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Sateesh Maddirevula

Publications and source records attributed to Sateesh Maddirevula.

2 recordsLinked to original sources

Expanding the clinical spectrum of ARV1-related disease beyond classical developmental and epileptic encephalopathy.

PURPOSE: Biallelic pathogenic variants in ARV1 are classically associated with developmental and epileptic encephalopathy-38 (DEE38), a severe infantile-onset disorder characterized by drug-resistant epilepsy, profound neurodevelopmental impairment, and early mortality. However, emerging evidence suggests broader phenotypic variability. We aimed to expand the clinical and molecular spectrum of ARV1-related disease through a retrospective case series and structured literature review. METHODS: We retrospectively identified five unrelated Saudi Arabian families with biallelic pathogenic or likely pathogenic ARV1 variants confirmed by whole-exome sequencing. Clinical, neurodevelopmental, neurophysiological, neuroimaging, and multisystem findings were reviewed. A structured literature review was performed to integrate previously reported cases. RESULTS: We identified marked clinical heterogeneity, including a novel ARV1 missense variant (c.214G>T; p.Asp72Tyr), which remains classified as a variant of uncertain significance according to ACMG/AMP criteria despite multiple computational predictions supporting a deleterious effect. Clinical severity ranged from severe developmental and epileptic encephalopathy with drug-resistant epilepsy and early mortality to milder static neurodevelopmental phenotypes with sustained seizure remission and long-term survival into adulthood. Families harboring the same homozygous frameshift variant exhibited markedly different clinical severity, supporting the absence of a strict genotype-phenotype correlation. Multisystem involvement included neurological, cardiac, skeletal, sensory, gastrointestinal, and genitourinary manifestations, and metabolic phenocopies contributed to diagnostic delays. CONCLUSION: Our findings demonstrate that ARV1-related disease represents a broad multisystem clinical spectrum, with classical DEE38 representing its most severe presentation rather than its sole manifestation. Recognition of milder phenotypes, prolonged seizure remission, and marked phenotypic variability has important implications for diagnosis, prognostic counseling, and multidisciplinary long-term surveillance. Early genomic testing should be considered in patients with early-onset epilepsy and multisystem involvement, particularly in consanguineous populations.

ARV1

RNU4ATAC-opathy: Clinical, molecular, and transcriptomic insights from a large cohort.

PURPOSE: We aim to better define the genotype and phenotype spectrum of RNU4ATAC-opathy, demonstrate the utility of RNA sequencing (RNA-seq) for variant classification, and highlight the challenges in detecting variants in this noncoding gene. METHODS: Sixty individuals with molecularly confirmed RNU4ATAC-opathy were recruited from multiple clinical and research centers internationally. RNA-seq was available for 7 affected individuals. RESULTS: We report the clinical and molecular findings of 60 individuals, including 42 not previously described, and 33 distinct RNU4ATAC variants, 13 of which are novel. Core features in this cohort-present in most individuals assessed and varying in severity-include microcephaly, short stature, skeletal anomalies, developmental delay, cerebral anomalies, skin conditions, and immune deficiency. Additional findings, such as diabetes, holoprosencephaly, and the absence of various core features in some individuals, highlight the broad phenotypic spectrum. All individuals who underwent RNA-seq showed a consistent pattern of minor intron retention. In 6 individuals, RNA-seq enabled the reclassification of variants of uncertain significance as likely pathogenic. Although RNU4ATAC variants are generally covered by clinical exomes, they are often overlooked in analysis because of their noncoding nature. CONCLUSION: This study highlights the variability of phenotypes and genotypes associated with RNU4ATAC-opathy. Laboratories should ensure RNU4ATAC and other noncoding genes are appropriately assessed by their analysis pipelines.

Lowry-Wood syndrome