Evidence map›Paper›PMID 38867728›Full record

ArticleiMeta2022

MetOrigin: Discriminating the origins of microbial metabolites for integrative analysis of the gut microbiome and metabolome.

Gang Yu, Cuifang Xu, Danni Zhang, Feng Ju, Yan Ni

Erratum issuedAbstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing 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

129 citing papers in PubMed.

  1. Trial
  2. Virulence · 2026
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  4. Review
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  6. Host genetic regulation of rumen 6-hydroxymelatonin reduces methane emissions in dairy cattle.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. IntratumoralScience advances · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Article

69 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Gang YuThe Children's Hospital, Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou Zhejiang China.
Cuifang XuThe Children's Hospital, Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou Zhejiang China.
Danni ZhangThe Children's Hospital, Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou Zhejiang China.
Feng JuKey Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering Westlake University Hangzhou Zhejiang China.
Yan NiThe Children's Hospital, Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou Zhejiang China.ORCID 0000-0003-1779-7266

Funding

Wellcome Trust
6 · The paper itself

Abstract

The interactions between the gut microbiome and metabolome play an important role in human health and diseases. Current studies mainly apply statistical correlation analysis between the gut microbiome and all the identified metabolites to explore their relationship. However, it remains challenging to identify the specific metabolic functions of microbes without in vitro culture experiments for validation. Discriminating the microbial metabolites from others (e.g., host, food, or environment) and exploring their metabolic functions and correlations with microbiome specifically may improve the efficiency and accuracy of biomarker discovery. So far, there have been no such bioinformatics tools available. Herein, we developed MetOrigin, an interactive web server that discriminates metabolites originating from the microbiome, performs the origin-based metabolic pathway enrichment analysis, and integrates the statistical correlations and biological relationships in the database using Sankey network visualization. MetOrigin not only enables the quick identification of microbial metabolites and their metabolic functions but also facilitates the discovery of specific bacterial species that are closely associated with metabolites statistically and biologically. MetOrigin is freely available at http://metorigin.met-bioinformatics.cn/.

Indexed as

correlation analysisgut microbiome and metabolomemetabolic pathway enrichment analysisorigins of metabolitesSankey network

Identifiers

PMID38867728
PMCPMC10989983

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.