Manipulating load-induced fluid flow in vivo to promote bone adaptation

Combined Effects of Mechanical Loading and Piezo1 Chemical Activation on 22-Months-Old Female Mouse Bone Adaptation

With age, bones mechanosensitivity is reduced, which limits their ability to adapt to loading. The exact mechanism leading to this loss of mechanosensitvity is still unclear, making developing effective treatment challenging. Current treatments mostly focus on preventing bone mass loss (such as bisphosphonates) or promoting bone formation (such as Sclerostin inhibitors) to limit the decline of bones mass. However, treatments do not target the cause of bone mass loss which may be, in part, due to the bone's inability to initiate a normal bone mechanoadaptation response. In this work, we investigated the effects of 2 weeks of tibia loading, and Piezo1 agonist injection in vivo on 22-month-old mouse bone adaptation response. We used an optimized loading profile, which induced high fluid flow velocity and low strain magnitude in adult mouse tibia. We found that tibia loading and Yoda2 injection have an additive effect on increasing cortical bone parameters in 22-month-old mice. In vivo osteocytes calcium signaling imaging suggests that Yoda2 is able to reach osteocytes and activate Piezo1. This combination of mechanical and chemical stimulation could be a promising treatment strategy to help promote bone formation in patients who have low bone mass due to aging.

The Flow of Life: Convergent Approaches to Understanding Musculoskeletal Health from Molecular- to Meso-Length Scales

In the current perspective and review article, we address the human body as a living ecosystem with collecting watersheds and draining hydrosheds; we integrate our discoveries over the past quarter of a century and pose the critical open research questions to be addressed going forward, with the aim to improve cell, tissue, organ and organismal health. First, we address the flow of fluid through the tissues of the musculoskeletal system, after which we describe the interactions of the fluid, at multiple lengths and time scales, with the molecular to macroscopic non-fluid tissue components, discussing bone and tissues in the context of "living" chromatography and/or electrophoresis columns. Thereafter, we discuss the implications of functional barrier integrity, and the effects of cytokines on active barrier function and molecular transport between organ systems, tissue compartments, and within tissues. In addition, we address the fluid and its flow and the multi-physics implications thereof for the living inhabitants of tissues, i.e., the cells. Finally, we describe the implications of the solid and fluid components and the cellular inhabitants on ecosystem health, where the tissues and organs comprise the organism form interacting ecosystems throughout life and in the context of health and disease. By taking convergent approaches to understanding musculoskeletal, human and environmental health (which themselves are interdependent), we hope to pave new paths of innovation and discovery, to improve the lives of our worlds' inhabitants, from the worlds of our bone and joints and bodies to the interacting ecosystems of our Earth to unknown worlds beyond our current understanding.

3D spatial distribution of Sost mRNA and sclerostin protein expression in response to in vivo tibia loading in female mice

Bones adapt to external mechanical loads through a process known as mechanoadaptation. Osteocytes are the bone cells that sense the mechanical environment and initiate a biological response. Investigating the changes in osteocyte molecular expression following mechanical loading has been instrumental in characterizing the regulatory pathways involved in bone adaptation. However, current methods for examining osteocyte molecular expression do not preserve the three-dimensional structure of the bone, which plays a critical role in the mechanical stimuli sensed by the osteocytes and their spatially controlled biological responses. In this study, we used WISH-BONE (Whole-mount In Situ Histology of Bone) to investigate the spatial distribution of Sost-mRNA transcripts and its encoded protein, sclerostin, in 3D mouse tibia midshaft following in vivo tibia loading. Our findings showed a decrease in the percentage of Sost-positive osteocytes, after loading, along the posterior-lateral side of the tibia. The number of sclerostin-positive osteocytes were found to significantly decrease at a very specific 2D location of the tibia after loading. However, in 3D, the total number of sclerostin-positive osteocytes was similar between loaded and control legs. This work is the first to provide a 3D analysis of Sost and sclerostin distribution in loaded versus contralateral mouse tibia midshafts. It also highlights the importance of the bone region analyzed and the method utilized when interpreting mechanoadaptation results. WISH-BONE represents a powerful tool for further characterization of mechanosensitive genes regulation in bone and holds the potential for advancing the development of new treatments targeting mechanosensitivity-related bone disorders.

