摘要
目的:探讨深圳市幽门螺杆菌感染患者细胞色素P4502C19(CYP2C19)基因多态性的分布频率,提高该地区幽门螺杆菌的清除率。方法:采用多重PCR及可视化基因芯片技术对244例初诊于北京大学深圳医院的幽门螺杆菌感染患者的胃黏膜组织进行检测,测定内容为组织标本中人细胞色素P450与质子泵抑制剂代谢相关的等位基因2C19*2、2C19*3突变位点,检测结果根据药物代谢活性分为强代谢型、中代谢型和弱代谢型。结果:本研究共检测到CYP2C19强代谢型患者占39.7%(97例),中代谢型患者占57.7%(141例),弱代谢型患者占1.6%(4例),未检出的患者占0.8%(2例)。通过χ2检验发现,不同年龄及性别的患者其CYP2C19的代谢型差异无统计学意义(P>0.05)。结论:北京大学深圳医院就诊的幽门螺杆菌感染患者中CYP2C19的代谢型以强代谢型和中代谢型为主,在行幽门螺杆菌根除治疗的过程中要注意个体差异及精准化治疗。
Objective:To explore the distribution of CYP2C19 genetic polymorphisms in patients with Helicobacter Pylori(H.Pylori)in Shenzhen City,Guangdong Province to improve the H.Pylori eradication rate in the area.Methods:In this study,multiple PCR and visual gene chip techniques were used to detect the gastric mucosa of 244 patients with H.Pylori infection in Shenzhen Hospital of Peking University.The mutation sites of 2C19*2 and 2C19*3,which were related to human cytochrome P450 and proton pump inhibitor metabolism,were detected.According to the drug metabolic activity,the results were divided into strong metabolic type,middle metabolic type and weak metabolic type.Results:A total of 39.7%(97 cases)of CYP2C19 patients with strong metabolic type,57.7%(141 cases)with moderate metabolic type,1.6%(4 cases)with weak metabolic type and 0.8%(2 cases)without detection were detected in this study.There was no significant difference in the metabolic type of CYP2C19 among patients of different ages and genders(P>0.05).Conclusion:The metabolic type of CYP2C19 in patients with H.Pylori infection in Shenzhen Hospital of Peking University is mainly strong metabolic type and moderate metabolic type.Attention should be paid to individual differences and accurate treatment in the process of H.Pylori eradication.
作者
刘振宇
邹傲
邹兵
杨莉丽
郭海
刘永革
王俊萍
LIU Zhenyu;ZOU Ao;ZOU Bing;YANG Lili;GUO Hai;LIU Yongge;WANG Junping(Department of Gastroenterology,General Hospital of Shenzhen University,Shenzhen 518055,China;Department of Gastroenterology,Shenzhen Hospital of Peking University,Shenzhen 518036,China)
出处
《现代医学》
2019年第11期1344-1347,共4页
Modern Medical Journal
基金
深圳市科技创新委员会资助项目(JCYJ20150403091443320)
