Tag: fibromyalgia

Myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia – overlap, differences, and emerging insights

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM) are debilitating chronic illnesses with considerable symptom overlap. Their symptoms include profound fatigue, widespread pain, post-exertional deterioration, sleep disturbance, dysautonomia, and cognitive impairment. These illnesses frequently co-occur; ME/CFS often develops first, particularly after infection. This overlap creates a diagnostic grey area and contributes to severe reductions in quality of life. Despite these shared features, key distinctions remain essential. ME/CFS is characterised by post-exertional neuroimmune exhaustion (PENE)/post-exertional malaise (PEM), a hallmark of post-exertional worsening and multisystem involvement. Contrastingly, FM centres on chronic widespread pain and symptom variability. It is not characterised by PEM/PENE or the same extent of system dysfunction as ME/CFS. Both disorders lack a definitive biomarker as of 2025. Thus, diagnosis remains clinical and supported by objective tests where available.

Main body: Although immune dysregulation is common in patients with each condition, distinct immune signatures have been observed. ME/CFS is characterised by fluctuating pro- and anti-inflammatory cytokine levels and a frequent reduction in natural killer (NK) cell function; this is consistent with immune exhaustion. Patients with FM exhibit elevated IL-6, IL-17 A, and IL-4 levels, and a broader immune imbalance linked to pain amplification rather than immune collapse. Viral infections do not directly cause either condition, but commonly act as triggers. Shared mechanisms, such as spinal reflex arc activation and microglial sensitisation, suggest a common pathway mediated by proprioceptor-induced microglial activation for chronic pain. ME/CFS causes autoimmunity-like processes, whereas evidence of autoimmune drivers for FM is limited. Gut microbiome studies have revealed reduced microbial diversity in patients with ME/CFS. Moreover, the two disorders are characterised by shared, yet distinct, microbial alterations.

Conclusion: Given the chronic and debilitating nature of ME/CFS and FM, prevention and early intervention remain crucial, but understudied. Health education, workplace adaptations, and early diagnostic pathways may substantially reduce the disease burden. Many patients are outside formal healthcare systems. Therefore, digital tools such as symptom-tracking apps, biosensors, remote testing, and assistive technologies are becoming central to disease management and monitoring. These approaches support a transdiagnostic, patient-centred model capable of addressing both conditions and reaching populations that remain underserved.

Source: Murovska M, Krumina A, Araja D, Kujawski S, Zalewski P, Nora-Krukle Z, Berkis U. Myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia – overlap, differences, and emerging insights. J Transl Med. 2026 Feb 20. doi: 10.1186/s12967-026-07889-6. Epub ahead of print. PMID: 41715182. https://link.springer.com/article/10.1186/s12967-026-07889-6 (Full text available as PDF file)

Use of artificial intelligence and machine learning for the management of fibromyalgia: a scoping review

Abstract:

Background: Fibromyalgia (FM) is a complex and multifactorial syndrome characterized by widespread pain, fatigue, cognitive impairment, and other systemic symptoms. The absence of specific biomarkers and the heterogeneous clinical presentation pose significant diagnostic challenges.

Objective: This scoping review aims to explore the current applications of artificial intelligence (AI) and machine learning (ML) in the diagnosis and clinical management of FM.

Methods: A systematic search was conducted in PubMed, EMBASE, and the Cochrane Library using defined keywords related to FM and AI/ML. Studies were included if they addressed ML applications in FM patients. Following PRISMA-ScR guidelines, 43 studies published between 2011 and 2024 were included and analyzed for ML techniques used, diagnostic targets, data types, and clinical relevance.

Results: As expected, the majority of studies done so far focused on improving diagnostic accuracy through supervised algorithms such as support vector machines, neural networks, and ensemble models, as well as unsupervised clustering and dimensionality reduction techniques. Notable findings include the identification of neurophysiological signatures via fMRI, gene expression patterns, retinal imaging changes, and metabolomic biomarkers that distinguish FM patients from controls. For instance, one study investigating circulating microRNAs used a Random Forest model to identify 11 microRNAs (e.g. hsa-miR-28-5p, hsa-miR-29a-3p, hsa-miR-150-5p) capable of differentiating patients with FM, ME/CFS, and healthy controls, suggesting their potential as biomarkers for more accurate diagnoses. Reported model accuracies ranged from 82% to 100%, although most studies were pilot-based with small and imbalanced samples, limiting generalizability.

