Objectives:To report the clinical, biological, imaging features, and the clinical course of a French cohort of patients with glial fibrillar acidic protein (GFAP) autoantibodies.Methods:We retrospectively included all patients tested positive for GFAP antibodies in the cerebrospinal fluid, by immunohistochemistry and confirmed by cell-based assay using cells expressing human GFAPα, since 2017, from two French referral centers.Results:We identified 46 patients with GFAP antibodies. Median age at onset was 43 years, and 65% were men. Infectious prodromal symptoms were found in 82%. Other auto-immune diseases were found in 22% of patients, and coexisting neural autoantibodies in 11%. Tumors were present in 24%, and T cell dysfunction in 23%. The most frequent presentation was subacute meningoencephalitis (85%) with cerebellar dysfunction in 57% of cases. Other clinical presentation included myelitis (30%), visual (35%) and peripheral nervous system involvement (24%). MRI showed perivascular radial enhancement in 32%, periventricular T2 hyperintensity in 41%, brainstem involvement in 31%, leptomeningeal enhancement in 26%, and reversible splenial lesions in 4 cases. 33/40 patients had a monophasic course, associated to a good outcome at last follow-up (Rankin Score≤2: 89%), despite a severe clinical presentation. Adult and pediatric features are similar. Thirty-two patients were treated with immunotherapy. 11/22 patients showed negative conversion of GFAP antibodies.Interpretation:GFAP auto-immunity is mainly associated with acute/subacute meningoencephalomyelitis with prodromal symptoms, for which tumors and T cell dysfunction are frequent triggers. The majority of patients followed a monophasic course with a good outcome.

IntroductionMagnetic resonance imaging (MRI) can be used to identify biomarkers in Parkinson’s disease (PD); R2* values reflect iron content related to high levels of oxidative stress, whereas volume and/or shape changes reflect neuronal death. We sought to assess iron overload in the nigrostriatal system and characterize its relationship with focal and overall atrophy of the striatum in the pivotal stages of PD.MethodsTwenty controls and 70 PD patients at different disease stages (untreated de novo patients, treated early-stage patients and advanced-stage patients with L-dopa-related motor complications) were included in the study. We determined the R2* values in the substantia nigra, putamen and caudate nucleus, together with striatal volume and shape analysis. We also measured R2* in an acute MPTP mouse model and in a longitudinal follow-up two years later in the early-stage PD patients.ResultsThe R2* values in the substantia nigra, putamen and caudate nucleus were significantly higher in de novo PD patients than in controls. Early-stage patients displayed significantly higher R2* values in the substantia nigra (with changes in striatal shape), relative to de novo patients. Measurements after a two-year follow-up in early-stage patients and characterization of the acute MPTP mouse model confirmed that R2* changed rapidly with disease progression. Advanced-stage patients displayed significant atrophy of striatum, relative to earlier disease stages.ConclusionEach pivotal stage in PD appears to be characterized by putative nigrostriatal MRI biomarkers: iron overload at the de novo stage, striatal shape changes at early-stage disease and generalized striatal atrophy at advanced disease.

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Background Epilepsy seems to be an important comorbidity in patients with Alzheimer’s disease (AD), especially in young onset AD (<65 years old). At this time epileptic seizures are still underestimated in this population. However, seizures may interact with AD evolution with possible acceleration of cognitive decline and early institutionalization. Seizures may also be a marker of a more aggressive subtype of AD. This study aims to determine the prevalence of the epileptic comorbidity in patients with early onset AD. Secondly, it will investigate the temporal relationship between AD and epilepsy and extract specific characteristics of AD patients at higher risk of epilepsy. Method All patients diagnosed as early‐onset Alzheimer disease between 2013 and 2019, with abnormal CSF biomarkers for Alzheimer disease, and followed at the University Hospital of Nancy (AD regional center) were selected. Patients with cortical focal lesion or old history of epilepsy were excluded. The usual clinical follow‐up was extended with a prolonged EEG and a specific consultation with an epilepsy expert. Based on this dedicated interrogation and EEG results, patients were then classified as epileptic or non‐epileptic. We collected demographic data and information on epilepsy and AD disorders. Result Among the 22 included patients, 10 were classified as epileptic with a prevalence of 45%. Considering seizure types, patients presented generalized seizures (n=4), typical temporal seizures (n=4), myoclonus (n=1) and extratemporal seizures (n=1). EEG recordings were not useful in our population. Epileptic patients presented a more severe cognitive decline than patients without seizures (MMSE 8.4+/‐6.9 versus MMSE non epileptic 20.9 +/‐ 5.45). 100% of patients with a MMSE <10 had epileptic comorbidity. In our population, epilepsy never occurred before AD diagnosis. Conclusion Epilepsy appears to be a frequent comorbidity in early onset AD patients, with a prevalence of 45% in our study. This comorbidity seems to be a marker for severe AD. The role of the epileptic disorder in the acceleration of cognitive decline as the positive impact of antiepileptic drugs still need to be determined.

Background: Epilepsy seems to be an important comorbidity in patients with early onset Alzheimer’s disease (EOAD). Currently, seizures are still underestimated in this population. However, seizures may interact with AD evolution with possible acceleration of cognitive decline and early institutionalization. Objective: To better define the epileptic disorders observed in patients with EOAD. Methods: All patients diagnosed as EOAD in our hospital between 2013 and 2019 and with positive CSF biomarkers for AD were selected. The usual follow-up was extended with a 3 h EEG and a consultation with an epilepsy expert. Information on epilepsy and AD were collected and analyzed. Results: Among the 25 included patients, 10 (40%) were classified as epileptic. Considering the seizure types, patients presented tonic-clonic seizures (n = 3), typical temporal seizures (n = 3), myoclonus (n = 3), focal extra-temporal seizures (n = 1), and other seizure types (n = 2). AD-E patients had a significant lower MMSE (15.3±8.4 AD-E versus 22.1±5.1 AD-NE, p = 0.036) and a lower autonomy (IADL 4.1±2.7 AD-E versus 6.4±1.9 AD-NE, p = 0.046) at AD diagnosis with comparable ages between AD-E and AD-NE. Epileptic patients seemed to present a faster cognitive decline compared to AD patients without seizures ([ΔMMSE per year 1.7±1.3 AD-E versus 0.9±1.4 AD-NE; p = 0.09). All patients with severe cognitive impairment (MMSE ≤ 10) had an epileptic comorbidity. Conclusion: Epilepsy is a frequent comorbidity in EOAD patients, with a percentage of 40% in our study. This comorbidity may be associated with a severe form of EOAD. The role of epilepsy in the acceleration of cognitive decline and the positive impact of antiepileptic drugs on cognition need further research.