Evidence map›Paper›PMID 42865986›Full record

ReviewFrontiers in microbiology2026

New insights into the gut-heart axis: microbial metabolite biomarkers, multi-omics, and engineered bacterial delivery systems.

Yankun Chen, Yiyu Li, Huaguan Lu, Shulei Jia, Yajie Jiang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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

5 authors.

Yankun Chen *Engineering Research Center of Innovative Drug of Traditional Chinese and Zhuang Yao Medicine, Ministry of Education, Guangxi University of Chinese Medicine, Nanning, China.
Yiyu Li *Department of Medical Biochemistry and Molecular Biology, School of Basic Medicine, Guangxi Medical University, Nanning, China.
Huaguan LuInstitute of Grand Health, Guangxi Academy of Sciences, Nanning, China.
Shulei JiaSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Yajie JiangEngineering Research Center of Innovative Drug of Traditional Chinese and Zhuang Yao Medicine, Ministry of Education, Guangxi University of Chinese Medicine, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite rapid growth in gut-heart axis research, clinical translation remains limited. This review addresses that gap by critically synthesizing recent evidence on microbiota-derived metabolites, biomarkers, multi-omics workflows, and engineered bacterial interventions in cardiovascular disease (CVD). We examine how TMAO, short-chain fatty acids, bile acids, indole derivatives, and phenylacetylglutamine exert context-dependent cardiovascular effects, and why functional microbial gene markers and integrated biomarker panels may outperform single-taxon signatures. We then evaluate multi-omics strategies, metagenomics, metabolomics, proteomics, single-cell and spatial omics, and bioinformatics integration, for causal inference and biomarker validation. Finally, we assess engineered bacterial delivery systems, including gene circuit design, colonization control, biocontainment, and safety, and outline short-, medium-, and long-term milestones for clinical translation, cost-effectiveness, and intellectual property. The key takeaway is that precision microbiome medicine in CVD will require standardized assays, prospective validation, robust regulatory pathways, and equitable commercialization. By linking mechanistic insights with translational requirements, this review provides a framework for developing microbiome-targeted diagnostics and therapeutics in CVD.

Indexed as

biomarkerscardiovascular diseasegut-heart axisgut microbiotamulti-omics

Identifiers

PMID42865986
PMCPMC13655696

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.