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Key genes and co‐expression network analysis in the livers of type 2 diabetes patients

AIMS/INTRODUCTION: The incidence of type 2 diabetes is increasing worldwide. Hepatic insulin resistance and liver lipid accumulation contributes to type 2 diabetes development. The aim of the present study was to investigate the key gene pathways and co‐expression networks in the livers of type 2 di...

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Autores principales: Li, Lu, Pan, Zongfu, Yang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626963/
https://www.ncbi.nlm.nih.gov/pubmed/30592156
http://dx.doi.org/10.1111/jdi.12998
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author Li, Lu
Pan, Zongfu
Yang, Xi
author_facet Li, Lu
Pan, Zongfu
Yang, Xi
author_sort Li, Lu
collection PubMed
description AIMS/INTRODUCTION: The incidence of type 2 diabetes is increasing worldwide. Hepatic insulin resistance and liver lipid accumulation contributes to type 2 diabetes development. The aim of the present study was to investigate the key gene pathways and co‐expression networks in the livers of type 2 diabetes patients. MATERIALS AND METHODS: Dataset GSE15653 containing nine healthy individuals and nine type 2 diabetes patients was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database. Differentially expressed genes were obtained from the livers of type 2 diabetes patients, annotated pathway enrichment and protein–protein interaction network analysis. Next, functional modules and transcription factor networks were constructed. Gene co‐expression networks were analyzed by weighted correlation network analysis to identify key modules related to clinical traits, and the candidate key genes were validated in hepatic insulin resistance models in vitro. RESULTS: A total of 778 differentially expressed genes were filtered in the livers of type 2 diabetes patients, pathway enrichment analysis identified ke y pathways, such as the mitogen‐activated protein kinase signaling pathway, Hippo signaling pathway and hypoxia‐inducible factor‐1 signaling pathway, that were associated with type 2 diabetes. Several transcription factors of three functional modules identified from protein–protein interaction networks are likely to be implicated in type 2 diabetes. Furthermore, weighted correlation network analysis identified five modules that were shown to be highly correlated with type 2 diabetes and other clinical traits. Functional annotation showed that these modules were mainly enriched in pathways such as metabolic pathways, phosphoinositide 3‐kinase‐protein kinase B signaling pathway and natural killer cell‐mediated cytotoxicity. UBE2M and GPER were upregulated in L02 and HepG2 models, whereas P2RY11 only upregulated in L02 model, and UBE2N only downregulated in HepG2 model at a significant level. CONCLUSIONS: These results would offer new insights into hepatic insulin resistance, type 2 diabetes pathogenesis, development and drug discovery.
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spelling pubmed-66269632019-07-17 Key genes and co‐expression network analysis in the livers of type 2 diabetes patients Li, Lu Pan, Zongfu Yang, Xi J Diabetes Investig Articles AIMS/INTRODUCTION: The incidence of type 2 diabetes is increasing worldwide. Hepatic insulin resistance and liver lipid accumulation contributes to type 2 diabetes development. The aim of the present study was to investigate the key gene pathways and co‐expression networks in the livers of type 2 diabetes patients. MATERIALS AND METHODS: Dataset GSE15653 containing nine healthy individuals and nine type 2 diabetes patients was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database. Differentially expressed genes were obtained from the livers of type 2 diabetes patients, annotated pathway enrichment and protein–protein interaction network analysis. Next, functional modules and transcription factor networks were constructed. Gene co‐expression networks were analyzed by weighted correlation network analysis to identify key modules related to clinical traits, and the candidate key genes were validated in hepatic insulin resistance models in vitro. RESULTS: A total of 778 differentially expressed genes were filtered in the livers of type 2 diabetes patients, pathway enrichment analysis identified ke y pathways, such as the mitogen‐activated protein kinase signaling pathway, Hippo signaling pathway and hypoxia‐inducible factor‐1 signaling pathway, that were associated with type 2 diabetes. Several transcription factors of three functional modules identified from protein–protein interaction networks are likely to be implicated in type 2 diabetes. Furthermore, weighted correlation network analysis identified five modules that were shown to be highly correlated with type 2 diabetes and other clinical traits. Functional annotation showed that these modules were mainly enriched in pathways such as metabolic pathways, phosphoinositide 3‐kinase‐protein kinase B signaling pathway and natural killer cell‐mediated cytotoxicity. UBE2M and GPER were upregulated in L02 and HepG2 models, whereas P2RY11 only upregulated in L02 model, and UBE2N only downregulated in HepG2 model at a significant level. CONCLUSIONS: These results would offer new insights into hepatic insulin resistance, type 2 diabetes pathogenesis, development and drug discovery. John Wiley and Sons Inc. 2019-01-23 2019-07 /pmc/articles/PMC6626963/ /pubmed/30592156 http://dx.doi.org/10.1111/jdi.12998 Text en © 2018 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Articles
Li, Lu
Pan, Zongfu
Yang, Xi
Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title_full Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title_fullStr Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title_full_unstemmed Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title_short Key genes and co‐expression network analysis in the livers of type 2 diabetes patients
title_sort key genes and co‐expression network analysis in the livers of type 2 diabetes patients
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626963/
https://www.ncbi.nlm.nih.gov/pubmed/30592156
http://dx.doi.org/10.1111/jdi.12998
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