Although the clinical efficacy of statins has been well established, there is a wide inter-individual variation in the lipid responses to statins. Pharmacogenetic studies have identified some genetic differences that contribute to the variation, but overall the results have been disappointing. The studies described in this thesis were performed to examine whether certain genetic variants predicted the lipid responses to rosuvastatin in Chinese patients. Over 400 Chinese patients with increased risk of cardiovascular disease (CVD) who were treated with rosuvastatin 10 mg daily for at least 4 weeks (more than 97% of patients had at least 6 weeks treatment) were studied, including 166 having familial hypercholesterolaemia (FH) and 36 having rheumatoid arthritis (RA). They were genotyped for 135 polymorphisms in 62 candidate genes/loci potentially related to pharmacokinetics or pharmacodynamics of statins and lipid metabolism. Associations between genetic polymorphisms and the lipid responses to rosuvastatin were analyzed in 386 patients with good compliance. The associations between genetic polymorphisms and some risk factors for CVD including baseline lipid levels, high-sensitivity C-reactive protein (hsCRP), uric acid and bilirubin levels were also analyzed. / Some novel genetic determinants of the LDL-C response to rosuvastatin treatment have been identified in this study. The responses in HDL-C and triglycerides were related more closely to the baseline levels of these lipids than to any of the polymorphisms examined. Genetic associations with baseline lipid parameters, hsCRP, uric acid and bilirubin were identified and generally correspond with some of the previous reports of studies in Chinese and other ethnic groups. / The key findings of the study are as follows: 1. The polymorphisms most highly associated with the low-density lipoprotein cholesterol (LDL-C) response were 421C>A in the ATP-binding cassette G2 (ABCG2) gene (P=9.2x10 -7), followed by 18281G>A (V257M) in the flavin-containing monooxygenase 3 (FMO3) gene (P=0.0002), 1421C>G in the lipoprotein lipase (LPL) gene (P=0.002), and rs4420638 in the apolipoprotein E/C-I/C-IV/C-II (APOE/C1/C4/C2) gene cluster (P=0.004). These genetic polymorphisms and having FH totally explained 13.6% of the variance in percentage change in LDL-C in response to rosuvastatin. The greater percentage reduction in LDL-C in patients with the ABCG2 421AA genotype compared to those with the ABCG2 421CC genotype was equivalent to at least doubling the dose of rosuvastatin. 2. Three SNPs (glucokinase regulator [ GCKR] rs1260326, apolipoprotein AS [APOA5] -1131T>C and the solute carrier organic anion transporter 1B1 [SLCO1B1] 521T>C) tended to be associated with percentage changes in high-density lipoprotein cholesterol (HDL-C) (P<0.05), but none of these reached the overall significance level. In multivariate stepwise regression analysis, baseline HDL-C (P=1.6x10 -6), having diabetes (P=0.0004) or RA (P=0.002) and the SLCO1B1 521T>C polymorphism (P=0.03) were determinants of HDL-C responses, contributing 9.9% of the variance in percentage change in HDL-C, but the genetic factors only contributed to 0.8% of the variance. 3. The triglyceride response to rosuvastatin was highly variable and was strongly related to baseline levels. The diacylglycerol acyltransferase-2 (DGAT2) rs10899113 C>T polymorphism tended to be associated with reduced triglyceride response in a gene-dose dependent manner. However, in multivariate stepwise regression analysis, baseline triglyceride level was the only factor that strongly related to the triglyceride response, explaining 14.4% of the variance. 4. This study has also analyzed relationships between on-treatment plasma hsCRP concentrations and cardiovascular risk factors and 14 single nucleotide polymorphisms in CRP and other candidate genes, which showed that central obesity, low HDL-C and CRP polymorphisms are major determinants of higher hsCRP levels in Chinese patients on treatment with rosuvastatin. 5. The association between genetic polymorphisms and lipid traits were analyzed in FH and non-FH patients separately due to their different lipid profiles. The analysis has shown that there were different genetic predictors of lipid levels in patients with and without FH and that more genetic factors appeared to affect the baseline lipid levels in patients with FH compared to non-FH patients, suggesting complex interactions between genetic and environmental factors and plasma cholesterol levels in patients with and without FH. 6. The SLC2A9 (solute carrier family 2, member 9) rs1014290 T>C was significantly associated with plasma uric acid levels in a gene-dose dependent manner (P=1.0x10-5) and the relationship was more pronounced in women or in patients without hypertension than in men or patients with hypertension. The ABCG2 421 C>A did not show a significant effect on uric acid levels. 7. The UGT1A1 (uridine diphosphate glucuronosyltransferases family, polypeptide A1) variants *28 (P=1.5x10 -9) and *6 (P=2.2x10-7) were independently associated with increased baseline bilirubin levels. Polymorphisms in SLCO1B1 did not appear to affect bilirubin levels in this study. / Hu, Miao. / Adviser: Brian Tomlinson. / Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 230-264). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_344497 |
| Date | January 2010 |
| Contributors | Hu, Miao., Chinese University of Hong Kong Graduate School. Division of Medical Sciences. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, theses |
| Format | electronic resource, microform, microfiche, 1 online resource (xxvii, 265, 26, [5] leaves : ill.) |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Page generated in 0.002 seconds