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Yu Y, Zhang M, Tang Y, Zhai C, Hu W, Yu G, Sun H, Xu Y, Zong Q, Liu Y, Gong X, Wang F, Zou Y. Global disease burden attributable to kidney dysfunction, 1990-2019: A health inequality and trend analysis based on the global burden of disease study. Diabetes Res Clin Pract 2024; 215:111801. [PMID: 39094741 DOI: 10.1016/j.diabres.2024.111801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 07/16/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVE This study aimed to evaluate the burden of kidney dysfunction (KD), assess socioeconomic inequalities, and project trends in the future. METHODS Data on deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) were from Global Burden of Disease Study 2019. The Joinpoint regression model was utilized to analyze the temporal trend by the annual percentage change (APC). The slope index and concentration index were employed to evaluate cross-country disparities. The future trend was predicted using an age-period-cohort analysis. RESULTS In the past three decades, the death numbers of KD increased from 1,571,720 to 3,161,552, DALYs from 42,090,331 to 76,486,945, YLDs from 5,003,267 to 11,282,484, and YLLs from 37,087,065 to 65,204,461, respectively. The age-standardized rate (ASR) of deaths, DALYs, and YLLs exhibited a declining trend. The ASR of YLDs increased until 2017, then decreased. The slope index and concentration index for DALYs increased from 248.1 to 351.9 and from 40.70 to 57.8. In the future, the ASR of deaths, DALYs, YLDs, and YLLs will remain stable, while their numbers will continue to rise, except for YLLs. CONCLUSIONS The disease burden of KD remained serious. Tailored interventions should be developed based on national contexts.
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Affiliation(s)
- Yingying Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Mingyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuqin Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Chunxia Zhai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wanqin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Guanghui Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Hongyu Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ying Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qiqun Zong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuqi Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xingyu Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Fang Wang
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
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Nishi S, Goto S. Donor Evaluation of Living Kidney Transplantation in the Aging Society. Nephron Clin Pract 2023; 147 Suppl 1:61-66. [PMID: 37611543 DOI: 10.1159/000531915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/23/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Because of the lack of organ donation, living kidney transplantation (LKT) is increasing worldwide. Recently, the number of elderly donors has been increasing, and the patients with end-stage kidney diseases are older than those in the previous decades. Due to the advanced ages, their glomerular filtration rates (GFR) decrease, and the comorbidities such as hypertension, diabetic condition, and obesity are common. The clinicians now have to give their unwilling consent to the LKT from the donors with expanded criteria. SUMMARY For the secure selection of donors, proper GFR measuring is essential. Although directly measured GFR (mGFR) was recommended in the guidelines, estimated GFR (eGFR) is used at the initial evaluation of donor renal function clinically. Many equations calculating eGFR have been published so far. In the selection of eGFR equations, the smaller difference between mGFR and eGFR and the closer relationship to the prevalence rates of comorbidities are requisite points. Therefore, we compared the specificity of the various eGFR equations. The eGFR calculated from the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation showed approximate reliability with minimal difference between mGFR and eGFR and the closer relationships to the prevalence rates of comorbidities. KEY MESSAGE The CKD-EPI-eGFR presented optimal performance in the donor renal function evaluation. Therefore, eGFR from the CKD-EPI equation is highly recommended in evaluating renal function in LKT donors.
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Affiliation(s)
- Shinichi Nishi
- Division of Nephrology and Kidney Center, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Shunsuke Goto
- Division of Nephrology and Kidney Center, Graduate School of Medicine, Kobe University, Kobe, Japan
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Rhee CM, You AS, Page V, Hayashida G, Kataoka-Yahiro M, Davis J, Wong LL, Narasaki Y, Kalantar-Zadeh K. Racial and Ethnic Differences in Chronic Kidney Disease and Its Risk Factors among Asian-Americans and Pacific Islanders in Hawaii. Nephron Clin Pract 2023; 147:373-382. [PMID: 36603561 PMCID: PMC10272063 DOI: 10.1159/000527990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 09/12/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Several studies suggest that Asian-American and Native Hawaiian and Other Pacific Islander (NHOPI) racial/ethnic groups have a heightened risk of chronic kidney disease (CKD), but provide limited inference due to the aggregation of these groups into a single racial/ethnic category. We thus examined the association of granularly defined racial/ethnic groups with specific CKD indicators among a diverse group of participants from the National Kidney Foundation of Hawaii's Kidney Early Detection Screening (KEDS) Program. METHODS Among 1,243 participants enrolled in 19 KEDS screening events over 2006-2009, we examined the association between Asian-American and NHOPI groups and specific CKD indicators, defined as self-reported CKD, microalbuminuria, and macroalbuminuria, using multivariable logistic regression. We then examined associations of race/ethnicity with various CKD risk factors. RESULTS The most predominant racial/ethnic groups were White (22.0%), Multiracial (18.9%), Japanese (19.2%), Filipino (13.4%), NHOPI (8.4%), and Chinese (4.5%) participants. NHOPI and Chinese participants had a higher risk of microalbuminuria (adjusted ORs [aORs] [95% CIs] 2.48 [1.25-4.91] and 2.37 [1.07-5.27], respectively), while point estimates for all other minority groups suggested higher risk (reference: Whites). NHOPI participants also had a higher risk of macroalbuminuria and self-reported CKD. While most minorities had a higher risk of diabetes and hypertension, NHOPI and Multiracial participants had a higher risk of obesity, whereas the East Asian groups had a lower risk. CONCLUSIONS In this community-based cohort, compared with Whites, Asian-Americans had a higher risk of early CKD indicators, whereas NHOPIs had a higher risk of more severe CKD indicators. Further studies are needed to elucidate the distinct pathways leading to CKD across diverse racial/ethnic groups in Hawaii.
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Affiliation(s)
- Connie M. Rhee
- Division of Nephrology and Hypertension, University of California Irvine School of Medicine, Orange, CA
| | - Amy S. You
- Division of Nephrology and Hypertension, University of California Irvine School of Medicine, Orange, CA
| | - Victoria Page
- National Kidney Foundation - Hawaii Chapter, Honolulu, HI
| | - Glen Hayashida
- National Kidney Foundation - Hawaii Chapter, Honolulu, HI
| | - Merle Kataoka-Yahiro
- School of Nursing and Dental Hygiene, University of Hawaii at Manoa, Honolulu, HI
| | - James Davis
- Office of Statistics and Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI
| | - Linda L. Wong
- Department of Surgery, University of Hawaii John A. Burns School of Medicine, Honolulu, HI
- Department of Surgery, Queen’s Medical Center, Honolulu, HI
| | - Yoko Narasaki
- Division of Nephrology and Hypertension, University of California Irvine School of Medicine, Orange, CA
| | - Kamyar Kalantar-Zadeh
- Division of Nephrology and Hypertension, University of California Irvine School of Medicine, Orange, CA
- Tibor Rubin Veterans Affairs Medical Center, Long Beach, CA
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Guardino CE, Pan S, Vasan RS, Xanthakis V. Multi-system trajectories and the incidence of heart failure in the Framingham Offspring Study. PLoS One 2022; 17:e0268576. [PMID: 35617332 PMCID: PMC9135195 DOI: 10.1371/journal.pone.0268576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/02/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Heart failure is a multi-system disease, with non-cardiac systems playing a key role in disease pathogenesis. OBJECTIVE Investigate whether longitudinal multi-system trajectories incrementally predict heart failure risk compared to single-occasion traits. METHODS We evaluated 3,412 participants from the Framingham Heart Study Offspring cohort, free of heart failure, who attended examination cycle 5 and at least one examination between 1995-2008 (mean age 67 years, 54% women). We related trajectories for the following organ systems and metabolic functions to heart failure risk using Cox regression: kidney (estimated glomerular filtration rate), lung (forced vital capacity and the ratio of forced expiratory volume in one second/forced vital capacity), neuromotor (gait time), muscular (grip strength), cardiac (left ventricular mass index and heart rate), vascular function (pulse pressure), cholesterol (ratio of total/high-density lipoprotein), adiposity (body mass index), inflammation (C-reactive protein) and glucose homeostasis (hemoglobin A1c). Using traits selected via forward selection, we derived a trajectory risk score and related it to heart failure risk. RESULTS We observed 276 heart failure events during a median follow up of 10 years. Participants with the 'worst' multi-system trajectory profile had the highest heart failure risk. A one-unit increase in the trajectory risk score was associated with a 2.72-fold increase in heart failure risk (95% CI 2.21-3.34; p<0.001). The mean c-statistics for models including the trajectory risk score and single-occasion traits were 0.87 (95% CI 0.83-0.91) and 0.83 (95% CI 0.80-0.86), respectively. CONCLUSION Incorporating multi-system trajectories reflective of the aging process may add incremental information to heart failure risk assessment when compared to using single-occasion traits.
