Assessment of pulmonary fibrosis using weighted gene co-expression network analysis
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces novel multi-gene biomarkers for identifying chemicals that cause lung fibrosis. These biomarkers, derived from gene expression analysis, enable efficient screening and prioritization of industrial chemicals.
Area Of Science
- Toxicology
- Biomarker Discovery
- Computational Biology
Background
- Sparse toxicological data exists for many industrial chemicals, necessitating new methods for chemical safety assessment.
- There is a high demand for New Approach Methodologies (NAMs) for screening and prioritizing chemicals regarding regulatory endpoints like lung fibrosis.
Purpose Of The Study
- To propose and validate multi-gene biomarkers for assessing a compound's potential to induce lung fibrosis.
- To demonstrate the application of these biomarkers for *in vitro* screening of industrial chemicals.
Main Methods
- Weighted gene co-expression network analysis (WGCNA) was used to reanalyze mouse pulmonary gene expression data from bleomycin-induced lung fibrosis.
- Eight gene modules associated with different phases of fibrosis development were identified.
- Module relevance was confirmed by comparison with known lung fibrosis markers from DisGeNET.
Main Results
- Eight gene modules, ranging from 58 to 273 genes, were identified and linked to inflammatory and fibrotic phases of lung fibrosis.
- The identified modules demonstrated differential activation in response to known lung fibrosis-inducing diketones in an *in vitro* assay.
- A dose-dependent increase in module activation was observed for fibrotic diketones, distinguishing them from non-fibrotic compounds.
Conclusions
- Composite biomarkers derived from multi-gene modules show potential for mechanistic screening of chemical-induced lung fibrosis.
- This approach offers a promising New Approach Methodology (NAM) for evaluating chemical safety and prioritizing compounds.
- The study highlights the utility of gene expression-based biomarkers for toxicological assessments.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.