ArticleProceedings of the National Academy of Sciences of the United States of America2020
The mechanoresponse of bone is closely related to the osteocyte lacunocanalicular network architecture.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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Who cites it
73 citing papers in PubMed.
- Biomaterials at the interface of bone-derived factors and inter-organ communication: Current evidence and future perspectives.Bioactive materials · 2026Review
- Divergent trajectories of structural accrual and matrix-level mechanical properties during alveolar bone maturation.Calcified tissue international · 2026Article
- Periodontitis as a Model for Inflammatory Uncoupling of Bone Remodeling.Journal of periodontal research · 2026Review
- A mathematical model of osteocyte network control of bone mechanical adaptation.Biomechanics and modeling in mechanobiology · 2026Article
- Osteocytes in the Metastatic Bone Niche: Mechanistic Pathways and Therapeutic Targets.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Nano-scale evidence for osteocyte network integration across bone remodeling interfaces in human bone revealed by synchrotron nanoCT.Materials today. Bio · 2026Article
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- A 50-year perspective on the use and potential of artiodactyl calcanei in bone adaptation studies.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Self-healing for the long haul: In situ automation delivers century-scale fracture recovery in structural composites.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cortical bone porosity is spatially heterogeneous and VEGF dependent in male bone.Disease models & mechanisms · 2026Article
- Mechanisms and management strategies for exacerbated bone loss following denosumab discontinuation.Frontiers in aging · 2026Review
- Managing Rebound Bone Loss After Denosumab Discontinuation: Mechanisms, Risk Stratification, and Sequential Therapy.Drug design, development and therapy · 2026Review
- Rethinking osteocyte modelsFrontiers in bioengineering and biotechnology · 2026Review
- The role and mechanisms of bone microenvironment regulators in osteoporosis: novel intervention strategies for addressing the challenges of aging.Frontiers in endocrinology · 2026Review
- Molecular drivers of osteogenesis imperfecta: a cellular and extracellular collagen disease.Clinical science (London, England : 1979) · 2025Review
- Finite element analysis of bone remodeling induced by swelling anchors considering heterogeneous properties.Biomechanics and modeling in mechanobiology · 2025Article
- Mind the gap: Standardising preclinical testing of bone-repair biomaterials.Biomaterials and biosystems · 2025Review
- Piezo1-mediated mechanotransduction controls osteocyte maturation and dendrite development via a YAP-CCN-Src signaling axis.Nature communications · 2025Article
- Effect of Solute Molecular Weights on Mass Transfer within the Rat Lacunar-Canalicular System under Gravity.Tissue engineering and regenerative medicine · 2025Article
13 more citing papers are in PubMed but not listed here.
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9 authors.
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Abstract
Organisms rely on mechanosensing mechanisms to adapt to changes in their mechanical environment. Fluid-filled network structures not only ensure efficient transport but can also be employed for mechanosensation. The lacunocanalicular network (LCN) is a fluid-filled network structure, which pervades our bones and accommodates a cell network of osteocytes. For the mechanism of mechanosensation, it was hypothesized that load-induced fluid flow results in forces that can be sensed by the cells. We use a controlled in vivo loading experiment on murine tibiae to test this hypothesis, whereby the mechanoresponse was quantified experimentally by in vivo micro-computed tomography (µCT) in terms of formed and resorbed bone volume. By imaging the LCN using confocal microscopy in bone volumes covering the entire cross-section of mouse tibiae and by calculating the fluid flow in the three-dimensional (3D) network, we could perform a direct comparison between predictions based on fluid flow velocity and the experimentally measured mechanoresponse. While local strain distributions estimated by finite-element analysis incorrectly predicts preferred bone formation on the periosteal surface, we demonstrate that additional consideration of the LCN architecture not only corrects this erroneous bias in the prediction but also explains observed differences in the mechanosensitivity between the three investigated mice. We also identified the presence of vascular channels as an important mechanism to locally reduce fluid flow. Flow velocities increased for a convergent network structure where all of the flow is channeled into fewer canaliculi. We conclude that, besides mechanical loading, LCN architecture should be considered as a key determinant of bone adaptation.
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