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Affiliation(s)
- Cara E. Guardino
- Division of Cardiology, Warren Alpert Medical School of Brown University and Lifespan Cardiovascular Institute, Providence, Rhode Island, United States of America
- Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, United States of America
| | - Stephanie Pan
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts, United States of America
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Section of Cardiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Vanessa Xanthakis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts, United States of America
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
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Nishi S, Goto S, Mieno M, Yagisawa T, Yuzawa K. The Modified Chronic Kidney Disease Epidemiology Collaboration Equation for the Estimated Glomerular Filtration Rate Is Better Associated with Comorbidities than Other Equations in Living Kidney Donors in Japan. Intern Med 2021; 60:2757-2764. [PMID: 33716291 PMCID: PMC8479209 DOI: 10.2169/internalmedicine.6934-20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Objective We studied three types of estimated glomerular filtration rate (eGFR) equations and evaluated which type was strongly associated with comorbidities in living kidney transplantation (LKT) donors. Methods We compared the Japanese modified eGFR, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations (Jm-eGFR, Jm-MDRD, and Jm-CKD-EPI, respectively) for Japanese LKT donors with respect to their relationships with obesity, hypertension, diabetes, cardiovascular disease, and stroke. Results Of the 8,176 enrolled Japanese LKT donors, the eGFR calculated using Jm-CKD-EPI (eGFR/Jm-CKD-EPI) detected significant differences in 4 of 5 comorbidities between the comorbidity-positive and comorbidity-negative groups, whereas the eGFR calculated using Jm-MDRD (eGFR/Jm-MDRD) and Jm-eGFR (eGFR/Jm-eGFR) detected only 3 and 1 comorbidities, respectively. The area under the receiver operating characteristic curve of Jm-CKD-EPI was larger than those of Jm-eGFR and Jm-MDRD for all five comorbidities. Conclusion We found that the eGFR/Jm-CKD-EPI correlated better with comorbidities than the eGFR/Jm-eGFR and eGFR/Jm-MDRD in Japanese LKT donors. We recommend using the eGFR/Jm-CKD-EPI for the initial assessment of the renal function in LKT donor candidates when evaluating the presence of associated comorbidities.
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Affiliation(s)
- Shinichi Nishi
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Japan
| | - Shunsuke Goto
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Japan
| | - Makiko Mieno
- Center for Information, Jichi Medical University, Japan
| | - Takashi Yagisawa
- Department of Renal Surgery and Transplantation, Jichi Medical University Hospital, Japan
| | - Kenji Yuzawa
- National Hospital Organization Mito Medical Center, Japan
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Suchy-Dicey AM, Zhang Y, McPherson S, Tuttle KR, Howard BV, Umans J, Buchwald DS. Glomerular filtration function decline, mortality, and cardiovascular events: data from the Strong Heart Study. KIDNEY360 2020; 2:71-78. [PMID: 33954294 PMCID: PMC8096185 DOI: 10.34067/kid.0000782020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Rapid kidney decline is associated with mortality and cardiovascular disease, even in the absence of chronic kidney disease. American Indians (AI) have particularly high burden of kidney disease, cardiovascular disease, and stroke. This study aims to examine extreme loss in glomerular function in this population in association with clinical outcomes. METHODS The Strong Heart Study, a large longitudinal cohort of adult AI participants, collected plasma creatinine at 3 examination visits between 1989-1999. Intraindividual regressions of estimated glomerular filtration rate (eGFR) provided linear estimates of change in kidney function over this time period. Surveillance with physician adjudication identified mortality and cardiovascular events between visit 3 through 2017. RESULTS Mean change in eGFR was loss 6.8 mL/min over the ten year baseline (range: -66.0 to +28.9 mL/min). The top 1 percentile lost approximately 5.7 mL/min/year. Participants with extreme eGFR loss were more likely to have diabetes (95% vs 71%), hypertension (49% vs 33%), or longer smoking history, among smokers (19 pack years vs 17 pack years). CKD (eGFR<60 mL/min) was associated only with mortality, independent of slope: HR 1.1 (95% CI 1.0-1.3). However, extreme loss in eGFR (>20 mL/min over baseline period) was associated with mortality, independent of baseline eGFR: HR 3.5 (95% CI 2.7-4.4), and also independently associated with composite CVD events and CHF: HR 1.4 and 1.7 (95% CI 1.1-1.9 and 1.2-2.6), respectively. CONCLUSION This is the first examination of decline in eGFR in association with mortality and CVD among AIs. The implications of these findings are broad: clinical evaluation may benefit from evaluating change in eGFR over time in addition to dichotomous eGFR. Also, these findings suggest there may be aspects of renal function that are not well-marked by clinical CKD, but which may have particular relevance to long-term renal and vascular health.
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Affiliation(s)
- Astrid M. Suchy-Dicey
- Elson S Floyd College of Medicine, Washington State University, Spokane, Washington,Institute for Research and Education to Advance Community Health, Seattle, Washington
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, Oklahoma University College of Public Health, Oklahoma City, Oklahoma
| | - Sterling McPherson
- Elson S Floyd College of Medicine, Washington State University, Spokane, Washington
| | - Katherine R. Tuttle
- Providence Medical Research Center, Providence Health Care, Spokane, Washington,Kidney Research Institute, Nephrology Division, University of Washington, Seattle, Washington
| | | | - Jason Umans
- MedStar Health Research Institute, Hyattsville, Maryland
| | - Dedra S. Buchwald
- Elson S Floyd College of Medicine, Washington State University, Spokane, Washington,Institute for Research and Education to Advance Community Health, Seattle, Washington
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Unruh ML, Arzhan S, Feldman HI, Looker HC, Nelson RG, Faber T, Johnson D, Son-Stone L, Pankratz VS, Myaskovsky L, Shah VO. American Indian chronic Renal insufficiency cohort study (AI-CRIC study). BMC Nephrol 2020; 21:291. [PMID: 32698776 PMCID: PMC7376925 DOI: 10.1186/s12882-020-01954-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is an increasing epidemic globally that is associated with adverse health outcomes including end stage kidney disease (ESKD), cardiovascular disease (CVD), and death. American Indians (AIs) have a higher prevalence of CKD than most other racial/ethnic groups, due in part to a high prevalence of type 2 diabetes. Other genetic and environmental factors not yet identified may also contribute to the disproportionate burden of CKD in AIs. METHOD We will establish 3 clinical centers to recruit AIs from the Southwest United States (US) to expand the Chronic Renal Insufficiency Cohort (CRIC) study. We will follow the current CRIC protocol for kidney and cardiovascular measures and outcomes, which include ambulatory monitoring of kidney function and the use of mobile health technologies for CVD sub-phenotyping, and compare the outcomes in AIs with those in other racial/ethnic groups in CRIC. DISCUSSION AI-CRIC will identify the role of various risk factors for rapid loss of kidney function among AIs of the Southwest US. In addition, to better understand the natural history of CKD and CVD in this high-risk population, we will identify unique risk factors for CKD and CVD progression in AIs. We will also compare event rates and risk factors for kidney and cardiovascular events in AIs with the other populations represented in CRIC.
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Affiliation(s)
- Mark L Unruh
- Department of Internal Medicine and Biochemistry, University of New Mexico, School of Medicine, MSC 10 5550, Albuquerque, NM, 87131, USA
| | - Soraya Arzhan
- Department of Internal Medicine and Biochemistry, University of New Mexico, School of Medicine, MSC 10 5550, Albuquerque, NM, 87131, USA
| | | | | | | | | | | | | | - Vernon S Pankratz
- Department of Internal Medicine and Biochemistry, University of New Mexico, School of Medicine, MSC 10 5550, Albuquerque, NM, 87131, USA
| | - Larissa Myaskovsky
- Department of Internal Medicine and Biochemistry, University of New Mexico, School of Medicine, MSC 10 5550, Albuquerque, NM, 87131, USA
| | - Vallabh O Shah
- Department of Internal Medicine and Biochemistry, University of New Mexico, School of Medicine, MSC 10 5550, Albuquerque, NM, 87131, USA.
