In vivo microCT-based time-lapse morphometry reveals anatomical site-specific differences in bone (re)modeling serving as baseline parameters to detect early pathological events.

Bone (re)modeling baseline parameters Early osteolytic events In vivo microcomputed tomography (microCT) Tibia vs. femur Time-lapse morphometry

Journal

Bone
ISSN: 1873-2763
Titre abrégé: Bone
Pays: United States
ID NLM: 8504048

Informations de publication

Date de publication:
08 2022
Historique:
received: 03 02 2022
revised: 09 05 2022
accepted: 09 05 2022
pubmed: 16 5 2022
medline: 16 6 2022
entrez: 15 5 2022
Statut: ppublish

Résumé

The bone structure is very dynamic and continuously adapts its geometry to external stimuli by modeling and remodeling the mineralized tissue. In vivo microCT-based time-lapse morphometry is a powerful tool to study the temporal and spatial dynamics of bone (re)modeling. Here an advancement in the methodology to detect and quantify site-specific differences in bone (re)modeling of 12-week-old BALB/c nude mice is presented. We describe our method of quantifying new bone surface interface readouts and how these are influenced by bone curvature. This method is then used to compare bone surface (re)modeling in mice across different anatomical regions to demonstrate variations in the rate of change and spatial gradients thereof. Significant differences in bone (re)modeling baseline parameters between the metaphyseal and epiphyseal, as well as cortical and trabecular bone of the distal femur and proximal tibia are shown. These results are validated using conventional static in vivo microCT analysis. Finally, the insights from these new baseline values of physiological bone (re)modeling were used to evaluate pathological bone (re)modeling in a pilot breast cancer bone metastasis model. The method shows the potential to be suitable to detect early pathological events and track their spatio-temporal development in both cortical and trabecular bone. This advancement in (re)modeling surface analysis and defined baseline parameters according to distinct anatomical regions will be valuable to others investigating various disease models with site-distinct local alterations in bone (re)modeling.

Identifiants

pubmed: 35569733
pii: S8756-3282(22)00109-0
doi: 10.1016/j.bone.2022.116432
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116432

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Sarah A E Young (SAE)

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Maximilian Rummler (M)

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany; Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada; Department of Pediatric Surgery, McGill University, Montreal, Canada.

Hubert M Taïeb (HM)

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Daniela S Garske (DS)

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Agnes Ellinghaus (A)

Julius Wolff Institute & Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health and Charité-Universitätsmedizin Berlin, Berlin, Germany.

Georg N Duda (GN)

Julius Wolff Institute & Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health and Charité-Universitätsmedizin Berlin, Berlin, Germany.

Bettina M Willie (BM)

Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada; Department of Pediatric Surgery, McGill University, Montreal, Canada.

Amaia Cipitria (A)

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Potsdam, Germany; Biodonostia Health Research Institute, Group of Bioengineering in Regeneration and Cancer, San Sebastian, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain. Electronic address: amaia.cipitria@mpikg.mpg.de.

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Classifications MeSH