Evidence map›Paper›PMID 40717103›Full record

ArticleBMC cardiovascular disorders2025

Plasma microRNA-210 is associated with VEGF-A and EphrinA3 and relates to coronary collateral circulation in patients with coronary heart disease: a cross-sectional study.

Ning Zhao, Kun Na, Wei Sun, Henghe Shi, Xiaolin Zhang, Bin Liu, Yaling Han

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Ning ZhaoState Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China.
Kun NaState Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China.
Wei SunDepartment of Cardiology, Second Norman Bethune Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, China.
Henghe ShiDepartment of Cardiology, Second Norman Bethune Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, China.
Xiaolin ZhangState Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China. xiaolindianyu75@163.com.
Bin LiuDepartment of Cardiology, Second Norman Bethune Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, China. lbin99@jlu.edu.cn.
Yaling HanState Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China. hanyaling@163.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored the interrelationships among vascular endothelial growth factor A (VEGF-A), microRNA-210 (miR-210), and EphrinA3 in the plasma of patients with coronary heart disease (CHD), and their collective influence on coronary collateral circulation (CCC) development.

methodsWe enrolled 253 patients with ≥ 90% stenosis in at least one coronary artery, stratified into good CCC (n = 99) and poor CCC (n = 154) groups according to the Rentrop grading system. Plasma concentrations of miR-210, VEGF-A, and EphrinA3 were quantified via qRT-PCR and ELISA. The associations between these biomarkers and CCC status were evaluated through correlation analysis, multivariate regression, and mediation analysis.

resultsGood CCC patients demonstrated significantly elevated plasma miR-210 (1.936 [1.099-4.118] vs. 1.272 [0.792-2.081], p < 0.001) and VEGF-A levels (3119.655 ± 850.995 vs. 2910.440 ± 713.218 pg/mL, p = 0.038), alongside reduced EphrinA3 levels (529.594 ± 143.037 vs. 584.657 ± 127.182 pg/mL, p = 0.002) compared to poor CCC patients. ROC analysis revealed AUCs of 0.656 (95% CI: 0.589-0.724) for miR-210, 0.563 (95% CI: 0.489-0.638) for VEGF-A, and 0.632 (95% CI: 0.560-0.705) for EphrinA3, which improved to 0.747, 0.696, and 0.744 respectively after adjustment for confounders. In fully adjusted multivariate models, miR-210 maintained a robust positive association with good CCC (OR: 1.558, 95% CI: 1.257-1.931, p < 0.001), with its highest tertile conferring 4.58-fold increased odds compared to the lowest tertile. Conversely, EphrinA3 exhibited a significant negative association (OR: 0.993, 95% CI: 0.990-0.997, p < 0.001), with its highest tertile linked to 79.4% reduced odds of good CCC. VEGF-A showed a modest association (OR: 1.001, p = 0.043). Notably, mediation analysis revealed that miR-210 functions as a pivotal intermediary in pathways connecting both VEGF-A and EphrinA3 to CCC formation, mediating 77.18% and 49.90% of their respective effects.

conclusionsPlasma miR-210 levels exhibit a strong association with coronary collateral circulation development and represent a promising biomarker for CCC formation in patients with severe coronary stenosis. The influence of VEGF-A and EphrinA3 on CCC formation appears to be predominantly mediated through miR-210, highlighting its central role in coronary collateralization pathways.

Indexed as

Circulating MicroRNACollateral CirculationCoronary CirculationCoronary StenosisMicroRNAsVascular Endothelial Growth Factor AAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedBiomarkersCirculating MicroRNAMicroRNAsMIRN210 microRNA, humanVascular Endothelial Growth Factor AVEGFA protein, humanCollateral circulationCoronary heart diseaseEphrinA3MicroRNA-210VEGF-A

Identifiers

PMID40717103
PMCPMC12302828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.