Evidence map›Paper›PMID 40317328›Full record

ArticleBiomechanics and modeling in mechanobiology2025

A cellular-meso-macro three-scale approach captures remodelling of cancellous bone in health and disease.

Areti Papastavrou, Peter Pivonka, Ina Schmidt, Paul Steinmann

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Areti PapastavrouFaculty of Mechanical Engineering, Technische Hochschule Nürnberg Georg Simon Ohm, Nuremberg, Germany. areti.papastavrou@th-nuernberg.de.ORCID http://orcid.org/0000-0002-4541-6208
Peter PivonkaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.ORCID http://orcid.org/0000-0001-9183-530X
Ina SchmidtFaculty of Mechanical Engineering, Technische Hochschule Nürnberg Georg Simon Ohm, Nuremberg, Germany.
Paul SteinmannInstitute of Applied Mechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0003-1490-947X

Funding

Bayerische Forschungsallianz BayIntAn_THN_2022_27Deutsche Forschungsgemeinschaft 377472739/GRK 2423/1-2019
6 · The paper itself

Abstract

Remodelling of cancellous bone due to the combined activity of osteoclasts and osteoblasts at the cellular scale has notable repercussions both at the meso (tissue) as well as the macro (organ) scale. At the meso scale, trabeculae adapt their geometry, typically in terms of their cross section, whereas the nominal bone density evolves at the macro scale, all in response to habitual mechanical loading and its perturbations. To capture this intricate scale coupling, we here propose a novel conceptual three-scale approach to the remodelling of cancellous bone. Therein, we combine a detailed bone cell population model at the cellular scale with an idealised trabecular truss network model with adaptive cross sections, that are driven by the cell population model, at the meso scale, which is eventually upscaled to a continuum bone density adaption model at the macro scale. Algorithmically, we solve the meso and macro problems concurrently within a finite element setting and update the cell activity in a staggered fashion. Our benchmark simulations demonstrate the applicability and effectivity of the three-scale approach to analyse bone remodelling in health and disease (here exemplified for the example of osteoporosis) with rich details, e.g. evolving anisotropy, resolved at each scale.

Indexed as

Bone RemodelingCancellous BoneHealthAlgorithmsBone DensityComputer SimulationFinite Element AnalysisHumansModels, BiologicalOsteoblastsOsteoclastsOsteoporosisBone cell population modelCancellous meso architectureMacro scale continuum approachMechanobiologically-induced remodelling of cancellous boneMultiscale bone remodellingThree-scale approach

Identifiers

PMID40317328
PMCPMC12162746

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.