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Related Experiment Video

Updated: Jul 15, 2026

Trabecular Bone Microarchitecture Evaluation in an Osteoporosis Mouse Model

Trabecular Bone Microarchitecture Evaluation in an Osteoporosis Mouse Model

Published on: September 8, 2023

Accretion of bone quantity and quality in the developing mouse skeleton.

Lisa M Miller¹, William Little, Anne Schirmer

¹National Synchrotron Light Source, Brookhaven National Laboratory, Upton, New York 11973-5000, USA. lmiller@bnl.gov

Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research

|April 4, 2007

Summary

Bone mineral formation in mice is rapid, but bone stiffening significantly lags behind. This highlights the critical role of bone mineral quality in developing skeletal integrity during early growth.

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Area of Science:

Skeletal Biology
Biomineralization
Mechanobiology

Background:

The developing skeleton must rapidly gain bone quality and quantity to withstand mechanical forces.
Early bone development in mice is crucial for understanding skeletal maturation.
Specific compositional properties are hypothesized to determine bone stiffness.

Purpose of the Study:

To investigate early bone development in mice.
To test the hypothesis that compositional properties influence bone stiffness.

Main Methods:

Tibias from BALB mice (1-40 days old) were analyzed using micro-computed tomography (muCT), Fourier transform infrared microspectroscopy, and nanoindentation.
Adult (450-day-old) mouse tibias served as controls.

Main Results:

By 1 day of age, mineralization (degree, tissue mineral density, crystallinity) reached 36-87% of adult values.
Elastic modulus at 1 day was only 14% of adult values, reaching 89% by 40 days.
Elastic modulus correlated positively with mineralization and crystallinity, and negatively with collagen cross-linking.

Conclusions:

Bone stiffness is modulated by chemical and morphometric properties during early growth.
Bone stiffening significantly lags behind initial mineral formation.
Bone mineral quality is essential for optimizing matrix integrity.