Evidence map›Paper›PMID 40200385›Full record

Observational studyJournal of translational medicine2025

Immunomarker profiling in human chronic wound swabs reveals IL-1 beta/IL-1RA and CXCL8/CXCL10 ratios as potential biomarkers for wound healing, infection status and regenerative stage.

Julian-Dario Rembe, Waseem Garabet, Matthias Augustin, Joachim Dissemond, Wiebke Ibing, Hubert Schelzig, Ewa K Stuermer

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Julian-Dario RembeDepartment for Vascular and Endovascular Surgery, University Hospital Duesseldorf (UKD), Heinrich Heine University Duesseldorf, Moorenstrasse 5, 40225, Duesseldorf, Germany. julian-dario.rembe@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-5176-6941
Waseem GarabetDepartment for Vascular and Endovascular Surgery, University Hospital Duesseldorf (UKD), Heinrich Heine University Duesseldorf, Moorenstrasse 5, 40225, Duesseldorf, Germany.
Matthias AugustinInstitute for Health Services Research in Dermatology and Nursing Professions (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Joachim DissemondDepartment of Dermatology, Venereology and Allergology, Essen University Hospital, Essen, Germany.
Wiebke IbingDepartment for Vascular and Endovascular Surgery, University Hospital Duesseldorf (UKD), Heinrich Heine University Duesseldorf, Moorenstrasse 5, 40225, Duesseldorf, Germany.
Hubert SchelzigDepartment for Vascular and Endovascular Surgery, University Hospital Duesseldorf (UKD), Heinrich Heine University Duesseldorf, Moorenstrasse 5, 40225, Duesseldorf, Germany.
Ewa K StuermerClinic and Polyclinic for Vascular Medicine, University Heart and Vascular Center, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Funding

Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf 2021-28Universität Witten/Herdecke IFF 2020-21
6 · The paper itself

Abstract

backgroundChronic wounds, such as diabetic foot ulcers, venous leg ulcers, and post-surgical wound healing disorders pose a significant challenge due to prolonged healing, risk of infection, and impaired quality of life. Persistent inflammation and impaired tissue remodeling are common in these wounds. Traditional diagnostic methods, including visual inspection and microbiological cultures, offer limited insight into the wound micro-environment. Immunomarker profiling could provide a deeper understanding of the molecular mechanisms underpinning wound healing, offering potential biomarkers for infection status and healing progression.

methodsThis observational, multi-center cohort study, part of the 'Wound-BIOME' project, analyzed 110 swab samples from patients with acute and chronic wounds using multiplex immunoassays. Clinical parameters such as wound type, healing status, regeneration stage, and microbial burden were recorded. Total protein concentration was assessed, and 35 key immunomarkers, including cytokines (e.g. IL- 1α, IL- 1β), chemokines (CCL2, CXCL8, CXCL10), growth factors (FGF- 2, VEGF) and matrix metalloproteinases (MMP- 7, MMP- 9, MMP- 13), were quantified. Statistical analyses were performed to correlate immunomarker levels with clinical outcomes.

resultsPro-inflammatory markers, such as IL- 1β, IL- 18 and chemokines like CCL2 and CXCL8, were significantly elevated in non-healing and infected wounds compared to healing wounds. The study identified two new immunomarker ratios - IL- 1β/IL- 1RA and CXCL8/CXCL10 - as potential predictors of wound healing status. The IL- 1β/IL- 1RA ratio showed the highest accuracy for distinguishing healing from non-healing wounds (AUC = 0.6837), while the CXCL8/CXCL10 ratio was most effective in identifying infection (AUC = 0.7669).

conclusionsImmunomarker profiling via wound swabbing offers valuable insights into the wound healing process. Elevated levels of pro-inflammatory cytokines and MMPs are associated with chronic inflammation and impaired healing. The IL- 1β/IL- 1RA and CXCL8/CXCL10 ratios emerge as promising biomarkers to distinguish between infection and inflammation, with potential in targeted wound care. Further studies are needed to validate these findings and implement them in clinical practice.

Indexed as

BiomarkersChemokine CXCL10Interleukin-1betaInterleukin-8RegenerationWound HealingWound InfectionAdultAgedChronic DiseaseFemaleHumansMaleMiddle AgedBiomarkersChemokine CXCL10CXCL10 protein, humanCXCL8 protein, humanInterleukin-1betaInterleukin-8ImmunoassayImmunomarkerTissue regenerationWound healingWound infectionWound micro-environmentWound swabbing

Identifiers

PMID40200385
PMCPMC11978031

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.