Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 29 October 2025

Sec. Tissue Engineering and Regenerative Medicine

Volume 13 - 2025 | https://doi.org/10.3389/fbioe.2025.1646500

Bone regeneration during osteoporosis: a translational in vivo monitoring of callus mechanical parameters

  • 1Departamento de Ingeniería Mecánica y Fabricación, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain
  • 2Departamento de Ingeniería Minera, Mecánica, Energética y de la Construcción, Escuela Técnica Superior de Ingeniería, Universidad de Huelva, Huelva, Spain
  • 3Departamento de Ingeniería Mecánica y Diseño Industrial, Escuela Superior de Ingeniería, Universidad de Cádiz, Puerto Real, Spain
  • 4Departamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Escuela Técnica Superior de Ingeniería, Universidad de Huelva, Huelva, Spain
  • 5Departamento de Medicina y Cirugía Animal, Facultad de Veterinaria, Universidad de Córdoba, Córdoba, Spain

Introduction: Regenerating osteoporotic bone remains challenging due to healing complications such as non-unions. Distraction osteogenesis is a promising technique for bone repair, but its efficacy under osteoporotic conditions is poorly understood. This study provides in vivo quantitative translational knowledge on the influence of osteoporosis in distraction callus mechanics.

Methods: Fifteen Merino sheep were induced with osteoporosis. A 15 mm bone defect in the right hind metatarsus was treated with distraction osteogenesis and stabilized with an instrumented external fixator. Callus distraction forces and relaxation were recorded and modeled to assess the viscoelastic behavior of the organic matrix. Callus ossification and mechanics were assessed using x-ray imaging and gait analysis. The results were compared to those from similar studies involving non-osteoporotic subjects.

Results: Osteoporosis significantly reduced distraction force peaks and relaxation (p < 0.05), with effects diminishing over the relaxation time. The elastic component of the organic matrix, especially ground substance, was significantly impaired (p < 0.05). X-ray follow-up and gait analysis revealed that half of the pathologic animals recovered comparably to non-osteoporotic subjects, while the others exhibit lateralized mineralization and reduced load bearing capacity.

Discussion: Osteoporosis led to a 50% reduction in the viscoelastic response of the distraction callus, likely due to an impaired osteoblastic matrix synthesis. Furthermore, osteoporotic patients undergoing distraction osteogenesis for critical-size defects may experience delayed consolidation with heterogeneous mineralization, which may be linked to early deficits in organic matrix formation.

1 Introduction

Osteoporosis is a chronic widespread metabolic disorder characterized by reduced bone mineral density and microstructural impairment, predisposing patients to a higher fracture risk. Secondary osteoporosis is the underlying effect of several diseases and their pharmacological treatments, disrupting the balance between bone formation and resorption (Ahmed and Elmantaser, 2009). Common anti-inflammatory drugs such as glucocorticoids induce osteocyte apoptosis, thus increasing the bone fragility (Whittier and Saag, 2016). The consequences are low-energy fractures, commonly referred to as fragility fractures. These fractures are associated with a mortality rate of up to 33% within the first year (Guzon-Illescas et al., 2019), along with a high probability of irreversible disability and long-term dependency (Lems and Raterman, 2017; Bae et al., 2019). Almost 12,000 fragility fractures occur per day in Europe, representing a cost of €56.9 billion annually to the healthcare system (Kanis et al., 2021).

The fracture healing process has been frequently studied in osteoporotic rodent models (Kubo et al., 1999; Namkung-Matthai et al., 2001; Xu et al., 2004; Yingjie et al., 2007; McCann et al., 2008; Li et al., 2010; Chow et al., 2011; Oliver et al., 2013; Chung et al., 2014; Kido et al., 2014; Thormann et al., 2014; Wehrle et al., 2015; Fischer et al., 2017; Fischer et al., 2018; Wong et al., 2019). By using different approaches and measurement techniques (x-ray follow-up, histology, histomorphology, serum biomarkers or biomechanical testing, among others), these studies agree that osteoporosis impairs fracture healing capability. The resulting osteoporotic woven tissue reported lower bone mineral density, fracture load and osteoclastic activity compared to non-osteoporotic woven bone. These findings align with the scarce available literature on fracture healing in osteoporotic large animal models (Lill et al., 2003; Bindl et al., 2013). In these challenging bone regeneration scenarios caused by osteoporosis, the primary concern is the potential for delayed healing, non-unions, bone deformities, chronic pain, and post-surgical complications, including infections (Shih et al., 2022; Hu et al., 2023; Leslie and Baumgaertner, 2023).

Introduced by Ilizarov (Ilizarov, 1989a; Ilizarov, 1989b), distraction osteogenesis (DO) is a clinically relevant bone regeneration technique. It involves the controlled gradual separation, known as distraction, of two bone fragments following an osteotomy, promoting the formation of new bone tissue by means of bone mechanotransduction (Compton et al., 2015; Runyan and Gabrick, 2017; Adejuyigbe et al., 2024). Based on this principle, bone transport has become a gold-standard orthopedic technique for reconstructing of critical-size bone defects caused by traumas, infections, tumors or prior surgical interventions (Brunner et al., 1994; Claes et al., 2000; Rozbruch et al., 2008; Li et al., 2023). This clinical procedure enables gradual distraction via a bone fragment positioned within a larger bone gap, leading to double ossification. Nevertheless, despite the need to apply DO in osteoporotic bone regeneration and the high prevalence of fragility fractures in elderly patients (Kanis et al., 2000; Curtis et al., 2016; Wu et al., 2021), there is extremely limited literature on osteoporotic DO. In this context, some experimental studies have explored the effect of osteoporosis on DO using small animal models (Arslan et al., 2003; Tatehara et al., 2011; Sun et al., 2014). For instance, Arslan et al. (2003) found that osteoporosis negatively impacts mandibular DO outcomes, with delayed callus formation and remodeling observed in ovariectomized rabbit models. Similarly, Tatehara et al. (2011) reported these findings by concluding reduced femoral woven bone volume and increased osteoclastic activity in an osteoporotic rat model. Finally, Sun et al. (2014) further demonstrated the potential of gene therapy to promote the formation of DO woven tissue in osteoporotic rabbit’s mandible.

Although all these works provided relevant contributions to the study of osteoporotic DO, they present several limitations. In this regard, the findings from small animal models should be interpreted with caution. This is due to the biological differences between these models and humans, including discrepancies in bone regeneration rates, responses to treatment, mechanical loading, and the overall complexity of human osteoporosis (Turner, 2001; Lelovas et al., 2008). In contrast, large animal models are more suitable for osteoporosis research due to their greater physiological similarity to human and disease mechanism (Reinwald and Burr, 2008; Dias et al., 2018). In particular, ovariectomized sheep with glucocorticoid treatment model shows consistent reductions in bone mineral density, volume fraction and strength in trabecular tissue (Lill et al., 2002; Augat et al., 2003; Zarrinkalam et al., 2009; Ding et al., 2010; Oheim et al., 2012; Toscano-Angulo et al., 2025), similar to what happens in postmenopausal women with secondary osteoporosis (Dias et al., 2018). As far as the authors know, only Toscano-Angulo et al. (2025) have addressed the complexity of DO in this osteoporotic large animal model. They provided insights into the skeletal quality alterations produced by DO in osteoporotic animals in different bone tissues and locations. Another remarkable knowledge gap is the lack of quantitative information about DO woven maturation in osteoporotic subjects by using in vivo analysis techniques. An additional gap of knowledge is the lack of quantitative information about the osteoporotic distraction callus maturation obtained through in vivo analysis techniques. In this regard, previous experimental studies conducted in non-osteoporotic large animal models revealed that continuous in vivo monitoring from early stages of the callus mechanical parameters has a valuable direct relationship with the ossification process (Brunner et al., 1994; Claes et al., 1995; 2000; Wee et al., 2011; Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021a; Blázquez-Carmona et al., 2021b; Blázquez-Carmona et al., 2023a; Blázquez-Carmona et al., 2023b). Applied to osteoporotic subjects undergoing regeneration through DO, these analyses may help elucidate the mechanobiological differences induced by the disease. This knowledge would be highly relevant for assessing the feasibility of translating the DO process to clinical practice in fractured osteoporotic patients. Furthermore, the data would help in the development of in silico models to characterize and forecast the mechanical evolution of the osteoporotic distraction callus. However, as far as the authors know, this clinically meaningful information has not been previously explored.

In vivo DO studies have generally focused on two fundamental bone regeneration phases: the distraction phase, involving naïve and premineralized soft tissue, and the consolidation phase, during which mineralization occurs. The early premineralized stage of the distraction callus has been evaluated in several studies in non-osteoporotic sheep (Claes et al., 1995; 2000; Wee et al., 2011; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b). The displacement of the bone fragment generates a callus traction force, which can be quantified through an instrumented external fixator. In bone lengthening contexts, Wee et al. (2011) found that increasing the daily distraction length is effective in reducing high distraction forces, which are related to increased callus stiffness and mineralization. On the other hand, Mora-Macías et al. (2016) developed two mathematical models to reproduce the callus mechanical behavior during bone transport. They suggested that at least 78% of the distraction force during bone lengthening comes from the elongation of the surrounding soft tissues, rather than the callus tissue itself. This finding was confirmed by Blázquez-Carmona et al. (2021b), who provided a viscoelastic model that reproduces the mechanical behavior of the surrounding soft tissue and the premineralized callus in bone lengthening. They concluded that surrounding soft tissue could notably increase the forces during the first minutes of distraction, with similar tissue relaxation in both DO processes. All these works provided relevant information on the influence of distraction forces on the maturation and ossification of DO woven tissue. However, as far as the authors know, the effect of osteoporosis on the mechanical properties of the distraction callus is still unknown. Furthermore, viscoelastic models of this premineralized tissue based on distraction forces offer the advantage of being able to mechanically differentiate between the main compounds of the organic matrix, synthesized by osteoblasts. This relevant differentiation applied to osteoporotic subjects would allow to estimate how the disease influences the distraction callus at the bone cellular activity level.

