Evidence map›Paper›PMID 39707185›Full record

ArticleMolecular medicine (Cambridge, Mass.)2024

Elucidating the role of gut microbiota metabolites in diabetes by employing network pharmacology.

Weiguo Yao, Jinlin Huo, Jing Ji, Kun Liu, Pengyu Tao

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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  11. Multi-omics analysis: Gut microbial metabolites in ovarian lesions.The Journal of international medical research · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Weiguo Yao *Department of Nephrology, Jinshan District Central Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Jinlin Huo *Institute of Precision Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Jing JiDepartment of Emergency, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Kun LiuDepartment of Nephrology, Jinshan District Central Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Pengyu TaoDepartment of Nephrology, Seventh People's Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. 1120821481@qq.com.

Funding

Shanghai 14th Five-Year Plan TCM Characteristic Specialty Construction Project ZYTSZK2-13Shanghai Famous Traditional Chinese Medicine Academic Experience Research Studio Construction Project SHGZS-202237
6 · The paper itself

Abstract

backgroundExtensive research has underscored the criticality of preserving diversity and equilibrium within the gut microbiota for optimal human health. However, the precise mechanisms by which the metabolites and targets of the gut microbiota exert their effects remain largely unexplored. This study utilizes a network pharmacology methodology to elucidate the intricate interplay between the microbiota, metabolites, and targets in the context of DM, thereby facilitating a more comprehensive comprehension of this multifaceted disease.

methodsIn this study, we initially extracted metabolite information of gut microbiota metabolites from the gutMGene database. Subsequently, we employed the SEA and STP databases to discern targets that are intricately associated with these metabolites. Furthermore, we leveraged prominent databases such as Genecard, DisGeNET, and OMIM to identify targets related to diabetes. A protein-protein interaction (PPI) network was established to screen core targets. Additionally, we conducted comprehensive GO and KEGG enrichment analyses utilizing the DAVID database. Moreover, a network illustrating the relationship among microbiota-substrate-metabolite-target was established.

resultsWe identified a total of 48 overlapping targets between gut microbiota metabolites and diabetes. Subsequently, we selected IL6, AKT1 and PPARG as core targets for the treatment of diabetes. Through the construction of the MSMT comprehensive network, we discovered that the three core targets exert therapeutic effects on diabetes through interactions with 8 metabolites, 3 substrates, and 5 gut microbiota. Additionally, GO analysis revealed that gut microbiota metabolites primarily regulate oxidative stress, inflammation and cell proliferation. KEGG analysis results indicated that IL-17, PI3K/AKT, HIF-1, and VEGF are the main signaling pathways involved in DM.

conclusionGut microbiota metabolites primarily exert their therapeutic effects on diabetes through the IL6, AKT1, and PPARG targets. The mechanisms of gut microbiota metabolites regulating DM might involve signaling pathways such as IL-17 pathways, HIF-1 pathways and VEGF pathways.

Indexed as

Diabetes MellitusGastrointestinal MicrobiomeNetwork PharmacologyProtein Interaction MapsComputational BiologyHumansMetabolomeMetabolomicsPPAR gammaProto-Oncogene Proteins c-aktSignal TransductionPPAR gammaProto-Oncogene Proteins c-aktDiabetesGut microbiotaKidney diseaseMetabolitesNetwork pharmacology

Identifiers

PMID39707185
PMCPMC11660459

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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.