerusalem, Israel
| | - Giorgia Girotto
- Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Göran Hallmans
- Section for Nutritional Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - 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
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald and University of Greifswald, Greifswald, Germany
| | - Steven Hunt
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
- Department of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | | | - Carl D Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Jingjing Liang
- Department of Population and Quantitative Health Sciences, Cleveland, OH, United States
| | - Kiang Liu
- Epidemiology, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Kurt Lohman
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Reedik Mägi
- Estonian Genome Center, Insititute of Genomics, University of Tartu, Tartu, Estonia
| | - Ani W Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Colin A McKenzie
- Tropical Medicine Research Institute, University of the West Indies, Mona, Jamaica
| | - 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
| | | | - Matthias Nauck
- German Center for Cardiovascular Research, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Jeffrey R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, United States
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Thomas Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research, Neuherberg, Germany
| | - Ozren Polašek
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Charumathi Sabanayagam
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Medical School, Duke-National University of Singapore, Singapore, Singapore
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Stephen Sidney
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA, United States
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, United Kingdom
| | - Konstantin Strauch
- German Research Center for Environmental Health, Helmholtz Zentrum München, Institute of Genetic Epidemiology, Neuherberg, Germany
- Institute of Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles, CA, United States
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, Minneapolis, MN, United States
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Diana van Heemst
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Ya-Xing Wang
- Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China
| | - Wen-Bin Wei
- Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China
| | - Gregory Wilson
- Jackson Heart Study Graduate Training Center, School of Public, Jackson State University, Jackson, MS, United States
| | - Deng Xuan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Jie Yao
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles, CA, United States
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Min Yuan
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Amélie Bonnefond
- European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Richard S Cooper
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, United States
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Jasmin Divers
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Tõnu Esko
- Estonian Genome Center, Insititute of Genomics, University of Tartu, Tartu, Estonia
- Broad Institute, Massachusetts Institute of Technology and Harvard University, Boston, MA, United States
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Nutrition, Harvard Chan School of Public Health, Boston, MA, United States
| | - Philippe Froguel
- European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Jost B Jonas
- Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Timo A Lakka
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Karin Leander
- Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere, Tampere, Finland
- Finnish Cardiovascular Research Center, University of Tampere, Tampere, Finland
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Ioanna Ntalla
- Clinical Pharmacology, Queen Mary University of London, London, United Kingdom
- Celgene, Bristol Myers Squibb, Mississauga, ON, Canada
| | | | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Harold Snieder
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Beatrice Spedicati
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Pim van der Harst
- Division Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Henry Völzke
- German Center for Cardiovascular Research, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Lynne E Wagenknecht
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Cleveland, OH, United States
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States
- National Institute on Aging, National Institutes of Health, Bethesda, MD, United States
| | - Ervin R Fox
- Division of Cardiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Bernardo L Horta
- Postgraduate Programme in Epidemiology, Faculty of Medicine, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jose Eduardo Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Michael M Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, United States
- Department of Epidemiology, University of Washington, Seattle, WA, United States
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, United States
| | - Igor Rudan
- Centre for Global Health, The Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tien Yin Wong
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Medical School, Duke-National University of Singapore, Singapore, Singapore
| | - Donna K Arnett
- College of Public Health, Dean's Office, University of Kentucky, Lexington, KY, United States
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - James Gauderman
- Division of Biostatistics, Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles, CA, United States
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, United States
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Angelini ED, Yang J, Balte PP, Hoffman EA, Manichaikul AW, Sun Y, Shen W, Austin JHM, Allen NB, Bleecker ER, Bowler R, Cho MH, Cooper CS, Couper D, Dransfield MT, Garcia CK, Han MK, Hansel NN, Hughes E, Jacobs DR, Kasela S, Kaufman JD, Kim JS, Lappalainen T, Lima J, Malinsky D, Martinez FJ, Oelsner EC, Ortega VE, Paine R, Post W, Pottinger TD, Prince MR, Rich SS, Silverman EK, Smith BM, Swift AJ, Watson KE, Woodruff PG, Laine AF, Barr RG. Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans. Thorax 2023; 78:1067-1079. [PMID: 37268414 PMCID: PMC10592007 DOI: 10.1136/thorax-2022-219158] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 05/03/2022] [Accepted: 05/03/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND Treatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if unsupervised machine learning on CT images would discover CT emphysema subtypes with distinct characteristics, prognoses and genetic associations. METHODS New CT emphysema subtypes were identified by unsupervised machine learning on only the texture and location of emphysematous regions on CT scans from 2853 participants in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS), a COPD case-control study, followed by data reduction. Subtypes were compared with symptoms and physiology among 2949 participants in the population-based Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study and with prognosis among 6658 MESA participants. Associations with genome-wide single-nucleotide-polymorphisms were examined. RESULTS The algorithm discovered six reproducible (interlearner intraclass correlation coefficient, 0.91-1.00) CT emphysema subtypes. The most common subtype in SPIROMICS, the combined bronchitis-apical subtype, was associated with chronic bronchitis, accelerated lung function decline, hospitalisations, deaths, incident airflow limitation and a gene variant near DRD1, which is implicated in mucin hypersecretion (p=1.1 ×10-8). The second, the diffuse subtype was associated with lower weight, respiratory hospitalisations and deaths, and incident airflow limitation. The third was associated with age only. The fourth and fifth visually resembled combined pulmonary fibrosis emphysema and had distinct symptoms, physiology, prognosis and genetic associations. The sixth visually resembled vanishing lung syndrome. CONCLUSION Large-scale unsupervised machine learning on CT scans defined six reproducible, familiar CT emphysema subtypes that suggest paths to specific diagnosis and personalised therapies in COPD and pre-COPD.
