Abstract
Preclinical models (typically ovariectomized rats and genetically altered mice) have underpinned much of what we know about skeletal biology. They have been pivotal for developing therapies for osteoporosis and monogenic skeletal conditions, including osteogenesis imperfecta, achondroplasia, hypophosphatasia, and craniodysplasias. Further therapeutic advances, particularly to improve cortical strength, require improved understanding and more rigorous use and reporting.
We describe here how trabecular and cortical bone structure develop, are maintained, and degenerate with aging in mice, rats, and humans, and how cortical bone structure is changed in some preclinical models of endocrine conditions (eg, postmenopausal osteoporosis, chronic kidney disease, hyperparathyroidism, diabetes). We provide examples of preclinical models used to identify and test current therapies for osteoporosis, and discuss common concerns raised when comparing rodent preclinical models to the human skeleton. We focus especially on cortical bone, because it differs between small and larger mammals in its organizational structure. We discuss mechanisms common to mouse and human controlling cortical bone strength and structure, including recent examples revealing genetic contributors to cortical porosity and osteocyte network configurations during growth, maturity, and aging. We conclude with guidelines for clear reporting on mouse models with a goal for better consistency in the use and interpretation of these models.
Keywords: osteoporosis, osteocytes, cortical bone, preclinical research, cortical porosity, mouse models, bone development, ageing
Graphical Abstract
Essential Points.
Rodent models have been essential in the development of all current therapies for osteoporosis
The cortical structure of small mammals differs from that of large mammals, including humans, because they have smaller cortical bone and they do not have the lifespan to develop osteonal structures
Development and genetic control of cortical and trabecular structures are conserved between small and large mammals
Intracortical remodeling occurs in rats and mice, even though they do not typically form osteons
Rats and mice, like humans, exhibit increased cortical porosity and reduced connection of the osteocyte network with aging
Background: Human Bone Diseases and Remaining Issues for Better Treatment
Determinants of bone strength, and therapies for osteoporosis, have largely been based on studies of trabecular bone, the internal network. This is reflected in the degenerated trabecular structure shown in textbook diagrams of osteoporosis. Indeed, the study of trabecular structure, and its control by multiple signaling pathways, has been a useful tool for understanding and treating osteoporosis and other skeletal conditions. Trabecular strength is largely determined by the quantity of trabecular bone present within a given area. The study of trabecular bone's response to potential therapies provides rapid answers because its high surface-to-volume ratio means that small changes in bone formation and resorption can quickly lead to measurable changes in bone volume. The focus on trabecular bone is also historic, since postmenopausal osteoporosis, the most common and most studied form of osteoporosis, was first described in trabecular bone (1). Rodent models, including the ovariectomized rat and mouse, were pivotal for developing current therapies for postmenopausal osteoporosis. Ovariectomized rats were used for the development and testing of bisphosphonates, hormone replacement therapies, and teriparatide in postmenopausal women (although ovariectomy does not mimic the extended period of hormonal variations that occur during the human perimenopause). With the emergence of genetically altered mice, biologics such as denosumab and romosozumab emerged from knockout mouse models showing high trabecular bone mass when RANKL (receptor activator of nuclear factor kappa-B ligand) or sclerostin were removed (2). The first part of this review will discuss the success of mouse models for studying trabecular structure.
A major question remaining is whether mouse models are useful for identifying therapeutic approaches to strengthen the outer envelope of the skeleton, the cortical bone. This must be addressed because the most detrimental osteoporotic fractures occur in weakened cortical bone (eg, at the hip or wrist). These fractures lead to the greatest increases in mortality (3) and morbidity (4) and are the most expensive to treat (5). However, possibly because the field was focused on studying trabecular bone mass, current treatments for osteoporosis, while being very good at preventing vertebral fractures, perform relatively poorly at preventing nonvertebral fractures (6). This is because the strength of vertebrae, which contain a high proportion of trabecular bone, is closely related to trabecular bone mass, while femoral neck and distal radial strength are determined largely by the strength of their dominant component: cortical bone (7).
We will address this question by exploring how the cellular mechanisms and signaling pathways determining bone width, cortical thickness, cortical porosity, corticaosteocyte network integrity, and cortical bone material quality, are conserved between mouse, rat, and human bone, including whether, and to what extent, they are conserved in embryonic and juvenile cortical bone development, degeneration with aging, and their genetic determinants.
Brief Examples of Rodent Preclinical Models in Development of Current Bone Therapies
Early studies relied on the ovariectomized rat to identify cellular mechanisms by which postmenopausal osteoporosis occurs, and to test therapies now in clinical use. This became well established as a preclinical model of both trabecular and cortical bone loss, including at the femoral neck, in the early 1990s (8-11,). At the time, questions were raised about whether rodent models could be relied on due to their small size, general lack of osteonal bone, short life span, and quadruped nature (12). It became clear, by using sufficiently aged rats and by measuring the correct region (the secondary spongiosa, see “Specialized Terms” box), that ovariectomized rats exhibited bone loss by similar mechanisms to postmenopausal women (12, 13). When used appropriately, the ovariectomized rat has been an excellent predictor of drug effects on bone mass and strength in postmenopausal women (14). Even before postmenopausal osteoporosis was described, in the 1930s, the young intact rat was the model used to first show anabolic (bone-building) properties of parathyroid hormone (PTH) (15), forming the basis of teriparatide therapy (16). Early treatments for osteoporosis, whether antiresorptive bisphosphonates (17-19) or anabolic PTH (20), were proven effective in the ovariectomized rat prior to their clinical use.
Later, genetically modified mice became model systems for discovering novel signaling pathways for osteoporosis treatment, including the osteoprotegerin (OPG)/RANKL system (21). OPG's osteoclast inhibitory action was initially discovered in cell culture studies (22). At the same time, while seeking agents to protect the gut during chemotherapy (21), a second laboratory made the unexpected finding of high bone mass (23) in mice overexpressing the same protein. The absolute requirement of RANKL for osteoclastogenesis, RANK as its receptor, and OPG as its inhibitor were confirmed through later knockout models (24, 25). These mice were pivotal to the development of anti-RANKL therapy (denosumab) (2), now routinely used to treat osteoporosis.
Mouse Models Recapitulate Human Rare Disease Mutations and Permit Functional Interpretation of Human Genetic Studies
Animal models are used to study the skeletal environment because skeletal development and maintenance are regulated by local and systemic factors and require the interaction between multiple cell types under the influence of mechanical strain and muscular movement. This complexity cannot be modeled in vitro or ex vivo.
Mouse models perform exceptionally well at mimicking human monogenic skeletal disorders. A 2019 review compared 260 genes associated with human skeletal dysplasias, and 96% of the mouse models with the same mutations faithfully reproduced the dysplasia (26). The earliest examples of this were spontaneous mutations, such as the gray-lethal osteopetrotic mouse described in 1935 (27), which led some 60 years later to defining OSTM1 (Osteoclastogenesis Associated Transmembrane Protein 1) loss-of-function autosomal recessive osteopetrosis (28). Germline and targeted knockouts followed, including the above example of RANKL and RANK deletion which led to osteopetrosis.
High-throughput skeletal phenotyping studies have become more common (29) and are now forming a resource for interrogating genetic variations identified in the clinic, for example, by generating a mouse to reproduce, understand, diagnose, and treat human monogenic conditions. Mouse models for osteogenesis imperfecta are good examples, including the collagen 1 α1 chain G610C mutation (Col1a1G610C) model, or the less common mutations in interferon induced transmembrane protein 5 (Ifitm5), osterix (Sp7), and Wingless-related integration site 1 (Wnt1) described below. These have been recently reviewed (30). Another example is the use of mouse models to characterize causative genes within candidate loci identified in genome-wide association studies (GWAS) of bone mineral density or fracture incidence (31). Such functional studies often use global knockout or mutant studies (with the same genetic alteration in all cells). Cre-targeting of gene modifications or deletions to specific cell populations or lineages (eg, osteoblast, osteoclast, or osteocyte) is another useful tool; although these do not mimic human conditions, they provide functional information when global deletion leads to early lethality (eg, global parathyroid hormone receptor deletion (32)) or to a confounding systemic defect (eg, global deletion of estrogen receptor leading to high circulating levels of testosterone (33)).
Key Considerations When Comparing Rodent and Human Bone
Modeling vs Remodeling During Growth and Aging in Cortical and Trabecular Bone
Bone structure in all vertebrate species with mineralized skeletons is determined by 2 processes: modeling and remodeling. The difference between these processes is the spatial relationship between bone-resorbing osteoclasts and bone-forming osteoblasts. In modeling, osteoblasts and osteoclasts act on different bone surfaces, while in remodeling, the same cells act in sequence on the same bone surface. We describe each in turn.
In modeling, bone formation and resorption are separated by location, and are independent (ie, formation occurs without prior bone resorption, or resorption occurs without subsequent bone formation). Modeling changes skeletal morphology (shape and size). For example, during growth, formation of bone on periosteal (outer) surfaces widens the lengthening bone while bone is concurrently resorbed at a different location (the endocortical surface) to enlarge the marrow cavity. Modeling occurs during the construction and growth of bone, from when skeletogenesis commences in the embryo until longitudinal growth is complete (end of the second decade for human bone) (34). Modeling is also responsible for adaptive changes in bone shape and size in response to increased or reduced mechanical load (35) and with aging (36, 37). Modeling can occur on trabecular surfaces, such as during anabolic PTH action, where some increase in bone mass results from modeling-based bone formation on surfaces without prior resorption (16, 38).
Remodeling is a process of bone replacement by which the skeleton undergoes continuous repair. Remodeling cycles are asynchronous throughout the skeleton at many anatomically distinct sites containing a sequence of cellular players, termed basic multicellular units (BMUs) (39, 40). Each BMU follows the same sequence: bone resorption followed by formation. In BMUs, tiny packets of bone are removed by osteoclasts and subsequently replaced at the same location by new collagenous matrix (osteoid) produced by osteoblasts; that matrix is then mineralized to form new bone. Remodeling also contributes to the maturation of trabecular structures from woven to lamellar bone (see below).
