PDE4 Gene Family Variants Are Associated with Response to Apremilast Treatment in Psoriasis.
Kalliopi LiadakiEfterpi ZafiriouThemistoklis GiannoulisSofia AlexoudaKleoniki ChaidakiPolyxeni GidarokostaAngeliki-Viktoria Roussaki-SchulzeSotirios G TsiogkasAthina Ioanna DaponteZissis MamurisDimitrios Petros BogdanosNicholas K MoschonasTheologia SarafidouPublished in: Genes (2024)
Moderate-to-severe psoriasis (Ps) treatment includes systemic drugs and biological agents. Apremilast, a small molecule primarily metabolized by cytochrome CYP3A4, modulates the immune system by specifically inhibiting phosphodiesterase type 4 (PDE4) isoforms and is currently used for the treatment of Ps and psoriatic arthritis (PsA). Clinical trials and real-world data showed variable efficacy in response among Ps patients underlying the need for personalized therapy. This study implements a candidate-gene and a network-based approach to identify genetic markers associated with apremilast response in forty-nine Greek Ps patients. Our data revealed an association of sixty-four SNPs within or near PDE4 and CYP3A4 genes, four SNPs in ncRNAs ANRIL , LINC00941 and miR4706 , which influence the abundance or function of PDE4s, and thirty-three SNPs within fourteen genes whose protein products either interact directly with PDE4 proteins or constitute components of the cAMP signaling pathway which is modulated by PDE4s. Notably, fifty-six of the aforementioned SNPs constitute eQTLs for the respective genes in relevant to psoriasis tissues/cells implying that these variants could be causal. Our analysis provides a number of novel genetic variants that, upon validation in larger cohorts, could be utilized as predictive markers regarding the response of Ps patients to apremilast treatment.
Keyphrases
- genome wide
- end stage renal disease
- ejection fraction
- signaling pathway
- clinical trial
- small molecule
- chronic kidney disease
- newly diagnosed
- prognostic factors
- copy number
- prostate cancer
- cell proliferation
- dna methylation
- induced apoptosis
- gene expression
- stem cells
- randomized controlled trial
- electronic health record
- patient reported outcomes
- high intensity
- mesenchymal stem cells
- oxidative stress
- binding protein
- drug induced
- deep learning
- transcription factor
- antibiotic resistance genes