Academic literature on the topic 'Bone formation/resorption'

ABSTRACT Insulin-like growth factor-I (IGF-I) is a potent stimulator of bone formation. Whether this growth factor also induces bone resorption has not been studied in detail. We used two organ culture systems to examine the direct effect of IGF-I on bone resorption. Fetal mouse radii/ulnae, containing mature osteoclasts, showed no response to IGF-I, indicating that osteoclastic activity is not influenced by IGF-I. Fetal mouse metacarpals/metatarsals, containing just osteoclast precursors and progenitors, showed an increase in resorption in response to IGF-I, indicating that IGF-I stimulates the formulation of osteoclast precursors/progenitors and thereby increases the number of osteoclasts. Interleukin-6 (IL-6) has been hypothesized to be a mediator of bone resorptive agents such as parathyroid hormone (PTH). Both radii/ulnae and metacarpals/metatarsals reacted to IGF-I with an increase in IL-6 production. IL-6 production by UMR-106 osteogenic osteosarcoma cells was positively modulated by IGF-I, indicating that osteoblasts are likely to be the cells responsible for increased IL-6 production by the bones, and that IL-6 might be a mediatory of IGF-I-stimulated bone resorption. Journal of Endocrinology (1992) 132, 433–438

The process of bone remodeling is the result of the regulated balance between bone cell populations, namely bone-forming osteoblasts, bone-resorbing osteoclasts, and the osteocyte, the mechanosensory cell type. Osteoclasts derived from the hematopoietic stem cell lineage are the principal cells involved in bone resorption. In osteolytic diseases such as rheumatoid arthritis, periodontitis, and osteoporosis, the balance is lost and changes in favor of bone resorption. Therefore, it is vital to elucidate the mechanisms of osteoclast formation and bone resorption. It has been reported that osteocytes express Receptor activator of nuclear factor κΒ ligand (RANKL), an essential factor for osteoclast formation. RANKL secreted by osteocytes is the most important factor for physiologically supported osteoclast formation in the developing skeleton and in pathological bone resorption such as experimental periodontal bone loss. TNF-α directly enhances RANKL expression in osteocytes and promotes osteoclast formation. Moreover, TNF-α enhances sclerostin expression in osteocytes, which also increases osteoclast formation. These findings suggest that osteocyte-related cytokines act directly to enhance osteoclast formation and bone resorption. In this review, we outline the most recent knowledge concerning bone resorption-related cytokines and discuss the osteocyte as the master regulator of bone resorption and effector in osteoclast formation.

The quantity and quality of bone tissue renewal are dependent on the generation of new bone (deposition) mediated by osteoblasts and the loss (resorption) mediated by osteoclasts. For each of these processes there are important markers that can be measured in serum or urine. Resorption markers are products of metabolic degradation of bone matrix in particu-lar of the type I collagen (hydroxyproline, pyridinoline and deoxypyridinoline). In addition, the resorptive activity can also be evaluated through the tartrate resistant acid phosphatase (TRAP) and calcium-creatinine ratio in urine. Bone formation markers are collagen proteins (ALP, OCN), non collagen (ONC, OPN, BSP) or fragments of collagen synthesis (procollagen peptides).

Chronic corticosteroid treatment is known to induce bone loss and osteoporosis. Osteoclasts are specialised bone-resorbing cells that are formed from mononuclear phagocyte precursors that circulate in the monocyte fraction. In this study we have examined the effect of the synthetic glucocorticoid, dexamethasone, on human osteoclast formation and bone-resorbing activity. Human monocytes were cultured for up to 21 days on glass coverslips and dentine slices, with soluble receptor activator for nuclear factor kappaB ligand (RANKL; 30 ng/ml) and human macrophage-colony stimulating factor (M-CSF; 25 ng/ml) in the presence and absence of dexamethasone (10(-8) M). The addition of dexamethasone over a period of 7 and 14 days of culture of monocytes (during which cell proliferation and differentiation predominantly occurred) resulted in a marked increase in the formation of tartrate-resistant acid phosphatase-positive multinucleated cells and an increase in lacunar resorption. The addition of dexamethasone to monocyte cultures after 14 days (when resorptive activity of osteoclasts had commenced) reduced the extent of lacunar resorption compared with cultures to which no dexamethasone had been added. The addition of dexamethasone to osteoclasts isolated from giant cell tumours of bone significantly inhibited resorption pit formation. Our findings indicate that dexamethasone has a direct effect on osteoclast formation and activity, stimulating the proliferation and differentiation of human osteoclast precursors and inhibiting the bone-resorbing activity of mature osteoclasts.