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Bozack AK, Domingo-Relloso A, Haack K, Gamble MV, Tellez-Plaza M, Umans JG, Best LG, Yracheta J, Gribble MO, Cardenas A, Francesconi KA, Goessler W, Tang WY, Fallin MD, Cole SA, Navas-Acien A. Locus-Specific Differential DNA Methylation and Urinary Arsenic: An Epigenome-Wide Association Study in Blood among Adults with Low-to-Moderate Arsenic Exposure. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67015. [PMID: 32603190 PMCID: PMC7534587 DOI: 10.1289/ehp6263] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 03/18/2020] [Accepted: 05/29/2020] [Indexed: 05/10/2023]
Abstract
BACKGROUND Chronic exposure to arsenic (As), a human toxicant and carcinogen, remains a global public health problem. Health risks persist after As exposure has ended, suggesting epigenetic dysregulation as a mechanistic link between exposure and health outcomes. OBJECTIVES We investigated the association between total urinary As and locus-specific DNA methylation in the Strong Heart Study, a cohort of American Indian adults with low-to-moderate As exposure [total urinary As, mean ( ± SD ) μ g / g creatinine: 11.7 (10.6)]. METHODS DNA methylation was measured in 2,325 participants using the Illumina MethylationEPIC array. We implemented linear models to test differentially methylated positions (DMPs) and the DMRcate method to identify regions (DMRs) and conducted gene ontology enrichment analysis. Models were adjusted for estimated cell type proportions, age, sex, body mass index, smoking, education, estimated glomerular filtration rate, and study center. Arsenic was measured in urine as the sum of inorganic and methylated species. RESULTS In adjusted models, methylation at 20 CpGs was associated with urinary As after false discovery rate (FDR) correction (FDR < 0.05 ). After Bonferroni correction, 5 CpGs remained associated with total urinary As (p Bonferroni < 0.05 ), located in SLC7A11, ANKS3, LINGO3, CSNK1D, ADAMTSL4. We identified one DMR on chromosome 11 (chr11:2,322,050-2,323,247), annotated to C11orf2; TSPAN32 genes. DISCUSSION This is one of the first epigenome-wide association studies to investigate As exposure and locus-specific DNA methylation using the Illumina MethylationEPIC array and the largest epigenome-wide study of As exposure. The top DMP was located in SLC7A11A, a gene involved in cystine/glutamate transport and the biosynthesis of glutathione, an antioxidant that may protect against As-induced oxidative stress. Additional DMPs were located in genes associated with tumor development and glucose metabolism. Further research is needed, including research in more diverse populations, to investigate whether As-related DNA methylation signatures are associated with gene expression or may serve as biomarkers of disease development. https://doi.org/10.1289/EHP6263.
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Affiliation(s)
- Anne K Bozack
- Department of Environmental Health Science, Columbia University, New York, New York, USA
| | - Arce Domingo-Relloso
- Department of Environmental Health Science, Columbia University, New York, New York, USA
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Mary V Gamble
- Department of Environmental Health Science, Columbia University, New York, New York, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jason G Umans
- MedStar Health Research Institute, Washington, District of Columbia, USA
- Center for Clinical and Translational Sciences, Georgetown/Howard Universities, Washington, DC, USA
| | - Lyle G Best
- Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA
| | - Joseph Yracheta
- Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA
| | - Matthew O Gribble
- Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkley, California, USA
| | | | | | - Wan-Yee Tang
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ana Navas-Acien
- Department of Environmental Health Science, Columbia University, New York, New York, USA
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Bikbov B, Purcell CA, Levey AS, Smith M, Abdoli A, Abebe M, Adebayo OM, Afarideh M, Agarwal SK, Agudelo-Botero M, Ahmadian E, Al-Aly Z, Alipour V, Almasi-Hashiani A, Al-Raddadi RM, Alvis-Guzman N, Amini S, Andrei T, Andrei CL, Andualem Z, Anjomshoa M, Arabloo J, Ashagre AF, Asmelash D, Ataro Z, Atout MMW, Ayanore MA, Badawi A, Bakhtiari A, Ballew SH, Balouchi A, Banach M, Barquera S, Basu S, Bayih MT, Bedi N, Bello AK, Bensenor IM, Bijani A, Boloor A, Borzì AM, Cámera LA, Carrero JJ, Carvalho F, Castro F, Catalá-López F, Chang AR, Chin KL, Chung SC, Cirillo M, Cousin E, Dandona L, Dandona R, Daryani A, Das Gupta R, Demeke FM, Demoz GT, Desta DM, Do HP, Duncan BB, Eftekhari A, Esteghamati A, Fatima SS, Fernandes JC, Fernandes E, Fischer F, Freitas M, Gad MM, Gebremeskel GG, Gebresillassie BM, Geta B, Ghafourifard M, Ghajar A, Ghith N, Gill PS, Ginawi IA, Gupta R, Hafezi-Nejad N, Haj-Mirzaian A, Haj-Mirzaian A, Hariyani N, Hasan M, Hasankhani M, Hasanzadeh A, Hassen HY, Hay SI, Heidari B, Herteliu C, Hoang CL, Hosseini M, Hostiuc M, Irvani SSN, Islam SMS, Jafari Balalami N, James SL, Jassal SK, Jha V, Jonas JB, Joukar F, Jozwiak JJ, et alBikbov B, Purcell CA, Levey AS, Smith M, Abdoli A, Abebe M, Adebayo OM, Afarideh M, Agarwal SK, Agudelo-Botero M, Ahmadian E, Al-Aly Z, Alipour V, Almasi-Hashiani A, Al-Raddadi RM, Alvis-Guzman N, Amini S, Andrei T, Andrei CL, Andualem Z, Anjomshoa M, Arabloo J, Ashagre AF, Asmelash D, Ataro Z, Atout MMW, Ayanore MA, Badawi A, Bakhtiari A, Ballew SH, Balouchi A, Banach M, Barquera S, Basu S, Bayih MT, Bedi N, Bello AK, Bensenor IM, Bijani A, Boloor A, Borzì AM, Cámera LA, Carrero JJ, Carvalho F, Castro F, Catalá-López F, Chang AR, Chin KL, Chung SC, Cirillo M, Cousin E, Dandona L, Dandona R, Daryani A, Das Gupta R, Demeke FM, Demoz GT, Desta DM, Do HP, Duncan BB, Eftekhari A, Esteghamati A, Fatima SS, Fernandes JC, Fernandes E, Fischer F, Freitas M, Gad MM, Gebremeskel GG, Gebresillassie BM, Geta B, Ghafourifard M, Ghajar A, Ghith N, Gill PS, Ginawi IA, Gupta R, Hafezi-Nejad N, Haj-Mirzaian A, Haj-Mirzaian A, Hariyani N, Hasan M, Hasankhani M, Hasanzadeh A, Hassen HY, Hay SI, Heidari B, Herteliu C, Hoang CL, Hosseini M, Hostiuc M, Irvani SSN, Islam SMS, Jafari Balalami N, James SL, Jassal SK, Jha V, Jonas JB, Joukar F, Jozwiak JJ, Kabir A, Kahsay A, Kasaeian A, Kassa TD, Kassaye HG, Khader YS, Khalilov R, Khan EA, Khan MS, Khang YH, Kisa A, Kovesdy CP, Kuate Defo B, Kumar GA, Larsson AO, Lim LL, Lopez AD, Lotufo PA, Majeed A, Malekzadeh R, März W, Masaka A, Meheretu HAA, Miazgowski T, Mirica A, Mirrakhimov EM, Mithra P, Moazen B, Mohammad DK, Mohammadpourhodki R, Mohammed S, Mokdad AH, Morales L, Moreno Velasquez I, Mousavi SM, Mukhopadhyay S, Nachega JB, Nadkarni GN, Nansseu JR, Natarajan G, Nazari J, Neal B, Negoi RI, Nguyen CT, Nikbakhsh R, Noubiap JJ, Nowak C, Olagunju AT, Ortiz A, Owolabi MO, Palladino R, Pathak M, Poustchi H, Prakash S, Prasad N, Rafiei A, Raju SB, Ramezanzadeh K, Rawaf S, Rawaf DL, Rawal L, Reiner RC, Rezapour A, Ribeiro DC, Roever L, Rothenbacher D, Rwegerera GM, Saadatagah S, Safari S, Sahle BW, Salem H, Sanabria J, Santos IS, Sarveazad A, Sawhney M, Schaeffner E, Schmidt MI, Schutte AE, Sepanlou SG, Shaikh MA, Sharafi Z, Sharif M, Sharifi A, Silva DAS, Singh JA, Singh NP, Sisay MMM, Soheili A, Sutradhar I, Teklehaimanot BF, Tesfay BE, Teshome GF, Thakur JS, Tonelli M, Tran KB, Tran BX, Tran Ngoc C, Ullah I, Valdez PR, Varughese S, Vos T, Vu LG, Waheed Y, Werdecker A, Wolde HF, Wondmieneh AB, Wulf Hanson S, Yamada T, Yeshaw Y, Yonemoto N, Yusefzadeh H, Zaidi Z, Zaki L, Zaman SB, Zamora N, Zarghi A, Zewdie KA, Ärnlöv J, Coresh J, Perico N, Remuzzi G, Murray CJL, Vos T. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:709-733. [PMID: 32061315 PMCID: PMC7049905 DOI: 10.1016/s0140-6736(20)30045-3] [Show More Authors] [Citation(s) in RCA: 3645] [Impact Index Per Article: 729.