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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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Noonan Syndrome Growth Charts and Genotypes: 15-Year Longitudinal Single-Centre Study.
Marco Cappa, Francesco d'Aniello1, Maria Cristina Digilio2,3
1Research area for Innovative Therapies for Endocrinopathies, IRCCS "Bambino Gesù" Children's Hospital, Rome, Italy.
Hormone Research in Paediatrics
|July 4, 2024
Summary
Growth charts for Noonan syndrome (NS) are now available, showing individuals with NS are significantly shorter and lighter than the general population. PTPN11 mutations are linked to reduced growth in children with NS.
Area of Science:
- Genetics
- Pediatrics
- Endocrinology
Background:
- Growth patterns in Noonan syndrome (NS) are not well-established.
- Understanding NS growth is crucial for clinical management and patient care.
Purpose of the Study:
- To develop growth reference curves for pediatric patients with Noonan syndrome.
- To investigate correlations between NS growth, genetic mutations, and clinical phenotypes.
Main Methods:
- A 15-year retrospective, observational study of 190 children with NS (excluding those on growth hormone treatment).
- Development of sex-specific centile curves for height, weight, BMI, and height velocity.
- Genotypic analysis to identify common mutations (PTPN11, SOS1) and correlate with growth parameters.
Main Results:
- Noonan syndrome growth curves show significantly reduced height and weight compared to the general Italian population (50th percentile aligns with 3rd percentile).
- Patients with PTPN11 mutations exhibited lower height and weight at age 5 compared to those with other mutations.
- High prevalence of cardiovascular anomalies (85.3%) and cryptorchidism in males (48.1%) noted; no association found between cardiac anomalies and PTPN11 status.
Conclusions:
- The study provides the first longitudinal growth data and reference curves for Noonan syndrome patients.
- These growth curves serve as a valuable clinical tool for managing NS, aiding in monitoring and intervention.
- Genotype-phenotype correlations highlight the impact of specific mutations, like PTPN11, on growth trajectories in NS.
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