Abstract We have recently found that administration of oestradiol-17β (OE2) to rats stimulates trabecular bone formation. It is not known, however, whether oestrogen has a similar action on bone formation rate under physiological circumstances. Oestrogen is known to suppress bone resorption, and oestrogen-deficient states in the rat, as in humans, are associated with an increase in bone resorption that entrains an increase in bone formation. To see if the latter masks a relative reduction in bone formation, due to oestrogen deficiency, we measured bone formation very early after ovariectomy, before the resorption-induced increase in bone formation becomes established. To do this, rats were administered fluorochrome labels before and after ovariectomy, spaced at weekly intervals in the first, and 3-day intervals in the second experiment. In both experiments there was a decrease in indices of bone formation in the labelling interval immediately following ovariectomy such that, using the shorter fluorochrome intervals, the mineral apposition rate fell to 69%, the double-labelled surface to 45%, and the bone formation rate to 36% of sham-ovariectomized levels. The reduction was not sustained in the subsequent label intervals, presumably masked by the increase in bone formation attributable to increased resorption. These results suggest that if bone formation is assessed before this resorption-entrained increase in bone formation occurs, oestrogen deficiency is associated with a reduction in dynamic indices of bone formation. Thus, these experiments suggest that oestrogen stimulates bone formation under physiological circumstances, and that the osteopaenia that follows oestrogen deficiency may be attributable not only to an increase in bone resorption, but also to a relative deficiency in bone formation. Journal of Endocrinology (1994) 142, 119–125

The bone remodelling process, performed by the Bone Multicellular Unit (BMU) is a key multi-hierarchically regulated process, which provides and supports various functionality of bone tissue. It is also plays a critical role in bone disorders, as well as bone tissue healing following damage. Improved modelling of bone turnover processes could play a significant role in helping to understand the underlying cause of bone disorders and thus develop more effective treatment methods. Moreover, despite extensive research in the field of bone tissue engineering, bonescaffold development is still very empirical. The development of improved methods of modelling the bone remodelling process should help to develop new implant designs which encourage rapid osteointegration. There are a number of limitations with respect to previous research in the field of mathematical modelling of the bone remodelling process, including the absence of an osteocyte loop of regulation. It is within this context that this research presented in this thesis utilises a range of modelling methods to develop a framework for bone remodelling which can be used to improve treatment methods for bone disorders. The study concentrated on dynamic and steady state variables that in perspective can be used as constraints for optimisation problem considering bone remodelling or tissue remodelling with the help of the grafts/scaffolds.The cellular and combined allosteric-regulation approaches to modelling of bone turnover, based on the osteocyte loop of regulation, have been studied. Both approaches have been studied different within wide range of rate parameters. The approach to the model validation has been considered, including a statistical approach and parameter reduction approach. From a validation perspective the cellular class of modes is preferable since it has fewer parameters to validate. The optimal control framework for regulation of remodelling has been studied. Future work in to improve the models and their application to bone scaffold design applications have been considered. The study illustrates the complexity of formalisation of the metabolic processes and the relations between hierarchical subsystems in hard tissue where a relatively small number of cells are active. Different types/modes of behaviour have been found in the study: relaxational, periodical and chaotic modes. All of these types of behaviour can be found, in bone tissue. However, a chaotic or periodic modes are ones of the hardest to verify although a number of periodical phenomena have been observed empirically in bone and skeletal development. Implementation of the allosteric loop into cellular model damps other types of behaviour/modes. In this sense it improves the robustness, predictability and control of the system. The developed models represent a first step in a hierarchical model of bone tissue (system versus local effects). The limited autonomy of any organ or tissue implies differentiation on a regulatory level as well as physiological functions and metabolic differences. Implementation into the cellular phenomenological model of allosteric-like loop of regulation has been performed. The results show that the robustness of regulation can be inherited from the phenomenological model. An attempt to correlate the main bone disorders with different modes of behaviour has been undertaken using Paget’s disorder in bone, osteoporosis and some more general skeleton disorders which lead to periodical changes in bone mass, reported by some authors. However, additional studies are needed to make this hypothesis significant. The study has revealed a few interesting techniques. When studying a multidimensional phenomenon, as a bone tissue is, the visualisation and data reduction is important for analysis and interpretation of results. In the study two novel technical methods have been proposed. The first is the graphical matrix method to visualise/project the multidimensional phase space of variables into diagonal matrix of regular combination of two-dimensional graphs. This significantly simplifies the analysis and, in principle, makes it possible to visualise the phase space higher than three-dimensional. The second important technical development is the application of the Monte-Carlo method in combination with the regression method to study the character and stability of the equilibrium points of a dynamic system. The advantage of this method is that it enables the most influential parameters that affect the character and stability of the equilibrium point to be identified from a large number of the rate parameters/constants of the dynamic system. This makes the interpretation of parameters and conceptual verification of the model much easier.

