These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: A multicenter photoprovocation study to identify potential biomarkers by global peptide profiling in cutaneous lupus erythematosus. Author: Calderon C, Zucht HD, Kuhn A, Wozniacka A, Szepietowski JC, Nyberg F, Weichenthal M, Piantone A, Budde P. Journal: Lupus; 2015 Nov; 24(13):1406-20. PubMed ID: 26206719. 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.[Abstract] [Full Text] [Related] [New Search]