Honglei Jiang1, Xiangju Liu2, Dong Wang3, Fang Guo1, Jidong Liu1, Xiaotang Liang1, Zhaoqin Xing1, Chunlin Cao1. 1. Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong, China. 2. Department of Geriatrics, Qilu Hospital of Shandong University Jinan 250012, Shandong, China. 3. Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, Shandong, China.
Abstract
OBJECTIVE: This study was to analyze the acylation-stimulating protein (ASP) (301T>C) and C5a-like receptor 2 (C5L2) (698C>T) gene polymorphisms in Han and Hui populations, and investigate their association with coronary heart disease (CHD). METHODS: 245 Han CHD patients and 110 Hui CHD patients from Shandong, Jinan, China were included in this study. Biochemical analysis was performed to assess the blood sugar and lipid levels in these patients, and the TaqMan genotyping assay was used to determine the genotype distribution. RESULTS: Our results showed that the C allele frequency in the ASP (301T>C) polymorphism in the Hui population was significantly higher than normal controls, while no significant differences were observed in the Han population, which might contribute to the genetic susceptibility of CHD in the Hui population. Moreover, for C5L2 (698C>T) gene polymorphism in both Han and Hui populations, the frequencies of the C/T genotype and T allele were significantly higher in the CHD patients compared with normal controls. Moreover, there were slight differences in the association of ASP and C5L2 gene polymorphisms with blood sugar and lipid levels between Han and Hui populations. CONCLUSIONS: Our results suggest differential ASP and C5L2 genotype distributions between Han and Hui patients, which might be associated with the different CHD-related genetic susceptibilities in these populations. These findings might contribute to a better understanding of the etiology and pathogenesis of CHD in different regions and populations.
OBJECTIVE: This study was to analyze the acylation-stimulating protein (ASP) (301T>C) and C5a-like receptor 2 (C5L2) (698C>T) gene polymorphisms in Han and Hui populations, and investigate their association with coronary heart disease (CHD). METHODS: 245 Han CHD patients and 110 Hui CHD patients from Shandong, Jinan, China were included in this study. Biochemical analysis was performed to assess the blood sugar and lipid levels in these patients, and the TaqMan genotyping assay was used to determine the genotype distribution. RESULTS: Our results showed that the C allele frequency in the ASP (301T>C) polymorphism in the Hui population was significantly higher than normal controls, while no significant differences were observed in the Han population, which might contribute to the genetic susceptibility of CHD in the Hui population. Moreover, for C5L2 (698C>T) gene polymorphism in both Han and Hui populations, the frequencies of the C/T genotype and T allele were significantly higher in the CHD patients compared with normal controls. Moreover, there were slight differences in the association of ASP and C5L2 gene polymorphisms with blood sugar and lipid levels between Han and Hui populations. CONCLUSIONS: Our results suggest differential ASP and C5L2 genotype distributions between Han and Hui patients, which might be associated with the different CHD-related genetic susceptibilities in these populations. These findings might contribute to a better understanding of the etiology and pathogenesis of CHD in different regions and populations.
Authors: Michel Marcil; Hai Vu; Wei Cui; Zari Dastani; James C Engert; Daniel Gaudet; Manuel Castro-Cabezas; Allan D Sniderman; Jacques Genest; Katherine Cianflone Journal: Arterioscler Thromb Vasc Biol Date: 2006-04-20 Impact factor: 8.311
Authors: Roderick F A de Lind van Wijngaarden; Katherine Cianflone; Y Gao; Ralph W J Leunissen; Anita C S Hokken-Koelega Journal: J Clin Endocrinol Metab Date: 2010-02-19 Impact factor: 5.958
Authors: Juliana C N Chan; Vasanti Malik; Weiping Jia; Takashi Kadowaki; Chittaranjan S Yajnik; Kun-Ho Yoon; Frank B Hu Journal: JAMA Date: 2009-05-27 Impact factor: 56.272
Authors: David Kalant; Stuart A Cain; Magdalena Maslowska; Allan D Sniderman; Katherine Cianflone; Peter N Monk Journal: J Biol Chem Date: 2003-01-22 Impact factor: 5.157