During the consolidation of the woven bone tissue, one of the critical questions for clinicians is how long the distracted callus needs to mature before the fixator can be safely removed. This issue is particularly sensitive in osteoporotic patients who are prone to non-union or delayed healing time (Nikolaou et al., 2009; Gorter et al., 2021). Traditional clinical x-ray follow-up and manual examination have proven to provide very limited and inaccurate information (Webb et al., 1996; Fisher et al., 2019). This lack of quantitative knowledge can be covered by performing gait analyses. From these non-invasive tests, in vivo mechanical parameters of the woven mineralization can be estimated, such as its load-bearing capacity and longitudinal stiffness (Morasiewicz et al., 2010; Mora-Macías et al., 2015a; Macías et al., 2015b; Blázquez-Carmona et al., 2021a; Blázquez-Carmona et al., 2023b; Blázquez-Carmona et al., 2023a; Pawik et al., 2021). In a non-osteoporotic sheep metatarsus model, Mora-Macías et al. (2015a) revealed that the distraction callus bearing capacity reached 80%–90% at 70 days after the bone surgery. At that time, they concluded that this non-osteoporotic immature tissue stiffens exponentially reaching up to 5.4–11.4 kN/mm. Performing similar analyses in osteoporotic conditions, using the same model and metatarsal DO protocol than Mora-Macías et al. (2015a), would allow for a quantitative comparison of callus mechanical properties, enabling estimation of fixation duration and clinical feasibility and translatability of DO for osteoporotic patients.

The aim of this work is to in vivo quantitatively monitor bone regeneration during the process of DO in osteoporotic sheep. Distraction forces, relaxation and viscoelastic behavior of the early-stage premineralized distraction callus will be evaluated, showing the influence of osteoporosis on its mechanical behavior during the distraction phase (Figure 1). Moreover, the callus ossification will be assessed by measuring woven bone mechanical parameters (e.g., callus force and stiffness) in gait analyses supported by x-ray follow-up, revealing how osteoporosis affects mineral progression during the consolidation phase. The data will be compared with a non-osteoporotic control group (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b) in order to isolate and elucidate the effect of the disease during the bone regeneration process. All these highly valuable translational findings will allow to overcome the lack of quantitative in vivo mechanical knowledge on osteoporotic bone regeneration using DO.

Figure 1
Flowchart illustrating sheep osteoporosis induction period (33 weeks), and distraction osteogenesis experimental period, including three stages: latency phase (7 days), distraction phase (15 days), and consolidation phase till sacrifice (40- or 100-days post bone transport surgery). The induction involves ovariectomy, calcium-free diet, and glucocorticoid injections. Bone transport (BT) surgery includes fixator placement and 15 mm of bone defect creation. Distraction phase considers daily distractions and distraction force analysis (DFA). Bottom illustrations depict DFA, gait analysis, and X-ray imaging of the distraction callus (dorsomedial and plantaromedial).

Figure 1. Study design overview: animal experimental periods, procedures and analysis performed.

2 Materials and methods

2.1 Osteoporotic animal model and distraction osteogenesis protocol

Osteoporosis was experimentally induced in fifteen female Merino sheep, aged 2–4 years and weighing 60.2 ± 5.6 kg. Animal welfare was preserved throughout experimental periods in accordance with the ARRIVE guidelines, European (63/2010/EU) and national (RD 53/2013) regulations on preclinical research. The study received approval from the Ethics Committee of the University of Córdoba (Protocol Number: 2021PI/21). The subjects were randomly sourced from a research farm and identified by wool marking to avoid potential confounding factors. The specimens were in good health and had received standard vaccinations and deworming treatments. The minimum sample size was determined according to the variability reported in previous studies (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021a; Blázquez-Carmona et al., 2021b). All experimental procedures were conducted at the Clinical Veterinary Hospital of the University of Cordoba, where the sheep were housed in spacious, partially roofed and fenced outdoor areas.

Following the guidelines described by Zarrinkalam et al. (2009), osteoporosis induction involved firstly a bilateral ovariectomy. During the surgical intervention, the animal was under general anesthesia and intubated with continuous monitoring of body temperature, blood pressure, O2 saturation, exhaled CO2 levels, and electrocardiograms. Subsequently, the ovariectomized sheep were administered intramuscular glucocorticoid injections (500 mg Solu-Moderín® diluted in 7.8 mL injectable water) every 3 weeks, along with a calcium-free diet (12% crude protein, 9% crude fiber, 6.5% crude ash, 2% crude fat, 0% calcium, 0.1% phosphorus and 0.1% sodium) till week 33 ± 2.5 after ovariectomy, when distraction osteogenesis experiments began (Figure 1). At this point, glucocorticoid administration was stopped to preserve postsurgical animal welfare. This osteoporotic induction protocol was successfully verified by reporting a mean reduction in trabecular bone mineral density of 6.4% in a previous study (Toscano-Angulo et al., 2025).

At 33 ± 2.5 weeks post-ovariectomy, a second surgical procedure was performed to generate a critical size-bone defect in the right hind metatarsus of the sheep. This defect was previously stabilized with implantation of an instrumented Ilizarov-type external fixator-distractor. The bone surgery was performed under the same anesthetic and physiological monitoring conditions as the ovariectomy. After the fixator placement, three separated diaphyseal osteotomies were performed using a guided oscillating saw which resulted in two bone segments (Toscano-Angulo et al., 2025). The proximal bone segment (25 mm length) was previously fixed to the distractor, whilst the distal bone segment was removed to create the critical-size defect (15 mm gap). After a 7-day latency period, the fixed bone fragment was distally displaced 1 mm/day (distraction) to fill the bone gap throughout a 15-day distraction phase (Figure 1). The DO protocol creates an elongation of the proximal osteotomy (distraction callus) and a compression of the critical-size defect (docking site callus). The woven tissue formed within the distraction callus was studied in a subsequent consolidation phase. The sheep were randomly slaughtered by an overdose of sodium pentobarbital IV Euthasol® on day 40 or 100 after the bone surgery for an ex vivo study out of the scope of this work.

2.2 In vivo instrumentation and bone-fixator spring model

The instrumentation used for in vivo monitoring of distraction force tests and gait analyses is presented in Figure 2. These analyses will be described in detail in the subsequent sections. The instrumented external fixator (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b) employed consists of two stainless steel ring frames secured to the bone by means of inserted Ø4 mm Schanz screws. Four connecting bars (two distraction bars and two simple bars) instrumented with Burster® 8431–6001 (Burster, Gernsbach, Germany) load cells (load range, ±1 kN; accuracy, ±1.5 N; diameter, 25.4 mm; height, 14 mm; mass, 40 g) link the rings and mechanically stabilize the bone gap surgically created. The fixed bone segment is attached to the lateral and medial distraction bars by means of Ø2.5 mm Steinmann pins. These 2 bars are designed with a threaded mechanical system (distractor) that enables a controlled longitudinal movement of the bone segment. As shown in Figure 2A, each distraction bar included two load cells between the rings and separated by the distractor (C1 proximal and C2 distal in the lateral bar, C4 proximal and C5 distal in the medial bar) to isolate the load distribution between the distraction and docking site calluses. Meanwhile, the simple bars are equipped with a load cell (C3 in the dorsal bar and C6 in the plantar bar).

Figure 2
Study instrumentation and callus force analysis conducted. Figure 2A shows the instrumented external fixator-distractor implanted in osteoporotic sheep metatarsal. Figure 2B illustrates the facilities and instrumentation used in gait analysis. Figure 2C displays a schematic diagram of the bone-fixator spring model. Figure 2D presents an example of distraction force (CFD) measurement, showing the force relaxation of the osteoporotic distraction callus during the distractions, which is modelled with the viscoelastic spring-dumper model parameters.

Figure 2. (A) Instrumented external fixator-distractor placed in the right hind metatarsus of an osteoporotic sheep: (1) distractor, (2) distraction bar, (3) stainless fixator ring frame, (4) simple bar, (5) Ø2.5 mm Steinmann pins, (C1) proximal load cell of the lateral distraction bar, (C2) distal load cell of the lateral distraction bar and (C3) load cell of the dorsal simple bar. (B) Instrumentation and facilities for gait analysis: (6) instrumented external fixator-distractor, (7) force platform, (8) data acquisition system, (9) gait corridor, (10) computer. (C) Bone-fixator spring model of the operated limb: forces and stiffness during gait analysis in blue and during distraction force test in green. The bars are illustrated in pairs for visual clarity. (D) Example of a callus distraction force (CFD) measurement performed in an osteoporotic sheep, scheme of the premineralized distraction callus during a distraction performance, and viscoelastic spring-dumper model of premineralized distraction callus during the distraction performance.

As illustrated in Figure 2B, the load cells data were collected in real-time and transmitted via Wi-Fi to a computer using a custom developed data acquisition system (dimensions: 19 × 12 × 3.5 cm, weight 1 kg, sampling rate 50 Hz). A complete technical description of this device is provided in the Supplementary Material (Supplementary Material 1). The force measurement system was validated using the guidance of a previous study (Blázquez-Carmona et al., 2020). In gait analysis, the device was placed in a saddlebag worn by the animal. In addition, a Pasco® PS-2141 (Pasco, Roseville, CA, EE. UU.) force platform (force measurement range, −1,100 to 4,400 N; sampling rate, 1,000 Hz; resolution, 0.1 N; dimensions, 35 × 35 cm; mass, 4 kg) was placed and securely fixed to a gait corridor to minimize vibration artifacts. This device monitored the force data of the sheep’s footsteps in real time and transmitted the recordings to a computer via Bluetooth.

