Evidence map›Paper›PMID 40040892›Full record

ArticleERJ open research2025

Targeted proteomics in extracellular vesicles identifies biomarkers predictive for therapeutic response in sarcoidosis.

Raisa Kraaijvanger, Montse Janssen Bonás, Ioanna Paspali, Jan C Grutters, Marcel Veltkamp, Dominique P V de Kleijn, Coline H M van Moorsel

Abstract read
In one paragraph

Article in ERJ open research, 2025. 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. New Therapies for Sarcoidosis: Molecular and Pathophysiological Basis.International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Raisa KraaijvangerILD Center of Excellence, member of European Reference Network-Lung, St Antonius Hospital, Nieuwegein, The Netherlands.
Montse Janssen BonásILD Center of Excellence, member of European Reference Network-Lung, St Antonius Hospital, Nieuwegein, The Netherlands.
Ioanna PaspaliDepartment of Vascular Surgery, Division of Surgical Specialties, University Medical Center, Utrecht, The Netherlands.
Jan C GruttersILD Center of Excellence, member of European Reference Network-Lung, St Antonius Hospital, Nieuwegein, The Netherlands.
Marcel VeltkampILD Center of Excellence, member of European Reference Network-Lung, St Antonius Hospital, Nieuwegein, The Netherlands.
Dominique P V de KleijnDepartment of Vascular Surgery, Division of Surgical Specialties, University Medical Center, Utrecht, The Netherlands.
Coline H M van MoorselILD Center of Excellence, member of European Reference Network-Lung, St Antonius Hospital, Nieuwegein, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ∼30% of patients with sarcoidosis, a systemic granulomatous disease of unknown cause, need treatment to alleviate symptoms or prevent organ damage. Prednisone and methotrexate (MTX) are the most commonly used drugs; however, success of treatment varies from patient to patient. In this study, we search for biomarkers and pathways that predict response to treatment with prednisone or MTX in extracellular vesicles (EVs). Methods: A targeted proteomics approach (OLINK Bioscience) was used in which 92 proteins were measured in two baseline EV fractions in 32 patients treated for pulmonary sarcoidosis (eight responders and eight non-responders each for prednisone and MTX). The top three proteins were replicated in 62 prednisone- and 76 MTX-treated patients. Results: We identified 11 differentially expressed proteins (DEPs) between responders and non-responders to prednisone treatment, and 16 DEPs for patients treated with MTX. Reactome pathway analysis showed DEPs in prednisone to be involved in nuclear factor kappa B and interleukin signalling pathways. The DEPs in MTX were involved in transduction of GPI-anchored proteins and MAPK signalling pathway. CHI3L1 for prednisone and CPA1 for MTX were replicated as significant predictors of response. Conclusion: This study is the first to show that in pulmonary sarcoidosis the response to treatment with prednisone or MTX can be predicted at baseline by different EV proteins active in different pathways. Using these markers and associated pathways to identify patients with a high probability of response to therapy will aid personalised treatment choice and improve treatment outcome.

Identifiers

PMID40040892
PMCPMC11874217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.