A multicenter photoprovocation study to identify potential biomarkers by global peptide profiling in cutaneous lupus erythematosus. (November 2015)

• Record Type: Journal Article
• Authors: Calderon, C; Zucht, H-D; Kuhn, A; Wozniacka, A; Szepietowski, J C; Nyberg, F; Weichenthal, M; Piantone, A; Budde, P
• Is Part Of: Lupus. Volume 24:Number 13(2015)
• Page Start: 1406
• Page End: 1420
• Publication Date: 2015-11
• Subjects: Cutaneous lupus erythematosus -- lupus erythematosus -- peptides -- peptidomics -- photoprovocation; Systemic lupus erythematosus -- Periodicals; 616.772005
• DOI: 10.1177/0961203315596077
• Languages: English
• ISSNs: 0961-2033

Abstract

Cutaneous lupus erythematosus (CLE) is an inflammatory autoimmune skin disease in which abnormal photosensitivity is an important pathogenetic factor but is difficult to predict, creating a challenge in determining treatment efficacy. Although photosensitivity in CLE patients may change over time, photoprovocation testing with ultraviolet (UV) A and UVB irradiation can be a helpful tool to explore differences between responders and nonresponders during photoprovocation. To identify biomarkers that could substitute for the clinical endpoint lesion development, we performed a global peptidomics profiling analysis of CLE subjects in a controlled photoprovocation study. Plasma and skin biopsy samples were collected before and after UV-irradiation from 13 healthy volunteers and 47 CLE subjects. Twenty-two of the 47 CLE subjects developed skin lesions. The samples were analyzed using a label-free quantitative peptidomics workflow combined with univariate and multivariate statistical analyses. The primary finding was identification of a specific plasma peptide signature separating responders versus nonresponders at baseline. The peptide signature consisted of beta 2-microglobulin (B2MG), human beta-defensin-1, and peptides derived from CD99, polymeric immunoglobulin receptor, and immunoglobulin kappa light chains. In skin, elevated B2MG levels correlated with lesion formation. Our results show that the peptidome is a rich source of potential biomarkers for predicting photosensitivity in CLE.