[Truncated abstract] Intracellular communication between osteoclasts and osteoblasts is imperative to maintain bone integrity. A myriad of molecules are responsible for regulating osteoblast and osteoclast activity. In particular, it is well documented that osteoblast-derived factors are crucial in directly controlling osteoclast formation and function. Since bone formation is coupled to bone resorption, it would be expected that osteoclasts also have some role in regulating the growth and function of osteoblast cells. However, despite extensive research upon osteoclast and osteoblast biology, the mechanisms by which osteoclasts regulate osteoblast growth and function is not well understood. In an attempt to further elucidate the mechanisms by which osteoclasts and osteoblasts communicate, the technique of subtractive hybridisation was used to identify a novel osteoclastderived factor identical to that of mouse Seminal Vesicle Secretion VII (SVS VII). Previous characterisation of the gene in bone demonstrated that SVS VII was abundantly and specifically expressed by mature osteoclasts (Phan, 2004). Additional research hinted that SVS VII acted as a novel osteoclast-derived factor, that by paracrine mechanisms, targeted osteoblast function (Phan, 2004). However, it remained open as to whether the SVS VII molecule did uniquely target the osteoblast, and whether this interaction influenced bone formation in vivo. Therefore, this thesis endeavoured to functionally characterise the role of the SVS VII molecule in the bone environment. ... Further work is needed to identigy a clear consensus binding sequence, to determine the specificity of the interaction between SVS VII protein and each phage clone, and to isolate a specific binding partner for SVS VII. In conclusion, the studies of this thesis sought to characterise the significance of SVS VII expression by mature osteoclasts, relative to its effects on osteoblast behaviour, but failed to conclusively determine a role for SVS VII in bone. Given that the effects of SVS VII on in vitro osteoblast activity and function are minimal, it is doubtful that SVS VII primarily acts as a paracrine factor integral to osteoblast function. Therefore, these findings conflict with those presented previously (Phan, 2004). However, it was demonstrated that SVS VII treatment was associated with in vivo effect on the skeleton, suggesting that SVS VII may target other elements of the bone microenvironment. Via mechanisms not yet understood, which possibly involves additional factors of the bone 11 extracellular matrix, SVS VII may target a subset of osteoprogenitor cells within the bone environment and act to regulate their proliferation. Therefore, SVS VII may enhance osteogenic precursor cell number at sites of bone formation which would increase the pool of cells that can differentiate down the osteoblast linage and contribute to bone formation. In this regard, SVS VII might function in a manner homologous to the Ly-6 molecule Sca-1 and act as an important factor that maintains a balance between the bone formation and resorption process. Clearly, more work focusing on alternative facets of bone biology is needed to identify whether there is a significant role for SVS VII in skeletal tissue.

Thesis (Ph.D.)--East Tennessee State University, 2004.
Title from electronic submission form. ETSU ETD database URN: etd-1120104-223525 Includes bibliographical references. Also available via Internet at the UMI web site.

