Evidence map›Paper›PMID 41618422›Full record

ArticleMicrobiome2026

Revealing interactions between microbes, metabolites, and dietary compounds using genome-scale analysis.

Tong Wang, Benjamin Gyori, Scott T Weiss, Giulia Menichetti, Yang-Yu Liu

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Tong WangDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Benjamin GyoriBarnett Institute for Chemical and Biological Analysis, Northeastern University, Boston, MA, USA.
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Giulia MenichettiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. giulia.menichetti@channing.harvard.edu.
Yang-Yu LiuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. yyl@channing.harvard.edu.

Funding

Methods for Unraveling the Impact of Dietary Xenobiotics on COPD Exacerbations with Multi-Dimensional NetworksK25HL173665 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Giulia Menichetti · 2024 to 2026
$487k
American Heart Association 24MERIT 1185447NHLBI NIH HHS K25 HL173665NHLBI NIH HHS K25HL173665NIH HHS R01AI141529, R01HD093761, RF1AG067744, UH3OD023268, U19AI095219, and U01HL089856
6 · The paper itself

Abstract

backgroundThe role of gut microbiome in predicting diet response and developing personalized dietary recommendations has been increasingly recognized. Yet, we still lack comprehensive, genome-based insights into which gut microbes metabolize specific dietary compounds.

resultsHere, we leveraged the metabolic networks constructed from well-annotated microbial genomes to characterize the potential interactions between microbes and metabolites, specifically emphasizing the interactions between microbes and dietary compounds. We revealed a substantial, approximately fourfold variation in both the number of metabolites and dietary compounds in the microbial genome-scale metabolic networks across different genera, whereas species within the same genus showed a high metabolic similarity (mean coefficient of variation in microbial network degree

conclusionsOur results quantitatively reveal large-scale variation and redundancy in gut microbial metabolism and identify dietary compounds linked to only a few microbial species. These findings improve understanding of microbe-metabolite interactions and provide a foundation for the rational design of microbiome-based interventions for healthy benefits. Video Abstract.

Identifiers

PMID41618422
PMCPMC12933906

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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.