Human herpesvirus-6B infection and alterations of gut microbiome in patients with fibromyalgia: a pilot study
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB80379 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Fibromyalgia Microbiome Analysis: data from Ebiomedicine paper "Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia" by Clos-Garcia, M. et al.
| PRJEB27227 | ENA
Project description:Fibromyalgia is a chronic pain syndrome characterized by widespread pain. The pathophysiology of fibromyalgia is not clearly understood and there are no specific biomarkers available for accurate diagnosis. Here we define genomic signatures using high throughput RNA sequencing on 96 fibromyalgia and 93 matched controls. Our findings revealed two major fibromyalgia-associated expression signatures. The first group included 44 patients with a signature enriched for gene expression associated with extracellular matrix and downregulation of RhoGDI signaling pathway. The second group included 31 patients and showed a profound reduction in the expression of inflammatory mediators with an increased expression of genes involved in the CLEAR signaling pathway. These results suggest defective tissue homeostasis associated with the extra-cellular matrix and cellular program that regulates lysosomal biogenesis and participates in macromolecule clearance in fibromyalgia. Further elucidation of these pathways will lead to development of accurate diagnostic markers, and effective therapeutic options for fibromyalgia.
2024-02-21 | GSE221921 | GEO
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
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
Project description:Fibromyalgia is a complex disorder characterized by increased sensitivity to pain and extreme tiredness. It affects mostly women, and its causes are unknown.
In this study we have performed exome sequencing of 87 fibromyalgia cases, including some sibling pairs, to perform rare variant association analysis and identify fibromyalgia risk factors.
A few of the included samples have been also included in a previous GWAS study.
| EGAS00001003826 | EGA
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
Project description: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.
2017-08-10 | GSE85506 | GEO
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
Project description:Fibromyalgia (FM), classified by ICD-11 with code MG30.0, is a chronic debilitating disease characterized by wide-spread pain, fatigue, cognitive impairment, sleep and intestinal alterations, among other. FM affects a large proportion of the world-wide population, with increased prevalence among women. The lack of understanding of its etiology and pathophysiology hampers the development of effective treatments. Our group had developed a manual therapy (MT) pressure-controlled custom manual protocol on FM showing hyperalgesia/allodynia, fatigue and patient’s quality of life benefits in a cohort of 38 FM cases (NCT04174300). With the aim of understanding the therapeutic molecular mechanisms triggered by MT, this study interrogated PBMC transcriptomes from FM participants of this clinical trial using RNAseq and RT-qPCR technologies. The results showed that the salt-induced kinase SIK1 gene was consistently downregulated by MT in FM, correlating with improvement of patient symptoms. In addition, the study compared the findings in a non-FM control cohort subjected to the same MT protocol evidencing that changes in SIK1 expression with MT only occurred in individuals with FM. This positions SIK1 as a potential biomarker to monitor response to MT, and as a therapeutic target of FM, to be further explored by continuation studies. Keywords: fibromyalgia; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS); pressure point threshold (PPT); physiotherapy; manual therapy (MT); NCT04174300; SIK1
2024-09-11 | GSE274134 | GEO
Project description:Metabolic syndrome (MetSyn) has a rapidly growing worldwide prevalence, affecting over 1 billion people. MetSyn is clustering many pathological conditions, which, untreated, could increase the risk and often lead to more severe metabolic defects such as type 2 diabetes and non-alcoholic fatty liver disease. Many data demonstrate the complex role of gut microbiota in the host metabolism, and hence, deciphering the microbiome patterns linked to MetSyn could enable us for novel diagnosis and monitoring markers and for better disease management. Moreover, interventions designed to alter patient microbiome composition may help prevent or decrease morbidity linked with MetSyn. However, the microbiome composition is largely different across geographically distinct populations. Our study investigated the microbiota and mycobiome patterns in Romanian metabolic syndrome patients. We also correlated the identified microbiome-mycobiome patterns with levels of metabolites important for host health such as short chain fatty acids, organic acids, and taurine. We found that MetSyn patients are harboring a microbiome enriched in Enterobacteriaceae, Turicibacter sp., Clostridium coccoides, and Clostridium leptum, while beneficial taxa such as Butyricicoccus sp., Akkermansia muciniphila, and Faecalibacterium prausnitzii were decreased. These microbiome changes were correlated with lower butyrate levels and increased succinate. In terms of mycobiome signatures, MetSyn was associated with a high abundance of Saccharomyces and Aspergillus species. Our data are the first reported on a Romanian population and confirming that the pathogenesis of MetSyn is closely related to gut microbiome and homeostasis.
| S-EPMC8951583 | biostudies-literature