Boosting SARS-CoV-2 detection combining pooling and multiplex strategies

Author:

Correa Isadora Alonso,de Souza Rodrigues Tamires,Queiroz Alex,de França Nascimento Leon,Wolff Thiago,Akamine Rubens Nobumoto,Kuriyama Sergio Noboru,da Costa Luciana Jesus,Fidalgo-Neto Antonio Augusto

Abstract

AbstractRT-qPCR is the gold standard technique available for SARS-CoV-2 detection. However, the long test run time and costs associated with this type of molecular testing are a challenge in a pandemic scenario. Due to high testing demand, especially for monitoring highly vaccinated populations facing the emergence of new SARS-CoV-2 variants, strategies that allow the increase in testing capacity and cost savings are needed. We evaluated a RT-qPCR pooling strategy either as a simplex and multiplex assay, as well as performed in-silico statistical modeling analysis validated with specimen samples obtained from a mass testing program of Industry Federation of the State of Rio de Janeiro (Brazil). Although the sensitivity reduction in samples pooled with 32 individuals in a simplex assay was observed, the high-test sensitivity was maintained even when 16 and 8 samples were pooled. This data was validated with the results obtained in our mass testing program with a cost saving of 51.5% already considering the expenditures with pool sampling that were analyzed individually. We also demonstrated that the pooling approach using 4 or 8 samples tested with a triplex combination in RT-qPCR is feasible to be applied without sensitivity loss, mainly combining Nucleocapsid (N) and Envelope (E) gene targets. Our data shows that the combination of pooling in a RT-qPCR multiplex assay could strongly contribute to mass testing programs with high-cost savings and low-reagent consumption while maintaining test sensitivity. In addition, the test capacity is predicted to be considerably increased which is fundamental for the control of the virus spread in the actual pandemic scenario.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Carlos Chagas Filho Foundation for Research Support of Rio de Janeiro State (FAPERJ), Brazil.

CENPES/Petrobras’ Scientific Structure of Response to the COVID 19 pandemic sponsored by CENPES/PETROBRAS.

Industry Federation of Rio de Janeiro FIRJAN

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference35 articles.

1. Zhou, P. et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579(7798), 270–273. https://doi.org/10.1038/s41586-020-2012-7 (2020) (Epub 2020 Feb 3).

2. World Health Organization. Coronavirus Disease (COVID-19) Dashboard. (2021). https://covid19.who.int/. Accessed 30 November 2021.

3. H. Ritchie, E. Mathieu, L. Rodés-Guirao, C. Appel, C. Giattino, E. Ortiz-Ospina, J. Hasell, B. Macdonald, D. Beltekian & M. Roser (2020) "Coronavirus Pandemic (COVID-19)". Published online at OurWorldInData.org. https://ourworldindata.org/coronavirus. [Online Resource]. Accessed 30 November 2021.

4. World Health Organization. Considerations in adjusting public health and social measures in the context of COVID-19. (2021). WHO/2019-nCoV/Adjusting_PH_measures/2021.1.

5. Salathé, M. et al. COVID-19 epidemic in Switzerland: On the importance of testing, contact tracing and isolation. Swiss Med Wkly. 19(150), w20225. https://doi.org/10.4414/smw.2020.20225 (2020).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3