Extraction Bottleneck in the Diagnosis of SARS-CoV-2: Evaluation of an Alternative Protocol Derived from Veterinary Use.

Microorganisms

Microbiology and Virology Unit, A.O.U. "Città della Salute e della Scienza di Torino", 10126 Turin, Italy.

Published: February 2023

AI Article Synopsis

  • The COVID-19 pandemic created significant challenges for healthcare systems, particularly due to a shortage of extraction reagents for diagnosing SARS-CoV-2.
  • A comparative analysis was conducted using a new extraction protocol designed for veterinary applications, tested alongside the standard procedure on 73 nasopharyngeal swabs, yielding an excellent performance correlation (K Value = 0.955).
  • The alternative extraction method demonstrated several advantages, including reduced sample volume requirements, the ability to work without deep-well plates, and adaptability for robotic liquid handling, making it a promising solution for RNA extraction in a clinical setting.

Article Abstract

The COVID-19 pandemic represented a challenge for health-care systems, and a major bottleneck in SARS-CoV-2 diagnosis was the unavailability of extraction reagents. To overcome this limitation, we performed a comparative analysis to evaluate the performance of an alternative extraction protocol derived from veterinary use adapted to an open robotic platform (Testing method). A total of 73 nasopharyngeal swabs collected for diagnosis of SARS-CoV-2 infection were simultaneously extracted with the Testing protocol and the laboratory Standard of Care in order to assess the performance of the first one. The Cohen's coefficient between both procedures was excellent (K Value = 0.955). Analysis of cycle threshold and linear regression showed a significant correlation between the two methods for each tested genetic target. Although validated for veterinary applications, the Testing method showed excellent performances in RNA extraction, with several advantages: lower sample input volume, the possibility to overcome the lack of deep-well plates and adaptability to robotic liquid handlers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960603PMC
http://dx.doi.org/10.3390/microorganisms11020535DOI Listing

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