Conclusion: AI and ML offer promising tools to overcome longstanding limitations in FM diagnosis and treatment. While current findings demonstrate significant potential, larger, multicenter studies with rigorous validation protocols are essential to finally establish these approaches as clinically reliable solutions.

Source: Clempi Almeida E Silva AL, Reis VHPF, Lamoglia ASA, Souza Desidério C, Freire Oliveira CJ. Use of artificial intelligence and machine learning for the management of fibromyalgia: a scoping review. J Man Manip Ther. 2026 Feb 17:1-17. doi: 10.1080/10669817.2026.2630999. Epub ahead of print. PMID: 41700030. https://pubmed.ncbi.nlm.nih.gov/41700030/

Hypermethylation of OPRM1: Deregulation of the Endogenous Opioid Pathway in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM) are debilitating disorders with overlapping symptoms such as chronic pain and fatigue. Dysregulation of the endogenous opioid system, particularly µ-opioid receptor function, may contribute to their pathophysiology. This study examined whether epigenetic modifications, specifically µ-opioid receptor 1 gene (OPRM1) promoter methylation, play a role in this dysfunction.
Using a repeated-measures design, 28 ME/CFS/FM patients and 26 matched healthy controls visited the hospital twice within four days. Assessments included blood sampling for epigenetic analysis, a clinical questionnaire battery, and quantitative sensory testing (QST). Global DNA (hydroxy)methylation was quantified via liquid chromatography–tandem mass spectrometry, and targeted pyrosequencing was performed on promoter regions of OPRM1, COMT, and BDNF. ME/CFS/FM patients reported significantly worse symptom outcomes.
No differences in global (hydroxy)methylation were found. Patients showed significantly higher OPRM1 promoter methylation, which remained after adjusting for symptom severity and QST findings. Across timepoints, OPRM1 methylation consistently correlated with BDNF Promoter I and Exon III methylation. This is, to the best of our knowledge, the first study examining OPRM1 methylation in ME/CFS/FM. Increased OPRM1 methylation in patients, independent of symptoms or pain sensitivity measures, supports the hypothesis of dysregulated opioidergic signaling in these conditions.
Source: Wyns A, Hendrix J, Van Campenhout J, Buntinx Y, Xiong H-Y, De Bruyne E, Godderis L, Nijs J, Rice D, Chiang D, et al. Hypermethylation of OPRM1: Deregulation of the Endogenous Opioid Pathway in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia. International Journal of Molecular Sciences. 2026; 27(2):826. https://doi.org/10.3390/ijms27020826  https://www.mdpi.com/1422-0067/27/2/826 (Full text)

The Gut-Brain-Immune Axis in Environmental Sensitivity Illnesses: Microbiome-Centered Narrative Review of Fibromyalgia Syndrome, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, and Multiple Chemical Sensitivity

Abstract:

Environmental sensitivity illnesses-including fibromyalgia syndrome (FMS), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and multiple chemical sensitivity (MCS)-are chronic, disabling disorders characterized by hypersensitivity to environmental stimuli, persistent fatigue, widespread pain, and neurocognitive and autonomic dysfunction. Although their diagnostic criteria differ, increasing evidence suggests overlapping clinical features and shared biological mechanisms. A unifying hypothesis highlights the gut-brain-immune axis, where alterations in the intestinal microbiome, epithelial barrier dysfunction, and aberrant immune signaling interact with central sensitization and systemic metabolic dysregulation.

Recent studies demonstrate reduced microbial diversity, depletion of anti-inflammatory taxa (e.g., Faecalibacterium prausnitzii, Bifidobacterium), and enrichment of pro-inflammatory Clostridium species across these conditions. These shifts likely alter production of short-chain fatty acids, amino acid metabolites, and complex lipids, with downstream effects on mitochondrial function, neuroinflammation, and host energy metabolism. Moreover, emerging clinical interventions-including probiotics, prebiotics, synbiotics, and fecal microbiota transplantation-suggest a potential role for microbiome-targeted therapies, though controlled evidence remains limited.

This review synthesizes current knowledge on microbiome alterations in FMS, ME/CFS, and MCS, emphasizing their convergence on metabolic and immune pathways. By integrating microbial, immunological, and neurophysiological perspectives, we propose a microbiome-centered framework for understanding environmental sensitivity illnesses and highlight avenues for translational research and therapeutic innovation.