BMUs were first identified based on histology of normal adult human trabecular (39) and human and beagle dog cortical (40) bone, and BMUs are arranged in 2 architectures (Fig. 1). In endosteal bone (including both trabecular and endocortical surfaces), BMUs are located on the marrow-facing bone surface (Fig. 1C) and remodel “pancake-like” packets of bone (41). In osteonal cortical bone (see “Haversian vs Non-Haversian Bone: A Function of Life History”) the BMU comprises cutting cones (Fig. 1B) led by osteoclasts proceeding through bone, digging a microscopic “tunnel”; the osteoclasts are followed by osteoblast precursors which differentiate and refill this tunnel (41). The first BMU microscopic anatomical “products” to appear in cortical bone are termed primary osteons; osteons formed by later remodeling cycles are termed secondary osteons. This, and nonosteonal cortical bone remodeling, will be discussed in detail below.
For the sequential process of remodeling to occur, osteoclast activity is “coupled” to bone formation by osteoblasts. This means that, in addition to resorbing bone, osteoclasts also produce signals to recruit osteoblast precursors to the resorbed surfaces and to stimulate their differentiation. Such signals have been termed coupling factors, and many have been proposed, acting at different stages of osteoblast differentiation. These proposed factors are reviewed extensively elsewhere (42, 43). When there is an imbalance between resorption and formation, this does not mean the processes are “uncoupled”; the sequence is maintained but the processes are unmatched or out of balance. Regardless of BMU orientation, imbalanced bone remodeling gradually changes bone mass. If bone formation is less than resorption in a majority of BMUs, bone is lost, and if formation exceeds bone resorption, bone mass increases. Systemic biochemical markers of bone formation and resorption do not provide information on whether bone formation or resorption are coupled or balanced at the BMU; these reflect the activities of all bone surfaces in the body, including both remodeling and modeling surfaces.
A Common Misconception: Isn’t Rodent Bone Continually Growing?
A common criticism against rat and mouse models for bone research is the suggestion that their bones are continually growing. This misconception has arisen because growth plates remain present in rat and mouse bone until at least 12 months of age (44). However, although present, growth plates are largely inactive from 6 months of age onward in both rats and mice (45). This inactivity is seen in histology by the formation of discrete mineralized bony bridges interrupting the cartilaginous growth plate. These expand across the growth plate until it is “sealed” at the metaphysis as a horizontal band of mineralized bone (44). This inactivity is also indicated by growth cessation; in both male and female C57BL/6J mice (the most commonly used inbred strain) femoral length is stable from 6 to 24 months of age (46). This indicates that longitudinal growth has ceased even though the growth plate remains visible at this site. Variation between strains has been reported (reviewed in (47)), and it is likely that anatomical sites would also differ in the timing of when growth ceases. Apart from the work in C57BL/6 femora, very few studies have measured specific skeletal elements with sufficient time points to define when growth has ceased.
The problem of so-called continual growth of rodent models is overstated. In any mouse strain where longitudinal growth continues slowly, regions close to the growth plate would contain new trabecular and cortical bone with a higher proportion of mineralized cartilage and woven bone than mature bone, as outlined below (see “Conserved Development of Trabecular and Cortical Structures During Bone Growth”). Since this region is usually excluded when assessing adult trabecular or cortical bone (see guidelines), there would be no impact of any continuing longitudinal growth on the data obtained.
Haversian vs Non-Haversian Bone: A Function of Life History
A major structural difference commonly noted between mature rodent and human cortical bone is the lack of osteonal bone in rats and mice. Here we clarify terminology. Remodeling of thick cortical bone, such as human cortical bone, occurs through cutting cones (Fig. 1B), which resorb bone, and are refilled with concentric layers (lamellae) of bone material arranged in cylinders, with a cross-sectional appearance like rings within a tree trunk, around a central vessel (Fig. 1A). The longitudinal pores containing blood vessels are termed Haversian canals. The cylinders of lamellar bone surrounding the Haversian canals are termed osteons.
In evolutionary terms, variation in cortical bone microstructure across different species can be ascribed to variation in mammalian life histories (48). Osteon formation is an ancient ancestral trait; it first emerged in jawed fishes called Placodermi about 400 million years ago and has remained through the evolutionary tree in mammals, birds, and some reptiles (49, 50). Both mice and humans therefore have the capacity to remodel their bones, but this capacity is not expressed in the same way across small and larger mammals due to variation in mechanical, physiological, reproductive, and lifespan needs that diversified with evolution. Life history refers to whether an organism evolves “fast-” or “slow-” paced series of biological strategies to optimize energy investment into major lifespan milestones, such as growth, maturation, reproduction, and longevity (51). Slow or fast growth is reflected in mammalian bone vascularization and tissue arrangement and is strongly correlated with body size and longevity (52, 53). Mice, whether wild or laboratory-bred, are smaller and have shorter lifespans than humans, and are thus “fast growers” and their skeletons must form and complete growth quickly. Complex physiological processes seen in larger mammals, such as the formation of osteonal bone, would be costly for small mammals, which is why we see “life history” trade-offs, some of which involve bone metabolic processes (54). As a result, bone tissue in mice and rats is constrained spatially due to their small skeletal size, short life history, and smaller mechanical forces experienced than in larger mammals. This means they have no requirement for the complex remodeling processes developed in larger mammalian skeletons, including humans.
Haversian systems are not found in human bone at all ages but emerge during bone growth. Mouse, rat, and human bone exist in embryogenesis as a porous woven structure which is initially replaced by more resilient primary lamellar bone (see “Conserved Emergence of Human and Rodent Bone Structure in Embryogenesis”). This primary lamellar bone lacks osteons: it comprises mostly circumferential lamellae (ie, lamellae extending along the bone's circumference, see Fig. 1A). After primary lamellar bone has formed, in larger species, cortical bone undergoes Haversian (cutting cone) remodeling, initially forming primary osteons (Fig. 2C). These are gradually replaced, again by Haversian remodeling, with secondary osteons. Primary and secondary osteons have the same internal structure, but secondary osteons are distinguishable from primary osteons by the presence of cement lines. Haversian remodeling continues until the end of life. This gradual replacement means that the woven bone deposited during human development is rarely seen in the post-cranial bones of human infants past 2 years of age (55). This has been studied in the human humerus, where the first isolated secondary osteons were noted at 2 years of age, and most diaphyseal primary cortical bone had been replaced by secondary osteons after 14 years of age (56). The rate at which secondary osteons appear in the first 2 decades depends on health and lifestyle factors that stimulate remodeling (57). Factors such as poor nutrition can lead to low secondary osteon density, even in older individuals, persisting into the second half of their lifespan (58).
Mature human cortical bone comprises more than osteons and Haversian systems. It also contains primary lamellar bone (lacking Haversian systems) adjacent to the endocortical and periosteal surfaces. One such region in the adult human femur, termed the endosteal lamellar pocket, is likely a “remnant” of diaphyseal cortical drift during ontogenetic modeling (shape changes during growth), and is retained in individuals at least until the fifth decade of life (59). The endosteal lamellar pocket and periosteal lamellar bone lack Haversian systems and osteonal cylinders; they contain only Volkmann's canals, which are semi-perpendicular to the bone's length (Fig. 1A). Through these, the bloodstream is supplied from the periosteal layer to the bone marrow, and egress of marrow-derived hemopoietic cells to the bloodstream also occurs. Haversian systems are most likely required by bones sufficiently large, and with sufficiently thick cortical bone, to require additional vascularization for access of osteoclast precursors to bone distant from the Volkmann's canals. Haversian systems give further mechanical advantage in bones of large mammals, and, perhaps due to increased remodeling, cluster in bone regions experiencing higher strains (60, 61).
The mature cortex of smaller species, such as mouse and rat, contains predominantly circumferential lamellar bone. This exists on the bone's outer and inner cross-sectional thirds, with an (off-center) core of unremodeled endochondral bone and cartilage (see Fig. 1C) (62-64). This has sufficient mechanical competence for a small animal. It somewhat resembles a large osteon and has sometimes been described as a super osteon (65). As in human bone, nutrient supply to mature murine and rat cortical bone is provided through a dense vascular system within the bone material (66). What is different between small and large species is the system's architecture: in the mouse, most blood vessels extend through the cortical bone with, generally, a radial cone-like arrangement around the central marrow space, clearly observed in 3 dimensions (3D) by micro- and nano-computed tomography (CT) (67). Perfusion confirmed that these pores contain blood vessels (68). Recent work used the term transcortical vessels, which is growing in popularity (69), but since they are perpendicular to the bone length, the pre-existing term Volkmann's canal could be more appropriate.
Haversian canals and small osteons have been described in rodent bone. These are typically described in thickened cortical bone regions. Both Haversian canals, oriented parallel to the bone's length (70, 71), and concentric bone layers around those canals, like small osteons (72), have been reported. Their small size is consistent with the concept that osteon size increases in scale with animal size (73). Whether these are large enough to possess radially oriented osteocytes, as seen in larger mammalian osteons, is unknown. However whether radial osteocyte orientation is a defining feature of osteons is questionable since some osteonal bone lacks concentric osteocyte rings: some fish species lack osteocytes yet still exhibit secondary osteons (74). While rodents occasionally have these small osteons, it would be impossible for most adult murine cortical bone (∼140 microns thick (46)) to contain even a single osteon with the diameter observed in adult human bone (∼140 microns in diameter (75)).
In some circumstances, mice also demonstrate intracortical remodeling (bone formation and resorption in sequence within the cortex), although cutting cones have not been observed. In the 1950s, intracortical resorption was induced in lactating rats on a low-calcium diet, and these canals became filled mini-osteons during weaning (76). Intracortical remodeling, marked with calcein labeling, is observed in rats and mice in many conditions. This includes mice with thick cortical bone, such as the C3H strain (77, 78), sclerostin deletion (79), aging (80-82), ovariectomy (83), induced renal disease (84-86), and the range of genetic modifications discussed below and outlined in Table 1. This means that rodents have potential for intracortical remodeling, even though, in the most common strains with very thin cortical bone, this potential is only reached when there is direct experimental stimulation.
Table 1.
