Cargando…

Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression

Depression is a common mental disease, with some patients exhibiting ideas and behaviors such as self-harm and suicide. The drugs currently used to treat depression have not achieved good results. It has been reported that metabolites produced by intestinal microbiota affect the development of depre...

Descripción completa

Detalles Bibliográficos
Autores principales: Teng, Fei, Lu, Zhongwen, Gao, Fei, Liang, Jing, Li, Jiawen, Tian, Xuanhe, Wang, Xianshuai, Guan, Haowei, Wang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336060/
https://www.ncbi.nlm.nih.gov/pubmed/37433869
http://dx.doi.org/10.1038/s41598-023-38444-8
_version_ 1785071127267115008
author Teng, Fei
Lu, Zhongwen
Gao, Fei
Liang, Jing
Li, Jiawen
Tian, Xuanhe
Wang, Xianshuai
Guan, Haowei
Wang, Jin
author_facet Teng, Fei
Lu, Zhongwen
Gao, Fei
Liang, Jing
Li, Jiawen
Tian, Xuanhe
Wang, Xianshuai
Guan, Haowei
Wang, Jin
author_sort Teng, Fei
collection PubMed
description Depression is a common mental disease, with some patients exhibiting ideas and behaviors such as self-harm and suicide. The drugs currently used to treat depression have not achieved good results. It has been reported that metabolites produced by intestinal microbiota affect the development of depression. In this study, core targets and core compounds were screened by specific algorithms in the database, and three-dimensional structures of these compounds and proteins were simulated by molecular docking and molecular dynamics software to further study the influence of intestinal microbiota metabolites on the pathogenesis of depression. By analyzing the RMSD gyration radius and RMSF, it was finally determined that NR1H4 had the best binding effect with genistein. Finally, according to Lipinski's five rules, equol, genistein, quercetin and glycocholic acid were identified as effective drugs for the treatment of depression. In conclusion, the intestinal microbiota can affect the development of depression through the metabolites equol, genistein and quercetin, which act on the critical targets of DPP4, CYP3A4, EP300, MGAM and NR1H4.
format Online
Article
Text
id pubmed-10336060
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-103360602023-07-13 Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression Teng, Fei Lu, Zhongwen Gao, Fei Liang, Jing Li, Jiawen Tian, Xuanhe Wang, Xianshuai Guan, Haowei Wang, Jin Sci Rep Article Depression is a common mental disease, with some patients exhibiting ideas and behaviors such as self-harm and suicide. The drugs currently used to treat depression have not achieved good results. It has been reported that metabolites produced by intestinal microbiota affect the development of depression. In this study, core targets and core compounds were screened by specific algorithms in the database, and three-dimensional structures of these compounds and proteins were simulated by molecular docking and molecular dynamics software to further study the influence of intestinal microbiota metabolites on the pathogenesis of depression. By analyzing the RMSD gyration radius and RMSF, it was finally determined that NR1H4 had the best binding effect with genistein. Finally, according to Lipinski's five rules, equol, genistein, quercetin and glycocholic acid were identified as effective drugs for the treatment of depression. In conclusion, the intestinal microbiota can affect the development of depression through the metabolites equol, genistein and quercetin, which act on the critical targets of DPP4, CYP3A4, EP300, MGAM and NR1H4. Nature Publishing Group UK 2023-07-11 /pmc/articles/PMC10336060/ /pubmed/37433869 http://dx.doi.org/10.1038/s41598-023-38444-8 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
Teng, Fei
Lu, Zhongwen
Gao, Fei
Liang, Jing
Li, Jiawen
Tian, Xuanhe
Wang, Xianshuai
Guan, Haowei
Wang, Jin
Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title_full Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title_fullStr Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title_full_unstemmed Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title_short Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
title_sort systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336060/
https://www.ncbi.nlm.nih.gov/pubmed/37433869
http://dx.doi.org/10.1038/s41598-023-38444-8
work_keys_str_mv AT tengfei systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT luzhongwen systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT gaofei systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT liangjing systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT lijiawen systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT tianxuanhe systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT wangxianshuai systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT guanhaowei systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression
AT wangjin systemsbiologyapproachestoidentifypotentialtargetsandinhibitorsoftheintestinalmicrobiotatotreatdepression