Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation analysis in women with fibromyalgia

ABSTRACT: FM is a complex syndrome with physiological, genetics and environmental factors involved. It can present changes in functional neuroimaging, in cortical excitability measurements performed by transcranial magnetic stimulation and in grey matter density. Similarly, it has been shown that patients with FM have abnormal autonomic control, inflammatory profile and dysfunctional hypothalamic–pituitary–adrenal axis leading to disruptive sleep and fatigue. We characterized clinical and neurophysiological parameters and peripheral blood DNA methylation profiles of patients with FM and compared them to sex and age matched healthy controls. We hypothesized that these exploratory analyses could provide mechanistic insights into the pathophysiology of FM and possibly contribute to the future development of biological markers of diagnosis.We showed that patients with fibromyalgia have different (mainly hypo-) methylated CpG sites related to genes implicated in immune system and response to external stress pathways and that this methylation profile is related to a dysfunctional connectivity in pain network, adding evidence to consider fibromyalgia as a DOHAD disorder.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85506 | GEO | 2017/08/10

SECONDARY ACCESSION(S): PRJNA338677

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Systematic Analysis of the Cerebrospinal Fluid Proteome of Fibromyalgia patients

Project description:Fibromyalgia (FM) is a syndrome characterized by widespread muscular pain, fatigue and functional symptoms, which is known to be difficult to diagnose as the various symptoms overlap with many other conditions. Currently, there are no biomarkers for FM, and the diagnosis is made subjectively by the clinicians. We have performed shotgun proteomics on cerebrospinal fluid (CSF) from FM patients and non-pain controls to find potential biomarker candidates for this syndrome.

2018-04-25 | PXD008076 | Pride

Effect of subcutaneous tocilizumab on gene expression of neutrophils in fibromyalgia patients

Project description:Differentially expressed genes were identified in neutrophils of 5 primary FM patients, when compared with controls. Differentially expressed genes were also identified in neutrophils of 2 primary FM patients at baseline and 12 weeks after tocilizumab treatment.

2023-04-24 | GSE229750 | GEO

Peripheral Blood Gene Expression in Fibromyalgia Patients Reveals Potential Biological Markers and Physiological Pathways

Project description:Fibromyalgia (FM) is a common pain disorder characterized by dysregulation in the processing of pain. Although FM has similarities with other rheumatologic pain disorders, the search for objective markers has not been successful. In the current study we analyzed gene expression in the whole blood of 70 fibromyalgia patients and 70 healthy matched controls. Global molecular profiling revealed an upregulation of several inflammatory molecules in FM patients and downregulation of specific pathways related to hypersensitivity and allergy. There was a differential expression of genes in known pathways for pain processing, such as glutamine/glutamate signaling and axonal development. We also identified a panel of candidate gene expression-based classifiers that could establish an objective blood-based molecular diagnostic to objectively identify FM patients and guide design and testing of new therapies. Ten classifier probesets (CPA3, C11orf83, LOC100131943, RGS17, PARD3B, ANKRD20A9P, TTLL7, C8orf12, KAT2B and RIOK3) provided a diagnostic sensitivity of 95% and a specificity of 96%. Molecular scores developed from these classifiers were able to clearly distinguish FM patients from healthy controls. An understanding of molecular dysregulation in fibromyalgia is in its infancy; however the results described herein indicate blood global gene expression profiling provides many testable hypotheses that deserve further exploration.

2016-02-01 | GSE67311 | GEO

Identification of a microRNA signature for the diagnosis of fibromyalgia

Project description:To identify changes in miRNA expression profiles (miRNome) of fibromyalgia patients for the development of a quantitative diagnostic method of FM. 20% of the miRNAs analyzed (233/1212) showed down-regulation of at least 2-fold in patients. Hsa-miR223-3p, hsa-miR451a, hsa-miR338-3p, hsa-miR143-3p, hsa-miR145-5p and hsa-miR-21-5p were at least 4-fold inhibited.

2015-06-01 | GSE65033 | GEO

The Correlation among Serum Proteomics and Clinical Profiles in Fibromyalgia Women

Project description:Fibromyalgia (FM) is a multifactorial disorder with unclear pathomechanism. There’s an urgent need to explore the potential biomarkers and correlate with the clinical profiles in FM to facilitate the specific management of FM patients. This study aims to 1) investigate the differential serum proteome profiles in patients with FM and healthy controls and 2) explore the correlation between serum proteome and clinical profiles in FM patients

2020-05-17 | PXD013905 | JPOST Repository

Serum proteomics of sng- and pain-trend fibromyalgia patients

Project description:Fibromyalgia (FM) is a chronic pain condition and consists of widespread pain with similarities to neuropathic pain in clinical findings, pathophysiology, and neuropharmacology. Its mechanisms are poorly understood and a lack of effective biomarkers for diagnosis and onset prediction. This study aimed to identify the metabolites to characterize pain and sngception (Sng) in FM.

