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The identification of metabolites from gut microbiota in NAFLD via network pharmacology
The metabolites of gut microbiota show favorable therapeutic effects on nonalcoholic fatty liver disease (NAFLD), but the active metabolites and mechanisms against NAFLD have not been documented. The aim of the study was to investigate the active metabolites and mechanisms of gut microbiota against...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839744/ https://www.ncbi.nlm.nih.gov/pubmed/36639568 http://dx.doi.org/10.1038/s41598-023-27885-w |
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author | Oh, Ki-Kwang Gupta, Haripriya Min, Byeong Hyun Ganesan, Raja Sharma, Satya Priya Won, Sung Min Jeong, Jin Ju Lee, Su Been Cha, Min Gi Kwon, Goo Hyun Jeong, Min Kyo Hyun, Ji Ye Eom, Jung A Park, Hee Jin Yoon, Sang Jun Choi, Mi Ran Kim, Dong Joon Suk, Ki Tae |
author_facet | Oh, Ki-Kwang Gupta, Haripriya Min, Byeong Hyun Ganesan, Raja Sharma, Satya Priya Won, Sung Min Jeong, Jin Ju Lee, Su Been Cha, Min Gi Kwon, Goo Hyun Jeong, Min Kyo Hyun, Ji Ye Eom, Jung A Park, Hee Jin Yoon, Sang Jun Choi, Mi Ran Kim, Dong Joon Suk, Ki Tae |
author_sort | Oh, Ki-Kwang |
collection | PubMed |
description | The metabolites of gut microbiota show favorable therapeutic effects on nonalcoholic fatty liver disease (NAFLD), but the active metabolites and mechanisms against NAFLD have not been documented. The aim of the study was to investigate the active metabolites and mechanisms of gut microbiota against NAFLD by network pharmacology. We obtained a total of 208 metabolites from the gutMgene database and retrieved 1256 targets from similarity ensemble approach (SEA) and 947 targets from the SwissTargetPrediction (STP) database. In the SEA and STP databases, we identified 668 overlapping targets and obtained 237 targets for NAFLD. Thirty-eight targets were identified out of those 237 and 223 targets retrieved from the gutMgene database, and were considered the final NAFLD targets of metabolites from the microbiome. The results of molecular docking tests suggest that, of the 38 targets, mitogen-activated protein kinase 8-compound K and glycogen synthase kinase-3 beta-myricetin complexes might inhibit the Wnt signaling pathway. The microbiota-signaling pathways-targets-metabolites network analysis reveals that Firmicutes, Fusobacteria, the Toll-like receptor signaling pathway, mitogen-activated protein kinase 1, and phenylacetylglutamine are notable components of NAFLD and therefore to understanding its processes and possible therapeutic approaches. The key components and potential mechanisms of metabolites from gut microbiota against NAFLD were explored utilizing network pharmacology analyses. This study provides scientific evidence to support the therapeutic efficacy of metabolites for NAFLD and suggests holistic insights on which to base further research. |
format | Online Article Text |
id | pubmed-9839744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98397442023-01-15 The identification of metabolites from gut microbiota in NAFLD via network pharmacology Oh, Ki-Kwang Gupta, Haripriya Min, Byeong Hyun Ganesan, Raja Sharma, Satya Priya Won, Sung Min Jeong, Jin Ju Lee, Su Been Cha, Min Gi Kwon, Goo Hyun Jeong, Min Kyo Hyun, Ji Ye Eom, Jung A Park, Hee Jin Yoon, Sang Jun Choi, Mi Ran Kim, Dong Joon Suk, Ki Tae Sci Rep Article The metabolites of gut microbiota show favorable therapeutic effects on nonalcoholic fatty liver disease (NAFLD), but the active metabolites and mechanisms against NAFLD have not been documented. The aim of the study was to investigate the active metabolites and mechanisms of gut microbiota against NAFLD by network pharmacology. We obtained a total of 208 metabolites from the gutMgene database and retrieved 1256 targets from similarity ensemble approach (SEA) and 947 targets from the SwissTargetPrediction (STP) database. In the SEA and STP databases, we identified 668 overlapping targets and obtained 237 targets for NAFLD. Thirty-eight targets were identified out of those 237 and 223 targets retrieved from the gutMgene database, and were considered the final NAFLD targets of metabolites from the microbiome. The results of molecular docking tests suggest that, of the 38 targets, mitogen-activated protein kinase 8-compound K and glycogen synthase kinase-3 beta-myricetin complexes might inhibit the Wnt signaling pathway. The microbiota-signaling pathways-targets-metabolites network analysis reveals that Firmicutes, Fusobacteria, the Toll-like receptor signaling pathway, mitogen-activated protein kinase 1, and phenylacetylglutamine are notable components of NAFLD and therefore to understanding its processes and possible therapeutic approaches. The key components and potential mechanisms of metabolites from gut microbiota against NAFLD were explored utilizing network pharmacology analyses. This study provides scientific evidence to support the therapeutic efficacy of metabolites for NAFLD and suggests holistic insights on which to base further research. Nature Publishing Group UK 2023-01-13 /pmc/articles/PMC9839744/ /pubmed/36639568 http://dx.doi.org/10.1038/s41598-023-27885-w Text en © The Author(s) 2023 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 Oh, Ki-Kwang Gupta, Haripriya Min, Byeong Hyun Ganesan, Raja Sharma, Satya Priya Won, Sung Min Jeong, Jin Ju Lee, Su Been Cha, Min Gi Kwon, Goo Hyun Jeong, Min Kyo Hyun, Ji Ye Eom, Jung A Park, Hee Jin Yoon, Sang Jun Choi, Mi Ran Kim, Dong Joon Suk, Ki Tae The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title | The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title_full | The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title_fullStr | The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title_full_unstemmed | The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title_short | The identification of metabolites from gut microbiota in NAFLD via network pharmacology |
title_sort | identification of metabolites from gut microbiota in nafld via network pharmacology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839744/ https://www.ncbi.nlm.nih.gov/pubmed/36639568 http://dx.doi.org/10.1038/s41598-023-27885-w |
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