Evidence map›Paper›PMID 37293035›Full record

ArticlebioRxiv : the preprint server for biology2024

Microbes with higher metabolic independence are enriched in human gut microbiomes under stress.

Iva Veseli, Yiqun T Chen, Matthew S Schechter, Chiara Vanni, Emily C Fogarty, Andrea R Watson, Bana A Jabri, Ran Blekhman, Amy D Willis, Michael K Yu and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 3 countries.

University of Chicago · USAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung · DECarl von Ossietzky Universität Oldenburg · DEStanford University · USToyota Technological Institute at Chicago · USUniversity of Bremen · DEUniversity of Copenhagen · DKUniversity of Washington · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
Host and microbial basis of human ulcerative colitis and pouchitis: Identification, role, mechanisms, and resource development of host susceptibility and pathobiont factorsRC2DK122394 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2019 to 2023
$10.2M
Population Genomics of Host-Microbiome InteractionsR35GM128716 · NIGMS · UNIVERSITY OF MINNESOTA · PI Ran Blekhman · 2018 to 2026
$3.5M
Statistical methods to enhance reproducible microbiome discoveryR35GM133420 · NIGMS · UNIVERSITY OF WASHINGTON · PI Amy D Willis · 2019 to 2026
$2.8M
Probing short and long term consequences of Small and Large Bowel Microbiota Transplants on Host Physiology: Implications for the development of future live biotherapeuticsR01DK138072 · NIDDK · UNIVERSITY OF CHICAGO · PI EUGENE B CHANG, Kristina Brooke Martinez-Guryn · 2024 to 2026
$2.1M
NIDDK NIH HHS P30 DK042086NIDDK NIH HHS R01 DK138072NIGMS NIH HHS R35 GM128716
6 · The paper itself

Abstract

A wide variety of human diseases are associated with loss of microbial diversity in the human gut, inspiring a great interest in the diagnostic or therapeutic potential of the microbiota. However, the ecological forces that drive diversity reduction in disease states remain unclear, rendering it difficult to ascertain the role of the microbiota in disease emergence or severity. One hypothesis to explain this phenomenon is that microbial diversity is diminished as disease states select for microbial populations that are more fit to survive environmental stress caused by inflammation or other host factors. Here, we tested this hypothesis on a large scale, by developing a software framework to quantify the enrichment of microbial metabolisms in complex metagenomes as a function of microbial diversity. We applied this framework to over 400 gut metagenomes from individuals who are healthy or diagnosed with inflammatory bowel disease (IBD). We found that high metabolic independence (HMI) is a distinguishing characteristic of microbial communities associated with individuals diagnosed with IBD. A classifier we trained using the normalized copy numbers of 33 HMI-associated metabolic modules not only distinguished states of health versus IBD, but also tracked the recovery of the gut microbiome following antibiotic treatment, suggesting that HMI is a hallmark of microbial communities in stressed gut environments.

Identifiers

PMID37293035
PMCPMC10245760
OpenAlexW4376646768

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.