Experimental model | Age and sex of mice reported | Bone resorption | Bone formation | Vascularity | Woven bone | Cortical thickness | RANKL/OPG | PTH | Human equivalent |
---|---|---|---|---|---|---|---|---|---|
Genetic strain | |||||||||
C3H strain compared to C57BL/6 (78) | 26-week-old; female | ↑ | ↑BFR | — | ↑ | ↑ | ↔ | ↑ | |
Aging | |||||||||
Aging, C57BL/6 (80) | 18 and 26-month-old; female | ↑ | ↔ | — | — | ↓ | ↑RANKL ↓OPG |
— | ✓(87, 88) |
Aging, C57BL/6 (81) | 1 to 26 month-old; male | — | ↓ | — | — | ↓ | — | — | |
Aging, C57BL/6 (82) | 5- and 22-month-old; female | ↔ | — | — | — | ↓ | — | — | |
Ovariectomy | |||||||||
Ovariectomy, C3H (83) | 32-week-old female | ↑ | ↓ | — | — | — | — | — | |
Gorham-Stout disease | |||||||||
Postnatal overexpression of VEGF-C in osteoblast lineage for 35 days (89). | 35-day-old; sex not reported | ↑ | — | ↑ lymphatics | — | ↓ | — | — | ✓ (90) |
Chronic kidney disease models | |||||||||
0.2% dietary adenine for 10 weeks (84). | 25-week-old; male and female | ↑ | ↑BFR | — | — | ↓ | — | ↑ | ✓ (91) |
Partial renal ablation with high dietary phosphate for 12 weeks (85). | 30-week-old; female | — | — | — | — | ↓ | — | ↑ | |
0.2% dietary adenine for 6 weeks (86). | 78-week-old; male | — | — | — | — | ↓ | — | ↑ | |
Modified Wnt signaling | |||||||||
Global WNT16 knockout (92). | 5 and 11-week-old; female | ↑ | — | — | — | ↓ | ↓OPG | — | |
WNT16 knockout in osteoblasts and osteocytes (92). | 5-week-old; female | — | — | — | — | ↓ | ↓OPG | — | |
Sclerostin knockout mice (79). | 10-16-week-old male, 12-week-old female | — | ↑ BFR | — | — | ↑ | — | — | |
Cathepsin K activity modulation | |||||||||
Global Cathepsin K knockout (93). | 10-week-old; male and female | ↓ | ↔ BFR endocortical | — | ↑ | ↑ | — | — | |
Cathepsin K overexpression in osteoclasts (94, 95). | 1 and 3-month-old; female | ↑ Cathepsin K & TRAP | ↔ BFR | — | — | ↑ | — | — | |
VEGF modulation | |||||||||
VEGF overexpression for 2 weeks (96). | 3-4-month-old; male and female | ↑ | ↑only woven bone | ↑ | ↑ | — | ↑ RANKL | — | |
Glucocorticoid administration | |||||||||
Slow-release glucocorticoids for 28 days (97). | 8-month-old; male | ↑ | — | — | — | ↓ | ↓OPG | — | |
RANKL/OPG manipulation | |||||||||
Twice-daily RANKL injections for 10 days (98) | 11-week-old; female | ↑ | ↑Periosteal BFR | — | — | ↓ | ↑RANKL | — | |
RANKL overexpression (99) | 3 and 8-month-old; male and female | ↑ | — | — | ↑ | ↓ | ↑RANKL | — | |
Global OPG deletion (25) | 1-week and 2-month-old; female | ↑ | ↑ | ↑ | ↑ | — | ↓OPG | — | |
GATA-1 knockdown in OPG-deficiency (100). | 5-month-old; female | ↑ | — | — | ↑ | ↑ cross-sectional area | ↓OPG | — | |
Elevated local STAT3 signaling | |||||||||
SOCS3 ablation in osteocytes (101-103). | 12 and 16-week-old; male and female | ↑ | ↑ | ↑ | ↑ | ↔ | ↑RANKL(142) | — | |
SOCS3 ablation in osteocytes with IL-6 knockout (102). | 12-week-old; male and female | — | — | — | ↑ | — | — | — | |
SOCS3 ablation in osteocytes with global G-CSFR deletion (104). | 6, 12 and 26-week-old; male and female | ↑ | ↑ | ↑ | ↑ | ↑ | ↑RANKL | — | |
SOCS3 and leptin receptor ablation in osteocytes (105). | 6 and 12-week-old; male and female | ↔ | ↔ | — | — | ↔ | —. | — | |
PTH administration or receptor activation | |||||||||
Constitutively active PTH1R in osteoblast lineage (106) | 6-month-old; male | ↑ | ↔ | ↑ | — | ↑ | — | ↑PTH1R | ✓ (107) |
2 weeks continuous PTH infusion (108). | 10-week-old; male and female | ↑ | ↑ | — | — | — | ↑RANKL | ↑ | |
Intermittent PTH injections in sclerostin-null mice (79) | 10-16-week-old male, 12-week-old female | — | ↑ | — | — | — | — | ↑ | |
Knockout of PTH and PTHrP (109). | Newborn; sex not reported | ↓ | ↓ | ↓ | — | ↑ | — | ↓ | |
Knockout of PTHrP (109). | Newborn; sex not reported | ↓ | ↑ | ↑ | — | ↑ | — | ↑ | |
Diabetic models | |||||||||
Streptozotocin-induced hyperglycemia (110). | 10-11-week-old; male | — | ↔ | — | — | ↑ | — | ↑ | ✓ (111) |
10 weeks high fat diet induced type 2 diabetes mellitus (112). | 16-week-old; sex not reported | — | ↑ | — | — | ↔ | — | — | |
Streptozotocin-induced diabetes with β-catenin activation in osteoblasts (113). | 14-week-old; male | ↑ | ↓ | — | — | ↓ | ↑RANKL | — | |
Other models | |||||||||
Bone sialoprotein (BSP) knockout (114) | 2-month-old; male and female | — | — | — | — | ↓ | ↑RANKL | —— | |
Double knockout of BSP and osteopontin (114) | 2-month-old; male and female | — | ↔ | ↔ | — | ↔ | ↑RANKL | — | |
Fatigue loading for 15 days (115) | 3-month-old; male | — | — | — | ↑ | ↑ | — | — | |
Compound hemizygous mice for Gja1 (Connexin 43) and Runx2 (116, 117). | 8-week-old; male | ↑ | — | — | — | ↔ | ↑RANKL to OPG | — | |
Plastin-3 global knockout mice (118). | 6, 12 and 24-week-old; male | ↑ | ↔ (BFR) | — | — | ↓ | — | — | |
Midkine-deficient mice (119, 120). | 18-month-old; female | ↑ | — | — | — | ↔ | ↓RANKL, ↔OPG | — | |
Colony-stimulating factor-1 (CSF-1) overexpressed in osteoblasts (121). | 14-week-old; male | ↑ | ↑ | — | ↑ | ↑ | — | — | |
Bone morphogenetic protein 1 receptor knockout in osteoblasts (122) | 9-week-old; male | ↔ | ↔ | — | — | ↔ | ↔ | — | |
PPARγ deletion from early osteoblast progenitors (123) | 22-month-old; female | ↔ | ↔ (BFR) | — | — | ↔ | — | — | |
Mice with osteocyte-specific ablation (124) | 10-week-old; male | ↑ | ↔ (BFR) | — | — | — | ↑RANKL | — |
Shown are examples of mice with high cortical porosity, grouped thematically, with details about age and sex of mice, and other changes described in the cortical bone, in circulating parathyroid hormone (PTH) or PTH/PTHrP receptor expression (PTH1R). See text for further details.
Legend: ↔ No change, — Not reported.
Abbreviations: BFR, bone formation rate; OPG, osteoprotegerin; RANKL, receptor activator of nuclear factor kappa-B ligand; SOCS3, suppressor of cytokine signaling 3.
Conserved Emergence of Human and Rodent Bone Structure in Embryogenesis
We now turn to the extent to which bone development is conserved between species during embryogenesis, prior to osteon formation. The 2 processes that form the preliminary structures of cortical bone—intramembranous ossification and endochondral ossification—are highly conserved between species.
In all mammalian species, cortical structures in the flat bones, such as the skull, mandible, maxilla, and clavicles form by intramembranous ossification. In this process, stromal progenitors accumulate and differentiate directly into osteoblasts, then deposit collagen I–containing osteoid, which is mineralized to form bone. Flat bones grow by osteoblast differentiation at the periphery (periosteal surfaces and calvarial sutures). The processes controlling flat bone growth and calvarial suture closure are highly conserved between rodents and human primates, indicated by excellent concordance of murine skull phenotypes with human cranial dysplasias (26). Since these structures do not determine fracture susceptibility, their differences between mouse and human will not be discussed here.
Most bones form largely by endochondral ossification. This is illustrated from 2 perspectives in Fig. 2, with panel B highlighting the cross-sectional appearance at the diaphysis. Like intramembranous ossification, endochondral ossification is also initiated by stromal cell condensation, but an intermediate cartilaginous (chondrocyte) template is formed before bone formation commences. This cartilage template enlarges through chondrocyte proliferation and cartilage matrix production, which gradually transforms into a larger mineralized bone by 2 processes: bone collar formation and ossification center formation. Ossification centers form when chondrocytes become hypoxic, undergo hypertrophy (enlarge), and mineral accumulates in the surrounding cartilage matrix. This mineralized cartilage is invaded by blood vessels, which bring osteoclast and osteoblast precursors (125). Subsequent osteoclast formation leads to mineralized cartilage resorption, making space for blood vessels and expanding the marrow cavity; the first region of vascular invasion and marrow formation within each mineralized template is the primary ossification center. Differentiated osteoblasts form osteoid on the remnant cartilage templates, which mineralizes to form bone.
In embryonic murine (126) and human (127) long bones, the nascent diaphyseal and metaphyseal cortical structures are highly porous, vascularized, and barely distinguishable from trabecular bone, other than by their location at the bone's periphery. During these early developmental stages, collagen is deposited rapidly with an irregular orientation and is called woven bone. This porous precursor to the diaphyseal cortex, termed the bone collar or ring of Lacroix, is formed by osteoblasts with vascular invasion of the perichondrium, the cellular condensation surrounding the cartilage template (128). Cortical and trabecular structures begin to emerge during this earliest stage of bone development. The diaphyseal cortex widens through periosteal bone modeling, and both human (127) and murine (126) cortices display alternating struts and rings of woven bone, interspersed with blood vessels and marrow. After birth, the highly porous woven bone precursor to cortical bone is remodeled to form a dense, more mechanically competent, layered structure, which lacks the larger marrow-containing spaces observed in neonates but retains an infiltrating vascular structure in human (127, 129) and mouse (62, 130). This high vascular porosity persists in the human femoral cortex during the first 2 decades of life, reaching a minimum when peak bone mass is achieved (from age 20-30 years) (131).
