Evidence map›Paper›PMID 41865122›Full record

ArticleScientific reports2026

Mechanistic role of gut microbiota metabolites in hypertension-insomnia comorbidity via integrated network pharmacology and molecular dynamics.

Rui-Ling Ma, Yu-Shun Kou, Yi-Yuan Wang, Hong Wang, Lu-Fan Shen, Bin Li, Ling-Na Zhang, Jia-Wei Li, Lin Yi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rui-Ling Ma *College of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Yu-Shun Kou *College of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Yi-Yuan Wang *College of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Hong WangCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Lu-Fan ShenCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Bin LiCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Ling-Na ZhangCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Jia-Wei LiCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China.
Lin YiCollege of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, China. yxxxlyyy@163.com.ORCID http://orcid.org/0000-0001-5690-7435

Funding

Gansu Provincial Joint Research Fund - General Program 23JRRA1521Gansu Provincial Natural Science Foundation 24JRRA1019Innovation Fund for University Faculty of Gansu Provincial Department of Education 2025A-111Innovation Fund for University Faculty of Gansu Provincial Department of Education 2026A-112National Natural Science Foundation of China 82160842Scientific Research and Innovation Fund of Gansu University of Chinese Medicine 2022KCYB-5
6 · The paper itself

Abstract

Hypertension and insomnia frequently co-occur, yet their molecular link is unclear. Recent studies indicate that gut microbiota metabolites significantly influence neuroimmune and cardiovascular interactions. This research aimed to explore the role of these gut microbiota derived metabolites in the co-occurrence of hypertension and insomnia through an integrative network pharmacology approach. We extracted 278 gut microbial metabolites and their targets from the gutMGene database. Target prediction was performed using SEA and Swiss Target Prediction. We compiled 13,700 hypertension and 502 insomnia disease-associated targets from six databases, identifying 408 common targets. The 18 core targets were validated through PPI network analysis, KEGG pathway enrichment, and molecular docking. Ligand-target interaction stability was tested with 100 ns molecular dynamics simulations. Drug-likeness and toxicity were assessed using SwissADME and ADMETlab2.0. The PPI network analysis highlighted IL6 and PPARG as key hubs, each with 12 connections. KEGG pathway enrichment pinpointed the IL-17 signaling pathway as crucial, linking it to lipid metabolism and neuroinflammation. Molecular docking showed 3-indolepropionic acid binds strongly to IL6 (Vina score: -5.472 kcal/mol), supported by stable molecular dynamics simulations. Drug-likeness screening identified butyrate and 3-indolepropionic acid as promising, with no hepatotoxicity or cardiotoxicity. The MMTS network analysis emphasized Lacticaseibacillus paracasei as a major regulator of IL-17 signaling pathways. This study highlights the role of the microbiota-metabolite-inflammation axis in hypertension and insomnia comorbidity, suggesting IL-17 inhibition and microbial metabolite supplementation as treatments. It provides a theoretical framework and potential targets for developing gut-derived metabolite-based interventions for hypertension-insomnia comorbidity.

Indexed as

Gastrointestinal MicrobiomeHypertensionSleep Initiation and Maintenance DisordersComorbidityHumansMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyGut microbiota metabolitesHypertensionInsomniaMolecular dynamics simulationNetwork pharmacology

Identifiers

PMID41865122
PMCPMC13149978

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Registered trials

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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.