AIMC Topic: Idiopathic Pulmonary Fibrosis
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Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.
Scientific reports
Jul 17, 2025
Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fibrosis (IPF). This study aimed to elucidate pathogenic pathways connecting obesity and IPF and identify diagnostic biomarkers for obesity-related pulmo...
Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis.
Biology direct
Jul 15, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive pulmonary disease characterized by alveolar structural destruction and fibrosis. In recent years, efferocytosis has been recognized as playing a crucial role in the occurrence a...
Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis.
Orphanet journal of rare diseases
Jul 10, 2025
OBJECTIVE: Emerging evidence suggests a potential relationship between lipid metabolism and idiopathic pulmonary fibrosis (IPF). This study aimed to identify lipid-related genes implicated in IPF pathogenesis.
Machine learning-based integration identifies plasma cells-related gene signature ST6GAL1 in idiopathic pulmonary fibrosis.
BMC pulmonary medicine
Jul 2, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a rare, progressive, and fibrotic disease with poor prognosis that lacks treatment options. As a major component of the lung adaptive immune system, plasma cells play a crucial regulatory role during...
Diagnosis of early idiopathic pulmonary fibrosis: current status and future perspective.
Respiratory research
May 19, 2025
The standard approach to diagnosing idiopathic pulmonary fibrosis (IPF) includes identifying the usual interstitial pneumonia (UIP) pattern via high resolution computed tomography (HRCT) or lung biopsy and excluding known causes of interstitial lung ...
ITGAV, a specific biomarker associated with the pathogenesis of idiopathic pulmonary fibrosis.
Scientific reports
May 15, 2025
Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly as usual interstitial pneumonia (UIP), is easily confused with chronic hypersensitivity pneumonitis (CHP) and collagenous vascular disease in clinical...
Minimum clinically important difference in Quantitative Lung Fibrosis score associated with all-cause mortality in idiopathic pulmonary fibrosis: subanalysis from two phase II trials of pamrevlumab.
BMJ open
May 12, 2025
OBJECTIVES: Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease. Chest high-resolution CT (HRCT) is instrumental in IPF management, and the Quantitative Lung Fibrosis (QLF) score is a computer-assisted metric for quantifyin...
Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.
PloS one
Apr 24, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease with a fatal outcome, known for its rapid progression and unpredictable clinical course. However, the tools available for diagnosing and treating IPF are quite limited. T...
Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis.
European journal of medical research
Apr 15, 2025
BACKGROUND: The diagnosis of idiopathic pulmonary fibrosis (IPF) is complex, which requires lung biopsy, if necessary, and multidisciplinary discussions with specialists. Clinical diagnosis of the two ailments is particularly challenging due to the i...
Cost-effectiveness of novel diagnostic tools for idiopathic pulmonary fibrosis in the United States.
BMC health services research
Mar 15, 2025
OBJECTIVES: Novel non-invasive machine learning algorithms may improve accuracy and reduce the need for biopsy when diagnosing idiopathic pulmonary fibrosis (IPF). We conducted a cost-effectiveness analysis of diagnostic strategies for IPF.
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