The impact of carvedilol and metoprolol on serum lipid concentrations and symptoms in patients with hyperthyroidism

The Promises of Proteomics and Metabolomics for Unravelling the Mechanism and Side Effect Landscape of Beta-Adrenoceptor Antagonists in Cardiovascular Therapeutics

Cardiovascular medicine witnessed notable advances for the past decade. Multiomics research offers a new lens for precision/personalized medicine for existing and emerging drugs used in the cardiovascular clinic. Beta-blockers are vital in treating hypertension and chronic heart failure. However, clinical use of beta-blockers is also associated with side effects and person-to-person variations in their pharmacokinetics and pharmacodynamics. A comprehensive understanding of the mechanisms that underpin the side effect landscape of beta-blockers is imperative to optimize their therapeutic value. In addition, current research emphasizes the circadian clock's vital roles in regulating pharmacological parameters. Administration of the beta-blockers at specific dosing times could potentially improve their effectiveness and reduce their toxic effects. The rapid development of mass spectrometry technologies with chemical proteomics and thermal proteome profiling methods has also substantially advanced our understanding of underlying side effects mechanisms by unbiased deconvolution of drug targets and off-targets. Metabolomics is steadily demonstrating its utility for conducting mechanistic and toxicological analyses of pharmacological compounds. This article discusses the promises of cutting-edge proteomics and metabolomics approaches to investigate the molecular targets, mechanism of action, adverse effects, and dosing time dependency of beta-blockers.

Effectiveness of bisoprolol versus other β-blockers and other antihypertensive classes: a cohort study in the Clinical Practice Research Datalink

Aim: To compare blood pressure (BP) and safety outcomes in patients with hypertension initiating bisoprolol, versus other β-blockers, angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers, calcium channel blockers or diuretics. Materials & methods: New user cohort study. Patients initiating bisoprolol were matched with up to four patients, in each comparator cohort using propensity score. BP outcomes were compared using linear mixed models and safety outcomes using Cox proportional hazards. Results: Differences in average systolic and diastolic BP variation were ≤3 mmHg between bisoprolol versus the compared classes. No difference was observed in risk of diabetes, obesity or erectile dysfunction. An increased dyslipidemia risk was only observed versus diuretics (hazard ratio: 0.76; 98.75% CI: 0.58, 0.99). Conclusion: No differences in BP variation and safety outcomes.

Role of antioxidant property of carvedilol in mild to moderate hypertensive patients: A prospective open-label study

Objective:

Carvedilol is a nonselective third generation β-blocker that does not display the negative effects of traditional β-blockers. Regarding the antioxidant, anti-inflammatory and distinct metabolic properties of carvedilol which are similar to that of high-density lipoprotein (HDL) and paraoxonase 1 (PON1), the present study intends to investigate the effects of carvedilol treatment on malondialdehyde (MDA) and soluble lectin-like ox-low-density lipoprotein (LDL) receptor (sLOX-1) as markers of oxidative stress in association to lipid profiles, apolipoproteins (apo), and PON1 activity in hypertensive patients.

Patients and Methods:

This clinical trial study was performed on forty patients with mild to moderate essential hypertension. Subjects were studied before and after 2 months treatment with carvedilol, 25 mg daily. Lipids and lipoproteins were measured using a biochemistry analyzer. PON and arylesterase activity were assayed using paraoxon and phenyl acetate as substrates, respectively. MDA was quantified using a chemical colorimetric assay. ELISA was used to measure sLOX-1.

Results:

Our results showed that carvedilol treatment decreased systolic and diastolic blood pressure as much as forty and 16 mmHg, respectively (P < 0.001). It also increased HDL, total cholesterol, and serum PON1 activity (P < 0.05), but the levels of triglyceride, LDL, apo A-I, and apo B did not significantly change. There was an inverse correlation between serum PON1 activity and serum MDA.

