BACKGROUND: The recent emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to a current pandemic of unprecedented scale. Although diagnostic tests are fundamental to the ability to detect and respond, overwhelmed healthcare systems are already experiencing shortages of reagents associated with this test, calling for a lean immediately applicable protocol. METHODS: RNA extracts of positive samples were tested for the presence of SARS-CoV-2 using reverse transcription quantitative polymerase chain reaction, alone or in pools of different sizes (2-, 4-, 8-, 16-, 32-, and 64-sample pools) with negative samples. Transport media of additional 3 positive samples were also tested when mixed with transport media of negative samples in pools of 8. RESULTS: A single positive sample can be detected in pools of up to 32 samples, using the standard kits and protocols, with an estimated false negative rate of 10%. Detection of positive samples diluted in even up to 64 samples may also be attainable, although this may require additional amplification cycles. Single positive samples can be detected when pooling either after or prior to RNA extraction. CONCLUSIONS: As it uses the standard protocols, reagents, and equipment, this pooling method can be applied immediately in current clinical testing laboratories. We hope that such implementation of a pool test for coronavirus disease 2019 would allow expanding current screening capacities, thereby enabling the expansion of detection in the community, as well as in close organic groups, such as hospital departments, army units, or factory shifts.
BACKGROUND: The recent emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to a current pandemic of unprecedented scale. Although diagnostic tests are fundamental to the ability to detect and respond, overwhelmed healthcare systems are already experiencing shortages of reagents associated with this test, calling for a lean immediately applicable protocol. METHODS: RNA extracts of positive samples were tested for the presence of SARS-CoV-2 using reverse transcription quantitative polymerase chain reaction, alone or in pools of different sizes (2-, 4-, 8-, 16-, 32-, and 64-sample pools) with negative samples. Transport media of additional 3 positive samples were also tested when mixed with transport media of negative samples in pools of 8. RESULTS: A single positive sample can be detected in pools of up to 32 samples, using the standard kits and protocols, with an estimated false negative rate of 10%. Detection of positive samples diluted in even up to 64 samples may also be attainable, although this may require additional amplification cycles. Single positive samples can be detected when pooling either after or prior to RNA extraction. CONCLUSIONS: As it uses the standard protocols, reagents, and equipment, this pooling method can be applied immediately in current clinical testing laboratories. We hope that such implementation of a pool test for coronavirus disease 2019 would allow expanding current screening capacities, thereby enabling the expansion of detection in the community, as well as in close organic groups, such as hospital departments, army units, or factory shifts.
Authors: Madikay Senghore; Merveille K Savi; Bénédicte Gnangnon; William P Hanage; Iruka N Okeke Journal: Lancet Glob Health Date: 2020-05-14 Impact factor: 26.763
Authors: André Voigt; Nikolay Martyushenko; Emil Karlsen; Martina Hall; Kristen Nyhamar; Stig William Omholt; Eivind Almaas Journal: BMC Infect Dis Date: 2021-06-09 Impact factor: 3.090
Authors: Kenny Voon; Nur Alia Johari; Khai Lone Lim; Siew Tung Wong; Loke Tim Khaw; Shew Fung Wong; Elaine W L Chan; Kok Keong Chan; Boon Keat Tan; Nurul Hanis Ramzi; Patricia K C Lim; Lokman H Sulaiman Journal: Bio Protoc Date: 2021-05-05
Authors: Catherine P Adans-Dester; Stacy Bamberg; Francesco P Bertacchi; Brian Caulfield; Kara Chappie; Danilo Demarchi; M Kelley Erb; Juan Estrada; Eric E Fabara; Michael Freni; Karl E Friedl; Roozbeh Ghaffari; Geoffrey Gill; Mark S Greenberg; Reed W Hoyt; Emil Jovanov; Christoph M Kanzler; Dina Katabi; Meredith Kernan; Colleen Kigin; Sunghoon I Lee; Steffen Leonhardt; Nigel H Lovell; Jose Mantilla; Thomas H McCoy; Nell Meosky Luo; Glenn A Miller; John Moore; Derek O'Keeffe; Jeffrey Palmer; Federico Parisi; Shyamal Patel; Jack Po; Benito L Pugliese; Thomas Quatieri; Tauhidur Rahman; Nathan Ramasarma; John A Rogers; Guillermo U Ruiz-Esparza; Stefano Sapienza; Gregory Schiurring; Lee Schwamm; Hadi Shafiee; Sara Kelly Silacci; Nathaniel M Sims; Tanya Talkar; William J Tharion; James A Toombs; Christopher Uschnig; Gloria P Vergara-Diaz; Paul Wacnik; May D Wang; James Welch; Lina Williamson; Ross Zafonte; Adrian Zai; Yuan-Ting Zhang; Guillermo J Tearney; Rushdy Ahmad; David R Walt; Paolo Bonato Journal: IEEE Open J Eng Med Biol Date: 2020-08-07