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Affiliation(s)
- Elsa D Angelini
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
- LTCI, Institut Polytechnique de Paris, Telecom Paris, Palaiseau, France
- NIHR Imperial Biomedical Research Centre, ITMAT Data Science Group, Imperial College, London, UK
| | - Jie Yang
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Eric A Hoffman
- Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Yifei Sun
- Department of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA
| | - Wei Shen
- Department of Pediatrics, Institute of Human Nutrition, Columbia University Irving Medical Center, New York, New York, USA
- Columbia Magnetic Resonance Research Center (CMRRC), Columbia University Irving Medical Center, New York, New York, USA
| | - John H M Austin
- Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA
| | - Norrina B Allen
- Institute for Public Health and Medicine (IPHAM) - Center for Epidemiology and Population Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Eugene R Bleecker
- Department of Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Russell Bowler
- Department of Medicine, National Jewish Health, Denver, Colorado, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - MeiLan K Han
- Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Emlyn Hughes
- Department of Physics, Columbia University, New York, New York, USA
| | - David R Jacobs
- Division of Epidemiology and Community Public Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Silva Kasela
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
- New York Genome Center, New York, New York, USA
| | - Joel Daniel Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, Washington, USA
| | - John Shinn Kim
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Tuuli Lappalainen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Joao Lima
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Daniel Malinsky
- Department of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA
| | - Fernando J Martinez
- Department of Medicine, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Victor E Ortega
- Department of Pulmonary Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Robert Paine
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Wendy Post
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tess D Pottinger
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Martin R Prince
- Department of Radiology, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Andrew J Swift
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Karol E Watson
- Department of Medicine, University of California, Los Angeles, California, USA
| | - Prescott G Woodruff
- Department of Medicine, University of California, San Francisco, California, USA
| | - Andrew F Laine
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
- Columbia Magnetic Resonance Research Center (CMRRC), Columbia University Irving Medical Center, New York, New York, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Epidemiology, Columbia University Irving Medical Center, New York, New York, USA
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Quinn TD, Lane A, Gabriel KP, Sternfeld B, Jacobs DR, Smith P, Gibbs BB. Thirteen-Year Associations of Occupational and Leisure-Time Physical Activity with Cardiorespiratory Fitness in CARDIA. Med Sci Sports Exerc 2023; 55:2025-2034. [PMID: 37343382 PMCID: PMC10592558 DOI: 10.1249/mss.0000000000003237] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/23/2023]
Abstract
PURPOSE Differential effects on fitness are hypothesized to contribute to the opposing health effects of leisure-time physical activity (LTPA) and occupational physical activity (OPA). As such, this study examined cross-sectional and longitudinal associations of fitness with LTPA and OPA. METHODS This study examined fitness associations with LTPA and OPA across 13 yr in the Coronary Artery Risk Development in Young Adults study (years 7 (baseline), 10, 15, and 20 (follow-up) examinations). Fitness was measured at baseline and follow-up via symptom-limited maximal graded exercise test (GXT) duration (in seconds), whereas LTPA and OPA were self-reported during each examination. Baseline and follow-up cross-sectional associations of LTPA (low, medium, high) and OPA (0, 1-6, and ≥6 months with OPA) with fitness were examined using linear regression. Longitudinal linear regression examined associations between 13-yr LTPA (low, medium, or high) and OPA (no, decreasing, or increasing) trajectories with fitness at follow-up, adjusted for baseline values. All models adjusted for center, sex, race, age, education, smoking history, alcohol intake, resting blood pressure, diabetes status, and body mass index. Stratified analyses examined associations by sex (female/male), race (Black/White), and LTPA groups. RESULTS Compared with low, medium, and high LTPA were positively associated with fitness in all analyses ( P < 0.001). Reporting 1-6 or ≥6 months with OPA was negatively associated with fitness in cross-sectional follow-up models ( β = -15.6 and -15.4, respectively; P ≤ 0.01). Longitudinally, those with increasing OPA had lower follow-up fitness compared with no OPA ( β = -16.41, P < 0.01). Negative associations of OPA with fitness were not meaningfully different across sex and race groups. Significant LTPA-OPA interactions were observed ( P < 001). CONCLUSIONS Physical activity research and public health promotion should consider domain-specific associations on cardiovascular health.
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Affiliation(s)
- Tyler D. Quinn
- Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, Morgantown, WV
| | - Abbi Lane
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | | | - Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - David R. Jacobs
- Mayo Professor of Public Health, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Peter Smith
- Institute for Work and Health, Toronto, Ontario, CANADA
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, CANADA
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, AUSTRALIA
| | - Bethany Barone Gibbs
- Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, Morgantown, WV
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29
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Hu X, Logan JG, Kwon Y, Lima JAC, Jacobs DR, Duprez D, Brumback L, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Blackwell TW, Papanicolaou G, Mitchell GF, Rich SS, Rotter JI, Van Den Berg DJ, Chirinos JA, Hughes TM, Garrett-Bakelman FE, Manichaikul A. Multi-ancestry epigenome-wide analyses identify methylated sites associated with aortic augmentation index in TOPMed MESA. Sci Rep 2023; 13:17680. [PMID: 37848499 PMCID: PMC10582077 DOI: 10.1038/s41598-023-44806-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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/12/2023] [Indexed: 10/19/2023] Open
Abstract
Despite the prognostic value of arterial stiffness (AS) and pulsatile hemodynamics (PH) for cardiovascular morbidity and mortality, epigenetic modifications that contribute to AS/PH remain unknown. To gain a better understanding of the link between epigenetics (DNA methylation) and AS/PH, we examined the relationship of eight measures of AS/PH with CpG sites and co-methylated regions using multi-ancestry participants from Trans-Omics for Precision Medicine (TOPMed) Multi-Ethnic Study of Atherosclerosis (MESA) with sample sizes ranging from 438 to 874. Epigenome-wide association analysis identified one genome-wide significant CpG (cg20711926-CYP1B1) associated with aortic augmentation index (AIx). Follow-up analyses, including gene set enrichment analysis, expression quantitative trait methylation analysis, and functional enrichment analysis on differentially methylated positions and regions, further prioritized three CpGs and their annotated genes (cg23800023-ETS1, cg08426368-TGFB3, and cg17350632-HLA-DPB1) for AIx. Among these, ETS1 and TGFB3 have been previously prioritized as candidate genes. Furthermore, both ETS1 and HLA-DPB1 have significant tissue correlations between Whole Blood and Aorta in GTEx, which suggests ETS1 and HLA-DPB1 could be potential biomarkers in understanding pathophysiology of AS/PH. Overall, our findings support the possible role of epigenetic regulation via DNA methylation of specific genes associated with AIx as well as identifying potential targets for regulation of AS/PH.
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Affiliation(s)
- Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Jeongok G Logan
- School of Nursing, University of Virginia, Charlottesville, VA, USA
| | - Younghoon Kwon
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joao A C Lima
- Department of Internal Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David R Jacobs
- Division of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Duprez
- Cardiovascular Division, University of Minnesota, Minneapolis, MN, USA
| | - Lyndia Brumback
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter Durda
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Elaine Cornell
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA
| | - Russell P Tracy
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA
| | - Thomas W Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - George Papanicolaou
- Epidemiology Branch, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - David J Van Den Berg
- Department of Preventive Medicine and Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Julio A Chirinos
- Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Timothy M Hughes
- Department of Internal Medicine - Section of Gerontology and Geriatric Medicine, and Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Francine E Garrett-Bakelman
- Department of Biochemistry and Molecular Genetics, Department of Medicine, University of Virginia, 1340 Jefferson Park Ave., Pinn hall 6054, Charlottesville, VA, 22908, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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30
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Patchen BK, Balte P, Bartz TM, Barr RG, Fornage M, Graff M, Jacobs DR, Kalhan R, Lemaitre RN, O'Connor G, Psaty B, Seo J, Tsai MY, Wood AC, Xu H, Zhang J, Gharib SA, Manichaikul A, North K, Steffen LM, Dupuis J, Oelsner E, Hancock DB, Cassano PA. Investigating Associations of Omega-3 Fatty Acids, Lung Function Decline, and Airway Obstruction. Am J Respir Crit Care Med 2023; 208:846-857. [PMID: 37470492 DOI: 10.1164/rccm.202301-0074oc] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/26/2023] [Indexed: 07/21/2023] Open
Abstract
Rationale: Inflammation contributes to lung function decline and the development of chronic obstructive pulmonary disease. Omega-3 fatty acids have antiinflammatory properties and may benefit lung health. Objectives: To investigate associations of omega-3 fatty acids with lung function decline and incident airway obstruction in a diverse sample of adults from general-population cohorts. Methods: Complementary study designs: 1) longitudinal study of plasma phospholipid omega-3 fatty acids and repeated FEV1 and FVC measures in the NHLBI Pooled Cohorts Study and 2) two-sample Mendelian randomization (MR) study of genetically predicted omega-3 fatty acids and lung function parameters. Measurements and Main Results: The longitudinal study found that higher omega-3 fatty acid levels were associated with attenuated lung function decline in 15,063 participants, with the largest effect sizes for the most metabolically downstream omega-3 fatty acid, docosahexaenoic acid (DHA). An increase in DHA of 1% of total fatty acids was associated with attenuations of 1.4 ml/yr for FEV1 (95% confidence interval [CI], 1.1-1.8) and 2.0 ml/yr for FVC (95% CI, 1.6-2.4) and a 7% lower incidence of spirometry-defined airway obstruction (95% CI, 0.89-0.97). DHA associations persisted across sexes and smoking histories and in Black, White, and Hispanic participants, with associations of the largest magnitude in former smokers and Hispanic participants. The MR study showed similar trends toward positive associations of genetically predicted downstream omega-3 fatty acids with FEV1 and FVC. Conclusions: The longitudinal and MR studies provide evidence supporting beneficial effects of higher levels of downstream omega-3 fatty acids, especially DHA, on lung health.
