The Pharmacologic Role and Clinical Utility of PCSK9 Inhibitors for the Treatment of Hypercholesterolemia

Pharmacogenomics: Driving Personalized Medicine

Personalized medicine tailors therapies, disease prevention, and health maintenance to the individual, with pharmacogenomics serving as a key tool to improve outcomes and prevent adverse effects. Advances in genomics have transformed pharmacogenetics, traditionally focused on single gene-drug pairs, into pharmacogenomics, encompassing all "-omics" fields (e.g., proteomics, transcriptomics, metabolomics, and metagenomics). This review summarizes basic genomics principles relevant to translation into therapies, assessing pharmacogenomics' central role in converging diverse elements of personalized medicine. We discuss genetic variations in pharmacogenes (drug-metabolizing enzymes, drug transporters, and receptors), their clinical relevance as biomarkers, and the legacy of decades of research in pharmacogenetics. All types of therapies, including proteins, nucleic acids, viruses, cells, genes, and irradiation, can benefit from genomics, expanding the role of pharmacogenomics across medicine. Food and Drug Administration approvals of personalized therapeutics involving biomarkers increase rapidly, demonstrating the growing impact of pharmacogenomics. A beacon for all therapeutic approaches, molecularly targeted cancer therapies highlight trends in drug discovery and clinical applications. To account for human complexity, multicomponent biomarker panels encompassing genetic, personal, and environmental factors can guide diagnosis and therapies, increasingly involving artificial intelligence to cope with extreme data complexities. However, clinical application encounters substantial hurdles, such as unknown validity across ethnic groups, underlying bias in health care, and real-world validation. This review address the underlying science and technologies germane to pharmacogenomics and personalized medicine, integrated with economic, ethical, and regulatory issues, providing insights into the current status and future direction of health care. SIGNIFICANCE STATEMENT: Personalized medicine aims to optimize health care for the individual patients with use of predictive biomarkers to improve outcomes and prevent adverse effects. Pharmacogenomics drives biomarker discovery and guides the development of targeted therapeutics. This review addresses basic principles and current trends in pharmacogenomics, with large-scale data repositories accelerating medical advances. The impact of pharmacogenomics is discussed, along with hurdles impeding broad clinical implementation, in the context of clinical care, ethics, economics, and regulatory affairs.

Inhibition of PCSK9 Improves the Development of Pulmonary Arterial Hypertension Via Down-Regulating Notch3 Expression

BACKGROUND

Pulmonary arterial hypertension (PAH) is a fatal disease characterized by continuous constriction and occlusion of small pulmonary arteries, leading to the development of right ventricular failure and death. Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a kind of serine protease enzyme that increases low-density lipoprotein cholesterol (LDLC) levels through degrading low-density lipoprotein cholesterol receptors (LDLr). However, whether inhibition of PCSK9 can alleviate PAH has not been reported.

METHODS AND RESULTS

We reported that PCSK9 expression was up-regulated in lung tissues of PAH patients. In addition, we used PCSK9 monoclonal antibody subcutaneously to inhibit PCSK9 expression in mice exposed to chronic hypoxia (10%) in combination with SU5416, a VEGF receptor inhibitor. Hypoxia plus SU5416-induced PAH was attenuated in PCSK9 monoclonal antibody-treated mice compared with wild-type mice. PCSK9 inhibited pulmonary vascular remodeling in mice. Moreover, PCSK9 knockdown significantly altered the proliferation and migration of hypoxia-induced PASMCs. We also found that PCSK9 monoclonal antibody inhibited Notch3 expression in vivo and in vitro.

CONCLUSION

Our results suggest that the PCSK9-Notch3 signaling pathway is critical for the proliferation and migration of PASMCs and provides a potential drug target for the treatment of PAH.

Impact of Berberine or Berberine Combination Products on Lipoprotein, Triglyceride and Biological Safety Marker Concentrations in Patients with Hyperlipidemia: A Systematic Review and Meta-Analysis

Monoclonal antibody Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9) inhibitors reduce total cholesterol (TC), low density lipoproteins (LDL), high density lipoproteins (HDL), and triglycerides (TG). We assessed the ability of berberine, a natural PCSK9 inhibitor, to reduce lipid concentrations either alone or combined with other nutraceuticals. We searched PubMed, Scopus and EMBASE from inception to September 30th, 2022 for randomized controlled trials (RCTs) assessing 8-18 wk of berberine therapy on. A total of 41 RCTs with 4,838 patients met our inclusion criteria. Berberine containing products significantly reduced TC (MD -17.42 mg/dL [95%CI: -22.91 to -11.93]), LDL (MD -14.98 mg/dL [95%CI: -20.67 to -9.28]), and TG (MD -18.67 mg/dL [95%CI: -25.82 to -11.51]) while raising HDL (MD 1.97 mg/dL [95%CI: 1.16 to 2.78]) versus control (I2 > 72% for all analyses). Products with berberine alone had less robust effects on TC (MD -12.08 mg/dL [95%CI: -21.79 to -2.37]), LDL (MD -9.26 mg/dL [95%CI: -20.31 to 1.78]), and HDL (MD 1.38 mg/dL [95%CI: -1.27 to 4.03]) but TG effects were similar (MD -17.40 mg/dL [95%CI: -32.57 to -2.23]). Berberine along with red yeast rice reduced TC (MD -19.62 mg/dL [95%CI: -28.56 to -10.68]) and LDL (MD -18.79 mg/dL [95%CI: -28.03 to -9.54]) as did combination therapy with Silybum maranium for TC (MD -31.81 mg/dL [95%CI: -59.88 to -3.73]) and LDL (MD -30.82 mg/dL [95%CI: -56.48 to -5.16]). Berberine, alone or with other nutraceuticals, can provide a modest positive impact on lipid concentrations.

Lipid-Lowering Therapy and Low-Density Lipoprotein Cholesterol (LDL-C) Goal Achievement in High-Cardiovascular-Risk Patients in Fuzhou, China

PURPOSE

This study aims to analyze the treatment patterns and goal attainment of low-density lipoprotein cholesterol (LDL-C) among patients with atherosclerotic cardiovascular disease (ASCVD) and diabetes mellitus (DM) in the real-world setting in Fuzhou, China.

METHODS

Patients aged ≥20 years with a valid LDL-C measurement (index date) in 2016 were selected from National Healthcare Big Data in Fuzhou, China. Patients were stratified into mutually exclusive cardiovascular risk categories: ASCVD (including recent acute coronary syndrome [ACS], chronic coronary heart disease [CHD], stroke, and peripheral arterial disease [PAD]), and DM alone (without ASCVD). Lipid-modifying medication and LDL-C attainment at the index date were assessed.

RESULTS

A total of 21 989 patients met the inclusion criteria, including 17 320 (78.8%) with ASCVD and 4669 (21.2%) with DM alone; 47.7% of patients received current statin therapy in the overall cohort (53.5% in ASCVD, 26.5% for DM); 20.5% ASCVD population achieved LDL-C target with the highest in patients with recent ACS (33.8%), followed by chronic CHD (21.2%), PAD (20.9%), and ischemic stroke (17.3%); 49.0% of patients with DM achieved LDL-C target. Higher LDL-C attainment was observed in high-intensity statin and a combination of statin and nonstatin groups. Atorvastatin was the most commonly used statin with the highest LDL-C attainment, followed by rosuvastatin.

CONCLUSION

Compared with previous studies in China, our study found a relatively low statin use and LDL-C target attainment, but higher than similar studies in Europe. Guidelines should be well complied and more prescription of high-intensity statin or statin and nonstatin combination should be advocated.