Effect of apolipoprotein E and A-IV phenotypes on the low density lipoprotein response to HMG CoA reductase inhibitor therapy

Major Genetic Drivers of Statin Treatment Response in African Populations and Pharmacogenetics of Dyslipidemia Through a One Health Lens

A One Health lens is increasingly significant to address the intertwined challenges in planetary health concerned with the health of humans, nonhuman animals, plants, and ecosystems. A One Health approach can benefit the public health systems in Africa that are overburdened by noncommunicable, infectious, and environmental diseases. Notably, the COVID-19 pandemic revealed the previously overlooked two-fold importance of pharmacogenetics (PGx), for individually tailored treatment of noncommunicable diseases and environmental pathogens. For example, dyslipidemia, a common cardiometabolic risk factor, has been identified as an independent COVID-19 severity risk factor. Observational data suggest that patients with COVID-19 infection receiving lipid-lowering therapy may have better outcomes. However, among African patients, the response to these drugs varies from patient to patient, pointing to the possible contribution of genetic variation in important pharmacogenes. The PGx of lipid-lowering therapies may underlie differences in treatment responses observed among dyslipidemia patients as well as patients comorbid with COVID-19 and dyslipidemia. Genetic variations in APOE, ABCB1, CETP, CYP2C9, CYP3A4, CYP3A5, HMGCR, LDLR, NPC1L1, and SLCO1B1 genes affect the pharmacogenomics of statins, and they have individually been linked to differential responses to dyslipidemia and COVID-19 treatment. African populations are underrepresented in PGx research. This leads to poor accounting of additional diverse genetic variants that could be important in understanding interindividual and between-population variations in therapeutic responses to dyslipidemia and COVID-19. This expert review examines and synthesizes the salient and priority PGx variations, as seen through a One Health lens in Africa, to improve and inform personalized medicine in both dyslipidemia and COVID-19.

Precision Nutrition and Childhood Obesity: A Scoping Review

Environmental exposures such as nutrition during life stages with high developmental plasticity—in particular, the in utero period, infancy, childhood, and puberty—may have long-lasting influences on risk of chronic diseases, including obesity-related conditions that manifest as early as childhood. Yet, specific mechanisms underlying these relationships remain unclear. Here, we consider the study of ‘omics mechanisms, including nutrigenomics, epigenetics/epigenomics, and metabolomics, within a life course epidemiological framework to accomplish three objectives. First, we carried out a scoping review of population-based literature with a focus on studies that include ‘omics analyses during three sensitive periods during early life: in utero, infancy, and childhood. We elected to conduct a scoping review because the application of multi-‘omics and/or precision nutrition in childhood obesity prevention and treatment is relatively recent, and identifying knowledge gaps can expedite future research. Second, concomitant with the literature review, we discuss the relevance and plausibility of biological mechanisms that may underlie early origins of childhood obesity identified by studies to date. Finally, we identify current research limitations and future opportunities for application of multi-‘omics in precision nutrition/health practice.

Role of Genetic Variations in the Hepatic Handling of Drugs

The liver plays a pivotal role in drug handling due to its contribution to the processes of detoxification (phases 0 to 3). In addition, the liver is also an essential organ for the mechanism of action of many families of drugs, such as cholesterol-lowering, antidiabetic, antiviral, anticoagulant, and anticancer agents. Accordingly, the presence of genetic variants affecting a high number of genes expressed in hepatocytes has a critical clinical impact. The present review is not an exhaustive list but a general overview of the most relevant variants of genes involved in detoxification phases. The available information highlights the importance of defining the genomic profile responsible for the hepatic handling of drugs in many ways, such as (i) impaired uptake, (ii) enhanced export, (iii) altered metabolism due to decreased activation of prodrugs or enhanced inactivation of active compounds, and (iv) altered molecular targets located in the liver due to genetic changes or activation/downregulation of alternative/compensatory pathways. In conclusion, the advance in this field of modern pharmacology, which allows one to predict the outcome of the treatments and to develop more effective and selective agents able to overcome the lack of effect associated with the existence of some genetic variants, is required to step forward toward a more personalized medicine.

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.

Role of single nucleotide polymorphisms in pharmacogenomics and their association with human diseases

Global statistical data shed light on an alarming trend that every year thousands of people die due to adverse drug reactions as each individual responds in a different way to the same drug. Pharmacogenomics has come up as a promising field in drug development and clinical medication in the past few decades. It has emerged as a ray of hope in preventing patients from developing potentially fatal complications due to adverse drug reactions. Pharmacogenomics also minimizes the exposure to drugs that are less/non-effective and sometimes even found toxic for patients. It is well reported that drugs elicit different responses in different individuals due to variations in the nucleotide sequences of genes encoding for biologically important molecules (drug-metabolizing enzymes, drug targets and drug transporters). Single nucleotide polymorphisms (SNPs), the most common type of polymorphism found in the human genome is believed to be the main reason behind 90% of all types of genetic variations among the individuals. Therefore, pharmacogenomics may be helpful in answering the question as to how inherited differences in a single gene have a profound effect on the mobilization and biological action of a drug. In the present review, we have discussed clinically relevant examples of SNP in associated diseases that can be utilized as markers for "better management of complex diseases" and attempted to correlate the drug response with genetic variations. Attention is also given towards the therapeutic consequences of inherited differences at the chromosomal level and how associated drug disposition and/or drug targets differ in various diseases as well as among the individuals.

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.

The potential applications of Apolipoprotein E in personalized medicine

Personalized medicine uses various individual characteristics to guide medical decisions. Apolipoprotein (ApoE), the most studied polymorphism in humans, has been associated with several diseases. The purpose of this review is to elucidate the potential role of ApoE polymorphisms in personalized medicine, with a specific focus on neurodegenerative diseases, by giving an overview of its influence on disease risk assessment, diagnosis, prognosis, and therapy. This review is not a systematic inventory of the literature, but rather a summary and discussion of novel, influential and promising works in the field of ApoE research that could be valuable for personalized medicine. Empirical evidence suggests that ApoE genotype informs pre-symptomatic risk for a wide variety of diseases, is valuable for the diagnosis of type III dysbetalipoproteinemia, increases risk of dementia in neurodegenerative diseases, and is associated with a poor prognosis following acute brain damage. ApoE status appears to influence the efficacy of certain drugs, outcome of clinical trials, and might also give insight into disease prevention. Assessing ApoE genotype might therefore help to guide medical decisions in clinical practice.

