Evidence map›Paper›PMID 41126189›Full record

Observational studyRespiratory research2025

Mass spectrometry-based peripheral blood proteomics for biomarker discovery in idiopathic pulmonary fibrosis.

Aravind A Menon, Benedikt Gansen, Hillary Mulder, Megan L Neely, Panagiotis Papavasileiou, Margaret L Salisbury, Brian D Southern, Christian Hesslinger, Thomas B Leonard, Felix Meissner and 1 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01915511 (Idiopathic Pulmonary Fibrosis Prospective Outcomes), which is not on this map. Not yet cited in PubMed.

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

NCT01915511 recruitingnot on this map

Idiopathic Pulmonary Fibrosis Prospective Outcomes (IPF-PRO) and Interstitial Lung Disease Prospective Outcomes (IPF-PRO/ILD-PRO) Registry

Typeobservational_patient_registrySponsorDuke UniversityRan2014 to 2031Enrolled3,000ConditionsIdiopathic Pulmonary Fibrosis, Interstitial Lung Disease
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aravind A Menon *Medical University of South Carolina, Charleston, SC, USA.
Benedikt Gansen *University Hospital Bonn, Bonn, Germany.
Hillary MulderDuke Clinical Research Institute, Durham, NC, USA.
Megan L NeelyDuke Clinical Research Institute, Durham, NC, USA.
Panagiotis PapavasileiouBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Margaret L SalisburyVanderbilt University Medical Center, Nashville, TN, USA.
Brian D SouthernCleveland Clinic, Cleveland, OH, USA.
Christian HesslingerBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Thomas B LeonardBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CO, USA.
Felix Meissner *University Hospital Bonn, Bonn, Germany. felix.meissner@uni-bonn.de.
Jamie L Todd *Duke Clinical Research Institute, Durham, NC, USA. jamie.todd@duke.edu.

Funding

Reconceptualizing Disease Progression in Pulmonary FibrosisR01HL179065 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Margaret Louise Salisbury · 2025 to 2026
$1.5M
Defining the biologic and physiologic trajectory of presymptomatic through advanced pulmonary fibrosisR56HL166941 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SALISBURY, MARGARET LOUISE · 2023 to 2023
$768k
NHLBI NIH HHS R01 HL179065NHLBI NIH HHS R56 HL166941
6 · The paper itself

Abstract

backgroundThe circulating proteome may provide insights into the pathobiology of idiopathic pulmonary fibrosis (IPF) and diagnostic or prognostic biomarkers. We applied liquid chromatography coupled to mass spectrometry to quantify the peripheral blood proteome in patients with IPF and identify proteins associated with disease severity and progression.

methodsThe IPF cohort comprised 299 patients from the IPF-PRO Registry. Controls (n = 99) without known lung disease had similar distributions of age, sex and smoking status to the IPF cohort. Proteins were measured in plasma collected at enrollment using an Evosep One coupled to an Orbitrap Exploris. Data were analyzed with Spectronaut 14 with a deep experimental spectral library and were log

resultsOverall, 761 protein groups corresponding to 736 unique genes were detected. Of these, 168 protein groups were significantly different in abundance in the IPF versus control cohorts, of which 39 were ≥ 1.3-fold different. Among the top differentially expressed proteins were surfactant protein B (SFTPB), secretoglobin family 3A member 1, intercellular adhesion molecule 1, thrombospondin 1 and platelet factor 4. In patients with IPF, greater abundance of apolipoprotein A-1 was statistically significantly associated with higher forced vital capacity % predicted at enrollment, while greater abundance of fibulin-1 was statistically significantly associated with lower diffusing capacity of the lungs for carbon monoxide % predicted. Multivariable models selected 4 proteins (SERPINA7, SFTPB, alpha 2 HS glycoprotein, kininogen 1) and 3 clinical factors that best discriminated the risk of respiratory death or lung transplant in patients with IPF, with a C-index of 0.78 in the training set and 0.72 in the test set.

conclusionsMass spectrometry-based proteomic analysis of data from the IPF-PRO Registry confirmed proteins previously associated with the presence, severity and progression of IPF and revealed new candidate biomarkers.

trial registrationClinicalTrials.gov; No: NCT01915511; registered August 5, 2013; URL: www. CLINICALTRIALS: gov .

Indexed as

Blood ProteinsIdiopathic Pulmonary FibrosisMass SpectrometryProteomicsAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedRegistriesBiomarkersBlood ProteinsInterstitial lung diseasesObservational studyProteomeRegistries

Identifiers

PMID41126189
PMCPMC12548219

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Registered trials

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.