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1.
J Child Neurol ; : 8830738241241786, 2024 Mar 27.
Article in English | MEDLINE | ID: mdl-38532733

ABSTRACT

Aicardi-Goutières syndrome is a genetic inflammatory disorder resulting in dispersed neurologic dysfunction. Despite a recognition of overall motor impairment, fine and visual motor skills are undercharacterized. We hypothesize that there is a spectrum of fine and visual motor skills in the Aicardi-Goutières syndrome population as captured by a standard outcome measure, the Peabody Developmental Motor Scales (PDMS-2), which will be proportional to overall disease severity.In a cohort of 74 subjects, the Peabody Developmental Motor Scales-2 grasping and visual-motor integration subtests were administered concurrently with the Aicardi-Goutières syndrome Severity Scale (severe [range 0-3], moderate [range 4-8], and attenuated [range 9-11]). The cohort was also compared by genotype and performance as defined by raw scores. The distribution of Peabody Developmental Motor Scales-2 scores within a genotype was assessed by interquartile ranges (IQRs).Peabody Developmental Motor Scales-2 grasping and visual-motor integration performance was the least variable in the TREX1-cohort (IQR: 10.00-12.00) versus the SAMHD1 and IFIH1 cohorts (IQR: 51.00-132.00 and 48.50-134.00, respectively). Neurologic severity highly correlated with both fine and visual motor skills (Spearman correlation: r = 0.87, 0.91, respectively). A floor effect (lowest 10% of possible scores) was observed within the severe cohort (n = 32/35), whereas a ceiling effect (top 10%) was observed in the attenuated cohort (n = 13/17).This study characterized the spectrum of fine and visual motor function in the Aicardi-Goutières syndrome population, which correlated with overall neurologic dysfunction. The Peabody Developmental Motor Scales-2 grasping and visual-motor integration showed promise as potential assessment tools in moderate and attenuated Aicardi-Goutières syndrome cohorts. A better understanding of fine and visual motor function in this population will benefit clinical care and clinical trial design.

2.
Mol Genet Metab ; 142(1): 108453, 2024 May.
Article in English | MEDLINE | ID: mdl-38522179

ABSTRACT

Growing interest in therapeutic development for rare diseases necessitate a systematic approach to the collection and curation of natural history data that can be applied consistently across this group of heterogenous rare diseases. In this study, we discuss the challenges facing natural history studies for leukodystrophies and detail a novel standardized approach to creating a longitudinal natural history study using existing medical records. Prospective studies are uniquely challenging for rare diseases. Delays in diagnosis and overall rarity limit the timely collection of natural history data. When feasible, prospective studies are often cross-sectional rather than longitudinal and are unlikely to capture pre- or early- symptomatic disease trajectories, limiting their utility in characterizing the full natural history of the disease. Therapeutic development in leukodystrophies is subject to these same obstacles. The Global Leukodystrophy Initiative Clinical Trials Network (GLIA-CTN) comprises of a network of research institutions across the United States, supported by a multi-center biorepository protocol, to map the longitudinal clinical course of disease across leukodystrophies. As part of GLIA-CTN, we developed Standard Operating Procedures (SOPs) that delineated all study processes related to staff training, source documentation, and data sharing. Additionally, the SOP detailed the standardized approach to data extraction including diagnosis, clinical presentation, and medical events, such as age at gastrostomy tube placement. The key variables for extraction were selected through face validity, and common electronic case report forms (eCRF) across leukodystrophies were created to collect analyzable data. To enhance the depth of the data, clinical notes are extracted into "original" and "imputed" encounters, with imputed encounter referring to a historic event (e.g., loss of ambulation 3 months prior). Retrospective Functional Assessments were assigned by child neurologists, using a blinded dual-rater approach and score discrepancies were adjudicated by a third rater. Upon completion of extraction, data source verification is performed. Data missingness was evaluated using statistics. The proposed methodology will enable us to leverage existing medical records to address the persistent gap in natural history data within this unique disease group, allow for assessment of clinical trajectory both pre- and post-formal diagnosis, and promote recruitment of larger cohorts.


