Evidence map›Paper›PMID 40643244›Full record

ReviewmSphere2025

Straining to define a healthy microbiome.

Anna M Seekatz

Abstract readReview
In one paragraph

Review in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

1 author.

Anna M SeekatzDepartment of Biological Sciences, Clemson University, Clemson, South Carolina, USA.ORCID 0000-0003-2586-7498

Funding

Niche Partitioning of Commensal Clostridia in the GutR35GM150609 · NIGMS · CLEMSON UNIVERSITY · PI Anna Maria Seekatz · 2023 to 2026
$1.5M
National Science Foundation 2025541NIGMS NIH HHS R35 GM150609NIGMS NIH HHS R35GM150609
6 · The paper itself

Abstract

In 2020, I wrote an mSphere of Influence commentary on two studies that shaped my research perspective on the human gut microbiome (McNulty et al., Sci Transl Med 3:106ra106, 2011, https://doi.org/10.1126/scitranslmed.3002701; Hamilton et al., Gut Microbes 4:125, 2013, https://doi.org/10.4161/gmic.23571). The microbiome field has continued to progress since the publication of these studies over 10 years ago, emerging as a considerable factor in almost all areas focused on disease development. My previous commentary highlighted two areas that piqued my interest early on in my career: (i) that the extant microbial community should be considered when proposing to manipulate the microbiota, such as via probiotics or fecal microbiota transplantation, and (ii) that realized (i.e., transcribed) functional changes of the microbiota may occur independent of changes in its composition. Since writing that commentary, two microbiota-based therapeutics for the treatment of

Indexed as

Gastrointestinal MicrobiomeMicrobiotaClostridium InfectionsFecal Microbiota TransplantationHumansProbioticsfecal microbiota transplantationgut microbiomegut microbiotahuman microbiomeprobiotics

Identifiers

PMID40643244
PMCPMC12306167

What OpenQuestion 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 OpenQuestion graph.