Evidence map›Paper›PMID 40037353›Full record

ArticleCell host & microbe2025

A designed synthetic microbiota provides insight to community function in Clostridioides difficile resistance.

Shuchang Tian, Min Soo Kim, Jingcheng Zhao, Kerim Heber, Fuhua Hao, David Koslicki, Sangshan Tian, Vishal Singh, Andrew D Patterson, Jordan E Bisanz

Abstract read
In one paragraph

Article in Cell host & microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  9. bioRxiv : the preprint server for biology · 2026
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  18. International journal of microbiology · 2026
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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

10 authors.

Shuchang TianDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Min Soo KimDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Jingcheng ZhaoDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Kerim HeberDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Fuhua HaoOne Health Microbiome Center, Huck Life Sciences Institute, The Pennsylvania State University, University Park, PA 16802, USA; Department of Veterinary and Biomedical Sciences, Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA 16802, USA.
David KoslickiOne Health Microbiome Center, Huck Life Sciences Institute, The Pennsylvania State University, University Park, PA 16802, USA; Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Sangshan TianDepartment of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
Vishal SinghDepartment of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
Andrew D PattersonDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA; One Health Microbiome Center, Huck Life Sciences Institute, The Pennsylvania State University, University Park, PA 16802, USA; Department of Veterinary and Biomedical Sciences, Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA 16802, USA.
Jordan E BisanzDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA; One Health Microbiome Center, Huck Life Sciences Institute, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: jordan.bisanz@psu.edu.

Funding

Leveraging k-mer sketching statistics to enhance metagenomic methods and alignment algorithmsR01GM146462 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Antonio Blanca Pimentel, David Koslicki · 2022 to 2026
$2.2M
Decoding Microbial Diversity in the Human Gut MicrobiomeR35GM151045 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Jordan Adam Bisanz · 2023 to 2026
$1.5M
R01: FXR and the Gut Microbiome as Modulators of Non-Alcoholic Fatty Liver DiseaseU01DK119702 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2019 to 2023
$1.5M
Integrative Analysis of Metabolic Phenotypes (IAMP) Predoctoral Training ProgramT32DK120509 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW, PERDEW, GARY H. · 2020 to 2024
$781k
Diet-microbe interactions modulating host energy balanceR00AI147165 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BISANZ, JORDAN ADAM · 2021 to 2022
$498k
NIAID NIH HHS R00 AI147165NIDDK NIH HHS T32 DK120509NIDDK NIH HHS U01 DK119702NIGMS NIH HHS R01 GM146462NIGMS NIH HHS R35 GM151045
6 · The paper itself

Abstract

Clostridioides difficile, a major cause of antibiotic-associated diarrhea, is suppressed by the gut microbiome, but the precise mechanisms are not fully described. Through a meta-analysis of 12 human studies, we designed a synthetic fecal microbiota transplant (sFMT1) by reconstructing microbial networks negatively associated with C. difficile colonization. This lab-built 37-strain consortium formed a functional community suppressing C. difficile in vitro and in animal models. Using sFMT1 as a tractable model system, we find that bile acid 7α-dehydroxylation is not a determinant of sFMT1 efficacy while one strain performing Stickland fermentation-a pathway of competitive nutrient utilization-is both necessary and sufficient for the suppression of C. difficile, replicating the efficacy of a human fecal transplant in a gnotobiotic mouse model. Our data illustrate the significance of nutrient competition in suppression of C. difficile and a generalizable approach to interrogating complex community function through robust methods to leverage publicly available sequencing data.

Indexed as

Clostridioides difficileClostridium InfectionsFecal Microbiota TransplantationGastrointestinal MicrobiomeAnimalsAnti-Bacterial AgentsBile Acids and SaltsDisease Models, AnimalFecesHumansMiceAnti-Bacterial AgentsBile Acids and SaltsClostridioides difficilemeta-analysismicrobiomesynthetic consortia

Identifiers

PMID40037353
PMCPMC11911935

What OpenQuestion holds

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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.