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Affiliation(s)
- Bonnie K Patchen
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | - Pallavi Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Ravi Kalhan
- Departments of Medicine and Preventative Medicine, Northwestern Medicine, Chicago, Illinois
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - George O'Connor
- Pulmonary, Allergy, Sleep and Critical Care Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Bruce Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - Jungkyun Seo
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Alexis C Wood
- U.S. Department of Agriculture/Agricultural Research Service Children Nutrition Research Center, Houston, Texas
| | - Hanfei Xu
- Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Jingwen Zhang
- Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Sina A Gharib
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Kari North
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Lyn M Steffen
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Josée Dupuis
- U.S. Department of Agriculture/Agricultural Research Service Children Nutrition Research Center, Houston, Texas
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Québec, Canada
| | - Elizabeth Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Dana B Hancock
- RTI International, Research Triangle Park, North Carolina; and
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
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31
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de Brito JN, McDonough DJ, Mathew M, VanWagner LB, Schreiner PJ, Gabriel KP, Jacobs DR, Terry JG, Carr JJ, Pereira MA. Young Adult Physical Activity Trajectories and Midlife Nonalcoholic Fatty Liver Disease. JAMA Netw Open 2023; 6:e2338952. [PMID: 37862012 PMCID: PMC10589812 DOI: 10.1001/jamanetworkopen.2023.38952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/08/2023] [Indexed: 10/21/2023] Open
Abstract
Importance Physical activity (PA) is recommended for preventing and treating nonalcoholic fatty liver disease (NAFLD). Yet, how long-term patterns of intensity-based physical activity, including moderate-intensity PA (MPA) and vigorous-intensity PA (VPA), might affect the prevalence of NAFLD in middle age remains unclear. Objective To identify distinct intensity-based PA trajectories from young to middle adulthood and examine the associations between PA trajectories and NAFLD prevalence in midlife. Design, Setting, and Participants This population-based cohort of 2833 participants used the Coronary Artery Risk Development in Young Adults study data. The setting included field clinics in Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and Oakland, California. Data analysis was completed in March 2023. Exposures PA was self-reported at 8 examinations over 25 years (1985-1986 to 2010-2011) and separately scored for MPA and VPA. Main Outcomes and Measures NAFLD was defined as liver attenuation values less than 51 Hounsfield units after exclusion of other causes of liver fat, measured using computed tomography in year 25 (2010-2011). Results Among a total of 2833 participants included in the sample, 1379 (48.7%) self-identified as Black, 1454 (51.3%) as White, 1206 (42.6%) as male, and 1627 (57.4%) as female from baseline (1985-1986) (mean [SD] age, 25.0 [3.6] years) to year 25 (2010-2011) (mean [SD] age, 50.1 [3.6] years). Three MPA trajectories were identified: very low stable (1514 participants [53.4%]), low increasing (1096 [38.7%]), and moderate increasing (223 [7.9%]); and 3 VPA trajectories: low stable (1649 [58.2%]), moderate decreasing (1015 [35.8%]), and high decreasing (169 [6.0%]). After adjustment for covariates (sex, age, race, study center, education, smoking status, and alcohol consumption), participants in the moderate decreasing (risk ratio [RR], 0.74; 95% CI, 0.54-0.85) and the high decreasing (RR, 0.59; 95% CI, 0.44-0.80) VPA trajectories had a lower risk of NAFLD in middle age, relative to participants in the low stable VPA trajectory. Adjustments for baseline body mass index and waist circumference attenuated these estimates, but the results remained statistically significant. The adjusted RRs across the MPA trajectories were close to null and not statistically significant. Conclusions and Relevance This cohort study of Black and White participants found a reduced risk of NAFLD in middle age for individuals with higher levels of VPA throughout young to middle adulthood compared with those with lower VPA levels. These results suggest the need for promoting sustainable and equitable prevention programs focused on VPA over the life course to aid in lowering NAFLD risk.
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Affiliation(s)
- Junia N. de Brito
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis
| | - Daniel J. McDonough
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
| | - Mahesh Mathew
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
| | - Lisa B. VanWagner
- Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
| | - James G. Terry
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
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32
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Steffen BT, Jacobs DR, Yi SY, Lees SJ, Shikany JM, Terry JG, Lewis CE, Carr JJ, Zhou X, Steffen LM. Long-term aspartame and saccharin intakes are related to greater volumes of visceral, intermuscular, and subcutaneous adipose tissue: the CARDIA study. Int J Obes (Lond) 2023; 47:939-947. [PMID: 37443272 PMCID: PMC10511315 DOI: 10.1038/s41366-023-01336-y] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/24/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Artificial sweetener (ArtSw) intakes have been previously associated with higher BMI in observational studies and may promote visceral and skeletal muscle adipose tissue (AT) accumulation. This study aimed to determine whether habitual, long-term ArtSw or diet beverage intakes are related to greater AT depot volumes and anthropometry-related outcomes. METHODS A validated diet history questionnaire was administered at baseline, year 7, and year 20 examinations in 3088 men and women enrolled in the Coronary Artery Risk Development in Young Adults cohort (CARDIA), mean age of 25.2 years and mean BMI of 24.5 kg/m2 at baseline. Volumes of visceral (VAT), intermuscular (IMAT), and subcutaneous adipose tissue (SAT) were assessed by computed tomography at year 25. Linear regression evaluated associations of aspartame, saccharin, sucralose, total ArtSw, and diet beverage intakes with AT volumes, anthropometric measures, and 25-year change in anthropometry. Cox regression estimated associations of ArtSw with obesity incidence. Adjustments were made for demographic and lifestyle factors, total energy intake, and the 2015 healthy eating index. RESULTS Total ArtSw, aspartame, saccharin, and diet beverage intakes were positively associated with VAT, SAT, and IMAT volumes (all ptrend ≤ 0.001), but no associations were observed for sucralose intake (all ptrend > 0.05). In addition, total ArtSw, saccharin, aspartame, and diet beverage intakes were associated with greater body mass index, body weight, waist circumference, and their increases over a 25-year period. Except for saccharin (ptrend = 0.13), ArtSw, including diet soda, was associated with greater risks of incident obesity over a median 17.5-year follow-up (all ptrend < 0.05). CONCLUSIONS Results suggest that long-term intakes of aspartame, saccharin, or diet soda may increase AT deposition and risk of incident obesity independent of diet quality or caloric intake. Coupled with previous evidence, alternatives to national recommendations to replace added sugar with ArtSw should be considered since both may have health consequences.
