Biology subjects

Marques, F. C.

Publications and source records attributed to Marques, F. C..

5 recordsLinked to original sources

bioRxiv2026

Dysregulated mechanoregulation of load-induced bone adaptation in prematurely aged mice: insights from a micro-multiphysics agent-based model

Bone exhibits remarkable ability to adapt to varying mechanical demands. Aging can lead to changes in distribution of cells and proteins that directly affect bone formation and resorption. Given the inherent challenges of quantifying these cellular and protein alterations in vivo, innovative in silico tools have proven useful to contribute to studying the impact of aging on bone mechanobiology and associated cellular mechanisms. Here, we employed an agent-based in silico analysis of in vivo micro-computed tomography data of prematurely aged mice to examine the effects of aging and mechanical loading on bone cells and their mechanome, the intrinsic cellular system sensing mechanical forces. Our results from applying a micro-multiphysics agent-based model to an in vivo model of premature aging (PolG) showed that aging disrupts mechanoregulation of load-induced bone formation and resorption by eliminating the increase in bone formation through diminished osteoblast activity and mineralization, alongside mechanomic alterations. Specifically, prematurely aged mice exhibited a higher frequency of quiescence at higher mechanical signals and the simulations showed that the number of lining cells and osteoclasts per bone surface increased with age. Normalized trabecular thickness was more positively associated with the ratio of osteoblast to osteoclast number (Ob.N/Oc.N) in the aged control and aged loading groups (R2=0.58 and 0.61), than in young control and loading groups (R2=0.06 and 0.27), indicating dysregulated remodeling dynamics during aging. In conclusion, our results show that in silico tools can give valuable insights into the changes in mechanoregulation and cellular mechanisms occurring under physiological and aging conditions.

synthetic biology↗

bioRxiv2026

The Mechanosensitivity of the Regenerative Response in Bone is Retained with Aging in a Mouse Model of Premature Aging.

Aging impairs the regenerative capacity of bone and is associated with poor healing outcomes. The mechanical environment is of fundamental importance to the regenerative response in bone - yet the effect of aging on the mechano-responsive capacity of bone regeneration remains largely unresolved. To investigate age-dependent mechanobiological responses in bone regeneration, we established an experimental framework consisting of: (i) an established femur defect mouse model, (ii) the use of PolgAD257A/D257A (PolgA) mice - a mouse model of premature aging, and (iii) our recently established spatial transcriptomics-based "mechanomics" platform which permits gene expression to be analyzed as a function of the local in vivo mechanical environment. Aging impaired the regenerative response in PolgA mice, resulting in an increased occurrence of delayed and non-unions, delayed bone formation / resorption responses, impaired osteogenesis and delayed mineralization of new bone. Cyclic mechanical loading significantly enhanced the regenerative response in young PolgA mice inducing sustained bone formation, suppressing bone resorption, and enhancing mineralization, with the strongest effects observed in peripheral regions of the fracture site. In aged PolgA mice, the mechanosensitivity of the regenerative response was retained with an anabolic response localized to the defect center. Cyclic mechanical loading applied during the reparative and remodelling phases of fracture healing thus represents a potential translational strategy to harness the mechanosensitivity of aged bone.

physiology↗

bioRxiv2024

Mechanical loading potentiates the bone response of anabolic osteoporosis treatments through mechanoregulation at the tissue level

Bones ability to adapt to mechanical demands is governed by mechanoregulation, the process by which cells sense and respond to mechanical stimuli to maintain skeletal integrity. In osteoporosis, increased bone resorption activity leads to structural deterioration and elevated fracture risk. While existing pharmacological therapies aim to restore bone mass to reduce fracture risk, it is unclear how they modulate mechanoregulation, especially when combined with physical interventions. Here, we investigate the joint effects of load-bearing physical and pharmacological treatment in a female mouse model of osteoporosis using longitudinal in vivo micro-computed tomography and computational mechanics. We demonstrate that mechanical loading additively and synergistically enhanced predicted strength, bone volume, and mechanoregulation parameters when combined with anabolic therapies (parathyroid hormone and sclerostin antibody) but not with anti-catabolic treatments (bisphosphonates). Increases in predicted strength are associated with reductions in bone resorption rates, shifts in the (re)modeling thresholds as anticipated by Frost in the mechanostat theory, and the modeling capacity of anabolic pharmacological treatments. These findings underscore the therapeutic potential of combining anabolic pharmacological therapies with load-bearing physical activity, particularly in early treatment phases, to optimize bone adaptation and fracture prevention in osteoporosis management.

