Evidence map›Paper›PMID 35050132›Full record

ArticleMetabolites2021

TrpNet: Understanding Tryptophan Metabolism across Gut Microbiome.

Yao Lu, Jasmine Chong, Shiqian Shen, Joey-Bahige Chammas, Lorraine Chalifour, Jianguo Xia

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

27 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Gut microbiota, nutrients, and depression.Frontiers in nutrition · 2025
    Review
  14. Review
  15. Metabolomic Response to Non-Steroidal Anti-Inflammatory Drugs.bioRxiv : the preprint server for biology · 2024
    Article
  16. Use ofBiomolecules · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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 at 3 institutions in 2 countries.

Yao LuDepartment of Microbiology and Immunology, McGill University, Montreal, QC H3A 2T5, Canada.
Jasmine ChongInstitute of Parasitology, McGill University, Montreal, QC H3A 2T5, Canada.
Shiqian ShenMGH Center for Translational Pain Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA.
Joey-Bahige ChammasDepartment of Medicine, McGill University, Montreal, QC H3A 2T5, Canada.
Lorraine ChalifourDepartment of Medicine, McGill University, Montreal, QC H3A 2T5, Canada.
Jianguo XiaDepartment of Microbiology and Immunology, McGill University, Montreal, QC H3A 2T5, Canada.ORCID 0000-0003-2040-2624
McGill University · CAJewish General Hospital · CAHarvard University · US

Funding

Gut Microbiota Influences Postoperative Cognitive Dysfunction through Indole-3-Propionic AcidR35GM128692 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI SHEN, SHIQIAN · 2018 to 2022
$2.2M
Gut Microbiota Underlies the Heterogeneity of Aging Brain's Susceptibility to Postoperative DeliriumRF1AG070141 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SHEN, SHIQIAN, WANG, CHANGNING · 2021 to 2021
$1.7M
NIA NIH HHS RF1 AG070141NIGMS NIH HHS R35 GM128692
6 · The paper itself

Abstract

Crosstalk between the gut microbiome and the host plays an important role in animal development and health. Small compounds are key mediators in this host-gut microbiome dialogue. For instance, tryptophan metabolites, generated by biotransformation of tryptophan through complex host-microbiome co-metabolism can trigger immune, metabolic, and neuronal effects at local and distant sites. However, the origin of tryptophan metabolites and the underlying tryptophan metabolic pathway(s) are not well characterized in the current literature. A large number of the microbial contributors of tryptophan metabolism remain unknown, and there is a growing interest in predicting tryptophan metabolites for a given microbiome. Here, we introduce TrpNet, a comprehensive database and analytics platform dedicated to tryptophan metabolism within the context of host (human and mouse) and gut microbiome interactions. TrpNet contains data on tryptophan metabolism involving 130 reactions, 108 metabolites and 91 enzymes across 1246 human gut bacterial species and 88 mouse gut bacterial species. Users can browse, search, and highlight the tryptophan metabolic pathway, as well as predict tryptophan metabolites on the basis of a given taxonomy profile using a Bayesian logistic regression model. We validated our approach using two gut microbiome metabolomics studies and demonstrated that TrpNet was able to better predict alterations in in indole derivatives compared to other established methods.

Indexed as

co-metabolismgenome-scale metabolic modelgut microbiomeindole derivativesnetworktryptophan metabolism

Identifiers

PMID35050132
PMCPMC8777792
OpenAlexW4200044848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.