ABCA1 gene variation and heart disease risk reduction in the elderly during pravastatin treatment

AIMS

Our goals were to examine the relationships of a specific ATP-binding cassette transporter A1 (ABCA1) variant, rs2230806 (R219K), on baseline lipids, low-density lipoprotein cholesterol (LDL-C) lowering due to pravastatin, baseline heart disease, and cardiac endpoints on trial.

METHODS AND RESULTS

The ABCA1 R219K variant was assessed in 5414 participants in PROSPER (PROspective Study of Pravastatin in the Elderly at Risk) (mean age 75.3 years), who had been randomized to pravastatin 40 mg/day or placebo and followed for a mean of 3.2 years. Of these subjects 47.6% carried the variant, with 40.0% carrying one allele, and 7.6% carrying both alleles. No effects on baseline LDL-C levels were noted, but mean HDL-C increased modestly according to the number of variant alleles being present (1.27 vs 1.28 vs 1.30 mmol/L, p = 0.024). No relationships between the presence or absence of this variant and statin induced LDL-C lowering response or CHD at baseline were noted. However within trial those with the variant as compared to those without the variant, the overall adjusted hazard ratio for new cardiovascular disease (fatal CHD, non-fatal myocardial infarction, or fatal or non-fatal stroke) was 1.22 (95% CI 1.06-1.40, p = 0.006), while for those in the pravastatin group it was 1.41 (1.15-1.73, p = 0.001), and for those in the placebo group it was 1.08 (0.89-1.30, p = 0.447) (p for interaction 0.058).

CONCLUSION

Our data indicate that subjects with the ABCA1 R219K variant may get significantly less heart disease risk reduction from pravastatin treatment than those without the variant.

Statin myotoxicity: a review of genetic susceptibility factors

The 3-hydroxy-3-methylglutaryl coenzyme A (HMGCoA) reductase inhibitors (statins) are among the most common medications prescribed worldwide, but their efficacy and toxicity vary between individuals. One of the major factors contributing to intolerance and non-compliance are the muscle side-effects, which range from mild myalgia through to severe life-threatening rhabdomyolysis. One way to address this is pharmacogenomic screening, which aims to individualize therapy to maximize efficacy whilst avoiding toxicity. Genes encoding proteins involved in the metabolism of statins as well as genes known to cause inherited muscle disorders have been investigated. To-date only polymorphisms in the SLCO1B1 gene, which encodes the protein responsible for hepatic uptake of statins, and the COQ2 gene, important in the synthesis of coenzyme Q10, have been validated as being strongly associated with statin-induced myopathy. The aim of this review is to summarize studies investigating genetic factors predisposing to statin myopathy and myalgia, as the first step towards pharmacogenomic screening to identify at risk individuals.

Genetic markers associated to dyslipidemia in HIV-infected individuals on HAART

This study evaluated the impact of 9 single nucleotide polymorphisms (SNPs) in 6 candidate genes (APOB, APOA5, APOE, APOC3, SCAP, and LDLR) over dyslipidemia in HIV-infected patients on stable antiretroviral therapy (ART) with undetectable viral loads. Blood samples were collected from 614 patients at reference services in the cities of Porto Alegre, Pelotas, and Rio Grande in Brazil. The SNPs were genotyped by conventional polymerase chain reaction (PCR) and real-time PCR. The prevalence of dyslipidemia was particularly high among the protease inhibitors-treated patients (79%). APOE (rs429358 and rs7412) genotypes and APOA5 −1131T>C (rs662799) were associated with plasma triglycerides (TG) and low-density-lipoprotein cholesterol levels (LDL-C). The APOA5 −1131T>C (rs662799) and SCAP 2386A>G (rs12487736) polymorphisms were significantly associated with high-density-lipoprotein cholesterol levels. The mean values of the total cholesterol and LDL-C levels were associated with both the APOB SP Ins/Del (rs17240441) and APOB XbaI (rs693) polymorphisms. In conclusion, our data support the importance of genetic factors in the determination of lipid levels in HIV-infected individuals. Due to the relatively high number of carriers of these risk variants, studies to verify treatment implications of genotyping before HAART initiation may be advisable to guide the selection of an appropriate antiretroviral therapy regimen.

Effect of apolipoprotein E polymorphism on statin-induced decreases in plasma lipids and cardiovascular events

Hypercholesterolemia or dyslipidemia is an independent risk factor for cardiovascular disease and statins (inhibitors of a key enzyme of cholesterol synthesis, 3-hydroxymethyl glutaryl coenzyme A reductase) are the drugs of choice for decreasing plasma cholesterol. It has been estimated that genetic factors can explain 40%-60% of final cholesterol concentrations and approximately 70% of the efficacy of statin treatment. The gene most often analyzed in the context of statin efficacy is the gene for apolipoprotein E (APOE). This review summarizes evidence of the association between variations in the APOE gene locus and the response of plasma lipids to statin therapy. Although the results are not consistent, carriers of the APOE4 allele seems to be less responsive to statins than carriers of APOE2 and APOE3 alleles. This effect is partially context-dependent (gene-gender interactions; gene-nutrition and gene-smoking interactions have not yet been studied) and the absolute differences vary between different population groups.

Statin dose in Asians: is pharmacogenetics relevant?

Historically the efficacy and safety of statins has mostly been studied in western populations. Few such studies have been carried out in Asians until recent years. These studies revealed interesting similarities and differences for statin use between Asians and Caucasians. One clinically important question subsequently raised is whether Asians need lower statin doses compared with Caucasians. Many practicing physicians believe that statin doses are lower in Asians because of the generally lower bodyweight and BMI. Whether this belief is based on sound scientific evidence needs to be reviewed. Furthermore, since the decision of optimal dose is based on both efficacy and safety, both of which may be impacted by genetic factors, one may ask whether pharmacogenetics plays a role in the dose difference, if such a difference exists. There is a clinical need to critically and comprehensively article the literature to answer these questions, and summarize future directions of research in the field. This article serves the above purpose.

