ArticleScientific reports2018
A systems biology approach to predict and characterize human gut microbial metabolites in colorectal cancer.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolite signatures of chronological age, aging, survival, and longevity.Cell reports · 2024Article
- Gut Microbial and Associated Metabolite Markers for Colorectal Cancer Diagnosis.Microorganisms · 2023Review
- Review
- Gut-microbiota-microglia-brain interactions in Alzheimer's disease: knowledge-based, multi-dimensional characterization.Alzheimer's research & therapy · 2021Article
- Drug repurposing for opioid use disorders: integration of computational prediction, clinical corroboration, and mechanism of action analyses.Molecular psychiatry · 2021Article
- Dietary Rice Bran-Modified Human Gut Microbial Consortia Confers Protection against Colon Carcinogenesis Following Fecal Transfaunation.Biomedicines · 2021Article
- CoMNRank: An integrated approach to extract and prioritize human microbial metabolites from MEDLINE records.Journal of biomedical informatics · 2020Article
- Automatic extraction, prioritization and analysis of gut microbial metabolites from biomedical literature.Scientific reports · 2020Article
- Re-evaluation of l(+)-tartaric acid (E 334), sodium tartrates (E 335), potassium tartrates (E 336), potassium sodium tartrate (E 337) and calcium tartrate (E 354) as food additives.EFSA journal. European Food Safety Authority · 2020Article
- Colorectal cancer: The epigenetic role of microbiome.World journal of clinical cases · 2019Review
- Analysis of prognosis, genome, microbiome, and microbial metabolome in different sites of colorectal cancer.Journal of translational medicine · 2019Article
- Challenges in the construction of knowledge bases for human microbiome-disease associations.Microbiome · 2019Review
- Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis.BMC genomics · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer-related deaths. It is estimated that about half the cases of CRC occurring today are preventable. Recent studies showed that human gut microbiota and their collective metabolic outputs play important roles in CRC. However, the mechanisms by which human gut microbial metabolites interact with host genetics in contributing CRC remain largely unknown. We hypothesize that computational approaches that integrate and analyze vast amounts of publicly available biomedical data have great potential in better understanding how human gut microbial metabolites are mechanistically involved in CRC. Leveraging vast amount of publicly available data, we developed a computational algorithm to predict human gut microbial metabolites for CRC. We validated the prediction algorithm by showing that previously known CRC-associated gut microbial metabolites ranked highly (mean ranking: top 10.52%; median ranking: 6.29%; p-value: 3.85E-16). Moreover, we identified new gut microbial metabolites likely associated with CRC. Through computational analysis, we propose potential roles for tartaric acid, the top one ranked metabolite, in CRC etiology. In summary, our data-driven computation-based study generated a large amount of associations that could serve as a starting point for further experiments to refute or validate these microbial metabolite associations in CRC cancer.
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Registered trials
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