Evidence map›Paper›PMID 41924307›Full record

ArticleGut microbes reports2026

Cafeteria diet exposure, and not weight gain propensity, impacts gut microbiota of rats - a within laboratory meta-analysis.

Shyam Prakaash Bhagavata Srinivasan, Michael D Kendig, Kyoko Hasebe, Nadeem O Kaakoush, Margaret J Morris, Sarah-Jane Leigh

Abstract read
In one paragraph

Article in Gut microbes reports, 2026. 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.

No citing paper in PubMed yet.

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

6 authors.

Shyam Prakaash Bhagavata SrinivasanDepartment of Pharmacology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.
Michael D KendigDepartment of Pharmacology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-3337-6402
Kyoko HasebeDepartment of Pharmacology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-4400-8499
Nadeem O KaakoushDepartment of Pathology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-4017-1077
Margaret J MorrisDepartment of Pharmacology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-2285-5117
Sarah-Jane LeighDepartment of Pharmacology, School of Biomedical Sciences, UNSW, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-6776-6487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical studies have implicated the microbiota in body weight control, but its translation to humans remains uncertain, partly owing to methodological variability in assessing the relationship between diet-induced obesity and microbiota composition. We performed an internal meta-analysis to determine whether the propensity for diet-induced obesity, defined by relative weight gain due to a high-fat, high-sugar "cafeteria" diet, is associated with changes in microbiota composition. We collated fecal microbiome data from 12 studies using our validated model of diet-induced obesity (208 male and 74 female Sprague-Dawley rats; 3.5-13 weeks of chow (control) or cafeteria diet) and determined whether the alpha diversity and composition of the gut microbiota differed between obese-prone and obese-resistant rats. We found consistent effects of cafeteria diet exposure on the microbiota, with marked changes in overall composition, and reduced microbial richness and evenness. Furthermore, specific obesity-associated microbial genera, such as

Indexed as

cafeteria dietgut microbiotaMeta-analysisobesityobesity pronenesssugarweight gain

Identifiers

PMID41924307
PMCPMC13037442

What Socratic holds

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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 Socratic graph.