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Affiliation(s)
- Brian T Steffen
- Division of Computational Health Sciences, Department of Surgery, School of Medicine, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - So-Yun Yi
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Simon J Lees
- Medical Sciences Division, Northern Ontario School of Medicine University, Thunder Bay, ON, Canada
| | - James M Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James G Terry
- Department of Radiology and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cora E Lewis
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John J Carr
- Department of Radiology and Vanderbilt Translational and Clinical Cardiovascular Research Center (VTRACC), Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xia Zhou
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
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Kavousi M, Bos MM, Barnes HJ, Lino Cardenas CL, Wong D, Lu H, Hodonsky CJ, Landsmeer LPL, Turner AW, Kho M, Hasbani NR, de Vries PS, Bowden DW, Chopade S, Deelen J, Benavente ED, Guo X, Hofer E, Hwang SJ, Lutz SM, Lyytikäinen LP, Slenders L, Smith AV, Stanislawski MA, van Setten J, Wong Q, Yanek LR, Becker DM, Beekman M, Budoff MJ, Feitosa MF, Finan C, Hilliard AT, Kardia SLR, Kovacic JC, Kral BG, Langefeld CD, Launer LJ, Malik S, Hoesein FAAM, Mokry M, Schmidt R, Smith JA, Taylor KD, Terry JG, van der Grond J, van Meurs J, Vliegenthart R, Xu J, Young KA, Zilhão NR, Zweiker R, Assimes TL, Becker LC, Bos D, Carr JJ, Cupples LA, de Kleijn DPV, de Winther M, den Ruijter HM, Fornage M, Freedman BI, Gudnason V, Hingorani AD, Hokanson JE, Ikram MA, Išgum I, Jacobs DR, Kähönen M, Lange LA, Lehtimäki T, Pasterkamp G, Raitakari OT, Schmidt H, Slagboom PE, Uitterlinden AG, Vernooij MW, Bis JC, Franceschini N, Psaty BM, Post WS, Rotter JI, Björkegren JLM, O'Donnell CJ, Bielak LF, Peyser PA, Malhotra R, van der Laan SW, Miller CL. Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification. Nat Genet 2023; 55:1651-1664. [PMID: 37770635 PMCID: PMC10601987 DOI: 10.1038/s41588-023-01518-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 08/29/2023] [Indexed: 09/30/2023]
Abstract
Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.
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Affiliation(s)
- Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Maxime M Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hanna J Barnes
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian L Lino Cardenas
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Doris Wong
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Haojie Lu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Lennart P L Landsmeer
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adam W Turner
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea
| | - Natalie R Hasbani
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Center at Houston, Houston, TX, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Center at Houston, Houston, TX, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Sandesh Chopade
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
| | - Joris Deelen
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | - Ernest Diez Benavente
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Edith Hofer
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | | | - Sharon M Lutz
- Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Lotte Slenders
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Icelandic Heart Association, Kopavogur, Iceland
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Jessica van Setten
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Diane M Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marian Beekman
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Matthew J Budoff
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
| | - Chris Finan
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | | | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical School, University of NSW, Sydney, New South Wales, Australia
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Brian G Kral
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences and Data Science, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Shaista Malik
- Susan Samueli Integrative Health Institute, Department of Medicine, University of California Irvine, Irvine, CA, USA
| | | | - Michal Mokry
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - James G Terry
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Joyce van Meurs
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jianzhao Xu
- Department of Biochemistry, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Denver, CO, USA
| | | | - Robert Zweiker
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, Graz, Austria
| | - Themistocles L Assimes
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J Jeffrey Carr
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Menno de Winther
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences: Atherosclerosis and Ischemic syndromes, Amsterdam Infection and Immunity: Inflammatory diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, School of Public Health, University of Iceland, Reykjavik, Iceland
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
| | - John E Hokanson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ivana Išgum
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Leslie A Lange
- Department of Biomedical Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Gerard Pasterkamp
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Helena Schmidt
- Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - P Eline Slagboom
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Vascular Surgery, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Departments of Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Johan L M Björkegren
- Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Medicine, Integrated Cardio Metabolic Centre, Karolinska Institutet, Huddinge, Sweden
| | - Christopher J O'Donnell
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Cardiology Section, Department of Medicine, Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Rajeev Malhotra
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Clint L Miller
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
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Liu GY, Colangelo LA, San Jose Estepar R, Esposito AJ, Ash SY, Choi B, Jacobs DR, Carnethon MR, Washko GR, Kalhan R. Low-Normal FVC Trajectory Starting in Early Adulthood and Risk of Future Interstitial Abnormalities. Am J Respir Crit Care Med 2023; 208:816-818. [PMID: 37490649 PMCID: PMC10563195 DOI: 10.1164/rccm.202304-0771le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/25/2023] [Indexed: 07/27/2023] Open
Affiliation(s)
| | - Laura A. Colangelo
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | | | - Samuel Y. Ash
- Critical Care, South Shore Hospital, Weymouth, Massachusetts; and
| | - Bina Choi
- Applied Chest Imaging Laboratory
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Mercedes R. Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - George R. Washko
- Applied Chest Imaging Laboratory
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine and
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Duprez DA, Jacobs DR. Time to Routinely Measure eGFR and Albuminuria in Young and Middle-Aged Adults. J Am Coll Cardiol 2023; 82:1328-1330. [PMID: 37730289 DOI: 10.1016/j.jacc.2023.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Daniel A Duprez
- Cardiovascular Division, Department of Medicine, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
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Duprez D, Jacobs DR. LDL-cholesterol lowering: to be or not to be too low. Eur J Prev Cardiol 2023; 30:1205-1206. [PMID: 37158485 DOI: 10.1093/eurjpc/zwad143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 05/04/2023] [Indexed: 05/10/2023]
Affiliation(s)
- Daniel Duprez
- Cardiovascular Division, Department of Medicine, University of Minnesota, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
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Duprez DA, Jacobs DR. The Reply. Am J Med 2023; 136:e185. [PMID: 37612025 DOI: 10.1016/j.amjmed.2023.04.039] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 08/25/2023]
Affiliation(s)
- Daniel A Duprez
- Cardiovascular Division, Department of Medicine, School of Medicine, University of Minnesota.
