Evaluation of a pleiotropic cytokinin polymorphism with cerebral infarction in a Chinese male population
Pleiotropic cytokinin polymorphism and cerebral infarction
Keywords:
Pleiotropic Cytokinin, Polymorphism, Cerebral Infarction, Interleukin 6Abstract
Cardiovascular diseases, particularly stroke, are a leading cause of morbidity and mortality worldwide. Genetic variations in genes associated with inflammation have been implicated in the pathogenesis of stroke. Interleukin-6 (IL-6), a pleiotropic cytokine with diverse biological functions, has been linked to cardiovascular diseases and stroke. The relationship between cerebral ischemia and inflammation is well-established, suggesting a potential role for IL-6 polymorphisms in stroke susceptibility. In the context of this study, the focus is on evaluating a pleiotropic cytokinin polymorphism, specifically IL-6-572GC, and its association with cerebral infarction in a Chinese male population. The investigation aims to elucidate the genetic correlation between IL-6 polymorphisms and stroke risk, particularly in the context of hemorrhagic subtype of stroke. The study utilizes a case-control design, comparing stroke patients with healthy controls while adjusting for classic risk factors associated with stroke. The methodology employed includes the detection of IL-6 polymorphisms using Real Time Taq Man Probe and PCR-RFLP methods. The results suggest an association between the IL-6-572GC genotype and an increased risk of stroke, particularly in the hemorrhagic subtype. However, the relationship between another IL-6 polymorphism, IL-6-174GC, and stroke remains inconclusive, except for a potential correlation with one allele. The findings underscore the potential role of IL-6-572GC genotype as a genetic risk factor for stroke in the Chinese male population under study. Further research involving larger cohorts is warranted to validate these results and clarify the role of IL-6-174GC polymorphism in stroke susceptibility. Understanding the genetic underpinnings of stroke can provide valuable insights for risk assessment and personalized treatment strategies in affected populations.
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