ArticleMolecular medicine (Cambridge, Mass.)2024
Elucidating the role of gut microbiota metabolites in diabetes by employing network pharmacology.
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.
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Who cites it
26 citing papers in PubMed.
- Review
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- Screening of key host targets and mechanistic assessment of berberine modulation of host responses to respiratory syncytial virus.The Journal of international medical research · 2026Article
- Application of gut microbiota metabolites in the treatment of knee osteoarthritis: a network pharmacology study.Journal of orthopaedic surgery and research · 2026Article
- Decoding the gut microbiota metabolite-matrix metalloproteinase-3 axis in breast cancer: a multi-omics and network pharmacology study.Molecular diversity · 2026Article
- Type 2 Diabetes Mellitus as a Multisystem Disease: From Insulin Resistance to Organ Crosstalk-A Narrative Review.Biomedicines · 2026Review
- Gastrointestinal dysfunction after brain injury: Mechanisms and the role of the brain-gut axis.World journal of gastroenterology · 2026Review
- Gut microbiota characteristics and its biological function analysis in patients with tuberculosis and diabetes mellitus co-morbidity.BMC microbiology · 2026Article
- An integrated study combining network toxicology machine learning and molecular simulation reveals the molecular mechanisms of permanent hair dyes in breast cancer.Discover oncology · 2026Article
- Multi-omics analysis: Gut microbial metabolites in ovarian lesions.The Journal of international medical research · 2026Article
- The 16S rRNA gene sequencing of gut microbiota in pigeons infected with pigeon paramyxovirus type 1.Frontiers in cellular and infection microbiology · 2026Article
- Gut microbiota-driven immunomodulation in tuberculosis: targeting dysbiosis to overcome drug resistance.Frontiers in immunology · 2026Review
- Peroxisomal fatty acid oxidation-related signature for predicting prognosis and therapeutic response in low-grade glioma.Frontiers in oncology · 2026Article
- The Gut Microbiota-Insulin Resistance Axis: Mechanisms, Clinical Implications, and Therapeutic Potential.FASEB bioAdvances · 2026Review
- Integrative multi-omics analysis prioritizes compartment-specific candidate targets of gut microbiota metabolites in diabetic kidney disease.Frontiers in immunology · 2026Article
- Coagulation-related genes COL3A1 and MMP1 influence the development of osteoarthritis and the surrounding immunological environment.Frontiers in immunology · 2026Article
- Article
- Exploring the potential of gut microbiota metabolites in the treatment of endometriosis through network pharmacology and Mendelian randomization.Frontiers in microbiology · 2026Article
- Unraveling the Gut Microbiota-mediated Anti-tumor Mechanisms of ShenXia KuanZhong Decoction in Gastric Cancer: a Systems Biology and Dose-weighted Network Pharmacology Approach.Biological procedures online · 2025Article
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5 authors.
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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.
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