Association of plasma microRNA-16-5p and abdominal aortic calcification in maintenance hemodialysis patients

• DOI: 10.1080/0886022x.2024.2368091
• Publication Date: 2024-07-25T07:55:02Z
• Authors: Qiaojing Liang; Chen Fu; Yingjie Liu; Wenhu Liu; Weikang Guo
• Keywords: Male; renal failure; 0303 health sciences; hemodialysis; microRNA; Hemodialysis and Peritoneal Dialysis; Middle Aged; Diseases of the genitourinary system. Urology; MicroRNAs; 03 medical and health sciences; Cross-Sectional Studies; Logistic Models; ROC Curve; Renal Dialysis; Risk Factors; Humans; Kidney Failure, Chronic; Female; RC870-923; Aorta, Abdominal; Vascular Calcification; chronic kidney disease; Vascular calcification; Aged

Recent studies have shown that microRNA-16-5p (miR-16-5p) plays a crucial role in the pathological mechanism of vascular calcification. Nevertheless, the expression profile of miR-16-5p in maintenance hemodialysis (MHD) patients who are predisposed to vascular calcification remains unknown. This study aims to investigate the potential associations between calcification risk and serum miR-16-5p expression among MHD patients. This cross-sectional study involved 132 MHD patients from the Dialysis Center of Beijing Friendship Hospital between 1 January 2019 and 31 December 2020. The degree of calcification in MHD patients was assessed using the Abdominal aortic calcification (AAC) score, and miR-16-5p expression was quantified using quantitative real-time polymerase chain reaction (qRT-PCR) with the 2-ΔΔCT method. Statistical analyses, including spearman correlation, linear regression and logistic regression analysis were used to explore the associations between laboratory parameters and AAC score. Calcifications were observed in 79(59.80%) patients. The linear regression showed a one-quartile decrease in miR-16-5p expression led to a significant increase in the AAC score by 5.336 (95% CI: 2.670-10.662, p = 0.000). Multivariate logistic regression analyses revealed that decreased miR-16-5p expression, reduced serum urea nitrogen, elevated white blood cell count, and longer dialysis vintage were significantly associated with an increased incidence of vascular calcification. The Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) of the miR-16-5p-based logistic regression model was 0.842 (95% CI: 0.771-0.913, p = 0.000). There was an independent association between miR-16-5p expression and calcification degree. Lower miR-16-5p expression levels seem to be a potential risk factor of vascular calcification in MHD patients.