No abstract

The triple A syndrome (MIM#231550) is a rare autosomal recessive disorder characterized by adrenocorticotropic hormone (ACTH) resistant adrenal failure, achalasia, alacrima, and a variety of neurological and dermatological features. The triple A syndrome is caused by mutations in the AAAS gene, which encodes a protein known as ALADIN (ALacrima Achalasia aDrenal Insufficiency Neurologic disorder). ALADIN is a new WD-repeat protein that has no significant homology to any previously identified WD-repeat protein. It has been shown that it colocalizes with nuclear pore complexes (NPCs), a finding that strongly suggests an involvement of ALADIN in nucleocytoplasmic transport. An investigation of 110 families with triple A syndrome disclosed mutation hot spots including Q15K (exon 1), and S293P (exon 8), which occur in 17 and 21 families from different geographical regions, respectively. The variable phenotype of all patients cannot be correlated with the localization and the nature of the ALADIN mutations. Thus, modifying genes/factors may be involved in the progression of this neurodegenerative disease. The lack of AAAS mutations in eight patients and negative linkage to chromosome 12q13 in three families are suggestive of genetic heterogeneity. To examine the cellular localization of ALADIN mutants causing triple A syndrome, we investigated nine different ALADIN-mutants: 2 nonsense (W84X, Q456X), 2 frameshift (F157fsX171, G397fsX414) and 5 point mutations (Q15K, L25P, H160R, S263P, L381R) by transfection experiments with green fluorescence protein. Mutants were predominantly localized in the cytoplasm, but also found in the nucleus indicating that ALADIN is essential for NPC targeting. To investigate physiological functions of ALADIN in vivo, we generated and analysed Aaas-/- knockout mice by homologous recombination in embryonic stem cells. Surprisingly, required animals lack any gross abnormality in adrenal and nervous system function. Further studies have to investigate the role of ALADIN at NPCs and to identify interacting proteins. Functional analyses of ALADIN may permit further understanding of its role for adrenocortical function and neurodevelopment.

Objective:To clarify the prevalence, long-term natural history and severity determinants of SEPN1-related myopathy (SEPN1-RM), we analyzed a large international case series.Methods:Retrospective clinical, histological and genetic analysis of 132 pediatric and adult patients (2-58 years) followed-up for several decades.Results:The clinical phenotype was marked by severe axial muscle weakness, spinal rigidity and scoliosis (86.1%, from 8.9±4 years), with relatively-preserved limb strength and previously-unreported ophthalmoparesia in severe cases. All patients developed respiratory failure (from 10.1±6 years), 81.7% requiring ventilation while ambulant. Histopathologically, 79 muscle biopsies showed large variability, partly determined by site of biopsy and age. Multi-minicores were the most common lesion (59.5%), often associated with mild dystrophic features and occasionally with eosinophilic inclusions. Identification of 65 SEPN1 mutations, including 32 novel ones and the first pathogenic CNV, unveiled exon 1 as the main mutational hotspot and revealed the first genotype-phenotype correlations, bi-allelic null mutations being significantly associated with disease severity (p=0.017). SEPN1-RM was more severe and progressive than previously thought, leading to loss of ambulation in 10% cases, systematic functional decline from the end of the third decade and reduced lifespan even in mild cases. The main prognosis determinants were scoliosis/respiratory management, SEPN1 mutations and body mass abnormalities, which correlated with disease severity. Finally, we propose a set of severity criteria, provide quantitative data for outcome identification and establish a need for age stratification.Conclusion:Our results inform clinical practice, improving diagnosis and management, and represent a major breakthrough for clinical trial readiness in this not-so-rare disease.

PurposePhenotype information is crucial for the interpretation of genomic variants. So far it has only been accessible for bioinformatics workflows after encoding into clinical terms by expert dysmorphologists.MethodsHere, we introduce an approach driven by artificial intelligence that uses portrait photographs for the interpretation of clinical exome data. We measured the value added by computer-assisted image analysis to the diagnostic yield on a cohort consisting of 679 individuals with 105 different monogenic disorders. For each case in the cohort we compiled frontal photos, clinical features, and the disease-causing variants, and simulated multiple exomes of different ethnic backgrounds.ResultsThe additional use of similarity scores from computer-assisted analysis of frontal photos improved the top 1 accuracy rate by more than 20–89% and the top 10 accuracy rate by more than 5–99% for the disease-causing gene.ConclusionImage analysis by deep-learning algorithms can be used to quantify the phenotypic similarity (PP4 criterion of the American College of Medical Genetics and Genomics guidelines) and to advance the performance of bioinformatics pipelines for exome analysis.

Autoantibodies targeting the GABAA receptor (GABAAR) hallmark an autoimmune encephalitis presenting with frequent seizures and psychomotor abnormalities. Their pathogenic role is still not well-defined, given the common overlap with further autoantibodies and the lack of patient derived monoclonal antibodies (mAbs). We cloned and recombinantly produced five affinity-maturated GABAAR IgG1 mAbs from cerebrospinal fluid cells, which bound to various epitopes involving α1 and γ2 receptor subunits, with variable binding strength and partial competition. mAbs selectively reduced GABAergic currents in neuronal cultures without causing receptor internalization. Cerebroventricular infusion of GABAAR mAbs and Fab fragments into rodents induced a severe phenotype with catatonia, seizures and increased mortality, reminiscent of encephalitis patients’ symptoms. Our results prove direct functional effects of autoantibodies on GABAARs and provide an animal model for GABAAR encephalitis. They further provide the scientific rationale for clinical treatments using antibody depletion and pave the way for future antibody-selective immunotherapies.

