Evidence of SARS-CoV-2 convergent evolution in immunosuppressed patients treated with antiviral therapies

Shuchen Feng1, Gail E Reid2,3, Nina M Clark2,3

  • 1Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.

Virology Journal
|May 7, 2024
PubMed
Abstract

Insights

Immunocompromised patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) showed increased viral genetic diversity and mutations. These convergent mutations, potentially driven by antiviral therapy, may shape future SARS-CoV-2 evolution.

Area of Science:

  • Virology
  • Evolutionary Biology
  • Immunology

Background:

  • Factors driving accelerated convergent evolution of SARS-CoV-2 remain unclear.
  • Understanding viral replication in immunocompromised patients is crucial for detecting new mutations and limiting COVID-19.

Purpose of the Study:

  • To investigate viral genetic diversity and evolution in hospitalized and immunosuppressed patients.
  • To identify convergent mutations arising during antiviral therapy.

Main Methods:

  • Deep sequencing of SARS-CoV-2 RNA from 192 patients.
  • Comparison of viral genetic diversity across patient groups based on immunity and hospitalization status.
  • Serial sampling analysis of 14 patients to track viral evolution during antiviral treatment.

Main Results:

  • Hospitalized and immunosuppressed patients exhibited significantly higher viral genetic diversity.
  • Antiviral therapy in immunosuppressed patients led to accumulated mutations associated with antibody escape.
  • Convergent mutations observed in early Omicron variants mirrored those in later sublineages like XBB and JN.

Conclusions:

  • Convergent mutations generated during antiviral therapy in immunocompromised patients are important for predicting SARS-CoV-2's future evolutionary trajectory.
  • A correlation exists between SARS-CoV-2 convergent mutations and specific antiviral treatments.
  • Analyzing high-confidence genomes with patient metadata aids in identifying key mutations driving viral evolution.

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