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Qin Z, Chang K, Yang Q, Yu Q, Liao R, Su B. The association between weight-adjusted-waist index and increased urinary albumin excretion in adults: A population-based study. Front Nutr 2022; 9:941926. [PMID: 36034904 PMCID: PMC9412203 DOI: 10.3389/fnut.2022.941926] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/25/2022] [Indexed: 11/14/2022] Open
Abstract
Aims The negative effect of obesity on kidney health has been reported. The association between weight-adjusted-waist index (WWI, a newly developed adiposity index) and albuminuria has not been reported earlier. Methods This cross-sectional study was conducted among adults with complete data about WWI and urinary albumin-to-creatinine ratio (ACR) in 2005–2018 National Health and Nutrition Examination Survey (NHANES). WWI was calculated as waist circumference (WC) divided by the square root of weight. Weighted multivariable logistic regression and generalized additive model were employed to explore the independent relationship between WWI with albuminuria and its non-linearity. A two-piecewise linear regression model was used to calculate the threshold effect. Subgroup analysis and interaction tests were also performed. Results A total of 36,921 participants were enrolled with a prevalence of albuminuria of 9.32%. The prevalence of albuminuria increased with the higher WWI tertiles (Tertile 1: 5.31%, Tertile 2: 8.23%, Tertile 3: 15.65%). WWI was positively associated with a higher likelihood of albuminuria (OR = 1.28, 95% CI: 1.15–1.43), and this relationship remains stable in subgroups (all P for trend > 0.05). Non-linear positive relationships were detected in females with a breakpoint of 10.93. A positive association between WWI and albuminuria (OR = 1.39, 95% CI: 1.20–1.61) was observed on the right of the breakpoint, while the association on the left was of no statistical significance. WWI showed a stronger correlation with albuminuria (OR = 1.28) than other markers of obesity including body mass index (BMI, OR = 1.02) and WC (OR = 1.01). Conclusion Weight-adjusted-waist index levels were positively related to an increased likelihood of albuminuria in United States adults and showed a stronger relationship than BMI and WC. Our findings indicated that WWI may serve as a simple anthropometric index to predict albuminuria.
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Affiliation(s)
- Zheng Qin
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
| | - Kaixi Chang
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
| | - Qinbo Yang
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
| | - Qiao Yu
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
| | - Ruoxi Liao
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
| | - Baihai Su
- Department of Nephrology, National Clinical Research Center for Geriatrics, Med-X Center for Materials, West China Hospital, Sichuan University, Chengdu, China.,Med+ Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China
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Bayoumy NMK, El-Shabrawi MM, Leheta OF, Abo El-Ela AEDM, Omar HH. Association of ELMO1 gene polymorphism and diabetic nephropathy among Egyptian patients with type 2 diabetes mellitus. Diabetes Metab Res Rev 2020; 36:e3299. [PMID: 32043290 DOI: 10.1002/dmrr.3299] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/04/2020] [Accepted: 01/22/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND OBJECTIVE Diabetic nephropathy (DN) is the most common cause of end stage renal failure or even death among patients with type 2 diabetes mellitus. Genetic predisposition is widely studied among these patients to identify manageable aspects of the disease pathogenesis. This study was carried out to test the association of engulfment and cell motility 1 (ELMO1) gene polymorphism with DN among Egyptians. ELMO1 is required for phagocytosis of apoptotic cells and cell motility. METHODS This case-control study was conducted on type 2 diabetic patients who attended Suez Canal University Hospital, Egypt, between November 2016 and October 2017. Peripheral blood was collected from 200 diabetic patients (without nephropathy), 200 patients with DN, and 100 healthy controls for DNA extraction. The single nucleotide polymorphism of ELMO1 (rs741301) was genotyped using real-time polymerase chain reaction and the allele discrimination technique. RESULTS GG genotype was significantly associated with DN (odds ratio [OR] = 2.7; 95% confidence interval [CI]: 1.4-5.3) (P = .016). The OR for the high-risk allele (G) was 1.9 with 95% CI from 1.5 to 2.9 (P < .001). CONCLUSION ELMO1 gene (rs741301) polymorphism is a candidate variant in the predisposition to DN.