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 09/16/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use the term CKD to refer to the morbidity and mortality that can be directly attributed to all stages of CKD, and we use the term impaired kidney function to refer to the additional risk of CKD from cardiovascular disease and gout. METHODS The main data sources we used were published literature, vital registration systems, end-stage kidney disease registries, and household surveys. Estimates of CKD burden were produced using a Cause of Death Ensemble model and a Bayesian meta-regression analytical tool, and included incidence, prevalence, years lived with disability, mortality, years of life lost, and disability-adjusted life-years (DALYs). A comparative risk assessment approach was used to estimate the proportion of cardiovascular diseases and gout burden attributable to impaired kidney function. FINDINGS Globally, in 2017, 1·2 million (95% uncertainty interval [UI] 1·2 to 1·3) people died from CKD. The global all-age mortality rate from CKD increased 41·5% (95% UI 35·2 to 46·5) between 1990 and 2017, although there was no significant change in the age-standardised mortality rate (2·8%, -1·5 to 6·3). In 2017, 697·5 million (95% UI 649·2 to 752·0) cases of all-stage CKD were recorded, for a global prevalence of 9·1% (8·5 to 9·8). The global all-age prevalence of CKD increased 29·3% (95% UI 26·4 to 32·6) since 1990, whereas the age-standardised prevalence remained stable (1·2%, -1·1 to 3·5). CKD resulted in 35·8 million (95% UI 33·7 to 38·0) DALYs in 2017, with diabetic nephropathy accounting for almost a third of DALYs. Most of the burden of CKD was concentrated in the three lowest quintiles of Socio-demographic Index (SDI). In several regions, particularly Oceania, sub-Saharan Africa, and Latin America, the burden of CKD was much higher than expected for the level of development, whereas the disease burden in western, eastern, and central sub-Saharan Africa, east Asia, south Asia, central and eastern Europe, Australasia, and western Europe was lower than expected. 1·4 million (95% UI 1·2 to 1·6) cardiovascular disease-related deaths and 25·3 million (22·2 to 28·9) cardiovascular disease DALYs were attributable to impaired kidney function. INTERPRETATION Kidney disease has a major effect on global health, both as a direct cause of global morbidity and mortality and as an important risk factor for cardiovascular disease. CKD is largely preventable and treatable and deserves greater attention in global health policy decision making, particularly in locations with low and middle SDI. FUNDING Bill & Melinda Gates Foundation.
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10
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Moon KA, Zhang Y, Guallar E, Francesconi KA, Goessler W, Umans JG, Best LG, Howard BV, Devereux RB, Okin PM, Navas-Acien A. Association of low-moderate urine arsenic and QT interval: Cross-sectional and longitudinal evidence from the Strong Heart Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 240:894-902. [PMID: 29793197 PMCID: PMC6339816 DOI: 10.1016/j.envpol.2018.04.129] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 04/17/2018] [Accepted: 04/27/2018] [Indexed: 05/06/2023]
Abstract
Epidemiologic studies suggest that chronic exposure to arsenic is related to cardiovascular disease (CVD), but the pathophysiological link remains uncertain. We evaluated the association of chronic low-moderate arsenic exposure and arsenic metabolism with baseline difference and annual change in ECG measures (QT interval, JT interval, PR interval, QRS duration, and QT dispersion) using linear mixed models in the Strong Heart Study main cohort (N = 1174, median age 55 years) and family study (N = 1695 diabetes-free, median age 36 years). At baseline, arsenic exposure was measured as the sum of inorganic and methylated species in urine (ΣAs) and arsenic metabolism was measured as the relative percentage of arsenic species. Median ΣAs and Bazett heart rate-corrected QT interval (QTc) were 8.6 μg/g creatinine and 424 ms in the main cohort and 4.3 μg/g and 414 ms in the family study, respectively. In the main cohort, a comparison of the highest to lowest ΣAs quartile (>14.4 vs. <5.2 μg/g creatinine) was associated with a 5.3 (95% CI: 1.2, 9.5) ms higher mean baseline QTc interval but no difference in annual change in QTc interval. In the family study, a comparison of the highest to lowest quartile (>7.1 vs. <2.9 μg/g creatinine) was associated with a 3.2 (95% CI: 0.6, 5.7) ms higher baseline QTc interval and a 0.6 (95% CI: 0.04, 1.2) ms larger annual increase in QTc interval. Associations with JTc interval were similar but stronger in magnitude compared to QTc interval. Arsenic exposure was largely not associated with PR interval, QRS duration or QT dispersion. Similar to arsenic exposure, a pattern of lower %MMA and higher %DMA was associated with longer baseline QTc interval in both cohorts and with a larger annual change in QTc interval in the family study. Chronic low-moderate arsenic exposure and arsenic metabolism were associated with prolonged ventricular repolarization.
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Affiliation(s)
- Katherine A Moon
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Yiyi Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kevin A Francesconi
- Institute for Chemistry-Analytical Chemistry, University of Graz, Graz, Austria
| | - Walter Goessler
- Institute for Chemistry-Analytical Chemistry, University of Graz, Graz, Austria
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, USA
| | - Lyle G Best
- Missouri Breaks Industries Research, Timber Lake, SD, USA
| | | | | | | | - Ana Navas-Acien
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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11
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Spratlen MJ, Grau-Perez M, Best LG, Yracheta J, Lazo M, Vaidya D, Balakrishnan P, Gamble MV, Francesconi KA, Goessler W, Cole SA, Umans JG, Howard BV, Navas-Acien A. The Association of Arsenic Exposure and Arsenic Metabolism With the Metabolic Syndrome and Its Individual Components: Prospective Evidence From the Strong Heart Family Study. Am J Epidemiol 2018; 187:1598-1612. [PMID: 29554222 DOI: 10.1093/aje/kwy048] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 02/28/2018] [Indexed: 12/12/2022] Open
Abstract
Inorganic arsenic exposure is ubiquitous, and both exposure and interindividual differences in its metabolism have been associated with cardiometabolic risk. However, the associations of arsenic exposure and arsenic metabolism with the metabolic syndrome (MetS) and its individual components are relatively unknown. We used Poisson regression with robust variance to evaluate the associations of baseline arsenic exposure (urinary arsenic levels) and metabolism (relative percentage of arsenic species over their sum) with incident MetS and its individual components (elevated waist circumference, elevated triglycerides, reduced high-density lipoprotein cholesterol, hypertension, and elevated fasting plasma glucose) in 1,047 participants from the Strong Heart Family Study, a prospective family-based cohort study in American Indian communities (baseline visits were held in 1998-1999 and 2001-2003, follow-up visits in 2001-2003 and 2006-2009). Over the course of follow-up, 32% of participants developed MetS. An interquartile-range increase in arsenic exposure was associated with a 1.19-fold (95% confidence interval: 1.01, 1.41) greater risk of elevated fasting plasma glucose concentration but not with other individual components of the MetS or MetS overall. Arsenic metabolism, specifically lower percentage of monomethylarsonic acid and higher percentage of dimethylarsinic acid, was associated with higher risk of overall MetS and elevated waist circumference but not with any other MetS component. These findings support the hypothesis that there are contrasting and independent associations of arsenic exposure and arsenic metabolism with metabolic outcomes which may contribute to overall diabetes risk.
