Evidence map›Paper›PMID 39742299›Full record

ArticleiMeta2024

MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins.

Gang Yu, Cuifang Xu, Xiaoyan Wang, Feng Ju, Junfen Fu, Yan Ni

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Multi-omics uncovers the critical role of ceramide-mediatedJournal of pharmaceutical analysis · 2026
    Article
  4. Observational
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  6. Review
  7. Article
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  11. Article
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  14. Article
  15. Food chemistry: X · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gang YuChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.
Cuifang XuChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.
Xiaoyan WangChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.
Feng JuKey Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering Westlake University Hangzhou China.ORCID 0000-0003-4137-5928
Junfen FuChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.
Yan NiChildren's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health Hangzhou China.ORCID 0000-0003-1779-7266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

First introduced in 2021, MetOrigin has quickly established itself as a powerful web server to distinguish microbial metabolites and identify the bacteria responsible for specific metabolic processes. Building on the growing understanding of the interplay between the microbiome and metabolome, and in response to user feedback, MetOrigin has undergone a significant upgrade to version 2.0. This enhanced version incorporates three new modules: (1) Quick search module that facilitates the rapid identification of bacteria associated with a particular metabolite; (2) Orthology analysis module that links metabolic enzyme genes with their corresponding bacteria; (3) Mediation analysis module that investigates potential causal relationships among bacteria, metabolites, and phenotypes, highlighting the mediating role of metabolites. Additionally, the backend MetOrigin database has been updated with the latest data from seven public databases (KEGG, HMDB, BIGG, ChEBI, FoodDB, Drugbank, and T3DB), with expanded coverage of 210,732 metabolites, each linked to its source organism. MetOrigin 2.0 is freely accessible at http://metorigin.met-bioinformatics.cn.

Indexed as

mediation analysismetabolic reactionmetabolomemicrobiomeorigin analysisorthology analysisphenotype

Identifiers

PMID39742299
PMCPMC11683456

What OpenQuestion holds

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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.