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Encephalomyelitis

Infectious Diseases · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

A general term indicating inflammation of the brain and spinal cord, often used to indicate an infectious process, but also applicable to a variety of autoimmune and toxic-metabolic conditions.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (801 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A general term indicating inflammation of the brain and spinal cord, often used to indicate an infectious process, but also applicable to a variety of autoimmune and toxic-metabolic conditions. There is significant overlap regarding the usage of this term and encephalitis in the literature.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Myeloencephalitis; Myeloencephalitides; Encephalomyelitis, Inflammatory; Inflammatory Encephalomyelitis.

Where it fits in the MeSH classification

Broader topics
Central Nervous System Infections; Neuroinflammatory Diseases
Narrower topics
Encephalomyelitis, Equine; Fatigue Syndrome, Chronic
See also
Encephalitis

Related concepts

  • Brain
  • Spinal Cord
  • Encephalitis

Research landscape

PubMed indexes 12,699 records tagged with the MeSH heading “Encephalomyelitis” (counts retrieved 2026-10-29). 1,721 of them (13.6%) were published from 2020 onward, and the busiest period so far is through 1999 with 5,919 records.

Reviews account for 1,635 records (12.9%) and meta-analyses for 74. Randomized controlled trials number 336 (2.6%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 5,919 records; 2000-2009: 2,480 records; 2010-2019: 2,579 records; 2020 onward: 1,721 records5,919through 19992,4802000-20092,5792010-20191,7212020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19995,919
2000-20092,480
2010-20192,579
2020 onward1,721
Share of records by publication typeReviews: 12.9 percent; Meta-analyses: 0.6 percent; Randomized controlled trials: 2.6 percentReviews12.9% (1,635)Meta-analyses0.6% (74)Randomized controlled trials2.6% (336)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 12,699 PubMed records
TypeRecordsShare
Reviews1,63512.9%
Meta-analyses740.6%
Randomized controlled trials3362.6%

Method: PubMed query "Encephalomyelitis"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in infectious diseases

Infectious disease evidence combines microbiology, epidemiology and clinical trials. Laboratory studies identify pathogens and how they cause harm; surveillance and outbreak investigations describe who is affected and how infection spreads; trials establish whether treatments and vaccines work. Results depend on place and time, because pathogens evolve and resistance patterns and population immunity change. Check when and where the data were collected, how cases were defined and how up to date the evidence is.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Deep phenotyping of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome
Walitt B, Singh K, LaMunion SR, Hallett M, Jacobson S, Chen K, et al.
2024Research article
Design not recorded in structured metadata
122cc by
PMID 38383456 · DOI · PMC10881493
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: the biology of a neglected disease
Arron HE, Marsh BD, Kell DB, Khan MA, Jaeger BR, Pretorius E
2024Review article
Design not recorded in structured metadata
93cc by
PMID 38887284 · DOI · PMC11180809
Metabolomic and immune alterations in long COVID patients with chronic fatigue syndrome
Saito S, Shahbaz S, Luo X, Osman M, Redmond D, Cohen Tervaert JW, et al.
2024Research article
Design not recorded in structured metadata
72cc by
PMID 38304426 · DOI · PMC10830702
Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest
Charlton BT, Slaghekke A, Appelman B, Eggelbusch M, Huijts JY, Noort W, et al.
2026Research article
Design not recorded in structured metadata
5cc by
PMID 42649155 · DOI · PMC13518852

Deep phenotyping of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome [1]

Research article Walitt B, Singh K, LaMunion SR, Hallett M, Jacobson S, Chen K, et al. · · 2024 · cited 122 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (PI-ME/CFS) is a disabling disorder, yet the clinical phenotype is poorly defined, the pathophysiology is unknown, and no disease-modifying treatments are available.
Closing excerpt
Together these clinical abnormalities and biomarker differences provide unique insight into the underlying pathophysiology of PI-ME/CFS, which may guide future intervention.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (150 words)

Post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (PI-ME/CFS) is a disabling disorder, yet the clinical phenotype is poorly defined, the pathophysiology is unknown, and no disease-modifying treatments are available. We used rigorous criteria to recruit PI-ME/CFS participants with matched controls to conduct deep phenotyping. Among the many physical and cognitive complaints, one defining feature of PI-ME/CFS was an alteration of effort preference, rather than physical or central fatigue, due to dysfunction of integrative brain regions potentially associated with central catechol pathway dysregulation, with consequences on autonomic functioning and physical conditioning. Immune profiling suggested chronic antigenic stimulation with increase in naïve and decrease in switched memory B-cells. Alterations in gene expression profiles of peripheral blood mononuclear cells and metabolic pathways were consistent with cellular phenotypic studies and demonstrated differences according to sex. Together these clinical abnormalities and biomarker differences provide unique insight into the underlying pathophysiology of PI-ME/CFS, which may guide future intervention.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38383456 · DOI · PMC10881493

