Cargando…
Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis
Insulin resistance (IR) is a precursor event that occurs in multiple organs and underpins many metabolic disorders. However, due to the lack of effective means to systematically explore and interpret disease-related tissue crosstalk, the tissue communication mechanism in pathogenesis of IR has not b...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805208/ https://www.ncbi.nlm.nih.gov/pubmed/35116003 http://dx.doi.org/10.3389/fendo.2021.756785 |
_version_ | 1784643196889858048 |
---|---|
author | Yang, Linlin Yang, Linquan Wang, Xing Xing, Hanying Zhao, Hang Xing, Yuling Zhou, Fei Wang, Chao Song, Guangyao Ma, Huijuan |
author_facet | Yang, Linlin Yang, Linquan Wang, Xing Xing, Hanying Zhao, Hang Xing, Yuling Zhou, Fei Wang, Chao Song, Guangyao Ma, Huijuan |
author_sort | Yang, Linlin |
collection | PubMed |
description | Insulin resistance (IR) is a precursor event that occurs in multiple organs and underpins many metabolic disorders. However, due to the lack of effective means to systematically explore and interpret disease-related tissue crosstalk, the tissue communication mechanism in pathogenesis of IR has not been elucidated yet. To solve this issue, we profiled all proteins in white adipose tissue (WAT), liver, and skeletal muscle of a high fat diet induced IR mouse model via proteomics. A network-based approach was proposed to explore IR related tissue communications. The cross-tissue interface was constructed, in which the inter-tissue connections and also their up and downstream processes were particularly inspected. By functional quantification, liver was recognized as the only organ that can output abnormal carbohydrate metabolic signals, clearly highlighting its central role in regulation of glucose homeostasis. Especially, the CD36–PPAR axis in liver and WAT was identified and verified as a potential bridge that links cross-tissue signals with intracellular metabolism, thereby promoting the progression of IR through a PCK1-mediated lipotoxicity mechanism. The cross-tissue mechanism unraveled in this study not only provides novel insights into the pathogenesis of IR, but also is conducive to development of precision therapies against various IR associated diseases. With further improvement, our network-based cross-tissue analytic method would facilitate other disease-related tissue crosstalk study in the near future. |
format | Online Article Text |
id | pubmed-8805208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88052082022-02-02 Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis Yang, Linlin Yang, Linquan Wang, Xing Xing, Hanying Zhao, Hang Xing, Yuling Zhou, Fei Wang, Chao Song, Guangyao Ma, Huijuan Front Endocrinol (Lausanne) Endocrinology Insulin resistance (IR) is a precursor event that occurs in multiple organs and underpins many metabolic disorders. However, due to the lack of effective means to systematically explore and interpret disease-related tissue crosstalk, the tissue communication mechanism in pathogenesis of IR has not been elucidated yet. To solve this issue, we profiled all proteins in white adipose tissue (WAT), liver, and skeletal muscle of a high fat diet induced IR mouse model via proteomics. A network-based approach was proposed to explore IR related tissue communications. The cross-tissue interface was constructed, in which the inter-tissue connections and also their up and downstream processes were particularly inspected. By functional quantification, liver was recognized as the only organ that can output abnormal carbohydrate metabolic signals, clearly highlighting its central role in regulation of glucose homeostasis. Especially, the CD36–PPAR axis in liver and WAT was identified and verified as a potential bridge that links cross-tissue signals with intracellular metabolism, thereby promoting the progression of IR through a PCK1-mediated lipotoxicity mechanism. The cross-tissue mechanism unraveled in this study not only provides novel insights into the pathogenesis of IR, but also is conducive to development of precision therapies against various IR associated diseases. With further improvement, our network-based cross-tissue analytic method would facilitate other disease-related tissue crosstalk study in the near future. Frontiers Media S.A. 2022-01-18 /pmc/articles/PMC8805208/ /pubmed/35116003 http://dx.doi.org/10.3389/fendo.2021.756785 Text en Copyright © 2022 Yang, Yang, Wang, Xing, Zhao, Xing, Zhou, Wang, Song and Ma https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Yang, Linlin Yang, Linquan Wang, Xing Xing, Hanying Zhao, Hang Xing, Yuling Zhou, Fei Wang, Chao Song, Guangyao Ma, Huijuan Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title | Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title_full | Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title_fullStr | Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title_full_unstemmed | Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title_short | Exploring the Multi-Tissue Crosstalk Relevant to Insulin Resistance Through Network-Based Analysis |
title_sort | exploring the multi-tissue crosstalk relevant to insulin resistance through network-based analysis |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805208/ https://www.ncbi.nlm.nih.gov/pubmed/35116003 http://dx.doi.org/10.3389/fendo.2021.756785 |
work_keys_str_mv | AT yanglinlin exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT yanglinquan exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT wangxing exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT xinghanying exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT zhaohang exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT xingyuling exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT zhoufei exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT wangchao exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT songguangyao exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis AT mahuijuan exploringthemultitissuecrosstalkrelevanttoinsulinresistancethroughnetworkbasedanalysis |