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Multiple early factors anticipate post-acute COVID-19 sequelae
Yapeng Su1, Dan Yuan2, Daniel G Chen3
1Institute for Systems Biology, Seattle, WA 98109, USA; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Clinical Research Division, Program in Immunology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Four key factors predict post-acute sequelae of COVID-19 (PASC). Early detection of type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus, and auto-antibodies aids in understanding and managing PASC.
Area of Science:
- Immunology
- Virology
- Endocrinology
- Genomics
Background:
- Post-acute sequelae of COVID-19 (PASC) is a growing global health concern.
- Quantifiable risk factors and biological underpinnings of PASC remain incompletely understood.
Purpose of the Study:
- To identify quantifiable risk factors for PASC.
- To explore the biological associations and immunological signatures of PASC.
- To investigate the longitudinal changes in immune states during COVID-19 convalescence.
Main Methods:
- A deep multi-omic, longitudinal study of 309 COVID-19 patients from diagnosis to 2-3 months post-recovery.
- Integration of clinical data and patient-reported symptoms with multi-omic data.
- Analysis of immunological signatures, including SARS-CoV-2 and CMV-specific CD8+ T cells, and auto-antibodies.
Main Results:
- Four PASC-predicting risk factors identified at initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific auto-antibodies.
- Distinct dynamics of SARS-CoV-2 and CMV-specific CD8+ T cells observed in patients with gastrointestinal PASC.
- Four immunological endotypes identified, correlating with acute severity and PASC development.
- Immunological associations between PASC factors diminish over time, leading to distinct convalescent immune states.
Conclusions:
- Early identification of specific risk factors at the time of COVID-19 diagnosis is crucial for predicting and understanding PASC.
- Immunological signatures and T cell dynamics offer insights into PASC pathogenesis.
- Understanding longitudinal immune changes is key to developing effective PASC treatment strategies.
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