ArticleNeurology2021
Association of Epileptic and Nonepileptic Seizures and Changes in Circulating Plasma Proteins Linked to Neuroinflammation.
Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- A Systematic Review of the Predictive and Diagnostic Uses of Neuroinflammation Biomarkers for Epileptogenesis.International journal of molecular sciences · 2024Pooled it
- The impact of ketogenic diet on the frequency of psychogenic non-epileptic seizures (PNES): A feasibility randomized pilot study.Epilepsia open · 2025Trial
- Plasma proteomics identifies proteins and pathways associated with incident epilepsy.Cell reports. Medicine · 2025Article
- Neurobehavioral therapy in functional seizures: Investigation of mechanism of action with resting-state functional magnetic resonance imaging.Epilepsia · 2025Article
- Vascular Cell Adhesion Molecule-1 and Complement C3 involvement in Febrile Seizures in Children.Journal of molecular neuroscience : MN · 2025Article
- Stable Yet Destabilised: Towards Understanding Brain Network Dynamics in Psychogenic Disorders.Journal of clinical medicine · 2025Article
- The adjunct role of pharmacotherapy in multimodal treatment of paediatric functional neurological disorder.Frontiers in psychiatry · 2025Article
- Brain temperature, brain metabolites, and immune system phenotypes in temporal lobe epilepsy.Epilepsia open · 2024Article
- Review
- Differentiation of epilepsy and psychogenic nonepileptic events based on body fluid characteristics.Epilepsia open · 2023Observational
- Immune response in blood before and after epileptic and psychogenic non-epileptic seizures.Heliyon · 2023Article
- Systemic inflammation as a biomarker of seizure propensity and a target for treatment to reduce seizure propensity.Epilepsia open · 2023Review
- White matter microstructure and serum biomarkers of inflammation in psychogenic non-epileptic seizures.NeuroImage. Clinical · 2023Article
- Peripheral and Central Nervous System Biomarkers of Inflammation in Functional Seizures: Assessment with Magnetic Resonance Spectroscopy.Neuropsychiatric disease and treatment · 2023Article
- Functional neurological disorder: new subtypes and shared mechanisms.The Lancet. Neurology · 2022Review
- Treatment Approaches for Functional Neurological Disorders in Children.Current treatment options in neurology · 2022Review
- Neuroinflammation as a pathophysiological factor in the development and maintenance of functional seizures: A hypothesis.Epilepsy & behavior reports · 2021Article
- The Molecular Dichotomy Between Epileptic and Functional Seizures.Epilepsy currentsArticle
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo develop a diagnostic test that stratifies epileptic seizures (ES) from psychogenic nonepileptic seizures (PNES) by developing a multimodal algorithm that integrates plasma concentrations of selected immune response-associated proteins and patient clinical risk factors for seizure.
methodsDaily blood samples were collected from patients evaluated in the epilepsy monitoring unit within 24 hours after EEG confirmed ES or PNES and plasma was isolated. Levels of 51 candidate plasma proteins were quantified using an automated, multiplexed, sandwich ELISA and then integrated and analyzed using our diagnostic algorithm.
resultsA 51-protein multiplexed ELISA panel was used to determine the plasma concentrations of patients with ES, patients with PNES, and healthy controls. A combination of protein concentrations, tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), intercellular adhesion molecule 1 (ICAM-1), monocyte chemoattractant protein-2 (MCP-2), and tumor necrosis factor-receptor 1 (TNF-R1) indicated a probability that a patient recently experienced a seizure, with TRAIL and ICAM-1 levels higher in PNES than ES and MCP-2 and TNF-R1 levels higher in ES than PNES. The diagnostic algorithm yielded an area under the receiver operating characteristic curve (AUC) of 0.94 ± 0.07, sensitivity of 82.6% (95% confidence interval [CI] 62.9-93.0), and specificity of 91.6% (95% CI 74.2-97.7). Expanding the diagnostic algorithm to include previously identified PNES risk factors enhanced diagnostic performance, with AUC of 0.97 ± 0.05, sensitivity of 91.3% (95% CI 73.2-97.6), and specificity of 95.8% (95% CI 79.8-99.3).
conclusionsThese 4 plasma proteins could provide a rapid, cost-effective, and accurate blood-based diagnostic test to confirm recent ES or PNES. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that variable levels of 4 plasma proteins, when analyzed by a diagnostic algorithm, can distinguish PNES from ES with sensitivity of 82.6% and specificity of 91.6%.
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