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota Medical School, eliminate Medical School, Minneapolis
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McDonough DJ, Mathew M, Pope ZC, Schreiner PJ, Jacobs DR, VanWagner LB, Carr JJ, Terry JG, Gabriel KP, Reis JP, Pereira MA. Aerobic and Muscle-Strengthening Physical Activity, Television Viewing, and Nonalcoholic Fatty Liver Disease: The CARDIA Study. J Clin Med 2023; 12:5603. [PMID: 37685671 PMCID: PMC10488389 DOI: 10.3390/jcm12175603] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND The prevalence of non-alcoholic fatty liver disease (NAFLD) in U.S. adults is over 30%, yet the role of lifestyle factors in the etiology of NAFLD remains understudied. We examined the associations of physical activity, by intensity and type, and television viewing with prevalent NAFLD. METHODS Cross-sectional analysis of a population-based sample of 2726 Black (49%) and White (51%) adults (Mean (SD) age, 50 (3.6) years; 57.3% female) from the CARDIA study. Exposures were aerobic activity by intensity (moderate, vigorous; hours/week); activity type (aerobic, muscle-strengthening; hours/week); and television viewing (hours/week), examined concurrently in all models and assessed by validated questionnaires. Our outcome was NAFLD (liver attenuation < 51 Hounsfield Units), measured by non-contrast computed tomography, after exclusions for other causes of liver fat. Covariates were sex, age, race, study center, education, diet quality, smoking status, alcohol consumption, and body mass index or waist circumference. RESULTS 648 participants had NAFLD. In the fully adjusted modified Poisson regression model, the risk ratios per interquartile range of each exposure were moderate-intensity aerobic activity, 1.10 (95% CI, 0.97-1.26); vigorous-intensity aerobic activity, 0.72 (0.63-0.82); muscle-strengthening activity, 0.89 (0.80-1.01); and television viewing, 1.20 (1.10-1.32). Relative to less active participants with higher levels of television viewing, those who participated in ≥2 h/week of both vigorous-intensity aerobic and muscle-strengthening activity and <7 h/week of television viewing had 65% lower risk of NAFLD (risk ratio = 0.35, 95% CI = 0.23-0.51). CONCLUSION Adults who follow public health recommendations for vigorous-aerobic and muscle-strengthening activity, as well as minimize television viewing, are considerably less likely to have NAFLD than those who do not follow the recommendations and who have relatively high levels of television viewing.
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Affiliation(s)
- Daniel J. McDonough
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Mahesh Mathew
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Zachary C. Pope
- Well Living Lab, Rochester, NY 55902, USA;
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, NY 14625, USA
| | - Pamela J. Schreiner
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - David R. Jacobs
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Lisa B. VanWagner
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;
| | - John Jeffrey Carr
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA; (J.J.C.); (J.G.T.)
| | - James G. Terry
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA; (J.J.C.); (J.G.T.)
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA;
| | - Jared P. Reis
- National Heart Lung and Blood Institute, Bethesda, MD 20892, USA;
| | - Mark A. Pereira
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
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Al-darsani Z, Jacobs DR, Bryan RN, Launer LJ, Steffen LM, Yaffe K, Shikany JM, Odegaard AO. Measures of MRI Brain Biomarkers in Middle Age According to Average Modified Mediterranean Diet Scores Throughout Young and Middle Adulthood. Nutr Healthy Aging 2023; 8:109-121. [PMID: 38013773 PMCID: PMC10475985 DOI: 10.3233/nha-220192] [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] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 06/08/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND The Mediterranean diet (MedDiet) has been linked with better cognitive function and brain integrity. OBJECTIVE To examine the association of modified Mediterranean diet (mMedDiet) scores from early through middle adulthood in relation to volumetric and microstructural midlife MRI brain measures. Assess the association of mMedDiet and brain measures with four cognitive domains. If variables are correlated, determine if brain measures mediate the relationship between mMedDiet and cognition. METHODS 618 participants (mean age 25.4±3.5 at year 0) of the Coronary Artery Risk Development in Young Adults (CARDIA) study were included. Cumulative average mMedDiet scores were calculated by averaging scores from years 0, 7, and 20. MRI scans were obtained at years 25 and 30. General linear models were used to examine the association between mMedDiet and brain measures. RESULTS Higher cumulative average mMedDiet scores were associated with better microstructural white matter (WM) integrity measured by fractional anisotropy (FA) at years 25 and 30 (all ptrend <0.05). Higher mMedDiet scores at year 7 were associated with higher WM FA at year 25 (β= 0.003, ptrend = 0.03). Higher mMedDiet scores at year 20 associated with higher WM FA at years 25 (β= 0.0005, ptrend = 0.002) and 30 (β= 0.0003, ptrend = 0.02). mMedDiet scores were not associated with brain volumes. Higher mMedDiet scores and WM FA were both correlated with better executive function, processing speed, and global cognition (all ptrend <0.05). WM FA did not mediate the association between mMedDiet scores and cognition. CONCLUSIONS mMedDiet scores may be associated with microstructural WM integrity at midlife.
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Affiliation(s)
- Zeinah Al-darsani
- Department of Epidemiology and Biostatistics, University of California, Irvine, Irvine, CA, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - R. Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Andrew O. Odegaard
- Department of Epidemiology and Biostatistics, University of California, Irvine, Irvine, CA, USA
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Giro P, Cunningham JW, Rasmussen-Torvik L, Bielinski SJ, Larson NB, Colangelo LA, Jacobs DR, Gross M, Reiner AP, Lloyd-Jones DM, Guo X, Taylor K, Vaduganathan M, Post WS, Bertoni A, Ballantyne C, Shah A, Claggett B, Boerwinkle E, Yu B, Solomon SD, Shah SJ, Patel RB. Missense Genetic Variation of ICAM1 and Incident Heart Failure. J Card Fail 2023; 29:1163-1172. [PMID: 36882149 PMCID: PMC10477308 DOI: 10.1016/j.cardfail.2023.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 02/02/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Intercellular adhesion molecule-1 (ICAM-1) is a cell surface protein that participates in endothelial activation and is hypothesized to play a central role in heart failure (HF). We evaluated associations of ICAM1 missense genetic variants with circulating ICAM-1 levels and with incident HF. METHODS AND RESULTS We identified 3 missense variants within ICAM1 (rs5491, rs5498 and rs1799969) and evaluated their associations with ICAM-1 levels in the Coronary Artery Risk Development in Young Adults Study and the Multi-Ethnic Study of Atherosclerosis (MESA). We determined the association among these 3 variants and incident HF in MESA. We separately evaluated significant associations in the Atherosclerosis Risk in Communities (ARIC) study. Of the 3 missense variants, rs5491 was common in Black participants (minor allele frequency [MAF] > 20%) and rare in other race/ethnic groups (MAF < 5%). In Black participants, the presence of rs5491 was associated with higher levels of circulating ICAM-1 at 2 timepoints separated by 8 years. Among Black participants in MESA (n = 1600), the presence of rs5491 was associated with an increased risk of incident HF with preserved ejection fraction (HFpEF; HR = 2.30; [95% CI 1.25-4.21; P = 0.007]). The other ICAM1 missense variants (rs5498 and rs1799969) were associated with ICAM-1 levels, but there were no associations with HF. In ARIC, rs5491 was significantly associated with incident HF (HR = 1.24 [95% CI 1.02 - 1.51]; P = 0.03), with a similar direction of effect for HFpEF that was not statistically significant. CONCLUSIONS A common ICAM1 missense variant among Black individuals may be associated with increased risk of HF, which may be HFpEF-specific.
