Evidence map›Paper›PMID 40520644›Full record

ReviewPeerJ2025

Exosomal non-coding RNAs: key molecules in the diagnosis and treatment of coronary artery disease.

Cuixue Ma, Xinyu Gao, Kongwei Li, Yin Liu, Yuan He, Yang Zhang, Wei Lei

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in PeerJ, 2025. 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.

Cuixue MaGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xinyu GaoGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Kongwei LiGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yin LiuGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yuan HeGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yang ZhangAffiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Wei LeiGuangdong Provincial Engineering Technology Research Center for Molecular Diagnosis and Innovative Drugs Translation of Cardiopulmonary Vascular Diseases, University Joint Laboratory of Guangdong Province and Macao Region on Molecular Targets and Intervene, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is a leading cause of mortality worldwide. As aging populations grow and lifestyle changes, the incidence of CAD is escalating. Traditional biomarkers for CAD diagnosis, such as creatine kinase-muscle brain (CK-MB), troponins, and n-terminal pro b-type natriuretic peptide (NT-proBNP), are influenced by age, sex, the presence of chest pain, and renal function levels. However, since these biomarkers are also detected in many other diseases such as heart failure, chronic renal failure, pulmonary embolism, or septic shock, explore and identification of novel unique biomarkers for CAD are of clinical significance. Exosomes containing non-coding RNAs, proteins, and lipids can serve as biomarkers and regulators for regulate various biological processes. Exosomal non-coding RNAs have been identified as risk factors for CAD and pivotal elements in cellular functions, making them significant candidates for CAD diagnosis and prognosis. This review elaborates on the current understandings of CAD, highlights the important roles of exosomal non-coding RNAs in CAD diagnosis and treatment, and concludes with future perspectives.

Indexed as

Coronary Artery DiseaseExosomesRNA, UntranslatedBiomarkersHumansPrognosisBiomarkersRNA, UntranslatedCoronary artery diseaseExosomesNon-coding RNA

Identifiers

PMID40520644
PMCPMC12164816

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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.