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Objective: To assess the association of cytochrome P450 (CYP450) gene polymorphisms with the occurrence of ischemic stroke (IS)., Methods: From January 2020 to August 2022, 390 IS patients treated at the Zhengzhou Seventh People's Hospital were enrolled as the study group, and 410 healthy individuals undergoing physical examination during the same period were enrolled as the control group. Clinical data of all subjects were collected, which included age, sex, body mass index (BMI), smoking history and results of laboratory tests. Chi-square test and independent sample t test were used for comparing the clinical data. Multivariate logistic regression analysis was used to analyze the non-hereditary independent risk factors for IS. Fasting blood samples of the subjects were collected, and the genotypes of rs4244285, rs4986893, rs12248560 of the CYP2C19 gene and rs776746 of the CYP3A5 gene were determined by Sanger sequencing. The frequency of each genotype was calculated by using SNPStats online software. The association between the genotype and IS under the dominant, recessive and additive models was analyzed., Results: The levels of total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), apolipoprotein B (Apo-B) and homocysteine (Hcy) of the case group were significantly higher than those of the control group, whilst the levels of high density lipoprotein (HDL-C) and Apo-A1 (APO-A1) were significantly lower (P < 0.05). Multivariate Logistic regression analysis showed that TC (95%CI = 1.13-1.92, P = 0.02), LD-C (95%CI = 1.03-2.25, P = 0.03), Apo-A1 (95%CI = 1.05-2.08, P = 0.04), Apo-B (95%CI = 1.7-4.22, P < 0.01) and Hcy (95%CI = 1.12-1.83, P = 0.04) were non-genetic independent risk factors for the occurrence of IS. Analysis of the association between the genetic polymorphisms and the risk of IS showed that the AA genotype at rs4244285 of the CYP2C19 gene, the AG genotype and A allele at rs4986893 of the CYP2C19 gene, and the GG genotype and G allele at rs776746 of the CYP3A5 gene were significantly associated with IS. Under the recessive/additive model, dominant model and dominant/additive model, polymorphisms of the rs4244285, rs4986893 and rs776746 loci were also significantly associated with the IS., Conclusion: TC, LDL-C, Apo-A1, Apo-B and Hcy can all affect the occurrence of IS, and CYP2C19 and CYP3A5 gene polymorphisms are closely associated with the IS. Above finding has confirmed that the CYP450 gene polymorphisms can increase the risk of IS, which may provide a reference for the clinical diagnosis.

Objective: To analyze variant of LDLR gene in a patient with familial hypercholesterolemia (FH) in order to provide a basis for the clinical diagnosis and genetic counseling., Methods: A patient who had visited the Reproductive Medicine Center of the First Affiliated Hospital of Anhui Medical University in June 2020 was selected as the study subject. Clinical data of the patient was collected. Whole exome sequencing (WES) was applied to the patient. Candidate variant was verified by Sanger sequencing. Conservation of the variant site was analyzed by searching the UCSC database., Results: The total cholesterol level of the patient was increased, especially low density lipoprotein cholesterol. A heterozygous c.2344A>T (p.Lys782*) variant was detected in the LDLR gene. Sanger sequencing confirmed that the variant was inherited from the father., Conclusion: The heterozygous c.2344A>T (p.Lys782*) variant of the LDLR gene probably underlay the FH in this patient. Above finding has provided a basis for genetic counseling and prenatal diagnosis for this family.

