Impact of variants within seven candidate genes on statin treatment efficacy

Cholesterol associated genetic risk score and acute coronary syndrome in Czech males

BACKGROUND

Despite a general decline in mean levels across populations, LDL-cholesterol levels remain a major risk factor for acute coronary syndrome (ACS). The APOB, LDL-R, CILP, and SORT-1 genes have been shown to contain variants that have significant effects on plasma cholesterol levels.

METHODS AND RESULTS

We examined polymorphisms within these genes in 1191 controls and 929 patients with ACS. Only rs646776 within SORT-1 was significantly associated with a risk of ACS (P < 0.05, AA vs. + G comparison; OR 1.21; 95% CI 1.01-1.45). With regard to genetic risk score (GRS), the presence of at least 7 alleles associated with elevated cholesterol levels was connected with increased risk (P < 0.01) of ACS (OR 1.26; 95% CI 1.06-1.52). Neither total mortality nor CVD mortality in ACS subjects (follow up-9.84 ± 3.82 years) was associated with the SNPs analysed or cholesterol-associated GRS.

CONCLUSIONS

We conclude that, based on only a few potent SNPs known to affect plasma cholesterol, GRS has the potential to predict ACS risk, but not ACS associated mortality.

Dyslipidemia in diffuse large B-cell lymphoma based on the genetic subtypes: a single-center study of 259 Chinese patients

Background

Diffuse large B-cell lymphoma (DLBCL) is a kind of highly heterogeneous non-Hodgkin lymphoma, both in clinical and genetic terms. DLBCL is admittedly categorized into six subtypes by genetics, which contain MCD, BN2, EZB, N1, ST2, and A53. Dyslipidemia is relevant to a multitude of solid tumors and has recently been reported to be associated with hematologic malignancies. We aim to present a retrospective study investigating dyslipidemia in DLBCL based on the molecular subtypes.

Results

This study concluded that 259 patients with newly diagnosed DLBCL and their biopsy specimens were available for molecular typing. Results show that the incidence of dyslipidemia (87.0%, p <0.001) is higher in the EZB subtype than in others, especially hypertriglyceridemia (78.3%, p = 0.001) in the EZB subtype. Based on the pathological gene-sequencing, patients with BCL2 gene fusion mutation are significantly correlative with hyperlipidemia (76.5%, p = 0.006) and hypertriglyceridemia (88.2%, p = 0.002). Nevertheless, the occurrence of dyslipidemia has no remarkable influence on prognosis.

Conclusion

In summary, dyslipidemia correlates with genetic heterogeneity in DLBCL without having a significant influence on survival. This research first connects lipids and genetic subtypes in DLBCL.

Is a PCSK9 Inhibitor Right for Your Patient? A Review of Treatment Data for Individualized Therapy

INTRODUCTION

In the United States, a significant amount of the population is affected by hyperlipidemia, which is associated with increased levels of serum low-density lipoprotein (LDL-C) and risk of cardiovascular disease. As of 2019, the guidelines set by the American College of Cardiology/American Heart Association advocate for the use of statins as the major contributor to lowering serum LDL-C. While proven to be effective, side effects, including muscle-related symptoms and new-onset diabetes mellitus, can make patients unable to tolerate statin therapy. Additionally, there is a subset of the population which does not approach a recommended LDL-C goal on statin treatment. Due to these findings, it was deemed necessary to review the literature of current statin-alternative lipid-lowering therapies.

METHODS

A systematic review of preclinical and clinical papers, and a current meta-analysis, was performed using PubMed and Google Scholar. Following the literature review, a meta-analysis was conducted using ProMeta 3.

RESULTS

Through systematic review and meta-analysis of the current literature, it is suggested that newer lipid-lowering therapies such as proprotein convertase subtilsin-kixen type 9 (PCSK9) inhibitors are a safe and effective statin alternative for the population with statin intolerance. PCSK9 inhibitors were shown to have no significant effect in causing myalgia in patients and showed no increase in adverse cardiovascular outcomes compared to a control of a current antilipemic medication regimen.

