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Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes

Authors :
Ishant Khurana
Harikrishnan Kaipananickal
Scott Maxwell
Sørine Birkelund
Anna Syreeni
Carol Forsblom
Jun Okabe
Mark Ziemann
Antony Kaspi
Haloom Rafehi
Anne Jørgensen
Keith Al-Hasani
Merlin C. Thomas
Guozhi Jiang
Andrea O.Y. Luk
Heung Man Lee
Yu Huang
Yotsapon Thewjitcharoen
Soontaree Nakasatien
Thep Himathongkam
Christopher Fogarty
Rachel Njeim
Assaad Eid
Tine Willum Hansen
Nete Tofte
Evy C. Ottesen
Ronald C.W. Ma
Juliana C.N. Chan
Mark E. Cooper
Peter Rossing
Per-Henrik Groop
Assam El-Osta
Source :
The Journal of Clinical Investigation, Vol 133, Iss 4 (2023)
Publication Year :
2023
Publisher :
American Society for Clinical Investigation, 2023.

Abstract

Diabetic nephropathy (DN) is a polygenic disorder with few risk variants showing robust replication in large-scale genome-wide association studies. To understand the role of DNA methylation, it is important to have the prevailing genomic view to distinguish key sequence elements that influence gene expression. This is particularly challenging for DN because genome-wide methylation patterns are poorly defined. While methylation is known to alter gene expression, the importance of this causal relationship is obscured by array-based technologies since coverage outside promoter regions is low. To overcome these challenges, we performed methylation sequencing using leukocytes derived from participants of the Finnish Diabetic Nephropathy (FinnDiane) type 1 diabetes (T1D) study (n = 39) that was subsequently replicated in a larger validation cohort (n = 296). Gene body–related regions made up more than 60% of the methylation differences and emphasized the importance of methylation sequencing. We observed differentially methylated genes associated with DN in 3 independent T1D registries originating from Denmark (n = 445), Hong Kong (n = 107), and Thailand (n = 130). Reduced DNA methylation at CTCF and Pol2B sites was tightly connected with DN pathways that include insulin signaling, lipid metabolism, and fibrosis. To define the pathophysiological significance of these population findings, methylation indices were assessed in human renal cells such as podocytes and proximal convoluted tubule cells. The expression of core genes was associated with reduced methylation, elevated CTCF and Pol2B binding, and the activation of insulin-signaling phosphoproteins in hyperglycemic cells. These experimental observations also closely parallel methylation-mediated regulation in human macrophages and vascular endothelial cells.

Subjects

Subjects :
Metabolism
Nephrology
Medicine

Details

Language :
English
ISSN :
15588238
Volume :
133
Issue :
4
Database :
Directory of Open Access Journals
Journal :
The Journal of Clinical Investigation
Publication Type :
Academic Journal
Accession number :
edsdoj.64117e1fe4b8440bb9cf852ef9a65858
Document Type :
article
Full Text :
https://doi.org/10.1172/JCI160959