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Record W4415559444 · doi:10.1002/epi4.70159

Defining the role of systemic autoimmune markers in adult epilepsy: A focus on autoimmune‐associated epilepsy

2025· article· en· W4415559444 on OpenAlex
I‐Ting Lin, Chieh‐Yu Shen, Chi‐Ting Chung, Cheng Chang-yu, Pin‐Yu Chen, Tun Jao

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpilepsia Open · 2025
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversité Laval
FundersNational Taiwan University Hospital
KeywordsEpilepsyAutoantibodyElectroencephalographyImmune systemImmunotherapyEpilepsy syndromesImmunopathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Autoimmune mechanisms are a recognized cause of adult epilepsy, with immunotherapy offering etiology-specific treatment. Autoimmune-associated epilepsy is an emerging clinical entity, for which early diagnosis remains challenging and largely depends on neuronal antibody testing. This study investigates the utility of serum systemic autoantibodies as surrogate markers for positive neuronal antibodies and their potential in predicting epilepsy outcomes. METHODS: We retrospectively enrolled adult epilepsy patients, excluding those with prior autoimmune diseases. All patients had baseline laboratory data, including ESR, ANA, and anti-ENA. Further immunological evaluations included serum or CSF studies for systemic or neuronal autoantibodies. We compared the prevalence of systemic autoantibodies, seizure patterns, and EEG characteristics across immune, other, and unknown etiological groups and assessed epilepsy outcomes based on autoimmune comorbidities and systemic autoantibody presence. RESULTS: Among 333 patients (immune = 12, other = 122, unknown = 199), autoimmune-associated epilepsy showed higher rates of status epilepticus (41.7% vs. 0.5% vs. 2.5%, p < 0.001), multifocal epileptogenicity (41.7% vs. 9.1% vs. 8.2%, p < 0.01), ≥2 anti-seizure medications (83.3% vs. 28.6% vs. 43.4%, p < 0.001), and a worse seizure outcome. Systemic autoantibodies were prevalent across subgroups (27.6%-41.7%), and autoimmune comorbidities were newly diagnosed in 5.5%-9.8% of cases, but no differences were observed across groups. The prevalence of antiphospholipid syndrome (2.1%) and Sjögren's syndrome (1.5%) was high in our study cohort. Neither autoimmune comorbidities nor systemic autoantibodies correlated with seizure types, EEG patterns, seizure frequency, number of ASMs, or outcomes. SIGNIFICANCE: Autoantibody testing contributes to unexpectedly high rates of new rheumatological diagnoses following epilepsy, often preceding systemic symptoms. However, systemic autoantibodies cannot reliably predict epilepsy characteristics or outcomes. Multifocal epileptogenicity on EEG and high seizure burden may be characteristic features in autoimmune-associated epilepsy. These findings suggest that adult epilepsy patients should benefit from a tiered approach to immunological evaluation. PLAIN LANGUAGE SUMMARY: Autoimmune causes of epilepsy are increasingly recognized, and some patients may benefit from immunotherapy in addition to standard anti-seizure drugs. We retrospectively analyzed adult epilepsy patients by underlying cause and examined their clinical features, EEG findings, and blood tests for systemic autoantibodies. In our study, although these systemic autoantibodies were prevalent, they did not help predict seizure type, EEG pattern, or treatment outcome. However, we found that patients with seizure activity coming from several parts of the brain or frequent, hard-to-control seizures may have autoimmune-associated epilepsy and could benefit from advanced immune evaluation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.266
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it