The process of cortical development in the metaphysis differs from the diaphyseal bone collar. As the cartilaginous growth plates move apart from each other during longitudinal growth driven by hypertrophic enlargement of chondrocytes, remnants of mineralized cartilage are used as templates on which both cortical and trabecular bone form in the metaphysis (132). As the bones grow, through cycles of bone remodeling, the mineralized cartilage is gradually replaced with woven bone, which is then replaced by lamellar bone. In the embryo, particularly the murine embryo, the small amount of trabecular bone present in the primary spongiosa is largely mineralized cartilage and woven bone. In both the cortex and the trabecular bone, remnant mineralized cartilage and woven bone remain until remodeled into a more mature structure in both human and mouse (Fig. 3) (62, 133).
In smaller bones lacking growth plates, such as the tarsals and metatarsals, the process of cortical bone development still follows the endochondral ossification program, and is similar to cortical development in the epiphyses, since both lack the longitudinal growth and columnar organization of the growth plates. This process too, is conserved between mouse and human (134).
Conserved Development of Trabecular and Cortical Structures During Bone Growth
Development of Trabecular Structures in Human and Murine Bone
Trabecular bone arises from the growth plate, and in primary and secondary ossification centers, through targeted remodeling. The first remodeling sequence is when mineralized hypertrophic cartilage is resorbed by osteoclasts, provided by the vasculature, followed by osteoblasts acting on the resorbed surface to deposit woven bone. Next, the woven bone is resorbed and replaced with lamellar bone in a second cycle of remodeling (135). This is remodeling because it is BMU-based resorption followed by bone formation on the same bone surface. Although it is the same sequence of events as adult trabecular remodeling, it differs in 2 respects: (i) it replaces one type of substance with another; and (ii) the processes have a specific anatomical location relative to the growth plate. Since it occurs in defined anatomical regions, it is likely subject to different control mechanisms than remodeling in the adult trabecular network.
This region-specific control of osteoclast and osteoblast activities is extremely challenging to study in humans, given the lack of specimen availability. However, as a comparative example, in patients with Stüwe-Wiedemann syndrome, caused by loss-of-function mutations in the receptor for leukemia inhibitory factor (LIF) (136), growth plate defects have been observed. These are very closely mimicked in mice lacking the ligand (137), where the increased resorption was specific to the primary spongiosa, due to a region-specific increase in vascularization driven by elevated expression of vascular endothelial growth factor (VEGF) at the growth plate (137).
This targeted remodeling in the primary spongiosa must be kept in mind when studying rodent bone. Unlike human biopsies, studies of rodent bone usually use the entire tibia or femur, and the growth plate and primary spongiosa are present in the histological section. Since murine tibiae and femora have so little trabecular bone, many published studies measure histomorphometry at the primary spongiosa because this provides plentiful bone surface. However, this region reflects the site-specific remodeling that generates trabeculae, and differs from adult bone remodeling. This is illustrated in LIF-deficient mice (137), and in mice with collagen mutations resistant to collagenases (138) or aggrecanases (139) or with reduced ADAMTS4 (a disintegrin and metalloproteinase with thrombospondin motif 4) production due to EphrinB2 deficiency (140). All these defects led to transient osteopetrosis in the first few days after birth due to defective targeted remodeling of growth plate cartilage, but normal resorption on non-targeted remodeling bone surfaces in the secondary spongiosa of older mice (141).
Extrapolating data from the primary to the secondary spongiosa was identified as a problem in early studies of the ovariectomized rat (10, 11). The guidelines developed then also apply to genetically modified mice: if studying trabecular bone remodeling, measurements must be made in the secondary spongiosa, in regions where lamellar bone is remodeled, after longitudinal growth has slowed. If pharmacological treatments are being tested, the region must be sufficiently far from the growth plate to have already contained secondary spongiosa when treatment commenced. This is necessary to avoid confusing a growth-related or region-specific effect with an effect on adult bone remodeling. This is outlined further in the guidelines below.
Development of Cortical Bone at the Metaphysis Requires Sufficient Chondrocyte Maturation, Vascularization, and Bone Resorption
After the cortical structure is initially established at the diaphysis, cortical bone continues to form at the metaphyses during longitudinal growth through cortical consolidation: trabeculae at the periphery, which emerge from the growth plate, coalesce into a thickened cortical structure (142). As at the diaphysis, the bone is transformed from a porous, trabecular structure to a compressed cortical structure containing whorls of compressed trabecular bone, and then through remodeling, this structure is gradually converted into lamellar bone. We use the term porosity or cortical porosity here to refer to microscopic pores, usually containing blood vessels and sometimes marrow. There are other porosities in the cortex, including lacuno-canalicular porosity which describes smaller pores occupied by osteocytes and their dendritic processes and a subcanalicular nano-porosity network, very recently been described in human bone specimens (143) but not yet studied in mice.
The emergence of the cortex from the growth plate is morphologically similar in human and murine bone (101, 144). Histologically, close to the active growth plate, both exhibit sparse, disorganized cortex containing seemingly randomly oriented, poorly connected osteocytes, a high proportion of cartilage, many intracortical pores and cement lines, and extensive periosteal resorption (Fig. 3). Reflecting this process of maturation, both human and murine bone exhibit a gradient of mineral density along the metaphysis, with a gradual reduction in cortical porosity and increase in matrix mineralization with increasing distance from the growth plate (101, 145).
When endochondral ossification is delayed, so too is cortical development. For example, when parathyroid hormone related protein (PTHrP), a cytokine required for endochondral ossification, was deleted in a mouse model, the bones were shorter than normal. In addition, the cortical bone was immature and more porous than in the wild type (109), reflecting delayed bone consolidation within the developing embryonic cortex due to delayed primary ossification center formation.
The processes shaping the cortical and trabecular compartments depend on appropriate resorption and formation at specified locations. Osteopetrosis, an umbrella term for the high bone mass conditions caused by low bone resorption, illustrates the importance of osteoclasts in this process. In osteopetrosis, bone resorption is impaired, either due to deficient osteoclast formation or deficient osteoclast function. The high bone mass of osteopetrosis emerges during embryonic bone development, preceding formation of the trabecular and cortical compartments. Calcified cartilage resorption is impaired, and ossification center and subsequent marrow space formation is delayed. In human osteopetroses, the marrow space retains thin, unremodeled trabecular structures with abundant woven bone, but little lamellar bone, and unresorbed calcified cartilage remains within the trabecular bone even distant from the growth plate (146, 147). These features are also observed in murine osteopetroses (24, 148, 149). Since the entire femur and tibia can be studied in mice, cartilage remnants within trabecular bone are a useful and quantifiable marker of impaired growth plate resorption, even in mild forms of osteopetrosis (150, 151).
Individuals with osteopetrosis also exhibit delayed cortical bone development, with persistence of woven bone and cartilage remnants, and few Haversian systems (146). Few images have been published, due to the difficulty of obtaining cortical bone samples. In humans, biopsies are rarely available, and even examination by high-resolution peripheral quantitative CT (HR-pQCT) is challenging to interpret. A recent study reported thick cortical bone in a single patient, but the cortex was indistinguishable from the dense, non-remodeled trabecular structure (152). A delay in cortical bone development is readily observed in mouse models, where the whole bone can be examined histologically and compared to matched controls. For example, in the c-src null mouse, which lacks osteoclasts, the cortex is thin and remains highly porous, even in the diaphysis, indicating a lack of cortical consolidation (148). Even in mild resorption defects, (eg, the Cathepsin K null mouse), high cortical porosity is observed in early adulthood (153). Initially this seems counterintuitive: why does osteoclast inhibition cause increased porosity when osteoblasts would be responsible for filling the porous cortical structure? It suggests cortical consolidation is driven by remodeling: the osteoblasts responsible for closing cortical pores must depend on prior resorption by osteoclasts. This concept is supported by delayed bone collar formation and delayed cortical consolidation in mice lacking VEGF isoforms, with reduced osteoclast invasion due to defective vascular formation (154). In contrast to the intracortical environment, src null mice exhibit normal periosteal diameter (148) confirming that bone width during embryogenesis is determined by modeling and is independent of osteoclast function.
In addition to their high trabecular bone mass, osteopetrotic mice and humans also exhibit an Erlenmeyer flask morphology (sometimes termed Erlenmeyer flask deformity). This is readily observed by x-ray, and characterized by a wider than normal metaphysis which lacks a concave connection to the diaphysis; it is usually accompanied by cortical thinning (155-157). The lack of a concave shape in osteopetrosis shows the importance of periosteal osteoclast-mediated bone resorption in both human and murine bone. Mouse models lacking osteoclasts, like the RANKL or M-CSF (macrophage colony stimulating factor) knockouts, exhibit Erlenmeyer flask morphology on x-ray (24, 149). So too, do mouse models generated to mimic known human osteopetrotic mutations. One example is the human osteopetrosis caused by SNX10 (sorting nexin 10) deficiency, where osteoclasts are nonresorbing (158). Introducing the mutation into mice also resulted in osteopetrosis with a nonconcave metaphysis, revealing a new mechanism controlling osteoclast activity (157). Erlenmeyer flask deformity is not limited to osteopetrosis in human syndromes (156), and this morphology can be observed, with varying ranges of severity, in knockout and mutant mouse models (137, 159-162). These have the potential to reveal new insights about genes responsible for metaphyseal development, but they are rarely reported as there is no standard way of quantifying this phenotype in human or mouse. We recommend reporting metaphyseal bone widths in both anteroposterior and mediolateral directions at defined points from the growth plate to standardize this and lead to new discoveries.
Closure of Cortical Pores at the Metaphysis Requires Sufficiently Low Bone Resorption
A second situation in which the distinction between cortical and trabecular bone is disrupted is when levels of bone resorption remain high, and the porous cortex does not consolidate. This has been described in a range of mouse models (Table 1) but not in human bone. This may be because the latter would require histological examination of the metaphysis in adolescent individuals with rare genetic conditions, where diagnosis is usually limited to x-ray analysis.
One example of this in mice is when RANKL was overexpressed in bone cells normally expressing this cytokine, including osteoblasts, osteocytes, and hypertrophic chondrocytes (99). In this study, cortical porosity was elevated, and there was a greater proportion of woven bone within the cortex. In the context of elevated bone resorption, the presence of woven bone suggests an inappropriately high level of bone remodeling, with rapid bone deposition, akin to fracture healing. This indicates that a sufficiently low level of resorption is required for cortical consolidation to occur. Two studies of genetic OPG deficiency in mice throughout life also observed high cortical porosity with increased osteoclast number and activity, as well as a high proportion of woven bone (25, 100). This is also illustrated in human conditions with elevated RANKL activity, which show extensive osteolysis and the aberrant presence of woven bone (163). In this way, the replacement of woven bone with lamellar bone during cortical consolidation, in both the mouse and the human, requires a sufficiently low level of osteoclast activity.
