Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jan 10:24:200367.
doi: 10.1016/j.ijcrp.2025.200367. eCollection 2025 Mar.

Expression level of miR-146a is associated with the coronary lesion severity and clinical prognosis in patients with unstable angina pectoris

Binbing Shi  1 , Xiaotong Wang  2 , Tongneng Xue  3 , Jie Liu  4 , Wanling Wu  4 , Yuanyuan Luo  4 , Hong Zhu  4 , Defeng Pan  4
Affiliations

Expression level of miR-146a is associated with the coronary lesion severity and clinical prognosis in patients with unstable angina pectoris

Binbing Shi et al. Int J Cardiol Cardiovasc Risk Prev. .

Abstract

Objective: To investigate the association between plasma miR-146a expression levels, severity of coronary lesions, and clinical prognosis in patients with unstable angina pectoris (UAP).

Methods: A total of 100 patients with UAP and 100 controls were selected for assessment of plasma miRNA-146a expression levels. We assessed the severity of coronary lesions in patients with UAP using the Gensini score. Additionally, we analyzed the correlation between miR-146a expression and the degree of coronary artery stenosis in patients with UAP. The incidence of major adverse cardiovascular events (MACEs) was followed-up for 48 months after hospitalization and discharge. The median grouping method was employed to categorize patients into high- and low-expression groups based on their miR-146a levels. Thereafter, the incidence of MACEs in these groups was analyzed using the Kaplan-Meier method.

Results: The plasma expression level of miR-146a in the UAP group was 1.8-fold greater than that in the control group (Z = 6.970, P < 0.001) and correlated with the severity of coronary lesions; a high expression level was associated with a higher Gensini score (P < 0.05). Patients with high miR-146a expression levels showed a significantly higher incidence of MACEs than those with low miR-146a expression levels (log-rank test: P = 0.004).

Conclusion: Plasma miR-146a expression levels in patients with UAP correlated with the severity of coronary lesions, and patients with high miR-146a expression levels had poorer clinical prognoses than those with lower expression levels.

Keywords: Prognosis; Unstable angina pectoris; miRNA-146a.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Differences in the plasma miR-146a expression levels between the two groups.
Fig. 2
Fig. 2
Kaplan–Meier analysis of the cumulative incidence of MACEs.
See this image and copyright information in PMC

References

    1. Byrne R.A., Rossello X., Coughlan J.J., Barbato E., Berry C., Chieffo A., et al. ESC Scientific Document Group. 2023 ESC Guidelines for the management of acute coronary syndromes. Eur. Heart J. 2023 Oct 12;44(38):3720–3826. doi: 10.1093/eurheartj/ehad191. - DOI - PubMed
    1. Graham C.A., Tsay S.X., Rotheray K.R., Rainer T.H. Validation of the TIMI risk score in Chinese patients presenting to the emergency department with chest pain. Int. J. Cardiol. 2013;168:597–598. doi: 10.1016/j.ijcard.2013.01.233. - DOI - PubMed
    1. Dong W., Huang Z., Ji L., Duan H. A genetic fuzzy system for unstable angina risk assessment. BMC Med Inform Decis Mak. 2014 Feb 18;14:12. doi: 10.1186/1472-6947-14-12. - DOI - PMC - PubMed
    1. Elgebaly S.A., Christenson R.H., Kandil H., El-Khazragy N., Rashed L., Yacoub B., et al. Nourin-dependent miR-137 and miR-106b: novel early inflammatory Diagnostic biomarkers for unstable angina patients. Biomolecules. 2021 Feb 28;11(3):368. doi: 10.3390/biom11030368. - DOI - PMC - PubMed
    1. Zhang B., Pan X., Wang Q., Cobb G.P., Anderson T.A. Computational identification of microRNAs and their targets. Comput. Biol. Chem. 2006 Dec;30(6):395–407. doi: 10.1016/j.compbiolchem.2006.08.006. - DOI - PubMed

LinkOut - more resources