Patients with inflammatory or infectious conditions such as periodontitis, peri-implantitis, osteomyelitis, rheumatoid arthritis, septic arthritis and loosened joint prosthesis display varying severity of destruction in the adjacent bone tissue. Bone loss in inflammatory diseases is considered a consequence of cytokine induced RANKL and subsequent enhanced osteoclast formation. Hence, osteotropic cytokines and their receptors have been suggested to be important for the pathogenesis of inflammation-induced osteolysis. It is, here, suggested that bacterial components, so called “pathogen associated molecular patterns=PAMPs”, may also be involved. Varieties of cells express receptors for PAMPs, including Toll-like receptors (TLRs) which are the first line of defence in the innate immune system. LPS (lipopolysaccharide), fimbria and lipoproteins from pathogenic bacteria such as P. gingivalis, S. aureus are ligands for TLR2 and flagellin from pathogenic flagellated bacteria like S. typhimurium is a ligand for TLR5.   Since the susceptibility to, or the severity of inflammation-associated bone diseases are likely related to differences in the tissue response, and the mechanisms by which PAMPs interact with bone cells are not fully understood, we aimed to elucidate the importance of different TLRs for inflammation induced bone loss by conducting in vitro and in vivo investigations. Activation of TLR2 and TLR5 in organ cultured mouse parietal bones increased bone resorption in a time- and concentration-dependent manner by a process inhibited by OPG and bisphosphonate, showing the crucial role of RANKL-induced osteoclast formation. In addition, the number of osteoclasts, expression of osteoclastic genes and osteoclastogenic transcription factors were increased. In the bones and in osteoblasts isolated from the bones, TLR2 agonists increased the expression of RANKL without affecting OPG, while TLR5 activation resulted in enhanced RANKL and decreased OPG. Activation of both TLR2 and TLR5 stimulated the expression in both bones and osteoblasts of prostaglandins and pro-inflammatory cytokines, known to stimulate RANKL. By blocking the cytokines and prostaglandin, we showed that TLR2 and TLR5 induced bone resorption and RANKL expression are independent of these molecules. Activation of TLR2, but not TLR5, in mouse bone marrow macrophage cultures inhibited RANKL-induced osteoclast formation, an effect not observed in committed pre-osteoclasts. Local administration in vivo of TLR2 and TLR5 agonists on the top of mouse skull bones enhanced local and systemic osteoclast formation and bone resorption. Using knockout mice, we showed that the effects by LPS from P. gingivalis (used as TLR2 agonist) and flagellins (used as TLR5 agonists) are explicit for TLR2 and TLR5 ex vivo and in vivo, respectively. These data show that stimulation of TLR2 and TLR5 results in bone resorption in vitro and in vivo mediated by increased RANKL in osteoblasts and thus may be one mechanism for developing inflammatory bone loss. Interestingly, histological analyses of skull bones of mice treated locally with TLR2 and TLR5 agonists revealed that the bones not only reacted with locally increased osteoclastogenesis (osteoclast formation), but also with locally increased new bone formation. This was observed on both periosteal and endosteal sides of the bones, as well as in the bone marrow compartment. The formation of new bone was seen close to osteoclasts in some parts, but also in other areas, distant from these cells. The response was associated with active, cuboidal osteoblasts, extensive cell proliferation and increased expression of genes coding for bone matrix proteins and osteoblastic transcription factors. In conclusion, activation of TLR2 and TLR5 in osteoblasts results in bone loss associated with enhanced osteoclast formation and bone resorption, as well as with increased osteoblast differentiation and new bone formation, indicating that inflammation causes bone modeling. The data provide an explanation why LPS from P. gingivalis and flagellin from flagella-expressing bacteria can stimulate bone loss. Since TLR2 and TLR5 can be activated not only by bacterial components, but also by endogenous ligands produced in inflammatory processes, the data also contribute to the understanding of inflammation induced bone loss in autoimmune diseases. Hopefully, these findings will contribute to the development of treatment strategies for inflammation induced bone loss.

In cases of compromised bone remodeling like osteoporosis, insufficient osseointegration occurs and results in implant failure. Implant retention relies on proper secondary fixation, which is developed during bone remodeling. This process is disrupted in metastatic bone diseases like osteoporosis. Osteoporosis is characterized low bone mass and bone strength resulting from either accelerated osteoclast-mediated bone resorption or impaired osteoblast-mediated bone formation. These two processes are not independent phenomena. In fact, osteoporosis can be viewed as a breakdown of the cellular communication connecting bone resorption to bone formation. Because bone remodeling occurs at temporally generated specific anatomical sites and at different times, local regulators that control cross-talk among the cells of the BRU are important. Previous studies show Ti implant surface characteristics like roughness, hydrophilicity, and chemistry influence the osteoblastic differentiation of human MSCs and maturation of OBs. Furthermore, microstructured Ti surfaces modulate the production of factors shown to be important in the reciprocal communication necessary for the maintenance of healthy bone remodeling. Semaphorin signaling proteins are known to couple the communication of osteoblasts to osteoclasts and are capable of stimulating bone formation or bone resorption depending on certain cues. Implant surface properties can be optimized to exploit these effects to favor rapid osseointegration in patients with osteoporosis.

Bone is metabolically active throughout life and metabolic disturbances may have wide-ranging consequences that are not restricted to altering its mechanics. The study of some genetic bone diseases has already provided remarkable insights into the normal regulation of bone metabolism. Skeletal dysplasias are developmental disorders of the chondro-osseous tissues commonly resulting in short stature, which is often disproportionate. The underlying mutations are often in the structural genes encoding components of the matrix but may also involve growth factors or cell signalling. In contrast, the dysostoses tend to affect single bones or groups of bones, reflecting the transient nature of the many different signalling factors to which they are responsive during development. Abnormalities of bone density (high or low) may be due to primary deficiency of bone matrix synthesis (e.g. osteogenesis imperfecta and hypophosphatasia) but may also reflect an imbalance between bone formation and resorption. This may be caused by abnormalities of bone formation (e.g. hyperostosis/sclerosteosis and osteoporosis pseudoglioma syndrome) or bone resorption (e.g. classic osteopetrosis and fibrous dysplasia).

