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Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers

Fibromyalgia is a disease characterized by chronic widespread pain with additional symptoms, such as joint stiffness, fatigue, sleep disturbance, cognitive dysfunction, and depression. Currently, fibromyalgia diagnosis is based exclusively on a comprehensive clinical assessment, according to 2016 AC...

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Autores principales: D’Agnelli, Simona, Arendt-Nielsen, Lars, Gerra, Maria C, Zatorri, Katia, Boggiani, Lorenzo, Baciarello, Marco, Bignami, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322092/
https://www.ncbi.nlm.nih.gov/pubmed/30486733
http://dx.doi.org/10.1177/1744806918819944
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author D’Agnelli, Simona
Arendt-Nielsen, Lars
Gerra, Maria C
Zatorri, Katia
Boggiani, Lorenzo
Baciarello, Marco
Bignami, Elena
author_facet D’Agnelli, Simona
Arendt-Nielsen, Lars
Gerra, Maria C
Zatorri, Katia
Boggiani, Lorenzo
Baciarello, Marco
Bignami, Elena
author_sort D’Agnelli, Simona
collection PubMed
description Fibromyalgia is a disease characterized by chronic widespread pain with additional symptoms, such as joint stiffness, fatigue, sleep disturbance, cognitive dysfunction, and depression. Currently, fibromyalgia diagnosis is based exclusively on a comprehensive clinical assessment, according to 2016 ACR criteria, but validated biological biomarkers associated with fibromyalgia have not yet been identified. Genome-wide association studies investigated genes potentially involved in fibromyalgia pathogenesis highlighting that genetic factors are possibly responsible for up to 50% of the disease susceptibility. Potential candidate genes found associated to fibromyalgia are SLC64A4, TRPV2, MYT1L, and NRXN3. Furthermore, a gene-environmental interaction has been proposed as triggering mechanism, through epigenetic alterations: In particular, fibromyalgia appears to be characterized by a hypomethylated DNA pattern, in genes implicated in stress response, DNA repair, autonomic system response, and subcortical neuronal abnormalities. Differences in the genome-wide expression profile of microRNAs were found among multiple tissues, indicating the involvement of distinct processes in fibromyalgia pathogenesis. Further studies should be dedicated to strength these preliminary findings, in larger multicenter cohorts, to identify reliable directions for biomarker research and clinical practice.
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spelling pubmed-63220922019-01-14 Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers D’Agnelli, Simona Arendt-Nielsen, Lars Gerra, Maria C Zatorri, Katia Boggiani, Lorenzo Baciarello, Marco Bignami, Elena Mol Pain Review Article Fibromyalgia is a disease characterized by chronic widespread pain with additional symptoms, such as joint stiffness, fatigue, sleep disturbance, cognitive dysfunction, and depression. Currently, fibromyalgia diagnosis is based exclusively on a comprehensive clinical assessment, according to 2016 ACR criteria, but validated biological biomarkers associated with fibromyalgia have not yet been identified. Genome-wide association studies investigated genes potentially involved in fibromyalgia pathogenesis highlighting that genetic factors are possibly responsible for up to 50% of the disease susceptibility. Potential candidate genes found associated to fibromyalgia are SLC64A4, TRPV2, MYT1L, and NRXN3. Furthermore, a gene-environmental interaction has been proposed as triggering mechanism, through epigenetic alterations: In particular, fibromyalgia appears to be characterized by a hypomethylated DNA pattern, in genes implicated in stress response, DNA repair, autonomic system response, and subcortical neuronal abnormalities. Differences in the genome-wide expression profile of microRNAs were found among multiple tissues, indicating the involvement of distinct processes in fibromyalgia pathogenesis. Further studies should be dedicated to strength these preliminary findings, in larger multicenter cohorts, to identify reliable directions for biomarker research and clinical practice. SAGE Publications 2018-11-29 /pmc/articles/PMC6322092/ /pubmed/30486733 http://dx.doi.org/10.1177/1744806918819944 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review Article
D’Agnelli, Simona
Arendt-Nielsen, Lars
Gerra, Maria C
Zatorri, Katia
Boggiani, Lorenzo
Baciarello, Marco
Bignami, Elena
Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title_full Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title_fullStr Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title_full_unstemmed Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title_short Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
title_sort fibromyalgia: genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322092/
https://www.ncbi.nlm.nih.gov/pubmed/30486733
http://dx.doi.org/10.1177/1744806918819944
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