Evidence mapPaperPMID 39709554Full record

ArticleGut microbes2025

Faecal metaproteomics analysis reveals a high cardiovascular risk profile across healthy individuals and heart failure patients.

Chaoran Yang, Leticia Camargo Tavares, Han-Chung Lee, Joel R Steele, Rosilene V Ribeiro, Anna L Beale, Stephanie Yiallourou, Melinda J Carrington, David M Kaye, Geoffrey A Head and 2 more

Abstract read
In one paragraph

Article in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. 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

12 authors.

Chaoran YangHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash, Clayton, Australia.ORCID 0000-0001-6639-8136
Leticia Camargo TavaresHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash, Clayton, Australia.ORCID 0000-0001-7278-0999
Han-Chung LeeMonash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
Joel R SteeleMonash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
Rosilene V RibeiroCharles Perkins Centre, University of Sydney, Sydney, Australia.
Anna L BealeHeart Failure Research Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Stephanie YiallourouPreclinical Disease and Prevention Unit, Baker Heart and Diabetes Institute, Melbourne, Australia.
Melinda J CarringtonPreclinical Disease and Prevention Unit, Baker Heart and Diabetes Institute, Melbourne, Australia.
David M KayeHeart Failure Research Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Geoffrey A HeadNeuropharmacology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Ralf B SchittenhelmMonash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
Francine Z MarquesHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash, Clayton, Australia.ORCID 0000-0003-4920-9991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota is a crucial link between diet and cardiovascular disease (CVD). Using fecal metaproteomics, a method that concurrently captures human gut and microbiome proteins, we determined the crosstalk between gut microbiome, diet, gut health, and CVD. Traditional CVD risk factors (age, BMI, sex, blood pressure) explained < 10% of the proteome variance. However, unsupervised human protein-based clustering analysis revealed two distinct CVD risk clusters (low-risk and high-risk) with different blood pressure (by 9 mmHg) and sex-dependent dietary potassium and fiber intake. In the human proteome, the low-risk group had lower angiotensin-converting enzymes, inflammatory proteins associated with neutrophil extracellular trap formation and auto-immune diseases. In the microbial proteome, the low-risk group had higher expression of phosphate acetyltransferase that produces SCFAs, particularly in fiber-fermenting bacteria. This model identified severity across phenotypes in heart failure patients and long-term risk of cardiovascular events in a large population-based cohort. These findings underscore multifactorial gut-to-host mechanisms that may underlie risk factors for CVD.

Indexed as

Cardiovascular DiseasesFecesGastrointestinal MicrobiomeHeart FailureProteomicsAdultAgedBacteriaDietFemaleHumansMaleMiddle AgedProteomeRisk FactorsProteomedisease riskmachine learningMetaproteomeshort-chain fatty acids

Identifiers

PMID39709554
PMCPMC12931699

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.