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Aim: This study evaluated the influence of pharmacogenetics in psoriatic patients treated with adalimumab and/or infliximab., Materials & Methods: Prospective observational study evaluating the association of 124 polymorphisms with the response to adalimumab or infliximab (PASI75) in patients with moderate-to-severe plaque psoriasis at 3 months (n = 95) and 6 months of treatment (n = 90). Significant SNPs for univariate analysis were subjected to multivariate analysis., Results: Five SNPs were associated with PASI75 at 3 months: rs6661932 (IVL), rs2546890 (IL-12B), rs2145623 (NFKBIA), rs9304742 (ZNF816A) and rs645544 (SLC9A8). Furthermore, rs1061624 (TNFR1B) was associated with PASI75 at 6 months., Conclusion: Nevertheless, these biomarkers should be validated in large-scale studies before implementation in clinical practice.

Aim: The aim was to evaluate the effect of polymorphisms in metabolizing enzymes and transporters on the pharmacokinetics, pharmacodynamics and adverse effects of trazodone in healthy volunteers., Materials & Methods: 36 healthy volunteers receiving a single 100-mg oral dose of trazodone were genotyped for 11 variants in CYP3A4, CYP3A5, CYP2D6 and ABCB1 by real-time PCR. Plasma concentrations were measured using liquid chromatography-tandem mass spectrometry method., Results & Conclusion: Sex affected the pharmacokinetics of trazodone with higher clearance in women. Polymorphisms in ABCB1, but not in CYP3A or CYP2D6, influenced trazodone pharmacokinetics. Trazodone decreased blood pressure and prolonged the corrected QT interval interval. CYP2D6 and ABCB1 polymorphisms were associated with the incidence of dizziness and prolonged corrected QT interval, respectively. Subjects with adverse drug reactions had lower concentrations of trazodone suggesting its metabolite (m-chlorophenylpiperazine) could be responsible for these effects.

Aim: Few studies have evaluated the influence of pharmacogenetics in psoriatic patients treated with etanercept., Materials & Methods: We evaluated the association between 124 polymorphisms with the response to etanercept in patients with moderate-to-severe plaque psoriasis at 3 months (n = 78) and 6 months of treatment (n = 68)., Results: The results of the multivariate analysis showed an association between polymorphisms rs13437088 (HLA-B/MICA), rs96844 (MAP3K1), rs2431697 (PTTG1), rs9304742 (ZNF816A) and the response to etanercept at 3 months. Besides polymorphisms rs928655 (GBP6) and rs2546890 (IL12B) were associated to response at 6 months., Conclusions: Nevertheless, these biomarkers should be validated in large-scale studies before its implementation in clinical practice.

Aim/Materials & methods: Few studies have evaluated the influence of pharmacogenetics in psoriatic patients treated with ustekinumab. We evaluated 121 polymorphisms to study a possible association between these SNPs and the response to ustekinumab (PASI75 at 4 months; n = 69)., Results/conclusion: The adjusted results (false discovery rate) showed an association between five SNPs in TNFRSF1A, HTR2A, NFKBIA, ADAM33 and IL13 genes, and poor response to ustekinumab. Furthermore, six SNPs in CHUK, C17orf51, ZNF816A, STAT4, SLC22A4 and Corf72 genes were associated with better response to ustekinumab. However, there was no significant association between response to ustekinumab and SNPs in HLA-C as it has been recently described. Finally, a higher weight was obtained in nonresponders than responders (p = 0.018). Further studies would be necessary to be closer to personalized medicine.

Psoriasis improves when IL-17 is blocked. Anti-TNF drugs reduce the IL-17 signaling pathway, and anti-IL-17 drugs are being developed to treat moderate-to-severe psoriasis. We analyzed three SNPs in IL-17A (rs2275913 and rs10484879) and IL-17F (rs763780) to look for an association with psoriasis and/or with response to anti-TNF drugs or ustekinumab. We included 197 healthy controls and 194 patients with moderate-to-severe psoriasis. The results of the univariate analysis showed an association between rs10484879 and psoriasis, although this relationship disappeared after adjustment for HLA-C (rs12191877). We also found an association between rs763780 (IL-17F) and response to ustekinumab (n = 70) and infliximab (n = 37) at 3 and 6 months and an association between rs763780 and the response to adalimumab at 6 months (n = 67).

Aim: To evaluate the effect of polymorphisms in CYP2C9 and CYP2C8 and gender on the pharmacokinetics of the enantiomeric forms of ibuprofen., Materials & Methods: 122 healthy volunteers were genotyped for polymorphisms in CY2C8 and CYP2C9 using real-time PCR., Results: CYP2C8 polymorphisms affected neither R- nor S-ibuprofen. CYP2C9*3 and CYP2C9*2 carriers had a lower S-ibuprofen clearance and a higher S-ibuprofen AUC and half-life. R-ibuprofen clearance was decreased in CYP2C9*3 carriers. Gender affected R-ibuprofen and S-ibuprofen pharmacokinetics. Multiple regression analysis showed that CYP2C9*2, CYP2C9*3 and gender were associated with S-ibuprofen clearance, but only CYP2C9*3 was associated with R-ibuprofen clearance., Conclusion: The pharmacokinetics of S-ibuprofen and R-ibuprofen is affected by CYP2C9 polymorphisms and gender. CYP2C8 polymorphisms do not have a significant role. Original submitted 6 February 2015; Revision submitted 1 April 2015.

Psoriasis is a chronic skin disease in which genetics play a major role. Although many genome-wide association studies have been performed in psoriasis, knowledge of the age at onset remains limited. Therefore, we analyzed 173 single-nucleotide polymorphisms in genes associated with psoriasis and other autoimmune diseases in patients with moderate-to-severe plaque psoriasis type I (early-onset, <40 years) or type II (late-onset, ≥40 years) and healthy controls. Moreover, we performed a comparison between patients with type I psoriasis and patients with type II psoriasis. Our comparison of a stratified population with type I psoriasis (n = 155) and healthy controls (N = 197) is the first to reveal a relationship between the CLMN, FBXL19, CCL4L, C17orf51, TYK2, IL13, SLC22A4, CDKAL1, and HLA-B/MICA genes. When we compared type I psoriasis with type II psoriasis (N = 36), we found a significant association between age at onset and the genes PSORS6, TNF-α, FCGR2A, TNFR1, CD226, HLA-C, TNFAIP3, and CCHCR1. Moreover, we replicated the association between rs12191877 (HLA-C) and type I psoriasis and between type I and type II psoriasis. Our findings highlight the role of genetics in age of onset of psoriasis.