PXD069424

PXD069424 is an original dataset announced via ProteomeXchange.

Title	Plasma Proteomics and Machine Learning Deliver Non-invasive Distinction between Fibrotic Hypersensitivity Pneumonitis and Idiopathic Pulmonary Fibrosis
Description	A total of 119 subjects were enrolled from the Chinese Interstitial Lung Disease (ILD) National Cohort and the PORTRAY IPF Cohort between July 2018 and June 2022, including 32 healthy controls (HCs), 31 non-fibrotic HP (NFHP), 28 FHP, and 28 IPF cases. Plasma samples underwent quantitative proteomic profiling, weighted gene co-expression network analysis (WGCNA), and bioinformatics analysis to identify differentially expressed proteins, core pathways, and co-expression modules. Key proteins were selected to construct and validate disease differentiation models using machine learning algorithms. The proteomic dataset comprised 813 identified proteins, with 493 reliably quantified. Pathway analysis implicated nitrogen metabolism, alcohol addiction signaling, and thyroid hormone biosynthesis in disease pathogenesis. A machine learning-based proteomic model was developed for differentiating HP subtypes from IPF. The support vector machine (SVM) algorithm demonstrated the most robust and balanced performance on an independent test set, achieving an accuracy of 71.4% with equal sensitivity and specificity. This model provides a non-invasive tool for preliminary case differentiation and suggests potential biomarkers for precision medicine in fibrotic lung diseases.
HostingRepository	iProX
AnnounceDate	2025-10-14
AnnouncementXML	Submission_2025-10-13_23:59:18.807.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yizhuo Tian
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2025-10-13 23:58:41	ID requested
⏵ 1	2025-10-13 23:59:19	announced

Dataset with its publication pending

submitter keyword: Hypersensitivity pneumonitis

Idiopathic pulmonary fibrosis

Machine learning

Non-invasive screening

Proteomic biomarkers

Artificial intelligence

Chronic interstitial lung disease

Juntao Yang
contact affiliation	Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College
contact email	yangjt@pumc.edu.cn
lab head
Yizhuo Tian
contact affiliation	Institute of Basic Medical Sciences Chinese Academy of Medical Sciences,School of Basic Medicine Peking Union Medical College
contact email	s2024005041@student.pumc.edu.cn
dataset submitter

iProX dataset URI