Cytokine Levels of Skin Lesions in Moderate and Severe Psoriasis as Predictors for the Type 4 Fosphodiesterase Inhibitor (Apremilast) Therapy Effectivness

Author:

Kubanov Alexey A.ORCID,Artamonova Olga G.ORCID,Karamova Arfenya E.ORCID,Vasileva Elena L.ORCID,Deryabin Dmitry G.ORCID

Abstract

Background.Psoriasis is a widespread skin disorder characterized by cytokines as the main modulators of skin inflammation. A promising psoriasis therapy approach is targeted on cytokine networks by inhibiting the phosphodiesterase 4 (PDE-4). The efficacy and safety of the PDE-4 inhibitor apremilast in psoriasis confirmed in multicenter controlled studies, which, however, are accompanied by reports of unsuccessful therapy cases.Aims to determine early immunological predictors for PDE-4 inhibitor (apremilast) therapy efficacy based on skin lesions cytokines analyzes in patients with moderate to severe psoriasis.Methods.An open, uncontrolled prospective clinical study was performed. Efficacy of apremilast was analyzed by PASI, BSA, sPGA and DLQI. The outcomes at 26 therapy week were compared with the cytokine levels in skin biopsies selected before starting therapy and analyzed using xMAP technology. The multiparameter prognostic model for apremilast therapy effectiveness was developed based on a heterogeneous sequential recognition procedure.Results.The 34 patients with moderate to severe psoriasis were included in the study. According to the clinical outcomes, two comparison groups were formed: high (75% reduction in PASI score or more; n=14) and insufficient (50% reduction in PASI score or less; n=20) apremilast efficiency. Cytokines analyses showed an inverse relationship between the initial anti-inflammatory IL-10 level and the PASI reduction (r=0.37; p0.025). On the other hand, the relationships between pro-inflammatory cytokines IL-1 and IL-6 levels and PASI score at the 26th week of therapy were characterized by positive correlation: r=0.31 (p0.05) and r=0.37 (p0.025), respectively. Based on the data obtained, a predictive model for the apremilast therapy efficiency was developed. The expected predictive values of this model were 86% for a high therapy effectiveness and 60% for an insufficient effectiveness, respectively.Conclusions.The study results for the first time describe the cytokine profiles in the skin lesions in patients, who responded differently to PDE-4 inhibitor therapy. These dada allows to predict the treatment efficacy and give a chance to personalize apremilast usage for the moderate and severe psoriasis treatment.

Publisher

Paediatrician Publishers LLC

Subject

General Medicine

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