Paget’s disease of bone is an uncommon bone disorder with increased bone resorption and disorganized bone formation of woven bone. Its cause is unclear; there is a clear genetic component but additional environmental factors are important, given the reduction in severity and prevalence in the UK. Paget’s disease is usually asymptomatic and detected by an unexplained raised alkaline phosphatase on routine biochemistry. Symptoms include focal bone pain, including headache. Other symptoms include bone deformity and complications such as fracture and nerve conduction. Paget’s disease can sometimes present with immobilization-associated hypercalcaemia or high-output cardiac failure, and rarely can transform to an osteosarcoma. This chapter addresses the clinical features, diagnosis, and management of Paget’s disease of bone.

Histologic bone abnormalities begin very early in the course of chronic kidney disease. The KDIGO guidelines recommend that bone disease in patients with chronic kidney disease should be diagnosed on the basis of bone biopsy examination, with bone histomorphometry. They have also proposed a new classification system (TMV), using three key features of bone histology—turnover, mineralization, and volume—to describe bone disease in these patients. However, bone biopsy is still rarely performed today, as it involves an invasive procedure and highly specialized laboratory techniques. High-turnover bone disease (osteitis fibrosa cystica) is mainly related to secondary hyperparathyroidism and is characterized by increased rates of both bone formation and resorption, with extensive osteoclast and osteoblast activity, and a progressive increase in peritrabecular marrow space fibrosis. On the other hand, low-turnover (adynamic) bone disease involves a decline in osteoblast and osteoclast activities, reduced new bone formation and mineralization, and endosteal fibrosis. The pathophysiological mechanisms of adynamic bone include vitamin D deficiency, hyperphosphataemia, metabolic acidosis, inflammation, low oestrogen and testosterone levels, bone resistance to parathyroid hormone, and high serum fibroblast growth factor 23. Mixed uraemic osteodystrophy describes a combination of osteitis fibrosa and mineralization defect. In the past few decades, an increase in the prevalence of mixed uraemic osteodystrophy and adynamic bone disease has been observed.

Osteoporosis is defined as a systemic bone disease with reduction in both bone density and microarchitectural integrity, resulting in an increase in fragility fracture risk. It is a multifactorial disease which, through effects on bone formation and resorption, reduces the peak bone mass achieved during early adulthood and increases the rate of bone loss in later adulthood. Osteoporosis is clinically silent until a fragility fracture occurs. There are 3 million patients with osteoporosis in the UK, with over 200 000 fractures per year and 80 000 hip fractures. This chapter addresses the causes, clinical features, diagnosis, and management of osteoporosis.

Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones are a tissue that even in adult life retains the ability to change shape and structure depending on changes in their mechanical and hormonal environment, as well as self-renewal and repair capabilities. This process is called bone turnover. The basic processes of bone turnover are: • bone modeling (incessantly changes in bone shape during individual growth) following resorption and tissue formation at various locations (e.g. bone marrow formation) to increase mass and skeletal morphology. This process occurs in the bones of growing individuals and stops after reaching puberty • bone remodeling (processes involve in maintaining bone tissue by resorbing and replacing old bone tissue with new tissue in the same place, e.g. repairing micro fractures). It is a process involving the removal and internal remodeling of existing bone and is responsible for maintaining tissue mass and architecture of mature bones. Bone turnover is regulated by two types of transformation: • osteoclastogenesis, i.e. formation of cells responsible for bone resorption • osteoblastogenesis, i.e. formation of cells responsible for bone formation (bone matrix synthesis and mineralization) Bone maturity can be defined as the completion of basic structural development and mineralization leading to maximum mass and optimal mechanical strength. The highest rate of increase in pig bone mass is observed in the first twelve weeks after birth. This period of growth is considered crucial for optimizing the growth of the skeleton of pigs, because the degree of bone mineralization in later life stages (adulthood) depends largely on the amount of bone minerals accumulated in the early stages of their growth. The development of the technique allows to determine the condition of the skeletal system (or individual bones) in living animals by methods used in human medicine, or after their slaughter. For in vivo determination of bone properties, Abstract 10 double energy X-ray absorptiometry or computed tomography scanning techniques are used. Both methods allow the quantification of mineral content and bone mineral density. The most important property from a practical point of view is the bone’s bending strength, which is directly determined by the maximum bending force. The most important factors affecting bone strength are: • age (growth period), • gender and the associated hormonal balance, • genotype and modification of genes responsible for bone growth • chemical composition of the body (protein and fat content, and the proportion between these components), • physical activity and related bone load, • nutritional factors: – protein intake influencing synthesis of organic matrix of bone, – content of minerals in the feed (CA, P, Zn, Ca/P, Mg, Mn, Na, Cl, K, Cu ratio) influencing synthesis of the inorganic matrix of bone, – mineral/protein ratio in the diet (Ca/protein, P/protein, Zn/protein) – feed energy concentration, – energy source (content of saturated fatty acids - SFA, content of polyun saturated fatty acids - PUFA, in particular ALA, EPA, DPA, DHA), – feed additives, in particular: enzymes (e.g. phytase releasing of minerals bounded in phytin complexes), probiotics and prebiotics (e.g. inulin improving the function of the digestive tract by increasing absorption of nutrients), – vitamin content that regulate metabolism and biochemical changes occurring in bone tissue (e.g. vitamin D3, B6, C and K). This study was based on the results of research experiments from available literature, and studies on growing pigs carried out at the Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The tests were performed in total on 300 pigs of Duroc, Pietrain, Puławska breeds, line 990 and hybrids (Great White × Duroc, Great White × Landrace), PIC pigs, slaughtered at different body weight during the growth period from 15 to 130 kg. Bones for biomechanical tests were collected after slaughter from each pig. Their length, mass and volume were determined. Based on these measurements, the specific weight (density, g/cm3) was calculated. Then each bone was cut in the middle of the shaft and the outer and inner diameters were measured both horizontally and vertically. Based on these measurements, the following indicators were calculated: • cortical thickness, • cortical surface, • cortical index. Abstract 11 Bone strength was tested by a three-point bending test. The obtained data enabled the determination of: • bending force (the magnitude of the maximum force at which disintegration and disruption of bone structure occurs), • strength (the amount of maximum force needed to break/crack of bone), • stiffness (quotient of the force acting on the bone and the amount of displacement occurring under the influence of this force). Investigation of changes in physical and biomechanical features of bones during growth was performed on pigs of the synthetic 990 line growing from 15 to 130 kg body weight. The animals were slaughtered successively at a body weight of 15, 30, 40, 50, 70, 90, 110 and 130 kg. After slaughter, the following bones were separated from the right half-carcass: humerus, 3rd and 4th metatarsal bone, femur, tibia and fibula as well as 3rd and 4th metatarsal bone. The features of bones were determined using methods described in the methodology. Describing bone growth with the Gompertz equation, it was found that the earliest slowdown of bone growth curve was observed for metacarpal and metatarsal bones. This means that these bones matured the most quickly. The established data also indicate that the rib is the slowest maturing bone. The femur, humerus, tibia and fibula were between the values of these features for the metatarsal, metacarpal and rib bones. The rate of increase in bone mass and length differed significantly between the examined bones, but in all cases it was lower (coefficient b <1) than the growth rate of the whole body of the animal. The fastest growth rate was estimated for the rib mass (coefficient b = 0.93). Among the long bones, the humerus (coefficient b = 0.81) was characterized by the fastest rate of weight gain, however femur the smallest (coefficient b = 0.71). The lowest rate of bone mass increase was observed in the foot bones, with the metacarpal bones having a slightly higher value of coefficient b than the metatarsal bones (0.67 vs 0.62). The third bone had a lower growth rate than the fourth bone, regardless of whether they were metatarsal or metacarpal. The value of the bending force increased as the animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. The rate of change in the value of this indicator increased at a similar rate as the body weight changes of the animals in the case of the fibula and the fourth metacarpal bone (b value = 0.98), and more slowly in the case of the metatarsal bone, the third metacarpal bone, and the tibia bone (values of the b ratio 0.81–0.85), and the slowest femur, humerus and rib (value of b = 0.60–0.66). Bone stiffness increased as animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. Abstract 12 The rate of change in the value of this indicator changed at a faster rate than the increase in weight of pigs in the case of metacarpal and metatarsal bones (coefficient b = 1.01–1.22), slightly slower in the case of fibula (coefficient b = 0.92), definitely slower in the case of the tibia (b = 0.73), ribs (b = 0.66), femur (b = 0.59) and humerus (b = 0.50). Bone strength increased as animals grew. Regardless of the growth point tested, bone strength was as follows femur > tibia > humerus > 4 metacarpal> 3 metacarpal> 3 metatarsal > 4 metatarsal > rib> fibula. The rate of increase in strength of all examined bones was greater than the rate of weight gain of pigs (value of the coefficient b = 2.04–3.26). As the animals grew, the bone density increased. However, the growth rate of this indicator for the majority of bones was slower than the rate of weight gain (the value of the coefficient b ranged from 0.37 – humerus to 0.84 – fibula). The exception was the rib, whose density increased at a similar pace increasing the body weight of animals (value of the coefficient b = 0.97). The study on the influence of the breed and the feeding intensity on bone characteristics (physical and biomechanical) was performed on pigs of the breeds Duroc, Pietrain, and synthetic 990 during a growth period of 15 to 70 kg body weight. Animals were fed ad libitum or dosed system. After slaughter at a body weight of 70 kg, three bones were taken from the right half-carcass: femur, three metatarsal, and three metacarpal and subjected to the determinations described in the methodology. The weight of bones of animals fed aa libitum was significantly lower than in pigs fed restrictively All bones of Duroc breed were significantly heavier and longer than Pietrain and 990 pig bones. The average values of bending force for the examined bones took the following order: III metatarsal bone (63.5 kg) <III metacarpal bone (77.9 kg) <femur (271.5 kg). The feeding system and breed of pigs had no significant effect on the value of this indicator. The average values of the bones strength took the following order: III metatarsal bone (92.6 kg) <III metacarpal (107.2 kg) <femur (353.1 kg). Feeding intensity and breed of animals had no significant effect on the value of this feature of the bones tested. The average bone density took the following order: femur (1.23 g/cm3) <III metatarsal bone (1.26 g/cm3) <III metacarpal bone (1.34 g / cm3). The density of bones of animals fed aa libitum was higher (P<0.01) than in animals fed with a dosing system. The density of examined bones within the breeds took the following order: Pietrain race> line 990> Duroc race. The differences between the “extreme” breeds were: 7.2% (III metatarsal bone), 8.3% (III metacarpal bone), 8.4% (femur). Abstract 13 The average bone stiffness took the following order: III metatarsal bone (35.1 kg/mm) <III metacarpus (41.5 kg/mm) <femur (60.5 kg/mm). This indicator did not differ between the groups of pigs fed at different intensity, except for the metacarpal bone, which was more stiffer in pigs fed aa libitum (P<0.05). The femur of animals fed ad libitum showed a tendency (P<0.09) to be more stiffer and a force of 4.5 kg required for its displacement by 1 mm. Breed differences in stiffness were found for the femur (P <0.05) and III metacarpal bone (P <0.05). For femur, the highest value of this indicator was found in Pietrain pigs (64.5 kg/mm), lower in pigs of 990 line (61.6 kg/mm) and the lowest in Duroc pigs (55.3 kg/mm). In turn, the 3rd metacarpal bone of Duroc and Pietrain pigs had similar stiffness (39.0 and 40.0 kg/mm respectively) and was smaller than that of line 990 pigs (45.4 kg/mm). The thickness of the cortical bone layer took the following order: III metatarsal bone (2.25 mm) <III metacarpal bone (2.41 mm) <femur (5.12 mm). The feeding system did not affect this indicator. Breed differences (P <0.05) for this trait were found only for the femur bone: Duroc (5.42 mm)> line 990 (5.13 mm)> Pietrain (4.81 mm). The cross sectional area of the examined bones was arranged in the following order: III metatarsal bone (84 mm2) <III metacarpal bone (90 mm2) <femur (286 mm2). The feeding system had no effect on the value of this bone trait, with the exception of the femur, which in animals fed the dosing system was 4.7% higher (P<0.05) than in pigs fed ad libitum. Breed differences (P<0.01) in the coross sectional area were found only in femur and III metatarsal bone. The value of this indicator was the highest in Duroc pigs, lower in 990 animals and the lowest in Pietrain pigs. The cortical index of individual bones was in the following order: III metatarsal bone (31.86) <III metacarpal bone (33.86) <femur (44.75). However, its value did not significantly depend on the intensity of feeding or the breed of pigs.

