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Cladribine (Mavenclad®) is an oral treatment for relapsing remitting MS (RRMS), but its mechanism of action and its effects on innate immune responses in unknown. This study is a prospective Phase IV study of 41 patients with RRMS, and aims to investigate the mechanism of action of cladribine on peripheral monocytes, and its impact on the P2X7 receptor. There was a significant reduction in monocyte count in vivo at week 1 post cladribine administration, and the subset of cells being most impacted were the CD14lo CD16+ 'non-classical' monocytes. Of the 14 cytokines measured in serum, CCL2 levels increased at week 1. In vitro, cladrabine induced a reduction in P2X7R pore as well as channel activity. This study demonstrates a novel mechanism of action for cladribine. It calls for studying potential benefits of cladribine in progressive forms of MS and other neurodegenerative diseases where innate immune related inflammation is implicated in disease pathogenesis., Competing Interests: Declaration of competing interest, (Copyright © 2024. Published by Elsevier Inc.)

Background and Objectives: Autoimmune encephalitis (AE) is an inflammatory disease of the central nervous system which can result in long-term seizures and cognitive dysfunction despite treatment with immunotherapy. The role of the innate immune system in AE is not well established. To investigate the contribution of innate immunity to AE and its long-term outcomes we evaluated peripheral monocytes and serum cytokines in the periphery of patients with AE., Methods and Results: We recruited 40 patients with previously diagnosed AE and 28 healthy volunteers to our cross-sectional observation study and evaluated their peripheral blood monocytes via flow cytometry and serum cytokines (CCL-2, CCL-17, G-CSF, GM-CSF, IFNγ, IL-1α, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-17, TNFα) via ELISA.Compared with controls the AE cohort had expansion of the 'pro-inflammatory' CD14 + CD16 + monocyte sub-population (7.13% vs 5.46%, p < 0.01) with higher levels of serum IL-6 (2.34 pg/mL vs 0.54 pg/mL, p < 0.001). These changes were most significant in anti-LGI-1 antibody mediated AE, an AE subtype with poor long-term cognitive outcomes., Conclusion: Expansion of the peripheral CD14 + CD16 + monocyte population and increased serum IL-6 in AE is reflective of changes seen in other systemic inflammatory and neurodegenerative conditions. These changes may indicate a persistent pro-inflammatory state in AE and may contribute to poor long-term outcomes., Competing Interests: Declaration of competing interest Prof Helmut Butzkueven's institution receives funding from Biogen, Roche, Merck and Novartis for speaker engagements, study steering and advisory committee service. He is on the editorial board of Multiple Sclerosis and Related Disorders and the Steering committee of the Brain Health Initiative (Oxford Health Policy Forum). Prof Terence J. O'Brien receives research funding from Biogen, UCB Pharma, Eisai Pharma, Anavex Pharmaceuticals, Zynerba Pharmaceuticals, and serves on the scientific advisory boards for UCB Pharma, Eisai Pharmaceuticals, Zynerba Pharmaceuticals, ESTherapeutics, Seqirus Pharmaceuticals. Dr Mastura Monif's has served on advisory board for Merck and has received speaker honoraria from Merck and Biogen. Her institution receives funding from Merck, Australian.National Health Medical Research Council, Brain Foundation, Charles and Sylvia.Viertel Foundation, and MS Research Australia. The remaining authors report no conflicts of interest., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Objective: To evaluate the prevalence and biomarkers of drug-resistant epilepsy (DRE) in patients with autoimmune encephalitis (AIE)., Methods: Sixty-nine patients with AIE were recruited retrospectively and electroencephalographies (EEGs) were reviewed using a standard reporting proforma. Associations between EEG biomarkers and DRE development at 12 months were examined using logistic regression modeling and were utilized to create a DRE risk score., Results: Sixteen percent of patients with AIE developed DRE at 12-month follow-up. The presence of status epilepticus (SE) (OR 11.50, 95% CI [2.81, 51.86], p-value <0.001), temporal lobe focality (OR 9.90, 95% CI [2.60, 50.71], p-value 0.001) and periodic discharges (OR 19.12, 95% CI [3.79, 191.10], p-value 0.001) on the admission EEG were associated with the development of DRE at 12 months. These variables were utilized to create a clinically applicable risk score for the prediction of DRE development., Conclusions: Drug-resistant epilepsy is an infrequent complication of AIE. Electroencephalography changes during the acute illness can predict the risk of DRE at 12 months post-acute AIE., Significance: The identified EEG biomarkers provide the basis to generate a clinically applicable prediction tool which could be used to inform treatment, prognosis, and select patients for acute treatment trials., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objective: To evaluate the utility of electroencephalography (EEG) changes as diagnostic and prognostic biomarkers in acute autoimmune encephalitis (AIE)., Methods: One hundred and thirty-one patients with AIE were recruited retrospectively across 7 hospitals. Clinical data were collected during admission and at 12 months. EEGs were reviewed using a standard reporting proforma. Associations between EEG biomarkers, AIE subtypes, and clinical outcomes were assessed using logistic regression modeling., Results: Presence of superimposed fast activity (OR 34.33; 95% CI 3.90, 4527.27; p < 0.001), fluctuating EEG abnormality (OR 6.60; 95% CI 1.60, 37.59; p = 0.008), and hemispheric focality (OR 28.48; 95% CI 3.14, 3773.14; p < 0.001) were significantly more common in N-methyl-d-aspartate receptor (NMDAR) antibody-associated patients with AIE compared to other AIE subtypes. Abnormal background rhythm was associated with a poor mRS (modified Rankin score) at discharge (OR 0.29; 95% CI 0.10, 0.75; p = 0.01) and improvement in mRS at 12 months compared with admission mRS (3.72; 95% CI 1.14, 15.23; p = 0.04)., Significance: We have identified EEG biomarkers that differentiate NMDAR AIE from other subtypes. We have also demonstrated EEG biomarkers that are associated with poor functional outcomes., (Copyright © 2022 Elsevier Inc. All rights reserved.)