Polymorphisms of IGFI contribute to the development of ischemic stroke

Kim,Hak Jae; Kim,Su Kang; Park,Hae Jeong; Chung,Joo-Ho; Chun,Jinman; Yun,Dong Hwan; Kim,Young Ock

doi:10.3892/etm.2011.372

January 2012 Volume 3 Issue 1

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January 2012 Volume 3 Issue 1

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Article

Polymorphisms of IGFI contribute to the development of ischemic stroke

Authors:
- Hak Jae Kim
- Su Kang Kim
- Hae Jeong Park
- Joo-Ho Chung
- Jinman Chun
- Dong Hwan Yun
- Young Ock Kim
View Affiliations / Copyright

Affiliations: Soonchunhyang Medical Research Institute, College of Medicine, Soonchunhyang University, Chunan, Republic of Korea, Department of Pharmacology and Kohwang Medical Research Institute, School of Medicine, Kyung Hee University, Seoul, Republic of Korea, Department of Physical Medicine and Rehabilitation, School of Medicine, Kyung Hee University, Seoul, Republic of Korea, Ginseng and Medical Plants Research Institute Rural Development Administration, Chunbuk 369-873, Republic of Korea
Pages: 93-98
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Published online on: October 21, 2011

https://doi.org/10.3892/etm.2011.372
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Abstract

Insulin-like growth factor 1 (IFG1) is neuroprotective in animal models of focal brain ischemia and correlates with ischemic stroke (IS) outcome in the elderly. In this study, we investigated whether single nucleotide polymorphisms (SNPs) of the IFG1 gene are associated with the development and clinical features of IS in a Korean population. A total of 119 patients with IS and 289 control subjects were recruited. Stroke patients were classified into subgroups according to the scores of the National Institutes of Health Stroke Survey (NIHSS; <6 and ≥6) and the Modified Barthel Index (MBI; <60 and ≥60). Among the SNPs of the IFG1 gene, five SNPs were selected and analyzed by direct sequencing: rs2162679 (intron), rs2195239 (intron), rs978458 (intron), rs1520220 (intron) and rs6214 (3' untranslated region; 3'UTR). Multiple logistic regression models were conducted to analyze genetic data. SNPStats, SNPAnalyzer Pro and Helixtree programs were used to calculate odds ratios (ORs), 95% confidence intervals (CIs) and p-values. Two SNPs, rs2162679 and rs6214, were associated with the development of IS. After Bonferroni correction (pc), the A and G alleles of rs2162679 and rs6214 had significant differences between patients with IS and the controls [rs2162679, OR (95% CI) = 1.64 (1.17-2.31), p=0.004, pc=0.02; rs6214, OR (95% CI) = 1.52 (1.12-2.07), p=0.007, pc=0.035], respectively. However, the five selected SNPs were not related to the NIHSS and MBI scores. These results suggest that IGF1 may be associated with the development of IS.

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Journals

International Journal of Molecular Medicine

International Journal of Oncology

Molecular Medicine Reports

Oncology Reports

Experimental and Therapeutic Medicine

Oncology Letters

Biomedical Reports

Molecular and Clinical Oncology

World Academy of Sciences Journal

International Journal of Functional Nutrition

International Journal of Epigenetics

Medicine International

Polymorphisms of IGFI contribute to the development of ischemic stroke

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Abstract

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