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Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database

Adipose differentiation and excessive lipid accumulation are the important characteristics of obesity. Metformin, as a classic hypoglycaemic drug, has been proved to reduce body weight in type 2 diabetes, the specific mechanism has not been completely clear. A few studies have explored its effect on...

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Autores principales: Zhao, Zhicong, Wang, Chenxi, Jia, Jue, Wang, Zhaoxiang, Li, Lian, Deng, Xia, Cai, Zhensheng, Yang, Ling, Wang, Dong, Ma, Suxian, Zhao, Li, Tu, Zhigang, Yuan, Guoyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741290/
https://www.ncbi.nlm.nih.gov/pubmed/34974794
http://dx.doi.org/10.1080/21623945.2021.2013417
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author Zhao, Zhicong
Wang, Chenxi
Jia, Jue
Wang, Zhaoxiang
Li, Lian
Deng, Xia
Cai, Zhensheng
Yang, Ling
Wang, Dong
Ma, Suxian
Zhao, Li
Tu, Zhigang
Yuan, Guoyue
author_facet Zhao, Zhicong
Wang, Chenxi
Jia, Jue
Wang, Zhaoxiang
Li, Lian
Deng, Xia
Cai, Zhensheng
Yang, Ling
Wang, Dong
Ma, Suxian
Zhao, Li
Tu, Zhigang
Yuan, Guoyue
author_sort Zhao, Zhicong
collection PubMed
description Adipose differentiation and excessive lipid accumulation are the important characteristics of obesity. Metformin, as a classic hypoglycaemic drug, has been proved to reduce body weight in type 2 diabetes, the specific mechanism has not been completely clear. A few studies have explored its effect on adipogenesis in vitro, but the existing experimental results are ambiguous. 3T3-L1 preadipocytes were used to explore the effects of metformin on the morphological and physiological changes of lipid droplets during adipogenesis. A high throughput sequencing was used to examine the effects of metformin on the transcriptome of adipogenesis. Considering the inevitable errors among independent experiments, we performed integrated bioinformatics analysis to identify important genes involved in adipogenesis and reveal potential molecular mechanisms. During the process of adipogenesis, metformin visibly relieved the morphological and functional changes. In addition, metformin reverses the expression pattern of genes related to adipogenesis at the transcriptome level. Combining with integrated bioinformatics analyses to further identify the potential targeted genes regulated by metformin during adipogenesis. The present study identified novel changes in the transcriptome of metformin in the process of adipogenesis that might shed light on the underlying mechanism by which metformin impedes the progression of obesity.
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spelling pubmed-87412902022-01-08 Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database Zhao, Zhicong Wang, Chenxi Jia, Jue Wang, Zhaoxiang Li, Lian Deng, Xia Cai, Zhensheng Yang, Ling Wang, Dong Ma, Suxian Zhao, Li Tu, Zhigang Yuan, Guoyue Adipocyte Research Paper Adipose differentiation and excessive lipid accumulation are the important characteristics of obesity. Metformin, as a classic hypoglycaemic drug, has been proved to reduce body weight in type 2 diabetes, the specific mechanism has not been completely clear. A few studies have explored its effect on adipogenesis in vitro, but the existing experimental results are ambiguous. 3T3-L1 preadipocytes were used to explore the effects of metformin on the morphological and physiological changes of lipid droplets during adipogenesis. A high throughput sequencing was used to examine the effects of metformin on the transcriptome of adipogenesis. Considering the inevitable errors among independent experiments, we performed integrated bioinformatics analysis to identify important genes involved in adipogenesis and reveal potential molecular mechanisms. During the process of adipogenesis, metformin visibly relieved the morphological and functional changes. In addition, metformin reverses the expression pattern of genes related to adipogenesis at the transcriptome level. Combining with integrated bioinformatics analyses to further identify the potential targeted genes regulated by metformin during adipogenesis. The present study identified novel changes in the transcriptome of metformin in the process of adipogenesis that might shed light on the underlying mechanism by which metformin impedes the progression of obesity. Taylor & Francis 2022-01-03 /pmc/articles/PMC8741290/ /pubmed/34974794 http://dx.doi.org/10.1080/21623945.2021.2013417 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Zhao, Zhicong
Wang, Chenxi
Jia, Jue
Wang, Zhaoxiang
Li, Lian
Deng, Xia
Cai, Zhensheng
Yang, Ling
Wang, Dong
Ma, Suxian
Zhao, Li
Tu, Zhigang
Yuan, Guoyue
Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title_full Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title_fullStr Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title_full_unstemmed Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title_short Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database
title_sort regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and geo database
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741290/
https://www.ncbi.nlm.nih.gov/pubmed/34974794
http://dx.doi.org/10.1080/21623945.2021.2013417
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