Evidence map›Paper›PMID 38508778›Full record

ArticleJournal of obesity & metabolic syndrome2024

Gut Microbiome and Metabolic and Immune Indices in Males with or without Evidence of Metabolic Dysregulation.

Kyle M Hatton-Jones, Nicholas P West, Mike W C Thang, Pin-Yen Chen, Peter Davoren, Allan W Cripps, Amanda J Cox

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2024. 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

7 authors.

Kyle M Hatton-JonesSchool of Pharmacy and Medical Science, Griffith University, Southport, Australia.
Nicholas P WestSchool of Pharmacy and Medical Science, Griffith University, Southport, Australia.
Mike W C ThangQCIF Facility for Advanced Bioinformatics, Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Australia.
Pin-Yen ChenSchool of Pharmacy and Medical Science, Griffith University, Southport, Australia.
Peter DavorenDiabetes and Endocrinology, Gold Coast University Hospital, Southport, Australia.
Allan W CrippsMenzies Health Institute Queensland, Griffith University, Southport, Australia.
Amanda J CoxSchool of Pharmacy and Medical Science, Griffith University, Southport, Australia.ORCID https://orcid.org/0000-0003-3684-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The contributions of the gut microbiota to obesity and metabolic disease represent a potentially modifiable factor that may explain variation in risk between individuals. This study aimed to explore relationships among microbial composition and imputed functional attributes, a range of soluble metabolic and immune indices, and gene expression markers in males with or without evidence of metabolic dysregulation (MetDys). Methods: This case-control study included healthy males (n=15; 41.9±11.7 years; body mass index [BMI], 22.9±1.2 kg/m Results: In addition to elevated values in a range of traditional metabolic, adipokine and inflammatory indices in the MetDys group, 23 immunomodulatory genes were significantly altered in the MetDys group. Overall microbial diversity did not differ between groups; however, a trend for a higher relative abundance of the Conclusion: These findings confirm the need for ongoing investigations in human clinical cohorts to further resolve the relationships between the gut microbiota and metabolic and immune markers and risk for metabolic disease.

Indexed as

InflammationMetabolic diseasesMicrobiotaObesity

Identifiers

PMID38508778
PMCPMC11000514

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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.