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Affiliation(s)
- Miranda J Spratlen
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Maria Grau-Perez
- Area of Cardiometabolic and Renal Risk, Clinical Research Foundation of Valencia, Valencia, Spain
- Department of Statistics and Operational Research, Faculty of Mathematics, University of Valencia, Valencia, Spain
| | - Lyle G Best
- Missouri Breaks Industries Research, Inc., Eagle Butte, South Dakota
| | - Joseph Yracheta
- Missouri Breaks Industries Research, Inc., Eagle Butte, South Dakota
| | - Mariana Lazo
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Dhananjay Vaidya
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Poojitha Balakrishnan
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Kevin A Francesconi
- Department of Analytical Chemistry, Institute of Chemistry, University of Graz, Graz, Austria
| | - Walter Goessler
- Department of Analytical Chemistry, Institute of Chemistry, University of Graz, Graz, Austria
| | | | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, Maryland
- Department of Medicine, School of Medicine, Georgetown University, Washington, DC
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, Maryland
- Department of Medicine, School of Medicine, Georgetown University, Washington, DC
| | - Ana Navas-Acien
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
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12
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Moon KA, Navas-Acien A, Grau-Pérez M, Francesconi KA, Goessler W, Guallar E, Umans JG, Best LG, Newman JD. Low-moderate urine arsenic and biomarkers of thrombosis and inflammation in the Strong Heart Study. PLoS One 2017; 12:e0182435. [PMID: 28771557 PMCID: PMC5542675 DOI: 10.1371/journal.pone.0182435] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Accepted: 07/18/2017] [Indexed: 12/30/2022] Open
Abstract
The underlying pathology of arsenic-related cardiovascular disease (CVD) is unknown. Few studies have evaluated pathways through thrombosis and inflammation for arsenic-related CVD, especially at low-moderate arsenic exposure levels (<100 μg/L in drinking water). We evaluated the association of chronic low-moderate arsenic exposure, measured as the sum of inorganic and methylated arsenic species in urine (ΣAs), with plasma biomarkers of thrombosis and inflammation in American Indian adults (45-74 years) in the Strong Heart Study. We evaluated the cross-sectional and longitudinal associations between baseline ΣAs with fibrinogen at three visits (baseline, 1989-91; Visit 2, 1993-95, Visit 3, 1998-99) using mixed models and the associations between baseline ΣAs and Visit 2 plasminogen activator inhibitor-1 (PAI-1) and high sensitivity C-reactive protein (hsCRP) using linear regression. Median (interquartile range) concentrations of baseline ΣAs and fibrinogen, and Visit 2 hsCRP and PAI-1 were 8.4 (5.1, 14.3) μg/g creatinine, 346 (304, 393) mg/dL, 44 (30, 67) mg/L, and 3.8 (2.0, 7.0) ng/mL, respectively. Comparing the difference between the 75th and the 25th percentile of ΣAs (14.3 vs. 5.1 μg/g creatinine), ΣAs was positively associated with baseline fibrinogen among those with diabetes (adjusted geometric mean ratio (GMR): 1.05, 95% CI: 1.02, 1.07) not associated among those without diabetes (GMR: 1.01, 95% CI: 0.99, 1.02) (p-interaction for diabetes = 0.014), inversely associated with PAI-1 (GMR: 0.94, 95% CI: 0.90, 0.99), and not associated with hsCRP (GMR: 1.00, 95% CI: 0.93, 1.08). We found no evidence for an association between baseline ΣAs and annual change in fibrinogen over follow-up (p-interaction = 0.28 and 0.12 for diabetes and non-diabetes, respectively). Low-moderate arsenic exposure was positively associated with baseline fibrinogen in participants with diabetes and unexpectedly inversely associated with PAI-1. Further research should evaluate the role of prothrombotic factors in arsenic-related cardiovascular disease.
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Affiliation(s)
- Katherine A Moon
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Ana Navas-Acien
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.,Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Maria Grau-Pérez
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Kevin A Francesconi
- Institute of Chemistry-Analytical Chemistry, University of Graz, Graz, Austria
| | - Walter Goessler
- Institute of Chemistry-Analytical Chemistry, University of Graz, Graz, Austria
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, United States of America
| | - Lyle G Best
- Missouri Breaks Industries Research, Timber Lake, SD, United States of America
| | - Jonathan D Newman
- New York University School of Medicine, New York, NY, United States of America
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13
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Mateen FJ, Grau-Perez M, Pollak JS, Moon KA, Howard BV, Umans JG, Best LG, Francesconi KA, Goessler W, Crainiceanu C, Guallar E, Devereux RB, Roman MJ, Navas-Acien A. Chronic arsenic exposure and risk of carotid artery disease: The Strong Heart Study. ENVIRONMENTAL RESEARCH 2017; 157:127-134. [PMID: 28554006 PMCID: PMC5546150 DOI: 10.1016/j.envres.2017.05.020] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 05/15/2017] [Accepted: 05/16/2017] [Indexed: 05/27/2023]
Abstract
BACKGROUND Inorganic arsenic exposure from naturally contaminated groundwater is related to vascular disease. No prospective studies have evaluated the association between arsenic and carotid atherosclerosis at low-moderate levels. We examined the association of long-term, low-moderate inorganic arsenic exposure with carotid arterial disease. METHODS American Indians, 45-74 years old, in Arizona, Oklahoma, and North and South Dakota had arsenic concentrations (sum of inorganic and methylated species, μg/g urine creatinine) measured from baseline urine samples (1989-1991). Carotid artery ultrasound was performed in 1998-1999. Vascular disease was assessed by the carotid intima media thickness (CIMT), the presence of atherosclerotic plaque in the carotid, and by the number of segments containing plaque (plaque score). RESULTS 2402 participants (mean age 55.3 years, 63.1% female, mean body mass index 31.0kg/m2, diabetes 45.7%, hypertension 34.2%) had a median (interquintile range) urine arsenic concentration of 9.2 (5.00, 17.06) µg/g creatinine. The mean CIMT was 0.75mm. 64.7% had carotid artery plaque (3% with >50% stenosis). In fully adjusted models comparing participants in the 80th vs. 20th percentile in arsenic concentrations, the mean difference in CIMT was 0.01 (95% confidence interval (95%CI): 0.00, 0.02) mm, the relative risk of plaque presence was 1.04 (95%CI: 0.99, 1.09), and the geometric mean ratio of plaque score was 1.05 (95%CI: 1.01, 1.09). CONCLUSIONS Urine arsenic was positively associated with CIMT and increased plaque score later in life although the association was small. The relationship between urinary arsenic and the presence of plaque was not statistically significant when adjusted for other risk factors. Arsenic exposure may play a role in increasing the severity of carotid vascular disease.
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Affiliation(s)
- Farrah J Mateen
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Maria Grau-Perez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States
| | - Jonathan S Pollak
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Katherine A Moon
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Barbara V Howard
- MedStar Health Research Institute and Georgetown/Howard Universities Center for Clinical and Translational Sciences, Washington DC, United States
| | - Jason G Umans
- MedStar Health Research Institute and Georgetown/Howard Universities Center for Clinical and Translational Sciences, Washington DC, United States
| | - Lyle G Best
- Missouri Breaks Industries Research, Inc, Eagle Butte, SD, United States
| | | | | | - Ciprian Crainiceanu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Richard B Devereux
- Division of Cardiology, Weill Cornell Medical College, New York, NY, United States
| | - Mary J Roman
- Division of Cardiology, Weill Cornell Medical College, New York, NY, United States
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, United States.
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14
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Wang W, Zhang Y, Lee ET, Howard BV, Devereux RB, Cole SA, Best LG, Welty TK, Rhoades E, Yeh J, Ali T, Kizer JR, Kamel H, Shara N, Wiebers DO, Stoner JA. Risk Factors and Prediction of Stroke in a Population with High Prevalence of Diabetes: The Strong Heart Study. ACTA ACUST UNITED AC 2017; 7:145-162. [PMID: 28775914 PMCID: PMC5538319 DOI: 10.4236/wjcd.2017.75014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND OBJECTIVE American Indians have a high prevalence of diabetes and higher incidence of stroke than that of whites and blacks in the U.S. Stroke risk prediction models based on data from American Indians would be of clinical and public health value. METHODS AND RESULTS A total of 3483 (2043 women) Strong Heart Study participants free of stroke at baseline were followed from 1989 to 2010 for incident stroke. Overall, 297 stroke cases (179 women) were identified. Cox models with stroke-free time and risk factors recorded at baseline were used to develop stroke risk prediction models. Assessment of the developed stroke risk prediction models regarding discrimination and calibration was performed by an analogous C-statistic (C) and a version of the Hosmer-Lemeshow statistic (HL), respectively, and validated internally through use of Bootstrapping methods. RESULTS Age, smoking status, alcohol consumption, waist circumference, hypertension status, an-tihypertensive therapy, fasting plasma glucose, diabetes medications, high/low density lipoproteins, urinary albumin/creatinine ratio, history of coronary heart disease/heart failure, atrial fibrillation, or Left ventricular hypertrophy, and parental history of stroke were identified as the significant optimal risk factors for incident stroke. DISCUSSION The models produced a C = 0.761 and HL = 4.668 (p = 0.792) for women, and a C = 0.765 and HL = 9.171 (p = 0.328) for men, showing good discrimination and calibration. CONCLUSIONS Our stroke risk prediction models provide a mechanism for stroke risk assessment designed for American Indians. The models may be also useful to other populations with high prevalence of obesity and/or diabetes for screening individuals for risk of incident stroke and designing prevention programs.