KIF6, LPA, TAS2R50, and VAMP8 genetic variation, low density lipoprotein cholesterol lowering response to pravastatin, and heart disease risk reduction in the elderly

Single nucleotide polymorphisms (SNPs) at the KIF6 (kinesin like protein 6, rs20455 or 719Arg), LPA (lipoprotein(a), rs3798220), TAS2R50 (taste receptor type 2, member 50, rs1376251) and VAMP8 (vesicle-associated membrane protein 8, rs1010) have previously been associated with low density lipoprotein cholesterol (LDL-C) lowering response to statins, coronary heart disease (CHD) at baseline, or CHD events on trial. We examined SNPs at the KIF6 (rs20455 or 719Arg), LPA (rs3798220), TAS2R50 (rs1376251) and VAMP8 (rs1010) in 5,411 participants in PROSPER (PROspective Study of Pravastatin in the Elderly at Risk) (mean age 75.3 years), who had been randomized to pravastatin 40 mg/day or placebo and were followed for a mean of 3.2 years. No SNP was related to vascular disease at baseline. Only the KIF6 SNP was related to LDL-C lowering with homozygous Arg 719 subjects being significantly less responsive than other groups (p=0.025, -34.2 vs. -36.1%). With regard to the primary CHD endpoint on trial (fatal or non-fatal myocardial infarction or stroke), we observed a significant relationship for KIF6 719Arg homozygotes (p=0.03, hazards ratio 0.47, 12.8% of the population) in women on pravastatin only, and for TAS2R50 for the AA genotype (p=0.03, hazards ratio 1.76, 8.9% of the population), also only in women on pravastatin. Our data indicate that the assessment of KIF6 rs20455 and TAS2R50 rs1376251 genotypes are not useful for predicting statin induced cardiovascular risk reduction in men, but do predict CHD risk reduction in women in this elderly population. However, these differences are no longer significant after correction for multiple comparisons, and we do not recommend the assessment of any of these SNPs in clinical practice.

Public attitudes toward ancillary information revealed by pharmacogenetic testing under limited information conditions

PURPOSE

Pharmacogenetic testing can inform drug dosing and selection by aiding in estimating a patient's genetic risk of adverse response and/or failure to respond. Some pharmacogenetic tests may generate ancillary clinical information unrelated to the drug treatment question for which testing is done-an informational "side effect." We aimed to assess public interest and concerns about pharmacogenetic tests and ancillary information.

METHODS

We conducted a random-digit-dial phone survey of a sample of the US public.

RESULTS

We achieved an overall response rate of 42% (n = 1139). When the potential for ancillary information was presented, 85% (±2.82%) of respondents expressed interest in pharmacogenetic testing, compared with 82% (±3.02%) before discussion of ancillary information. Most respondents (89% ± 2.27%) indicated that physicians should inform patients that a pharmacogenetic test may reveal ancillary risk information before testing is ordered. Respondents' interest in actually learning of the ancillary risk finding significantly differed based on disease severity, availability of an intervention, and test validity, even after adjusting for age, gender, education, and race.

CONCLUSION

Under the limited information conditions presented in the survey, the potential of ancillary information does not negatively impact public interest in pharmacogenetic testing. Interest in learning ancillary information is well aligned with the public's desire to be informed about potential benefits and risks before testing, promoting patient autonomy.

Apolipoprotein E epsilon-4 polymorphism is associated with younger age at referral to a lipidology clinic and a poorer response to lipid-lowering therapy

Background

The risk of coronary heart disease (CHD) is related to environmental factors and genetic variants. Apolipoprotein E (apoE) polymorphisms are heritable determinants of total and low-density lipoprotein cholesterol, with some authors suggesting an association between the ε4 allele and CHD. We investigated the relationship between apoE genotype and age at referral to a specialized lipid clinic by the primary care physician and whether the benefits of treatment with statin differed between genotypes.

Methods

We assessed individual apoE genotypes and lipid blood profile in a total of 463 patients followed at a specialized lipid clinic due to dyslipidemia, with a 3-year median follow-up time. The primary care physician at the time of the referral had no access to the apoE genotyping results. Carriers of apoE ε4/ε2 genotype were excluded.

Results

The frequencies of ε2, ε3 and ε4 alleles were 7.8, 78.9 and 13.3%, respectively. There were no significant differences between genders. Although with similar lipid profiles and antidyslipidemic drug usage at baseline, ε4-carriers were referred to the clinic at a younger age (44.2 ± 14.7 years) compared with non-ε4 carriers (50.6 ± 13.8 years) (p < 0.001), with a substantially younger age of referral for homozygous E4/4 and for all genotypes with at least one copy of the ε4 allele (p < 0.001 for trend). Although both ε4 and non-ε4 carriers achieved significant reductions in total cholesterol during follow-up (p < 0.001 vs. baseline), the mean relative decrease in total cholesterol levels was higher in non-ε4 carriers (-19.9 ± 2.3%) compared with ε4 carriers (-11.8 ± 2.3%), p = 0.003.

Conclusion

Our findings support the concept that there is a reduced response to anti-dyslipidemic treatment in ε4 carriers; this can be a contributing factor for the earlier referral of these patients to our specialized lipid clinic and reinforces the usefulness of apoE genotyping in predicting patients response to lipid lowering therapies.

Genetic variation at the NPC1L1 gene locus, plasma lipoproteins, and heart disease risk in the elderly

Niemann-Pick C1-like 1 protein (NPC1L1) plays a critical role in intestinal cholesterol absorption. Our objective was to examine whether five variants (-133A>G, -18A>C, L272L, V1296V, and U3_28650A>G) at the NPC1L1 gene have effects on lipid levels, prevalence, and incidence of coronary heart disease (CHD) and lipid-lowering response to pravastatin. We studied 5,804 elderly participants from the PROSPER study, who were randomized to prava-statin 40 mg/day or placebo and were followed on average for 3.2 years. In the adjusted gender-pooled analyses, homozygous carriers of the minor alleles at four NPC1L1 sites (-18A>C, L272L, V1296V, and U3_28650A>G, minor allele frequencies 0.15-0.33) had 2-8% higher LDL-cholesterol (LDL-C) levels at baseline than homozygous carriers of the common alleles (P < 0.05). Homozygotes for the rare alleles also had a significant increase in the risk of CHD events on trial (range of hazard ratios 1.50-1.67; P < 0.02), regardless of the treatment regimen. The -133 A>G polymorphism and not other variants was associated with 6 month LDL-C lowering (P = 0.02). Our data indicate that variation in the NPC1L1 gene is associated with plasma total and LDL-C levels and CHD risk.

