Proprotein Convertase Subtilisin/Kexin Type 9 Inhibition: The Big Step Forward in Lipid Control

The breakthrough discovery of proprotein convertase subtilisin/kexin type 9 (PCSK9) 20 years ago revolutionised the current understanding of cholesterol homeostasis. Genetic studies have shown that gain-of-function mutations in PCSK9 lead to elevated LDL cholesterol and increased risk of atherosclerotic cardiovascular disease, while loss-of-function mutations in PCSK9 result in lifelong low levels of circulating LDL cholesterol and dramatic reduction in atherosclerotic cardiovascular disease. Therapies inhibiting PCSK9 lead to a higher density of LDL receptor on the surface of hepatocytes, resulting in greater ability to clear circulating LDL. Thus far, randomised controlled trials have shown that subcutaneous fully human monoclonal antibodies targeting PCSK9, evolocumab and alirocumab, and PCSK9 silencing with inclisiran result in drastic reductions in LDL cholesterol. Additionally, several novel strategies to target PCSK9 are in development, including oral antibody, gene silencing, DNA base editing and vaccine therapies. This review highlights the efficacy, safety and clinical use of these various approaches in PCSK9 inhibition

Hepatoblastoma: A Need for Cell Lines and Tissue Banks to Develop Targeted Drug Therapies

Limited research exists regarding the most aggressive forms of hepatoblastoma. Cell lines of the rare subtypes of hepatoblastoma with poor prognosis are not only difficult to attain, but are challenging to characterize histologically. A community approach to educating parents and families of the need for donated tissue is necessary for scientists to have access to resources for murine models and drug discovery. Herein we describe the currently available resources, the today’s existing gaps in research, and the path to move forward for uniform cure of hepatoblastoma

Gender Identity, Hormone Therapy, and Cardiovascular Disease Risk

Transgender individuals represent a medically underserved and under researched population. There is a growing number of studies illustrating the importance of hormone therapy treatments in transgender men and women to assist ameliorating gender dysphoria and promoting well-being. However, the cardiovascular effects of these hormones are controversial. Large longitudinal epidemiological studies of cardiovascular event outcomes in these populations do not exist. In addition, studies of cardiovascular complications of transgender hormone therapy are limited in number and complicated by poor control of medication regimen, presence of gender confirming surgery, use of prescribed medications for prevailing conditions, and alcohol, smoking or illicit substance use, and comorbidities, such as HIV infection. The following provides an overview of current guidelines for hormone therapy regimens used by transgender individuals, as well as what is known about the use of exogenous hormones on the cardiovascular system and cardiovascular disease risk. Several gaps in our understanding of the cardiovascular effects of endogenous and exogenous hormones in treated transgender individuals are identified, which provide direction for future study

Association of Lp(a) (Lipoprotein[a]) and Hypertension in Primary Prevention of Cardiovascular Disease: The MESA

BackgroundThis study explored the longitudinal relationship of Lp(a) (lipoprotein[a]) and hypertension to cardiovascular outcomes in a large multiethnic cohort free of baseline cardiovascular disease.MethodsIndividuals from the MESA (Multi-Ethnic Study of Atherosclerosis; N=6674) were grouped as follows: group 1: Lp(a) <50 mg/dL and no hypertension; group 2: Lp(a) ≥50 mg/dL and no hypertension; group 3: Lp(a) <50 mg/dL and hypertension; and group 4: Lp(a) ≥50 mg/dL and hypertension. Kaplan-Meier curves and multivariable Cox proportional hazard models were used to assess the relationship of Lp(a) and hypertension with time to cardiovascular disease events.ResultsMean follow-up time was 13.9 (5.0) years and 809 participants experienced a cardiovascular disease event. A statistically significant interaction was found between Log[Lp(a)] and hypertension status (P=0.091). Compared with the reference group (Lp[a] <50 mg/dL and no hypertension), those with Lp[a] ≥50 mg/dL and no hypertension had no increased risk for cardiovascular disease events (hazard ratio, 1.09 [95% CI, 0.79-1.50]). However, those with Lp(a) <50 mg/dL and hypertension or Lp(a) ≥50 mg/dL and hypertension demonstrated a statistically significant increase in risk compared to the reference group (hazard ratio, 1.66 [95% CI, 1.39-1.98]) and (hazard ratio, 2.07 [95% CI, 1.63-2.62]), respectively. Among those with hypertension, Lp(a) was associated with a significant increase in cardiovascular disease risk (hazard ratio, 1.24 [95% CI, 1.01-1.53]).ConclusionsAlthough the major contribution to cardiovascular risk was hypertension, elevated Lp(a) significantly modified the association of hypertension with cardiovascular disease. More research is needed to understand mechanistic links among Lp(a), hypertension, and cardiovascular disease