All these force sensors allow the measurement of the callus distraction force (CFD) in distraction force tests performed during the distraction phase, and the fixator force (FF) in gait analyses during the consolidation phase. According to the bone-fixator spring model illustrated in Figure 2C, CFD (green arrows) is the traction force experienced by the premineralized distraction callus after each daily distraction performance. It can be calculated from the load cell measurements using Equation 1 (Mora-Macías et al., 2016).

CFD=C2+C5C1+C4(1)

where C1 and C2 are the forces measured by the load cells C1 and C2 (proximal and distal, respectively) of the lateral distraction bar, and C4 and C5 are the forces measured by the load cells C4 and C5 (proximal and distal, respectively) of the medial distraction bar (Figures 2A,C).

Regarding gait analyses, FF is the maximum force through the fixator due to the sheep steps (blue arrows, Figure 2C). It is measured according to Equation 2 (Mora-Macías et al., 2015a).

FF=C1+C3+C4+C6(2)

where C3 is the force measured in the load cell C3 of the dorsal simple bar, and C6 is the force measured in the load cell C6 of the plantar simple bar (Figures 2A,C).

The internal force (IF, Figure 2C) represents the total force transferred through the limb’s musculoskeletal system due to the maximum ground reaction force (MGRF) and muscle activity (Blázquez-Carmona et al., 2021a). In the operated limb, the internal force IF is distributed between the external fixator (fixator force, FF) and the bone callus (callus force or callus bearing capacity, CFC) depending on its longitudinal stiffness (Figure 2C; Equation 3). Note that the mathematical expression of the callus distraction force during the distraction phase (CFD, Equation 1) allows deleting the effect of the IF in force measurements.

IF=FF+CFC(3)

While the stiffness of the fixator is constant over time (KF = 655 N/mm), the stiffness of the bone callus (KC) evolves throughout the consolidation phase due to its mineral formation. The callus bearing capacity could be neglected (CFC ≈ 0) during the first days after the bone surgery due to the lack of a callus mineral bridging connecting the remaining bone fragments. This hypothesis was established in accordance with x-ray follow-up. Thus, the IF is supported approximately in its totality by the fixator (IFFF) during the distraction phase. Furthermore, the IF/MGRF ratio was observed to remain approximately constant during this early regeneration phase according to previous studies (Dwyer et al., 1996; Mora-Macías et al., 2015b; Blázquez-Carmona et al., 2021a). In this sense, the CFC could be indirectly obtained as a function of FF and MGRF during the consolidation phase (Equation 4).

CFC=IFFF=MGRF·FFMGRF¯FF(4)

where mean (FF/MGRF)* is the mean value of the FF/MGRF ratio of early gait analyses in which there is no bridged callus.

Finally, the distraction callus longitudinal stiffness KC during the consolidation phase could be estimated as presented in Equation 5.

KC=CFCFF·KF(5)

Considering that the longitudinal stiffness of the adjacent cortical fragments was infinite compared to that of the woven bone tissue, the stiffness of the metatarsus was dominated by the stiffness of the distraction callus.

2.3 Distraction force tests

A daily monitoring of the load cells was performed during the 15 days of distraction phase for each animal. During the distraction force test, the sheep was positioned in right lateral decubitus on the ground and immobilized without sedation to preserve animal welfare. The operated limb was kept elevated and supported in a sling to avoid confounders factors from the bodyweight or the load bearing of the limb.

The callus distraction force CFD was indirectly estimated in each test from the load cells measurements (Equation 1). A CFD recording example is presented in Figure 2D. Load cells measurements began before performing the distraction and continued for up to 20 min post-distraction. In this sense, a force peak was reported at the time of distraction performance, followed by a post-distraction relaxation of the premineralized distraction callus due to its viscoelastic behavior. A third-order low-pass Butterworth filter was applied to all CFD measurements to avoid confounding effects from load cell noise. This filter was able to minimize noise, while appropriately preserving the morphology of the force curve.

Furthermore, the percentage of the force relaxation of the distraction callus was estimated over time in each individual’s daily distraction force record. This parameter was calculated as the ratio of the daily (day = 1, 2, 3, … , 15) post-distraction force registered every 2 minutes (min = 2, 4, 6, … , 20) during the test (CFDminday), to the daily distraction force peak (CFDpeakday) registered at the distraction performance (Equation 6).

Rminday=1CFminDdayCFpeakDday·100%(6)

A mean individual force relaxation value (Rmin) was calculated every 2 minutes from the daily force relaxation (Rminday) measured in each sheep during the distraction phase (Equation 7).

Rmin=day=115Rminday15(7)

2.4 Gait analysis

Each sheep was led through a gait corridor in which it stepped on the force platform with the operated limb at least 10 times per test during the consolidation phase (2–3 gait tests were conducted per week and animal). Footsteps performed at speeds outside the amble range (velocity <2 km/h or >4 km/s) or with interruptions were visually excluded (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Blázquez-Carmona et al., 2021a; Blázquez-Carmona et al., 2023b). A mean value per test of the fixator force (FF, Equation 2) and MGRF was determined using the load cells and force platform, respectively. From these data, the distraction callus bearing capacity (CFC, Equation 4) and stiffness (KC, Equation 5) were indirectly and quantitatively estimated in each test.

2.5 X-ray imaging

The mineralization and maturation of the osteoporotic distraction calluses were qualitatively assessed through periodic plantaromedial and dorsomedial x-ray imaging. It allowed monitoring the bone fragment displacement throughout the bone gap during the distraction phase and the callus mineral formation and bridging during the consolidation phase.

2.6 Viscoelastic model of the premineralized distraction callus

A viscoelastic model was used to evaluate the mechanical behavior of the premineralized distraction callus during the distraction phase. During this early-stage bone regeneration phase, the premineralized callus tissue is mainly composed of the organic matrix, divided into collagen fibers and ground substance.

The distraction force (CFD) records were modeled using a generalized Maxwell model of a standard linear solid following the methodology outlined by Blázquez-Carmona et al. (2021b). This is a commonly used rheological model for numerous viscoelastic materials, including the premineralized distraction callus (Sopakayang and De Vita, 2011; Braunsmann et al., 2014; Blázquez-Carmona et al., 2021b). As illustrated in the spring-dashpot scheme in Figure 2D, the mechanical model of the premineralized distraction callus considers a linear elastic spring (stiffness Kcf) representing the stationary response provided by the collagen fibers (cf). Meanwhile, the transient mechanical behavior of the early-stage callus, provided by the ground substance (gs) was modeled as a linear elastic spring (stiffness Kgs) in series with a dashpot (damping constant ηgs), both in parallel with Kcf. Under the hypothesis that viscoelastic behavior is dominated by the organic matrix, this three-parameter model allows drawing significant conclusions about the apparent mechanical behavior of the premineralized distraction callus. Considering a constant distraction rate of 1 mm/day for the incremental bone fragment, the CFD can be expressed using the viscoelastic model parameters of the premineralized distraction callus, as defined in Equation 8.

CFDt,T=KcfT+KgsT·etτgsT·u0(8)

were t is the relaxation time after the distraction performance, T is the distraction day, τgs is the relaxation time of the ground substance (ηgs/Kgs) and u0 is the callus elongation (1 mm/day). At the distraction performance (t = 0), the mathematical expression can be simplified as specified in Equation 9.

CFD0,T=CFpeakDT=KcfT+KgsT·u0(9)

These viscoelastic model parameters were used to fit mathematically the daily monitorization of the CFD records. From each measurement, five points per 2 minutes (50 points in 20 min post-distraction) uniformly distributed were extracted and fitted to the solution of Equation 8, using a least-square algorithm. The curve fittings were performed in MATLAB R2023b® (The MathWorks Inc., Natick, MA, USA) with ± 10% constraints on the peak force and the force at 20 min after the distraction performance.

2.7 Statistical analyses

The statistical analyses were performed using MATLAB R2023b® (The MathWorks Inc., Natick, MA, USA). The data and correlations of the non-osteoporotic group were obtained from previous studies (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b). Comparisons with these studies can be rigorous because they used the same bone animal model (sheep’s right hind metatarsus), distraction protocol (15 mm diaphyseal defect), experimental procedures, measurement techniques and animal conditions, but without considering osteoporosis induction.

For the distraction force record and viscoelastic model parameters, a mean and standard deviation value from the individual’s data were calculated each distraction day for osteoporotic and non-osteoporotic groups. The group’s mean and standard deviation data of the force relaxation (R) are obtained from a mean individual force relaxation value (Rmin) was calculated osteoporotic individuals. All underlying osteoporotic individual data are compiled in the Supplementary Material (Supplementary Tables S1-S17). The datasets of both groups were analyzed to check normal distribution using the Shapiro–Wilk test. This test showed that several datasets presented a non-normal distribution (p < 0.05). Consequently, the significance between groups was evaluated using the non-parametric test. Specifically, the non-parametric test Mann-Whitney U was selected as it aligns the distribution nature of both unpaired group’s data. The differences between groups were considered significant when p < 0.05. All p-values determined to evaluate the significance between groups are compiled in the Supplementary Material (Supplementary Tables S18-S21).

3 Results

3.1 Distraction force measurement

Figure 3A shows the mean and standard deviation values of distraction force (CFD) in the osteoporotic group’s (red data) at the distraction performance (CFDpeak) over the days of the distraction phase. Results in a non-osteoporotic group (blue data (Mora-Macías et al., 2016)) are also included for further comparisons. For the same purpose, similar distraction force records at 8- and 20-min after the distraction performance (CFD8min and CFD20min, respectively) were also represented in Figures 3B,C. The underlying distraction force datasets are compiled individually in the Supplementary Material (Supplementary Tables S1-S4).

