Literature DB >> 32747424

Integrative Omics Analyses Reveal Epigenetic Memory in Diabetic Renal Cells Regulating Genes Associated With Kidney Dysfunction.

Anita Bansal1, Sreeram Balasubramanian2, Sangeeta Dhawan3, Amy Leung1, Zhen Chen1, Rama Natarajan4.   

Abstract

Diabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end-stage renal failure. Epigenetics has been associated with metabolic memory in which prior periods of hyperglycemia enhance the future risk of developing DKD despite subsequent glycemic control. To understand the mechanistic role of such epigenetic memory in human DKD and to identify new therapeutic targets, we profiled gene expression, DNA methylation, and chromatin accessibility in kidney proximal tubule epithelial cells (PTECs) derived from subjects with and without type 2 diabetes (T2D). T2D-PTECs displayed persistent gene expression and epigenetic changes with and without transforming growth factor-β1 treatment, even after culturing in vitro under similar conditions as nondiabetic PTECs, signified by deregulation of fibrotic and transport-associated genes (TAGs). Motif analysis of differential DNA methylation and chromatin accessibility regions associated with genes differentially regulated in T2D revealed enrichment for SMAD3, HNF4A, and CTCF transcription factor binding sites. Furthermore, the downregulation of several TAGs in T2D (including CLDN10, CLDN14, CLDN16, SLC16A2, and SLC16A5) was associated with promoter hypermethylation, decreased chromatin accessibility, and reduced enrichment of HNF4A, histone H3-lysine-27-acetylation, and CTCF. Together, these integrative analyses reveal epigenetic memory underlying the deregulation of key target genes in T2D-PTECs that may contribute to sustained renal dysfunction in DKD.
© 2020 by the American Diabetes Association.

Entities:  

Year:  2020        PMID: 32747424      PMCID: PMC7576555          DOI: 10.2337/db20-0382

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  51 in total

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Authors:  Mitsuo Kato; Rama Natarajan
Journal:  Nat Rev Nephrol       Date:  2019-06       Impact factor: 28.314

Review 2.  Physiological roles of claudins in kidney tubule paracellular transport.

Authors:  Shigeaki Muto
Journal:  Am J Physiol Renal Physiol       Date:  2016-10-26

Review 3.  Claudins and the kidney.

Authors:  Alan S L Yu
Journal:  J Am Soc Nephrol       Date:  2014-06-19       Impact factor: 10.121

4.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

Authors:  Sven Heinz; Christopher Benner; Nathanael Spann; Eric Bertolino; Yin C Lin; Peter Laslo; Jason X Cheng; Cornelis Murre; Harinder Singh; Christopher K Glass
Journal:  Mol Cell       Date:  2010-05-28       Impact factor: 17.970

5.  Methylation determines fibroblast activation and fibrogenesis in the kidney.

Authors:  Wibke Bechtel; Scott McGoohan; Elisabeth M Zeisberg; Gerhard A Müller; Hubert Kalbacher; David J Salant; Claudia A Müller; Raghu Kalluri; Michael Zeisberg
Journal:  Nat Med       Date:  2010-04-25       Impact factor: 53.440

6.  HNF4α regulates claudin-7 protein expression during intestinal epithelial differentiation.

Authors:  Attila E Farkas; Roland S Hilgarth; Christopher T Capaldo; Christian Gerner-Smidt; Doris R Powell; Paula M Vertino; Michael Koval; Charles A Parkos; Asma Nusrat
Journal:  Am J Pathol       Date:  2015-08       Impact factor: 4.307

7.  Comparison of Kidney Transcriptomic Profiles of Early and Advanced Diabetic Nephropathy Reveals Potential New Mechanisms for Disease Progression.

Authors:  Ying Fan; Zhengzi Yi; Vivette D D'Agati; Zeguo Sun; Fang Zhong; Weijia Zhang; Jiejun Wen; Ting Zhou; Ze Li; Li He; Qunzi Zhang; Kyung Lee; John Cijiang He; Niansong Wang
Journal:  Diabetes       Date:  2019-10-02       Impact factor: 9.461

8.  Model-based analysis of ChIP-Seq (MACS).

Authors:  Yong Zhang; Tao Liu; Clifford A Meyer; Jérôme Eeckhoute; David S Johnson; Bradley E Bernstein; Chad Nusbaum; Richard M Myers; Myles Brown; Wei Li; X Shirley Liu
Journal:  Genome Biol       Date:  2008-09-17       Impact factor: 13.583

9.  Human Kidney Tubule-Specific Gene Expression Based Dissection of Chronic Kidney Disease Traits.

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Journal:  EBioMedicine       Date:  2017-09-18       Impact factor: 8.143

10.  The single-cell transcriptomic landscape of early human diabetic nephropathy.

Authors:  Parker C Wilson; Haojia Wu; Yuhei Kirita; Kohei Uchimura; Nicolas Ledru; Helmut G Rennke; Paul A Welling; Sushrut S Waikar; Benjamin D Humphreys
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-10       Impact factor: 11.205

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  6 in total

Review 1.  Epigenetic modifications in metabolic memory: What are the memories, and can we erase them?

Authors:  Zhuo Chen; Rama Natarajan
Journal:  Am J Physiol Cell Physiol       Date:  2022-07-04       Impact factor: 5.282

2.  Mapping the single-cell transcriptomic response of murine diabetic kidney disease to therapies.

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3.  Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer.

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Review 4.  Perspectives in systems nephrology.

Authors:  Maja T Lindenmeyer; Fadhl Alakwaa; Michael Rose; Matthias Kretzler
Journal:  Cell Tissue Res       Date:  2021-05-24       Impact factor: 4.051

Review 5.  Epigenetic memory contributing to the pathogenesis of AKI-to-CKD transition.

Authors:  Fumiaki Tanemoto; Masaomi Nangaku; Imari Mimura
Journal:  Front Mol Biosci       Date:  2022-09-21

6.  Epigenetic Mechanisms in Diabetic Vascular Complications and Metabolic Memory: The 2020 Edwin Bierman Award Lecture.

Authors:  Rama Natarajan
Journal:  Diabetes       Date:  2021-02       Impact factor: 9.461

  6 in total

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