Literature DB >> 29709239

Cytosine methylation predicts renal function decline in American Indians.

Chengxiang Qiu1, Robert L Hanson2, Gudeta Fufaa3, Sayuko Kobes3, Caroline Gluck1, Jing Huang4, Yong Chen4, Dominic Raj5, Robert G Nelson3, William C Knowler3, Katalin Susztak1.   

Abstract

Diabetic nephropathy accounts for most of the excess mortality in individuals with diabetes, but the molecular mechanisms by which nephropathy develops are largely unknown. Here we tested cytosine methylation levels at 397,063 genomic CpG sites for association with decline in the estimated glomerular filtration rate (eGFR) over a six year period in 181 diabetic Pima Indians. Methylation levels at 77 sites showed significant association with eGFR decline after correction for multiple comparisons. A model including methylation level at two probes (cg25799291 and cg22253401) improved prediction of eGFR decline in addition to baseline eGFR and the albumin to creatinine ratio with the percent of variance explained significantly improving from 23.1% to 42.2%. Cg22253401 was also significantly associated with eGFR decline in a case-control study derived from the Chronic Renal Insufficiency Cohort. Probes at which methylation significantly associated with eGFR decline were localized to gene regulatory regions and enriched for genes with metabolic functions and apoptosis. Three of the 77 probes that were associated with eGFR decline in blood samples showed directionally consistent and significant association with fibrosis in microdissected human kidney tissue, after correction for multiple comparisons. Thus, cytosine methylation levels may provide biomarkers of disease progression in diabetic nephropathy and epigenetic variations contribute to the development of diabetic kidney disease. Published by Elsevier Inc.

Entities:  

Keywords:  diabetic nephropathy; gene expression

Mesh:

Substances:

Year:  2018        PMID: 29709239      PMCID: PMC5973533          DOI: 10.1016/j.kint.2018.01.036

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  53 in total

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  18 in total

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2.  Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease.

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Review 3.  Epigenetics and Type 2 Diabetes Risk.

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Journal:  Curr Diab Rep       Date:  2019-06-27       Impact factor: 4.810

Review 4.  Epigenetics in kidney diseases.

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5.  Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease.

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Review 7.  Cytosine Methylation Studies in Patients with Diabetic Kidney Disease.

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Review 8.  Unravelling the complex genetics of common kidney diseases: from variants to mechanisms.

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9.  Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease.

Authors:  Caroline Gluck; Chengxiang Qiu; Sang Youb Han; Matthew Palmer; Jihwan Park; Yi-An Ko; Yuting Guan; Xin Sheng; Robert L Hanson; Jing Huang; Yong Chen; Ae Seo Deok Park; Maria Concepcion Izquierdo; Ioannis Mantzaris; Amit Verma; James Pullman; Hongzhe Li; Katalin Susztak
Journal:  Nat Commun       Date:  2019-06-05       Impact factor: 14.919

Review 10.  Protective factors as biomarkers and targets for prevention and treatment of diabetic nephropathy: From current human evidence to future possibilities.

Authors:  Natalia Nowak
Journal:  J Diabetes Investig       Date:  2020-05-06       Impact factor: 4.232

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