Yu Fang1, Lu Zhang1, Gang-Qiao Zhou1, Zhi-Fu Wang1, Kai Feng1, Zhi-Yi Lou1, Wei Pang1, Lei Li1, Yan Ling1, Yu-Xia Li1, Bao-Chi Liu1. 1. Department of Emergency and Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China (Fang Y, Zhang L, Lou ZY, Pang W); State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 100850, China (Zhou GQ, Wang ZF); Laboratory Center, Chinese PLA 306 Hospital, Beijing 100101, China (Feng K); Department of Microbial Genomics, Beijing Institute of Biotechnology, Beijing 100071, China(Ling Y, Li YX); Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China (Li L, Liu BC).
Abstract
BACKGROUND: The tumor necrosis factor recepter associated factor (TRAF) 6 is an important intracellular adapter protein that plays a pivotal role in activating multiple inflammatory and immune related processes induced by cytokines. TRAF6 represents a strong candidate susceptibility factor for sepsis. We investigated whether polymorphisms at the TRAF6 gene are associated with the susceptibility to and severity of sepsis. METHODS: A hospital-based case-control study was conducted with 255 patients with sepsis and 260 controls who were recruited from Zhengzhou, China. Haplotype tagging single nucleotide polymorphisms (htSNPs) were selected from the HapMap database and genotyped using the SNPstream genotyping platform. The associations with the susceptibility and disease severity of sepsis were estimated by logistic regression, and adjusted for age, sex, smoking, drinking, chronic diseases status, APACHEII score and critical illness status. RESULTS: A total of 13 TRAF6 SNPs were tagged by 7 htSNPs. Five htSNPs (rs5030490, rs5030411, rs5030416, rs5030445 and rs3740961) were genotyped in the case control study. Genotype frequencies of the htSNPs were conformed to the Hardy-Weinberg equilibrium in both patients and controls. No significant association was found between the 5 htSNPs and the susceptibility to and severity of sepsis. Compared with the main haplotype -11120A/-10688T/-9423A/805G/12967G, no certain haplotype was associated with the significantly susceptibility to or severity of sepsis. CONCLUSION: TRAF6 gene polymorphisms might not play a major role in mediating the susceptibility to and severity of sepsis in the Chinese population. A larger population-based case-control study is warranted.
BACKGROUND: The tumor necrosis factor recepter associated factor (TRAF) 6 is an important intracellular adapter protein that plays a pivotal role in activating multiple inflammatory and immune related processes induced by cytokines. TRAF6 represents a strong candidate susceptibility factor for sepsis. We investigated whether polymorphisms at the TRAF6 gene are associated with the susceptibility to and severity of sepsis. METHODS: A hospital-based case-control study was conducted with 255 patients with sepsis and 260 controls who were recruited from Zhengzhou, China. Haplotype tagging single nucleotide polymorphisms (htSNPs) were selected from the HapMap database and genotyped using the SNPstream genotyping platform. The associations with the susceptibility and disease severity of sepsis were estimated by logistic regression, and adjusted for age, sex, smoking, drinking, chronic diseases status, APACHEII score and critical illness status. RESULTS: A total of 13 TRAF6 SNPs were tagged by 7 htSNPs. Five htSNPs (rs5030490, rs5030411, rs5030416, rs5030445 and rs3740961) were genotyped in the case control study. Genotype frequencies of the htSNPs were conformed to the Hardy-Weinberg equilibrium in both patients and controls. No significant association was found between the 5 htSNPs and the susceptibility to and severity of sepsis. Compared with the main haplotype -11120A/-10688T/-9423A/805G/12967G, no certain haplotype was associated with the significantly susceptibility to or severity of sepsis. CONCLUSION:TRAF6 gene polymorphisms might not play a major role in mediating the susceptibility to and severity of sepsis in the Chinese population. A larger population-based case-control study is warranted.
Authors: Peter A Bell; Surendra Chaturvedi; Craig A Gelfand; Ching Yu Huang; Michael Kochersperger; Rafael Kopla; Frank Modica; Mark Pohl; Shobha Varde; Renbin Zhao; Xiaojian Zhao; Michael T Boyce-Jacino; Azzam Yassen Journal: Biotechniques Date: 2002-06 Impact factor: 1.993
Authors: Mitchell M Levy; Mitchell P Fink; John C Marshall; Edward Abraham; Derek Angus; Deborah Cook; Jonathan Cohen; Steven M Opal; Jean-Louis Vincent; Graham Ramsay Journal: Crit Care Med Date: 2003-04 Impact factor: 7.598