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Network analysis reveals dysregulated functional patterns in type II diabetic skin

Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions...

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Autores principales: Liu, Chunan, Ram, Sudha, Hurwitz, Bonnie L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046425/
https://www.ncbi.nlm.nih.gov/pubmed/35477946
http://dx.doi.org/10.1038/s41598-022-10652-8
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author Liu, Chunan
Ram, Sudha
Hurwitz, Bonnie L.
author_facet Liu, Chunan
Ram, Sudha
Hurwitz, Bonnie L.
author_sort Liu, Chunan
collection PubMed
description Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis of single genes in previous research. Here, we use network analysis and topological properties to systematically investigate dysregulated gene co-expression patterns in type II diabetic skin with skin samples from the Genotype-Tissue Expression database. Our final network consisted of 8812 genes from 73 subjects with T2DM and 147 non-T2DM subjects matched for age, sex, and race. Two gene modules significantly related to T2DM were functionally enriched in the pathway lipid metabolism, activated by PPARA and SREBF (SREBP). Transcription factors KLF10, KLF4, SP1, and microRNA-21 were predicted to be important regulators of gene expression in these modules. Intramodular analysis and betweenness centrality identified NCOA6 as the hub gene while KHSRP and SIN3B are key coordinators that influence molecular activities differently between T2DM and non-T2DM populations. We built a TF-miRNA-mRNA regulatory network to reveal the novel mechanism (miR-21-PPARA-NCOA6) of dysregulated keratinocyte proliferation, differentiation, and migration in diabetic skin, which may provide new insights into the susceptibility of skin disorders in T2DM patients. Hub genes and key coordinators may serve as therapeutic targets to improve diabetic skincare.
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spelling pubmed-90464252022-04-29 Network analysis reveals dysregulated functional patterns in type II diabetic skin Liu, Chunan Ram, Sudha Hurwitz, Bonnie L. Sci Rep Article Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis of single genes in previous research. Here, we use network analysis and topological properties to systematically investigate dysregulated gene co-expression patterns in type II diabetic skin with skin samples from the Genotype-Tissue Expression database. Our final network consisted of 8812 genes from 73 subjects with T2DM and 147 non-T2DM subjects matched for age, sex, and race. Two gene modules significantly related to T2DM were functionally enriched in the pathway lipid metabolism, activated by PPARA and SREBF (SREBP). Transcription factors KLF10, KLF4, SP1, and microRNA-21 were predicted to be important regulators of gene expression in these modules. Intramodular analysis and betweenness centrality identified NCOA6 as the hub gene while KHSRP and SIN3B are key coordinators that influence molecular activities differently between T2DM and non-T2DM populations. We built a TF-miRNA-mRNA regulatory network to reveal the novel mechanism (miR-21-PPARA-NCOA6) of dysregulated keratinocyte proliferation, differentiation, and migration in diabetic skin, which may provide new insights into the susceptibility of skin disorders in T2DM patients. Hub genes and key coordinators may serve as therapeutic targets to improve diabetic skincare. Nature Publishing Group UK 2022-04-27 /pmc/articles/PMC9046425/ /pubmed/35477946 http://dx.doi.org/10.1038/s41598-022-10652-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Chunan
Ram, Sudha
Hurwitz, Bonnie L.
Network analysis reveals dysregulated functional patterns in type II diabetic skin
title Network analysis reveals dysregulated functional patterns in type II diabetic skin
title_full Network analysis reveals dysregulated functional patterns in type II diabetic skin
title_fullStr Network analysis reveals dysregulated functional patterns in type II diabetic skin
title_full_unstemmed Network analysis reveals dysregulated functional patterns in type II diabetic skin
title_short Network analysis reveals dysregulated functional patterns in type II diabetic skin
title_sort network analysis reveals dysregulated functional patterns in type ii diabetic skin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046425/
https://www.ncbi.nlm.nih.gov/pubmed/35477946
http://dx.doi.org/10.1038/s41598-022-10652-8
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