Single nucleotide polymorphisms in genes that are associated with a modified response to statin therapy: the Rotterdam Study

The objective of this study was to investigate whether common variation in genes involved in lipid metabolism modify the effect of statins on serum total cholesterol concentration. Statin users were identified in the Rotterdam Study, a prospective population-based cohort study of subjects >55 years of age. We studied the association between single nucleotide polymorphisms (SNPs) in genes involved in lipid metabolism and total cholesterol response to statin therapy, using linear regression analysis and adjusting for potential confounders. Replication was performed in an independent extended cohort of the Rotterdam Study. Genotype data and total cholesterol concentrations after start of statin therapy were available for 554 newly started statin users. Two SNPs were associated with a significantly higher cholesterol concentration under statin therapy: SNP rs1532624 in the CETP gene (β: 0.141  mmol l(-1), P=0.004 per additional allele) and SNP rs533556 in the APOA1 gene (β: 0.138  mmol l(-1), P=0.005 per additional allele). In the replication sample, only the CETP rs1532624 SNP again showed a significant association. The SNPs were not related to baseline total cholesterol in non-statin users. In conclusion, we found that the CETP rs1532624 polymorphism is associated with cholesterol response to statin therapy in a cohort of elderly subjects in the general population.

Genetic determinants of response to statins

In developed countries, cardiovascular disease is one of the leading causes of death. Statins are abundantly prescribed to reduce the risk of coronary artery disease by lowering cholesterol. Genetic factors are thought to be partly responsible for the interindividual variation in the response to statins. This article reviews the most important studies conducted on pharmacogenetics of statins. Currently, there is no evidence to advocate pharmacogenetic testing before initiating therapy.

APOE gene polymorphisms and response to statin therapy

Published studies investigating the role of APOE gene on lipid response (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides) to statin treatment have reported inconsistent results. A meta-analysis was conducted to estimate the lipid response to statin treatment among APOE genetic variants (e2 carriers, e3e3 homozygotes and e4 carriers). Twenty-four studies were included in the meta-analyses. The pooled mean reduction (Delta mu) in TC from baseline was significant for all variants (e2 carriers: Delta mu=-27.7% (-32.5 to -22.8%), e3e3: Delta mu=-25.3% (-28.0 to -22.6%) and e4 carriers: Delta mu=-25.1% (-29.3 to -21.0%)). Significant changes in LDL-C, HDL-C and triglyceride levels were also noted for all genotypes, although these changes did not differ significantly among genotypic groups. There was significant heterogeneity among the studies. Given these non-significant effects of APOE genotypes on lipid responses, there is little reason to consider the use of APOE genetic testing for guiding treatment with statins.

A paucimorphic variant in the HMG-CoA reductase gene is associated with lipid-lowering response to statin treatment in diabetes: a GoDARTS study

BACKGROUND

Considerable interindividual variation exists in cholesterol-lowering response to 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR) inhibitors (statins). HMGCR catalyzes the rate-limiting step in cholesterol biosynthesis, and also plays a significant role in cholesterol homeostasis. We evaluated the association of a single nucleotide polymorphism (rs17238540) in the HMGCR gene with lipid-lowering response to statins in a large population-based cohort of patients with diabetes.

METHODS

One thousand six hundred and one patients commencing statins between 1993 and 2006 were identified from the Genetics of Diabetes Audit and Research in Tayside Scotland database. Statin response was determined by both percentage change in lipids, and whether patients failed to reach a total cholesterol target of less than or equal to 4 mmol/l. Covariates included HMGCR genotype, baseline lipids, age, sex, adherence and statin dose. All patients were genotyped for rs17238540 using a TAQMAN-based allelic discrimination assay.

RESULTS

Twenty-eight percent of individuals homozygous for the more frequent T allele failed to reach target compared with 51% of the individuals with a single copy of the minor G allele (carrier frequency 3.3%), with an adjusted odds ratio (95% confidence interval) for failure of 2.93 (1.61-5.34) mmol/l, P = 0.0005. In addition, we found that the heterozygotes had a 13% smaller reduction in total cholesterol (-32.3 vs. -37.1%, P = 0.0081) and a 27% smaller reduction in triglycerides (-27.5 vs. -37.6%, P = 0.0046).

CONCLUSION

Individuals heterozygous for the G allele of rs17238540 in the HMGCR gene may respond less well to statin therapy in terms of total cholesterol and triglyceride lowering.

Pharmacogenetics of apolipoprotein E gene during lipid-lowering therapy: lipid levels and prevention of coronary heart disease

A non-optimal plasma concentration of lipids is among the major modifiable risk factors of atherosclerosis. Therefore, the prevention of cardiovascular disease by means of lipid-lowering therapy with statins and other agents is of great importance for patient groups where a lifestyle change, for example, diet modification, does not lead to adequately reduced lipid levels. The response of low-density-lipoprotein cholesterol (LDL-C) levels to statin therapy is highly variable. This is partly attributed to hereditary variation in genes involved in pharmacokinetics, pharmacodynamics and lipid metabolism. The pharmacogenetics of lipid-lowering therapy have been investigated for more than 40 different genes. The gene for apolipoprotein E (APOE) has been the most frequently studied, particularly regarding the epsilon2/epsilon3/epsilon4 polymorphism. Those with the epsilon4 allele seem to have the poorest and those with the epsilon2 allele the strongest response to statins with regards to LDL-C levels. In addition, the epsilon2 carriers may reach the LDL-C treatment goals more frequently than epsilon4 carriers. Few studies have investigated the interaction of the APOE epsilon2/epsilon3/epsilon4 polymorphism and lipid-lowering therapy in relation to the course of coronary heart disease; the results are contradictory and so far inconclusive. This review summarizes the pharmacogenetic findings related to the influence of APOE gene variation on lipid responses and the prevention of coronary heart disease during lipid-lowering therapy.

