Cyclooxygenase-2 (COX-2) polymorphism rs689466 may contribute to the increased susceptibility to post-traumatic osteomyelitis in Chinese population

骨髓炎 医学 基因型 等位基因 基因分型 内科学 人口 中国人口 基因多态性 等位基因频率 胃肠病学 免疫学 遗传学 基因 生物 环境卫生
作者
Lei Wang,Nan Jiang,Qing‐rong Lin,Cheng-He Qin,Yanjun Hu,Bin Yu
出处
期刊:Infectious diseases [Informa]
卷期号:49 (11-12): 817-823 被引量:20
标识
DOI:10.1080/23744235.2017.1347816
摘要

Cyclooxygenase-2 (COX-2) enzyme is one of the major mediators during inflammation reactions, and COX-2 gene polymorphisms of rs20417 and rs689466 have been reported to be associated with several inflammatory diseases. However, potential links between the two polymorphisms and risk of developing post-traumatic osteomyelitis remain unclear. The present study aimed to investigate associations between the rs20417 and rs689466 polymorphisms and susceptibility to post-traumatic osteomyelitis in Chinese population.A total of 189 patients with definite diagnosis of post-traumatic osteomyelitis and 220 healthy controls were genotyped for rs20417 and rs689466 using the SNaPshot genotyping method. Chi-square test was used to compare differences of genotype distributions as well as outcomes of five different genetic models between the two groups.Significant association was found between rs689466 and post-traumatic osteomyelitis by recessive model (GG vs. AA + AG) (OR = 1.74, 95% CI: 1.098-2.755, p = .018). Although no statistical differences were identified of rs689466 between the two groups by allele model (p = .098) or homozygous model (p = .084), outcomes revealed a tendency that allele G may be a risk factor and people of GG genotype may be in a higher risk to develop post-traumatic osteomyelitis in Chinese population. However, no significant link was found between rs20417 and susceptibility to post-traumatic osteomyelitis in this Chinese cohort.To our knowledge, we reported for the first time that COX-2 gene polymorphism rs689466 may contribute to the increased susceptibility to post-traumatic osteomyelitis in Chinese population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
oyc完成签到,获得积分10
刚刚
刚刚
刚刚
Leexxxhaoo发布了新的文献求助10
1秒前
FFFFFFF完成签到,获得积分10
1秒前
1秒前
LIU发布了新的文献求助10
1秒前
小二郎应助医路有你采纳,获得10
1秒前
研友_VZG7GZ应助卡顿公开采纳,获得10
1秒前
可爱的函函应助一直采纳,获得20
1秒前
ufuon完成签到,获得积分10
2秒前
VDC应助MrFamous采纳,获得50
3秒前
娜行发布了新的文献求助10
3秒前
啦啦鱼完成签到 ,获得积分10
3秒前
3秒前
4秒前
习习发布了新的文献求助10
4秒前
4秒前
wanci应助drizzling采纳,获得10
4秒前
r93527005完成签到,获得积分10
4秒前
5秒前
霸气谷蕊完成签到 ,获得积分10
7秒前
羊羊羊完成签到,获得积分10
7秒前
7秒前
8秒前
科研通AI5应助WNL采纳,获得10
8秒前
Xuu完成签到,获得积分10
8秒前
外向的沅发布了新的文献求助10
8秒前
徐慕源发布了新的文献求助10
8秒前
夏哈哈完成签到 ,获得积分10
9秒前
默默海露完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
11秒前
迷路安阳发布了新的文献求助10
11秒前
11秒前
NexusExplorer应助Jolene66采纳,获得10
11秒前
医路有你完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678