Skip to main content
Top

Clinical experience of treatment of immunocompromised individuals with persistent SARS-CoV-2 infection based on drug resistance mutations determined by genomic analysis: a descriptive study

Published in:

Abstract

Background

The efficacy of antiviral drugs that neutralize antibody drugs and fight against SARS-COV-2 is reported to be attenuated by genetic mutations of the virus in vitro. When B-cell immunocompromised patients are infected with SARS-COV-2, the infection can be prolonged, and genetic mutations can occur during the course of treatment. Therefore, for refractory patients with persistent COVID-19 infection, genomic analysis was performed to obtain data on drug resistance mutations as a reference to determine which antiviral drugs and antibody therapies might be effective in their treatment.

Methods

This was a descriptive analysis with no controls. Patients were diagnosed as having COVID-19, examined, and treated in the Kansai Medical University General Medical Center between January 2022 and January 2023. The subjects of the study were B-cell immunocompromised patients in whom genome analysis of SARS-CoV-2 was performed.

Results

During the study period, 984 patients with COVID-19 were treated at our hospital. Of those, 17 refractory cases underwent genomic analysis. All 17 patients had factors related to immunodeficiency, such as malignant lymphoma or post-organ transplantation. Eleven patients started initial treatment for COVID-19 at our hospital, developed persistent infection, and underwent genomic analysis. Six patients who were initially treated for COVID-19 at other hospitals became persistently infected and were transferred to our hospital. Before COVID-19 treatment, genomic analysis showed no intrahost mutations in the NSP5, the NSP12, and the RBD regions. After COVID-19 treatment, mutations in these regions were found in 12 of 17 cases (71%). Sixteen patients survived the quarantine, but one died of sepsis.

Conclusions

In genomic analysis, more mutations were found to be drug-resistant after COVID-19 treatment than before COVID-19 treatment. Although it was not possible to demonstrate the usefulness of genome analysis for clinical application, the change of the treatment drug with reference to drug resistance indicated by genomic analysis may lead to good outcome of immunocompromised COVID-19 patients.
Title
Clinical experience of treatment of immunocompromised individuals with persistent SARS-CoV-2 infection based on drug resistance mutations determined by genomic analysis: a descriptive study
Authors
Haruka Shimazu
Daiki Wada
Shuhei Maruyama
Akira Inoue
Masami Kashihara
Tomoyuki Yoshihara
Fukuki Saito
Kazuhisa Yoshiya
Yasushi Nakamori
Yasuyuki Kuwagata
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2023
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-023-08797-6
This content is only visible if you are logged in and have the appropriate permissions.
This content is only visible if you are logged in and have the appropriate permissions.

Keynote webinar | Spotlight on progress in colorectal cancer

  • Live
  • Webinar | 11-12-2025 | 18:00 (CET)

CRC remains a major global health burden, but advances in screening, treatment, and lifestyle-based prevention continue to reshape clinical practice. Gain insights into how the latest research can be leveraged to optimize patient care across the CRC continuum.

Watch it live: Thursday 11 December 2025, 18:00-19:30 (CET)

Prof. Antoni Castells
Prof. Edward Giovannucci
Prof. Harpreet Wasan
Join the webinar
Webinar

Keynote webinar | Spotlight on functional neurological disorder

FND perplexes and frustrates patients and physicians alike. Limited knowledge and insufficient awareness delays diagnosis and treatment, and many patients feel misunderstood and stigmatized. How can you recognize FND and what are the treatment options?

Prof. Mark Edwards
Watch now
Video
Image Credits
Colon cancer illustration/© (M) KATERYNA KON / SCIENCE PHOTO LIBRARY / Getty Images, Human brain illustration/© (M) CHRISTOPH BURGSTEDT / SCIENCE PHOTO LIBRARY / Getty Images