Author:

Keywords:

Science & Technology, Life Sciences & Biomedicine, Cardiac & Cardiovascular Systems, Respiratory System, Surgery, Transplantation, Cardiovascular System & Cardiology, heart transplantation, cardiac allograft vasculopathy, microRNA, prediction model, endothelium, CORONARY-ARTERY-DISEASE, SYSTEMIC INFLAMMATION, INTERNATIONAL SOCIETY, HEART-TRANSPLANTATION, EXPRESSION, MARKERS, ATHEROSCLEROSIS, MICROPARTICLES, ANGIOGENESIS, INHIBITION, Adult, Allografts, Biomarkers, Coronary Angiography, Coronary Artery Disease, Cross-Sectional Studies, Endothelium, Vascular, Female, Gene Expression Regulation, Graft Rejection, Heart Transplantation, Humans, Male, MicroRNAs, RNA, Real-Time Polymerase Chain Reaction, 1102 Cardiorespiratory Medicine and Haematology, 3201 Cardiovascular medicine and haematology, 3202 Clinical sciences

Abstract:

BACKGROUND: Cardiac allograft vasculopathy (CAV) is a limiting factor for the long-term survival of heart transplant recipients. Clinical decisions and care may be improved by the development of prediction models based on circulating biomarkers. The endothelium may play a central pathogenetic role in the development of CAV. We evaluated the hypothesis that endothelium-enriched microRNAs (miRNAs) discriminate between patients with and without CAV. METHODS: This cross-sectional study recruited 52 patients undergoing coronary angiography between 5 and 15 years after heart transplantation. Circulating levels of endothelium-enriched miRNAs (miR-21-5p, miR-92a-3p, miR-92a-1-5p, miR-126-3p, and miR-126-5p) were quantified by real-time reverse transcription polymerase chain reaction. The discriminative ability of logistic regression models was evaluated using the concordance (C) statistic. RESULTS: Median plasma levels of miR-210-5p, miR-92a-3p, miR-126-3p, and miR-126-5p were 1.82-fold (p = not significant), 1.87-fold (p < 0.05), 1.94-fold (p = 0.074), and 1.59-fold (p = 0.060) higher in patients with CAV than in patients without CAV. Recipient age (C statistic = 0.689; 95% confidence interval [CI], 0.537-0.842), and levels of serum creatinine (C statistic = 0.703; 95% CI, 0.552-0.854), miR-92a-3p (C statistic = 0.682; 95% CI, 0.533-0.831), and miR-126-5p (C statistic = 0.655; 95% CI, 0.502-0.807) predicted CAV status in univariable models. In multivariable logistic regression models with recipient age and creatinine as covariates, miR-126-5p (chi-square = 4.37(1), p = 0.037), miR-92a-3p (chi-square = 6.01(1), p = 0.014), and the combination of miR-126-5p and miR-92a-3p (chi-square = 8.16(2), p = 0.017) added significant information. The model with age, creatinine, miR-126-5p, and miR-92a-3p as covariables conferred good discrimination between patients without and with CAV (C statistic = 0.800; 95% CI, 0.674-0.926). CONCLUSIONS: Endothelium-enriched miRNAs have diagnostic ability for CAV beyond clinical predictors.