Evidence mapPaperPMID 39759113Full record

ReviewGenes & diseases2025

Single nucleotide polymorphisms: Implications in the early diagnosis and targeted intervention of coronary microvascular dysfunction.

Dingyuan Tian, Jie Li, Xiaoyue Lai, Qingyuan Yang, Zhihui Zhang, Fang Deng

Abstract readReview
In one paragraph

Review in Genes & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Dingyuan TianDepartment of Pathophysiology, College of High Altitude Military Medicine, Army Medical University, Chongqing 400038, China.
Jie LiDepartment of Cardiovascular Medicine, Southwest Hospital, Army Medical University, Chongqing 400038, China.
Xiaoyue LaiDepartment of Ultrasound, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.
Qingyuan YangDepartment of Cardiovascular Medicine, Southwest Hospital, Army Medical University, Chongqing 400038, China.
Zhihui ZhangDepartment of Cardiovascular Medicine, Southwest Hospital, Army Medical University, Chongqing 400038, China.
Fang DengDepartment of Pathophysiology, College of High Altitude Military Medicine, Army Medical University, Chongqing 400038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary microvascular dysfunction (CMD) is a clinical syndrome of myocardial ischemia caused by structural and/or functional abnormalities of pre-coronary arterioles and arterioles. While genetics and other factors play a role in CMD etiology, the key pathogenic mechanism remains unclear. Currently, the diagnostic procedure for CMD is still cumbersome, and there is a lack of effective targeted interventions. Single nucleotide polymorphisms (SNPs) offer promise in addressing these issues. SNPs, reflecting common genetic variations, have garnered extensive investigation across multiple diseases. Several SNPs associated with CMD have been discovered, and some have the potential to be therapeutic targets. Nevertheless, studies on CMD-related SNPs are relatively nascent and limited in number. In this review, we summarize the previously reported CMD-associated SNPs, delineate their pathophysiological mechanisms, and predict potentially important CMD sites by analyzing the SNPs linked to diseases sharing similar pathogenetic mechanisms and risk factors, such as coronary artery disease. We aim to explore reliable genetic markers implicated in CMD risk and prognosis, thereby providing a novel approach for early diagnosis and gene-targeted interventions of CMD in subsequent studies.

Indexed as

Coronary artery diseaseCoronary microvascular dysfunctionMechanismPredictionSingle nucleotide polymorphism

Identifiers

PMID39759113
PMCPMC11696767

What Socratic holds

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Registered trials

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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 Socratic graph.