Non-Newtonian lacuno-canalicular fluid flow in bone altered by mechanical loading and magnetic field

As humans age, they experience deformity and a decrease in their bone strength, such brittleness in the bones ultimately lead to bone fracture. Magnetic field exposure combined with physical exercise may be useful in mitigating age-related bone loss by improving the canalicular fluid motion within the bone's lacuno-canalicular system (LCS). Nevertheless, an adequate amount of fluid induced shear stress is necessary for the bone mechano-transduction and solute transport in the case of brittle bone diseases. The underlying mechanisms of how magnetic fields, in combination to mechanical loading, affects the canalicular fluid motion still need to be explored. Accordingly, this study aims to develop a computer model to investigate the role of magnetic fields on loading-induced canalicular fluid flow in a curvy lacunar canalicular space with irregular osteocyte cell processes and walls. Moreover, this study considers canalicular fluid as non-Newtonian fluid, i.e., Jeffery fluid. In addition, a machine learning model was further employed for the estimation of parameters which significantly influence the canalicular fluid flow in response to loading and magnetic field. The results show that static magnetic field modulates the loading-induced canalicular fluid flow. Additionally, present study accelerates the fluid induced wall shear stress in case of osteoporosis.

Analysis of bone structure in PEROMYSCUS: Effects of burrowing behavior

We compare the effects of burrowing behavior on appendicular bone structure in two Peromyscus (deer mouse) species. P. polionotus creates complex burrows in their territories, while P. eremicus is a non-burrowing nesting mouse. We examined museum specimens' bones of wild-caught mice of the two species and lab-reared P. polionotus not given the opportunity to burrow. Bones were scanned using micro-computed tomography, and cortical and trabecular bone structural properties were quantified. Wild P. polionotus mice had a larger moment of area in the ulnar and tibial cortical bone compared with their lab-reared counterparts, suggesting developmental adaptation to bending resistance. Wild P. polionotus had a larger normalized second moment of area and cross-sectional area in the tibia compared with P. eremicus. Tibial trabecular analysis showed lower trabecular thickness and spacing in wild P. polionotus than in P. eremicus and femoral analysis showed wild P. polionotus had lower thickness than P. eremicus and lower spacing than lab-reared P. polionotus, suggesting adaptation to high loads from digging. Results lay the groundwork for future exploration of the ontogenetic and evolutionary basis of mechanoadaptation in Peromyscus.

WISH-BONE: Whole-mount in situ histology, to label osteocyte mRNA and protein in 3D adult mouse bones

Bone is a three-dimensional (3D) highly dynamic tissue under constant remodeling. Commonly used tools to investigate bone biology require sample digestion for biomolecule extraction or provide only two-dimensional (2D) spatial information. There is a need for 3D tools to investigate spatially preserved biomarker expression in osteocytes. In this work, we present a new method, WISH-BONE, to label osteocyte messenger RNA (mRNA) and protein in whole-mount mouse bone. For mRNA labeling, we used hybridization chain reaction-fluorescence in situ hybridization (HCR-FISH) to label genes of interest in osteocytes. For protein labeling, samples were preserved using an epoxy-based solution that protects tissue structure and biomolecular components. Then an enzymatic matrix permeabilization step was performed to enable antibody penetration. Immunostaining was used to label various proteins involved in bone homeostasis. We also demonstrate the use of customized fluorescent nanobodies to target and label proteins in the cortical bone (CB). However, the relatively dim signal observed from nanobodies' staining limited detection. mRNA and protein labeling were performed in separate samples. In this study, we share protocols, highlight opportunities, and identify the challenges of this novel 3D labeling method. They are the first protocols for whole-mount osteocyte 3D labeling of mRNA and protein in mature mouse bones. WISH-BONE will allow the investigation of molecular signaling in bone cells in their 3D environment and could be applied to various bone-related fields of research.

