MicroRNAs hsa-miR-618 and hsa-miR-297 Might Modulate the Pleiotropic Effects Exerted by Statins in Endothelial Cells Through the Inhibition of ROCK2 Kinase: in-silico Approach

Proprotein convertase subtilisin/kexin 9 inhibitor downregulates microRNA-130a-3p expression in hepatocytes to alleviates atherosclerosis progression

Proprotein convertase subtilisin/kexin 9 (PCSK9) inhibitors have been shown to regulate lipid metabolism and reduce the risk of cardiovascular events. This study explores the effect and potential mechanism of PCSK9 inhibitors on lipid metabolism and coronary atherosclerosis. HepG2 cells were incubated with PCSK9 inhibitor. ApoE-/- mice were fed with a high fat to construct an atherosclerosis model, and then treated with PCSK9 inhibitor (8 mg/kg for 8 w). PCSK9 inhibitor downregulated microRNA (miRNA)-130a-3p expression in a dose-dependent manner. And, miR-130a-3p could bind directly to the 3' untranslated region (3'-UTR) region of LDLR to down-regulate LDLR expression in HepG2 cells, as confirmed by the luciferase reporter gene assay. In addition, miR-130a-3p overexpression significantly attenuated the promoting effect of PCSK9 inhibitor on LDLR and DiI-LDL uptake in HepG2 cells. More importantly, in vivo experiments confirmed that PCSK9 inhibitor could significantly inhibit miR-130a-3p levels and promote LDLR expression in liver tissues, thus regulating serum lipid profile and alleviating the progression of coronary atherosclerosis. PCSK9 inhibitor could moderately improve coronary atherosclerosis by regulating miR-130a-3p/LDLR axis, providing an exploitable strategy for the treatment of coronary atherosclerosis.

A microRNA Signature for the Diagnosis of Statins Intolerance

Atherosclerotic cardiovascular diseases (ASCVD) are the leading cause of morbidity and mortality in Western societies. Statins are the first-choice therapy for dislipidemias and are considered the cornerstone of ASCVD. Statin-associated muscle symptoms are the main reason for dropout of this treatment. There is an urgent need to identify new biomarkers with discriminative precision for diagnosing intolerance to statins (SI) in patients. MicroRNAs (miRNAs) have emerged as evolutionarily conserved molecules that serve as reliable biomarkers and regulators of multiple cellular events in cardiovascular diseases. In the current study, we evaluated plasma miRNAs as potential biomarkers to discriminate between the SI vs. non-statin intolerant (NSI) population. It is a multicenter, prospective, case-control study. A total of 179 differentially expressed circulating miRNAs were screened in two cardiovascular risk patient cohorts (high and very high risk): (i) NSI (n = 10); (ii) SI (n = 10). Ten miRNAs were identified as being overexpressed in plasma and validated in the plasma of NSI (n = 45) and SI (n = 39). Let-7c-5p, let-7d-5p, let-7f-5p, miR-376a-3p and miR-376c-3p were overexpressed in the plasma of SI patients. The receiver operating characteristic curve analysis supported the discriminative potential of the diagnosis. We propose a three-miRNA predictive fingerprint (let-7f, miR-376a-3p and miR-376c-3p) and several clinical variables (non-HDLc and years of dyslipidemia) for SI discrimination; this model achieves sensitivity, specificity and area under the receiver operating characteristic curve (AUC) of 83.67%, 88.57 and 89.10, respectively. In clinical practice, this set of miRNAs combined with clinical variables may discriminate between SI vs. NSI subjects. This multiparametric model may arise as a potential diagnostic biomarker with clinical value.