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Affiliation(s)
- Pedro Giro
- From the Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Jonathan W Cunningham
- Division of Cardiology, Department of Medicine, Brigham and Woman's Hospital, Boston, MA
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Nicholas B Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Laura A Colangelo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Donald M Lloyd-Jones
- From the Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Kent Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Muthiah Vaduganathan
- Division of Cardiology, Department of Medicine, Brigham and Woman's Hospital, Boston, MA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Alain Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - Amil Shah
- Division of Cardiology, Department of Medicine, Brigham and Woman's Hospital, Boston, MA
| | - Brian Claggett
- Division of Cardiology, Department of Medicine, Brigham and Woman's Hospital, Boston, MA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Scott D Solomon
- Division of Cardiology, Department of Medicine, Brigham and Woman's Hospital, Boston, MA
| | - Sanjiv J Shah
- From the Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Ravi B Patel
- From the Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
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Brumback LC, Andrews LIB, Jacobs DR, Duprez DA, Thepaksorn EH, Kaufman JD, Denenberg JO, Allison MA. The association between arterial compliance, as assessed by PTC1 and PTC2 from radial artery waveforms, and age, sex, and race/ethnicity. J Hypertens 2023; 41:1117-1126. [PMID: 37071438 PMCID: PMC10238654 DOI: 10.1097/hjh.0000000000003441] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
BACKGROUND There is limited literature on differences in arterial compliance, as assessed from arterial pressure waveforms, with age, sex, and race/ethnicity. PTC1 and PTC2 are indices of arterial compliance, which are derived from a Windkessel model of the waveform, relatively easy to obtain, and associated with cardiovascular disease. METHOD PTC1 and PTC2 were computed from radial artery waveforms from participants of the Multi-Ethnic Study of Atherosclerosis at baseline and again 10 years later. We evaluated the association of PTC1, PTC2, and 10-year change in PTC1 and PTC2 with age, sex, and race/ethnicity. RESULTS Among 6245 participants in 2000-2002 (mean ± SD of age was 62 ± 10 years; 52% female; 38% White, 12% Chinese, 27% Black, and 23% Hispanic/Latino), means ± SDs for PTC1 and PTC2 were 394 ± 334 and 94 ± 46 ms. After adjustment for cardiovascular disease risk factors, mean PTC2 was 1.1 ms (95% confidence interval: 1.0, 1.2) lower (arterial stiffness was greater) per year older age, was 22 ms (19, 24) lower for females, and varied by race/ethnicity ( P < 0.001; e.g., 5 ms lower for Blacks compared with Whites), although the differences were smaller at older ages ( P < 0.001 for age-sex, P < 0.001 for age-race/ethnicity interactions). Among 3701 participants with repeat measurements in 2010-2012, arteries had stiffened (mean ± SD 10-year decrease in PTC2: 13 ± 46 ms) consistent with cross-sectional age-trend and tended to stiffen less for females and Blacks consistent with cross-sectional age-interactions. CONCLUSION Differences in arterial compliance by age, sex, and race/ethnicity lend support to identify and act on societal factors that may drive health disparities.
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Affiliation(s)
- Lyndia C Brumback
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Leah I B Andrews
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health
| | - Daniel A Duprez
- Cardiovascular Division, Department of Medicine, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Elizabeth Hom Thepaksorn
- Sirindhorn College of Public Health, Trang, Faculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Thailand
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington
| | - Julie O Denenberg
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA
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Joyce BT, Chen X, Gao T, Zheng Y, Nannini DR, Liu L, Henkle BE, Kalhan R, Washko G, Kunisaki KM, Thyagarajan B, Vaughan DE, Gross M, Jacobs DR, Lloyd-Jones D, Hou L. Associations between GrimAge acceleration and pulmonary function in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Epigenomics 2023; 15:693-703. [PMID: 37694401 PMCID: PMC10503465 DOI: 10.2217/epi-2023-0164] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Background: The objective of this research was to determine whether pulmonary function is associated with epigenetic aging (GrimAge) and whether GrimAge predicts emphysema. Methods: This prospective study examined 1042 participants enrolled as part of a community-based longitudinal cohort. The cross-sectional associations between pulmonary function and GrimAge, measured at study year (Y) 20 (participant ages 40-45 years), and prospective associations with emphysema at Y25 were examined. Results: At Y20, forced expiratory volume in 1 s (FEV1) and FEV1/forced vital capacity (FVC) were negatively associated with GrimAge; for Y0-Y10 cumulative measures, only the FEV1/FVC ratio was associated with GrimAge at Y15 and Y20. Emphysema at Y25 was associated with GrimAge at Y15 and Y20. Conclusion: Pulmonary function was associated with GrimAge during early and mid-life; GrimAge partially mediated the association between pulmonary function and emphysema.
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Affiliation(s)
- Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Xuefen Chen
- Department of Epidemiology of Health Statistics, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201318, China
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO 63110, USA
| | - Benjamin E Henkle
- Minneapolis VA Health Care System, Minneapolis, MN 55417, USA
- University of Minnesota, Minneapolis, MN 55455, USA
| | - Ravi Kalhan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - George Washko
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Ken M Kunisaki
- Minneapolis VA Health Care System, Minneapolis, MN 55417, USA
- University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Douglas E Vaughan
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Myron Gross
- University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Nannini DR, Zheng Y, Joyce BT, Kim K, Gao T, Wang J, Jacobs DR, Schreiner PJ, Yaffe K, Greenland P, Lloyd-Jones DM, Hou L. Genome-wide DNA methylation association study of recent and cumulative marijuana use in middle aged adults. Mol Psychiatry 2023; 28:2572-2582. [PMID: 37258616 PMCID: PMC10611566 DOI: 10.1038/s41380-023-02106-y] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/24/2023] [Accepted: 05/03/2023] [Indexed: 06/02/2023]
Abstract
Marijuana is a widely used psychoactive substance in the US and medical and recreational legalization has risen over the past decade. Despite the growing number of individuals using marijuana, studies investigating the association between epigenetic factors and recent and cumulative marijuana use remain limited. We therefore investigated the association between recent and cumulative marijuana use and DNA methylation levels. Participants from the Coronary Artery Risk Development in Young Adults Study with whole blood collected at examination years (Y) 15 and Y20 were randomly selected to undergo DNA methylation profiling at both timepoints using the Illumina MethylationEPIC BeadChip. Recent use of marijuana was queried at each examination and used to estimate cumulative marijuana use from Y0 to Y15 and Y20. At Y15 (n = 1023), we observed 22 and 31 methylation markers associated (FDR P ≤ 0.05) with recent and cumulative marijuana use and 132 and 16 methylation markers at Y20 (n = 883), respectively. We replicated 8 previously reported methylation markers associated with marijuana use. We further identified 640 cis-meQTLs and 198 DMRs associated with recent and cumulative use at Y15 and Y20. Differentially methylated genes were statistically overrepresented in pathways relating to cellular proliferation, hormone signaling, and infections as well as schizophrenia, bipolar disorder, and substance-related disorders. We identified numerous methylation markers, pathways, and diseases associated with recent and cumulative marijuana use in middle-aged adults, providing additional insight into the association between marijuana use and the epigenome. These results provide novel insights into the role marijuana has on the epigenome and related health conditions.
