Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Serum Proteomics Identifies Biomarkers Associated With the Pathogenesis of Idiopathic Pulmonary Fibrosis

2 Mar 2023

Abstract excerpt

The heterogeneity of idiopathic pulmonary fibrosis (IPF) limits its diagnosis and treatment. The association between the pathophysiological features and the serum protein signatures of IPF currently remains unclear. The present study analyzed the specific proteins and patterns associated with the clinical parameters of IPF based on a serum proteomic dataset by data-independent acquisition using MS. Differentiated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Share to Medical Imaging and Pathology Studies
Share to Sarcoidosis and Beryllium Toxicity Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36870568
DOI: 10.1016/j.mcpro.2023.100524

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Serum Proteomics Identifies Biomarkers Associated With the Pathogenesis of Idiopathic Pulmonary FibrosisPMID 36870568Read ↗

Bioinformatic analyses and integrated machine learning reveal the role of lactate, a metabolic driver of the immune landscape, serves in idiopathic pulmonary fibrosisSemantic proximity Read ↗

Moving past multidisciplinary discussions and Gender-Age-Physiology model: precision medicine through biological phenotyping in interstitial lung disease.Semantic proximity Read ↗

Integrative Single-Cell Transcriptomics and Machine Learning Identify Pentose Phosphate Pathway-Related Core Biomarkers for Diagnosis of Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

Serum profiles of metabolomic and GDF-15 differentiate idiopathic pulmonary fibrosis from other interstital lung diseases: a preliminary studySemantic proximity Read ↗

Identification and Validation of Aging-Related Genes in Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

Integrating cellular experiments, single-cell sequencing, and machine learning to identify endoplasmic reticulum stress biomarkers in idiopathic pulmonary fibrosisSemantic proximity Read ↗

Integrative analysis of lung molecular signatures reveals key drivers of idiopathic pulmonary fibrosisSemantic proximity Read ↗

iTRAQ-Based Proteomics Reveals Novel Biomarkers for Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

The role of oxidative stress-related genes in idiopathic pulmonary fibrosisSemantic proximity Read ↗

Exploring the Cellular and Molecular Landscape of Idiopathic Pulmonary Fibrosis: Integrative Multi-Omics and Single-Cell AnalysisSemantic proximity Read ↗

Bioinformatic Analyses of Potential Key Genes in the Pathogenesis of Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.