Conclusion:

This study confirmed the antihypertensive effect of the drug and its beneficial metabolic effects through augmenting HDL and PON1 activity. We propose that the antioxidant effects of carvedilol can be partially attributed to increased PON-1 activity.

Common medications used by patients with type 2 diabetes mellitus: what are their effects on the lipid profile?

Dyslipidemia is the most fundamental risk factor for atherosclerotic cardiovascular disease (ASCVD). In clinical practice, many commonly prescribed medications can alter the patient's lipid profile and, potentially, the risk for ASCVD-either favorably or unfavorably. The dyslipidemia observed in type 2 diabetes mellitus (T2DM) can be characterized as both ominous and cryptic, in terms of unrecognized, disproportionately elevated atherogenic cholesterol particle concentrations, in spite of deceptively and relatively lower levels of low-density lipoprotein cholesterol (LDL-C). Several factors, most notably insulin resistance, associated with the unfavorable discordance of elevated triglyceride (TG) levels and low levels of high-density lipoprotein cholesterol (HDL-C), have been shown to correlate with an increased risk/number of ASCVD events in patients with T2DM. This review focuses on known changes in the routine lipid profile (LDL-C, TGs, and HDL-C) observed with commonly prescribed medications for patients with T2DM, including antihyperglycemic agents, antihypertensive agents, weight loss medications, antibiotics, analgesics, oral contraceptives, and hormone replacement therapies. Given that the risk of ASCVD is already elevated for patients with T2DM, the use of polypharmacy may warrant close observation of overall alterations through ongoing lipid-panel monitoring. Ultimately, the goal is to reduce levels of atherogenic cholesterol particles and thus the patient's absolute risk.

Do MDR1 and SLCO1B1 polymorphisms influence the therapeutic response to atorvastatin? A study on a cohort of Egyptian patients with hypercholesterolemia

BACKGROUND

Statins are among the most prescribed drugs worldwide to reduce the risk of cardiovascular events. Interindividual variability in drug response is a major clinical problem and is of concern during drug development. Statins, such as atorvastatin, are taken orally and access to their site of action in the liver is greatly facilitated by both intestinal and hepatic transporters.

OBJECTIVE

To examine the impact of polymorphisms of the multidrug resistance 1(MDR1) and solute carrier organic anion transporter 1B1 (SLCO1B1) genes on the therapeutic response to atorvastatin as well as the presence of gender-gene interaction.

METHODS

Serum lipid levels were determined at baseline and 4 weeks following 40 mg/day atorvastatin treatment in 50 Egyptian hypercholesterolemic patients (27 males and 23 females). Identification of MDR1 C3435T and SLCO1B1 A388G gene polymorphisms was performed using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.

RESULTS

Treatment with atorvastatin resulted in a mean reduction of total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), and triglyceride (TG) of 8.7 %, 9.2 %, and 4.1 %, respectively, and a mean increase of high density lipoprotein cholesterol (HDL-C) of 1 %. Baseline and post-treatment HDL-C levels were statistically significantly higher in the MDR 1 TT homozygotes when compared with the CC wild type. The percentage change in TC, LDL-C, TG, and HDL-C did not show any statistically significant difference when compared among the different MDR 1 C3435T or SLCO1B1 A388G genotypes. The SLCO1B1 GG homozygotes showed a decrease in TG, whereas there was an increase in TG following atorvastatin treatment in AA and AG carriers in females; however, males did not show any statistically significant difference. There was no statistically significant association between either the coronary artery disease (CAD) risk factors (family history of CAD, hypertension, diabetes mellitus, smoking) or concomitant medications with the percentage change in different lipid parameters.

CONCLUSION

MDR1 C3435T was associated with baseline and post-treatment HDL-C variation. SLCO1B1 A388G showed gender-related effects on TG change following atorvastatin treatment. None of the comorbidities or the concomitant medications influenced the percentage change of lipid parameters following atorvastatin treatment. The results of this study may lead to an improved understanding of the genetic determinants of lipid response to atorvastatin treatment.