Figure 3
Figures 3A-C show the callus distraction force (CFD) recorded at the distraction performance (CFDpeak), and at 8 (CFD8min) and 20 (CFD20min) minutes post distraction during the 15 days of the distraction phase. Figure 3D reports the force relaxation over the relaxation time with respect to (CFDpeak). Data presented as mean and standard deviation values. Osteoporotic data presented in red and non-osteoporotic data in blue.

Figure 3. Callus distraction force (CFD) record experimentally measured in osteoporotic (red) and non-osteoporotic (blue) sheep groups throughout the days of the distraction phase: (A) callus distraction force peak (CFDpeak), (B) callus distraction force at 8 min post-distraction (CFD8min), (C) callus distraction force at 8 min post-distraction (CFD20min), (D) mean individual percentage of distraction force relaxation (R) reported each 2 min of the relaxation time. Data presented as mean ± standard deviation values of the underlying individual osteoporotic sheep data, compiled in the Supplementary Material (Supplementary Tables S1-S4). Non-osteoporotic data obtained from Mora-Macías et al. (Mora-Macías et al., 2016). Significance evaluated by Mann-Whitney U test. * means p < 0.05 and ** means p < 0.01. Statistical analyses compiled in the Supplementary Material (Supplementary Tables S18-S19).

Mean values of peak forces (CFDpeak, Figure 3A) reported in the osteoporotic group increased from 20.7 N to 63.1 N during the distraction phase. Regarding the record at 8 min post-distraction (CFD8min, Figure 3B), the osteoporotic group presented force levels lower than those reported at the distraction performance. Once again, the osteoporotic mean values increased throughout the distraction phase, from 6.5 N to 35.1 N. As for the record at 20 min post-distraction (CFD20min, Figure 3C), the osteoporotic mean force values (4.8 N to 33.1 N) did not show differences between minutes 8 and 20.

The mean and standard deviation of the force relaxation (R, Figure 3D) with respect to the CFDpeak value are displayed every 2 min of the relaxation time. In the osteoporotic group, relaxation mainly occurs up to minute 2 (29.5%), increasing smoothly up to minute 14 (43%). No relaxation differences were found from minute 14 to minute 20 (42.5%). The standard deviation of the data remained relatively consistent over the relaxation time, averaging around 14% with respect to mean values.

3.2 Viscoelastic model parameters of the premineralized distraction callus

Figures 4A–D show the evolution of the collagen fibers stiffness (Kcf) and ground substance stiffness (Kgs), damping constant (ηgs) and relaxation time (τgs) of the osteoporotic group’s (red data) predicted by the viscoelastic model based on CFD measurements over the distraction phase. Non-osteoporotic data (blue data (Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b)) are also represented for further comparison reasons. Data is presented as the daily mean and standard deviation values between animals. The underlying viscoelastic parameters datasets are compiled individually in the Supplementary Material (Supplementary Tables S5-S8).

Figure 4
Figures 4A-D show the viscoelastic model parameters of the distraction callus (collagen fiber stiffness, the ground substance stiffness, the ground substance damping constant, and the ground substance relaxation time) during the 15 days of the distraction phase. Data presented as mean and standard deviation values. Osteoporotic data presented in red and non-osteoporotic data in blue.

Figure 4. Viscoelastic model parameters of the premineralized distraction callus mechanical behavior in osteoporotic (red) and non-osteoporotic (blue) sheep groups throughout the days of the distraction phase: (A) collagen fibers stiffness (Kcf), (B) ground substance stiffness (Kgs), (C) ground substance damping constant (ηgs), (D) ground substance relaxation time (τgs). Data presented as mean ± standard deviation values of the underlying individual osteoporotic sheep data, compiled in the Supplementary Material (Supplementary Tables S5-S8). Non-osteoporotic data provided by Mora-Macías et al. (2016) and Blázquez-Carmona et al. (Blázquez-Carmona et al., 2021b). Significance evaluated by Mann-Whitney U test. * means p < 0.05 and ** means p < 0.01. Statistical analyses compiled in the Supplementary Material (Supplementary Table S20).

Regarding the collagen fibers stiffness (Kcf, Figure 4A), the osteoporotic group exhibited an increase in stiffness from 7 N/mm to 30.6 N/mm during the distraction phase. Simultaneously, the standard deviation within the group increased throughout the days. For the ground substance, the stiffness (Kgs, Figure 4B) was reported similar to the collagen fibers in the osteoporotic group, but showing a less significant increase from 12.2 N/mm to 28.3 N/mm during the distraction phase. The mean values of the ground substance damping constant (ηgs, Figure 4C) increased throughout the distraction phase, reaching 104.8 N·min/mm at 15 days. The ηgs standard deviation with respect to mean values was higher than 1 in most of the days of the distraction phase (0.974 average). Regarding the ground substance relaxation time (τgs, Figure 4D), the osteoporotic group also showed an increase in the mean values, reaching 2.9 min at 9 days of the distraction phase. From that point onward, the τgs mean and standard deviation remained relatively stable until the end of the distraction phase. The ηgs standard deviation was translated to the τgs standard deviation during the days of the distraction phase (0.655 average), due to the relationship between both parameters.

3.3 X-ray follow-up

An x-ray follow-up of the osteoporotic group conducted at 0, 15, 21, 35, 50 and 80 days after the bone surgery is presented in Figure 5A. It shows representative examples of the distraction callus evolution: two from osteoporotic animals and one from non-osteoporotic (Mora-Macías et al., 2015b) animal as a non-pathologic reference. Qualitative analysis showed that none of the osteoporotic sheep reported non-union. 50% of the osteoporotic animals exhibited homogeneous or symmetrical callus mineralization, the remaining 50% displayed heterogeneous or asymmetrical callus formation. This osteoporotic subgroup with limited callus formation consistently showed localized bone formation primarily in the dorsolateral or the plantarolateral site of the limb.

Figure 5
Figure 5A shows the plantaromedial x-ray imaging of the distraction callus throughout the distraction osteogenesis experimental period of the osteoporotic sheep groups and the non-osteoporotic sheep group. Figures 5B-D report the ground reaction force with respect to the body weight (MGRF/BW), callus force normalized with the internal force (CFC/IF) and callus stiffness (KC) of the groups throughout the distraction osteogenesis experimental period, respectively. Osteoporotic group with homogeneous callus presented in purple, osteoporotic group with heterogeneous callus in green, and non-osteoporotic correlations in blue.

Figure 5. X-ray follow-up and gait mechanical parameters of the distraction callus in osteoporotic (with homogenous callus in purple, with heterogeneous callus in green), non-osteoporotic (blue correlation) sheep groups during the distraction osteogenesis experimental period: (A) plantaromedial x-ray imaging, (B) maximum ground reaction force with respect to the sheep body weight (MGRF/BW), (C) distraction callus bearing capacity (CFC) normalized with the internal force (IF), (D) distraction callus longitudinal stiffness (KC). Underlying osteoporotic data compiled in the Supplementary Material (Supplementary Tables S9-S11). Non-osteoporotic x-ray imaging and correlations obtained from Mora-Macías et al. (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b).

3.4 Gait mechanical parameters of the callus

The results of the gait mechanical parameters (MGRF, CFC and KC) over the days after the bone surgery are presented in Figures 5B–D. Non-osteoporotic correlations (blue data (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b)) are also depicted for comparative purposes. To elucidate gait dynamics differences between the osteoporotic group based on callus morphology, it was decided to split the gait analyses data into osteoporotic subgroup with homogeneous callus (purple data points) and osteoporotic subgroup with heterogeneous callus (green data points). The data of these parameters are compiled individually in the Supplementary Material (Supplementary Tables S9-S11).

The maximum ground reaction force (MGRF) data points were presented normalized with respect to the body weight (BW) to consider differences between individuals (MGRF/BW, Figure 5B). During the first 50 days after the bone surgery, the osteoporotic subgroups reported substantial data dispersion, ranging between 0.05 and 0.342. However, over the following 50 days, the MGRF of the osteoporotic subgroup with homogeneous callus seems to increase, while that of the osteoporotic subgroup with heterogeneous exhibited a declining trend. However, the dispersion of the data limited the identification of statistically significant differences. The callus bearing capacity (CFC) progression was presented weighted to the internal force (IF) to consider differences between animals (CFC/IF, Figure 5C). Both osteoporotic subgroups seem to report a recovery of the callus force over the days, although with different trends. The osteoporotic subgroup with homogeneous calluses presented an increase in CFC, rising around 0.8 at 50 days and stabilizing around 0.96 at 80 days. In contrast, the osteoporotic subgroup with heterogeneous callus experienced an increase in CFC with an appreciably lower trend with wider dispersion, reaching around 0.35 at 50 days and 0.57 mean around 80 days. The callus stiffness (KC, Figure 5D) of the osteoporotic subgroups evolved with different trends. The osteoporotic subgroup with heterogenous callus showed an increasing trend of callus stiffening, ranging a mean value of 1.2 kN/mm at 80 days. Meanwhile, the osteoporotic subgroup with homogeneous calluses experienced an exponential trend in KC, reaching around 12.3 kN/mm at 80 days. Thus, the longitudinal stiffness of the heterogeneous osteoporotic callus represents 10 times less stiffness than that of the homogeneous osteoporotic callus at 80 days.

4 Discussion

The present study covers for the first time, an in vivo monitoring of the mechanical properties of the bone callus in osteoporotic subjects during its early phases of maturation. The osteoporotic ovine model and metatarsal DO protocol allows rigorous comparisons with the data obtained in previous similar studies in non-osteoporotic animal model and metatarsal DO protocol (Mora-Macías et al., 2015a; Mora-Macías et al., 2015b; Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b). Thus, the influence of osteoporosis on the ossification of DO-regenerated callus can be isolated and discussed.