Source: Watai K, Taniguchi M, Azuma K. The Gut-Brain-Immune Axis in Environmental Sensitivity Illnesses: Microbiome-Centered Narrative Review of Fibromyalgia Syndrome, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, and Multiple Chemical Sensitivity. Int J Mol Sci. 2025 Oct 14;26(20):9997. doi: 10.3390/ijms26209997. PMID: 41155291. https://www.mdpi.com/1422-0067/26/20/9997 (Full text)

The genetic architecture of fibromyalgia across 2.5 million individuals

Abstract:

Fibromyalgia is a common and debilitating chronic pain syndrome of poorly understood etiology. Here, we conduct a multi-ancestry genome-wide association study meta-analysis across 2,563,755 individuals (54,629 cases and 2,509,126 controls) from 11 cohorts, identifying the first 26 risk loci for fibromyalgia.

The strongest association was with a coding variant in HTT , the causal gene for Huntington’s disease. Gene prioritization implicated the HTT regulator GPR52 , as well as diverse genes with neural roles, including CAMKV ,  DCC ,  DRD2 / NCAM1 ,   MDGA2 , and CELF4 . Fibromyalgia heritability was exclusively enriched within brain tissues and neural cell types.

Fibromyalgia showed strong, positive genetic correlation with a wide range of chronic pain, psychiatric, and somatic disorders, including genetic correlations above 0.7 with low back pain, post-traumatic stress disorder and irritable bowel syndrome. Despite large sex differences in fibromyalgia prevalence, the genetic architecture of fibromyalgia was nearly identical between males and females.

This work provides the first robust genetic evidence defining fibromyalgia as a central nervous system disorder, thereby establishing a biological framework for its complex pathophysiology and extensive clinical comorbidities.

Source: Kerrebijn I, Bjornsdottir G, Arbabi K, Urpa L, Haapaniemi H, Thorleifsson G, Stefansdottir L, Frangakis S, Valliere J, Kunorozva L, Abner E, Ji C, Aagaard B, Bliddal H, Brunak S, Bruun MT, Didriksen M, Erikstrup C, Geirsson AJ, Gudbjartsson DF, Hansen TF, Jonsdottir I, Knight S, Knowlton KU, Mikkelsen C, Nadauld LD, Olafsdottir TA, Ostrowski SR, Pedersen OB, Saevarsdottir S, Skuladottir AT, Sørensen E, Stefansson H, Sulem P, Sveinsson OA, Thorlacius GE, Thorsteinsdottir U, Ullum H, Vikingsson A, Werge TM; Chronic Pain Genomics Consortium; FinnGen; DBDS Genomic Consortium; Estonian Biobank Research Team; Genes & Health Research Team; Saxena R, Stefansson K, Brummett CM, Glintborg B, Clauw DJ, Thorgeirsson TE, Williams FM, Sinnott-Armstrong N, Ollila HM, Wainberg M. The genetic architecture of fibromyalgia across 2.5 million individuals. medRxiv [Preprint]. 2025 Sep 19:2025.09.18.25335914. doi: 10.1101/2025.09.18.25335914. PMID: 41001472; PMCID: PMC12458511. https://pmc.ncbi.nlm.nih.gov/articles/PMC12458511/ (Full text available as PDF file)

Circulating FGF-21 as a Disease-Modifying Factor Associated with Distinct Symptoms and Cognitive Profiles in Myalgic Encephalomyelitis and Fibromyalgia

Abstract:

Myalgic encephalomyelitis (ME) and fibromyalgia (FM) are overlapping syndromes characterized by persistent fatigue, cognitive difficulties, and post-exertional malaise (PEM), yet they lack objective biomarkers for diagnosis and treatment. Fibroblast growth factor 21 (FGF-21), a stress-responsive metabolic hormone, may offer a promising avenue to distinguish subtypes within these patient populations.

In this cross-sectional study, plasma FGF-21 levels were measured in 250 patients (FM = 47; ME = 99; ME + FM = 104) and 54 healthy controls. Participants were categorized based on FGF-21 levels into three groups: low (0-50 pg/mL), normal (51-200 pg/mL), and high (>200 pg/mL). Symptoms burden and cognitive function were assessed using validated questionnaires (SF-36, MFI-20, DSQ, DPEMQ) and the BrainCheck platform. A standardized mechanical provocation maneuver was used to induce PEM.

