Font Size: a A A

The Relationship Between CHI3L1 And GP6 Gene Polymorphism And Atherosclerotic Cerebral Infarction

Posted on:2019-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:X FanFull Text:PDF
GTID:2394330566970578Subject:Neurology
Abstract/Summary:PDF Full Text Request
Objective:Atherosclerotic cerebral infarction(ACI)is also known as atherosclerotic thrombosis.It is the most common type of cerebral infarction,and its etiology is complex and affected by many factors.What we usually understand the pathogenic factors are smoking,hypertension,diabetes,high fat diet,but many long-term smoking and high blood pressure and cerebral infarction in patients with disease,but no susceptibility factors of patients with early disease,it reminds us of cerebral infarction may be related to other factors such as genetic factors.Gene polymorphism refers to the biological community in a variety of genes,such as most of the population of a single nucleotide polymorphism(SNP)locus of the base sequence of CC,and minorities performance for CG or GG,so whether the presence of G allele can lead to the individuals are more likely to develop some kind of disease?The polymorphisms of this site can be determined by confirming the difference between the specific allele frequency of a polymorphic site and the normal population.This is what our research topic,if you can in the early detection of a disease gene polymorphism loci,we can to disease susceptibility screening of the crowd,protective early to susceptible population,the disease in the bud.More importantly,through the clinical summary,we can infer the clinical manifestation and trend of the patients after the onset of the disease,explore the sensitive drugs and carry out individualized treatment.This will undoubtedly improve the clinical diagnosis and treatment,and promote the rapid development of medical services.As is known to all,cerebral infarction is a disease that seriously endangers human health.There is no radical cure,and most patients have residual sequelae,so the early warning of this disease is particularly important.This study aims to explore the relationship between the genetic polymorphism of rs1671153 and rs1654419 of the CHI3L1 gene in the han population in liaoning province.Methods:The case-control study method,the selection in January 2017-June 2017,shenyang shengjing hospital neurology diagnosed with acute artery atherosclerotic cerebral infarction patients 213 cases for groups,to a medical center over the same screening of the physical examination of 197 cases as control group.The blood samples were extracted from the blood samples in the morning and the blood samples were extracted from the blood samples.The target gene was amplified by multiple PCR.The polymorphism detection reaction(IMLDR)was used to genotype the polymorphisms.The product was sequenced on the ABI3730 XL sequencer.After the data was sorted,SPSS 20 was adopted.Statistical analysis of statistical software.Results:1.Rs4950928 is on the CHI3L1 gene and the chromosome position is1:203186754;Rs1671153 is on the GP6 gene,the chromosome location is19:55015821;Rs1654419 is on GP6 gene,the chromosome location is 19:55024513.2.Compared with the control group,the age,gender,TG,TC,hdl-c,APOA1 and alcohol consumption were not statistically significant(P > 0).05);Differences in ldl-c,APOB,FPG,hypertension,diabetes and smoking were statistically significant(P < 0.05).3.The three SNP sites in the case group and the control group were all satisfied with the Hardy-Weinberg balance: the control group rs4950928(2 = 0.195,P = 0.658),rs1671153(2 = 0.172,P = 0.678);Rs 1654419(chi-2 = 0.225,P = 0.614).P value is greater than 0.05,indicating that the sample has good representativeness.The three genotypes of the CHI3L1 gene rs4950928 were CC,GC and GG.The frequencies of these three genotypes in the cerebral infarction group were 0.714,0.272,0.014,and the frequency of the C allele was 0.850,and the frequency of the G allele was0.150.In the control group,the frequency was 0.761,0.218,0.020,and the frequency of the C allele was 0.871,and the frequency of the G allele was 0.129.Based on CC,the Logistic analysis results of GC and GG genotypes in case group and control group were not statistically significant(GC vs CC:P=0.217,adjusted