Beginning with the mechanical comparison of the early premineralized distraction callus, its viscoelastic response to 1 mm/day traction for 15 days has been assessed by means of distraction force tests. The mean values of callus distraction force peak reported in the osteoporotic group (CFDpeak, Figure 3A) increased from 20.7 N to 63.1 N during the distraction phase. Meanwhile, the mean peak force values of the non-osteoporotic group (Mora-Macías et al., 2016) seem to double throughout the days of the same phase (from 19.5 N to 127.6 N). In this non-pathologic group, the variability of data increased over the days, and was higher than in the osteoporotic group. Significant differences between groups were found on most days of the second half of the distraction phase (p < 0.05 at days 8, 9, 10 and 15, and p < 0.01 at day 11). These force differences between groups over the distraction phase for the same elongations (1 mm of distraction per day) of the non-mineralized distracted callus show an impaired 50% mechanical capabilities due to the pathology. With respect to the force at 8 min post-distraction (CFD8min, Figure 3B), both groups presented force levels considerably lower than those reported at the distraction performance, but the statistical differences became less significant. Once again, the osteoporotic and non-osteoporotic mean values increased throughout the distraction phase (osteoporotic from 6.5 N to 35.1 N, and non-osteoporotic from 9.1 N to 61.3 N). Although CFD8min standard deviation was generally lower than that of CFDpeak recording in both groups, significant differences were only found at day 11 (p < 0.05). As for the force at 20 min post-distraction (CFD20min, Figure 3C), the osteoporotic mean force values (from 4.8 N to 33.1 N throughout the distraction phase) did not show differences with respect to minute 8. In contrast, distraction forces from non-osteoporotic animals continued to decrease to osteoporotic-range values during those 12 min. In this sense, no significant force differences were found between both groups post 20 min from the distraction performance. Force relaxation (R, Figure 3D) normalized to the CFDpeak, occurred primarly during the first 2 min after distraction in both groups, but to a lesser extent in the pathological group (29.5%) compared to the non-osteoporotic group (40.6%). In the osteoporotic group, the force relaxation progresses smoothly, reaching a near-stable state by minute 14 (43% average relative to the CFDpeak). In contrast, the non-osteoporotic group exhibit a more pronounced relaxation stabilizing around minute 14 (65.0%). Significant differences between groups were found across most relaxation time points (p < 0.05), with an average group difference of over 18% from minute 6 onwards. According to Blázquez-Carmona et al. (Blázquez-Carmona et al., 2021b), the callus distraction force remains constant from minute 20. Thus, the reported force level tends to be mainly due to the elastic component of the premineralized distraction callus from that time. In addition, there is quick and limited relaxation of the osteoporotic group compared to non-pathological animals. Both insights seem to agree that osteoporosis could alter the viscoelastic components of the premineralized osteoporotic callus. This fact appears to be responsible for the differences found in permineralized callus viscoelastic competences (CFDpeak, Figure 3A) with respect to the non-osteoporotic group previously mentioned.

The aforementioned differences can be further explored through the viscoelastic model parameters of the premineralized distraction callus, providing insights into the mechanical behavior of its fundamental organic matrix compounds: the collagen fibers and the ground substance, both synthetized by osteoblasts. The stiffness of the collagen fibers (Kcf, Figure 4A) enhanced from average values of 7 N/mm to 30.6 N/mm throughout the distraction phase. Meanwhile, the collagen fibers of the non-osteoporotic group (Mora-Macías et al., 2016; Blázquez-Carmona et al., 2021b) experienced an almost similar average stiffening, from 14.2 N/mm to 42.6 N/mm. Although no significant differences were found between groups, the osteoporotic group exhibited lower average Kcf values during the final days of the distraction phase. A possible explanation for these differences is an osteoporosis-induced reduction in osteoblastic collagen synthesis (Zhang et al., 2018). On the other hand, the groups showed significant differences in ground substance stiffening (Kgs, Figure 4B) with similar standard deviation (p < 0.05 at 8, 9, 12 and 15 days, and p < 0.01 at 10 days). Specifically, the osteoporotic group experienced an average Kgs increase with a lower slope than that reported by the non-osteoporotic group, from 12.2 N/mm to 28.3 N/mm and from 11.1 N/mm to 47.4 N/mm, respectively. The results reveal that the elastic component of the ground substance seems to be weakened by osteoporosis. This can be supported by the significant differences found in callus distraction force peak (CFDpeak, Figure 3A). According to the mathematical expression presented in Equation 9, for virtually similar levels of collagen fiber stiffening (Kcf) and same callus elongations (u0 = 1 mm), the reason for diminished osteoporotic CFDpeak must be lower ground substance stiffness values (Kgs). This finding may also be a consequence of impaired osteoblastic function, decreasing the synthesis of proteoglycans and glycosaminoglycans contained in the ground substance (Tong et al., 2013). With respect to the viscous behavior of the ground substance (ηgs, Figure 4C), the osteoporotic group and the non-osteoporotic group presented a similar average increase, from 8.7 to 104.8 N·min/mm and from 10.6 to 92.9 N·min/mm, respectively. The difference between the groups can be appreciated in the standard deviation values. Whereas the osteoporotic group showed an increase in standard deviation, from 6.4 N·min/mm to 127.8 N·min/mm, the non-osteoporotic group presents low and constant values of this statistical parameter, 12.2 N·min/mm average, compared to the osteoporotic group. The standard deviation level of both groups with respect to the mean values was also transferred to the relaxation time of the ground substance (τgs, Figure 4D), since these parameters are linearly correlated with each other. The non-osteoporotic group increased its mean relaxation time from 0.92 to 2.00 min throughout the distraction phase. In contrast, the increase in mean τgs of the osteoporotic group has a higher tendency, from 0.81 to 3.13 min. The differences between groups (p < 0.05 at 10 days) are mainly related to an impaired elastic component of the osteoporotic ground substance (Kgs, Figure 4B) as a hypothetical consequence of an alteration in proteoglycans and glycosaminoglycans synthesis due to the disease (Tong et al., 2013). Glycosaminoglycans are also responsible for regulating water content, giving the organic matrix its damping competence. According to the variability reported in the damping constant (ηgs, Figure 4C), it seems that the alteration of this substance varies among pathological individuals.

The distraction callus mineralization of the osteoporotic group was qualitatively assessed through periodic x-ray imaging (Figure 5A) and compared with the non-osteoporotic group (Mora-Macías et al., 2015b). The osteoporotic subgroup with homogeneous callus seems to present similar mineral formation to the non-osteoporotic group from the end of the distraction phase (at 21 days after surgery, Figure 5A). On the other hand, the osteoporotic subgroup with heterogeneous callus presents limited mineralization in the lateral site of the bone, close to its main dorsal or plantar blood vessels. Thus, a lack of mineral formation was observed in the medial site of the bone in these pathologic animals. These intra-group radiographic differences have not been observed in previous DO studies conducted in small osteoporotic animal models (Arslan et al., 2003; Tatehara et al., 2011; Sun et al., 2014), which evidences the discrepancies with large osteoporotic animal models.

The gait mechanical parameters (MGRF, CFC, and KC, Figures 5B–D) quantitatively supported the x-ray findings (Figure 5A). The maximum ground reaction force with respect to the body weight (MGRF/BW, Figure 5B) reported by the osteoporotic subgroups, are half those of the non-osteoporotic group during the first 50 days after surgery (data dispersion around 0.2 mean of the osteoporotic subgroups compared with 0.4 of the non-osteoporotic correlation). It appears that the induced osteoporosis differently affects the animals' confidence to perform footsteps. During the remaining 50 days, the osteoporotic subgroup with heterogeneous callus continues with similar mean and dispersion levels. In contrast, the homogeneous callus subgroup appears to have a MGRF recovery tendency towards the non-osteoporotic correlation. As for the callus force weighted to the internal force (CFC/IF, Figure 5C), the osteoporotic subgroup with homogeneous callus showed a recovery of callus bearing capacity similar to the non-osteoporotic group. Compared to both groups, the osteoporotic subgroup with heterogeneous callus presented a slower and more variable functional recovery. In terms of mineralization level, the callus compression stiffness (KC, Figure 5D) also showed different trends between the osteoporotic subgroups. From early stages, the osteoporotic group with homogeneous callus reported an exponential trend that appears to be aligned with the non-osteoporotic group correlation. On the other hand, the osteoporotic group with heterogeneous callus seems to present an impaired lineal stiffening trend in comparison with previously mentioned groups (10-fold less stiffness at 80 days). The findings seem to correlate with the x-ray follow-up results (Figure 5A) in showing a mineral progression of the osteoporotic subgroup with homogenous callus similar to the non-osteoporotic group. This may indicate that the fixator could be removed in this osteoporotic subgroup at equivalent days after surgery to those of the non-osteoporotic group. In contrast, the woven bone mineralization and osteons formation appear to be severely compromised in the osteoporotic subgroup with heterogenous callus, thus requiring prolonged external fixation. This impaired level of mineralization and callus bearing capacity in 50% of the osteoporotic subjects may be related to the early stages of the premineralized callus. Figures 6A–C shows the distraction force peak and force relaxation responses at 8 and 20 min between both osteoporotic subgroups throughout the distraction phase. The osteoporotic subgroup with heterogeneous callus presented lower mean levels of peak force and force relaxation at 8 min (although without significant differences), finally equalized at 20 min. Based on these callus distraction force differences, the osteoporotic group with heterogeneous callus may exhibit a further delay in organic matrix synthesis that would subsequently be reflected in the later mineral apposition rate (Young, 2003; Zhang et al., 2018; Rupp et al., 2021).

