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Can Testing Predict SARS-CoV-2 Infectivity? The Potential for Certain Methods To Be Surrogates for
1Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Journal of Clinical Microbiology
|August 4, 2021
Summary
Current molecular tests detect remnant SARS-CoV-2 RNA, not infectious virus. This review examines existing and new assays, like real-time PCR and antigen tests, to predict active COVID-19 infection and transmission potential.
Area of Science:
- Infectious Diseases
- Molecular Diagnostics
- Virology
Background:
- Molecular methods, such as real-time PCR, are primary COVID-19 diagnostic tools.
- These tests detect SARS-CoV-2 RNA long after clinical recovery, complicating isolation guidelines.
- Current assays cannot distinguish between noninfectious remnant RNA and infectious, replication-competent virus.
Purpose of the Study:
- To review the utility of existing diagnostic assays in predicting active SARS-CoV-2 infection.
- To discuss the potential of new molecular methods for determining viral infectivity.
- To inform strategies for discontinuing isolation precautions and managing personal protective equipment use.
Main Methods:
- Review of current literature on molecular diagnostic assays for SARS-CoV-2.
- Analysis of real-time PCR and antigen test performance in predicting active infection.
- Evaluation of novel molecular assays targeting viral RNA intermediates (e.g., subgenomic RNA).
Main Results:
- Existing molecular and antigen tests have limitations in predicting active viral replication.
- Remnant viral RNA detection does not equate to infectiousness.
- Emerging assays show promise in differentiating between infectious and noninfectious viral particles.
Conclusions:
- There is a critical need for diagnostic tests that can accurately predict SARS-CoV-2 infectivity.
- New molecular strategies targeting viral RNA intermediates may offer improved prediction of transmission potential.
- Accurate prediction of infectivity can optimize patient isolation protocols and resource allocation.