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Affiliation(s)
- Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kyeezu Kim
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Vameghestahbanati M, Sack C, Wysoczanski A, Hoffman EA, Angelini E, Allen NB, Bertoni AG, Guo J, Jacobs DR, Kaufman JD, Laine A, Lin CL, Malinsky D, Michos ED, Oelsner EC, Shea SJ, Watson KE, Benedetti A, Barr RG, Smith BM. Association of dysanapsis with mortality among older adults. Eur Respir J 2023; 61:2300551. [PMID: 37263750 PMCID: PMC10580540 DOI: 10.1183/13993003.00551-2023] [Citation(s) in RCA: 5] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/27/2023] [Indexed: 06/03/2023]
Abstract
Dysanapsis – an anthropometric mismatch between airway tree calibre and lung size that is common in the general population – is strongly associated with all-cause mortality and increases susceptibility to tobacco smoking-related diseases https://bit.ly/42oDe8J
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Affiliation(s)
| | | | | | | | - Elsa Angelini
- Columbia University, New York, NY, USA
- NIHR Imperial Biomedical Research Centre, ITMAT Data Science Group, Imperial College London, London, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Benjamin M Smith
- McGill University, Montreal, QC, Canada
- Columbia University, New York, NY, USA
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Menotti A, Puddu PE, Kafatos AG, Tolonen H, Adachi H, Jacobs DR. Cardiovascular Mortality in 10 Cohorts of Middle-Aged Men Followed-Up 60 Years until Extinction: The Seven Countries Study. J Cardiovasc Dev Dis 2023; 10:201. [PMID: 37233168 PMCID: PMC10219369 DOI: 10.3390/jcdd10050201] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 03/20/2023] [Revised: 04/21/2023] [Accepted: 04/29/2023] [Indexed: 05/27/2023] Open
Abstract
OBJECTIVES To investigate mortalities from three major groups of cardiovascular diseases (CVDs) in a pooled cohort and followed up until extinction. MATERIALS AND METHODS Ten cohorts of men (N = 9063) initially aged 40-59, in six countries, were examined and followed-up for 60 years. The major CVD groups were coronary heart disease (CHD), cerebrovascular diseases (STROKE) and other heart diseases of uncertain etiology (HDUE). RESULTS Death rates from CHD were higher in countries with high serum cholesterol levels (USA, Finland and The Netherlands) and lower in countries with low cholesterol levels (Italy, Greece and Japan), but the opposite was observed for STROKE and HDUE, which became the most common CVD mortalities in all countries during the last 20 years of follow-up. Systolic blood pressure and smoking habits were, at an individual level, the common risk factors for the three groups of CVD conditions, while serum cholesterol level was the most common risk factor only for CHD. Overall, death rates for the pooled CVDs were 18% higher in North American and Northern European countries, while CHD rates were 57% higher in the same countries. CONCLUSIONS Differences in lifelong CVD mortalities across different countries were smaller than expected due to the different rates of the three groups of CVD, and the indirect determinant of this seemed to be baseline serum cholesterol levels.
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Affiliation(s)
| | - Paolo Emilio Puddu
- Association for Cardiac Research, 00182 Rome, Italy;
- EA 4650, Signalisation, Electrophysiologie et Imagerie des Lésions d’ischémie Reperfusion Myocardique, Université de Normandie, 14032 Caen, France
| | - Anthony G. Kafatos
- Department of Social Medicine, Preventive Medicine and Nutrition Clinic, University of Crete, 71003 Heraklion, Greece
| | - Hanna Tolonen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Hisashi Adachi
- Department of Internal Medicine, Division of Cardio-Vascular Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
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Liu GY, Colangelo LA, Ash SY, San Jose Estepar R, Jacobs DR, Thyagarajan B, Wells JM, Putman RK, Choi B, Stevenson CS, Carnethon M, Washko GR, Kalhan R. Computed tomography measure of lung injury and future interstitial features: the CARDIA Lung Study. ERJ Open Res 2023; 9:00004-2023. [PMID: 37313396 PMCID: PMC10259823 DOI: 10.1183/23120541.00004-2023] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 03/09/2023] [Indexed: 06/15/2023] Open
Abstract
Introduction Visually normal areas of the lung with high attenuation on computed tomography (CT) imaging, termed CT lung injury, may represent injured but not yet remodelled lung parenchyma. This prospective cohort study examined if CT lung injury is associated with future interstitial features on CT and restrictive spirometry abnormality among participants from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Methods CARDIA is a population-based cohort study. CT scans obtained at two time points were assessed objectively for amount of lung tissue characterised as CT lung injury and interstitial features. Restrictive spirometry was defined as having a forced vital capacity (FVC) <80% predicted with forced expiratory volume in 1 s/FVC ratio >70%. Results Among 2213 participants, the median percentage of lung tissue characterised as CT lung injury at a mean age of 40 years was 3.4% (interquartile range 0.8-18.0%). After adjustment for covariates, a 10% higher amount of CT lung injury at mean age 40 years was associated with a 4.37% (95% CI 3.99-4.74%) higher amount of lung tissue characterised as interstitial features at mean age 50 years. Compared to those with the lowest quartile of CT lung injury at mean age 40 years, there were higher odds of incident restrictive spirometry at mean age 55 years in quartile 2 (OR 2.05, 95% CI 1.20-3.48), quartile 3 (OR 2.80, 95% CI 1.66-4.72) and quartile 4 (OR 3.77, 95% CI 2.24-6.33). Conclusions CT lung injury is an early objective measure that indicates risk of future lung impairment.
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Affiliation(s)
- Gabrielle Y. Liu
- Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Laura A. Colangelo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Samuel Y. Ash
- Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Raul San Jose Estepar
- Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - J. Michael Wells
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rachel K. Putman
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Bina Choi
- Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Mercedes Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - George R. Washko
- Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Song C, Bancks MP, Whitaker KM, Wong M, Carson AP, Dutton GR, Goff DC, Gordon-Larsen P, Gunderson EP, Jacobs DR, Kiefe CI, Lewis CE, Lloyd-Jones DM, Shikany JM, Kershaw KN. Contribution of social, behavioral, and contextual exposures to Black-White disparities in incident obesity: The CARDIA study. Obesity (Silver Spring) 2023; 31:1402-1414. [PMID: 37041722 PMCID: PMC10191978 DOI: 10.1002/oby.23698] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 11/29/2022] [Accepted: 12/13/2022] [Indexed: 04/13/2023]
Abstract
OBJECTIVE The aim of this study was to quantify the contributions of socioeconomic, psychosocial, behavioral, reproductive, and neighborhood exposures in young adulthood to Black-White differences in incident obesity. METHODS In the Coronary Artery Risk Development in Young Adults (CARDIA) study, 4488 Black or White adults aged 18 to 30 years without obesity at baseline (1985-1986) were followed over 30 years. Sex-specific Cox proportional hazard models were used to estimate Black-White differences in incident obesity. Models were adjusted for baseline and time-updated indicators. RESULTS During follow-up, 1777 participants developed obesity. Black women were 1.87 (95% CI: 1.63-2.13) times more likely and Black men were 1.53 (95% CI: 1.32-1.77) times more likely to develop obesity than their White counterparts after adjusting for age, field center, and baseline BMI. Baseline exposures explained 43% of this difference in women and 52% in men. Time-updated exposures explained more of the racial difference in women but less for men, compared with baseline exposures. CONCLUSIONS Adjusting for these exposures accounted for a substantial but incomplete proportion of racial disparities in incident obesity. Remaining differences may be explained by incomplete capture of the most salient aspects of these exposures or potential variation in the impact of these exposures on obesity by race.