Impact of genetic polymorphisms on the efficacy of HMG-CoA reductase inhibitors

Although pharmacologic treatment for cholesterol reduction represents an advance in cardiovascular and atherosclerosis treatment, the benefits of such therapy are still limited because of interindividual variability in the response to these drugs. Disease severity, treatment adherence, physiologic conditions, biologic conditions, and the patient's genetic profile could be cited as important factors in the evaluation of interindividual variability. In regard to the latter consideration, three large groups of genes could be investigated: (i) genes that code for proteins involved in metabolism and/or drug transport, thereby influencing the pharmacokinetics of these compounds; (ii) genes that code for proteins involved in the mechanism of action and/or in the metabolic pathway of drug action, and which therefore influence pharmacodynamics; and (iii) genes that code for proteins involved in direct development of the disease or in intermediate phenotypes. In this review we discuss pharmacogenetic studies of the HMG-CoA reductase inhibitors (statins) and the implications of pharmacogenetic considerations for predicting treatment efficacy and reducing the adverse effects of these drugs. Once new studies have been performed and most of the genetic variability associated with drug action has been revealed, the great challenge will be to apply this knowledge in clinical medicine.

[Lack of association between the APOE genotype and the response to statin treatment in patients with acute ischemic episodes]

BACKGROUND AND OBJECTIVE

APOE genotype has been shown to have an influence on lipid concentrations. However, its relation with response to lipid-lowering treatment is not well established. The aim of our work was to analyze whether this genotype is associated with changes in the lipid profile in response to statins treatment.

PATIENTS AND METHOD

A total of 222 consecutive patients with acute ischemic episodes and subjected to treatment with statins were included in a retrospective study. The patients' lipid profile was determined at the first visit to the Lipids Unit and after one year on a statin regime. APOE genotypes were determined by PCR-RFLP, and separated in three groups: E2 (E2 carriers), E4 (E4 carriers) and E3 (E3/E3). E2/E4 patients were not included in the study.

RESULTS

Relative frequencies of alleles epsilon2, epsilon3 and epsilon4 were 10.5%, 70.9% and 18.6% respectively. Significant differences among groups (p = 0.039) were observed for c-LDL concentrations. E2 group had lower c-LDL than E3 group (p = 0.017) and E4 group (p = 0.01). No significant differences in c-LDL, c-HDL and c-HDL/CT were observed among the three groups with regard to variation after statin treatment.

CONCLUSION

APOE genotype does not significantly affect the lipid response in patients with acute ischemic episodes after statin treatment.

Role of pharmacogenomics in drug discovery and development

Pharmacogenetics and pharmacogenomics are two major emerging trends in medical sciences, which influence the success of drug development and therapeutics. In current times, though pharmacogenetic studies are being done extensively for research, its application for drug development needs to get started on a large scale. The major determinants of success of a new drug compound, viz safety and efficacy, have become more predictable, with the advent of pharmacogenetic studies. There is a need felt for pharmacogenomic studies, where the effects of multiple genes are assessed with the study of entire genome.Pharmacogenetic studies can be used at various stages of drug development. The effect of drug target polymorphisms on drug response can be assessed and identified. In clinical studies, pharmacogenetic tests can be used for stratification of patients based on their genotype, which corresponds to their metabolizing capacity. This prevents the occurrence of severe adverse drug reactions and helps in better outcome of clinical trials. This can also reduce attrition of drug compounds. Further, the variations in drug response can be better studied with the wider application of pharmacogenomic methods like genome wide scans, haplotype analysis and candidate gene approaches. The cost of pharmacogenetic testing has become very low, with the advent of newer high throughput genotyping systems. However, the cost of pharmacogenomic methods continues to be very high. As the treatment with several drugs is being more and more pharmacogeneticaly guided (e.g. warfarin and irinotecan), the FDA has laid down guidelines for pharmaceutical firms regarding submission of pharmacogenetic data for their drug products in labelling.

Apolipoprotein E genotypes are associated with lipid-lowering responses to statin treatment in diabetes: a Go-DARTS study

BACKGROUND

Apolipoprotein E (APOE) genotypes have been associated with variations in plasma-lipid levels and with response to statins, although the influence of APOE on the response to statins remains controversial, especially in patients with diabetes. We sought to evaluate the association of the APOE genotype with the low-density lipoprotein cholesterol (LDLc)-lowering response to statins, in a large population-based cohort of patients with diabetes.

METHODS AND RESULTS

A total of 1383 patients, commencing statins between 1990 and 2006, were identified from the Genetics of Diabetes Audit and Research in Tayside Scotland database. Statin response was determined both by the minimum LDLc achieved, and by the failure of the patients to reach a clinical target LDLc (< or =2 mmol/l). APOE genotype and potential confounding covariates were entered into the linear and logistic regression models.

RESULTS

We found an association of APOE genotypes with both baseline and treatment responses. E2 homozygotes achieved lower LDLc levels (mean 0.6; confidence interval: 0.1-1.1 mmol/l) than E4 homozygotes (mean 1.7; confidence interval: 1.4-1.9 mmol/l; P=2.96 x 10). Minimum LDLc was associated by a linear trend with genotype. This relationship remained statistically significant after adjustment for baseline LDLc, adherence, duration, dose, smoking, and age. None of the E2 homozygotes failed to reach the target LDLc, compared with 32% of the E4 homozygotes (P=5.3 x 10).

CONCLUSION

This study demonstrates the potential clinical value of the APOE genotype as a robust marker for LDLc responses to statin drugs, which might contribute to the identification of a particularly drug-resistant subgroup of patients. This marker provides information over and above baseline lipid levels.