Objective: To investigate the relationship between polycystic ovary syndrome (PCOS) susceptibility single nucleotide polymorphisms (SNP) and metabolic phenotypes in glucose and lipid metabolism and explore the pathophysiological mechanism of the susceptibility genes., Methods: Three of PCOS susceptibility locus 2p16.3 (rs13405728 of LHCGR gene), 2p21 (rs13429458, rs12478601 of THADA gene) and 9q33.3 (rs2479106, rs10818854 of DENNDIA gene) were selected and the metabolic phenotypes were compared between different genotypes of SNP in PCOS patients (using dominant model)., Results: Low-density lipoprotein cholesterol was significantly increased in CC genotype group than in TC + TT groups at rs12478601 of THADA gene [(2.5 ± 0.8), (2.4 ± 0.8) mmol/L; P = 0.01]. Serum insulin level of 2 hours after 75 g glucose intake was significantly higher in GG+AG groups than that of AA group at rs2479106 of DENND1A gene[(71 ± 65), (64 ± 50) mU/L; P = 0.05 ], and the prevalence of type II diabetes in first-degree relatives of patients were also increased [9.9% (66/666), 6.9% (52/751); P < 0.05]. No association was found between metabolic phenotypes and genotypes of rs13429458, rs10818854, and rs13405728., Conclusions: Genetic factors probably have effect on the metabolic characteristics of PCOS. THADA gene is related to lipid metabolism, while DENND1A gene may be involved in insulin metabolism in patients with PCOS.

Objective: To study the association of integrin alpha-2 (ITGA2) gene C807T, integrin beta-3 (ITGB3) gene T176C polymorphisms with ischemic stroke and the effect of the polymorphisms on plasma lipid and lipoprotein levels., Methods: Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and DNA sequencing were used to detect the integrin genotypes in 265 patients with ischemic stroke and 280 healthy controls. The plasma lipid and lipoprotein levels were measured by routine method., Results: Plasma total cholesterol (TC), triacylglycerol (TG) and low density lipoprotein-cholesterol (LDL-C) in the patients with ischemic stroke were significantly higher than those in the controls (P< 0.05). The distributions of the ITGB3 gene T176C polymorphism were not different between the ischemic stroke group and control group, but the ITGA2 gene C807T polymorphism was significantly different. The relative risk suffering from ischemic stroke of the T allele carrier was 1.455 times as that of the C allele carrier (OR=1.455, 95%CI: 1.134-1.866). The level of plasma lipid in the T allele carriers was significantly higher than that in the C allele carriers (P< 0.05)., Conclusion: The ITGA2 gene C807T polymorphism was associated with ischemic stroke, the 807 T allele may be a genetic risk factor for ischemic stroke. The ITGA2 gene C807T polymorphism may affect ischemic stroke through plasma lipid and lipoprotein levels.

Objectives: To study the contribution of the genes and environment to variation of serum levels of lipids and lipoprotein., Methods: One hundred and forty-three healthy monozygotic (MZ) twin pairs and 93 dizygotic (DZ) ones aged 5 to 19 [with a mean of (11.2 +/- 3.4) years]. Microsatellite polymorphism (STR) was used to diagnose zygosity of twins, and intraclass correlation coefficient method and Falconer formula were performed to investigate heritability of serum lipids and lipoproteins unadjusted or adjusted for age and sex. Logarithmic transformation was used for data with skewed distribution. Influence of relevant physical and biochemical indicators on serum lipids and other components was analyzed with partial coefficients of correlation adjusted for age and sex., Results: In the twin samples, difference in serum level of triglycerides (TG) between MZ and DZ was not statistically significant with intraclass variation and intraclass correlation. There was significant difference in serum levels of total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), and lipoprotein [Lp(a)] between MZ and DZ, with their heritability estimates of 0.56, 0.55, 0.49 and 0.58 unadjusted, respectively, and 0.63, 0.63, 0.55 and 0.64 adjusted for age and sex, respectively. Serum levels of TC, HDL-C, LDL-C and Lp(a) correlated reversely with age. Serum levels of TC, HDL-C and LDL-C in girls were slightly higher than those in boys. Most indicators for serum levels of lipids and lipoprotein, except for serum level of Lp(a) correlated with body mass index (BMI), body fat ratio, Pelidisi index, and other indexes such as blood pressure, blood sugar, serum level of calcium, adjusted for age and sex., Conclusions: Serum levels of TC, HDL-C and Lp(a) were influenced more greatly by genetic factors, and serum level of TG was mainly influenced by environmental ones. Levels of blood lipids in children were influenced by age and sex, and correlated with indicators that reflect their body fat and nutritional status.