Influence of interstitial fluid pressure, porosity, loading magnitude, and anisotropy in cortical bone adaptation

Adaptive elasticity in cortical bone has traditionally been modeled using Strain Energy Density (SED). Recent studies have highlighted the importance of interstitial fluid in bone adaptation, yet no research has quantified the role of interstitial fluid pressure and its effects, specifically incorporating both SED and interstitial fluid pressure in the adaptation process. This study introduces a novel formulation combining theory of porous media and theory of adaptive elasticity that considers both SED and interstitial fluid's pressure in cortical bone adaptation. The formulation is solved using ANSYS Fluent and a MATLAB script, and sensitivity analyses were conducted, analyzing various porosities, loading magnitudes, anisotropic properties of cortical bone, and involvement coefficients of interstitial fluid's pressure. This study reveals that bones with different vascular porosities (PV) tend to achieve similar density distributions under uniform loading over time. This highlights the significant role of interstitial fluid pressure in accelerating the convergence to optimal bone properties, especially in specimens with larger PV porosities. The findings emphasize the importance of fluid pressure in bone remodeling, aligning with previous studies. Furthermore, this study demonstrates that considering transversely isotropic material properties can significantly alter the remodeling configuration compared to isotropic material properties. This highlights the importance of accurately representing the anisotropic nature of cortical bone in models to better predict its adaptive responses. However, aspects such as fluid density variations and bone geometry changes remain unexplored, suggesting directions for future research. Overall, this research enhances the understanding of cortical bone adaptation and its mechanical interactions.

Adaptive enhancement of apatite crystal orientation and Young's modulus under elevated load in rat ulnar cortical bone

Functional adaptation refers to the active modification of bone structure according to the mechanical loads applied daily to maintain its mechanical integrity and adapt to the environment. Functional adaptation relates to bone mass, bone mineral density (BMD), and bone morphology (e.g., trabecular bone architecture). In this study, we discovered for the first time that another form of bone functional adaptation of a cortical bone involves a change in bone quality determined by the preferential orientation of apatite nano-crystallite, a key component of the bone. An in vivo rat ulnar axial loading model was adopted, to which a 3-15 N compressive load was applied, resulting in approximately 440-3200 μɛ of compression in the bone surface. In the loaded ulnae, the degree of preferential apatite c-axis orientation along the ulnar long axis increased in a dose-dependent manner up to 13 N, whereas the increase in BMD was not dose-dependent. The Young's modulus along the same direction was enhanced as a function of the degree of apatite orientation. This finding indicates that bone has a mechanism that modifies the directionality (anisotropy) of its microstructure, strengthening itself specifically in the loaded direction. BMD, a scalar quantity, does not allow for load-direction-specific strengthening. Functional adaptation through changes in apatite orientation is an excellent strategy for bones to efficiently change their strength in response to external loading, which is mostly anisotropic.

Using Finite Element Modeling in Bone Mechanoadaptation

PURPOSE OF THE REVIEW

Bone adapts structure and material properties in response to its mechanical environment, a process called mechanoadpatation. For the past 50 years, finite element modeling has been used to investigate the relationships between bone geometry, material properties, and mechanical loading conditions. This review examines how we use finite element modeling in the context of bone mechanoadpatation.

RECENT FINDINGS

Finite element models estimate complex mechanical stimuli at the tissue and cellular levels, help explain experimental results, and inform the design of loading protocols and prosthetics. FE modeling is a powerful tool to study bone adaptation as it complements experimental approaches. Before using FE models, researchers should determine whether simulation results will provide complementary information to experimental or clinical observations and should establish the level of complexity required. As imaging technics and computational capacity continue increasing, we expect FE models to help in designing treatments of bone pathologies that take advantage of mechanoadaptation of bone.