Genetic variation at the PCSK9 locus moderately lowers low-density lipoprotein cholesterol levels, but does not significantly lower vascular disease risk in an elderly population

Caucasian carriers of the T allele at R46L in the proprotein convertase subtilisin/kexin type 9 (PCSK9) locus have been reported to have 15% lower low-density lipoprotein (LDL) cholesterol (C) levels and 47% lower coronary heart disease (CHD) risk. Our objective was to examine two PCSK9 single nucleotide polymorphisms (SNPs), R46L and E670G, in 5783 elderly participants in Prospective Study of Pravastatin in the Elderly at Risk (PROSPER), of whom 43% had a history of vascular disease at baseline, and who were randomized to pravastatin or placebo with followup. In this population 3.5% were carriers of the T allele at R46L, and these subjects had significantly (p<0.001) lower levels of LDL C (mean, -10%), no difference in LDL C lowering response to pravastatin, and a non-significant 19% unadjusted and 9% adjusted decreased risk of vascular disease at baseline, with no on trial effect. Moreover, 6.0% were carriers of the G allele at E670G with no significant relationships with baseline LDL C, response to pravastatin, or vascular disease risk being observed. Our data support the concept that the rare allele of the R46L SNP at the PCSK9 locus significantly lowers LDL C, but does not greatly reduce CHD risk in an elderly population with a high prevalence of cardiovascular disease.

Genetic variation at the LDL receptor and HMG-CoA reductase gene loci, lipid levels, statin response, and cardiovascular disease incidence in PROSPER

Our purpose was to evaluate associations of single nucleotide polymorphisms (SNPs) at the low density lipoprotein (LDL) receptor (LDLR C44857T, minor allele frequency (MAF) 0.26, and A44964G, MAF 0.25, both in the untranslated region) and HMG-CoA reductase (HMGCR i18 T>G, MAF 0.019) gene loci with baseline lipid values, statin-induced LDL-cholesterol (C) lowering response, and incident coronary heart disease (CHD) and cardiovascular disease (CVD) on trial. Our population consisted of 5804 elderly men and women with vascular disease or one or more vascular disease risk factors, who were randomly allocated to pravastatin or placebo. Other risk factors and apolipoprotein (apo) E phenotype were controlled for in the analysis. Despite a prior report, no relationships with the HMGCR SNP were noted. For the LDLR SNPs C44857T and A44964G we noted significant associations of the rare alleles with baseline LDL-C and triglyceride levels, a modest association of the C44857T with LDL-C lowering to pravastatin in men, and significant associations with incident CHD and CVD of both SNPs, especially in men on pravastatin. Our data indicate that genetic variation at the LDLR locus can affect baseline lipids, response to pravastatin, and CVD risk in subjects placed on statin treatment.

Recent development in pharmacogenomics: from candidate genes to genome-wide association studies

Genetic diversity, most notably through single nucleotide polymorphisms and copy-number variation, together with specific environmental exposures, contributes to both disease susceptibility and drug response variability. It has proved difficult to isolate disease genes that confer susceptibility to complex disorders, and as a consequence, even fewer genetic variants that influence clinical drug responsiveness have been uncovered. As such, the candidate gene approach has largely failed to deliver and, although the family-based linkage approach has certain theoretical advantages in dealing with common/complex disorders, progress has been slower than was hoped. More recently, genome-wide association studies have gained increasing popularity, as they enable scientists to robustly associate specific variants with the predisposition for complex disease, such as age-related macular degeneration, Type 2 diabetes, inflammatory bowel disease, obesity, autism and leukemia. This relatively new methodology has stirred new hope for the mapping of genes that regulate drug response related to these conditions. Collectively, these studies support the notion that modern high-throughput single nucleotide polymorphism genotyping technologies, when applied to large and comprehensively phenotyped patient cohorts, will readily reveal the most clinically relevant disease-modifying and drug response genes. This review addresses both recent advances in the genotyping field and highlights from genome-wide association studies, which have conclusively uncovered variants that underlie disease susceptibility and/or variability in drug response in common disorders.

Effects of ezetimibe on lipids and lipoproteins in patients with hypercholesterolemia and different apolipoprotein E genotypes

BACKGROUND

The epsilon4 allele of the gene encoding apolipoprotein E (apoE) is associated with elevated serum levels of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), as well as an increased risk of coronary heart disease (CHD), greater disease severity, and higher CHD mortality. ApoE epsilon4 allele carriers have also shown reduced lipid and lipoprotein responses to lipid-modifying pharmacotherapy and lifestyle modifications.

OBJECTIVE

To provide preliminary descriptive data on the effects of apoE genotype on lipid and lipoprotein responses to the cholesterol absorption inhibitor ezetimibe (Ezetrol/Zetia) in Hungarian subjects not at cholesterol goals at baseline.

METHODS

This prospective open-label study compared the effects of the cholesterol absorption inhibitor ezetimibe 10 mg/day for up to 6 weeks added to existing therapies on the lipid profiles of 14 epsilon4 allele carriers and 14 age- and gender-matched APOE3/APOE3 homozygotes.

RESULTS

Treatment with ezetimibe reduced TC, LDL-, and triglycerides, and increased high-density lipoprotein cholesterol (HDL-) significantly from baseline, and to similar extents, in both groups, lowering TC from baseline by 13.7% in APOE3/APOE3 homozygotes compared with 12.1% in epsilon4 allele carriers (p = 0.139); LDL-C by 22.8% (vs. 19.6%; p = 0.081); and triglycerides by 9.2% (vs. 9.1%; p = 0.120). Ezetimibe also increased HDL-C by 8.0% in subjects with the epsilon3/epsilon3 genotype compared with 8.9% in epsilon4 allele carriers (p = 0.263).

CONCLUSIONS

Ezetimibe significantly improved lipid and lipoprotein profiles from baseline irrespective of apoE epsilon3/epsilon3 or epsilon4 genotype in Hungarian subjects not at cholesterol goals. Limitations of our study include its open-label nature and small sample population, as well as the facts that patients with the epsilon4 allele were not included and data were not collected on initial cholesterol levels, initial statin doses, cholesterol responses to statins, and the safety and tolerability of ezetimibe. Further randomized controlled studies in larger numbers of people followed for longer intervals are warranted to confirm these findings.