Aging shifts bone remodeling toward a negative balance between bone formation and resorption, causing bone loss and increased fracture risk. Anti-resorptive agents are commonly used to inhibit bone resorption and stabilize bone mass. While they are effective to prevent further bone loss, there is also a great need for anabolic agents which can reverse bone deterioration and regain lost skeletal integrity. Intermittent parathyroid hormone (PTH) treatment is the only FDA-approved anabolic treatment for osteoporosis, which greatly stimulates bone formation. Combined therapy of anti-resorptive drugs, such as alendronate (ALN), and PTH have been proposed and are expected to further stimulate bone formation. However, studies show conflicting results regarding the effectiveness of combined treatments: some have reported the addition of ALN to impair PTH function [1, 2], while others suggest an improvement over PTH monotherapy [3, 4]. The first objective of this study is to document the immediate changes of individual trabecular structures due to PTH and combined therapy within 12 days using in vivo micro computed tomography (μCT). As PTH is typically prescribed for 1 to 3 years to osteoporotic patients, a treatment of 12 days for rats (approximately equivalent to one year of human life) may be more clinically relevant than long-term treatment studies on rats. The secondary purpose of this study was to gain insight into the mechanism of combined versus PTH treatments through a bone dynamic imaging strategy to track events over an individual remodeling site. We hypothesized that PTH and combined treatments would immediately enhance bone formation on the trabecular surface.

