Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions.
Maria Claudia CostaClaudia AngeliniMonica FranzeseConcetta IsideMarco SalvatoreLuigi LaezzaFrancesco NapolitanoMichele CeccarelliPublished in: Journal of translational medicine (2024)
The consensus signature highlights crucial mechanisms for disease progression. Moreover, these genes were associated with several candidate drugs that could represent potential innovative therapeutics. Furthermore, the patient's risk scores can be used in clinical settings.
Keyphrases
- drug induced
- liver injury
- bioinformatics analysis
- adverse drug
- case report
- rheumatoid arthritis
- genome wide
- small molecule
- gene expression
- transcription factor
- knee osteoarthritis
- clinical practice
- genome wide identification
- emergency department
- heat shock
- risk assessment
- oxidative stress
- single cell
- genome wide analysis