DISCUSSION

There are many statin-alternative therapies that should be investigated further as a potential replacement for patients with statin intolerance or as an addition for patients with statin resistance.

ANGPTL4 variants and their haplotypes are associated with serum lipid levels, the risk of coronary artery disease and ischemic stroke and atorvastatin cholesterol-lowering responses

Background

This study aimed to assess the association between the angiopoietin-like protein 4 gene (ANGPTL4) single nucleotide polymorphisms (SNPs) and serum lipid levels, the risk of coronary artery disease (CAD) and ischemic stroke (IS), and response to atorvastatin therapy in a Southern Chinese Han population.

Methods

Genotypes of the ANGPTL4 rs4076317, rs7255436, rs1044250 and rs2967605 SNPs in 1,654 unrelated subjects (CAD, 568; IS, 537; and controls, 549) were determined by the Snapshot technology. Another group of 724 hyperlipidemic patients was selected and treated with atorvastatin calcium tablet 20 mg/day for 8 weeks.

Results

The rs2967605 CT/TT genotypes were associated with a decreased risk of CAD (adjusted OR = 0.68, 95% CI = 0.47-0.99, P = 0.043 for CT/TT vs. CC) and IS (adjusted OR = 0.55, 95% CI = 0.38-0.80, P = 0.020 for CT/TT vs. CC). There was no significant association between the four SNPs and angiographic severity of CAD. The subjects with the rs4076317 CG/CC genotypes in controls had higher total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels than the subjects with the GG genotype (P < 0.001; a P < 0.0018 was regarded statistically significant by the Bonferroni correction). The subjects with rs4076317CG/GG genotypes had lower TC and LDL-C levels than the subjects with CC genotype after atorvastatin treatment (P < 0.001).

Conclusions

The observed associations suggest that the ANGPTL4 variants have a potential role on serum lipid levels and atherosclerosis-related diseases in the Chinese Han population, especially the ANGPTL4 rs4076317 and rs2967605 SNPs.

Serum amyloid P component therapeutically attenuates atherosclerosis in mice via its effects on macrophages

Background: A hallmark of atherosclerosis is the formation of macrophage-derived foam cells. Serum amyloid P component (SAP), a member of the pentraxin family of proteins, is known to affect macrophage activation. However, the role of SAP in atherosclerosis is still unclear.

Methods: Apolipoprotein E-deficient (Apoe^-/-) mice fed a high-fat diet were given intraperitoneal injections of SAP (6 mg/kg) every other day for a total of 2 weeks to characterize atherosclerosis development.

Results: We showed that intraperitoneal injection of SAP attenuated atherosclerosis in Apoe^-/- mice. Immunostaining of aortic roots indicated that SAP was up-taken by the lesion area. In SAP-treated mice, serum paraoxonase1 (PON1) activity was increased whereas high-density lipoprotein inflammatory index (HII) was reduced. The cholesterol efflux rate in macrophages was elevated along with the expression of cholesterol efflux proteins. Through bioinformatics analysis followed by experimental validation, we found that proline/serine-rich coiled-coil protein 1 (Psrc1) was an important downstream effector of SAP in macrophages.

Conclusions: Our findings reveal an anti-atherosclerotic role of SAP and extend the current knowledge regarding this molecule as a marker for atherosclerosis.

Proprotein-Convertase Subtilisin-Kexin Type 9 and Low-Density Lipoprotein Receptor Genotype Distribution and Statin Association in Filipino American Women