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Affiliation(s)
- Wenyu Wang
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Ying Zhang
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Elisa T Lee
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | | | | | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Lyle G Best
- Missouri Breaks Industries Research Inc., Eagle Butte, SD, USA
| | - Thomas K Welty
- Aberdeen Area Tribal Chairmen's Health Board, Rapid City, SD, USA
| | - Everett Rhoades
- College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jeunliang Yeh
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Tauqeer Ali
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | | | - Hooman Kamel
- Weill Cornell Medical College, New York, NY, USA
| | - Nawar Shara
- MedStar Health Research Institute, Hyattsville, MD, USA
| | | | - Julie A Stoner
- College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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15
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Spratlen MJ, Gamble MV, Grau-Perez M, Kuo CC, Best LG, Yracheta J, Francesconi K, Goessler W, Mossavar-Rahmani Y, Hall M, Umans JG, Fretts A, Navas-Acien A. Arsenic metabolism and one-carbon metabolism at low-moderate arsenic exposure: Evidence from the Strong Heart Study. Food Chem Toxicol 2017; 105:387-397. [PMID: 28479390 DOI: 10.1016/j.fct.2017.05.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 05/01/2017] [Accepted: 05/03/2017] [Indexed: 02/06/2023]
Abstract
B-vitamins involved in one-carbon metabolism (OCM) can affect arsenic metabolism efficiency in highly arsenic exposed, undernourished populations. We evaluated whether dietary intake of OCM nutrients (including vitamins B2, B6, folate (B9), and B12) was associated with arsenic metabolism in a more nourished population exposed to lower arsenic than previously studied. Dietary intake of OCM nutrients and urine arsenic was evaluated in 405 participants from the Strong Heart Study. Arsenic exposure was measured as the sum of iAs, monomethylarsonate (MMA) and dimethylarsenate (DMA) in urine. Arsenic metabolism was measured as the individual percentages of each metabolite over their sum (iAs%, MMA%, DMA%). In adjusted models, increasing intake of vitamins B2 and B6 was associated with modest but significant decreases in iAs% and MMA% and increases in DMA%. A significant interaction was found between high folate and B6 with enhanced arsenic metabolism efficiency. Our findings suggest OCM nutrients may influence arsenic metabolism in populations with moderate arsenic exposure. Stronger and independent associations were observed with B2 and B6, vitamins previously understudied in relation to arsenic. Research is needed to evaluate whether targeting B-vitamin intake can serve as a strategy for the prevention of arsenic-related health effects at low-moderate arsenic exposure.
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Affiliation(s)
- Miranda Jones Spratlen
- Department of Environmental Health, Johns Hopkins Bloomberg School of Public Health Department, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Mary V Gamble
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA.
| | - Maria Grau-Perez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA.
| | - Chin-Chi Kuo
- Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, No.91, Hsueh-Shih Road, Taichung 40402, Taiwan; Big Data Center, China Medical University Hospital and China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan.
| | - Lyle G Best
- Missouri Breaks Industries Research, Inc., 118 S. Willow St, Eagle Butte, SD 57625, USA.
| | - Joseph Yracheta
- Missouri Breaks Industries Research, Inc., 118 S. Willow St, Eagle Butte, SD 57625, USA.
| | - Kevin Francesconi
- Institute of Chemistry - Analytical Chemistry, Universitätsplatz 1/1, 8010 Graz, Austria.
| | - Walter Goessler
- Institute of Chemistry - Analytical Chemistry, Universitätsplatz 1/1, 8010 Graz, Austria.
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, USA.
| | - Meghan Hall
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA.
| | - Jason G Umans
- MedStar Health Research Institute, 6525 Belcrest Rd #700, Hyattsville, MD 20782, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, 4000 Reservoir Road, Washington, DC 20007, USA.
| | - Amanda Fretts
- Department of Epidemiology, University of Washington, 1959 NE Pacific Street, Health Sciences Bldg, F-262 Box 357236, Seattle, WA 98195, USA.
| | - Ana Navas-Acien
- Department of Environmental Health, Johns Hopkins Bloomberg School of Public Health Department, 615 N. Wolfe Street, Baltimore, MD, 21205, USA; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA.
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16
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Lee JS, Chang PY, Zhang Y, Kizer JR, Best LG, Howard BV. Triglyceride and HDL-C Dyslipidemia and Risks of Coronary Heart Disease and Ischemic Stroke by Glycemic Dysregulation Status: The Strong Heart Study. Diabetes Care 2017; 40:529-537. [PMID: 28122840 PMCID: PMC5360283 DOI: 10.2337/dc16-1958] [Citation(s) in RCA: 199] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Accepted: 01/02/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE High triglyceride (TG) levels and low HDL cholesterol (HDL-C) levels are risk factors for cardiovascular disease. It is unclear whether this relationship depends on glycemic dysregulation, sex, or LDL cholesterol (LDL-C) level. RESEARCH DESIGN AND METHODS We studied 3,216 participants (40% men, 41% with diabetes) who were free of cardiovascular disease at baseline in a community-based, prospective cohort of American Indians (median follow-up 17.7 years). Cox models estimated hazard ratios (HRs) and 95% CIs for incident ischemic stroke and coronary heart disease (CHD) in relation to combined TG and HDL-C status, where a fasting TG level ≥150 mg/dL was "high" and a fasting HDL-C level <40 mg/dL for men (<50 mg/dL for women) was "low." Models included age, sex, BMI, smoking, diabetes, fasting LDL-C level, antihypertensive medications, physical activity, estimated glomerular filtration rate, and urinary albumin-to-creatinine ratio. RESULTS Participants with high TG and low HDL levels had a 1.32-fold greater HR (95% CI 1.06-1.64) for CHD than those with normal TG and normal HDL levels. It was observed in participants with diabetes, but not in those without diabetes, that high TG plus low HDL levels were associated with a 1.54-fold greater HR (95% CI 1.15-2.06) for CHD (P value for interaction = 0.003) and a 2.13-fold greater HR (95% CI 1.06-4.29) for stroke (P value for interaction = 0.060). High TG and low HDL level was associated with CHD risk in participants with an LDL-C level of ≥130 mg/dL, but this was not observed in those participants with lower LDL-C levels. Sex did not appear to modify these associations. CONCLUSIONS Adults with both high TG and low HDL-C, particularly those with diabetes, have increased risks of incident CHD and stroke. In particular, those with an LDL-C level ≥130 mg/dL may have an increased risk of incident stroke.
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Affiliation(s)
- Jennifer S Lee
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine and (by courtesy) Division of Epidemiology, Department of Health Research & Policy, Stanford University Medical Center, Stanford, CA .,Medical Services, VA Palo Alto Health Care System, Palo Alto, CA
| | - Po-Yin Chang
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine and (by courtesy) Division of Epidemiology, Department of Health Research & Policy, Stanford University Medical Center, Stanford, CA
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jorge R Kizer
- Division of Cardiology, Department of Medicine, and Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Lyle G Best
- Missouri Breaks Industries Research, Inc., Timber Lake, SD
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17
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Ryom L, Lundgren JD, Ross M, Kirk O, Law M, Morlat P, Fontas E, Smit C, Fux CA, Hatleberg CI, de Wit S, Sabin CA, Mocroft A. Renal Impairment and Cardiovascular Disease in HIV-Positive Individuals: The D:A:D Study. J Infect Dis 2016; 214:1212-20. [PMID: 27485357 DOI: 10.1093/infdis/jiw342] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 07/26/2016] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND While the association between renal impairment and cardiovascular disease (CVD) is well established in the general population, the association remains poorly understood in human immunodeficiency virus (HIV)-positive individuals. METHODS Individuals with ≥2 estimated glomerular filtration rate (eGFR) measurements after 1 February 2004 were followed until CVD, death, last visit plus 6 months, or 1 February 2015. CVD was defined as the occurrence of centrally validated myocardial infarction, stroke, invasive cardiovascular procedures, or sudden cardiac death. RESULTS During a median follow-up duration of 8.0 years (interquartile range, 5.4-8.9 years) 1357 of 35 357 individuals developed CVD (incidence rate, 5.2 cases/1000 person-years [95% confidence interval {CI}, 5.0-5.5]). Confirmed baseline eGFR and CVD were closely related with 1.8% of individuals (95% CI, 1.6%-2.0%) with an eGFR > 90 mL/minute/1.73 m(2) estimated to develop CVD at 5 years, increasing to 21.1% (95% CI, 6.6%-35.6%) among those with an eGFR ≤ 30 mL/minute/1.73 m(2) The strong univariate relationship between low current eGFR and CVD was primarily explained by increasing age in adjusted analyses, although all eGFRs ≤ 80 mL/minute/1.73 m(2) remained associated with 30%-40% increased CVD rates, and particularly high CVD rates among individuals with an eGFR ≤ 30 mL/minute/1.73 m(2) (incidence rate ratio, 3.08 [95% CI, 2.04-4.65]). CONCLUSIONS Among HIV-positive individuals in a large contemporary cohort, a strong relation between confirmed impaired eGFR and CVD was observed. This finding highlights the need for renal preventive measures and intensified monitoring for emerging CVD, particularly in older individuals with continuously low eGFRs.