bioengineering↗

bioRxiv2022

Trabecular bone remodeling in the ageing mouse: a micro-multiphysics agent-based in silico model using cell-type-specific mechanomic profiles

Bone remodeling is regulated by the interaction between different cells and tissues across many spatial and temporal scales. Notably, in silico models are regarded as powerful tools to further understand the signaling pathways that regulate this intricate spatial cellular interplay. To this end, we have established a 3D multiscale micro-multiphysics agent-based (micro-MPA) in silico model of trabecular bone remodeling using longitudinal in vivo data from the sixth caudal vertebra (CV6) of PolgA(D257A/D257A) mice, a mouse model of premature aging. Our model includes a variety of cells as single agents and receptor-ligand kinetics, mechanomics, diffusion and decay of cytokines which regulate the cells behavior. We highlighted its capabilities by simulating trabecular bone remodeling in the CV6 of 5 mice over 4 weeks and we evaluated the static and dynamic morphometry of the trabecular bone microarchitecture. Based on the progression of the average trabecular bone volume fraction (BV/TV), we identified a configuration of the model parameters to simulate homeostatic trabecular bone remodeling, here named basal. Crucially, we also produced anabolic, anti-anabolic, catabolic and anti-catabolic responses with an increase or decrease by one standard deviation in the levels of osteoprotegerin (OPG), receptor activator of nuclear factor kB ligand (RANKL), and sclerostin (Scl) produced by the osteocytes. Our results showed that changes in the levels of OPG and RANKL were positively and negatively correlated with the BV/TV values after 4 weeks in comparison to basal levels, respectively. Conversely, changes in Scl levels produced small fluctuations in BV/TV in comparison to the basal state. From these results, Scl was deemed to be the main driver of equilibrium while RANKL and OPG were shown to be involved in changes in bone volume fraction with potential relevance for age-related bone features. Ultimately, this micro-MPA model provides valuable insights into how cells respond to their local mechanical environment and can help to identify critical pathways affected by degenerative conditions and ageing.

bioengineering↗

bioRxiv2021

Bone mechanoregulation allows subject-specific load estimation based on time-lapsed micro-CT and HR-pQCT in vivo

Patients at high risk of fracture due to metabolic diseases frequently undergo long-term antiresorptive therapy. However, in some patients treatment is unsuccessful in preventing fractures or causes severe adverse health outcomes. Understanding load driven bone remodelling, i.e. mechanoregulation, is critical to understand which patients are at risk for progressive bone degeneration and may enable better patient selection or adaptive therapeutic intervention strategies. Bone microarchitecture assessment using high-resolution peripheral quantitative computed tomography (HR-pQCT) combined with computed mechanical loads has successfully been used to investigate bone mechanoregulation at the trabecular level. To obtain the required mechanical loads that induce local variances in mechanical strain and cause bone remodelling, estimation of physiological loading is essential. Yet, current models homogenise strain patterns throughout the bone to estimate load distribution in vivo, which may be a flawed assumption for investigating alterations in bone mechanoregulation. By further utilising available spatiotemporal information of time-lapsed bone imaging studies, we developed a mechanoregulation-based load estimation algorithm (MR). MR calculates organ scale loads by scaling and superimposing a set of predefined independent unit loads to optimise measured bone formation in high, quiescence in medium and resorption in low strain regions. We benchmarked our algorithm against a previously published load history algorithm (LH) using synthetic data, micro-CT images of murine vertebrae under defined experimental in vivo loadings and HR-pQCT images from seven patients. Our algorithm consistently outperformed LH in all three datasets. In silico generated time evolutions of distal radius geometries (n = 5) indicated significantly higher sensitivity, specificity, and accuracy for MR than LH (p < 0.01). This increased performance led to substantially better discrimination between physiological and extra-physiological loading in mice (n = 8). Moreover, a significantly (p < 0.01) higher association between remodelling events and computed local mechanical signals were found using MR (CCR = 0.42) than LH (CCR = 0.38) to estimate human distal radius loading. Future applications of MR may enable clinicians to link subtle changes in bone strength to changes in day-to-day loading, identifying weak spots in the bone micro-structure for local intervention and personalised treatment approaches.

bioengineering↗