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Early childhood height, weight, and BMI development in children with monogenic obesity: a European multicentre, retrospective, observational study.

The Lancet. Child & adolescent health2025-04-18PubMed
Total: 81.5Innovation: 8Impact: 8Rigor: 8Citation: 9

Summary

In 147 children with genetically confirmed monogenic obesity, biallelic variants produced distinct early BMI trajectories: a steep rise in year one and a plateau thereafter (LEP/LEPR/MC4R), with accelerated linear growth only in biallelic MC4R. A BMI threshold around 24 kg/m2 at age two discriminated biallelic variants from controls.

Key Findings

  • From 6 months onward, biallelic LEP/LEPR/MC4R/POMC variants had substantially higher BMI than monoallelic MC4R and control children.
  • Biallelic LEP/LEPR/MC4R variants showed a steep first-year BMI rise followed by a plateau to age 5, whereas biallelic POMC did not plateau.
  • Accelerated linear growth occurred only in biallelic MC4R starting at age 1 year.
  • A BMI cut-off of approximately 24 kg/m2 at age 2 optimized discrimination of biallelic variants from controls.

Clinical Implications

In children with severe early-onset obesity, a BMI ≥24 kg/m2 at age two and specific growth patterns should prompt evaluation for biallelic leptin–melanocortin pathway variants and consideration of precision therapies.

Why It Matters

Provides actionable growth-based criteria for early recognition of monogenic obesity subtypes, enabling timely genetic testing and targeted therapy (e.g., setmelanotide).

Limitations

  • Retrospective design with heterogeneous measurement schedules across centres.
  • Potential referral bias toward more severe phenotypes; external validation needed.

Future Directions

Prospective validation of the BMI cut-off in diverse populations, integration with early endocrine biomarkers, and evaluation of impacts on timing and outcomes of genetic testing and targeted therapies.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
III - Retrospective multicentre observational cohort with genetic confirmation
Study Design
OTHER