Kumar Amit, Misra Shubham, Kumar Pradeep, Sagar Ram, Gulati Arti, Prasad Kameshwar
a Department of Neurology , All India Institute of Medical Sciences , New Delhi , India.
Neurol Res. 2017 Aug;39(8):689-694. doi: 10.1080/01616412.2017.1333975. Epub 2017 May 31.
Stroke remains a leading cause of death and disability worldwide. Ischemic stroke (IS) accounts for around 80-85% of total stroke and is a complex polygenic multi-factorial disorder which is affected by a complex combination of vascular, environmental, and genetic factors.
The study was conducted with an aim to examine the relationship of single nucleotide polymorphisms (SNPs) of PDE4D (T83C, C87T, and C45T) gene with increasing risk of IS in patients in North Indian population.
In this hospital-based case-control study, 250 IS subjects and 250 age-and sex-matched control subjects were enrolled from the Neurosciences Centre, A.I.I.M.S., New Delhi, India. Deoxyribonucleic acids (DNAs) were extracted using the conventional Phenol-Chloroform isolation method. Different genotypes were determined by Polymerase chain reaction- Restriction fragment length polymorphism method. Odds ratio (OR) and 95% Confidence Interval (CI) of relationship of polymorphisms with risk of IS were calculated by conditional multivariable regression analysis.
High blood pressure, low socioeconomic status, dyslipidemia, diabetes, and family history of stroke were observed to be statistically significant risk factors for IS. Multivariable adjusted analysis demonstrated a statistically significant relationship between SNP 83 of PDE4D gene polymorphism and increasing odds of IS under the dominant model of inheritance (OR, 1.59; 95% CI, 1.02 to 2.50; p value = 0.04) after adjustment of potential confounding variables. Stratified analysis on the basis of TOAST classification demonstrated a statistically significant association for increasing 2.73 times odds for developing large vessel disease stroke as compared to controls (OR, 2.73; 95% CI, 1.16 to 0.02; p value = 0.02). We did not find any significant association of SNPs (C87T and C45T) of the PDE4D gene with the risk of IS.
SNP 83 of PDE4D gene may increase the risk for developing IS whereas SNP 87 and SNP45 of PDE4D may not be associated with the risk of IS in the North Indian population. Prospective cohort studies are required to corroborate these findings.
中风仍然是全球范围内死亡和残疾的主要原因。缺血性中风(IS)约占中风总数的80 - 85%,是一种复杂的多基因多因素疾病,受血管、环境和遗传因素的复杂组合影响。
本研究旨在探讨磷酸二酯酶4D(PDE4D)基因单核苷酸多态性(SNP,T83C、C87T和C45T)与印度北部人群IS发病风险增加之间的关系。
在这项基于医院的病例对照研究中,从印度新德里全印医学科学研究所神经科学中心招募了250例IS患者和250例年龄及性别匹配的对照者。采用传统的酚 - 氯仿分离法提取脱氧核糖核酸(DNA)。通过聚合酶链反应 - 限制性片段长度多态性方法确定不同的基因型。通过条件多变量回归分析计算多态性与IS风险关系的比值比(OR)和95%置信区间(CI)。
高血压、低社会经济地位、血脂异常、糖尿病和中风家族史被观察到是IS的统计学显著危险因素。多变量调整分析表明,在调整潜在混杂变量后,PDE4D基因多态性的SNP 83与显性遗传模型下IS发病几率增加之间存在统计学显著关系(OR,1.59;95% CI,1.02至2.50;p值 = 0.04)。基于TOAST分类的分层分析表明,与对照组相比,发生大血管疾病中风的几率增加2.73倍具有统计学显著相关性(OR,2.73;95% CI,1.16至0.02;p值 = 0.02)。我们未发现PDE4D基因的SNP(C87T和C45T)与IS风险有任何显著关联。
PDE4D基因的SNP 83可能增加IS发病风险,而PDE4D的SNP 87和SNP45可能与印度北部人群的IS风险无关。需要前瞻性队列研究来证实这些发现。