Osteoclast progenitors are supplied to the cortex through the intracortical vascular network, which forms as the new cortex is developing during embryogenesis. This has been illustrated by studies of VEGF, a pro-angiogenic factor. VEGF overexpression in osteochondroprogenitor cells delayed cortical development during embryogenesis. There were more blood vessels within the porous cortex due to activated VEGF receptor-2 signaling in both osteoblast lineage and endothelial cells (96). These vascular pores were lined by osteoclasts, suggesting the high level of angiogenesis in the porous early-stage cortex enabled elevated migration of osteoclast precursors to the intracortical bone remodeling surfaces (164).
Even after the cortex has reached its adult shape, the consolidation of cortical material continues, with compressed trabecular bone and woven bone being replaced, by bone remodeling, with lamellar bone (Fig. 2). This process is similar to the development of trabecular structure: cycles of remodeling replace the cartilage remnants with woven bone, and then lamellar structures (165). In murine and human cortex, this includes cortical drift (see “Cortical Drift Shapes Rodent and Human Cortex in Response to Mechanical Loads”) (Fig. 2) (101, 142).
If levels of bone resorption are too high after the initial stages of bone development, excessive intracortical remodeling still delays its consolidation, due to continuing formation of woven bone. This was demonstrated in mice with increased STAT3 (signal transducer and activator of transcription 3) signaling in osteoblasts and osteocytes, generated by deleting the STAT3 inhibitor SOCS3 (suppressor of cytokine signaling 3) in Dmp1Cre-expressing cells (mature osteoblasts and osteocytes) (101, 102). In these mice, a high level of intracortical resorption continued into adulthood, thereby suppressing cortical consolidation; the mice retained a porous and highly woven whorl-like structure of compressed trabecular bone until early adulthood (101). Even when these mice were aged until the cortical structure was fully established, the mice with delayed corticalization had weaker bones (101, 102). This suggests that delayed cortical consolidation may reduce strength in the mature skeleton. Indeed, in human puberty, cortical consolidation is impaired during periods of very rapid longitudinal growth (166). Studies of mother/daughter pairs indicate that this may contribute to fracture risk later in life (167).
The phenotype of this SOCS3-deficient mouse, and a related mouse where deletion was targeted to chondrocytes and osteoblasts (168), indicated that STAT3 signaling in bone must be suppressed for cortical bone to transition from compressed woven bone to lamellar bone. These SOCS3-deficient mice also provided evidence of intracortical remodeling in adult mice, albeit nonosteonal. When granulocyte colony-stimulating factor receptor (G-CSFR) was genetically ablated in the SOCS3-deficient mice, the intracortical remodeling was exaggerated even further, with consolidated cortical bone still lacking in 6-month-old mice (104). Further analysis revealed an inverse relationship between osteocytic STAT3 phosphorylation and cortical consolidation: higher levels of STAT3 phosphorylation in osteocytes were associated with greater levels of RANKL, higher levels of osteoclast formation, and a greater delayed in cortical consolidation; this explained why the female mice of this strain had a more severe phenotype (104, 105). In addition to having higher levels of bone resorption in the cortex, the mouse models with highest levels of STAT3 phosphorylation also had greater intracortical vascularization and greater levels of VEGFA expression within the cortex (104).
These delayed cortical consolidation models indicate that murine bone, like human bone, undergoes intracortical remodeling during its development, since intracortical pores contained both osteoclasts and osteoblasts within a woven structure (101). These osteoclasts likely emerge from the transcortical channels/Volkmann canals and are under the influence of interleukin (IL)-6 family cytokines, a group of cytokines known to stimulate STAT3 and both osteoblast and osteoclast formation (reviewed in (169)).
Since clinical imaging methods lack the resolution to describe developmental defects in cortical consolidation in human bone, mouse models are needed to study the contributors to this process. It is not relevant that murine intracortical remodeling during consolidation is nonosteonal since these processes occur prior to the emergence of primary and secondary osteons and are therefore also nonosteonal in human bone. The transition from woven bone to whorls of compressed trabecular bone is conserved between species, and the signals controlling this can be studied in the mouse.
Cortical Drift Shapes Rodent and Human Cortex in Response to Mechanical Loads
Bone growth is asymmetrical in both longitudinal and transverse directions. Cortical drift is the process by which bones change their shape along the transverse axis during growth. This occurs in both human and murine bone as an adaptation to the mechanical loads and muscle forces associated with movement. This is most striking in the tibia, where bone formation on the medial periosteal and lateral endocortical surfaces changes symmetrical shapes during early embryonic development to (for example) the curved tibia seen in adulthood. It is also apparent in the femur, which becomes more elliptical during early postnatal life in human (170) and rodent (126).
The nature of this drift can be readily appreciated in thick transverse sections of both human and murine bone (59, 62, 63). Both exhibit a core of immature bone, including highly mineralized remnant calcified cartilage, within the most stable and oldest region of lamellar bone on the anterior and medial sides. It is also clearly indicated by the presence of primary lamellar bone on periosteal and endocortical surfaces in transverse sections in human bone (170). In experimental models, the drift can be observed through repeated administration of fluorochrome labels, where deposition on opposing cortical surfaces can be readily appreciated (171). In rat and mouse models, this pattern of growth and the region of measurement must be considered, and if required, controlled for when carrying out histomorphometry of either endocortical or periosteal surfaces.
Defects in Cortical Thickness and Bone Width Conserved Between Mouse and Human
We have recently reviewed murine models with abnormal bone width and cortical thickness, many of them with related human conditions (172). Here, we will give one key example, which has been extensively studied through multiple approaches, and direct the reader to our earlier review for further examples.
Secreted frizzled related protein 4 (sFRP4) was recently discovered as a Wnt signaling inhibitor determining normal cortical thickness. Pyles disease, a metaphyseal dysplasia, characterized by widened metaphyses, Erlenmeyer flask morphology and thin cortical bone is associated with loss-of-function mutations in the human SFRP4 gene (161). High trabecular bone mass, widened metaphyses and a wider, more porous femoral neck were also described in Sfrp4 null mice (160-162), confirming sFRP4's functional importance in bone metabolism. The mechanisms by which these bone defects arose were difficult to understand from clinical investigations since the patients exhibited normal serum markers of bone resorption (161). However, in the mouse model, a region-specific increase in osteoclast formation on the endocortical surface was measured and found responsible for the reduced cortical thickness (161). Again, as in the patients, this was not reflected in serum markers of bone resorption, which were normal. The cause of cortical thinning could not be discovered by studying the human pathology but was readily identified in the mouse model.
This provides an example of how mice, despite lacking osteonal bone, recapitulated a human condition with thin cortical bone, and helped understand the human pathology. Mouse models of human monogenic conditions with thick cortical bone also demonstrate thick cortical bone (eg, LRP5 high bone mass mutation (173), Van Buchem disease, or sclerosteosis (174)). Other examples are included in our earlier review (172) and show that cellular activities on the periosteal and endocortical surfaces determine cortical bone thickness and bone width, are conserved between species, and do not depend on the existence of osteonal remodeling or anatomy.
Collagen Deposition and Mineralization Control the Osteocyte Network in Trabecular and Cortical Bone Development, Osteogenesis Imperfecta, and Rickets
During bone formation, osteoblasts are incorporated into the newly deposited bone matrix and differentiate into osteocytes (175) which form an extensive interconnected cellular network through the bone structure (176). The nature of this network and the shape of the lacunae in which the cell bodies reside depends on the type of bone deposited. In woven bone, osteocytes have larger and more rounded cell bodies, with shorter dendrite-like processes, and lack any clear pattern of orientation (recently reviewed in (177)). In contrast, in lamellar bone, where collagen is deposited in layers, osteocyte cell bodies are ellipsoid, flattened along the lamellae, and their dendrite-like processes preferentially extend through the lamellae, being mostly oriented perpendicular to the surface on which bone was deposited (178, 179).
Osteocyte network structure differs with bone tissue age. During skeletal growth, this is driven by the replacement of woven bone with lamellar bone by targeted remodeling. It can be readily observed in murine cortical bone from mice of different ages, where the young femoral diaphysis (eg, 3 days to 8 weeks) contains a high proportion of woven bone (165). This is gradually replaced by lamellar bone, and older cortex (from 12 weeks of age) exhibits lamellar bone, with strongly oriented osteocyte lacunae and canaliculi (165).
This difference in osteocyte network architecture can also be observed along the length of individual bones in both human and murine histology. The initial woven bone structure in the trabecular primary spongiosa is replaced with newly deposited lamellar bone (Fig. 3). In human and murine cortex, woven bone is also gradually replaced with lamellar structures (101, 142). In both instances, cell body orientation, canalicular, and dendritic structures are determined largely by whether the collagen substrate into which the osteoblasts are embedded is woven or lamellar (180).
The osteocyte network has been more commonly investigated in murine bone than in human, due to the ease of obtaining specimens (Table 2), particularly in rare genetic conditions. The network structure is assessed by multiple methods—most, like the Ploton silver stain (198), Bodian stain (165), and Rhodamine G infiltration of bone samples (199), visualize the canalicular network, rather than the dendrite-like processes of the cells themselves. In contrast, studies using intracellular stains for actin (eg, phalloidin) (200) or genetically introduced green fluorescent protein (GFP) tags (201) visualize the cells themselves. The 2 types of methods should not be directly compared, because canals do not always reflect the extent of dendritic processes which are motile and extend and retract along the canaliculi (202).
Table 2.
