Evidence mapPaperPMID 41520281Full record

ReviewGut microbes2026

Comparative insights into the gut-heart axis: cross-species and cross-population perspectives.

Tony W H Tang, Kiramat Ullah, Jia-Jung Lee, Hung-Chih Chen, Patrick C H Hsieh

Abstract readReview
In one paragraph

Review in Gut microbes, 2026. 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. Article
  2. Review
  3. Article
  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

5 authors.

Tony W H TangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Kiramat UllahInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Jia-Jung LeeDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Hung-Chih ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Patrick C H HsiehInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.ORCID 0000-0002-8910-3596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota research has rapidly expanded our understanding of host-microbe interactions in cardiovascular diseases, yet translation of these insights remains challenged by species-specific differences and substantial population heterogeneity. In this review, we synthesize current evidence across rodents, swine, non-human primates, and multi-ethnic human cohorts to delineate conserved versus context-dependent features of the gut-heart axis. Rodent models remain indispensable for mechanistic discovery, enabling causal testing through germ-free, antibiotic-treated, and humanized microbiota platforms, whereas large-animal models better replicate human cardiac anatomy, physiology, and microbial ecology. Human studies provide essential clinical relevance, demonstrating that patients with myocardial infarction, coronary artery disease, atrial fibrillation, and heart failure harbor distinct microbial and metabolite signatures. However, these findings vary across populations due to differences in diet, lifestyle, host genetics, medication exposure, and environmental transitions. Despite taxonomic variability, several functional pathways, most notably short-chain fatty acid production, bile acid biotransformation, and aromatic amino acid metabolism generating molecules such as trimethylamine-

Indexed as

Cardiovascular DiseasesGastrointestinal MicrobiomeHeartHost Microbial InteractionsAnimalsBacteriaHumansSpecies SpecificitySwinecross-species modelsHost-microbe interactionsmulti-ethnic cohortspopulation heterogeneitytranslational microbiome research

Identifiers

PMID41520281
PMCPMC12795268

What Socratic holds

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LicenceCC BY
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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 Socratic graph.