Results showed that elevated FGF-21 levels were frequently observed in ME and ME + FM but varied widely across all groups. Stratification by circulating FGF-21 levels, rather than diagnosis alone, revealed distinct symptom and cognitive profiles. Low FGF-21 levels were linked to worsened PEM perception in FM, increased PEM severity and immune/autonomic symptoms in ME, and poorer mental health in ME + FM. Conversely, high FGF-21 levels correlated with better cognition in ME but greater fatigue in ME + FM.

These findings suggest that FGF-21 may serve as a valuable biomarker for identifying clinically meaningful subtypes within ME and FM, supporting the development of personalized treatments. Furthermore, discrepancies between DSQ and DPEMQ highlight the need for objective PEM assessment tools. Overall, FGF-21 shows potential as a biomarker to guide precision medicine in these complex conditions.

Source: Azimi G, Elremaly W, Elbakry M, Franco A, Godbout C, Moreau A. Circulating FGF-21 as a Disease-Modifying Factor Associated with Distinct Symptoms and Cognitive Profiles in Myalgic Encephalomyelitis and Fibromyalgia. Int J Mol Sci. 2025 Aug 8;26(16):7670. doi: 10.3390/ijms26167670. PMID: 40868993. https://www.mdpi.com/1422-0067/26/16/7670 (Full text)

Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study

Abstract:

Background: Functional disorders share familial risk with internalizing disorders such as generalized anxiety disorder and depression, and are comorbid with cardiometabolic and immune-related diseases. We investigated whether functional and internalizing disorders co-aggregate with these diseases in families to gain insight into the aetiology of functional and internalizing disorders.

Methods: We included 166,774 subjects (aged 3-94), from the population-based Lifelines Cohort Study, a Dutch general population cohort. We defined cases for three functional disorders (myalgic encephalomyelitis/chronic fatigue syndrome; ME/CFS, fibromyalgia, and irritable bowel syndrome; IBS), two internalizing disorders (major depressive disorder; MDD and generalized anxiety disorder; GAD), cardiometabolic diseases (obesity, metabolic associated steatotic liver disease, type 2 diabetes, hypertension and cardiovascular disease) and immune-related diseases (composite measures of auto-immune disease and atopy). We used logistic regression to model the prevalence of these disorders in the general population and in participants with affected relatives. Using these prevalence estimates, we assessed familial co-aggregation with (1) recurrence risk ratios (λR), and (2) familial correlations (rf).

Results: All functional and internalizing disorders co-aggregated with immune-related diseases (λR range 1.06-1.24). ME/CFS, FM, and MDD co-aggregated with most cardiometabolic diseases (λR range 1.00-1.23). MDD, fibromyalgia, and ME/CFS showed similar familial correlation patterns with both disease groups (rf range 0.12-0.44), while patterns of IBS and GAD were more variable.

Conclusions: Internalizing and functional disorders share familial risk with immune-related and cardiometabolic diseases. This suggests that risk factors relevant to immune-related and cardiometabolic diseases may also be relevant for FDs. Future studies should investigate such risk factors to identify novel treatment targets.

Source: Steen OD, Bos M, van Ockenburg SL, Zhou Y, Nolte IM, Snieder H, Kendler K, Rosmalen JGM, van Loo HM. Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study. BMC Med. 2025 Aug 11;23(1):469. doi: 10.1186/s12916-025-04293-7. PMID: 40784894. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-025-04293-7 (Full text)

Inflammation and Interferon Signatures in Peripheral B-Lymphocytes and Sera of Individuals With Fibromyalgia

Abstract:

Fibromyalgia (FM) is an idiopathic chronic disease characterized by widespread musculoskeletal pain, hyperalgesia and allodynia, often accompanied by fatigue, cognitive dysfunction and other symptoms. Autoimmunity and neuroinflammatory mechanisms have been suggested to play important roles in the pathophysiology of FM supported by recently identified interferon signatures in affected individuals. However, the contribution of different components in the immune system, such as the B-lymphocytes, in the progression to FM are yet unknown. Furthermore, there is a great need for biomarkers that may improve diagnostics of FM. Herein, we investigated the gene expression profile in peripheral B-cells, as well as a panel of inflammatory serum proteins, in 30 FM patients and 23 healthy matched control individuals. RNA sequence analysis revealed 60 differentially expressed genes when comparing the two groups.

The group of FM patients showed increased expression of twenty-five interferon-regulated genes, such as S100A8 and S100A9, VCAM, CD163, SERPINA1, ANXA1, and an increased interferon score. Furthermore, FM was associated with elevated levels of 19 inflammatory serum proteins, such as IL8, AXIN1, SIRT2 and STAMBP, that correlated with the FM severity score.