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: the biology of a neglected disease [2]

Review article Arron HE, Marsh BD, Kell DB, Khan MA, Jaeger BR, Pretorius E · · 2024 · cited 93 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic, debilitating disease characterised by a wide range of symptoms that severely impact all aspects of life.
Closing excerpt
By integrating these disparate elements, our work emphasises the necessity of a holistic approach to diagnosing, researching, and treating ME/CFS, urging the scientific community to reconsider the disease's complexity and the multifaceted approach required for its study and management.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (203 words)

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic, debilitating disease characterised by a wide range of symptoms that severely impact all aspects of life. Despite its significant prevalence, ME/CFS remains one of the most understudied and misunderstood conditions in modern medicine. ME/CFS lacks standardised diagnostic criteria owing to variations in both inclusion and exclusion criteria across different diagnostic guidelines, and furthermore, there are currently no effective treatments available. Moving beyond the traditional fragmented perspectives that have limited our understanding and management of the disease, our analysis of current information on ME/CFS represents a significant paradigm shift by synthesising the disease's multifactorial origins into a cohesive model. We discuss how ME/CFS emerges from an intricate web of genetic vulnerabilities and environmental triggers, notably viral infections, leading to a complex series of pathological responses including immune dysregulation, chronic inflammation, gut dysbiosis, and metabolic disturbances. This comprehensive model not only advances our understanding of ME/CFS's pathophysiology but also opens new avenues for research and potential therapeutic strategies. By integrating these disparate elements, our work emphasises the necessity of a holistic approach to diagnosing, researching, and treating ME/CFS, urging the scientific community to reconsider the disease's complexity and the multifaceted approach required for its study and management.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38887284 · DOI · PMC11180809

Metabolomic and immune alterations in long COVID patients with chronic fatigue syndrome [3]

Research article Saito S, Shahbaz S, Luo X, Osman M, Redmond D, Cohen Tervaert JW, et al. · · 2024 · cited 72 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
IntroductionA group of SARS-CoV-2 infected individuals present lingering symptoms, defined as long COVID (LC), that may last months or years post the onset of acute disease.
Closing excerpt
Finally, our study reveals that LC disproportionally affects females more than males, as evidenced by nearly 70% of our LC patients being female.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (299 words)

IntroductionA group of SARS-CoV-2 infected individuals present lingering symptoms, defined as long COVID (LC), that may last months or years post the onset of acute disease. A portion of LC patients have symptoms similar to myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), which results in a substantial reduction in their quality of life. A better understanding of the pathophysiology of LC, in particular, ME/CFS is urgently needed.MethodsWe identified and studied metabolites and soluble biomarkers in plasma from LC individuals mainly exhibiting ME/CFS compared to age-sex-matched recovered individuals (R) without LC, acute COVID-19 patients (A), and to SARS-CoV-2 unexposed healthy individuals (HC).ResultsThrough these analyses, we identified alterations in several metabolomic pathways in LC vs other groups. Plasma metabolomics analysis showed that LC differed from the R and HC groups. Of note, the R group also exhibited a different metabolomic profile than HC. Moreover, we observed a significant elevation in the plasma pro-inflammatory biomarkers (e.g. IL-1α, IL-6, TNF-α, Flt-1, and sCD14) but the reduction in ATP in LC patients. Our results demonstrate that LC patients exhibit persistent metabolomic abnormalities 12 months after the acute COVID-19 disease. Of note, such metabolomic alterations can be observed in the R group 12 months after the acute disease. Hence, the metabolomic recovery period for infected individuals with SARS-CoV-2 might be long-lasting. In particular, we found a significant reduction in sarcosine and serine concentrations in LC patients, which was inversely correlated with depression, anxiety, and cognitive dysfunction scores.ConclusionOur study findings provide a comprehensive metabolomic knowledge base and other soluble biomarkers for a better understanding of the pathophysiology of LC and suggests sarcosine and serine supplementations might have potential therapeutic implications in LC patients. Finally, our study reveals that LC disproportionally affects females more than males, as evidenced by nearly 70% of our LC patients being female.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38304426 · DOI · PMC10830702

Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest [4]

Research article Charlton BT, Slaghekke A, Appelman B, Eggelbusch M, Huijts JY, Noort W, et al. · · 2026 · cited 5 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Patients with long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) suffer from post-exertional malaise.
Closing excerpt
As skeletal muscle characteristics differ between patients and healthy individuals after bed rest, physical inactivity cannot solely explain the lower exercise capacity and skeletal muscle adaptations in long COVID and ME/CFS patients.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (149 words)

