Evidence map›Paper›PMID 41762163›Full record

ArticleCurrent protocols2026

Interpreting Microbiome Signatures with MicrobiomeNet.

Yao Lu, Khoi Nguyen Nguyen, Jianguo Xia

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

3 authors.

Yao LuDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.
Khoi Nguyen NguyenDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.
Jianguo XiaDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicrobiomeNet (https://microbiomenet.com) is a web-based platform developed to provide functional insights into microbiome signatures using genome-scale metabolic models (GEMs). It currently hosts 12,400 GEMs and around 6 million microbial signatures. Users can start by searching microbes, metabolites, genes, or enzymes, and perform common tasks such as to characterize the metabolic capacity for a given microbe, to explore known microbial associations, as well as to understand potential metabolic interactions. This book chapter provides practical, step-by-step instructions for navigating MicrobiomeNet to obtain functional insights into individual microbes or microbial association networks. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Characterizing the Metabolic Profile of a Microbe of Interest Basic Protocol 2: Elucidating Metabolic Interactions from Microbial Associations Basic Protocol 3: Analyzing Carbohydrate-Utilization Pathways to Explain Co-Responsive Taxa Basic Protocol 4: Identifying Novel Deoxycholic Acid-Producing Gut Microbes Basic Protocol 5: Assessing the Faecalibacterium prausnitzii-Coprococcus Relationship.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaSoftwareHumansMetabolic Networks and Pathwayscommunity functionsgenome‐scale metabolic modelmetabolic interactionmicrobiome

Identifiers

PMID41762163
PMCPMC12949597

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.