Long COVID and Biomarker Dysregulation-A Shift Toward Immune Exhaustion?
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View abstract on PubMed
Summary
This summary is machine-generated.Long COVID (LC) involves complex immune changes, not just inflammation. Our study found that immune suppression or exhaustion, alongside initial infection severity, better predicts LC than elevated inflammatory markers.
Area Of Science
- Immunology
- Infectious Diseases
- Biomarker Discovery
Background
- Long COVID (LC) presents persistent symptoms post-SARS-CoV-2 infection, with unclear pathophysiology.
- Cytokine dysregulation is a proposed mechanism for LC, but findings are inconsistent.
Purpose Of The Study
- To longitudinally assess cytokine profiles in COVID-19 patients and compare them to non-COVID-19 controls.
- To identify differences in cytokine profiles between LC patients and recovered individuals.
- To develop predictive models for LC using inflammatory markers and clinical cofactors.
Main Methods
- Longitudinal study of COVID-19 patients at 3 and 6 months post-infection.
- Olink® Target 96 Inflammation Panel used for cytokine assessment.
- Development of predictive models incorporating inflammatory markers, clinical data, and WHO COVID-19 severity.
Main Results
- Inflammatory biomarkers generally declined over time in post-COVID-19 patients.
- LC patients showed an early low-grade inflammation followed by reduced proinflammatory biomarkers.
- Predictive models combining cytokine signatures, disease severity, and clinical factors accurately identified LC.
Conclusions
- Inflammation-related biomarker dysregulation in SARS-CoV-2 infection evolves dynamically over six months.
- Immune suppression or exhaustion, rather than sustained inflammation, may characterize later stages of LC.
- LC prediction is improved by combining persistent biomarker alterations with initial infection severity.
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