Objective To evaluate disease symptoms, and clinical and magnetic resonance imaging (MRI) findings and to perform longitudinal volumetric MRI analyses in a European multicenter cohort of pediatric anti–N‐methyl‐D‐aspartate receptor encephalitis (NMDARE) patients. Methods We studied 38 children with NMDARE (median age = 12.9 years, range =1–18) and a total of 82 MRI scans for volumetric MRI analyses compared to matched healthy controls. Mixed‐effect models and brain volume z scores were applied to estimate longitudinal brain volume development. Ordinal logistic regression and ordinal mixed models were used to predict disease outcome and severity. Results Initial MRI scans showed abnormal findings in 15 of 38 (39.5%) patients, mostly white matter T2/fluid‐attenuated inversion recovery hyperintensities. Volumetric MRI analyses revealed reductions of whole brain and gray matter as well as hippocampal and basal ganglia volumes in NMDARE children. Longitudinal mixed‐effect models and z score transformation showed failure of age‐expected brain growth in patients. Importantly, patients with abnormal MRI findings at onset were more likely to have poor outcome (Pediatric Cerebral Performance Category score > 1, incidence rate ratio = 3.50, 95% confidence interval [CI] = 1.31–9.31, p = 0.012) compared to patients with normal MRI. Ordinal logistic regression models corrected for time from onset confirmed abnormal MRI at onset (odds ratio [OR] = 9.90, 95% CI = 2.51–17.28, p = 0.009), a presentation with sensorimotor deficits (OR = 13.71, 95% CI = 2.68–24.73, p = 0.015), and a treatment delay > 4 weeks (OR = 5.15, 95% CI = 0.47–9.82, p = 0.031) as independent predictors of poor clinical outcome. Interpretation Children with NMDARE exhibit significant brain volume loss and failure of age‐expected brain growth. Abnormal MRI findings, a clinical presentation with sensorimotor deficits, and a treatment delay > 4 weeks are associated with worse clinical outcome. These characteristics represent promising prognostic biomarkers in pediatric NMDARE. ANN NEUROL 2020 ANN NEUROL 2020;88:148–159

The triple A syndrome (MIM*231550) is a rare autosomal recessive disorder characterized by adrenocorticotropic hormone (ACTH) resistant adrenal failure, achalasia, alacrima and a variety of neurological and dermatological features. Adrenal insufficiency usually presents in the first decade of life, however in some patients it may occur later in life or may even lack completely. Recently, we and others identified a novel gene on chromosome 12q13, designated AAAS (Achalasia-Addisonianism-Alacrima-Syndrome gene) which is mutated in patients with triple A syndrome. We investigated n=84 families including 111 patients with clinically suggested triple A syndrome and identified homozygous or compound heterozygous AAAS mutations in 78 families. Genotype/phenotype analyses revealed a highly variable occurrence, age of onset and severity of all clinical symptoms between patients with the same AAAS mutation. The obvious lack of a genotype/phenotype relationship is suggestive of modifying genes/factors which need to be determined. The AAAS protein function is unknown. With four WD repeats it belongs to the family of WD repeat-containing proteins which may exhibit a high degree of functional diversity. The subcellular localization of the protein and the determination of its putative binding partners will shed light on the role of the AAAS protein for the development and function of the adrenal gland and other neuroendocrine structures.

IntroductionIn one third of all patients with epilepsy, seizure freedom is not achieved through anti-seizure medication (ASM). These patients have an increased risk of earlier death, poorer cognitive development, and reduced quality of life. Cenobamate (CNB) has recently been approved as a promising novel ASM drug for the treatment of adults with focal-onset epilepsy. However, there is little experience for its application in pediatric patients.MethodsIn a multicenter study we evaluated retrospectively the outcome of 16 pediatric patients treated “off label” with CNB.ResultsIn 16 patients with a mean age of 15.38 years, CNB was started at an age of 15.05 years due to DRE. Prior to initiation of therapy, an average of 10.56 (range 3–20) ASM were prescribed. At initiation, patients were taking 2.63 (range 1–4) ASM. CNB was increased by 0.47 ± 0.27mg/kg/d every 2 weeks with a mean maximum dosage of 3.1 mg/kg/d (range 0.89–7) and total daily dose of 182.81 mg (range 50–400 mg). Seizure freedom was achieved in 31.3% and a significant seizure reduction of >50% in 37.5%. Adverse events occurred in 10 patients with fatigue/somnolence as the most common. CNB is taken with high adherence in all but three patients with a median follow-up of 168.5 daysConclusionCenobamate is an effective ASM for pediatric patients suffering from drug-resistant epilepsy. In addition to excellent seizure reduction or freedom, it is well-tolerated. Cenobamate should be considered as a novel treatment for DRE in pediatric patients.