Evidence map›Paper›PMID 41403619›Full record

ArticleArchives of medical science : AMS2025

Gut microbiota and insomnia: Mendelian randomization and network pharmacology to predict potential intervention with traditional Chinese medicine.

Xu Wang, Jie Zhang, Xiao-Yu Song, Jian-Ping Duan, Ying Zhang

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xu WangCenter of Encephalopathy, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Jie ZhangCenter of Encephalopathy, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Xiao-Yu SongCenter of Encephalopathy, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Jian-Ping DuanCenter of Encephalopathy, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Ying ZhangCollege of Foreign Languages, Henan University of Chinese Medicine, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of the study was to identify gut microbiota (GM) with genetic causal effects on insomnia using Mendelian randomization (MR) and predict potential traditional Chinese medicines (TCMs) for GM-targeted intervention in insomnia. Material and methods: Summary data from genome-wide association studies (GWAS) on GM and insomnia were obtained from the IEU OpenGWAS database. The R 4.4.1 software, particularly the TwoSampleMR package, was utilized to assess the genetic correlation between GM and insomnia, primarily using the inverse-variance weighted (IVW) method. Functional enrichment analysis was conducted on the genes adjacent to the instrumental variables to explore the signaling pathways through which related GM may mediate insomnia. The CTD and Coremine databases were combined to predict TCM with potential regulatory effects on the genes adjacent to the instrumental variables, and their properties, meridian tropism, and efficacy information were compiled. Results: The MR analysis revealed that Ruminococcaceae and Marvinbryantia were associated with an increased risk of insomnia, while Pasteurellaceae, Olsenella, the Ruminococcus gnavus group, Mollicutes RF9, and Pasteurellales were associated with a decreased risk. The genes adjacent to the instrumental variables were mainly enriched in signaling pathways such as neuroactive ligand-receptor interaction and the mammalian target of rapamycin (mTOR). Representative TCM with high mapping frequencies included Panax ginseng, Curcuma aromatica, Salviae Miltiorrhizae Radix, Zingiber officinale, Glycyrrhizae Radix et Rhizoma, Aucklandiae Radix, Magnoliae Officinalis Cortex, Scutellariae Radix, Ganoderma lucidum, and Poria cocos. Conclusions: The MR analysis identified seven GM, represented by Ruminococcaceae and Marvinbryantia, that may mediate the occurrence and development of insomnia through signaling pathways such as mTOR and neuroactive ligand-receptor interaction. It predicted potential traditional Chinese medicines that act on GM to intervene in insomnia. This study provided a reference for exploring TCM prevention and treatment strategies for insomnia from the perspective of GM.

Indexed as

causalitygut microbiotainsomniaMendelian randomizationnetwork pharmacologytraditional Chinese medicine

Identifiers

PMID41403619
PMCPMC12703597

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.