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Beckwith-Wiedemann spectrum (BWSp) is an overgrowth disorder caused by (epi)genetic alterations in chromosome 11p15. This study aimed to develop BWSp-specific growth charts and explore genotype/phenotype correlations with respect to growth. Heights, weights, and head circumferences were retrospectively collected from 581 individuals with BWSp from the Netherlands, Italy, and the United States. The Generalized Additive Models for Location, Scale, and Shape (GAMLSS) method was employed to develop the following charts: height-for-age, weight-for-age, BMI-for-age, and head circumference-for-age for males and females. Mean height, weight, and head circumference were compared with those of the growth charts generated by the World Health Organization (WHO). Individuals with BWSp show enhanced growth rate during puberty and adolescence, and all growth parameters were increased compared to WHO charts. Mean modeled height at 18 years of age was 180.6 cm for males and 166.3 cm for females (+0.6 SDS and +0.5 SDS, respectively, compared to WHO charts). In conclusion, these growth charts offer valuable insights into the growth patterns in BWSp individuals and provide a key tool for personalized medical care for individuals with BWSp.
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http://dx.doi.org/10.1002/ajmg.a.64073 | DOI Listing |
Int J Pediatr
August 2025
Inherited Metabolic Diseases Program, Department of Pediatrics and Adolescent Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Scarce data on classical phenylketonuria diagnosis and outcome in low-income Middle Eastern countries is available. The effect of phenylketonuria diet on growth parameters is still controversial. This 15-year retrospective study is aimed at examining the diagnosis, outcome, and growth of classical phenylketonuria patients following a phenylalanine-restricted Mediterranean diet in Lebanon.
View Article and Find Full Text PDFBioinform Adv
August 2025
Mount Sinai Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Motivation: Advances in high-throughput technologies have shifted the focus from bulk to single cell or spatial transcriptomic and proteomic analysis of tissues and cell cultures. The resulting increase in gene and/or protein lists leads to the subsequent growth of up- and downregulated pathways lists. This trend creates the need for pathway-network based integration strategies that allow quick exploration of shared and distinct mechanisms across datasets.
View Article and Find Full Text PDFStat Methods Med Res
September 2025
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
This study describes and compares the performance of several semi-parametric statistical modeling approaches to dynamically classify subjects into two groups, based on an irregularly and sparsely sampled curve. The motivating example of this study is the diagnosis of a complication following cardiac surgery, based on repeated measures of a single cardiac biomarker where early detection enables prompt intervention by clinicians. We first simulate data to compare the dynamic predictive performance over time for growth charts, conditional growth charts, a varying-coefficient model, a generalized functional linear model and longitudinal discriminant analysis.
View Article and Find Full Text PDFAnn Hum Biol
December 2025
Growth and Development Department, Hospital de Pediatría J.P. Garrahan, Buenos Aires, Argentina.
Background: Prader-Willi syndrome (PWS) is a complex genetic disorder characterised by infantile hypotonia, early-onset obesity, intellectual disability, hypopigmentation, small hands and feet, short stature, hypogonadism, and distinctive facial features.
Aim: To generate and report growth curves for height, sitting height, hands and feet length for Argentine children with Prader-Willi syndrome (PWS) without growth hormone treatment.
Subjects And Methods: A total of 1174 anthropometric measures were obtained from 167 children (82 boys) aged 0-19 years attending Hospital Garrahan between 1992 and 2019.
Biomolecules
August 2025
Signature Research Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, 8 College Road, Singapore 169857, Singapore.
Brain organoid technology has revolutionized in vitro modeling of human neurodevelopment and disease, providing unprecedented insights into cortical patterning, neural circuit assembly, and pathogenic mechanisms of neurological disorders. Critically, human brain organoids uniquely recapitulate human-specific developmental processes-such as the expansion of outer radial glia and neuromelanin-that are absent in rodent models, making them indispensable for studying human brain evolution and dysfunction. However, a major bottleneck persists: Extended culture periods (≥6 months) are empirically required to achieve late-stage maturation markers like synaptic refinement, functional network plasticity, and gliogenesis.
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