Genetic disruption/treatment/process | Age and sex of mice | Cell bodies or lacunar changes | Canalicular changes | Dendritic changes | Collagen defect | Mineralization defect | Cortical phenotype | Other changes |
---|---|---|---|---|---|---|---|---|
Aging | ||||||||
Aging (181) | 36-month-old; male | ↓ osteocyte density | ↑ tortuosity | ↓ number of processes | ||||
Aging (182) | 3-, 6-, 12-, and 24-month-old mice; male | ↓ osteocyte density | ↓ total process length / cell | |||||
Aging (82) | 5-, 12-, 18-, and 22-month-old; male and female | ↓ cell volume and density; “islands” of disconnected osteocytes | ↓ canaliculi per lacuna; ↑ gaps in network | ↓ connectivity, ↓ processes | regional variation in mineral density | ↑ cortical porosity, ↓↓ cortical thickness | ↑ empty lacunae | |
Changed canalicular network | ||||||||
Ifitm5 gene mutation (71) | 4- and 8-week-old; female | ↑ cell density | ↓ canaliculi | ↑mineralization | ||||
Global dentin matrix protein 1 (DMP1) deletion (183, 184). | 2- to 5-month-old mice; sex not reported | ↑ lacunar size, random orientation | ↓ canaliculi | ↓ number of dendrites | unmineralized collagen fibrils | diffuse, patchy mineralization (184); ↑ osteoid | ↔apoptosis | |
Global and osteocyte-targeted Plex knockout (185). | 7-week-old; male and female | ↑ lacunar size, random orientation | ↓mineralization | lacuno-canalicular wall buckled and enlarged | ||||
Deletion of Yes-associated protein (YAP) and transcriptional co-activator with PDZ-motif (TAZ) in osteoblasts and osteocytes (186). | 4 and 12-week-old; male and female | ↓canalicular density and process length | ↓branch length, number of branches and number of junctions per cell | ↓collagen content and organization | ↓cortical thickness, | ↓metalloproteinase and cathepsin K levels in bone | ||
Transforming growth factor beta receptor I (TβRI) inhibition (187) | 11-week-old; male | ↓canalicular length | ↓metalloproteinase (Mmp2, 13, 14), cathepsin K and tartrate resistant acid phosphatase | |||||
Ablation of TGFβ type II receptor (TβRII) in osteocytes (181, 187) | 2-month-old; male | ↔ osteocyte density, ↔ lacunar volume, shape, orientation | ↓canalicular length and density, ↑ canalicular tortuosity | ↓number of dendrites | ↓mineralization | ↔ cortical thickness | ↓ metalloproteinase (Mmp2, 13, 14), cathepsin K and tartrate resistant acid phosphatase | |
Global matrix metalloproteinase 2 (MMP2) deletion (188) | 3-, 11-, and 55-week-old; sex not reported | ↓ connections between adjacent lacunae, ↓ processes | ↓ mineralization ↔ endosteal and periosteal mineral apposition rate |
↑ ratio of empty lacunae in calvariae only and not in long bones | ||||
Global membrane type-1 matrix metalloproteinase (MT1-MMP) deletion (189) | 20-day to 70-day-old; sex not reported | ↔ osteocyte viability, density, and number of osteocytes | ↓ number of processes, process length | ↓ collagen fibrils degradation | ↔ apoptosis | |||
Osteocyte maturation and survival | ||||||||
Inactivation of von Hippel-Lindau gene (Vhl) in mature osteoblasts and osteocytes (190). | 6-week and 8-month-old mice | ↓ diameter and volume; cell bodies thinner and longer | ↓ canalicular number and density; random arrangement | ↓ collagen organization | ↑ empty lacunae, cytoplasmic shrinkage, apoptosis | |||
Col1a1r/r mice with collagenase-resistant type I collagen (191). | 3-week-old; sex not reported | ↓ connections between adjacent lacunae; ↓processes | ↓ cleavage of collagen α1/α2 chains | ↑ empty lacunae (191) | ||||
Homozygous Ankrd11 deletion in neural crest cells (192). | neonates; sex not reported | ↑ osteocytes; plump cells, irregular distribution | ↑ collagen fibril cross-linking | |||||
Global macrophage colony-stimulating factor (CSF-1) knockout (149). | 3-week-old; sex not reported | Irregular shape, random distribution | poorly defined dendrites | ↓ collagen fibril length and number; woven bone | patchy hypomineralized bone | ↑ apoptosis; micropetrosis within lacunae | ||
Fam20c inactivation in bone, tendon, and skin (193). | 6-week-old; male and female | immature and poorly differentiated | ↓ processes | ↓ type II and type X collagen in growth plate | unmineralized periosteocytic regions, ↓mineral deposition rate | Cortical thinning | ||
EphrinB2 deletion in osteocytes (194) | 12 week old; female | ↑ lacunar density | ↔ processes | ↑mineralization | ||||
Osteocyte dendrite changes | ||||||||
Sp7 (Osterix) deletion in osteoblasts and osteocytes (195). | 8-week-old; male and female | ↔ lacunar density | ↓ dendrites and connectivity | ↑ woven bone | ↓ mineralization | ↑ cortical porosity | ↑ empty lacunae | |
Bone morphogenetic protein 1 (BMP1) and mammalian tolloid-like 1 (mTLL1) proteinase deletion (196). | 17-week-old; male and female | rounder, larger lacunae | ↓ number of dendrites | ↓ procollagen C-propeptide cleavage | heterogenous mineralization, seams of unmineralized osteoid; ↓tissue mineral density | ↓ bone volume, ↑ cortical porosity | ||
Global CXXC finger protein 5 deficiency (197). | 11-week-old; male | ↑ osteocyte numbers | ↑ dendrite length | ↑ woven bone | ↑ mineral apposition rate | ↑ cortical thickness | ||
Global deletion of Klotho (FGF23 co-receptor) (183). | 6-week-old; sex not reported | ↓ number of dendrites | ↑ apoptosis | |||||
DMP1 and Klotho deficient (183). | 6-week-old; sex not reported | ↑ osteocyte size, random organization | ↓ number of dendrites | ↓osteoid area | ↑ apoptosis | |||
Sirt3 deletion in osteocytes (182). | 3-month-old; male | ↓osteocyte density and number | ↓ length and number of dendrites per cell | ↔ cortical thickness |
Human osteogenesis imperfecta and related mouse models indicate that, in both species, collagen deposition controls how the osteocyte lacuno-canalicular network is established. Quantitative backscattered electron imaging of transiliac cortical bone biopsies from 19 children with hypermineralized bone due to osteogenesis imperfecta type I showed 50% greater osteocyte lacunar density than healthy controls (203). A similar observation was made in osteogenesis imperfecta type V (204), which also exhibits hypermineralization, but due to defects in the IFITM5 gene. A mouse model with an introduced Ifitm5 mutation has the same defect in mineralization, along with high osteocyte lacunar density and decreased canalicular density (71), showing conservation of this phenotype between the species.
Mutations in bone morphogenetic protein 1 (BMP1) have also been identified as a rare cause of recessive osteogenesis imperfecta (205). Although very few patients with BMP1-associated osteogenesis imperfecta have been identified, in a biopsy study of one patient, thick osteoid seams were present, with hypermineralization in the mineralized bone (206). This heterogeneity of poorly mineralized osteoid and highly mineralized bone was also seen in mice with BMP1 ablation (196) and this was associated with fewer and shorter osteocyte network processes. Fewer and shorter osteocyte processes have also been shown in bone biopsies from patients homozygous for another rare osteogenesis imperfecta-related mutation (SP7R316) (195). When Sp7 gene deletion was targeted to the osteoblast lineage in mice, impaired dendrite formation and inter-osteocyte connectivity was also observed (195). In contrast to the IFITM5- and BMP1-deficient mice, the SP7-deficient mice exhibited less mineralization, more woven bone content, and greater cortical porosity than normal (195). This suggests that the defective osteocyte network in SP7 deficiency, whether in murine or human bone, may relate to the greater presence of woven bone, and possibly the retention of an immature cortical bone phenotype. This is like the delayed cortical development in osteocyte-targeted SOCS3-deficient mice described above, which also exhibited low mineralization, more woven bone formation, and an immature, less connected osteocyte network (101, 102).
Mineralization is integral to dendritic process extension as osteocytes mature and become more polarized toward the mineralization front (201). Most studies reporting low osteocyte process number and/or length also observe low mineralization levels (183, 195) or heterogenous mineral surrounding osteocytes (196) (see Table 2). The osteocyte network is also less extensive in mice with delayed mineralization (rickets) (25, 181, 185, 188), disorganized collagen, reduced collagen content (186), or lack of collagen fibril degradation (189). For example, mice with global deletion of the pro-mineralization enzyme dentin matrix protein 1 (DMP1) (183, 184) exhibit incomplete mineralization with thick osteoid seams; the reported reduction in canaliculi likely reflects osteocytes in this unmineralized bone being stopped at the osteoid-osteocyte stage. The Phex (phosphate regulating endopeptidase X-linked) knockout mouse model of hypophosphatemic rickets has a similar phenotype (185). While likely to also exist in children with hypophosphatemic rickets due to PHEX mutations (207), this has not been reported, probably due to limited access to samples; here mouse models provide useful insights.
Collagen cleavage may also promote osteocyte viability and network formation in lamellar bone. The osteocyte network is less connected, with more empty lacunae and more apoptotic cells, in mice lacking lamellar collagen organization (190) or with impaired collagen α1 and α2 cleavage (191). Osteocytes are also poorly differentiated and retain an immature morphology, with random orientation and shorter dendritic processes, when there is more cross-linking of collagen fibrils (192), when the bone matrix lacks lamellar structure due to shortened collagen fibril length (149), or when type II and X collagen in the growth plate are lacking (193). Whether such collagen defects in human subjects also influence the osteocyte network is unknown.
Causes of High Cortical Porosity in the Human and Murine Skeleton
There are clinical conditions, aside from age-related and postmenopausal osteoporosis, in which cortical porosity has been reported to increase in humans, and for which there are murine models. These include chronic kidney disease (CKD), primary hyperparathyroidism, some forms of type 2 diabetes, and Gorham-Stout disease. These are complex clinical conditions, with the increase in cortical porosity being but a part of their pathology. We refer the reader to a range of excellent reviews discussing their pathogeneses in detail, including changes to the trabecular network (90, 208-210). Here, we explore whether rodent models of these conditions exhibit changes that reflect the human cortical changes. We note that, where increased porosity has been reported in the rodent models, this is often associated with greater RANKL-induced osteoclast formation within the mature cortex; in some cases, this is due to elevated serum PTH levels (Table 1).
