Evidence map›Paper›PMID 41033547›Full record

ArticleChest2026

Differential Effects of Antifibrotic Treatment on Outcome Prediction via Serial Matrix Metalloproteinase-Degraded C-Reactive Protein Neoepitope Levels in Idiopathic Pulmonary Fibrosis.

Benjamin Seeliger, Jannik Ruwisch, Jannie Marie Bülow Sand, Filipa B Simões, Henrik Jessen, Eda Börner, Jan Fuge, Katherina Sewald, Tobias Welte, Pedro David Wendel-Garcia and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Chest, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

14 authors.

Benjamin SeeligerDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany.
Jannik RuwischDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany; PRACTIS Clinician Scientist Program, Dean's Office for Academic Career Development, Hannover Medical School, Germany.
Jannie Marie Bülow SandNordic Bioscience A/S, Biomarkers and Research, Herlev, Denmark.
Filipa B SimõesNordic Bioscience A/S, Biomarkers and Research, Herlev, Denmark.
Henrik JessenNordic Bioscience A/S, Biomarkers and Research, Herlev, Denmark.
Eda BörnerCenter for Interstitial and Rare Lung Diseases, Ruhrlandklinik, Pneumonology Department, University of Duisburg-Essen, Essen, Germany.
Jan FugeDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany.
Katherina SewaldFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Tobias WelteDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany.
Pedro David Wendel-GarciaDivision of Cardiothoracic Anesthesia and Intensive Care Medicine, Department of General Anesthesia, Intensive Care and Pain Medicine, Medical University Vienna, Vienna, Austria; Institute of Intensive Care Medicine, University and University Hospital Zurich, Zurich, Switzerland.
Jonas C SchuppDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany; Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, Switzerland.
Diana Julie LeemingNordic Bioscience A/S, Biomarkers and Research, Herlev, Denmark.
Francesco BonellaCenter for Interstitial and Rare Lung Diseases, Ruhrlandklinik, Pneumonology Department, University of Duisburg-Essen, Essen, Germany.
Antje PrasseDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), Hannover Medical School (MHH), German Center for Lung Research (DZL), Hanover, Germany; Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany; Department of Pneumology, University Hospital Basel, Switzerland. Electronic address: prasse.antje@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is characterized by an increase in proteolytic enzymes, including matrix metalloproteinases that degrade the extracellular matrix and markers of localized inflammation. Protein fragments (neoepitopes) are detectable in the circulation. RESEARCH QUESTION: Can short-term trajectories of neoepitopes after initiation of antifibrotic treatment predict therapy-related outcomes, including mortality, in patients with IPF? STUDY DESIGN AND

methodsTwo hundred three treatment-naive patients with IPF from 2 German tertiary centers were prospectively recruited. At baseline and within 6 months of nintedanib or pirfenidone treatment, serum concentrations of matrix metalloproteinase-degraded C-reactive protein neoepitope (CRPM), collagen III, and collagen 6 fragments, as well as procollagen 6, were measured. Association of neoepitopes and their longitudinal kinetics (positive/increasing or negative/declining slope) with mortality and progression- and transplant-free survival (PTFS) was analyzed. Modes of action of anti-fibrotic therapy on neoepitope kinetics were further investigated by cell culture experiments.

resultsPatient mean age was 71 years, and 20.7% were female. After baseline measurements, 50% received nintedanib, 35% received pirfenidone, and 15% received no antifibrotic treatment. Patients with a positive CRPM slope, treated with nintedanib, showed increased 5-year mortality (adjusted hazard ratio, 2.27; P = .020). In contrast, PTFS was significantly reduced with positive slopes of all tested neoepitopes. The association between positive CRPM slopes and impaired PTFS was confirmed by means of propensity score matching. In both cohorts, effects on PTFS were driven by the nintedanib-treated subcohort. Intercohort validation of the association between CRPM slopes and PTFS was evident. In cell-culture experiments, nintedanib exclusively modulated CRPM kinetics in human umbilical vein-derived endothelial cells, but not IPF-derived fibroblasts. This suggests that the observed nintedanib/CRPM related effect is partly mediated by endothelial cells.

interpretationOur results show that positive/increasing CRPM serum levels (slopes) were associated with worse 5-year survival in patients with IPF treated with nintedanib, but not pirfenidone. Nintedanib, but not pirfenidone, reduced endothelial CRPM formation in vitro. GERMAN CLINICAL TRIALS REGISTRATION: Nos.: DRKS00000017 and DRKS00000620; URL: https://drks.de/search/en/trial/.

Indexed as

Antifibrotic AgentsC-Reactive ProteinEpitopesIdiopathic Pulmonary FibrosisIndolesMatrix MetalloproteinasesPyridonesAgedBiomarkersFemaleGermanyHumansMaleMiddle AgedProspective StudiesAntifibrotic AgentsBiomarkersC-Reactive ProteinEpitopesIndolesMatrix MetalloproteinasesnintedanibpirfenidonePyridonesantifibroticbiomarkercollagenidiopathic pulmonary fibrosisneoepitopesprogressive pulmonary fibrosis

Identifiers

PMID41033547
PMCPMC13084734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.