Subject(s)
Rare Diseases , Humans , Rare Diseases/diagnosis , Rare Diseases/therapy , Rare Diseases/epidemiology , Longitudinal Studies , United States , Prospective Studies
3.
Mol Genet Metab ; 142(1): 108346, 2024 May.
Article in English | MEDLINE | ID: mdl-38368708

ABSTRACT

OBJECTIVE: Aicardi Goutières Syndrome (AGS) is a genetic interferonopathy associated with multisystemic heterogeneous disease and neurologic dysfunction. AGS includes a broad phenotypic spectrum which is only partially explained by genotype. To better characterize this variability, we will perform a systematic analysis of phenotypic variability in familial cases of AGS. METHODS: Among thirteen families, twenty-six siblings diagnosed with AGS were identified from the Myelin Disorders and Biorepository Project (MDBP) at the Children's Hospital of Philadelphia. Data were collected on the age of onset, genotype, neurologic impairment, and systemic complications. Neurologic impairment was assessed by a disease-specific scale (AGS Severity Scale) at the last available clinical encounter (range: 0-11 representing severe - attenuated phenotypes). The concordance of clinical severity within sibling pairs was categorized based on the difference in AGS Scale (discordant defined as >2-unit difference). The severity classifications were compared between sibling sets and by genotype. RESULTS: Five genotypes were represented: TREX1 (n = 4 subjects), RNASEH2B (n = 8), SAMHD1 (n = 8) ADAR1 (n = 4), and IFIH1 (n = 2). The older sibling was diagnosed later relative to the younger affected sibling (median age 7.32 years [IQR = 14.1] compared to 1.54 years [IQR = 10.3]). Common presenting neurologic symptoms were tone abnormalities (n = 10/26) and gross motor dysfunction (n = 9/26). Common early systemic complications included dysphagia and chilblains. The overall cohort median AGS severity score at the last encounter was 8, while subjects presenting with symptoms before one year had a median score of 5. The TREX1 cohort presented at the youngest age and with the most severe phenotype on average. AGS scores were discordant for 5 of 13 sibling pairs, most commonly in the SAMHD1 pairs. Microcephaly, feeding tube placement, seizures and earlier onset sibling were associated with lower AGS scores (respectively, Wilcoxon rank sum: p = 0.0001, p < 0.0001, p = 0.0426, and Wilcoxon signed rank: p = 0.0239). CONCLUSIONS: In this systematic analysis of phenotypic variability in familial cases, we found discordance between siblings affected by AGS. Our results underscore the heterogeneity of AGS and suggest factors beyond AGS genotype may affect phenotype. Understanding the critical variables associated with disease onset and severity can guide future therapeutic interventions and clinical monitoring. This report reinforces the need for further studies to uncover potential factors to better understand this phenotypic variability, and consequently identify potential targets for interventions in attempt to change the natural history of the disease.


Subject(s)
Autoimmune Diseases of the Nervous System , Exodeoxyribonucleases , Genetic Association Studies , Genotype , Nervous System Malformations , Phenotype , Siblings , Humans , Autoimmune Diseases of the Nervous System/genetics , Nervous System Malformations/genetics , Nervous System Malformations/complications , Female , Male , Child, Preschool , Child , Infant , Exodeoxyribonucleases/genetics , Phosphoproteins/genetics , Ribonuclease H/genetics , SAM Domain and HD Domain-Containing Protein 1/genetics , Adolescent , Monomeric GTP-Binding Proteins/genetics , Interferon-Induced Helicase, IFIH1/genetics , Mutation , RNA-Binding Proteins/genetics , Age of Onset , Severity of Illness Index
4.
Curr Probl Pediatr Adolesc Health Care ; 52(12): 101311, 2022 12.
Article in English | MEDLINE | ID: mdl-36470810

ABSTRACT

Leukodystrophies are defined as differences in normal myelin development and maintenance in the central nervous system. They typically present as white matter imaging abnormalities in young children with delayed developmental milestones. As the scientific community begins to better understand and research the mechanisms underlying leukodystrophies, clinical trials and approved therapies for specific disorders are becoming available. These interventions, ranging from repurposing of existing small molecules to recently approved gene therapies, are highly dependent on early diagnosis. It is essential for pediatricians to identify affected individuals promptly, but they face challenges including lack of awareness of the disorders and nonspecific symptom presentation (e.g., cognitive or motor developmental delay). This review provides five hypothetical clinical presentations and describes the disease mechanisms, typical symptoms, and treatments currently available for common leukodystrophies: Krabbe Disease, Aicardi Goutières Syndrome (AGS), Metachromatic leukodystrophy (MLD), Alexander Disease (AxD), Pelizaeus-Merzbacher Disease (PMD), and X-Linked Adrenoleukodystrophy (X-ALD.) This review educates pediatricians to recognize the presentation of leukodystrophies in affected children. These clinical vignettes can serve as a framework for pediatricians to identify potentially treatable rare disorders among their patients.


Subject(s)
Adrenoleukodystrophy , Autoimmune Diseases of the Nervous System , Leukodystrophy, Globoid Cell , Leukodystrophy, Metachromatic , Nervous System Malformations , Child , Humans , Child, Preschool , Leukodystrophy, Metachromatic/diagnosis , Leukodystrophy, Metachromatic/genetics , Leukodystrophy, Globoid Cell/diagnosis , Leukodystrophy, Globoid Cell/genetics , Adrenoleukodystrophy/diagnosis , Adrenoleukodystrophy/genetics
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