Evidence map›Paper›PMID 39844140›Full record

ArticleRespiratory research2025

Extracellular matrix turnover in severe COVID-19 is reduced by corticosteroids.

Janesh Pillay, Antine W Flikweert, Matijs van Meurs, Marco J Grootenboers, Simone van der Sar-van der Brugge, Peter H J van der Voort, Morten A Karsdal, Jannie M B Sand, Diana J Leeming, Janette K Burgess and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

11 authors.

Janesh PillayDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. j.pillay@umcg.nl.
Antine W FlikweertDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Matijs van MeursDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Marco J GrootenboersDepartment of Pulmonary Medicine, Amphia Hospital, Breda, The Netherlands.
Simone van der Sar-van der BruggeDepartment of Pulmonary Medicine, Amphia Hospital, Breda, The Netherlands.
Peter H J van der VoortDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Morten A KarsdalNordic Bioscience, Hepatic and Pulmonary Research, Herlev, Denmark.
Jannie M B SandNordic Bioscience, Hepatic and Pulmonary Research, Herlev, Denmark.
Diana J LeemingNordic Bioscience, Hepatic and Pulmonary Research, Herlev, Denmark.
Janette K BurgessDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jill MoserDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. j.moser@umcg.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek Aspasia 015.013.010ZonMw 09032212110044ZonMw 10430012010006
6 · The paper itself

Abstract

backgroundSevere and critical COVID-19 is characterized by pulmonary viral infection with SARS-CoV-2 resulting in local and systemic inflammation. Dexamethasone (DEX) has been shown to improve outcomes in critically ill patients; however, its effect on tissue remodeling, particularly collagen turnover, remains unclear. This study investigated the association between circulating extracellular matrix (ECM) remodeling neo-epitopes and COVID-19 severity, their relationship with mortality, and the effect of DEX on these markers.

methodsWe conducted a multi-center prospective cohort study involving 226 COVID-19 patients: 157 with severe disease admitted to the ward and 69 with critical disease admitted to the ICU. Plasma samples were collected at ICU admission and at discharge or death. Circulating collagen degradation (C3M, C4Ma3, and C6M) and synthesis (PRO-C3, PRO-C4, and PRO-C6) neo-epitopes were measured. Longitudinal analysis of ECM neo-epitope changes during ICU stay and their association with mortality was performed, along with an evaluation of the impact of DEX treatment on these markers.

resultsCritically ill patients exhibited higher levels of collagen degradation (reflecting inflammatory driven ECM destruction) (C3M, C6M) and collagen synthesis (strongly related to fibroblast activity) (PRO-C3, PRO-C6) neo-epitopes than severe patients. Increased collagen turnover, measured during ICU stay, was associated with mortality. Non-survivors displayed rising levels of collagen degradation and synthesis markers over time, whereas survivors had stable or declining levels. In non-survivors without DEX treatment, C6M and PRO-C6 levels were significantly increased, whereas these elevations were less pronounced in patients treated with DEX.

conclusionOur findings suggest that elevated collagen turnover is associated with poor outcomes in critically ill COVID-19 patients. DEX treatment appeared to attenuate ECM remodeling, although this effect was not linked to improved survival. Further studies are needed to confirm these observations and better understand the role of ECM remodeling in COVID-19 and the potential therapeutic impact of corticosteroids.

Indexed as

Adrenal Cortex HormonesCOVID-19COVID-19 Drug TreatmentDexamethasoneExtracellular MatrixAgedBiomarkersCohort StudiesCollagenCritical IllnessFemaleHumansMaleMiddle AgedProspective StudiesSeverity of Illness IndexAdrenal Cortex HormonesBiomarkersCollagenDexamethasoneARDSCorticosteroidsCOVID-19Extracellular matrixNeo-epitopes

Identifiers

PMID39844140
PMCPMC11755962

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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.