Molecular & cellular proteomics : MCPSep 28, 2026

Protein Patterns Linked to Long-Term Effects After COVID-19

Updated Sep 29, 2026

Abstract

Analysis of approximately 2900 proteins in 495 COVID-19 patients found 235 unique proteins associated with 15 of 21 evaluated Post-COVID symptoms.

Certain symptoms were more likely to co-occur in patients with similar protein profiles.
Six distinct clusters of symptoms were identified, each associated with specific molecular pathways.
Metabolic and inflammatory pathways were prominently involved in multiple symptom clusters.
Objective clinical tests, including cognitive and somatic assessments, supported the biological relevance of the identified protein profiles.
Data also indicated potential contributions of pre-existing conditions, disease risk factors, and genetic susceptibility to the variability of Post-COVID symptoms.

Simplified

The emergence of Post-COVID sequelae (PCS) represents a global challenge. However, understanding of biological mechanisms and the definition of quantifiable risk factors remains limited. This study employed machine learning-based classification to explore the potential of proteomics in identifying associations with individual Post-COVID symptoms and their collective manifestation as PCS. The analysis utilized a panel of approximately 2900 proteins measured in 495 COVID-19 patients. The study identified 235 unique proteins associated with 15 of the 21 evaluated Post-COVID symptoms. Symptoms more closely linked by similar protein profiles tended to co-occur more frequently in patients. Six symptom clusters with characteristic molecular pathway associations were identified, with metabolic and inflammatory pathways prominently involved across several clusters. The relevance of the specific protein profiles for Post-COVID symptoms further explored by objective, quantifiable clinical tests, including cognitive and somatic assessments, providing supportive evidence for their biological relevance. Data from various modalities, including pre-existing conditions, disease risk factors and genetic susceptibility, revealed relevant relations that may contribute to PCS heterogeneity. This work illustrates the complex and multifaceted nature of Post-COVID symptoms. It emphasizes the need for systematic and more specific approaches to facilitate the identification of potential pathways for future therapeutic investigation.

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Protein Patterns Linked to Long-Term Effects After COVID-19

Abstract

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