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Affiliation(s)
- Nervana M K Bayoumy
- Physiology Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Mohamed M El-Shabrawi
- Clinical and Chemical Pathology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Ola F Leheta
- Clinical and Chemical Pathology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Alaa El-Din M Abo El-Ela
- Clinical and Chemical Pathology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Hamdy H Omar
- Internal Medicine Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
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Mehrabzadeh M, Pasalar P, Karimi M, Abdollahi M, Daneshpour M, Asadolahpour E, Razi F. Association between ELMO1 gene polymorphisms and diabetic nephropathy in an Iranian population. J Diabetes Metab Disord 2016; 15:43. [PMID: 27761430 PMCID: PMC5055690 DOI: 10.1186/s40200-016-0265-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 09/29/2016] [Indexed: 01/01/2023]
Abstract
BACKGROUND Diabetic nephropathy (DN) is one of the leading causes of death in patients with type 2 diabetes mellitus (T2DM). Several genome-wide association studies have introduced Engulfment and Cell Motility 1 (ELMO1) as a candidate gene which is associated with DN. This study assessed the association of ELMO1 gene polymorphisms with DN in order to investigate the effects of ELMO1 gene on susceptibility to DN in an Iranian population. METHODS In the present study, 100 patients with T2DM, 100 patients with DN and 100 healthy subjects who were matched for sex were selected. Allele and genotype frequencies were determined by Tetra-ARMS PCR technique. In all groups, levels of FBS, creatinine, urea, HbA1C, urine levels of albumin creatinine ratio and glomerular filtration rate were measured. RESULTS A statistically significant association was shown between G allele of rs741301 (odds ratio (OR) = 1.7 [95 % CI 1.17-2.63]; p value = 0.005), and GG genotypes of rs741301 (OR = 2.5 [95 % CI 1.2-5.4]; p value = 0.01) and DN. A significant association was not detected between allelic and genotypic frequencies of rs1345365 and DN. Linkage Disequilibrium (LD) between two variants was weak (D' = 0.11, r2 = 0.008). rs1345365A/rs741301A haplotypes were more frequent in patients with T2DM as compared to DN (OR = 0.5 [95 % CI 0.3-0.7]; p value = 0.0006). Also, genotypes of variant rs741301 in all subjects had significant difference with respect to the mean of ACR (p Value < 0.05). CONCLUSION This study first investigated the association of ELMO1 gene polymorphisms (rs741301) with DN in an Iranian population, supporting its key role as a candidate gene in the susceptibility to DN.
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Affiliation(s)
- Mohsen Mehrabzadeh
- Department of Medical Biochemistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvin Pasalar
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Science Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Karimi
- Department of Medical Biochemistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Abdollahi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, 1411413137 Iran
| | - Maryam Daneshpour
- Endocrinology and Metabolism Clinical Sciences Institute, Shahid beheshti University of Medical Sciences, Tehran, Iran
| | - Effat Asadolahpour
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, 1411413137 Iran
| | - Farideh Razi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, 1411413137 Iran
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Abstract
The global prevalence of diabetic nephropathy is rising in parallel with the increasing incidence of diabetes in most countries. Unfortunately, up to 40 % of persons diagnosed with diabetes may develop kidney complications. Diabetic nephropathy is associated with substantially increased risks of cardiovascular disease and premature mortality. An inherited susceptibility to diabetic nephropathy exists, and progress is being made unravelling the genetic basis for nephropathy thanks to international research collaborations, shared biological resources and new analytical approaches. Multiple epidemiological studies have highlighted the clinical heterogeneity of nephropathy and the need for better phenotyping to help define important subgroups for analysis and increase the power of genetic studies. Collaborative genome-wide association studies for nephropathy have reported unique genes, highlighted novel biological pathways and suggested new disease mechanisms, but progress towards clinically relevant risk prediction models for diabetic nephropathy has been slow. This review summarises the current status, recent developments and ongoing challenges elucidating the genetics of diabetic nephropathy.
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Affiliation(s)
- Amy Jayne McKnight
- Nephrology Research Group, Centre for Public Health, Queen's University Belfast, c/o Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK,
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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: 0.8] [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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