ArticleFrontiers in microbiology2022
Discovery of Drug Candidates for Specific Human Disease Based on Natural Products of Gut Microbes.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- The human microbiome as a source of novel bioactive natural products: structures, bioactivities, and biosynthetic insights.Journal of natural medicines · 2026Review
- Identification of disease ameliorated metabolite candidates from Gut Microbes and their interacting targets based on a novel estimating function.Frontiers in microbiology · 2026Article
- Gut Microbiota-Associated Metabolites Affected the Susceptibility to Heart Health Abnormality in Young Migrants at High-Altitude: Gut Microbiota and Associated Metabolites Impart Heart Health in Plateau.Exploration (Beijing, China) · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The beneficial metabolites of the microbiome could be used as a tool for screening drugs that have the potential for the therapy of various human diseases. Narrowing down the range of beneficial metabolite candidates in specific diseases was primarily a key step for further validation in model organisms. Herein, we proposed a reasonable hypothesis that the metabolites existing commonly in multiple beneficial (or negatively associated) bacteria might have a high probability of being effective drug candidates for specific diseases. According to this hypothesis, we screened metabolites associated with seven human diseases. For type I diabetes, 45 out of 88 screened metabolites had been reported as potential drugs in the literature. Meanwhile, 18 of these metabolites were specific to type I diabetes. Additionally, metabolite correlation could reflect disease relationships in some sense. Our results have demonstrated the potential of bioinformatics mining gut microbes' metabolites as drug candidates based on reported numerous microbe-disease associations and the Virtual Metabolic Human database. More subtle methods would be developed to ensure more accurate predictions.
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