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The epigenetic signature of systemic insulin resistance in obese women

AIMS/HYPOTHESIS: Insulin resistance (IR) links obesity to type 2 diabetes. The aim of this study was to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by genome-wide CG dinucleotide (CpG) methylation and gene expression profiling in WAT from insuli...

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Autores principales: Arner, Peter, Sahlqvist, Anna-Stina, Sinha, Indranil, Xu, Huan, Yao, Xiang, Waterworth, Dawn, Rajpal, Deepak, Loomis, A. Katrina, Freudenberg, Johannes M., Johnson, Toby, Thorell, Anders, Näslund, Erik, Ryden, Mikael, Dahlman, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506095/
https://www.ncbi.nlm.nih.gov/pubmed/27535281
http://dx.doi.org/10.1007/s00125-016-4074-5
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author Arner, Peter
Sahlqvist, Anna-Stina
Sinha, Indranil
Xu, Huan
Yao, Xiang
Waterworth, Dawn
Rajpal, Deepak
Loomis, A. Katrina
Freudenberg, Johannes M.
Johnson, Toby
Thorell, Anders
Näslund, Erik
Ryden, Mikael
Dahlman, Ingrid
author_facet Arner, Peter
Sahlqvist, Anna-Stina
Sinha, Indranil
Xu, Huan
Yao, Xiang
Waterworth, Dawn
Rajpal, Deepak
Loomis, A. Katrina
Freudenberg, Johannes M.
Johnson, Toby
Thorell, Anders
Näslund, Erik
Ryden, Mikael
Dahlman, Ingrid
author_sort Arner, Peter
collection PubMed
description AIMS/HYPOTHESIS: Insulin resistance (IR) links obesity to type 2 diabetes. The aim of this study was to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by genome-wide CG dinucleotide (CpG) methylation and gene expression profiling in WAT from insulin-resistant and insulin-sensitive women. A secondary aim was to determine whether the DNA methylation signature in peripheral blood mononuclear cells (PBMCs) reflects WAT methylation and, if so, can be used as a marker for systemic IR. METHODS: From 220 obese women, we selected a total of 80 individuals from either of the extreme ends of the distribution curve of HOMA-IR, an indirect measure of systemic insulin sensitivity. Genome-wide transcriptome and DNA CpG methylation profiling by array was performed on subcutaneous (SAT) and visceral (omental) adipose tissue (VAT). CpG methylation in PBMCs was assayed in the same cohort. RESULTS: There were 647 differentially expressed genes (false discovery rate [FDR] 10%) in SAT, all of which displayed directionally consistent associations in VAT. This suggests that IR is associated with dysregulated expression of a common set of genes in SAT and VAT. The average degree of DNA methylation did not differ between the insulin-resistant and insulin-sensitive group in any of the analysed tissues/cells. There were 223 IR-associated genes in SAT containing a total of 336 nominally significant differentially methylated sites (DMS). The 223 IR-associated genes were over-represented in pathways related to integrin cell surface interactions and insulin signalling and included COL5A1, GAB1, IRS2, PFKFB3 and PTPRJ. In VAT there were a total of 51 differentially expressed genes (FDR 10%); 18 IR-associated genes contained a total of 29 DMS. CONCLUSIONS/INTERPRETATION: In individuals discordant for insulin sensitivity, the average DNA CpG methylation in SAT and VAT is similar, although specific genes, particularly in SAT, display significantly altered expression and DMS in IR, possibly indicating that epigenetic regulation of these genes influences metabolism. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-016-4074-5) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
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spelling pubmed-55060952017-07-25 The epigenetic signature of systemic insulin resistance in obese women Arner, Peter Sahlqvist, Anna-Stina Sinha, Indranil Xu, Huan Yao, Xiang Waterworth, Dawn Rajpal, Deepak Loomis, A. Katrina Freudenberg, Johannes M. Johnson, Toby Thorell, Anders Näslund, Erik Ryden, Mikael Dahlman, Ingrid Diabetologia Article AIMS/HYPOTHESIS: Insulin resistance (IR) links obesity to type 2 diabetes. The aim of this study was to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by genome-wide CG dinucleotide (CpG) methylation and gene expression profiling in WAT from insulin-resistant and insulin-sensitive women. A secondary aim was to determine whether the DNA methylation signature in peripheral blood mononuclear cells (PBMCs) reflects WAT methylation and, if so, can be used as a marker for systemic IR. METHODS: From 220 obese women, we selected a total of 80 individuals from either of the extreme ends of the distribution curve of HOMA-IR, an indirect measure of systemic insulin sensitivity. Genome-wide transcriptome and DNA CpG methylation profiling by array was performed on subcutaneous (SAT) and visceral (omental) adipose tissue (VAT). CpG methylation in PBMCs was assayed in the same cohort. RESULTS: There were 647 differentially expressed genes (false discovery rate [FDR] 10%) in SAT, all of which displayed directionally consistent associations in VAT. This suggests that IR is associated with dysregulated expression of a common set of genes in SAT and VAT. The average degree of DNA methylation did not differ between the insulin-resistant and insulin-sensitive group in any of the analysed tissues/cells. There were 223 IR-associated genes in SAT containing a total of 336 nominally significant differentially methylated sites (DMS). The 223 IR-associated genes were over-represented in pathways related to integrin cell surface interactions and insulin signalling and included COL5A1, GAB1, IRS2, PFKFB3 and PTPRJ. In VAT there were a total of 51 differentially expressed genes (FDR 10%); 18 IR-associated genes contained a total of 29 DMS. CONCLUSIONS/INTERPRETATION: In individuals discordant for insulin sensitivity, the average DNA CpG methylation in SAT and VAT is similar, although specific genes, particularly in SAT, display significantly altered expression and DMS in IR, possibly indicating that epigenetic regulation of these genes influences metabolism. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-016-4074-5) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2016-08-18 2016 /pmc/articles/PMC5506095/ /pubmed/27535281 http://dx.doi.org/10.1007/s00125-016-4074-5 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Arner, Peter
Sahlqvist, Anna-Stina
Sinha, Indranil
Xu, Huan
Yao, Xiang
Waterworth, Dawn
Rajpal, Deepak
Loomis, A. Katrina
Freudenberg, Johannes M.
Johnson, Toby
Thorell, Anders
Näslund, Erik
Ryden, Mikael
Dahlman, Ingrid
The epigenetic signature of systemic insulin resistance in obese women
title The epigenetic signature of systemic insulin resistance in obese women
title_full The epigenetic signature of systemic insulin resistance in obese women
title_fullStr The epigenetic signature of systemic insulin resistance in obese women
title_full_unstemmed The epigenetic signature of systemic insulin resistance in obese women
title_short The epigenetic signature of systemic insulin resistance in obese women
title_sort epigenetic signature of systemic insulin resistance in obese women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506095/
https://www.ncbi.nlm.nih.gov/pubmed/27535281
http://dx.doi.org/10.1007/s00125-016-4074-5
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