Evidence map›Paper›PMID 40857311›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Specificities of chemosensory receptors in the human gut microbiota.

Wenhao Xu, Ekaterina Jalomo-Khayrova, Vadim M Gumerov, Patricia A Ross, Tania S Köbel, Daniel Schindler, Gert Bange, Igor B Zhulin, Victor Sourjik

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wenhao Xu *Max Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.ORCID 0009-0003-2237-0870
Ekaterina Jalomo-Khayrova *Max Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.ORCID 0000-0001-6363-341X
Vadim M GumerovDepartment of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.ORCID 0000-0003-1670-7679
Patricia A RossDepartment of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.
Tania S KöbelMax Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.
Daniel SchindlerMax Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.ORCID 0000-0001-7423-6540
Gert BangeMax Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.ORCID 0000-0002-7826-0932
Igor B ZhulinDepartment of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.ORCID 0000-0002-6708-5323
Victor SourjikMax Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany.ORCID 0000-0003-1053-9192

Funding

Computational Genomics of Signal TransductionR35GM131760 · NIGMS · OHIO STATE UNIVERSITY · PI Igor B. Jouline · 2019 to 2026
$3.2M
Deutsche Forschungsgemeinschaft (DFG) 464366151Hessisches Ministerium für Wissenschaft und Kunst (Hessian Ministry for Science and Art) LOEWE research cluster "Diffusible Signals"HHS | National Institutes of Health (NIH) R35GM131760Max-Planck-Gesellschaft (MPG) naNIGMS NIH HHS R35 GM131760
6 · The paper itself

Abstract

The human gut is rich in metabolites and harbors a complex microbial community, yet surprisingly little is known about the spectrum of chemical signals detected by the large variety of sensory receptors present in the gut microbiome. Here, we systematically mapped the ligand specificities of selected extracytoplasmic sensory domains from twenty members of the human gut microbiota, with a primary focus on the abundant and physiologically important class of Clostridia. Twenty-five metabolites from different chemical classes-including amino acids, nucleobase derivatives, amines, indole, and carboxylates-were identified as specific ligands for fifteen sensory domains from nine bacterial species, which represent all three major functional classes of transmembrane receptors: chemotaxis receptors, histidine kinases, and enzymatic sensors. We have further characterized the specificity and evolution of ligand binding to Cache superfamily sensors specific for lactate, dicarboxylic acids, and for uracil and short-chain fatty acids (SCFAs). Structural and biochemical analysis of the dCache sensor of uracil and SCFAs revealed that its two different ligand types bind at distinct sensory modules. Overall, combining experimental identification with computational analyses, we were able to assign ligands to approximately half of the Cache-type chemotaxis receptors found in the eleven gut commensal genomes from our set, with carboxylic acids representing the largest ligand class. Among these, the most commonly found ligand specificities were for lactate and formate, indicating a particular importance of these metabolites in the human gut microbiota and consistent with their observed growth-promoting effects on selected bacterial commensals.

Indexed as

Bacterial ProteinsGastrointestinal MicrobiomeChemotaxisFatty Acids, VolatileHumansLigandsUracilBacterial ProteinsFatty Acids, VolatileLigandsUracilchemotaxisgut microbiomemetabolitessensory domainssignal transduction

Identifiers

PMID40857311
PMCPMC12415202

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.