2022-08-12 | PXD022886 | Pride

Transcranial current stimulation in the sensorimotor cortex of rats alters the expression of immune-mediating genes

Project description:Transcranial direct current stimulation (tDCS) has been applied in experimental and clinical settings for more than twenty years and may facilitate rehabilitation after stroke as suggested by clinical data (Hummel et al. 2005, Sparing et al. 2009). Intriguingly, tDCS evokes various cellular effects exceeding its primary neurophysiological actions: We previously described subacute effects of tDCS on immune- and stem cells in the rat brain (Rueger et al. 2012, Keuters et al. 2015, Pikhovych et al. 2016, Braun et al. 2016). However, the effects of tDCS on immune-mediating genes have not yet been investigated. To investigate the more immediate effects of tDCS regulating those cellular responses, we treated rats with a single session of either anodal or cathodal tDCS, and analyzed the gene expression by microarray; sham-stimulated rats served as control. We confirmed the effects of gene upregulation by immunohistochemistry at the protein level. We here report for the first time that acute anodal transcranial direct current stimulation enhanced the expression of several genes coding for MHC-I, affecting inflammation and synaptic plasticity (Neumann et al. 1995, Shatz et al. 2009). Moreover, cathodal tDCS increased expression of the gene encoding for the immunoregulatory protein Osteopontin. Osteopontin has beneficial effects on neural stem cells and microglia after brain damage such as stroke (Rabenstein et al. 2015, Rabenstein et al. 2016, Ladwig et al. 2017, Rogall et al. 2017). Overall, our data indicate that a specific modulation of neuroinflammatory processes by non-invasive brain stimulation constitutes a promising therapeutic option with immediate translational relevance.

2019-10-31 | E-MTAB-8318 | biostudies-arrayexpress

DNA Methylation Patterns Associated with Fatigue in Primary SjÃ¶grenâs Syndrome

Project description:Genome-wide analysis of DNA methylation profiles from patients with SjÃ¶gren's syndrome with high versus low fatigue levels using the Illumina Infinium HumanMethylation450 Beadchip array. Background Chronic fatigue is a common, disabling, and poorly understood phenomenon. Recent studies indicate that epigenetic mechanisms may be involved in the expression of fatigue, a prominent feature of primary SjÃ¶grenâs syndrome (pSS). The aim of this study was to investigate whether DNA methylation profiles of whole blood are associated with fatigue in patients with pSS. Methods 48 pSS patients with high (n=24) or low (n=24) fatigue as measured by a visual analogue scale were included. Genome-wide DNA methylation was investigated using the Illumina HumanMethylation450 BeadChip array. Case-case study including SjÃ¶gren's patients with high fatigue (n=24) and patients with low fatigue levels (n=24)

2015-12-04 | E-GEOD-75679 | biostudies-arrayexpress

Transcriptome analysis of circulating monocytes in QFS and CFS compared to various control groups

Project description:Transcriptomes of circulating monocytes in Q fever fatigue syndrome (QFS) patients, chronic fatigue syndrome (CFS) patients, asymptomatic Q fever seropositive controls and healthy controls

2019-05-06 | GSE130353 | GEO

DNA Methylation Patterns Associated with Fatigue in Primary Sjögren’s Syndrome

Project description:Genome-wide analysis of DNA methylation profiles from patients with Sjögren's syndrome with high versus low fatigue levels using the Illumina Infinium HumanMethylation450 Beadchip array. Background Chronic fatigue is a common, disabling, and poorly understood phenomenon. Recent studies indicate that epigenetic mechanisms may be involved in the expression of fatigue, a prominent feature of primary Sjögren’s syndrome (pSS). The aim of this study was to investigate whether DNA methylation profiles of whole blood are associated with fatigue in patients with pSS. Methods 48 pSS patients with high (n=24) or low (n=24) fatigue as measured by a visual analogue scale were included. Genome-wide DNA methylation was investigated using the Illumina HumanMethylation450 BeadChip array.

2015-12-04 | GSE75679 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data