Abacavir antiretroviral therapy and indices of subclinical vascular disease in persons with HIV

Indices of cardiovascular disease (CVD) risk, vascular endothelial dilation, arterial stiffness and endothelial repair were examined in persons with HIV (PWH) on an antiretroviral therapy (ART) that included abacavir (ABC+) in comparison with PWH on ART without abacavir (ABC-), and with HIV seronegative (HIV-) individuals. The 115 participants (63% men), aged 30-50 years, did not have CVD, metabolic, endocrine, or chronic renal conditions. PWH were on stable ART for six-months or more. Vascular assessments included flow-mediated dilation (FMD), aortic, radial and femoral arterial stiffness (cAIx, crPWV, cfPWV), and thigh and calf arterial compliance (Vmax50). Endothelial repair was indexed by endothelial progenitor cell colony forming units (EPC-CFU). Traditional CVD risk measures included blood pressure, central adiposity, lipids, insulin resistance (HOMA-IR), CRP and ASCVD score. Analyses controlled for demographics (age, sex, education), medications (antihypertensive, statin/fibrate, antipsychotic), and substance abuse (ASSIST). No group differences were observed in central adiposity, HOMA-IR, CRP, or ASCVD risk score. However, the ABC- group displayed greater dyslipidemia. The ABC+ group displayed no difference on FMD, cAIx, cfPWV or calf Vmax50 compared with other groups. When CD4 count and viral load were controlled, no additional differences between the ABC+ and ABC- groups emerged. Analyses of crPWV and thigh Vmax50 suggested supported by a trend toward lower EPC-CFU in the HIV+ groups than the HIV- group. Findings indicate that ABC treatment of 30-50 year-old PWH on stable ART is not likely to contribute in a robust way to higher CVD risk

Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma.

BackgroundCancer patients with advanced disease routinely exhaust available clinical regimens and lack actionable genomic medicine results, leaving a large patient population without effective treatments options when their disease inevitably progresses. To address the unmet clinical need for evidence-based therapy assignment when standard clinical approaches have failed, we have developed a probabilistic computational modeling approach which integrates molecular sequencing data with functional assay data to develop patient-specific combination cancer treatments.MethodsTissue taken from a murine model of alveolar rhabdomyosarcoma was used to perform single agent drug screening and DNA/RNA sequencing experiments; results integrated via our computational modeling approach identified a synergistic personalized two-drug combination. Cells derived from the primary murine tumor were allografted into mouse models and used to validate the personalized two-drug combination. Computational modeling of single agent drug screening and RNA sequencing of multiple heterogenous sites from a single patient's epithelioid sarcoma identified a personalized two-drug combination effective across all tumor regions. The heterogeneity-consensus combination was validated in a xenograft model derived from the patient's primary tumor. Cell cultures derived from human and canine undifferentiated pleomorphic sarcoma were assayed by drug screen; computational modeling identified a resistance-abrogating two-drug combination common to both cell cultures. This combination was validated in vitro via a cell regrowth assay.ResultsOur computational modeling approach addresses three major challenges in personalized cancer therapy: synergistic drug combination predictions (validated in vitro and in vivo in a genetically engineered murine cancer model), identification of unifying therapeutic targets to overcome intra-tumor heterogeneity (validated in vivo in a human cancer xenograft), and mitigation of cancer cell resistance and rewiring mechanisms (validated in vitro in a human and canine cancer model).ConclusionsThese proof-of-concept studies support the use of an integrative functional approach to personalized combination therapy prediction for the population of high-risk cancer patients lacking viable clinical options and without actionable DNA sequencing-based therapy