Evidence map›Paper›PMID 39355350›Full record

ArticleFrontiers in cardiovascular medicine2024

Integrating genomic profiling to clinical data: assessing the impact of CD147 expression on plaque stability.

Yu Chen, Si Lu, Yong Ren, Jun Fan, Chun-Ping Bao, Xin Zhang, Yan-Kun Shi, Yan Wang, Li-Xia Yang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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

9 authors.

Yu Chen *Department of Cardiology, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.
Si Lu *Department of Clinical Medical College, Dali University, Dali, China.
Yong RenDepartment of Clinical Medical College, Dali University, Dali, China.
Jun FanDepartment of Cardiology, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.
Chun-Ping BaoDepartment of Cardiology, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.
Xin ZhangDepartment of Pulmonary and Critical Care Medicine, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.
Yan-Kun ShiDepartment of Cardiology, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.
Yan WangDepartment of Cardiology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Li-Xia YangDepartment of Cardiology, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute Coronary Syndrome (ACS) continues to be a leading cause of death and illness worldwide. Differentiating stable from unstable coronary plaques is essential for enhancing patient outcomes. This research investigates the role of CD147 as a biomarker for plaque stability among coronary artery disease patients. Methods: The study began with high-throughput sequencing of blood samples from six patients, divided equally between those with Stable Angina (SA) and Unstable Angina (UA), followed by bioinformatics analysis. Expanding upon these findings, the study included 31 SA patients and 30 patients with ACS, using flow cytometry to examine CD147 expression on platelets and monocytes. Additionally, logistic regression was utilized to integrate traditional risk factors and evaluate the predictive value of CD147 expression for plaque stability. Results: Initial sequencing displayed a notable difference in CD147 expression between SA and UA groups, with a significant increase in UA patients. Further analysis confirmed that elevated platelet CD147 expression was strongly associated with unstable plaques (OR = 277.81, Conclusion: Elevated CD147 expression on platelets is a crucial biomarker for identifying unstable coronary artery plaques, offering insights into patient risk stratification and the development of targeted treatment strategies. This underscores the pivotal role of molecular research in understanding and managing coronary artery disease, paving the way for improved clinical outcomes.

Indexed as

acute coronary syndromebioinformaticsBSGCD147cross-sectional studyplateletsstable anginaunstable angina

Identifiers

PMID39355350
PMCPMC11444025

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