Filipino American women (FAW) have high incidence of coronary heart disease and high low-density lipoprotein cholesterol (LDL-C). The distribution of rs11206510 proprotein-convertase subtilisin-kexin type 9 (PCSK9) and rs1122608 low-density lipoprotein receptor (LDLR) single nucleotide polymorphisms (SNPs), known for genetic influences on LDL-C, is unknown in this population. The objective of this study was to examine the genetic determinants of LDL-C, their association with LDL-C, and effects of statins on LDL-C given the genetic determinants in this high-risk population. Data were obtained from the FAW Cardiovascular Study ( N = 338) of women ages 40 to 65 years from four major U.S. cities between 2011 and 2013. Roche Modular methodology and Luminex-oligonucleotide ligation assay procedure were used for allele frequency, genotype, LDL-C, and lipid analysis. Analysis of variance was used to determine differences between genotype groups. Genotype and statin effect on LDL-C were tested using the generalized linear model procedure of SAS. The distribution of rs11206510 PCSK9 genotypes was 88% TT, 11% TC, and 1% CC, and the rs1122608 LDLR genotype distribution was 83% GG, 17% GT, and 0% TT. These SNPs showed no association with mean LDL-C in this cohort. FAW on statin medications had lower LDL levels regardless of their PCSK9 or LDLR genotypes. Most FAW had a gain-of-function allele of PCSK9 and LDLR. This predominance in FAW cohort may account for the high percentage of subjects with elevated LDL-C. In a population at high risk for hypercholesterolemia, optimal treatment with statins should be considered where appropriate.

Pharmacogenetic Foundations of Therapeutic Efficacy and Adverse Events of Statins

Background: In the era of precision medicine, more attention is paid to the search for predictive markers of treatment efficacy and tolerability. Statins are one of the classes of drugs that could benefit from this approach because of their wide use and their incidence of adverse events. Methods: Literature from PubMed databases and bibliography from retrieved publications have been analyzed according to terms such as statins, pharmacogenetics, epigenetics, toxicity and drug–drug interaction, among others. The search was performed until 1 October 2016 for articles published in English language. Results: Several technical and methodological approaches have been adopted, including candidate gene and next generation sequencing (NGS) analyses, the latter being more robust and reliable. Among genes identified as possible predictive factors associated with statins toxicity, cytochrome P450 isoforms, transmembrane transporters and mitochondrial enzymes are the best characterized. Finally, the solute carrier organic anion transporter family member 1B1 (SLCO1B1) transporter seems to be the best target for future studies. Moreover, drug–drug interactions need to be considered for the best approach to personalized treatment. Conclusions: Pharmacogenetics of statins includes several possible genes and their polymorphisms, but muscular toxicities seem better related to SLCO1B1 variant alleles. Their analysis in the general population of patients taking statins could improve treatment adherence and efficacy; however, the cost–efficacy ratio should be carefully evaluated.

A genome-wide study of lipid response to fenofibrate in Caucasians: a combined analysis of the GOLDN and ACCORD studies

BACKGROUND

Fibrates are commonly prescribed for hypertriglyceridemia, but they also lower LDL cholesterol and increase HDL cholesterol. Large interindividual variations in lipid response suggest that some patients may benefit more than others and genetic studies could help identify such patients.

METHODS

We carried out the first genome-wide association study of lipid response to fenofibrate using data from two well-characterized clinical trials: the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study and the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Study. Genome-wide association study data from both studies were imputed to the 1000 Genomes CEU reference panel (phase 1). Lipid response was modeled as the log ratio of the post-treatment lipid level to the pretreatment level. Linear mixed models (GOLDN, N=813 from 173 families) and linear regression models (ACCORD, N=781) adjusted for pretreatment lipid level, demographic variables, clinical covariates, and ancestry were used to evaluate the association of genetic markers with lipid response. Among Caucasians, the results were combined using inverse-variance weighted fixed-effects meta-analyses. The main findings from the meta-analyses were examined in other ethnic groups from the HyperTG study (N=267 Hispanics) and ACCORD (N=83 Hispanics, 138 African Americans).

RESULTS

A known lipid locus harboring the pre-B-cell leukemia homeobox 4 (PBX4) gene on chromosome 19 is important for LDL cholesterol response to fenofibrate (smallest P=1.5×10). The main results replicated with nominal statistical significance in Hispanics from ACCORD (P<0.05).

CONCLUSION

Future research should evaluate the usefulness of this locus to refine clinical strategies for lipid-lowering treatments.

Seventeen years of statin pharmacogenetics: a systematic review

AIM

We evaluated the evidence of pharmacogenetic associations with statins in a systematic review.

METHODS

Two separate outcomes were considered of interest: modification of low-density lipoprotein cholesterol (LDL-C) response and modification of risk for cardiovascular events.