Gorham-Stout disease (GSD, also known as vanishing bone syndrome) is characterized by loss of bone (typically the clavicle, mandible, maxilla, ribs, pelvis) and its replacement by fibrous tissue. This phenomenon is accompanied by inappropriate localized emergence within bone tissue of lymphatic vessels (90) which are usually restricted, in bone, to the periosteum. Two mouse models of GSD have been developed. In one, lymphatic vessel formation was increased by overexpressing the pro-lymphatic VEGF family member (VEGF-C) in the osteoblast lineage in the adult skeleton. This led to “moth-eaten” bones due to increased osteoclast-mediated resorption within the cortex, with increased cortical porosity, analogous to GSD (89). More recently, a mouse model with an activating KRAS (Kirsten rat sarcoma viral oncogene homolog) mutation, designed to replicate a mutation identified in a patient with GSD, also exhibited lymphatic vessel development within the bone marrow space, but whether bone loss occurred is not known (211).
Chronic kidney disease (CKD) also exhibits high cortical porosity, as part of a spectrum of skeletal complications (212, 213) likely due to secondary hyperparathyroidism in response to CKD-induced hypocalcemia and hyperphosphatemia (214). Mouse models of CKD, whether induced by 0.2% dietary adenine treatment (84, 86) or the combination of partial renal ablation with high dietary phosphate (85), also exhibit high cortical porosity. In all studies which induced CKD-like symptoms in mice (Table 1), serum PTH levels were significantly higher than baseline. This secondary hyperparathyroidism, while in some cases very mild, might be responsible for inducing abnormal levels of osteoclast formation within intracortical pores resulting in high cortical porosity (84). Both human and mouse models of CKD exhibited a significant rise in serum PTH levels, suggesting a common mechanism inducing increased cortical porosity, even in the absence of osteonal bone.
In primary hyperparathyroidism (PHPT), parathyroid lesions result in continuous PTH secretion (215). Clinical manifestations include a marked elevation of serum calcium, bone pain, and pathological fractures from increased bone resorption (216). A study using HR-pQCT to compare bone microarchitecture of 43 patients with untreated PHPT with healthy age-matched controls discovered greater cortical porosity in PHPT patients (107). In mice, continuous PTH infusion (108) or constitutive activation of PTH receptor (PTH1R) in osteoblast lineage cells (106) also increased cortical porosity, with both characterized by increased osteoclast number and activity. Histological characterization of intracortical pores in mice with osteoblast lineage PTH1R constitutive activation found that these pores contained blood vessels lined with osteoclasts (106). This suggests increased cortical porosity in both murine and human hyperparathyroidism occurs due to increased osteoclast-mediated bone resorption and increased intracortical vasculature; the studies in VEGF-overexpressing mice (above) suggest that the increased vasculature may drive this phenotype.
Elevated PTH has also been suggested as a cause of high cortical porosity in mice with streptozotocin-induced hyperglycemia (110), a phenotype also observed in mice on a high-fat diet (112). In a study of femoral bone from 16 donors diagnosed with type 2 diabetes mellitus (T2DM) and 11 age-matched healthy individuals, half of the T2DM patients exhibited high cortical porosity. By Fourier-transform infrared spectroscopy, the T2DM subgroup with high cortical porosity displayed higher regional mineralization heterogeneity and lower mineral maturity. In contrast, a higher regional mineral-to-matrix ratio was observed in the T2DM subgroup (111). This suggests cortical porosity and bone fragility are not clinical manifestations of all T2DM patients; more investigation is required to understand why cortical porosity increases in some patients with T2DM disease progression, and why they exhibit a change in bone mineralization. Appropriate mouse models could help resolve this.
Regardless of cause, continuously high levels of PTH have a catabolic effect on both cortical and trabecular compartments. This mechanism has been investigated in rats by PTH infusion, which caused a sustained increase in RANKL mRNA and a sustained reduction in OPG mRNA in bone (217). RANKL acts as both as a ligand for RANK and as a signaling receptor that transmits negative and positive feedback signals into RANKL-expressing cells (218). Increased binding of RANKL to RANK on the surface of hematopoietic osteoclast precursors promotes osteoclast maturation and survival (219). OPG is a soluble decoy receptor, which limits osteoclastogenesis by preventing RANKL access to RANK (23). Later cell culture studies showed this was mediated within the osteoblast lineage (220), which expresses the receptor (PTH1R) used by both PTH and its related protein (PTHrP) (221). If OPG levels are reduced, this can also lead to greater cortical porosity, as noted in mice lacking Wnt16, either due to global deletion or with deletion targeted to the osteoblast lineage (92).
Besides the membrane-bound form of RANKL expressed on osteoblasts and stromal cells, RANKL can also be supplied pharmacologically as a soluble receptor to stimulate bone resorption (222). This approach also increases cortical porosity as shown by twice-daily recombinant RANKL injections for 10 days in mice (98). Since RANKL was administered after the cortex was consolidated in this study, this suggests intracortical remodeling can be activated in mice, just as it is in humans experiencing either PHPT or secondary hyperparathyroidism due to CKD.
When intracortical resorption is high, as in VEGF-overexpressing mice (96), osteoclast precursors are supplied by the vasculature, leading to more intracortical resorption. Indeed, an unresolved question remains as to whether high cortical porosity originates in increased osteoclastogenesis or in increased vascularization and subsequent provision of osteoclast progenitors. This could be a mechanism common to multiple mouse models with high cortical porosity, including osteoblast/osteocyte-targeted SOCS3-deficient mice, where vascularization and VEGF mRNA levels are high, and even higher in the very porous SOCS3-deficient mouse with G-CSFR deficiency (104). Similarly, in mice with high cortical porosity due to PTH1R constitutive activation in the osteoblast lineage, cortical vascularization was increased (106), and PTH1R signaling stimulation induces vasodilation via VEGF (223). The high cortical porosity of mice with global OPG deletion was also characterized by a greater number of cortical blood vessels (25). Resolving this question could provide new insights into the development of age-related cortical porosity.
In many mouse models with high cortical thickness and high porosity (eg, the C3H mouse strain (78) and the sclerostin knockout mouse (79)), rather than the formation of small lamellar osteons, what is frequently reported is a greater amount of woven bone in the cortex (eg, in the diaphysis). This occurs from woven bone deposition, indicated by fluorescent calcein labeling (78, 93, 100, 104, 115, 121) (see Table 1) rather than by consolidation of a thin cortex. In these models, cortical pores form from resorption of mineralized lamellar bone, and compensatory woven bone deposition provides strength to replace the lost cortical bone. This is characteristic of rapid, coupled bone remodeling, akin to fracture healing, where woven bone formation rates are increased to match the high level of bone resorption, perhaps to compensate for the cortical bone lost during cortical pore enlargement.
Aging of Trabecular and Cortical Bone in Rodent and Human Bone
Loss of Human and Murine Trabecular Structure With Aging
With aging, in both men and women, trabecular bone mass declines (36, 224), with greater loss in women than men (225). At a microstructural level, this occurs primarily by loss of trabecular elements, thereby increasing spacing and reducing trabecular interconnectedness (36, 224). Men also exhibit a reduction in trabecular thickness with age (226). Histomorphometric analysis of trabecular bone, again at the iliac crest, showed age-related trabecular bone loss due to a decline in bone formation (225, 227). Recent studies using HR-pQCT at the distal radius suggest the sex-specific microstructural observations may be generalizable to other skeletal sites (228), although neither site is load-bearing. In both male and female C57BL/6 mice, at the distal femur and lumbar vertebrae, trabecular bone loss declines steadily from its peak at 2 months of age until at least 20 months of age; at the distal femur in females, it plateaus at 12 months of age, where trabecular bone has reached near zero (46, 81, 229).
Cortical Thinning and Increased Cortical Porosity With Aging in Mice and Humans
With aging in humans, cortical bone in both the femoral diaphysis and femoral neck becomes thinner and more porous, with the increased porosity contributing to the thinning (230-232). In rodents, an age-related increase in porosity was first documented in rats in the 1980s, when the appearance of large cortical pores and scalloped endocortical edges, consistent with increased resorption, were noted in femoral diaphyses of 24-month-old male Wistar rats (233). Mice also demonstrate cortical thinning and increased intracortical porosity with aging. To our knowledge, this was first described in the early 2000s in 26-month-old male C57BL/6 mice (81, 229) when both bone formation and resorption were noted within cortical pores (80). Later studies quantified this; by approximately 20 months of age, the increase in cortical porosity is more prominent in female than male mice (82), occurring in the midshaft, metaphysis (82) and femoral neck (160). When the response of cortical bone to aging is studied in mouse and rat models, the animals must be aged to 2 years. This presents a cost challenge, both due to the time required to age the mice, and the need to age a larger cohort, since this is close to the median lifespan of laboratory mice (29 months of age) (234). Mouse models of early aging (eg, SAMP6 mice), may provide a cost-effective model, but whether they reflect normal skeletal aging has been questioned since they do not achieve normal bone mass prior to bone loss (47).
Does the increase in cortical porosity in the aging mouse occur by the same mechanism as in aging human bone? In human bone, microradiography and micro-CT (87, 235) show that cortical pores expand by an increase in pore size, rather than in number (236-238). This suggests intracortical resorption within pre-existing Haversian canals and/or a reduction in intracortical bone formation are the main contributors to increased cortical porosity. In older women, greater cortical porosity is associated with an increase in Haversian canal diameter due to a decrease in bone formation, indicated by lower osteonal wall thickness with no change in osteonal diameter (75). In biopsies from older men, their greater cortical porosity was instead associated with larger osteon diameters, indicating more resorption, with no change in wall thickness (bone formation). This sex-specific difference was not observed in the femoral shaft, which exhibited increased osteon diameter, implying increased bone resorption in both sexes (230). This could reflect a difference in remodeling patterns across the skeleton, perhaps reflecting that the femoral shaft is subjected to greater mechanical load than the iliac crest. In addition, the increase in porosity is not uniform around the femoral diaphysis: more loss occurs in the posterior and anterior regions than on the medial and lateral sides, indicating that mechanical forces may be protective (88, 230). A histomorphometric classification system for intracortical pores in the iliac crest and the fibula (both non-loaded sites), showed increased cortical porosity is largely due to increased remodeling upon existing canals rather than formation of new canals, along with delayed or absent initiation of bone formation (239, 240).
Whether murine cortical porosity results from an increase in pore size rather than number is challenging to resolve since intracortical pores in young mice are typically below the resolution capability of micro-CT, the standard method for screening murine models for skeletal phenotypes. Whether the murine increase in porosity occurs by expansion of endocortical resorption to form new transcortical channels, or by expanding the existing transcortical channels (or both) is also unknown.
