用于新冠肺炎大规模筛查和监测的混合样本采集策略  被引量:5

Hybrid sample pooling strategy for large-scale COVID-19 screening and surveillance

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作  者:罗颖 陈晓辉 李维[4] 张洪 邹东升[5] 智深深 胡孝林 周俞妤 刘国祥 邹静波[6] 罗阳 LUO Ying;CHEN Xiao-hui;LI Wei;ZHANG Hong;ZOU Dong-sheng;ZHI Shen-shen;HU Xiao-lin;ZHOU Yu-yu;LIU Guo-xiang;ZOU Jing-bo;LUO Yang(Yongchuan District Peopled Hospital,Chongqing 402160,China;不详)

机构地区:[1]重庆市永川区人民医院,重庆402160 [2]重庆大学医学院 [3]重庆大学生物工程学院 [4]重庆大学附属中心医院 [5]重庆大学计算机科学学院 [6]重庆市永川区疾病预防控制中心

出  处:《中国国境卫生检疫杂志》2022年第1期34-36,共3页Chinese Journal of Frontier Health and Quarantine

基  金:国家自然科学基金项目(81871733)。

摘  要:目的 为满足新冠肺炎大规模人群筛查和监测需求,探索一种快速、准确的多样本混合检测方法。方法 在保证检测速度和灵敏度的前提下,为确保不出现漏检,先后将采集样本混合和提取RNA的混合,样本混合采用9混1,提取RNA的混合分别尝试3混1、5混1、10混1和20混1,用已知新冠病毒核酸阳性的样本和实时荧光定量RTPCR试剂盒验证几种混合模式的假阴性率。结果 采集样本采用9混1,提取RNA采用10混1,作为大样本量的联合混检策略。10混1联合混检策略能够实现传统96孔PCR板90×90共8 100份样本的筛查。结论 建立的联合混检策略在人群新冠肺炎发病率r<0.1‰(1/8100)时,仅需检测2次(1+1)即可准确筛查出阳性样本,适用于大规模筛查和监测。Objective To meet the need of large-scale population screening and surreillance COVID-19,and to explore a fast,accurate multi-sample pooled detection method. Methods In order to avoid missed detection,the hybrid sample pooling combined with samples pooling and RNA extraction pooling strategy had been explored. The samples pooling was 9 mix 1,the pooling ratio for secondary samples pooling for RNA extraction was compared,including 3 mix 1,5 mix 1,10 mix 1 and 20 mix 1. The false negative rate was evaluated by using confirmed SARS-CoV-2 positive samples and Real-time RT-PCR kit. Results The samples pooling with 9 mix 1,RNA extraction pooling with 10 mix 1 was selected as hybrid detection strategy for large-scale sample screening. The hybrid pooling strategy can detect 8100 samples with one conventional 96-well PCR plate. Conclusion When the incidence rate of COVID-19 is r<0.1‰ (1/8100),the hybrid pooling strategy constructed requires only 2(1+1) tests to perform accurate screening. It has great potential in large-scale population screening and surreillance of COVID-19.

关 键 词:新冠肺炎 新冠病毒 大规模筛查 样本混合 

分 类 号:R183.3[医药卫生—流行病学]

 

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