RESULTS

In candidate gene studies, 141 loci were claimed to be associated with LDL-C response. Only 5% of these associations were positively replicated. In addition, six genome-wide association studies of LDL-C response identified common SNPs in APOE, LPA, SLCO1B1, SORT1 and ABCG2 at genome-wide significance. None of the investigated SNPs consistently affected the risk reduction for cardiovascular events.

CONCLUSION

Only five genetic loci were consistently associated with LDL-C response. However, as effect sizes are modest, there is no evidence for the value of genetic testing in clinical practice.

The Impact of CDH13 Polymorphism and Statin Administration on TG/HDL Ratio in Cardiovascular Patients

PURPOSE

Adiponectin is expressed in adipose tissue, and is affected by smoking, obesity, and genetic factors, such as CDH13 polymorphism, contributing to the development of coronary vascular diseases (CVDs).

MATERIALS AND METHODS

We investigated the effect of genetic variations of CDH13 (rs3865188) on blood chemistry and adiponectin levels in 345 CVD patients undergoing statin-free or statin treatment.

RESULTS

Genetic variation in CDH13 was significantly correlated with several clinical factors, including adiponectin, diastolic blood pressure, triglyceride (TG), and insulin levels. Subjects with the T allele (mutant form) had significantly lower adiponectin levels than those with the A allele. Total cholesterol (TC), low-density lipoprotein cholesterol (LDLc), TG/high-density lipoprotein cholesterol (HDLc) ratio, and HDL3b subtype were markedly decreased in statin treated subjects regardless of having the A or T allele. TG and TG/HDL in the statin-free group with TT genotype of the rs3865188 was higher than in the others but they were not different in the statin-treated subjects. We observed a significant difference in adiponectin levels between patients with the A and T alleles in the statin-free group; meanwhile, no difference in adiponectin levels was noted in the statin group. Plasma levels of other cytokines, leptin, visfatin, interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α), were not different among the CDH13 genotypes according to statin administration. Body mass index (BMI), TG, insulin, HDL3b, and TG/HDL ratio showed negative correlations with adiponectin levels.

CONCLUSION

Plasma adiponectin levels and TG/HDL ratio were significantly different according to variants of CDH13 and statin administration in Korean patients with CVD.

Functional variants of lipid level modifier MLXIPL, GCKR, GALNT2, CILP2, ANGPTL3 and TRIB1 genes in healthy Roma and Hungarian populations

The role of triglyceride metabolism in different diseases, such as cardiovascular or cerebrovascular diseases is still under extensive investigations. In genome-wide studies several polymorphisms have been reported, which are highly associated with plasma lipid level changes. Our goal was to examine eight variants: rs12130333 at the ANGPTL3, rs16996148 at the CILP2, rs17321515 at the TRIB1, rs17145738 and rs3812316 of the MLXIPL, rs4846914 at GALNT2, rs1260326 and rs780094 residing at the GCKR loci. A total of 399 Roma (Gypsy) and 404 Hungarian population samples were genotyped using PCR-RFLP method. Significant differences were found between Roma and Hungarian population samples in both MLXIPL variants (C allele frequency of rs17145738: 94.1% vs. 85.6%, C allele frequency of rs3812316: 94.2% vs. 86.8% in Romas vs. in Hungarians, p < 0.05), in ANGPTL3 (T allele frequency of rs1213033: 12.2% vs. 18.5% in Romas vs. Hungarians, p < 0.05) and GALNT2 (G allele frequency of rs4846914: 46.6% vs. 54.5% Romas vs. in Hungarians, p < 0.05), while no differences over SNPs could be verified and the known minor alleles showed no correlation with triglyceride levels in any population samples. The current study revealed fundamental differences of known triglyceride modifying SNPs in Roma population. Failure of finding evidence for affected triglyceride metabolism shows that these susceptibility genes are much less effective compared for example to the apolipoprotein A5 gene.