Patients with long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) suffer from post-exertional malaise. The accompanying physical inactivity may contribute to a lower aerobic capacity and may explain skeletal muscle adaptations in these patients. Here, we compare whole-body exercise responses and skeletal muscle adaptations after strict 60-day bed rest in healthy people with those in long COVID and ME/CFS patients, and healthy age- and sex-matched controls. Bed rest alters respiratory and cardiovascular responses to maximal exercise, which are dissimilar in patients. Bed rest causes muscle atrophy without altering fiber type. Both patient groups have more glycolytic fibers, and ME/CFS patients display type I-specific atrophy. Only after bed rest is oxidative phosphorylation capacity associated with maximal oxygen uptake. As skeletal muscle characteristics differ between patients and healthy individuals after bed rest, physical inactivity cannot solely explain the lower exercise capacity and skeletal muscle adaptations in long COVID and ME/CFS patients.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42649155 · DOI · PMC13518852

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article MOG encephalomyelitis: international recommendations on diagnosis and antibody testing [5]
    Jarius S, Paul F, Aktas O, Asgari N, Dale RC, de Seze J, et al. · J Neuroinflammation · 2018 · cited 566 times (Europe PMC)
  • Research article Unexplained post-acute infection syndromes [6]
    Choutka J, Jansari V, Hornig M, Iwasaki A · Nat Med · 2022 · cited 510 times (Europe PMC)
  • Research article Systematic review and meta-analysis of the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) [7]
    Lim EJ, Ahn YC, Jang ES, Lee SW, Lee SH, Son CG · J Transl Med · 2020 · cited 340 times (Europe PMC)
  • Research article Chronic viral infections in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) [8]
    Rasa S, Nora-Krukle Z, Henning N, Eliassen E, Shikova E, Harrer T, et al. · J Transl Med · 2018 · cited 246 times (Europe PMC)
  • Research article Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Essentials of Diagnosis and Management [9]
    Bateman L, Bested AC, Bonilla HF, Chheda BV, Chu L, Curtin JM, et al. · Mayo Clin Proc · 2021 · cited 239 times (Europe PMC)
  • Research article Myalgic Encephalomyelitis/Chronic Fatigue Syndrome - Evidence for an autoimmune disease [10]
    Sotzny F, Blanco J, Capelli E, Castro-Marrero J, Steiner S, Murovska M, et al. · Autoimmun Rev · 2018 · cited 221 times (Europe PMC)

References

  1. Walitt B, Singh K, LaMunion SR, Hallett M, Jacobson S, Chen K, et al.. Deep phenotyping of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome. . 2024. PMID 38383456 · DOI · PMC10881493
  2. Arron HE, Marsh BD, Kell DB, Khan MA, Jaeger BR, Pretorius E. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: the biology of a neglected disease. . 2024. PMID 38887284 · DOI · PMC11180809
  3. Saito S, Shahbaz S, Luo X, Osman M, Redmond D, Cohen Tervaert JW, et al.. Metabolomic and immune alterations in long COVID patients with chronic fatigue syndrome. . 2024. PMID 38304426 · DOI · PMC10830702
  4. Charlton BT, Slaghekke A, Appelman B, Eggelbusch M, Huijts JY, Noort W, et al.. Skeletal muscle properties in long COVID and ME/CFS differ from those induced by bed rest. . 2026. PMID 42649155 · DOI · PMC13518852
  5. Jarius S, Paul F, Aktas O, Asgari N, Dale RC, de Seze J, et al.. MOG encephalomyelitis: international recommendations on diagnosis and antibody testing. J Neuroinflammation. 2018. PMID 29724224 · DOI · PMC5932838
  6. Choutka J, Jansari V, Hornig M, Iwasaki A. Unexplained post-acute infection syndromes. Nat Med. 2022. PMID 35585196 · DOI
  7. Lim EJ, Ahn YC, Jang ES, Lee SW, Lee SH, Son CG. Systematic review and meta-analysis of the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). J Transl Med. 2020. PMID 32093722 · DOI · PMC7038594
  8. Rasa S, Nora-Krukle Z, Henning N, Eliassen E, Shikova E, Harrer T, et al.. Chronic viral infections in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). J Transl Med. 2018. PMID 30285773 · DOI · PMC6167797
  9. Bateman L, Bested AC, Bonilla HF, Chheda BV, Chu L, Curtin JM, et al.. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Essentials of Diagnosis and Management. Mayo Clin Proc. 2021. PMID 34454716 · DOI
  10. Sotzny F, Blanco J, Capelli E, Castro-Marrero J, Steiner S, Murovska M, et al.. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome - Evidence for an autoimmune disease. Autoimmun Rev. 2018. PMID 29635081 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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All 102 articles in Infectious Diseases →

At a glance

12,699
PubMed records on this heading
14%
published since 2020
1,635
review articles
336
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

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