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...
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doaj-ab8fcbbe63c74c99a2cfbddd43dafeb82020-11-25T00:39:43ZengMDPI AGInternational Journal of Molecular Sciences1422-00672019-11-012022561710.3390/ijms20225617ijms20225617Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic PatientsMarco Diani0Silvia Perego1Veronica Sansoni2Lucrezia Bertino3Marta Gomarasca4Martina Faraldi5Paolo Daniele Maria Pigatto6Giovanni Damiani7Giuseppe Banfi8Gianfranco Altomare9Giovanni Lombardi10Department of Dermatology and Venereology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyDepartment of Clinical and Experimental Medicine, section of Dermatology, University of Messina, 98122 Messina, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyDepartment of Dermatology and Venereology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyDepartment of Dermatology and Venereology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyDepartment of Dermatology and Venereology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, ItalyLaboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy(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.https://www.mdpi.com/1422-0067/20/22/5617psoriasispsoriatic arthritisosteoimmunological markersbone resorption |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marco Diani Silvia Perego Veronica Sansoni Lucrezia Bertino Marta Gomarasca Martina Faraldi Paolo Daniele Maria Pigatto Giovanni Damiani Giuseppe Banfi Gianfranco Altomare Giovanni Lombardi |
spellingShingle |
Marco Diani Silvia Perego Veronica Sansoni Lucrezia Bertino Marta Gomarasca Martina Faraldi Paolo Daniele Maria Pigatto Giovanni Damiani Giuseppe Banfi Gianfranco Altomare Giovanni Lombardi Differences in Osteoimmunological Biomarkers Predictive of Psoriatic Arthritis among a Large Italian Cohort of Psoriatic Patients International Journal of Molecular Sciences psoriasis psoriatic arthritis osteoimmunological markers bone resorption |
author_facet |
Marco Diani Silvia Perego Veronica Sansoni Lucrezia Bertino Marta Gomarasca Martina Faraldi Paolo Daniele Maria Pigatto Giovanni Damiani Giuseppe Banfi Gianfranco Altomare Giovanni Lombardi |
author_sort |
Marco Diani |
title |
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_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_sort |
differences in osteoimmunological biomarkers predictive of psoriatic arthritis among a large italian cohort of psoriatic patients |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2019-11-01 |
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. |
topic |
psoriasis psoriatic arthritis osteoimmunological markers bone resorption |
url |
https://www.mdpi.com/1422-0067/20/22/5617 |
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