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Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers

BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referra...

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Autores principales: Cretu, Daniela, Liang, Kun, Saraon, Punit, Batruch, Ihor, Diamandis, Eleftherios P, Chandran, Vinod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304122/
https://www.ncbi.nlm.nih.gov/pubmed/25678896
http://dx.doi.org/10.1186/1559-0275-12-1
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author Cretu, Daniela
Liang, Kun
Saraon, Punit
Batruch, Ihor
Diamandis, Eleftherios P
Chandran, Vinod
author_facet Cretu, Daniela
Liang, Kun
Saraon, Punit
Batruch, Ihor
Diamandis, Eleftherios P
Chandran, Vinod
author_sort Cretu, Daniela
collection PubMed
description BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referral to a rheumatologist. Potential PsA biomarkers likely originate in sites of inflammation, such as the skin, and subsequently enter systemic circulation. Our goal was to identify candidate PsA biomarkers by comparing the proteome of skin biopsies obtained from patients with PsA to that from patients with psoriasis without PsA. METHODS: Skin biopsies were obtained from involved and uninvolved skin of 10 PsA and 10 age/gender-matched psoriasis patients without PsA (PsC). Using strong cation exchange chromatography, followed by label-free quantitative tandem mass spectrometry, we characterized the proteomes of pooled skin samples. Extracted ion current intensities were used to calculate protein abundance ratios, and these were utilized to identify differentially regulated proteins. RESULTS: Forty-seven proteins were elevated in PsA-derived skin compared to PsC-derived skin. Selected reaction monitoring assays were developed to quantify these potential PsA markers in individual skin samples, and 8 markers were confirmed in an independent sample set. ITGB5 and POSTN were measured in serum samples from 33 PsA and 15 PsC patients, using enzyme-linked immunosorbent assays. ITGB5 was significantly elevated in PsA serum (P < 0.01), and POSTN showed a trend. ITGB5 and POSTN correlated significantly in both patient groups (r = 0.472, P < 0.001). CONCLUSION: Proteomic analysis of PsA and PsC skin identified eight new candidate biomarkers. These markers need to be validated with a larger and independent cohort, in order to delineate their clinical utility in PsA patients. These proteins may also uncover unknown aspects of PsA pathobiology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1559-0275-12-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-43041222015-02-12 Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers Cretu, Daniela Liang, Kun Saraon, Punit Batruch, Ihor Diamandis, Eleftherios P Chandran, Vinod Clin Proteomics Research BACKGROUND: Psoriatic arthritis (PsA) is a distinct inflammatory arthritis occurring in 30% of psoriasis patients. There is a high prevalence of undiagnosed PsA in psoriasis patients; therefore, identifying soluble biomarkers for PsA could help in screening psoriasis patients for appropriate referral to a rheumatologist. Potential PsA biomarkers likely originate in sites of inflammation, such as the skin, and subsequently enter systemic circulation. Our goal was to identify candidate PsA biomarkers by comparing the proteome of skin biopsies obtained from patients with PsA to that from patients with psoriasis without PsA. METHODS: Skin biopsies were obtained from involved and uninvolved skin of 10 PsA and 10 age/gender-matched psoriasis patients without PsA (PsC). Using strong cation exchange chromatography, followed by label-free quantitative tandem mass spectrometry, we characterized the proteomes of pooled skin samples. Extracted ion current intensities were used to calculate protein abundance ratios, and these were utilized to identify differentially regulated proteins. RESULTS: Forty-seven proteins were elevated in PsA-derived skin compared to PsC-derived skin. Selected reaction monitoring assays were developed to quantify these potential PsA markers in individual skin samples, and 8 markers were confirmed in an independent sample set. ITGB5 and POSTN were measured in serum samples from 33 PsA and 15 PsC patients, using enzyme-linked immunosorbent assays. ITGB5 was significantly elevated in PsA serum (P < 0.01), and POSTN showed a trend. ITGB5 and POSTN correlated significantly in both patient groups (r = 0.472, P < 0.001). CONCLUSION: Proteomic analysis of PsA and PsC skin identified eight new candidate biomarkers. These markers need to be validated with a larger and independent cohort, in order to delineate their clinical utility in PsA patients. These proteins may also uncover unknown aspects of PsA pathobiology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1559-0275-12-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-01-13 /pmc/articles/PMC4304122/ /pubmed/25678896 http://dx.doi.org/10.1186/1559-0275-12-1 Text en © Cretu et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Cretu, Daniela
Liang, Kun
Saraon, Punit
Batruch, Ihor
Diamandis, Eleftherios P
Chandran, Vinod
Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title_full Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title_fullStr Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title_full_unstemmed Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title_short Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
title_sort quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304122/
https://www.ncbi.nlm.nih.gov/pubmed/25678896
http://dx.doi.org/10.1186/1559-0275-12-1
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