Together, the results shows that FM is associated with an interferon signature in B-cells and increased levels of a set of inflammatory serum proteins. Our findings bring further support for immune activation in the pathogenesis of FM and highlight candidate biomarkers for diagnosis and intervention in the management of FM.

Source: Fineschi S, Klar J, Gustafsson KA, Jonsson K, Karlsson B, Dahl N. Inflammation and Interferon Signatures in Peripheral B-Lymphocytes and Sera of Individuals With Fibromyalgia. Front Immunol. 2022 May 26;13:874490. doi: 10.3389/fimmu.2022.874490. PMID: 35693781; PMCID: PMC9177944. https://pmc.ncbi.nlm.nih.gov/articles/PMC9177944/ (Full text)

Defective peripheral B cell tolerance leads to dysregulated B cell responses in Fibromyalgia Syndrome

Abstract:

Fibromyalgia syndrome (FMS) is a chronic pain disorder characterised by widespread musculoskeletal pain, fatigue, and cognitive dysfunction, with no definitive biomarkers or mechanism-based treatments. Emerging evidence suggests that immune dysregulation may contribute to the FMS pathogenesis, particularly involving B cells, which have been implicated in autoantibody production and neuronal sensitisation. However, whether peripheral B cell tolerance, a critical safeguard against autoimmunity, is compromised in FMS remains unknown. Here, we combined high-resolution B cell receptor (BCR) repertoire sequencing, deep immunophenotyping, and functional assays in a well-characterised FMS cohort to uncover profound defects in peripheral B cell tolerance.

We reveal significant defects in peripheral B cell tolerance in FMS, including: (1) impaired naïve B cell anergy, marked by elevated CD21, CD22, and CD24 expression; (2) exaggerated proliferative responses and rapid CD24 downregulation upon stimulation; and (3) altered BCR selection patterns, with increased IGHV6-1/IGHJ6 usage, skewed class switching toward IGHA1, and enhanced clonal expansion. These features closely resemble immune pathology profiles observed in classical autoimmune diseases.

These findings redefine FMS as a disorder of immune dysregulation, with defective B cell tolerance contributing to disease mechanisms. The convergence of interferon-driven B cell activation, clonal expansion, and autoantibody production suggests shared pathways with classical autoimmune diseases. Our study provides a foundation for mechanism-based diagnostics and targeted immunomodulatory therapies, offering new avenues for intervention in this debilitating condition.

Source: Rachael Bashford-Rogers, Alexander Long, Antonio Choi Chiu et al. Defective peripheral B cell tolerance leads to dysregulated B cell responses in Fibromyalgia Syndrome, 18 June 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-6836742/v1] https://www.researchsquare.com/article/rs-6836742/v1 (Full text)

The sensitising effect of IgG in fibromyalgia syndrome is mediated by Mrgprb2 in mast cells

Abstract:

Fibromyalgia syndrome (FMS) is characterized by elevated levels of immunoglobulin G (IgG), altered bowel habits, and increased pain sensitivity, suggesting immune dysregulation, but the exact mechanism remains unclear. Here, we found that FMS-IgG binds to mast cells in a MRGPRX2/b2-dependent manner, leading to mast cell recruitment and IL-6 secretion.

Transferring serum-IgG from FMS patients to mice induced FMS-like symptoms and increased skin mast cells, indicating that FMS-IgG acts through mast cell activation. The ablation of mice Mrgprb2 mast cells or deleting Mrgprb2 receptors prevented IgG-induced heightened sensitivity to mechanical and cold stimuli. Stimulating human LAD2 cells with FMS IgG elicited MRGPRX2-dependent IL-6 production. Consistent with mice findings, mast cell density and tryptase levels increased in human FMS skin samples compared to healthy controls.

Taken together our results suggests that FMS IgG mediates hypersensitivity via activation of mast cells bearing the MRGPRX2 receptor and that these cells are a potential therapeutic target.

Source: Karla R. Sanchez, Jamie Burgess, Qin Zheng, Uazman Alam, Harvey Neiland, Richard Berwick, David Andersson, Samantha Korver, Anne Marshall, Andreas Goebel, Xinzhong Dong. The sensitising effect of IgG in fibromyalgia syndrome is mediated by Mrgprb2 in mast cells. bioRxiv 2025.05.15.652596; doi: https://doi.org/10.1101/2025.05.15.652596 https://www.biorxiv.org/content/10.1101/2025.05.15.652596v1.full (Full text)