Figure 6
Figures 6A-C show the callus distraction force (CFD) recorded at the distraction performance (CFDpeak), and at 8 (CFD8min) and 20 (CFD20min) minutes post distraction during the 15 days of the distraction phase. Osteoporotic group with homogeneous callus presented in purple and osteoporotic group with heterogeneous callus in green.

Figure 6. Distraction force (CFD) record experimentally measured in osteoporotic sheep group with homogeneous callus (purple) and heterogeneous callus (green) throughout the days of the distraction phase: (A) distraction force peak (CFDpeak), (B) force relaxation at 8 min post-distraction (CFD8min), (C) force relaxation at 20 min post-distraction (CFD20min). Data presented as mean ± standard deviation values of the underlying individual osteoporotic sheep data, compiled in the Supplementary Material (Supplementary Tables S12-S17). Significance evaluated by Mann-Whitney U test. * means p < 0.05 and ** means p < 0.01. Statistical analyses compiled in the Supplementary Material (Supplementary Table S21).

This study has some limitations that should be mentioned. Regarding the number of animals, five of them suffered health complications during the osteoporosis induction phase or following the bone surgery, which forced them to be prematurely sacrificed. These individuals did not report data, and they were not considered when performing the statistical analysis. The sample size of large animals is limited due to their high complexity and economic cost (e.g., in surgeries and management), as well as the extended study periods required. However, their strong translational relevance to humans makes each reported data highly valuable. With respect to the distraction force test, 15% of force measures had to be rejected or stopped due to technical problems with the data acquisition system or load cells, as well as uncontrolled animal movements. The tests did not last more than 20 min from the distraction performance to ensure animal welfare. For the same reason, the number of gait tests per animal was limited to 2 or 3 per week. In addition, three sheep were excluded from this assessment as they were unable to perform stance phases at speeds within the amble range or without interruptions.

In conclusion, this work reports novel translational quantitative results on the influence of osteoporosis on the mechanical properties of the distraction callus under bone regeneration using the metatarsal DO ovine model. In vivo monitoring of the instrumented fixator in combination with x-ray follow-up allows a detailed study of the evolution of the callus ossification process from its earliest stages. During the distraction phase, osteoporosis was found to reduce the viscoelastic competences of the premineralized callus by up to 50%. According to the viscoelastic model of DO, this reduction appears to stem from a weakened elastic component of the ground substance. This seems to be related to a reduction of the osteoblastic function due to osteoporosis, limiting and altering the proteoglycans and glycosaminoglycans synthesis. As for the consolidation phase, the x-ray imaging showed that osteoporosis could induce a limited and focused mineralization in more vascularized sites. The gait analyses align with the x-ray follow-up, revealing notably impaired mechanical parameters of the woven tissue compared to non-osteoporotic individuals. However, some osteoporotic patients may present a similar ossification pattern to non-osteoporotic individuals, allowing the fixator removal at a similar time point. These differences in woven bone mineralization among osteoporotic patients appear to be associated with the early premineralized stages, exhibiting altered callus viscoelastic properties probably due to a further delay in organic matrix synthesis. In this regard, further research is necessary to rigorously understand the mechanobiological causes of these differences among osteoporotic individuals. However, these highly translational data allow to extend the knowledge on osteoporotic bone regeneration, especially for clinical cases of secondary osteoporosis. In clinical feasibility terms and according to the findings of the present work, patients would have a high probability of consolidation delay and heterogenous mineralization for a critical-size bone defect. In addition, the information provided will help in the development of numerical models to in silico characterize and predict the progression of the mechanical behavior of the DO woven tissue in the presence of osteoporosis.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

The animal study was approved by the Animal Ethics Committee of the University of Cordoba (Protocol Number: 2021PI/21). The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

JT-A: Writing – original draft, Visualization, Data curation, Formal Analysis, Methodology, Conceptualization, Writing – review and editing. JM-M: Supervision, Conceptualization, Writing – original draft, Writing – review and editing, Methodology, Funding acquisition, Project administration, Formal Analysis. PB-C: Investigation, Conceptualization, Writing – review and editing, Writing – original draft, Methodology, Formal Analysis. MS-R: Methodology, Writing – original draft, Writing – review and editing. JM: Writing – original draft, Investigation, Writing – review and editing, Methodology. JG-G: Writing – review and editing, Writing – original draft, Methodology. MG: Methodology, Writing – review and editing, Investigation, Writing – original draft. JD: Writing – review and editing, Writing – original draft. ER-R: Project administration, Supervision, Conceptualization, Writing – review and editing, Formal Analysis, Writing – original draft, Funding acquisition.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. Grant PID 2023-148828OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.

Acknowledgments

The authors thank PID 2020-113790RB-I00 provided by MICIU/AEI/10.13039/501100011033 for its contribution in this work. Also, we express our gratitude to the veterinary technicians Juan Ramón Ríos Pérez, Ana Soto Fernández, and Álvaro Rincón Panadero for their dedication, commitment and active contribution to this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2025.1646500/full#supplementary-material

References

Adejuyigbe, B., Gharpure, M., Wahle, C. F., and Kallini, J. R. (2024). Distraction osteogenesis: a comprehensive review. Appl. Biosci. 3, 503–516. doi:10.3390/applbiosci3040032

CrossRef Full Text | Google Scholar

Ahmed, S. F., and Elmantaser, M. (2009). Secondary osteoporosis. Endocr. Dev. 16, 170–190. doi:10.1159/000223695

PubMed Abstract | CrossRef Full Text | Google Scholar

Arslan, H., Ketani, A., Gezici, A., Kapukaya, A., ˘lu, S. N., Kesemenli, C., et al. (2003). The effects of osteoporosis on distraction osteogenesis: an experimental study in an ovariectomised rabbit model. Acta Orthop. Belg 69, 67–73.

PubMed Abstract | Google Scholar

Augat, P., Schorlemmer, S., Gohl, C., Iwabu, S., Ignatius, A., and Claes, L. (2003). Glucocorticoid-treated sheep as a model for osteopenic trabecular bone in biomaterials research. J. Biomed. Mater Res. A 66A, 457–462. doi:10.1002/JBM.A.10601

PubMed Abstract | CrossRef Full Text | Google Scholar

Bae, G., Kim, E., Kwon, H. Y., An, J., Park, J., and Yang, H. (2019). Disability weights for osteoporosis and osteoporotic fractures in South Korea. J. Bone Metab. 26, 83–88. doi:10.11005/JBM.2019.26.2.83

PubMed Abstract | CrossRef Full Text | Google Scholar

Bindl, R., Oheim, R., Pogoda, P., Beil, F. T., Gruchenberg, K., Reitmaier, S., et al. (2013). Metaphyseal fracture healing in a sheep model of low turnover osteoporosis induced by hypothalamic-pituitary disconnection (HPD). J. Orthop. Res. 31, 1851–1857. doi:10.1002/jor.22416

PubMed Abstract | CrossRef Full Text | Google Scholar

Blázquez-Carmona, P., Sanchez-Raya, M., Mora-Macías, J., Gómez-Galán, J. A., Domínguez, J., and Reina-Romo, E. (2020). Real-time wireless platform for in vivo monitoring of bone regeneration. Sensors Switz. 20, 1–23. doi:10.3390/s20164591

PubMed Abstract | CrossRef Full Text | Google Scholar

Blázquez-Carmona, P., Mora-Macías, J., Morgaz, J., Fernández-Sarmiento, J. A., Domínguez, J., and Reina-Romo, E. (2021a). Mechanobiology of bone consolidation during distraction osteogenesis: bone lengthening vs. Bone transport. Ann. Biomed. Eng. 49, 1209–1221. doi:10.1007/s10439-020-02665-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Blázquez-Carmona, P., Mora-Macías, J., Sanz-Herrera, J. A., Morgaz, J., Navarrete-Calvo, R., Domínguez, J., et al. (2021b). Mechanical influence of surrounding soft tissue on bone regeneration processes: a bone lengthening study. Ann. Biomed. Eng. 49, 642–652. doi:10.1007/s10439-020-02592-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Blázquez-Carmona, P., Mora-Macías, J., Martínez-Vázquez, F. J., Morgaz, J., Domínguez, J., and Reina-Romo, E. (2023a). Mechanics predicts effective critical-size bone regeneration using 3D-Printed bioceramic scaffolds. Tissue Eng. Regen. Med. 20, 893–904. doi:10.1007/s13770-023-00577-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Blázquez-Carmona, P., Mora-Macías, J., Morgaz, J., del Mar Granados, M., Domínguez, J., and Reina-Romo, E. (2023b). Gait analysis: an effective tool to mechanically monitor the bone regeneration of critical-sized defects in tissue engineering applications. PLoS One 18, e0296510. doi:10.1371/journal.pone.0296510

PubMed Abstract | CrossRef Full Text | Google Scholar

Braunsmann, C., Proksch, R., Revenko, I., and Schäffer, T. E. (2014). Creep compliance mapping by atomic force microscopy. Polym. Guildf. 55, 219–225. doi:10.1016/J.POLYMER.2013.11.029

CrossRef Full Text | Google Scholar

Brunner, U. H., Cordey, J., Schweiberer, L., and Perren, S. M. (1994). Force required for bone segment transport in the treatment of large bone defects using medullary nail fixation. Clin. Orthop. Relat. Res. 301, 147–155. doi:10.1097/00003086-199404000-00023

PubMed Abstract | CrossRef Full Text | Google Scholar

Chow, D. H. K., Leung, K. S., Qin, L., Leung, A. H. C., and Cheung, W. H. (2011). Low-magnitude high-frequency vibration (LMHFV) enhances bone remodeling in osteoporotic rat femoral fracture healing. J. Orthop. Res. 29, 746–752. doi:10.1002/jor.21303

