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dc.contributor.authorGERRA, MARIA CARLA
dc.contributor.authorCarnevali, Davide
dc.contributor.authorPedersen, Inge Søkilde
dc.contributor.authorDonnini, Claudia
dc.contributor.authormanfredini, matteo
dc.contributor.authorGonzález-Villar, Alberto J.
dc.contributor.authorTriñanes, Yolanda
dc.contributor.authorPidal Miranda, Marina
dc.contributor.authorArendt-Nielsen, Lars
dc.contributor.authorCarrillo de la Peña, María Teresa
dc.date.accessioned2022-02-09T08:37:20Z
dc.date.available2022-02-09T08:37:20Z
dc.date.issued2021
dc.identifier.citationGerra, M., Carnevali, D., Pedersen, I., Donnini, C., Manfredini, M., González-Villar, A., Triñanes, Y., Pidal-Miranda, M., Arendt-Nielsen, L. & Carrillo-de-la-Peña, M. (2021). DNA methylation changes in genes involved in inflammation and depression in fibromyalgia: a pilot study. Scandinavian Journal of Pain, 21(2), 372-383
dc.identifier.issn1877-8879
dc.identifier.urihttp://hdl.handle.net/10347/27517
dc.description.abstractObjectives: The present pilot study aims to investigate DNA methylation changes of genes related to fibromyalgia (FM) development and its main comorbid symptoms, including sleep impairment, inflammation, depression and other psychiatric disorders. Epigenetic modifications might trigger or perpetuate complex interplay between pain transduction/transmission, central pain processing and experienced stressors in vulnerable individuals. Methods: We conducted DNA methylation analysis by targeted bisulfite NGS sequencing testing differential methylation in 112 genomic regions from leukocytes of eight women with FM and their eight healthy sisters as controls. Results: Tests for differentially methylated regions and cytosines brought focus on the GRM2 gene, encoding the metabotropic glutamate receptor2. The slightly increased DNA methylation observed in the GRM2 region of FM patients may confirm the involvement of the glutamate pathway in this pathological condition. Logistic regression highlighted the simultaneous association of methylation levels of depression and inflammation-related genes with FM. Conclusions: Altogether, the results evidence the glutamate pathway involvement in FM and support the idea that a combination of methylated and unmethylated genes could represent a risk factor to FM or its consequence, more than single genes. Further studies on the identified biomarkers could contribute to unravel the causative underlying FM mechanisms, giving reliable directions to research, improving the diagnosis and effective therapies
dc.description.sponsorshipThis study was supported by Spanish Government Funding (Ministerio de Economía y Competitividad: grant PSI2013-45818-R). The genotyping service was carried out at CEGEN-PRB3-ISCIII; it is supported by grant PT17/0019, of the PE I + D + i 2013–2016, funded by ISCIII and ERDF. MCG and LAN are part of the Center for Neuroplasticity and Pain (CNAP) which is supported by the Danish National Research Foundation (DNRF121)
dc.language.isoeng
dc.publisherDe Gruyter
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PSI2013-45818-R/ES/BIOMARCADORES DE FIBROMIALGIA (FM):PERFIL GENETICO,CONTROL INHIBITORIO DEL DOLOR Y PROCESAMIENTO CEREBRAL DE ESTIMULOS DOLOROSOS Y EMOCIONALES EN FM
dc.rights© 2020 Maria Carla Gerra et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
dc.subjectBiomarkers
dc.subjectDNA methylation
dc.subjectEpigenetics
dc.subjectFibromyalgia
dc.titleDNA methylation changes in genes involved in inflammation and depression in fibromyalgia: a pilot study
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.1515/sjpain-2020-0124
dc.relation.publisherversionhttps://doi.org/10.1515/sjpain-2020-0124
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Psicoloxía Clínica e Psicobioloxía
dc.description.peerreviewedSI


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