OR=1.333,adjusted95%CI=0.845-2.103;GG vs CC:P=0.720,adjust OR=0.758,adjust95%CI=0.166-3.467.In the analysis of the explicit model and the implicit model,the difference was still not statistically significant(explicit model :P=0.269,adjust OR=1.284,adjust 95%CI=0.824-2.002;The recessive model P=0.652,adjust OR=0.705,adjust 95%CI=0.155-3.214).In the case of allele C,the Logistic analysis results of the allele G in the case group and the control group were not statistically significant(P=0.392,OR=1.189,95%CI=0.800-1.768).The three genotypes of GP6 gene rs1671153 were TT,GT and GG.The frequencies of these three genotypes in the cerebral infarction group were 0.737,0.235,0.028,and the frequency of the T allele was 0.854,and the frequency of the G allele was 0.146.In the control group,the frequency was 0.731,0.244,0.025,and the frequency of the T allele was 0.853,and the frequency of the G allele was 0.147.According to TT,the Logistic analysis results of GT and GG genotypes in the case group and the control group were not statistically significant(GT vs TT:P=0.792,adjusted OR=0.940,adjusted95%CI=0.595-1.487);GGvs TT:P=0.836,adjust OR=1.136,adjust95%CI=0.338-3.827).In the analysis of explicit and implicit models,the difference was still not statistically significant(explicit model :P=0.850,adjust OR=0.959,adjust95%CI=0.617-1.489;Recessive model :P=0.817,adjust OR=1.154,adjust95%CI=0.344-3.864.In terms of allele T,the Logistic analysis results of the allele G in the case group and the control group were not statistically significant(P=0.946,OR=0.987,95%CI=0.670-1.454).The three genotypes of GP6 gene rs1654419 were GG,AG and AA.The frequencies of these three genotypes in cerebral infarction group were 0.751,0.221,0.028,and the frequency of the G allele was 0.862,and the frequency of A allele was 0.138.In the control group,the frequency was 0.736,0.239,0.025,and the frequency of the G allele was 0.855,and the frequency of A allele was0.145.With GG as the reference,the Logistic analysis results of AG and AA genotypes in the case group and control group were not statistically significant(AG vs GG:P=0.618,adjusted OR=0.888,adjusted 95%CI=0.558-1.414).AA vs GG:P=0.852,adjust OR=1.122,adjust 95%CI=0.333-3.778.In the analysis of explicit and implicit models,the difference was still not statistically significant(explicit model :P=0.680,adjusted OR=0.910,adjusted 95%CI=0.583-1.422;Recessive model :P=0.817,adjust OR=1.154,adjust 95%CI=0.334-3.864.In the case of allele G,the Logistic analysis results in the case group and the control group were not statistically significant(P=0.800,OR=0.950,95%CI=0.642-1.408).4.Logistic regression analysis of hypertension,diabetes,smoking,alcohol consumption and ACI was associated with hypertension: P=0.002,OR(95%CI)= 3.469(1.591,7.566).Diabetes: P=0.005,OR(95%CI)= 3.133(1.417,6.925).Smoking: P=0.035,OR(95%CI)=2.331(1.063,5.112).Alcohol consumption: P=0.210,OR(95%CI)=1.709(0.740,3.949).High blood pressure,diabetes and smoking were all associated with ACI susceptibility,and alcohol consumption was not associated with ACI susceptibility.Conclusion:1.Age,sex,alcohol consumption,and serum TG,TC,hdl-c and APOA1 levels were not related to the incidence of ACI in this experiment.Elevated levels of hypertension,diabetes,smoking and serum ldl-c,APOB,and FPG were associated with the incidence of ACI,which was a risk factor for ACI.2,rs4950928 CHI3L1 gene loci and rs1671153,rs1654419 GP6 gene loci of the genotype and allele in ACI group and the control group no obvious difference of distribution,prove the three SNPS loci polymorphism in liaoning province and the han nationality population susceptibility has no significant correlation(ACI),the presence of the allele don't make ACI risk factors of the disease.3.Hypertension,diabetes and smoking were all related to ACI susceptibility,and alcohol consumption was not associated with ACI susceptibility.The risk of ACI was 3.469 times higher in patients with hypertension than in patients with hypertension.The risk of ACI in diabetic patients is 3.133 times that of non-diabetic patients.The risk of ACI was 2.331 times that of non-smokers.
Keywords/Search Tags:gene polymorphism, atherosclerotic cerebral infarction, CHI3L1 gene, GP6gene
PDF Full Text Request
Related items