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, S. L., Leung, K. S., and Cheung, W. H. (2014). Low-magnitude high-frequency vibration enhances gene expression related to callus formation, mineralization and remodeling during osteoporotic fracture healing in rats. J. Orthop. Res. 32, 1572–1579. doi:10.1002/jor.22715

PubMed Abstract | CrossRef Full Text | Google Scholar

Claes, L. E., Wilke, H. J., Augat, P., Rübenacker, S., and Margevicius, K. J. (1995). Effect of dynamization on gap healing of diaphyseal fractures under external fixation. Clin. Biomech. 10, 227–234. doi:10.1016/0268-0033(95)99799-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Claes, L., Laule, J., Wenger, K., Suger, G., Liener, U., and Kinzl, L. (2000). The influence of stiffness of the fixator on maturation of callus after segmental transport. J. Bone Jt. Surg. Br. 82-B, 142–148. doi:10.1302/0301-620X.82B1.0820142

PubMed Abstract | CrossRef Full Text | Google Scholar

Compton, J., Fragomen, A., and Robert Rozbruch, S. (2015). Skeletal repair in distraction osteogenesis: mechanisms and enhancements. JBJS Rev. 3, e2–e12. doi:10.2106/JBJS.RVW.N.00107

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, E. M., van der Velde, R., Moon, R. J., van den Bergh, J. P. W., Geusens, P., de Vries, F., et al. (2016). Epidemiology of fractures in the United Kingdom 1988-2012: variation with age, sex, geography, ethnicity and socioeconomic status. Bone 87, 19–26. doi:10.1016/j.bone.2016.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Dias, I. R., Camassa, J. A., Bordelo, J. A., Babo, P. S., Viegas, C. A., Dourado, N., et al. (2018). Preclinical and translational studies in small ruminants (sheep and goat) as models for osteoporosis research. Curr. Osteoporos. Rep. 16, 182–197. doi:10.1007/S11914-018-0431-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, M., Cheng, L., Bollen, P., Schwarz, P., and Overgaard, S. (2010). Glucocorticoid induced osteopenia in cancellous bone of sheep validation of large animal model for spine fusion and biomaterial research. Spine (Phila Pa 1976) 35, 363–370. doi:10.1097/BRS.0b013e3181b8e0ff

PubMed Abstract | CrossRef Full Text | Google Scholar

Dwyer, J. S. M., Owen, P. J., Evans, G. A., Kuiper, J. H., and Richardson, J. B. (1996). Stiffness measurements to assess healing during leg lengthening: a preliminary report. J. Bone Jt. Surg. - Ser. B 78, 286–289. doi:10.1302/0301-620X.78B2.0780286

CrossRef Full Text | Google Scholar

Fischer, V., Haffner-Luntzer, M., Prystaz, K., Scheidt, A. V., Busse, B., Schinke, T., et al. (2017). Calcium and vitamin-D deficiency marginally impairs fracture healing but aggravates posttraumatic bone loss in osteoporotic mice. Sci. Rep. 7, 7223. doi:10.1038/s41598-017-07511-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Fischer, V., Haffner-Luntzer, M., Amling, M., and Ignatius, A. (2018). Calcium and vitamin D in bone fracture healing and post-traumatic bone turnover. Eur. Cell Mater 35, 365–385. doi:10.22203/eCM.v035a25

PubMed Abstract | CrossRef Full Text | Google Scholar

Fisher, J. S., Kazam, J. J., Fufa, D., and Bartolotta, R. J. (2019). Radiologic evaluation of fracture healing. Skelet. Radiol. 48, 349–361. doi:10.1007/S00256-018-3051-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Gorter, E. A., Reinders, C. R., Krijnen, P., Appelman-Dijkstra, N. M., and Schipper, I. B. (2021). The effect of osteoporosis and its treatment on fracture healing a systematic review of animal and clinical studies. Bone Rep. 15, 101117. doi:10.1016/j.bonr.2021.101117

PubMed Abstract | CrossRef Full Text | Google Scholar

Guzon-Illescas, O., Perez Fernandez, E., Crespí Villarias, N., Quirós Donate, F. J., Peña, M., Alonso-Blas, C., et al. (2019). Mortality after osteoporotic hip fracture: incidence, trends, and associated factors. J. Orthop. Surg. Res. 14, 203. doi:10.1186/s13018-019-1226-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, S. J., Chang, S. M., Du, S. C., Zhang, L. Z., and Xiong, W. F. (2023). Two-part intertrochanteric femur fractures with bisection of the lesser trochanter: an irreducible fracture pattern. Geriatr. Orthop. Surg. Rehabil. 14, 21514593231153827. doi:10.1177/21514593231153827

PubMed Abstract | CrossRef Full Text | Google Scholar

Ilizarov, G. A. (1989a). The tension-stress effect on the genesis and growth of tissues. Part I. The influence of stability of fixation and soft-tissue preservation. Clin. Orthop. Relat. Res. 238, 249–281. doi:10.1097/00003086-198901000-00038

PubMed Abstract | CrossRef Full Text | Google Scholar

Ilizarov, G. A. (1989b). The tension-stress effect on the genesis and growth of tissues: part II. The influence of the rate and frequency of distraction. Clin. Orthop. Relat. Res. 239, 263–285. doi:10.1097/00003086-198902000-00029

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanis, J. A., Johnell, O., Oden, A., Sernbo, I., Redlund-Johnell, I., Dawson, A., et al. (2000). Long-term risk of osteoporotic fracture in malmö. Osteoporos. Int. 11, 669–674. doi:10.1007/S001980070064

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanis, J. A., Norton, N., Harvey, N. C., Jacobson, T., Johansson, H., Lorentzon, M., et al. (2021). SCOPE 2021: a new scorecard for osteoporosis in Europe. Arch. Osteoporos. 16, 82. doi:10.1007/s11657-020-00871-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Kido, H. W., Bossini, P. S., Tim, C. R., Parizotto, N. A., da Cunha, A. F., Malavazi, I., et al. (2014). Evaluation of the bone healing process in an experimental tibial bone defect model in ovariectomized rats. Aging Clin. Exp. Res. 26, 473–481. doi:10.1007/s40520-014-0199-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kubo, T., Shiga, T., Hashimoto, J., Yoshioka, M., Honjo, H., Urabe, M., et al. (1999). Osteoporosis infuences the late period of fracture healing in a rat model prepared by ovariectomy and low calcium diet. Available online at: https://pubmed.ncbi.nlm.nih.gov/10416834/ (Accessed August 21, 2024).

Google Scholar

Lelovas, P. P., Xanthos, T. T., Thoma, S. E., Lyritis, G. P., and Dontas, I. A. (2008). The laboratory rat as an animal model for osteoporosis research. Comp. Med. 58, 424–430.

PubMed Abstract | Google Scholar

Lems, W. F., and Raterman, H. G. (2017). Critical issues and current challenges in osteoporosis and fracture prevention. An overview of unmet needs. Ther. Adv. Musculoskelet. Dis. 9, 299–316. doi:10.1177/1759720X17732562

PubMed Abstract | CrossRef Full Text | Google Scholar

Leslie, M. P., and Baumgaertner, M. R. (2023). Intertrochanteric femur fractures. Orthop. Trauma Call Attend. Surg., 259–268. doi:10.1201/9781003525493-33

CrossRef Full Text | Google Scholar

Li, Y. F., Luo, E., Feng, G., Zhu, S. S., Li, J. H., and Hu, J. (2010). Systemic treatment with strontium ranelate promotes tibial fracture healing in ovariectomized rats. Osteoporos. Int. 21, 1889–1897. doi:10.1007/s00198-009-1140-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z., Liu, J., Li, C., Wu, M., Li, Y., Cui, Y., et al. (2023). Advances in the application of bone transport techniques in the treatment of bone nonunion and bone defects. Orthop. Surg. 15, 3046–3054. doi:10.1111/os.13936

PubMed Abstract | CrossRef Full Text | Google Scholar

Lill, C. A., Lill, C. A., Fluegel, A. K., and Schneider, E. (2002). Effect of ovariectomy, malnutrition and glucocorticoid application on bone properties in sheep: a pilot study. Osteoporos. Int. 13, 480–486. doi:10.1007/S001980200058

PubMed Abstract | CrossRef Full Text | Google Scholar

Lill, C. A., Hesseln, J., Schlegel, U., Eckhardt, C., Goldhahn, J., and Schneider, E. (2003). Biomechanical evaluation of healing in a non-critical defect in a large animal model of osteoporosis. J. Orthop. Res. 21, 836–842. doi:10.1016/S0736-0266(02)00266-8

PubMed Abstract | CrossRef Full Text | Google Scholar

McCann, R. M., Colleary, G., Geddis, C., Clarke, S. A., Jordan, G. R., Dickson, G. R., et al. (2008). Effect of osteoporosis on bone mineral density and fracture repair in a rat femoral fracture model. J. Orthop. Res. 26, 384–393. doi:10.1002/jor.20505

PubMed Abstract | CrossRef Full Text | Google Scholar

Mora-Macías, J., Reina-Romo, E., López-Pliego, M., Giráldez-Sánchez, M. A., and Domínguez, J. (2015a). In vivo mechanical characterization of the distraction callus during bone consolidation. Ann. Biomed. Eng. 43, 2663–2674. doi:10.1007/s10439-015-1330-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Mora-Macías, J., Reina-Romo, E., Morgaz, J., and Domínguez, J. (2015b). In vivo gait analysis during bone transport. Ann. Biomed. Eng. 43, 2090–2100. doi:10.1007/s10439-015-1262-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Mora-Macías, J., Reina-Romo, E., and Domínguez, J. (2016). Model of the distraction callus tissue behavior during bone transport based in experiments in vivo. J. Mech. Behav. Biomed. Mater 61, 419–430. doi:10.1016/j.jmbbm.2016.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Morasiewicz, M., Koprowski, P., Wrzosek, Z., and Dragan, S. (2010). Gait analysis in patients after lengthening and correction of tibia with ilizarov technique. Physiotherapy 18, 9–18. doi:10.2478/v10109-010-0045-4

