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作 者:刘聪[1] 王宇美 李哲轩 张联[1] 马峻岭[1] 周彤[1] 游伟程[1] 潘凯枫[1]
机构地区:[1]北京大学肿瘤医院暨北京市肿瘤防治研究所流行病学研究室恶性肿瘤发病机制及转化研究教育部重点实验室,100142
出 处:《中华肿瘤杂志》2013年第7期547-551,共5页Chinese Journal of Oncology
基 金:国家自然科学基金(81171989);科技部国际合作重大专项(2010DFB30310);高等学校博士学科点专项科研基金(20090001110103)
摘 要:目的检测幽门螺杆菌(坳)特异性抗体CagA、VaeA、GroEL、UreA、HepC和GGT在胃癌高发区人群中的分布,初步探讨其与胃黏膜病变的关系。方法以1994--2003年、2002--2006年在山东省临朐县胃癌高发现场开展的2项干预队列研究为基础,选取623例经13C-尿素呼气试验(13C—UBT)和(或)酶联免疫吸附试验(ELISA)检测为脚感染阳性者为研究对象,采用基于基因重组的新型免疫印迹法reeomLine方法对却的6种特异性抗体cagA、VacA、GroEL、UreA、HepC和GGT进行血清学检测。结果在623例研究对象中,跏感染阳性者594例,其中cagA、VacA、GroEL、UreA、HcpC、GGT抗体阳性率分别为84.0%、38.2%、66.7%、17.7%、58.8%和42.8%;检出肺I型感染者523例(88.1%)。慢性萎缩性胃炎(CAG)组感染却I型患者所占的比例(89.7%)高于浅表性胃炎(SG)组(77.8%,P=0.001)。结论脚不同毒力致病因子可能与胃黏膜病变程度相关。采用recomLine方法检测血清中的印特异性抗体,对于区分不同印菌株感染可能具有重要意义。Objective To determine the distributions of six Helicobacter pylori (Hp)-specific antibodies in a high-risk population of gastric cancer ( GC ) and explore the relationship between lip virulence factors and precancerous gastric lesions. Methods Based on the two intervention trials conducted in Linqu County, the seropositivities for CagA, VacA, GroEL, UreA, HcpC and GGT were assessed by recombinant immunoassay (recomLine) in 623 participants with H. pylori infection determined by 13C-urea breath test (13 C-UBT) and/or enzyme linked immunosorbent assay (ELISA). Results In a total of 623 participants were detected by recomLine analysis, of which 594 were Hp-positive. The seropositivities rates of CagA, VacA, GroEL, UreA, HepC and GGTwere 84.0%, 38.2%, 66.7%, 17.7%, 58.8% and 42.8%, respectively. A total of 523 participants were determined as type I infection of Hp, accounting for 88.1%. Compared with superficial gastritis (SG) , the infection rate of lip type I was higher in the chronic atrophic gastritis (CAG) ( P = 0. 001 ). Conclusions The results of this population-based study suggest that the virulence factors of Hp may be related to the development of GC in a Chinese high-risk population. The recomLine analysis may serve as a tool for identification of Hp strains and prediction of high-risk population of GC.
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