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Affiliation(s)
- Lene Ryom
- Department of Infectious Diseases, CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Denmark
| | - Jens D Lundgren
- Department of Infectious Diseases, CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Denmark
| | - Mike Ross
- Division of Nephrology, Mount Sinai School of Medicine, New York
| | - Ole Kirk
- Department of Infectious Diseases, CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Denmark
| | - Matthew Law
- Kirby Institute, University of New South Wales, Sydney, Australia
| | | | - Eric Fontas
- Nephrology Department, Public Health Department, CHU Nice, France
| | - Colette Smit
- Academic Medical Center, Division of Infectious Diseases Department of Global Health, University of Amsterdam HIV Monitoring Foundation, Amsterdam, The Netherlands
| | - Christoph A Fux
- Clinic for Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Switzerland
| | - Camilla I Hatleberg
- Department of Infectious Diseases, CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Denmark
| | - Stéphane de Wit
- Department of Infectious Diseases, CHU Saint-Pierre, Brussels, Belgium
| | - Caroline A Sabin
- Research Department of Infection and Population Health, University College London, United Kingdom
| | - Amanda Mocroft
- Research Department of Infection and Population Health, University College London, United Kingdom
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18
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Zheng LY, Umans JG, Yeh F, Francesconi KA, Goessler W, Silbergeld EK, Bandeen-Roche K, Guallar E, Howard BV, Weaver VM, Navas-Acien A. The association of urine arsenic with prevalent and incident chronic kidney disease: evidence from the Strong Heart Study. Epidemiology 2015; 26:601-12. [PMID: 25929811 PMCID: PMC4844343 DOI: 10.1097/ede.0000000000000313] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Few studies have evaluated associations between low to moderate arsenic levels and chronic kidney disease (CKD). The objective was to evaluate the associations of inorganic arsenic exposure with prevalent and incident CKD in American Indian adults. METHODS We evaluated the associations of inorganic arsenic exposure with CKD in American Indians who participated in the Strong Heart Study in 3,851 adults ages 45-74 years in a cross-sectional analysis, and 3,119 adults with follow-up data in a prospective analysis. Inorganic arsenic, monomethylarsonate, and dimethylarsinate were measured in urine at baseline. CKD was defined as estimated glomerular filtration rate ≤ 60 ml/min/1.73 m, kidney transplant or dialysis. RESULTS CKD prevalence was 10.3%. The median (IQR) concentration of inorganic plus methylated arsenic species (total arsenic) in urine was 9.7 (5.8, 15.7) μg/L. The adjusted odds ratio (OR; 95% confidence interval) of prevalent CKD for an interquartile range in total arsenic was 0.7 (0.6, 0.8), mostly due to an inverse association with inorganic arsenic (OR: 0.4 [0.3, 0.4]). Monomethylarsonate and dimethylarsinate were positively associated with prevalent CKD after adjustment for inorganic arsenic (OR: 3.8 and 1.8). The adjusted hazard ratio of incident CKD for an IQR in sum of inorganic and methylated arsenic was 1.2 (1.03, 1.41). The corresponding HRs for inorganic arsenic, monomethylarsonate, and dimethylarsinate were 1.0 (0.9, 1.2), 1.2 (1.00, 1.3), and 1.2 (1.0, 1.4). CONCLUSIONS The inverse association of urine inorganic arsenic with prevalent CKD suggests that kidney disease affects excretion of inorganic arsenic. Arsenic species were positively associated with incident CKD. Studies with repeated measures are needed to further characterize the relation between arsenic and kidney disease development.
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Affiliation(s)
- Laura Y. Zheng
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jason G. Umans
- MedStar Health Research Institute and Georgetown University, Washington DC, USA
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington DC, USA
| | - Fawn Yeh
- College of Public Health, University of Oklahoma, Oklahoma City, OK, USA
| | - Kevin A. Francesconi
- Institute of Chemistry – Analytical Chemistry, Karl-Franzens University, Graz, Austria
| | - Walter Goessler
- Institute of Chemistry – Analytical Chemistry, Karl-Franzens University, Graz, Austria
| | - Ellen K Silbergeld
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Karen Bandeen-Roche
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Area of Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain
- Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Barbara V. Howard
- MedStar Health Research Institute and Georgetown University, Washington DC, USA
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington DC, USA
| | - Virginia M. Weaver
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Area of Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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19
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Laston SL, Voruganti VS, Haack K, Shah VO, Bobelu A, Bobelu J, Ghahate D, Harford AM, Paine SS, Tentori F, Cole SA, MacCluer JW, Comuzzie AG, Zager PG. Genetics of kidney disease and related cardiometabolic phenotypes in Zuni Indians: the Zuni Kidney Project. Front Genet 2015; 6:6. [PMID: 25688259 PMCID: PMC4311707 DOI: 10.3389/fgene.2015.00006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 01/08/2015] [Indexed: 12/31/2022] Open
Abstract
The objective of this study is to identify genetic factors associated with chronic kidney disease (CKD) and related cardiometabolic phenotypes among participants of the Genetics of Kidney Disease in Zuni Indians study. The study was conducted as a community-based participatory research project in the Zuni Indians, a small endogamous tribe in rural New Mexico. We recruited 998 members from 28 extended multigenerational families, ascertained through probands with CKD who had at least one sibling with CKD. We used the Illumina Infinium Human1M-Duo version 3.0 BeadChips to type 1.1 million single nucleotide polymorphisms (SNPs). Prevalence estimates for CKD, hyperuricemia, diabetes, and hypertension were 24%, 30%, 17% and 34%, respectively. We found a significant (p < 1.58 × 10-7) association for a SNP in a novel gene for serum creatinine (PTPLAD2). We replicated significant associations for genes with serum uric acid (SLC2A9), triglyceride levels (APOA1, BUD13, ZNF259), and total cholesterol (PVRL2). We found novel suggestive associations (p < 1.58 × 10-6) for SNPs in genes with systolic (OLFML2B), and diastolic blood pressure (NFIA). We identified a series of genes associated with CKD and related cardiometabolic phenotypes among Zuni Indians, a population with a high prevalence of kidney disease. Illuminating genetic variations that modulate the risk for these disorders may ultimately provide a basis for novel preventive strategies and therapeutic interventions.
