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Laurent Servais

Publications and source records attributed to Laurent Servais.

5 recordsLinked to original sources
PubMed2026

Emerging Therapies for Angelman Syndrome.

Angelman syndrome (AS) is a complex neurogenetic disorder characterized by severe global developmental delay, motor dysfunction, and epilepsy, primarily resulting from the lack of functional ubiquitin protein ligase E3A (UBE3A) protein expression in neurons. While current management remains largely symptomatic, the therapeutic landscape for AS is rapidly evolving. Emerging strategies aim to restore UBE3A function through upstream interventions, such as gene replacement therapy or unsilencing of the imprinted paternal allele, which is present but transcriptionally silenced in neurons due to genomic imprinting. This imprinting is mediated by the distal portion of a long non-coding RNA known as the UBE3A-antisense transcript (UBE3A-ATS). This UBE3A-ATS has become a key therapeutic target, with several approaches developed to unsilence the paternal allele, including antisense oligonucleotides (ASOs), CRISPR-based editing, synthetic microRNA, and other modalities. To date, three ASO programs have demonstrated promising signals in early clinical development, with reported improvements in clinical outcomes and electroencephalography (EEG) biomarkers. Given the potential for improved outcomes with early intervention, the inclusion of AS in broader genomic newborn screening programs is currently being explored. An early-intervention approach, or combination of approaches, holds significant promise for transforming the lives of individuals affected by AS with outcomes dependent on their age or genotype.

Humans↗
PubMed2026

A novel ASCC1 splice-site variant broadens the phenotypic spectrum of spinal muscular atrophy with congenital bone fractures type 2.

Spinal muscular atrophy with congenital bone fractures type 2 (SMABF2) is an ultra-rare neuromuscular disorder caused by pathogenic variants affecting the ASC-1 complex, most commonly ASCC1. The disorder is typically characterized by severe congenital hypotonia, prenatal or congenital fractures, and early respiratory failure. We report a girl with a novel homozygous intronic donor-site variant, c.95+5G>C, in ASCC1. In contrast to the classic SMABF2 phenotype, she had no congenital fractures and survived until 7 years of age. Her clinical presentation included generalized hypotonia, areflexia, minimal spontaneous movements, dysmorphic features related to fetal hypomobility, progressive respiratory insufficiency requiring tracheostomy and gastrostomy, and cardiac involvement. This case expands both the genetic and phenotypic spectrum of ASCC1-associated disease. The comparatively prolonged survival and absence of congenital fractures suggest that not all ASCC1 variants result in a fully loss-of-function phenotype. However, this interpretation remains hypothetical because functional RNA studies were not performed.

Humans↗
PubMed2025

Genetic Newborn Screening for Retinoblastoma: A Belgian Initiative Baby Detect.

Baby Detect Project, started in September 2022, aimed to create a newborn screening test using targeted next-generation sequencing for all early-onset, treatable, and serious conditions. The elaborated gene panel covers 405 genes, associated with 165 genetic conditions, and includes RB1, linked to retinoblastoma, the only oncological disease tested for. Germline RB1 mutations concern around 50% of all retinoblastoma cases and 100% of the most severe, bilateral cases. Ninety percent of them occur de novo, which delays the diagnosis by about a year with subsequent loss of vision and sometimes the eye itself. Detecting children with germline RB1 mutation at birth would greatly improve functional and anatomic outcomes, limiting invasive treatments and general anesthesias through early childhood. We discuss herein the novel approach of population screening, the rationale for newborn testing for RB1 mutations, the incidence of expected cases, the reliability of the test and its costs. The next step is to move to a nation-scale population; this initiative marks a landmark in retinoblastoma patients' care.

Humans↗
PubMed2025

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range of genetic disorders included in newborn screening. Substantial variability in gene selection across programs exists, highlighting the need for a systematic approach to prioritize genes. METHODS: We assembled a data set comprising 25 characteristics about each of the 4390 genes included in 27 NBSeq programs. We used regression analysis to identify several predictors of inclusion and developed a machine learning model to rank genes for public health consideration. RESULTS: Among 27 NBSeq programs, the number of genes analyzed ranged from 134 to 4299, with only 74 (1.7%) genes included by over 80% of programs. The most significant associations with gene inclusion across programs were presence on the US Recommended Uniform Screening Panel (inclusion increase of 74.7%, CI: 71.0%-78.4%), robust evidence on the natural history (29.5%, CI: 24.6%-34.4%), and treatment efficacy (17.0%, CI: 12.3%-21.7%) of the associated genetic disease. A boosted trees machine learning model using 13 predictors achieved high accuracy in predicting gene inclusion across programs (area under the curve = 0.915, R2 = 84%). CONCLUSION: The machine learning model developed here provides a ranked list of genes that can adapt to emerging evidence and regional needs, enabling more consistent and informed gene selection in NBSeq initiatives.

Humans↗