Comprehensive morphometric assessment of deltoid muscle development in children: A cross-sectional study

eBioMedicineeBioMedicineVolume 86, December 2022, 104367Journal home page for eBioMedicineSummaryBackground

Normative values for different morphometric parameters of muscle fibres during paediatric development, i.e. from 0 to 18 years, are currently unavailable. They would be of major importance to accurately evaluate pathological changes and could be used as reference biomarkers for evaluating treatment response in clinical trials, or physiological adjustments in sports or ageing.

Methods

Data were derived from 482 images with a total of 33 094 fibres from 10 μm cross-sections of snap-frozen muscle from 83 deltoid muscle biopsies from patients, 0–18 years, without neuromuscular pathology stained with ATPase 9.4. Data was acquired and analysed with patented image analysis algorithms from “CARPACCIO.cloud”. Several parameters were extracted or calculated, including cross-sectional area (CSA), fibre type, circularity, as well as the Minimum diameter of Feret (MinFeret).

Findings

This study illustrates changes in quantitative parameters for muscle morphology over the course of paediatric development and the pivotal changes occurring around puberty. Only fibre size parameters (MinFeret, CSA) are dependent on gender, and only after puberty. All other parameters vary in a similar manner for females and males. The proportion of type 1 fibres is essentially constant from birth to age 10, decreasing to ≈40% by age 18. Circularity decreases with age, to plateau after age 10 for both fibre types.

Interpretation

Normative values and reference charts for muscle fibre types in this age range have been generated to allow comparison of data from patients in pathology laboratories working on neuromuscular diseases.

Funding

BPI FRANCE, PULSALYS, Association de l’Institut de Myologie, French National Research Agency (ANR), LABEX CORTEX of Université de Lyon.

Keywords

Normal skeletal muscle

Human

Morphometry

Paediatric age

Automated analysis

© 2022 The Authors. Published by Elsevier B.V.

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