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Bone Disorders

Bone Disorders

Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...

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Related Experiment Video

Updated: Oct 2, 2025

Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model

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Published on: September 8, 2023

Temporal and Quantitative Transcriptomic Differences Define Sexual Dimorphism in Murine Postnatal Bone Aging.

Darlene Lu¹, Serkalem Demissie¹, Nina B Horowitz²

¹Department of Biostatistics Boston University School of Public Health Boston MA USA.

|March 1, 2022

Summary

This summary is machine-generated.

This study reveals that sex-specific gene expression patterns in bone over time drive skeletal development differences. These temporal changes in gene activity explain how males and females develop distinct bone structures and remodeling processes.

Keywords:

BONE AGING SEX‐SPECIFIC TEMPORAL TRANSCRIPTOMIC CLUSTER ANALYSIS

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Cantilever Bending of Murine Femoral Necks

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Published on: January 5, 2022

Area of Science:

Skeletal Biology
Genomics
Developmental Biology

Background:

Skeletal development exhibits sexual dimorphism, influenced by time.
Understanding the molecular basis of these sex-specific temporal patterns is crucial.

Purpose of the Study:

To investigate sex- and time-specific transcriptomic differences in bone tissue.
To identify molecular processes underlying postnatal skeletal sexual dimorphism.

Main Methods:

Analyzed whole bone transcriptomes over an 18-month period.
Screened the Gene Expression Omnibus (GEO) database for sex-specific bone gene sets.
Used temporal clustering and phenome-level assessments.

Main Results:

Sex-associated transcriptomic changes involved bone, vascular, and connective tissue ontologies.
Identified two sex-specific gene expression patterns: one for skeletal patterning/morphology (earlier in females), another for coupled remodeling (higher and broader peak in females during reproductive period).
Phenome and cellular analyses supported distinct skeletogenic cell populations for growth and remodeling.

Conclusions:

Skeletal sexual dimorphism results from sex-specific, temporally distinct processes controlling morphometric growth.
Later coupled remodeling during the reproductive period is also sex-specifically regulated over time.