Bone is a living tissue which is continually adapting to its biological environment via continuous formation and resorption. It is generally accepted that bone remodeling occurs in response to daily mechanical loading. The remodeling process enables various functions, such as damage repair, adaptation to mechanical loads, and mineral homeostasis [1]. The cells that are responsible for the bone remodeling process are the bone resorbing osteoclasts and the bone forming osteoblasts. These cells closely coordinate their actions in a basic multicellular unit to renew “packets” of bone.

It is well established that bone can adapt to the demands of daily mechanical usage. Mechanical loading can result in bone formation depending on the magnitude, duration, and frequency. Unloading, which can occur during bed rest, micro-gravity exposure and a variety of clinical conditions, can result in bone resorption. In vitro studies have demonstrated that osteoblasts and osteocytes respond to mechanical stimulation, especially oscillatory fluid shear stress. Mechano-responses have included increases in inter- and intra-cellular communication through gap junctions and soluble factors such as nitric oxide and prostaglandin E2 [1]. Bone cell gap junctions are primarily comprised of connexin 43 (Cx43). Mice lacking Cx43 have an osteopenic phenotype and when subjected to cyclic 4 pt. bending loads have an increased tibia bone marrow area [2, 3]. These observations may represent altered cell signaling. To investigate the role of Cx43 in cell signaling and bone mechanotransduction the Cx43 gene was silenced in MC3T3-E1 pre-osteoblast cells subjected to oscillatory fluid shear stress.

The mechanical properties of cancellous bone are determined from a combination of bone quantity (volume), the material properties of the mineralized tissue, and microarchitecture. Bone remodeling is the primary process through which bone mass and structure are altered in the adult skeleton. Bone remodeling involves the coordinated activity of osteoclast and osteoblast cells, which resorb and then form bone at an isolated location on the cancellous bone surface. Because bone resorption precedes formation, each bone remodeling event in cancellous bone is associated with a temporary void on the bone surface known as a remodeling cavity. It has been proposed that remodeling cavities can act as stress risers, modifying stress distributions in cancellous bone and potentially impairing bone strength, stiffness and other mechanical properties. While high resolution finite element modeling supports the idea that remodeling cavities have the potential to modify mechanical properties at the micro-scale (in individual trabeculae) [1] and at the apparent level (entire cancellous bone specimens)[2, 3], the experiments required to confirm these findings are limited because a repeatable method of quantifying the number and size (length width and depth) of remodeling cavities in entire cancellous bone specimens has not yet been demonstrated.

Total hip replacement is one of the most successful and frequent surgery in the world; over a million of these procedures are performed every year, and the numbers are growing with the ageing of the general population. The patients who receive these implants also are younger nowadays. Major problems however still subsist with traditional hip stems: aseptic loosening is a common cause of revision surgery. The main causes of aseptic loosening are both mechanical and biological in origin. Mechanical causes include stress shielding and micromotions at bone-implant interface, and biological causes are mainly osteolysis triggered by wear debris formation and bone remodeling. To remedy the mechanical issues, a biomimetic concept was developed (patent pending): an osseointegrated stem with mechanical properties close to those of the surrounding bone would avoid both stress shielding and micromotions phenomena. To evaluate this concept, a finite element model (FEM) was developed and used to simulate bone resorption, stress shielding and micromotions [1]. The preliminary results were promising as those problems were significantly reduced with the new prosthesis, but the model still remained to be proved accurate; its bone-implant interface was of particular interest because of its decisive influence on micromotions.