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Background: Medications leveraging the leptin, PCSK9, ANGPTL3 and FABP4 pathways are being developed for the treatment of insulin resistance and/or lipid disorders. To evaluate whether these pathways are independent from each other, we assessed the levels of PCSK9, ANGPTL3 and FABP4, in normal subjects and subjects exhibiting HIV and highly active antiretroviral therapy (HAART) induced metabolic syndrome with lipoatrophy and hypoleptinemia. Studies were performed at baseline and during food deprivation for three days with either a placebo or leptin administration at physiological replacement doses to correct fasting induced acute hypoleptinemia and in pharmacological doses.
Methods: PCSK9, ANGPTL3, FABP4 levels and their correlations to lipoproteins-metabolites were assessed in randomized placebo controlled cross-over studies: a) in 15 normal-weight individuals undergoing three-day admissions in the fed state, in complete fasting with placebo and in complete fasting with leptin treatment in physiologic replacement doses (study 1), b) in 15 individuals day baseline in a fed and three fasting admissions for three days with leptin administered in physiologic, supraphysiologic and pharmacologic doses (study 2), c) in 7 hypoleptinemic men with HIV and HAART-induced lipoatrophy treated with leptin or placebo for two months in the context of a cross over randomized trial (study 3).
Results: Circulating ANGPTL3, PCSK9 and FABP4 were markedly elevated in HIV-lipoatrophy and not affected by leptin treatment. PCSK9 levels correlated with lipids and markers of lipid utilization and lipolysis. ANGPTL3 levels correlated with HDL particles and their lipid composition. FABP4 levels were negatively associated with HDL diameter (HDL-D) and composition. PCSK9 and ANGPTL3 levels decreased during food deprivation by ~65 % and 30 % respectively. Leptin administration at physiologic, supraphysiologic and pharmacologic doses did not affect PCSK9, ANGPTL3 and FABP4 levels.
Conclusions: PCSK9, ANGPTL3 and FABP4 levels are associated with markers of lipid metabolism and are higher in HIV-lipoatrophy. PCSK9 and ANGPTL3 but not FABP4 decrease in response to food deprivation. PCSK9 and ANGPTL3 regulation is leptin-independent, suggesting independent pathways for lipid regulation. Thus, combining treatments of leptin with PCSK9 and/or ANGPTL3 inhibitors for metabolic diseases should have additive effects and merit further investigation.
Clinical Trial Information: ClinicalTrials.gov no. NCT00140231, NCT00140205, NCT00140244.
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http://dx.doi.org/10.1016/j.metabol.2022.155265 | DOI Listing |
Eur Heart J
September 2025
Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
Cardiovascular disease remains a major global health challenge, with dyslipidaemia being a key modifiable risk factor. While low density lipoprotein cholesterol (LDL-C) is the primary target for lipid-lowering therapies, recent evidence highlights the importance of triglycerides, apolipoprotein B (apoB), and lipoprotein(a) [Lp(a)] for residual cardiovascular risk. Current lipid-lowering therapies target key enzymes and proteins involved in cholesterol and lipid metabolism.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Otorhinolaryngology, Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.
An increasing body of research indicates an association between lipid-lowering medications and sensorineural hearing loss (SNHL), although there is still controversy. Therefore, the aim of this study is to investigate the genetic correlation between different lipid-lowering therapeutic gene targets and SNHL. The genetic association between lipids, lipid-lowering drug target genes, and SNHL was analyzed using a 2-sample Mendelian randomization approach.
View Article and Find Full Text PDFAm J Cardiovasc Drugs
August 2025
Richmond University Medical Center/Mount Sinai, Staten Island, NY, USA.
Despite the well-established benefits of statin therapy in reducing atherosclerotic cardiovascular disease (ASCVD) risk, many patients fail to achieve recommended low-density lipoprotein cholesterol (LDL-C) targets or experience statin intolerance, necessitating alternative approaches. This review examines advances in non-statin lipid-lowering therapies, focusing on proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors (monoclonal antibodies and inclisiran), bempedoic acid, and other non-statin lipid medications. We evaluate their mechanisms of action, clinical efficacy, and safety profiles on the basis of landmark trials.
View Article and Find Full Text PDFPharmaceuticals (Basel)
August 2025
Faculty of Pharmacy, "Victor Babeș" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timișoara, Romania.
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, with hypercholesterolemia identified as a major, but modifiable risk factor. This review serves as the second part of a comprehensive analysis of dyslipidemia management. The first installment laid the groundwork by detailing the key pathophysiological mechanisms of lipid metabolism, the development of atherosclerosis, major complications of hyperlipidemia, and the importance of cardiovascular risk assessment in therapeutic decision-making.
View Article and Find Full Text PDFBiochem Genet
August 2025
Pediatric Metabolism and Nutrition Department, Cukurova University, Adana, Turkey.
Hypertriglyceridemia is mostly associated with secondary conditions in children but can also result from monogenic disorders. The most prevalent genes identified as the underlying reason for impaired clearance of triglycerides from plasma by genome-wide association studies are the LPL, APOC2, APOA5, LMF1, APOE and GPIHBP1 genes. In this study, 26 pediatric patients with primary hypertriglyceridemia, 12 of whom were severe, were screened for monogenic causes via a next-generation sequencing panel that included 25 genes, namely, ABCA1, ABCG5, ABCG8, ANGPTL3, APOA1, APOA5, APOB, APOC2, APOC3, APOE, CETP, GPD1, GPIHBP1, LCAT, LDLR, LDLRAP1, LIPA, LIPC, LMF1, LPL, MTTP, NPC1L1, OSBPL5, PCSK9 and SAR1B.
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