👤 Asdrubal Ulloa

RNA-based therapies have emerged as a transformative approach in the management of hypercholesterolemia and coronary artery disease by directly targeting molecular pathways involved in lipid regulation. These treatments focus on silencing key genes such as PCSK9, ANGPTL3, ApoB, and Lp(a), achieving substantial reductions in low-density lipoprotein cholesterol (LDL-C), triglycerides, and other atherogenic lipoproteins. Small interfering RNA (siRNA) and antisense oligonucleotides (ASOs) provide highly specific post-transcriptional gene suppression, while advances in chemical stabilization and GalNAc conjugation have enhanced hepatocyte delivery and prolonged therapeutic action. Approved agents such as inclisiran demonstrate sustained LDL-C reductions of approximately 50% with only two to three injections annually, improving adherence and offering an alternative for patients intolerant to statins or unable to reach lipid targets with conventional therapy. Pelacarsen and other emerging antisense therapies show promise for reducing lipoprotein(a), an independent cardiovascular risk factor, while siRNAs targeting ANGPTL3 offer prolonged lipid-lowering effects beyond those achieved with monoclonal antibodies. Despite these advantages, challenges remain. Hepatic safety concerns have halted the development of some agents, such as vupanorsen, and long-term cardiovascular outcome data for several therapies, including inclisiran, are still in development. Cost and accessibility also limit broad adoption, emphasizing the need for cost-effective strategies and long-term surveillance. Nevertheless, current evidence supports the integration of RNA-based therapies into modern lipid-lowering algorithms, particularly for high-risk patients, while ongoing research continues to refine delivery systems, enhance safety, and expand therapeutic indications. Show less

The melanocortin receptor 4 (MC4R) participates in the control of appetite at the level of the central nervous system, through the leptin-melanocortin pathway. An association between different polymorphisms of the MC4R gene and obesity has been reported. However, there are few studies of the rs483145 single nucleotide polymorphism (SNP) of this gene. To investigate its prevalence and association with adiposity markers in Chilean adults. The prevalence of SNP rs483145, of the MC4R gene, was determined in 259 participants of the GENADIO study (genes, environment, diabetes and obesity) by means of real-time polymerase chain reaction (PCR). The association between the risk allele of MC4R (A) and adiposity markers (body weight, body mass index, fat mass percentage, hip circumference, waist circumference, waist-to-hip ratio) was performed by linear regression analysis and adjusted for confusion variables (socio-demographic and physic activity) using three statistical models. It was determined that the prevalence of the risk allele (A) of the SNP rs483145 of the MC4R gene is 24.5% in the Chilean adult population included in this study, without finding an association with any of the adiposity markers studied, both in adjusted and unadjusted models. The presence of the risk allele of SNP rs483145 of the MC4R gene is not associated with adiposity markers in the Chilean adult population studied. New studies with a bigger sample size will be necessary to confirm these results. Show less