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Affiliation(s)
- Sandra L Laston
- South Texas Diabetes and Obesity Institute, Regional Academic Health Center, University of Texas at San Antonio Harlingen, TX, USA
| | - V Saroja Voruganti
- Department of Nutrition, University of North Carolina at Chapel Hill Kannapolis, NC, USA ; University of North Carolina Nutrition Research Institute, University of North Carolina at Chapel Hill Kannapolis, NC, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Vallabh O Shah
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Arlene Bobelu
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Jeanette Bobelu
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Donica Ghahate
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | - Antonia M Harford
- Department of Biochemistry, University of New Mexico School of Medicine Albuquerque, NM, USA
| | | | | | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Jean W MacCluer
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Southwest National Primate Research Center San Antonio, TX, USA
| | - Philip G Zager
- Dialysis Clinic, Inc., Albuquerque, NM USA ; Department of Medicine, Division of Nephrology, University of New Mexico School of Medicine Albuquerque, NM, USA
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20
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Risk Stratification for In-Hospital Mortality After Heart Transplantation Using the Modification of Diet in Renal Disease and the Chronic Kidney Disease Epidemiology Collaboration Equations for Estimated Glomerular Filtration Rate. Transplantation 2014; 98:1000-6. [DOI: 10.1097/tp.0000000000000151] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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21
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Doğaner YÇ, Aydoğan Ü, Rohrer JE, Aydoğdu A, Çaycı T, Barçın C, Sağlam K. Comparison of estimated GFR equations based on serum cystatin C alone and in combination with serum creatinine in patients with coronary artery disease. Anatol J Cardiol 2014; 15:571-6. [PMID: 25537999 PMCID: PMC5337038 DOI: 10.5152/akd.2014.5535] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE Several new equations (GFRCKD-EPI-cr, GFRCKD-EPI-CysC, GFRCKD-EPI Cr+CysC) are used for the calculation of estimated GFR (eGFR) to evaluate renal function. These equations explicitly demonstrate the association of coronary artery disease (CAD) and severe renal impairment cases. However, these equations are considered insufficient to explain the relation with normal or mildly impaired eGFR and CAD. Our hypothesis was to indicate the inversely proportional relationship of eGFR values, calculated by the different equations, with the presence of CAD in patients with normal or mildly impaired renal function. METHODS Eighty-eight patients who underwent elective coronary angiographic intervention were enrolled into the study. The study population was divided into two groups based on angiographic documents: patients with normal coronary arteries (CAD-) and patients with CAD (CAD +). These patients were stable and decided to implement angiography for the purpose of suspicion about CAD and control. Since it is thought that eGFR equations based on creatinine are inadequate to determine chronic kidney disease (CKD) and overestimate CKD diagnosis, cystatin C-based equations are considered an alternative. Due to the potential effects of inflammatory events of the markers used in equations, patients with diabetes mellitus, severe CKD, and inflammatory bowel disease were excluded from the study. RESULTS The average age of all participants was 51.93±9.31 (32-65 years); 80.7% (n=71) was male. A statistical difference was found between the CAD (-) group and the CAD (+) group in terms of the variables of age (45.46±8.48 vs. 54.95±8.11, p<0.001), gender (67.9% vs. 86.7%, male, p=0.037), cystatin C values (1.37±0.34 vs. 0.85±0.39, p<0.001), and GFR equations defined by the Chronic Kidney Disease Epidemiology: GFRCKD-EPI-cr (85.86±14.20 vs. 79.45±10.25, p=0.018), GFRCKD-EPI-CysC (58.61±21.87 vs. 100.82±32.00, p<0.001), and GFRCKD-EPI Cr+CysC (68.29±13.49 vs. 90.75±18.34, p<0.001). After adjustment of the variables in multiple regression analyses, only age (OR, 1.199; 95% CI, 1.077 to 1.335, p=0.001), gender (OR, 8.252; 95% CI, 0.223 to 55.659, p=0.030), and the GFRCKD-EPI-CysC equation (OR, 1.059; 95% CI, 1.028 to 1.090, p<0.001) were detected as predictors for presence of CAD. CONCLUSION GFR equations based on cystatin C or combined with creatinine may have superiority to GFR equations based on creatinine alone in CAD patients. However, the impact of different variables on the GFRCKD-EPI-CysC equation should not be ignored in specific groups, such as CAD.
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22
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Voruganti VS, Franceschini N, Haack K, Laston S, MacCluer JW, Umans JG, Comuzzie AG, North KE, Cole SA. Replication of the effect of SLC2A9 genetic variation on serum uric acid levels in American Indians. Eur J Hum Genet 2013; 22:938-43. [PMID: 24301058 DOI: 10.1038/ejhg.2013.264] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 10/08/2013] [Accepted: 10/18/2013] [Indexed: 12/21/2022] Open
Abstract
Increased serum uric acid (SUA) or hyperuricemia, a risk factor for gout, renal and cardiovascular diseases, is caused by either increased production or decreased excretion of uric acid or a mix of both. The solute carrier protein 2 family, member 9 (SLC2A9) gene encodes a transporter that mediates urate flux across the renal proximal tubule. Genome-wide association studies have consistently shown the association of single-nucleotide polymorphisms in this gene with SUA in majority populations. American Indian participants of the Strong Heart Family Study, belonging to multigenerational families, have high prevalence of hyperuricemia. We conducted measured genotype analyses, based on variance components decomposition method and accounting for family relationships, to assess whether the association between SUA and SLC2A9 gene polymorphisms generalized to American Indians (n=3604) of this study. Seven polymorphisms were selected for genotyping based on their association with SUA levels in other populations. A strong association was found between SLC2A9 gene polymorphisms and SUA in all centers combined (P-values: 1.3 × 10(-31)-5.1 × 10(-23)) and also when stratified by recruitment center; P-values: 1.2 × 10(-14)-1.0 × 10(-5). These polymorphisms were also associated with the estimated glomerular filtration rate and serum creatinine but not albumin-creatinine ratio. In summary, the association of polymorphisms in the uric acid transporter gene with SUA levels extends to a new population of American Indians.
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Affiliation(s)
- V Saroja Voruganti
- 1] Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA [2] Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Karin Haack
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Sandra Laston
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Jean W MacCluer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Jason G Umans
- 1] Medstar Health Research Institute, Hyattsville, MD, USA [2] Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Kari E North
- 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
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Lewington AJP, Cerdá J, Mehta RL. Raising awareness of acute kidney injury: a global perspective of a silent killer. Kidney Int 2013; 84:457-67. [PMID: 23636171 PMCID: PMC3758780 DOI: 10.1038/ki.2013.153] [Citation(s) in RCA: 528] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Revised: 02/05/2013] [Accepted: 02/07/2013] [Indexed: 12/15/2022]
Abstract
Worldwide, acute kidney injury (AKI) is associated with poor patient outcomes. Over the last few years, collaborative efforts, enabled by a common definition of AKI, have provided a description of the epidemiology, natural history, and outcomes of this disease and improved our understanding of the pathophysiology. There is increased recognition that AKI is encountered in multiple settings and in all age groups, and that its course and outcomes are influenced by the severity and duration of the event. The effect of AKI on an individual patient and the resulting societal burden that ensues from the long-term effects of the disease, including development of chronic kidney disease (CKD) and end-stage renal disease (ESRD), is attracting increasing scrutiny. There is evidence of marked variation in the management of AKI, which is, to a large extent, due to a lack of awareness and an absence of standards for prevention, early recognition, and intervention. These emerging data point to an urgent need for a global effort to highlight that AKI is preventable, its course is modifiable, and its treatment can improve outcomes. In this article, we provide a framework of reference and propose specific strategies to raise awareness of AKI globally, with the goal to ultimately improve outcomes from this devastating disease.
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Affiliation(s)
| | - Jorge Cerdá
- Department of Medicine, Albany Medical College, Albany, New York, USA
| | - Ravindra L Mehta
- Department of Medicine, University of California San Diego, San Diego CA, USA
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24
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Zheng LY, Umans JG, Tellez-Plaza M, Yeh F, Francesconi KA, Goessler W, Silbergeld EK, Guallar E, Howard BV, Weaver VM, Navas-Acien A. Urine arsenic and prevalent albuminuria: evidence from a population-based study. Am J Kidney Dis 2012; 61:385-94. [PMID: 23142528 DOI: 10.1053/j.ajkd.2012.09.011] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2012] [Accepted: 09/27/2012] [Indexed: 12/31/2022]
Abstract
BACKGROUND Long-term arsenic exposure is a major global health problem. However, few epidemiologic studies have evaluated the association of arsenic with kidney measures. Our objective was to evaluate the cross-sectional association between inorganic arsenic exposure and albuminuria in American Indian adults from rural areas of Arizona, Oklahoma, and North and South Dakota. STUDY DESIGN Cross-sectional. SETTING & PARTIPANTS: Strong Heart Study locations in Arizona, Oklahoma, and North and South Dakota. 3,821 American Indian men and women aged 45-74 years with urine arsenic and albumin measurements. PREDICTOR Urine arsenic. OUTCOMES Urine albumin-creatinine ratio and albuminuria status. MEASUREMENTS Arsenic exposure was estimated by measuring total urine arsenic and urine arsenic species using inductively coupled plasma mass spectrometry (ICPMS) and high-performance liquid chromatography-ICPMS, respectively. Urine albumin was measured by automated nephelometric immunochemistry. RESULTS The prevalence of albuminuria (albumin-creatinine ratio ≥30 mg/g) was 30%. Median value for the sum of inorganic and methylated arsenic species was 9.7 (IQR, 5.8-15.6) μg per gram of creatinine. Multivariable-adjusted prevalence ratios of albuminuria (albumin-creatinine ratio ≥30 mg/g) comparing the 3 highest to lowest quartiles of the sum of inorganic and methylated arsenic species were 1.16 (95% CI, 1.00-1.34), 1.24 (95% CI, 1.07-1.43), and 1.55 (95% CI, 1.35-1.78), respectively (P for trend <0.001). The association between urine arsenic and albuminuria was observed across all participant subgroups evaluated and was evident for both micro- and macroalbuminuria. LIMITATIONS The cross-sectional design cannot rule out reverse causation. CONCLUSIONS Increasing urine arsenic concentrations were cross-sectionally associated with increased albuminuria in a rural US population with a high burden of diabetes and obesity. Prospective epidemiologic and mechanistic evidence is needed to understand the role of arsenic as a kidney disease risk factor.
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Affiliation(s)
- Laura Y Zheng
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
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