Pharmacogenetics and pharmacogenomics of cholesterol-lowering therapy

PURPOSE OF REVIEW

To summarize recent findings on pharmacokinetics, pharmacodynamics, drug-drug interactions and influence of lifestyle heterogeneity on adverse events in cholesterol-lowering therapy

RECENT FINDINGS

The prevention of cardiovascular disease is critically dependent on lipid-lowery therapy, including statins, cholesterol absorption inhibitors, fibrates and nicotinic acid. Statins are the most prescribed drugs in lipid lowering therapy with variability in response and almost one third of the patients do not meet their treatment goals. The severe adverse effects of treatment with cerivastatin stimulated the search for new genes and gene variations affecting pharmacokinetics, drug-drug interactions and pharmacodynamics. Moreover, instead of monotherapy, combined therapy of statins with ezetemibe and niacin was considered. This led to the identification of CD13, NPC1L1 and HM74A as new targets and CYP2C8 and glucuronidation enzymes as potential targets for drug-drug interactions. Moreover multiple polymorphic sites and pleiotrophic gene targets were reinvestigated in larger cohorts and the relevant pathogenetic factors start to evolve.

SUMMARY

Statin therapy is widely used and well tolerated by the majority of patients. To further reduce potential adverse effects and to increase efficacy, combined therapy concepts with ezetimibe or niacin are underway.

Electrochemical DNA biosensor using a disposable electrochemical printed (DEP) chip for the detection of SNPs from unpurified PCR amplicons

In this study, we are reporting for the first time the elucidation of single nucleotide polymorphisms (SNPs) of clinically important alleles from consenting human subjects using a disposable electrochemical printed (DEP) chip in connection with differential pulse voltammetry (DPV) and a redox active molecule Hoechst 33258 [H33258, 2'-(4-hydroxyphenyl)-5-(4-methyl-1-piperazinyl)-2,5'-bi(1H-benzimidazole)]. Post-PCR products were analyzed directly without any purification process. The aggregation of the DNA-H33258 complex causes a significant drop in the peak current intensity of H33258 oxidation. The phenomenon of DNA aggregation induced by H33258 in addition to changes in anodic current peak are used to detect SNPs. Since laborious probe immobilization was not required, our biosensor offers several benefits due to its simplicity and rapid response as a promising device for genetic analysis.

The effect of apolipoprotein E polymorphism on the response to lipid-lowering treatment with atorvastatin or fenofibrate

Although the effect of apolipoprotein E gene polymorphism on the response to treatment with statins has been studied, the results are conflicting. Moreover, little is known about the possible effect of apolipoprotein E alleles on the response to treatment with fibrates. The purpose of this study was to evaluate the effect of apolipoprotein E polymorphism on lipid-lowering response to treatment with atorvastatin and fenofibrate in patients with different types of dyslipidemia. The study population included 136 patients with heterozygous familial hypercholesterolemia (type IIA dyslipidemia) treated with atorvastatin (20 mg/day) and 136 patients with either primary hypertriglyceridemia (type IV dyslipidemia) or mixed hyperlipidemia (type IIB dyslipidemia) treated with micronized fenofibrate (200 mg/day). Overall, no significant associations were detected between apolipoprotein E genotype and response to treatment with atorvastatin. In patients treated with fenofibrate, significant associations were noted between apolipoprotein E genotype and changes in apolipoprotein B, apolipoprotein E and triglyceride levels. Specifically, in apolipoprotein E2, apolipoprotein E3, and apolipoprotein E4 individuals, apolipoprotein B reductions were 22%, 17%, and 8%, respectively (P = .003); apolipoprotein E reductions were 45%, 20%, and 15%, respectively (P = .006); whereas triglyceride reductions reached 53%, 36%, and 33%, respectively (P = .033). In conclusion, apolipoprotein E genotype had no significant effect on the response to treatment with atorvastatin in patients with heterozygous familial hypercholesterolemia, but in patients with primary hypertriglyceridemia or mixed hyperlipidemia, there was a clear association between apolipoprotein E genotype and response to treatment with fenofibrate.

Unraveling a complex genetic disease: age-related macular degeneration

In most of the Western world, age-related macular degeneration (AMD) remains the largest single cause of severe visual impairment, and its prevalence continues to increase. It is considered to be a complex disease, in which multiple genes and environment play a role in pathogenesis. Several environmental insults are implicated with smoking, serum cholesterol, hypertension, sunlight exposure, and many other factors being variously associated with disease pathogenesis. Until recently, there have been relatively few breakthroughs to further our understanding of the genetics of AMD, despite remarkable progress in molecular genetic techniques over the last 20 years, and the fact that many rare inherited macular diseases have had their causative genes mapped. Development of new tools such as high-density single-nucleotide polymorphism chips and microarrays have changed the face of genetic research, but have yet to directly translate into improved clinical outcomes in ophthalmology. However with the recent finding of the Tyr402His polymorphism in the complement factor H gene being implicated in AMD, we are about to witness a new wave of research in this disease. Not only does the identification of a biologically plausible gene identify a new pathway, but it also identifies new biological mechanisms for disease, avenues to pursue treatment, and a better understanding of how the environment interacts with the genetic background to create disease. This article aims to review the process of gene discovery in complex disease, why the search for genes remains difficult, how to translate laboratory findings to a clinical setting, and how these findings will impact on disease treatment and public health issues.

Influencia de los factores genéticos y ambientales en el metabolismo lipídico y riesgo cardiovascular asociado al gen apoE

The apolipoprotein E (ApoE) plays an important role in lipid metabolism. This apoprotein presents three major isoforms (apoE2, apoE3 and apoE4) that modulate lipid levels. Carriers of the apoE4 allele have higher total and LDL-cholesterol plasma concentration and a greater coronary risk, particularly for myocardial infarction. Nevertheless, not all the people with this allele develop the disease, which suggests that other genetic or environmental factors are necessary for its total expression. In this review, we will analyze the importance of several polymorphisms in the apoE gene promoter region, as well as various environmental factors, including diet, in the association of this gene with lipid metabolism and cardiovascular risk.

Pharmacogenetic determinants of variability in lipid-lowering response to pravastatin therapy

Pravastatin is mainly taken up from the circulation into the liver via organic anion-transporting polypeptide 1B1 (SLCO1B1 gene product). We examined the contribution of genetic variants in the SLCO1B1 gene and other candidate genes to the variability of pravastatin efficacy in 33 hypercholesterolemic patients. In the initial phase of pravastatin treatment (8 weeks), heterozygous carriers of the SLCO1B1*15 allele had poor low-density lipoprotein cholesterol (LDL-C) reduction relative to non-carriers (percent reduction: -14.1 vs -28.9%); however, the genotype-dependent difference in the cholesterol-lowering effect disappeared after 1 year of treatment. Cholesterol 7alpha-hydroxylase (CYP7A1) and apolipoprotein E (APOE) are known to contribute to lipid metabolism. Homozygous carriers of the CYP7A1 -204C allele or heterozygotes for both CYP7A1 -204C and APOE epsilon4 alleles showed significantly poorer LDL-C reduction compared to that in other genotypic groups after 1 year of treatment (-24.3 vs -33.1%). These results suggest that the SLCO1B1*15 allele is associated with a slow response to pravastatin therapy, and the combined genotyping of CYP7A1 and APOE genes is a useful index of the lipid-lowering effect of pravastatin.

