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Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients

(1) Background: In literature it is reported that 20–30% of psoriatic patients evolve to psoriatic arthritis over time. Currently, no specific biochemical markers can either predict progression to psoriatic arthritis or response to therapies. This study aimed to identify osteoimmunological markers a...

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Autores principales: Diani, Marco, Perego, Silvia, Sansoni, Veronica, Bertino, Lucrezia, Gomarasca, Marta, Faraldi, Martina, Pigatto, Paolo Daniele Maria, Damiani, Giovanni, Banfi, Giuseppe, Altomare, Gianfranco, Lombardi, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888436/
https://www.ncbi.nlm.nih.gov/pubmed/31717649
http://dx.doi.org/10.3390/ijms20225617
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author Diani, Marco
Perego, Silvia
Sansoni, Veronica
Bertino, Lucrezia
Gomarasca, Marta
Faraldi, Martina
Pigatto, Paolo Daniele Maria
Damiani, Giovanni
Banfi, Giuseppe
Altomare, Gianfranco
Lombardi, Giovanni
author_facet Diani, Marco
Perego, Silvia
Sansoni, Veronica
Bertino, Lucrezia
Gomarasca, Marta
Faraldi, Martina
Pigatto, Paolo Daniele Maria
Damiani, Giovanni
Banfi, Giuseppe
Altomare, Gianfranco
Lombardi, Giovanni
author_sort Diani, Marco
collection PubMed
description (1) Background: In literature it is reported that 20–30% of psoriatic patients evolve to psoriatic arthritis over time. Currently, no specific biochemical markers can either predict progression to psoriatic arthritis or response to therapies. This study aimed to identify osteoimmunological markers applicable to clinical practice, giving a quantitative tool for evaluating pathological status and, eventually, to provide prognostic support in diagnosis. (2) Methods: Soluble (serum) bone and cartilage markers were quantified in 50 patients with only psoriasis, 50 psoriatic patients with psoriatic arthritis, and 20 healthy controls by means of multiplex and enzyme-linked immunoassays. (3) Results: Differences in the concentrations of matrix metalloproteases (MMPs), tissue inhibitors of metalloproteinases (TIMPs), receptor activator of nuclear factor kappa-B- ligand (RANK-L), procollagen type I N propeptide (PINP), C-terminal telopeptide of type I collagen (CTx-I), dickkopf-related protein 1 (DKK1), and sclerostin (SOST) distinguished healthy controls from psoriasis and psoriatic arthritis patients. We found that MMP2, MMP12, MMP13, TIMP2, and TIMP4 distinguished psoriasis from psoriatic arthritis patients undergoing a systemic treatment, with a good diagnostic accuracy (Area under the ROC Curve (AUC) > 0.7). Then, chitinase-3-like protein 1 (CHI3L1) and MMP10 distinguished psoriasis from psoriatic arthritis not undergoing systemic therapy and, in the presence of onychopathy, MMP8 levels were higher in psoriasis than in psoriatic arthritis. However, in these latter cases, the diagnostic accuracy of the identified biomarkers was low (0.5 < AUC < 0.7). (4) Conclusions. By highlighting never exploited differences, the wide osteoimmunological biomarkers panel provides a novel clue to the development of diagnostic paths in psoriasis and psoriasis-associated arthropathic disease.
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spelling pubmed-68884362019-12-09 Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients Diani, Marco Perego, Silvia Sansoni, Veronica Bertino, Lucrezia Gomarasca, Marta Faraldi, Martina Pigatto, Paolo Daniele Maria Damiani, Giovanni Banfi, Giuseppe Altomare, Gianfranco Lombardi, Giovanni Int J Mol Sci Article (1) Background: In literature it is reported that 20–30% of psoriatic patients evolve to psoriatic arthritis over time. Currently, no specific biochemical markers can either predict progression to psoriatic arthritis or response to therapies. This study aimed to identify osteoimmunological markers applicable to clinical practice, giving a quantitative tool for evaluating pathological status and, eventually, to provide prognostic support in diagnosis. (2) Methods: Soluble (serum) bone and cartilage markers were quantified in 50 patients with only psoriasis, 50 psoriatic patients with psoriatic arthritis, and 20 healthy controls by means of multiplex and enzyme-linked immunoassays. (3) Results: Differences in the concentrations of matrix metalloproteases (MMPs), tissue inhibitors of metalloproteinases (TIMPs), receptor activator of nuclear factor kappa-B- ligand (RANK-L), procollagen type I N propeptide (PINP), C-terminal telopeptide of type I collagen (CTx-I), dickkopf-related protein 1 (DKK1), and sclerostin (SOST) distinguished healthy controls from psoriasis and psoriatic arthritis patients. We found that MMP2, MMP12, MMP13, TIMP2, and TIMP4 distinguished psoriasis from psoriatic arthritis patients undergoing a systemic treatment, with a good diagnostic accuracy (Area under the ROC Curve (AUC) > 0.7). Then, chitinase-3-like protein 1 (CHI3L1) and MMP10 distinguished psoriasis from psoriatic arthritis not undergoing systemic therapy and, in the presence of onychopathy, MMP8 levels were higher in psoriasis than in psoriatic arthritis. However, in these latter cases, the diagnostic accuracy of the identified biomarkers was low (0.5 < AUC < 0.7). (4) Conclusions. By highlighting never exploited differences, the wide osteoimmunological biomarkers panel provides a novel clue to the development of diagnostic paths in psoriasis and psoriasis-associated arthropathic disease. MDPI 2019-11-10 /pmc/articles/PMC6888436/ /pubmed/31717649 http://dx.doi.org/10.3390/ijms20225617 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Diani, Marco
Perego, Silvia
Sansoni, Veronica
Bertino, Lucrezia
Gomarasca, Marta
Faraldi, Martina
Pigatto, Paolo Daniele Maria
Damiani, Giovanni
Banfi, Giuseppe
Altomare, Gianfranco
Lombardi, Giovanni
Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title_full Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title_fullStr Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title_full_unstemmed Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title_short Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients
title_sort differences in osteoimmunological biomarkers predictive of psoriatic arthritis among a large italian cohort of psoriatic patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888436/
https://www.ncbi.nlm.nih.gov/pubmed/31717649
http://dx.doi.org/10.3390/ijms20225617
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