Pradeep Kumar1, Amit Kumar1, Ram Sagar1, Shubham Misra1, Mohammad Faruq2, Varun Suroliya1, Subiah Vivekanandhan3, Achal Kumar Srivastava1, Kameshwar Prasad4. 1. Department of Neurology, All India Institute of Medical Sciences, New Delhi, India. 2. Department of Functional Genomics, Institute of Genomics and Integrative Biology, New Delhi, India. 3. Department of Neurobiochemistry, All India Institute of Medical Sciences, New Delhi, India. 4. Department of Neurology, All India Institute of Medical Sciences, New Delhi, India. Electronic address: kp0704@gmail.com.
Abstract
BACKGROUND: Anti-inflammatory interleukin-10 (IL-10) cytokine and its genetic variations may play an important role in the pathogenesis of various human diseases including stroke. OBJECTIVE: The aim of this present case-control study was to determine the association between IL-10 -1082G/A (rs1800896) gene polymorphism and risk of stroke in the North Indian population. METHODS: Genotyping was carried out by using SNaPshot method (Applied Biosystems, Foster City, California, United States) for 250 ischemic stroke (IS) patients, 250 age- and sex-matched IS free controls, 100 intracerebral hemorrhage (ICH) patients, and 100 age- and sex-matched ICH free controls. IS was classified using the Trial of Org 10172 in Acute Stroke Treatment classification. Conditional logistic regression analysis with adjustment for multiple demographic and risk factor variables was used to calculate the strength of association between IL-10 (-1082G/A) polymorphism and risk of stroke. RESULTS: Conditional logistic regression analysis showed an independent association between IL-10 -1082G/A and risk of IS under a dominant model (odds ratio [OR] = 2.39, 95% confidence interval [CI] = 1.34-4.27, P = .003) and an allelic model (OR = 2.49, 95% CI 1.71-3.63, P < .001). An independent association between IL-10 -1082G/A, under the dominant model (OR = 6.8, 95% CI 2.2-20.7, P < .001) and the allelic model (OR = 3.4, 95% CI 1.8-6.3, P < .001), and the risk of ICH was also observed. CONCLUSION: Our results suggest that IL-10 -1082G/A gene polymorphism is an independent risk factor for the risk of IS and ICH in the North Indian population. Our findings indicate that IL-10 -1082G/A polymorphism may be used as a genetic marker for identifying individuals at increased risk of developing stroke.
BACKGROUND: Anti-inflammatory interleukin-10 (IL-10) cytokine and its genetic variations may play an important role in the pathogenesis of various human diseases including stroke. OBJECTIVE: The aim of this present case-control study was to determine the association between IL-10-1082G/A (rs1800896) gene polymorphism and risk of stroke in the North Indian population. METHODS: Genotyping was carried out by using SNaPshot method (Applied Biosystems, Foster City, California, United States) for 250 ischemic stroke (IS) patients, 250 age- and sex-matched IS free controls, 100 intracerebral hemorrhage (ICH) patients, and 100 age- and sex-matched ICH free controls. IS was classified using the Trial of Org 10172 in Acute Stroke Treatment classification. Conditional logistic regression analysis with adjustment for multiple demographic and risk factor variables was used to calculate the strength of association between IL-10 (-1082G/A) polymorphism and risk of stroke. RESULTS: Conditional logistic regression analysis showed an independent association between IL-10-1082G/A and risk of IS under a dominant model (odds ratio [OR] = 2.39, 95% confidence interval [CI] = 1.34-4.27, P = .003) and an allelic model (OR = 2.49, 95% CI 1.71-3.63, P < .001). An independent association between IL-10-1082G/A, under the dominant model (OR = 6.8, 95% CI 2.2-20.7, P < .001) and the allelic model (OR = 3.4, 95% CI 1.8-6.3, P < .001), and the risk of ICH was also observed. CONCLUSION: Our results suggest that IL-10-1082G/A gene polymorphism is an independent risk factor for the risk of IS and ICH in the North Indian population. Our findings indicate that IL-10-1082G/A polymorphism may be used as a genetic marker for identifying individuals at increased risk of developing stroke.
Authors: Joshua M Garcia; Stephanie A Stillings; Jenna L Leclerc; Harrison Phillips; Nancy J Edwards; Steven A Robicsek; Brian L Hoh; Spiros Blackburn; Sylvain Doré Journal: Front Neurol Date: 2017-06-12 Impact factor: 4.003