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Affiliation(s)
- Christopher Song
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Keck Medicine Family Residency Program, Los Angeles, California, USA
| | - Michael P. Bancks
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, College of Liberal Arts & Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Mandy Wong
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Gareth R. Dutton
- Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David C. Goff
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Penny Gordon-Larsen
- Depatrment of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Erica P. Gunderson
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Catarina I. Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Cora E. Lewis
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - James M. Shikany
- Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kiarri N. Kershaw
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Wharton R, Wang JG, Choi Y, Eisenberg E, Jackson MK, Hanson C, Liu B, Washko GR, Kalhan R, Jacobs DR, Bose S. Associations of a Plant-centered Diet and Lung Function Decline across Early to Mid-Adulthood: The CARDIA Lung Study. Res Sq 2023:rs.3.rs-2845326. [PMID: 37163005 PMCID: PMC10168442 DOI: 10.21203/rs.3.rs-2845326/v1] [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] [Indexed: 05/11/2023]
Abstract
Background Lung function throughout adulthood predicts morbidity and mortality even among adults without chronic respiratory disease. Diet quality may represent a modifiable risk factor for lung function impairment later in life. We investigated associations between nutritionally-rich plant-centered diet and lung function decline across early and middle adulthood from the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Methods Diet was assessed at baseline and years 7 and 20 of follow-up using the validated CARDIA diet history questionnaire. Plant-centered diet quality was scored using the validated A Priori Diet Quality Score (APDQS), which weights food groups to measure adherence to a nutritionally-rich plant-centered diet 1 to 5 points for 20 beneficially rated foods and 5 to 1 points for 13 adversely rated foods. Scores were cumulatively averaged over follow-up and categorized into quintiles. The primary outcome was lung function decline, including forced expiratory volume in 1 second (FEV1) and functional vital capacity (FVC), measured at years 0, 2, 5, 10, 20, and 30. We estimated the association of APDQS with annual pulmonary function changes in a repeated measures regression model, adjusting for clinically relevant covariates. Results The study included 3,787 Black and White men and women aged 18-30 in 1985-86 and followed for 30 years. In multivariable repeated measures regression models, individuals in the lowest APDQS quintile (poorest diet) had declines in FEV1 that were 1.6 ml/year greater than individuals in the highest quintile (35.0 vs. 33.4 ml/year, ß±SE per 1 SD change APDQS 0.94 ± 0.36, p = 0.009). Additionally, declines in FVC were 2.4 ml/year greater in the lowest APDQS quintile than those in the highest quintile (37.0 vs 34.6 ml/year, ß±SE per 1 SD change APDQS 1.71 ± 0.46, p < 0.001). The association was not different between never and ever smokers (pint = 0.07 for FVC and 0.32 for FEV1). In sensitivity analyses where current asthma diagnosis and cardiorespiratory fitness were further adjusted, results remained similar. Conclusions In this 30-year longitudinal cohort study, long-term adherence to a nutritionally-rich plant-centered diet was associated with slower decline in lung function, highlighting diet quality as a potential treatable trait supporting long-term lung health.
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Affiliation(s)
| | | | | | | | | | | | - Bian Liu
- Icahn School of Medicine at Mount Sinai
| | | | - Ravi Kalhan
- Northwestern University Feinberg School of Medicine
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Choi Y, Jacobs DR, Kramer HJ, Shroff GR, Chang AR, Duprez DA. Nontraditional Risk Factors for Progression Through Chronic Kidney Disease Risk Categories: The Coronary Artery Risk Development in Young Adults Study. Am J Med 2023; 136:380-389.e10. [PMID: 36565799 PMCID: PMC10038875 DOI: 10.1016/j.amjmed.2022.12.001] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 11/29/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND There may be nontraditional pathways of chronic kidney disease (CKD) progression that are complementary to classical pathways. Therefore, we aimed to examine nontraditional risk factors for incident CKD and its progression. METHODS We used the generally healthy population (n = 4382) starting at age 27-41 years in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort, which is an observational longitudinal study. Nontraditional risk factors included forced vital capacity, inflammation, serum urate, and serum carotenoids. CKD risk category was classified using the estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR) measured in 1995-1996 and repeated every 5 years for 20 years: No CKD, low risk, moderate risk, high risk, and very high risk. RESULTS At baseline, 84.8% had no CKD (eGFR ≥60 mL/min/1.73 m2 and UACR <10 mg/g), 10.3% were in the low risk (eGFR ≥60 and UACR 10-29), and 4.9% had CKD (eGFR <60 and/or UACR ≥ 30). Nontraditional risk factors were significantly associated with the progression of CKD to higher categories. Hazard ratios per standard deviation of the predictor for incident CKD and its progression from the No CKD and low and moderate risk into CKD were inverse for forced vital capacity and serum carotenoids and positive for serum urate, GlycA, and C-reactive protein, the first 3 even after adjustment for conventional risk factors. CONCLUSION Several nontraditional markers were significantly associated with an increased risk of progression to higher CKD categories in generally healthy young to middle-aged adults.
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Affiliation(s)
- Yuni Choi
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Holly J Kramer
- Departments of Public Health Sciences and Medicine, Loyola University Chicago, Maywood, Ill
| | - Gautam R Shroff
- Division of Cardiology and Department of Medicine, Hennepin Healthcare, University of Minnesota Medical School, Minneapolis
| | - Alexander R Chang
- Department of Population of Health Sciences, Kidney Health Research Institute, Department of Nephrology, Geisinger Medical Center, Danville, Penn
| | - Daniel A Duprez
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis.
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Brumback LC, Andrews LI, Jacobs DR, Duprez D, Hom Thepaksorn EK, Kaufman JD, Denenberg J, Allison M. Reproducibility of PTC1 and PTC2, indices of arterial compliance, from the radial artery waveform: The Multi-Ethnic Study of Atherosclerosis. Vasc Med 2023; 28:141-143. [PMID: 36721317 PMCID: PMC10578356 DOI: 10.1177/1358863x221151089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Lyndia C Brumback
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Leah Ib Andrews
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Duprez
- Department of Medicine, Cardiovascular Division, School of Medicine, University of Minnesota, Minneapolis, MN, USA
| | | | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Julie Denenberg
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
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