ReviewJournal of translational medicine2026
Myalgic encephalomyelitis/chronic fatigue syndrome and fibromyalgia - overlap, differences, and emerging insights.
Review in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between myalgic encephalomyelitis/chronic fatigue syndrome and irritable bowel syndrome: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Epigenome-wide profiling identifies distinct DNA methylation architecture underlying ME/CFS and fibromyalgia symptom burden.Journal of translational medicine · 2026Article
- The Potential Role of Camel Milk in Alleviating Chronic Fatigue Syndrome in Mice: A Network Pharmacology and In Vivo Validation Study.Foods (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundMyalgic 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.
conclusionGiven 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.