Evidence map›Paper›PMID 41373577›Full record

ArticleInternational journal of molecular sciences2025

Mapping Interactions Between Cytokines, Chemokines, Growth Factors, and Conventional Biomarkers in COVID-19 ICU-Patients.

Mats B Eriksson, Michael Marks-Hultström, Mikael Åberg, Miklós Lipcsey, Robert Frithiof, Anders O Larsson

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mats B ErikssonSection of Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0002-3178-4210
Michael Marks-HultströmSection of Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0003-4675-1099
Mikael ÅbergSection of Clinical Chemistry and SciLifeLab Affinity Proteomics, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0002-7858-8233
Miklós LipcseySection of Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0002-1976-4129
Robert FrithiofSection of Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0003-2278-7951
Anders O LarssonSection of Clinical Chemistry, Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden.ORCID 0000-0003-3161-0402

Funding

SclLIfeLab/Knut and Alice Wallenberg National COVID-19 research program KAW 2020.0182SclLIfeLab/Knut and Alice Wallenberg National COVID-19 research program KAW 2020.0241Swedish Research Council 2024-02269Swedish Research Council 2024-07606Swedish Society of Medicine SLS-938101Swedish state under the ALF agreement between the Swedish Government and the County Council N/AThe Swedish Heart-Lung Foundation 20190637The Swedish Heart-Lung Foundation 20190639The Swedish Heart-Lung Foundation 20210089The Swedish Heart-Lung Foundation 20230627The Swedish Heart-Lung Foundation 20230732
6 · The paper itself

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.

Indexed as

ChemokinesCOVID-19CytokinesIntercellular Signaling Peptides and ProteinsAgedBiomarkersC-Reactive ProteinCritical IllnessFemaleFerritinsHumansIntensive Care UnitsMaleMiddle AgedProcalcitoninProspective StudiesBiomarkersChemokinesC-Reactive ProteinCytokinesFerritinsIntercellular Signaling Peptides and ProteinsProcalcitoninbiomarkerCOVID-19critical illnessCRPcytokineferritininflammationnucleated blood cellsprocalcitonin

Identifiers

PMID41373577
PMCPMC12692695

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.