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Mapping Interactions Between Cytokines, Chemokines, Growth Factors, and Conventional Biomarkers in COVID-19
Mats B Eriksson1,2, Michael Marks-Hultström1,3, Mikael Åberg4
1Section of Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden.
Insights
This study reveals that standard inflammation markers in severe COVID-19 (coronavirus disease 2019) reflect complex interactions with cytokines, chemokines, and growth factors. Understanding these associations aids in risk stratification for critically ill patients.
Area of Science:
- Immunology
- Critical Care Medicine
- Biochemistry
Background:
- Severe COVID-19 (coronavirus disease 2019) involves systemic hyperinflammation and elevated conventional biomarkers like C-reactive protein (CRP), ferritin, and procalcitonin (PCT).
- The intricate relationship between cytokines, chemokines, growth factors (CCGFs), and these standard biomarkers in COVID-19 is not fully understood.
Purpose of the Study:
- To comprehensively evaluate the associations between a wide array of CCGFs and conventional biomarkers in critically ill COVID-19 patients.
- To enhance the understanding of COVID-19 immunopathology and inform biomarker-guided risk stratification.
Main Methods:
- Analysis of plasma concentrations of 92 CCGFs using the Olink Target 96 Cardiovascular II panel in 114 critically ill COVID-19 patients.
- Evaluation of associations between CCGFs, conventional biomarkers (CRP, ferritin, PCT), and peripheral blood cell counts using Spearman rank correlations with Benjamini-Hochberg correction.
Main Results:
- C-reactive protein (CRP) was confirmed as a reliable indicator of cytokine-driven inflammation.
- Ferritin showed strong associations with macrophage-related markers (e.g., IL-18, sCD163-related factors).
- Procalcitonin (PCT) correlated with numerous CCGFs (e.g., ADM, PGF, TRAILR2, IL-6), and blood cell subsets exhibited distinct CCGF associations.
Conclusions:
- Conventional inflammation biomarkers in COVID-19 reflect complex and specific interactions with CCGFs.
- Mapping these CCGF-biomarker associations provides deeper insights into COVID-19 immunopathology.
- These findings support the potential for biomarker-guided risk stratification in critical illness management.
Abstract:
Severe coronavirus disease 2019 (COVID-19) is characterized by systemic hyperinflammation with cytokine and chemokine release, alongside elevations in conventional laboratory biomarkers such as C-reactive protein (CRP), ferritin, and procalcitonin (PCT). However, the interplay between cytokines, chemokines, growth factors (CCGFs), and standard biomarkers remains incompletely understood. Therefore, we aimed to evaluate associations between CCGFs and conventional biomarkers from a broad aspect, utilizing the prospective PronMed cohort of critically ill COVID-19 patients admitted to the intensive care unit (ICU) at Uppsala University Hospital. Plasma concentrations of 92 CCGFs were analyzed in each patient using the Olink Target 96 Cardiovascular II panel and analyzed in relation to conventional biomarkers and peripheral blood cell counts. Associations were evaluated using Spearman rank correlations with Benjamini-Hochberg correction for multiple testing. A total of 114 patients (median age 61 years (IQR: 19), 75% male, median SAPS-3 52 (IQR: 10) were included. Significant correlations confirmed CRP as a robust surrogate of cytokine-driven inflammation. Ferritin was strongly associated with macrophage-related markers, including IL-18, sCD163-related factors, and PARP1. PCT correlated with a wide range of CCGFs, including ADM, PGF, TRAILR2, and IL-6. Blood cell subsets also showed distinct associations with CCGFs, suggesting functional connections between cytokine signaling and hematological disturbances. Our findings demonstrate that conventional biomarkers of inflammation in COVID-19 reflect complex and distinct interaction patterns with cytokines, chemokines, and growth factors. Mapping these associations improves understanding of COVID-19 immunopathology and may inform biomarker-guided risk stratification in critical illness.
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