Evidence map›Paper›PMID 39012714›Full record

ArticleJCI insight2024

Radioproteomics stratifies molecular response to antifibrotic treatment in pulmonary fibrosis.

David Lauer, Cheryl Y Magnin, Luca R Kolly, Huijuan Wang, Matthias Brunner, Mamta Chabria, Grazia M Cereghetti, Hubert S Gabryś, Stephanie Tanadini-Lang, Anne-Christine Uldry and 9 more

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Multi-omics to study chronic respiratory diseases and viral infections.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. 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

19 authors.

David LauerDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Cheryl Y MagninDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Luca R KollyDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Huijuan WangDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Matthias BrunnerDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Mamta ChabriaDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Grazia M CereghettiDepartment of Diagnostic, Interventional, and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Hubert S GabryśDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
Stephanie Tanadini-LangDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
Anne-Christine UldryProteomics & Mass Spectrometry Core Facility (PMSCF), DBMR, University of Bern, Bern, Switzerland.
Manfred HellerProteomics & Mass Spectrometry Core Facility (PMSCF), DBMR, University of Bern, Bern, Switzerland.
Stijn E VerledenDepartment of ASTARC, University of Antwerp, Antwerp, Wilrijk, Belgium.
Kerstin KleinDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Adela-Cristina SarbuDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Manuela Funke-ChambourLung Precision Medicine (LPM), Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
Lukas EbnerDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Oliver DistlerDepartment of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Britta MaurerDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Janine Gote-SchnieringDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antifibrotic therapy with nintedanib is the clinical mainstay in the treatment of progressive fibrosing interstitial lung disease (ILD). High-dimensional medical image analysis, known as radiomics, provides quantitative insights into organ-scale pathophysiology, generating digital disease fingerprints. Here, we performed an integrative analysis of radiomic and proteomic profiles (radioproteomics) to assess whether changes in radiomic signatures can stratify the degree of antifibrotic response to nintedanib in (experimental) fibrosing ILD. Unsupervised clustering of delta radiomic profiles revealed 2 distinct imaging phenotypes in mice treated with nintedanib, contrary to conventional densitometry readouts, which showed a more uniform response. Integrative analysis of delta radiomics and proteomics demonstrated that these phenotypes reflected different treatment response states, as further evidenced on transcriptional and cellular levels. Importantly, radioproteomics signatures paralleled disease- and drug-related biological pathway activity with high specificity, including extracellular matrix (ECM) remodeling, cell cycle activity, wound healing, and metabolic activity. Evaluation of the preclinical molecular response-defining features, particularly those linked to ECM remodeling, in a cohort of nintedanib-treated fibrosing patients with ILD, accurately stratified patients based on their extent of lung function decline. In conclusion, delta radiomics has great potential to serve as a noninvasive and readily accessible surrogate of molecular response phenotypes in fibrosing ILD. This could pave the way for personalized treatment strategies and improved patient outcomes.

Indexed as

IndolesProteomicsPulmonary FibrosisAnimalsAntifibrotic AgentsDisease Models, AnimalExtracellular MatrixFemaleHumansLungLung Diseases, InterstitialMaleMiceAntifibrotic AgentsIndolesnintedanibDiagnostic imagingFibrosisProteomicsPulmonologyTherapeutics

Identifiers

PMID39012714
PMCPMC11383602

What OpenQuestion holds

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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 OpenQuestion graph.