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DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization

Fibromyalgia (FM) has been explained as a result of gene-environment interactions. The present study aims to verify DNA methylation differences in eleven candidate genome regions previously associated to FM, evaluating DNA methylation patterns as potential disease biomarkers. DNA methylation was ana...

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Autores principales: Gerra, Maria Carla, Carnevali, Davide, Ossola, Paolo, González-Villar, Alberto, Pedersen, Inge Søkilde, Triñanes, Yolanda, Donnini, Claudia, Manfredini, Matteo, Arendt-Nielsen, Lars, Carrillo-de-la-Peña, Maria Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584620/
https://www.ncbi.nlm.nih.gov/pubmed/34768513
http://dx.doi.org/10.3390/jcm10214992
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author Gerra, Maria Carla
Carnevali, Davide
Ossola, Paolo
González-Villar, Alberto
Pedersen, Inge Søkilde
Triñanes, Yolanda
Donnini, Claudia
Manfredini, Matteo
Arendt-Nielsen, Lars
Carrillo-de-la-Peña, Maria Teresa
author_facet Gerra, Maria Carla
Carnevali, Davide
Ossola, Paolo
González-Villar, Alberto
Pedersen, Inge Søkilde
Triñanes, Yolanda
Donnini, Claudia
Manfredini, Matteo
Arendt-Nielsen, Lars
Carrillo-de-la-Peña, Maria Teresa
author_sort Gerra, Maria Carla
collection PubMed
description Fibromyalgia (FM) has been explained as a result of gene-environment interactions. The present study aims to verify DNA methylation differences in eleven candidate genome regions previously associated to FM, evaluating DNA methylation patterns as potential disease biomarkers. DNA methylation was analyzed through bisulfite sequencing, comparing 42 FM women and their 42 healthy sisters. The associations between the level of methylation in these regions were further explored through a network analysis. Lastly, a logistic regression model investigated the regions potentially associated with FM, when controlling for sociodemographic variables and depressive symptoms. The analysis highlighted significant differences in the GCSAML region methylation between patients and controls. Moreover, seventeen single CpGs, belonging to other genes, were significantly different, however, only one cytosine related to GCSAML survived the correction for multiple comparisons. The network structure of methylation sites was different for each group; GRM2 methylation represented a central node only for FM patients. Logistic regression revealed that depressive symptoms and DNA methylation in the GRM2 region were significantly associated with FM risk. Our study encourages better exploration of GCSAML and GRM2 functions and their possible role in FM affecting immune, inflammatory response, and central sensitization of pain.
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spelling pubmed-85846202021-11-12 DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization Gerra, Maria Carla Carnevali, Davide Ossola, Paolo González-Villar, Alberto Pedersen, Inge Søkilde Triñanes, Yolanda Donnini, Claudia Manfredini, Matteo Arendt-Nielsen, Lars Carrillo-de-la-Peña, Maria Teresa J Clin Med Article Fibromyalgia (FM) has been explained as a result of gene-environment interactions. The present study aims to verify DNA methylation differences in eleven candidate genome regions previously associated to FM, evaluating DNA methylation patterns as potential disease biomarkers. DNA methylation was analyzed through bisulfite sequencing, comparing 42 FM women and their 42 healthy sisters. The associations between the level of methylation in these regions were further explored through a network analysis. Lastly, a logistic regression model investigated the regions potentially associated with FM, when controlling for sociodemographic variables and depressive symptoms. The analysis highlighted significant differences in the GCSAML region methylation between patients and controls. Moreover, seventeen single CpGs, belonging to other genes, were significantly different, however, only one cytosine related to GCSAML survived the correction for multiple comparisons. The network structure of methylation sites was different for each group; GRM2 methylation represented a central node only for FM patients. Logistic regression revealed that depressive symptoms and DNA methylation in the GRM2 region were significantly associated with FM risk. Our study encourages better exploration of GCSAML and GRM2 functions and their possible role in FM affecting immune, inflammatory response, and central sensitization of pain. MDPI 2021-10-27 /pmc/articles/PMC8584620/ /pubmed/34768513 http://dx.doi.org/10.3390/jcm10214992 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gerra, Maria Carla
Carnevali, Davide
Ossola, Paolo
González-Villar, Alberto
Pedersen, Inge Søkilde
Triñanes, Yolanda
Donnini, Claudia
Manfredini, Matteo
Arendt-Nielsen, Lars
Carrillo-de-la-Peña, Maria Teresa
DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title_full DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title_fullStr DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title_full_unstemmed DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title_short DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization
title_sort dna methylation changes in fibromyalgia suggest the role of the immune-inflammatory response and central sensitization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584620/
https://www.ncbi.nlm.nih.gov/pubmed/34768513
http://dx.doi.org/10.3390/jcm10214992
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