Evidence map›Paper›PMID 41239968›Full record

ReviewGut microbes2025

Design and application of synthetic human gut microbial communities.

Min Soo Kim, Jordan E Bisanz

Abstract readReview
In one paragraph

Review in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Gut microbiota in health and disease.Molecular biomedicine · 2026
    Review
  4. 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

2 authors.

Min Soo KimDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.
Jordan E BisanzDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.

Funding

Decoding Microbial Diversity in the Human Gut MicrobiomeR35GM151045 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Jordan Adam Bisanz · 2023 to 2026
$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
Decoding the polymicrobial interactions in bile acid metabolism by the gut microbiome.F31AI183815 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI Min Soo Kim · 2025 to 2026
$76k
NIAID NIH HHS F31 AI183815NIDDK NIH HHS T32 DK120509NIGMS NIH HHS R35 GM151045
6 · The paper itself

Abstract

The gut microbiome shapes host health through a complex network driven by both host‒microbe and microbe‒microbe interactions. Disruption of these interactions, often referred to as dysbiosis, is associated with a range of infectious and chronic diseases. Owing to the success of fecal microbiota transplantation (FMT) for the treatment of recurrent

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaDysbiosisFecal Microbiota TransplantationHost Microbial InteractionsHumansInflammatory Bowel Diseasescancercolonization resistancedefined microbial consortiumdysbiosisimmunotherapyinfectious diseaseinflammable bowel diseaselive biotherapeutic productsMicrobiomesynthetic community

Identifiers

PMID41239968
PMCPMC12622336

What Socratic 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 Socratic graph.