Identifying Common Genetic Risk Factors of Diabetic Neuropathies

Type 2 diabetes mellitus (T2DM) is a global public health problem of epidemic proportions, with 60-70% of affected individuals suffering from associated neurovascular complications that act on multiple organ systems. The most common and clinically significant neuropathies of T2DM include uremic neuropathy, peripheral neuropathy, and cardiac autonomic neuropathy. These conditions seriously impact an individual's quality of life and significantly increase the risk of morbidity and mortality. Although advances in gene sequencing technologies have identified several genetic variants that may regulate the development and progression of T2DM, little is known about whether or not the variants are involved in disease progression and how these genetic variants are associated with diabetic neuropathy specifically. Significant missing heritability data and complex disease etiologies remain to be explained. This article is the first to provide a review of the genetic risk variants implicated in the diabetic neuropathies and to highlight potential commonalities. We thereby aim to contribute to the creation of a genetic-metabolic model that will help to elucidate the cause of diabetic neuropathies, evaluate a patient's risk profile, and ultimately facilitate preventative and targeted treatment for the individual.

SLCO1B1 polymorphism is not associated with risk of statin-induced myalgia/myopathy in a Czech population

Background

Gene SLCO1B1, encoding solute organic anionic transport polypeptide OATP1B1, belongs to the group of candidates potentially influencing statin treatment safety. OATP1B1 regulates (not only) the hepatic uptake of statins. Its genetic variation was described as an important predictor of statin-associated myopathy in a cohort of patients treated with a maximum dose of simvastatin. However, the impact of SLCO1B1 gene polymorphism on this risk in patients treated with other statins or lower doses of simvastatin needs to be assessed. Therefore, we performed the present study.

Material/Methods

SLCO1B1 tagging rs4363657 polymorphism was analyzed in 2 groups of patients with dyslipidemia (treated with simvastatin or atorvastatin, 10 or 20 mg per day), subgroup with statin-induced myalgia (N=286), and subgroup (N=707) without myalgia/myopathy, and in 2301 population controls without lipid-lowering treatment.

Results

Frequency of the individual genotypes in patients with myalgia/myopathy (TT=62.3%, CT=34.5%, CC=2.8%) did not significantly differ (both P values over 0.19) from that in patients without muscle symptoms (TT=61.4%, CT=32.9%, CC=5.7%) or from the population controls (TT=63.9%, CT=32.5%, CC=3.6%). Null results were also obtained for the dominant and recessive models of the analysis.

Conclusions

In Czech patients treated with low statin doses, there is no association between SLCO1B1 gene polymorphism and risk of myalgia/myopathy.

Resistance and intolerance to statins

BACKGROUND AND AIMS

Many patients treated with statins are considered statin-resistant because they fail to achieve adequate reduction of low density lipoprotein cholesterol (LDL-C) levels. Some patients are statin-intolerant because they are unable to tolerate statin therapy at all or to tolerate a full therapeutic statin dose because of adverse effects, particularly myopathy and increased activity of liver enzymes.

RESULTS

The resistance to statins has been associated with polymorphisms in the 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA-R), P-glycoprotein (Pg-P/ABCB1), breast cancer resistance protein (BCRP/ABCG2), multidrug resistance-associated proteins (MRP1/ABCC1 and MRP2/ABCC2), organic anion transporting polypeptides (OATP), RHOA, Nieman-Pick C1-like1 protein (NPC1L1), farnesoid X receptor (FXR), cholesterol 7alpha-hydroxylase (CYP7A1), Apolipoprotein E (ApoE), proprotein convertase subtilisin/kexin type 9 (PCSK9), low density lipoprotein receptor (LDLR), lipoprotein (a) (LPA), cholesteryl ester transfer protein (CETP), and tumor necrosis factor α (TNF-α) genes. However, currently, there is still not enough evidence to advocate pharmacogenetic testing before initiating statin therapy. Patients with inflammatory states and HIV infection also have diminished LDL-C lowering as a response to statin treatment. Pseudo-resistance due to nonadherence or non-persistence in real-life circumstances is probably the main cause of insufficient LDL-C response to statin treatment.

CONCLUSIONS

If a patient is really statin-resistant or statin-intolerant, several other treatment possibilities are nowadays available: ezetimibe alone or in combination with bile acid sequestrants, and possibly in the near future mipomersen, lomitapide, or monoclonal antibodies against PCSK9.