Pharmacogenetics of chronic cardiovascular drugs: applications and implications

Cardiovascular disease continues to be a tremendous worldwide problem, and drug therapy is a major modality to attenuate its burden. At present, conditions such as hypertension, dyslipidaemia and heart failure are pharmacologically managed with an empirical trial-and-error approach. However, it has been suggested that this approach fails to adequately address the therapeutic needs of many patients, and pharmacogenetics has been offered as a tool to enhance patient-specific drug therapy. This review outlines pharmacogenetic studies of common cardiovascular drugs, such as diuretics, beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statins and warfarin, ultimately highlighting considerations for future research and practice.

Pharmacogenomics of cholesterol-lowering therapy

The prevention of cardiovascular disease is critically dependent on lipid-lowering therapy, including 3-hydroxymethyl-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors (statins), cholesterol absorption inhibitors, bile acid resins, fibrates, and nicotinic acid. Although these drugs are generally well tolerated, severe adverse effects can occur in a minority of patients. Furthermore, a subset of patients does not respond to cholesterol-lowering therapy with a reduction in coronary heart disease progression. Significant progress has been made in the identification of common DNA sequence variations in genes influencing the pharmacokinetics and pharmacodynamics of statins and in disease-modifying genes relevant for coronary heart disease (CHD). Among the most promising candidate genes for pharmacogenomic analysis of statin therapy are HMG-CoA reductase as a direct target gene and other genes modulating lipid and lipoprotein homeostasis. Based on data from pharmacogenetic trials, a combined analysis of multiple genetic variants in several genes is more likely to give significant results than single gene studies in small cohorts. In the future, pharmacogenomic testing may allow risk stratification of patients to avoid serious side effects and enable clinicians to select lipid-lowering drugs with the highest efficacy resulting in the best response to therapy.

Pharmacogenetic study of apolipoprotein E, cholesteryl ester transfer protein and hepatic lipase genes and simvastatin therapy in Brazilian subjects

BACKGROUND

In recent years, one of the focuses of genetic investigation in cardiology has been to identify the genetic factors associated with variable response to statin treatment. Polymorphisms in apolipoprotein E (APOE), cholesteryl ester transfer protein (CETP) and hepatic lipase (LIPC), proteins with major roles in lipid metabolism and homeostasis have been shown associated with lipid-lowering drugs response.

METHODS

One hundred forty-six hypercholesterolemic patients of European descent were prospectively enrolled and treated with simvastatin 20 mg per day for over 6 months. Ninety-nine subjects completed the 6-month follow-up. Plasma lipids and lipoproteins were measured before and throughout the study. APOE (E*2, E*3 and E*4), LIPC-250A > G and CETP TaqIB genotypes were determined by PCR and restriction mapping.

RESULTS

After a 6-month follow-up, no differences among genotypes in the percentage variation in lipid and lipoprotein concentrations for APOE and LIPC SNPs were observed. After adjustment for covariates, CETP B2B2 homozygotes showed a greater HDL-cholesterol increase compared to B1B2 and B1B1 subjects (14.1% vs. 1.7% and 1.3%, P < 0.05, respectively).

CONCLUSION

Our study demonstrates that individual plasma HDL-cholesterol response to simvastatin is mediated, in part, by the CETP gene locus, with the B2 homozygotes having more benefit in HDL-C improvement than carriers of B1 allele.

Genetic and environmental factors affecting the response to statin therapy in patients with molecularly defined familial hypercholesterolaemia

Familial hypercholesterolaemia (FH) is the most common inherited metabolic disease characterized by elevated serum levels of low-density lipoprotein cholesterol (LDL-C) and ischaemic heart disease early in life. Early diagnosis and treatment are essential to prevent premature atherosclerosis in FH patients. The aim of our study was the evaluation of the effects of genetic [class of the LDL receptor (LDLR) gene mutation, apolipoprotein (apo)E, apoA-IV and cholesterol ester transfer protein gene polymorphisms] and environmental factors (age, sex, smoking habit and body mass index) on the lipid-lowering response to statin therapy in patients with molecularly defined FH. Atorvastatin 20 mg/day was prescribed in 49 patients with heterozygous FH. The lipid profile was examined before and after 12 weeks of therapy. Statin therapy resulted in a decrease of 37% and 36% in LDL-C and apoB levels, respectively. The study population was then divided into 2 groups according to the class of the LDLR mutation [patients sharing a class V mutation (the G1775A mutation, n=21) and patients sharing class II mutations (the G1646A and the C858A mutations, n=28)]. In both groups, the percentage decrement in LDL-C and apoB levels were correlated with the initial LDL-C and apoB levels, respectively. The class of the LDLR mutation affected the LDL-C and apoB-lowering response of heterozygous FH patients to statin therapy. In detail, heterozygotes sharing a class V mutation of the LDLR showed a higher percentage decrement in LDL-C and apoB levels after atorvastatin administration compared to patients sharing class II mutations (49+/-9% versus 34+/-9%, P=0.001 for LDL-C and 42+/-16% versus 35+/-20%, P=0.001 for apoB). The influence of the classes of the LDLR gene mutations on the change of LDL-C and apoB levels to atorvastatin was still significant in a multivariate analysis. None of the other genetic and environmental factors studied affected the lipid-lowering response to atorvastatin therapy in patients with heterozygous FH in a multivariate analysis. Our data indicate that the class of the LDLR gene mutation affects the LDL-C and apoB-lowering response of heterozygous FH patients to statin therapy. Specifically, patients with a class V mutation exhibit higher percentage decrease in LDL-C and apoB levels after statin therapy compared to patients sharing class II mutations.