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Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis

INTRODUCTION: Psoriatic Arthritis (PsA) is a multifactorial disease, where the relative burden of genetic, epigenetic and environmental factors in clinical course and damage accrual is not yet definitively clarified. In clinical practice, there is a real need for useful candidate biomarkers in PsA d...

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Autores principales: Angioni, Maria Maddalena, Floris, Alberto, Cangemi, Ignazio, Congia, Mattia, Chessa, Elisabetta, Orrù, Sandro, Piga, Matteo, Cauli, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939499/
https://www.ncbi.nlm.nih.gov/pubmed/33692638
http://dx.doi.org/10.2147/OARRR.S291391
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author Angioni, Maria Maddalena
Floris, Alberto
Cangemi, Ignazio
Congia, Mattia
Chessa, Elisabetta
Orrù, Sandro
Piga, Matteo
Cauli, Alberto
author_facet Angioni, Maria Maddalena
Floris, Alberto
Cangemi, Ignazio
Congia, Mattia
Chessa, Elisabetta
Orrù, Sandro
Piga, Matteo
Cauli, Alberto
author_sort Angioni, Maria Maddalena
collection PubMed
description INTRODUCTION: Psoriatic Arthritis (PsA) is a multifactorial disease, where the relative burden of genetic, epigenetic and environmental factors in clinical course and damage accrual is not yet definitively clarified. In clinical practice, there is a real need for useful candidate biomarkers in PsA diagnosis and disease progression, by exploring its underlying transcriptomic and epigenomic mechanisms. This work aims to profile the transcriptome in monozygotic (MZ) twins with psoriatic arthritis (PsA) highly concordant for clinical presentation, but discordant for the radiographic outcomes’ severity. METHODS: We describe i) the clinical case of two MZ twins; ii) their comparative gene expression profiling (HTA 2.0 Affymetrix) and iii) signal pathways and pathophysiological processes in which differentially expressed genes are involved (in silico analysis by the IPA software, QIAGEN). RESULTS: One hundred sixty-three transcripts and 36 coding genes (28 up and 8 down) were differentially expressed between twins, and in the brother with the most erosive form, the transcriptomic profiling highlights the overexpression of genes known to be involved in immunomodulatory processes and on a broad spectrum of PsA manifestations. DISCUSSION: Twins’ clinical cases are still a gold mine in medical research: twin brothers are ideal experimental models in estimating the relative importance of genetic versus nongenetic components as determinants of complex phenotypes, non-Mendelian and multifactorial diseases as PsA.
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spelling pubmed-79394992021-03-09 Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis Angioni, Maria Maddalena Floris, Alberto Cangemi, Ignazio Congia, Mattia Chessa, Elisabetta Orrù, Sandro Piga, Matteo Cauli, Alberto Open Access Rheumatol Original Research INTRODUCTION: Psoriatic Arthritis (PsA) is a multifactorial disease, where the relative burden of genetic, epigenetic and environmental factors in clinical course and damage accrual is not yet definitively clarified. In clinical practice, there is a real need for useful candidate biomarkers in PsA diagnosis and disease progression, by exploring its underlying transcriptomic and epigenomic mechanisms. This work aims to profile the transcriptome in monozygotic (MZ) twins with psoriatic arthritis (PsA) highly concordant for clinical presentation, but discordant for the radiographic outcomes’ severity. METHODS: We describe i) the clinical case of two MZ twins; ii) their comparative gene expression profiling (HTA 2.0 Affymetrix) and iii) signal pathways and pathophysiological processes in which differentially expressed genes are involved (in silico analysis by the IPA software, QIAGEN). RESULTS: One hundred sixty-three transcripts and 36 coding genes (28 up and 8 down) were differentially expressed between twins, and in the brother with the most erosive form, the transcriptomic profiling highlights the overexpression of genes known to be involved in immunomodulatory processes and on a broad spectrum of PsA manifestations. DISCUSSION: Twins’ clinical cases are still a gold mine in medical research: twin brothers are ideal experimental models in estimating the relative importance of genetic versus nongenetic components as determinants of complex phenotypes, non-Mendelian and multifactorial diseases as PsA. Dove 2021-03-04 /pmc/articles/PMC7939499/ /pubmed/33692638 http://dx.doi.org/10.2147/OARRR.S291391 Text en © 2021 Angioni et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Angioni, Maria Maddalena
Floris, Alberto
Cangemi, Ignazio
Congia, Mattia
Chessa, Elisabetta
Orrù, Sandro
Piga, Matteo
Cauli, Alberto
Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title_full Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title_fullStr Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title_full_unstemmed Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title_short Gene Expression Profiling of Monozygotic Twins Affected by Psoriatic Arthritis
title_sort gene expression profiling of monozygotic twins affected by psoriatic arthritis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939499/
https://www.ncbi.nlm.nih.gov/pubmed/33692638
http://dx.doi.org/10.2147/OARRR.S291391
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