ArticlePloS one2012
The peripheral blood transcriptome identifies the presence and extent of disease in idiopathic pulmonary fibrosis.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
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Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transcriptomics of interstitial lung disease: a systematic review and meta-analysis.The European respiratory journal · 2025Pooled it
- Identifying a gene expression signature of frequent COPD exacerbations in peripheral blood using network methods.BMC medical genomics · 2015Trial
- Article
- GRN and KLRB1 define a shared peripheral-blood transcriptomic signature linking SLE and IPF.Journal of translational autoimmunity · 2026Article
- Ectopic expression of MUC5B in the respiratory bronchiole initiates endoplasmic reticulum stress in the IPF lung.American journal of respiratory cell and molecular biology · 2026Article
- The Relationship Between Differential Expression of Non-coding RNAs (TP53TG1, LINC00342, MALAT1, DNM3OS, miR-126-3p, miR-200a-3p, miR-18a-5p) and Protein-Coding Genes (PTEN, FOXO3) and Risk of Idiopathic Pulmonary Fibrosis.Biochemical genetics · 2026Article
- Machine Learning-Driven Discovery of TRIM Genes as Diagnostic Biomarkers for Idiopathic Pulmonary Fibrosis.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease.Frontiers in immunology · 2025Article
- Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024Article
- SLC15A3 plays a crucial role in pulmonary fibrosis by regulating macrophage oxidative stress.Cell death and differentiation · 2024Article
- Diagnostic potential of genomic blood biomarkers of pulmonary fibrosis in a prospective cohort.PloS one · 2024Article
- Rationale and design of the prognostic transcriptomic signature in fibrotic hypersensitivity pneumonitis (PREDICT) study.ERJ open research · 2024Article
- Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.IET systems biology · 2023Article
- Cluster analysis of transcriptomic datasets to identify endotypes of idiopathic pulmonary fibrosis.Thorax · 2023Article
- Integrative multi-omics analysis reveals novel idiopathic pulmonary fibrosis endotypes associated with disease progression.Respiratory research · 2023Article
- Toward a Systematic Assessment of Sex Differences in Cystic Fibrosis.Journal of personalized medicine · 2023Article
- Integrative bioinformatics and validation studies reveal KDM6B and its associated molecules as crucial modulators in Idiopathic Pulmonary Fibrosis.Frontiers in immunology · 2023Article
- Inhibition of lung microbiota-derived proapoptotic peptides ameliorates acute exacerbation of pulmonary fibrosis.Nature communications · 2022Article
- PACSIN proteins in vivo: Roles in development and physiology.Acta physiologica (Oxford, England) · 2022Review
- Biochemical and genomic identification of novel biomarkers in progressive sarcoidosis: HBEGF, eNAMPT, and ANG-2.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
rationalePeripheral blood biomarkers are needed to identify and determine the extent of idiopathic pulmonary fibrosis (IPF). Current physiologic and radiographic prognostic indicators diagnose IPF too late in the course of disease. We hypothesize that peripheral blood biomarkers will identify disease in its early stages, and facilitate monitoring for disease progression.
methodsGene expression profiles of peripheral blood RNA from 130 IPF patients were collected on Agilent microarrays. Significance analysis of microarrays (SAM) with a false discovery rate (FDR) of 1% was utilized to identify genes that were differentially-expressed in samples categorized based on percent predicted D(L)CO and FVC. MAIN MEASUREMENTS AND
resultsAt 1% FDR, 1428 genes were differentially-expressed in mild IPF (D(L)CO >65%) compared to controls and 2790 transcripts were differentially- expressed in severe IPF (D(L)CO >35%) compared to controls. When categorized by percent predicted D(L)CO, SAM demonstrated 13 differentially-expressed transcripts between mild and severe IPF (< 5% FDR). These include CAMP, CEACAM6, CTSG, DEFA3 and A4, OLFM4, HLTF, PACSIN1, GABBR1, IGHM, and 3 unknown genes. Principal component analysis (PCA) was performed to determine outliers based on severity of disease, and demonstrated 1 mild case to be clinically misclassified as a severe case of IPF. No differentially-expressed transcripts were identified between mild and severe IPF when categorized by percent predicted FVC.
conclusionsThese results demonstrate that the peripheral blood transcriptome has the potential to distinguish normal individuals from patients with IPF, as well as extent of disease when samples were classified by percent predicted D(L)CO, but not FVC.
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