CrossRef Full Text | Google Scholar

Namkung-Matthai, H., Appleyard, R., Jansen, J., Hao Lin, J., Maastricht, S., Swain, M., et al. (2001). Osteoporosis influences the early period of fracture healing in a rat osteoporotic model. Bone 28, 80–86. doi:10.1016/s8756-3282(00)00414-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikolaou, V. S., Efstathopoulos, N., Kontakis, G., Kanakaris, N. K., and Giannoudis, P. V. (2009). The influence of osteoporosis in femoral fracture healing time. Injury 40, 663–668. doi:10.1016/j.injury.2008.10.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Oheim, R., Amling, M., Ignatius, A., and Pogoda, P. (2012). Large animal model for osteoporosis in humans: the ewe. Eur. Cell Mater 24, 372–385. doi:10.22203/ECM.V024A27

PubMed Abstract | CrossRef Full Text | Google Scholar

Oliver, R. A., Yu, Y., Yee, G., Low, A. K., Diwan, A. D., and Walsh, W. R. (2013). Poor histological healing of a femoral fracture following 12 months of oestrogen deficiency in rats. Osteoporos. Int. 24, 2581–2589. doi:10.1007/s00198-013-2345-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pawik, Ł., Fink-Lwow, F., Pajchert Kozłowska, A., Szelerski, Ł., Żarek, S., Górski, R., et al. (2021). Assessment of gait after treatment of Tibial nonunion with the ilizarov method. Int. J. Environ. Res. Public Health 18, 4217. doi:10.3390/ijerph18084217

PubMed Abstract | CrossRef Full Text | Google Scholar

Reinwald, S., and Burr, D. (2008). Review of nonprimate, large animal models for osteoporosis research. J. Bone Min. Res. 23, 1353–1368. doi:10.1359/JBMR.080516

PubMed Abstract | CrossRef Full Text | Google Scholar

Rozbruch, S. R., Pugsley, J. S., Fragomen, A. T., and Ilizarov, S. (2008). Repair of tibial nonunions and bone defects with the taylor spatial frame. J. Orthop. Trauma 22, 88–95. doi:10.1097/BOT.0B013E318162AB49

PubMed Abstract | CrossRef Full Text | Google Scholar

Runyan, C. M., and Gabrick, K. S. (2017). Biology of bone formation, fracture healing, and distraction osteogenesis. J. Craniofacial Surg. 28, 1380–1389. doi:10.1097/SCS.0000000000003625

PubMed Abstract | CrossRef Full Text | Google Scholar

Rupp, M., Biehl, C., Malhan, D., Hassan, F., Attia, S., Rosch, S., et al. (2021). Large animal model of osteoporotic defect healing: an alternative to metaphyseal defect model. Life 11, 254. doi:10.3390/life11030254

PubMed Abstract | CrossRef Full Text | Google Scholar

Shih, Y., Bartschat, N. I., and Cheng, E. Y. (2022). Sliding hip screw and side plate for intertrochanteric hip fractures. JBJS Essent. Surg. Tech. 12, e19.00038. doi:10.2106/JBJS.ST.19.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

Sopakayang, R., and De Vita, R. (2011). A mathematical model for creep, relaxation and strain stiffening in parallel-fibered collagenous tissues. Med. Eng. Phys. 33, 1056–1063. doi:10.1016/J.MEDENGPHY.2011.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, J. J., Zheng, X. H., Wang, L. Y., Liu, L., Jing, W., Lin, Y. F., et al. (2014). New bone formation enhanced by ADSCs overexpressing hRunx2 during mandibular distraction osteogenesis in osteoporotic rabbits. J. Orthop. Res. 32, 709–720. doi:10.1002/JOR.22590

PubMed Abstract | CrossRef Full Text | Google Scholar

Tatehara, S., Miyamoto, Y., Takechi, M., Momota, Y., and Yuasa, T. (2011). Osteoporosis influences the early period of the healing after distraction osteogenesis in a rat osteoporotic model. J. Cranio-Maxillofacial Surg. 39, 2–9. doi:10.1016/j.jcms.2010.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Thormann, U., Khawassna, T.El, Ray, S., Duerselen, L., Kampschulte, M., Lips, K., et al. (2014). Differences of bone healing in metaphyseal defect fractures between osteoporotic and physiological bone in rats. Injury 45, 487–493. doi:10.1016/j.injury.2013.10.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, Z. H., Yu, F., Liang, H. D., and He, B. (2013). Chemical characterization and varying level of the Proteoglycans. Carbohydr. Polym. 97, 239–242. doi:10.1016/J.CARBPOL.2013.04.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Toscano-Angulo, J. J., Mora-Macías, J., Blázquez-Carmona, P., Morgaz, J., Navarrete-Calvo, R., Domínguez, J., et al. (2025). Risk of fragility fracture is aggravated during bone regeneration processes in osteoporotic sheep. PLoS One 20, e0319910. doi:10.1371/JOURNAL.PONE.0319910

PubMed Abstract | CrossRef Full Text | Google Scholar

Turner, A. S. (2001). Animal models of osteoporosis - necessity and limitations. Eur. Cell Mater 1, 66–81. doi:10.22203/ecm.v001a08

PubMed Abstract | CrossRef Full Text | Google Scholar

Webb, J., Herling, G., Gardner, T., Kenwright, J., and Simpson, A. H. R. W. (1996). Manual assessment of fracture stiffness. Injury 27, 319–320. doi:10.1016/0020-1383(96)00009-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wee, J., Rahman, T., Akins, R. E., Seliktar, R., Levine, D. G., Richardson, D. W., et al. (2011). Using distraction forces to drive an autodistractor during limb lengthening. Med. Eng. Phys. 33, 1001–1007. doi:10.1016/j.medengphy.2011.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wehrle, E., Liedert, A., Heilmann, A., Wehner, T., Bindl, R., Fischer, L., et al. (2015). The impact of low-magnitude high-frequency vibration on fracture healing is profoundly influenced by the oestrogen status in mice. DMM Dis. Models Mech. 8, 93–104. doi:10.1242/dmm.018622

PubMed Abstract | CrossRef Full Text | Google Scholar

Whittier, X., and Saag, K. G. (2016). Glucocorticoid-induced osteoporosis. Rheum. Dis. Clin. North Am. 42, 177–189. doi:10.1016/J.RDC.2015.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, R. M., Thormann, U., Choy, M. H., Chim, Y. N., Li, M. C., Wang, J. Y., et al. (2019). A metaphyseal fracture rat model for mechanistic studies of osteoporotic bone healing. Eur. Cell Mater 37, 420–430. doi:10.22203/eCM.v037a25

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, A. M., Bisignano, C., James, S. L., Abady, G. G., Abedi, A., Abu-Gharbieh, E., et al. (2021). Global, regional, and national burden of bone fractures in 204 countries and territories, 1990–2019: a systematic analysis from the global burden of disease study 2019. Lancet Healthy Longev. 2, e580–e592. doi:10.1016/S2666-7568(21)00172-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, S. wen, Wang, J. wei, Li, W., Wang, Y., and Zhao, G. feng (2004). Osteoporosis impairs fracture healing of tibia in a rat osteoporotic model. Zhonghua Yi Xue Za Zhi 84, 1205–1209. doi:10.3760/j:issn:0376-2491.2004.14.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Yingjie, H., Ge, Z., Yisheng, W., Ling, Q., Hung, W. Y., Kwoksui, L., et al. (2007). Changes of microstructure and mineralized tissue in the middle and late phase of osteoporotic fracture healing in rats. Bone 41, 631–638. doi:10.1016/j.bone.2007.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Young, M. F. (2003). Bone matrix proteins: their function, regulation, and relationship to osteoporosis. Osteoporos. Int. 14 (Suppl. 3), 35–42. doi:10.1007/s00198-002-1342-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Zarrinkalam, M. R., Beard, H., Schultz, C. G., and Moore, R. J. (2009). Validation of the sheep as a large animal model for the study of vertebral osteoporosis. Eur. Spine J. 18, 244–253. doi:10.1007/s00586-008-0813-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Zhao, G., Zhang, Y., Wang, J., Wang, Y., Cheng, L., et al. (2018). Activation of JNK signaling in osteoblasts is inversely correlated with collagen synthesis in age-related osteoporosis. Biochem. Biophys. Res. Commun. 504, 771–776. doi:10.1016/J.BBRC.2018.08.094

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: osteoporosis, bone regeneration, bone transport, distraction osteogenesis, distraction force, viscoelastic model, gait analysis, x-ray

Citation: Toscano-Angulo JJ, Mora-Macías J, Blázquez-Carmona P, Sánchez-Raya M, Morgaz J, Gómez-Galán JA, Granados MM, Domínguez J and Reina-Romo E (2025) Bone regeneration during osteoporosis: a translational in vivo monitoring of callus mechanical parameters. Front. Bioeng. Biotechnol. 13:1646500. doi: 10.3389/fbioe.2025.1646500

Received: 13 June 2025; Accepted: 29 September 2025;
Published: 29 October 2025.

Edited by:

Mona Kamal Marei, Alexandria University, Egypt

Reviewed by:

Jingming Gao, Shanghai Jiaotong University School of Medicine, China
Murat Horasan, Aksaray University, Türkiye

Copyright © 2025 Toscano-Angulo, Mora-Macías, Blázquez-Carmona, Sánchez-Raya, Morgaz, Gómez-Galán, Granados, Domínguez and Reina-Romo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Esther Reina-Romo, ZXJyZWluYUB1cy5lcw==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.