The Osteocyte Network Degenerates With Aging in Mouse and Human
With aging in both human and murine bone, there are reductions in osteocyte number, cell body size, and in the osteocyte dendritic network connectedness.
In human femoral head specimens, the number of viable osteocytes declined significantly with age, with the proportion of viable cells and lacunar density decreasing between younger and older adults (241, 242). When specimens from femoral midshaft, radius, and rib from donors aged 49 to 100 years were assessed, osteocyte lacunar density declined with age only in the femur (243). Osteocyte lacunar density also appeared to decline more significantly with age on the endosteal compared to the periosteal region in both male and female donors (244). There are also contrasting reports finding no association between aging and osteocyte density. For example, there was no effect of age on lacunar density in a high-resolution (synchrotron radiation micro-CT) study of anterior femoral midshafts from female donors aged 20 to 86 years, but osteocyte lacunae in the younger women were flatter, and with a 30% larger volume, than those of the older women (245). This suggests changes in the osteocyte network with age, when they occur, may be site-specific.
The reduction in osteocyte connectivity with aging in human bone does not relate only to a reduction in osteocyte number; the dendritic process number per cell also declined by up to 50% in aged bone compared to younger samples (82). While methods (classic histomorphometry to high-resolution synchrotron scans), and the bones and regions measured vary between these studies, a clear reduction in osteocyte dendritic processes characterizes aging in human bone.
In murine bone, 3 independent studies have reported a less extensive and less connected osteocyte network with aging (82, 181, 182). Aged murine bone had fewer osteocytes and lower osteocyte density per unit of bone (181, 182). The osteocytes present had smaller cell bodies, with a compensatory increase in fluid space within the lacunae (82). As in human bone, osteocyte cell bodies in aged (24-month-old) mice were more rounded than the elliptical osteocytes of 12-month-old mice (182). The network was also less complex, with fewer and shorter osteocytic processes (181, 182) and canaliculi (82). Although fewer, the canaliculi had increased tortuosity with aging, suggesting compromised fluid flow within the network (181).
Osteocyte network degeneration with aging is uneven; some osteocytes in aged mice were found in “islands” with few or no connections to the surrounding osteocytes while other regions retained connectedness, suggesting some regions are more susceptible to degeneration. This reduction in connectivity in both human and murine bone is likely to change cell-to-cell signaling and fluid flow, leading to a changed sensitivity within the network. How the network degrades remains unresolved: does the bone deposited by older individuals incorporate less osteocytes with a more rounded morphology? Is this a response to altered collagen deposition? Is the pre-existing osteocyte network filled by gradual mineralization with aging? Do osteocytes actively maintain their network through their continuing dendritic movement and/or release of bone-degrading enzymes? Does this maintenance process decline with age, allowing the canals to fill with bone material? Whether there are detectable canalicular network remnants in aged bone is unknown.
Conserved Matrix Maturation of Murine and Human Lamellar Bone
Bone strength is dictated both by the amount of bone present and by its matrix composition, particularly the balance between the 2 major components: collagenous matrix and mineral (bioapatite) crystals. In all species that form bone, during bone formation, osteoid is deposited by osteoblasts, and becomes gradually mineralized over time under the control of a range of noncollagenous proteins produced by osteoblasts and osteocytes (246). The initial (primary) phase of mineralization is rapid: mineral accumulates to reach approximately 70% of maximal levels within a few days (247). Primary mineralization is followed by a slower, secondary phase of mineralization that continues until a maximal mineralization level is reached, or until the bone is removed by resorption, typically during subsequent remodeling.
This progressive mineralization is reflected in an increase in mineral-to-matrix ratio with increasing bone maturity in osteonal bone of humans (248), baboons (249), and intact (247) and ovariectomized (250) rabbits. Although rat and mouse bone rarely exhibit lamellar osteons, they also exhibit progressive mineralization. For example, an increase in mineral-to-matrix ratio is observed in primary lamellar bone in regions undergoing modeling-based bone formation (ie, with no recent prior resorption) in the rabbit (endocortical bone) (250), or mouse (periosteal bone) (194, 251, 252). The same may be true in growing human primary lamellar bone but has not been reported to date. The consistent increase in mineral-to-matrix ratio across the osteon and into murine cortical bone is consistent with murine cortex being described as a super osteon (see above, “Haversian vs Non-Haversian Bone: A Function of Life History”).
Bone undergoes multiple maturation processes after osteoid deposition. As mineral-to-matrix ratio increases, there is also an increase in carbonate content, an increase in crystallinity, and compression of the collagen triple helix. Similar changes with distance from the center of the osteon have been observed in multiple species with osteonal bone (including rabbit and baboon) and in maturing primary lamellar bone of both mouse and rabbit (250, 251, 253). Collagen compression has not yet been studied in human bone.
Osteonal bone comprises osteons formed at different timepoints over the course of an individual's life due to remodeling (239, 240). Therefore, any region of osteonal bone contains tissue at different stages of mineralization, with variations in composition dependent on tissue age. Even with this variation, mineral-to-matrix ratio in both cortical and trabecular bone is greater in older humans (254, 255) and baboons (249, 253) than in their younger counterparts. In contrast, bone specimens from postmenopausal women exhibit a lower mineral-to-matrix ratio than premenopausal women (256-258). This may reflect the increase in bone remodeling rate during the menopause, since the greater volume of newly deposited bone would have less time to reach a fully mineralized state before it is resorbed and replaced with a new BMU (259). Mice may be used to resolve these questions, given the consistency in mineral accumulation in murine cortical and osteonal bone, and the ability to provide multiple calcein labels to mice.
As the collagen matrix matures, cross-links form between collagen triple helices. Two types of cross-links exist: enzymatic and nonenzymatic (2). Enzymatic cross-links (ECLs), formed by lysyl hydroxylase and lysyl oxidase, mature into irreducible amino acid–specific cross-links between collagen fibrils (3). These provide additional strength to the bone matrix: human trabecular samples with greater ECL content exhibit greater toughness (4). The ratio between the resulting cross-links can be mapped in situ by Fourier-transform infrared spectroscopy. Although not yet reported in human osteonal bone, this ratio has been reported to increase with matrix maturity in baboon osteonal (5) and mouse cortical bone (6). Consistent with this increase during matrix maturation, ECL content also increases during the first decades of life: human femoral diaphyseal specimens exhibited increasing ECL content until approximately 20 years of age, when it stabilized for the rest of life (7). Whether this also occurs in rodent models is not known, as reports are limited to aged animals, (eg, 24-month-old Fischer F344 rats and 20-month-old BALB/c mice (8, 9)).
Another readily studied family of collagen fibril cross-links are the advanced glycation end-products (AGEs). These form by nonenzymatic glycation of proteins. In contrast to ECLs, these nonenzymatic cross-links form at any point along the collagen fibril and continue to accumulate in bone until old age in humans, rats, and mice (2, 8-10). Higher AGE levels are associated with reduced bone toughness, and this has been reported in human, rat, and mouse cortical bone (8, 9, 11, 12). Consistent with this, bone from women with postmenopausal osteoporosis has been shown to exhibit higher levels of AGEs than that of healthy bone (13, 14), and similar observations have been made in rats with bone loss (15) and a mouse model with type 1 diabetes and bone fragility (16). AGE levels do not appear to change with bone matrix maturation, but this is limited to a single study in rat bone (15); whether it is stable in maturing osteonal bone has not yet been reported. Where it has been studied, rat and mouse models have recapitulated the changes with AGEs seen in humans with tissue maturation and aging, but further investigation is required to confirm whether enzymatic cross-link content stabilizes as a similar age to that of humans, and whether human bone exhibits AGE stability with tissue maturation.
Guidelines for Measuring and Reporting Trabecular and Cortical Bone in Murine Preclinical Models
Murine models have been excellent models for fundamental discoveries in bone biology, for drug discovery and testing, and for modeling monogenic bone disorders. While their cortical bone is too small to form large, lamellar osteonal structures, their cortex undergoes the same processes as larger species during embryogenesis and growth, exhibits intracortical remodeling during aging and in a range of pathologies, and displays similar mechanisms of matrix maturation as osteonal bone. To make the most of these models for clinical research, in addition to following recommendations to increase reproducibility and reduce bias in animal studies such as the ARRIVE guidelines (260), we suggest 3 key considerations for skeletal research. These are (a) selection of appropriate animal models and controls; (b) detailed reporting of cortical bone phenotypes; and (c) accurate reporting of regions analyzed.
Select an Appropriate Model, Age, Sex, and Anatomical Location
Mouse models are appropriate for modeling many aspects of human bone development and degeneration, including development of cortical bone. Mouse models have successfully identified genetic contributors, cell signals, and interventions in bone development, cortical growth, metaphyseal consolidation, and age-related degeneration, as well as rare bone diseases. Despite the rarity of osteonal systems in murine bone, mice have been a useful model for understanding how high cortical porosity can emerge, although some details of osteonal bone remodeling will require larger animals, with a thicker cortex, such as the rabbit. Further work is needed to better define some mouse models and strains currently in use, particularly for chronic human conditions where interventions may have stage-specific effects, such as diabetes, CKD, and the peri/postmenopausal transition. In the latter case, since ovariectomy does not reflect the gradual changes of a natural menopause, the 4-vinylcyclohexene diepoxide (VCD) model may prove useful (261), although the only study that assessed its effect on bone found no change in cortical bone mass (262).
Early preclinical studies often showed a single time point and sometimes would combine sexes; since these early phenotypes were generally very dramatic, this was adequate. Later studies began to consider that, just as human bone differs with age and sex, so does mouse bone. This means murine phenotypes also vary with age, depending on whether the pathway disrupted contributes to bone development, growth, or maintenance. Murine phenotypes should be studied and reported at multiple ages. This will inform whether the phenotype relates to embryonic bone development, juvenile bone growth, adult bone homeostasis (between 12 weeks and 26 weeks of age), or age-related degeneration (from 20 months of age). A clear rationale should be included for the age selected, particularly when studying a human condition emerging at a specific age, or a biological pathway more relevant for embryonic development rather than in maintaining the mature skeleton (or vice versa).
Since male mice have greater trabecular bone volume (46) with lower trabecular bone remodeling rates (33), and greater cortical thickness and diameter than female mice (46), some phenotypes are also more readily detectable in one sex than the other. For example, trabecular bone loss is more readily detected in male mice because of their greater bone volume at baseline (141), and the low baseline trabecular bone volume in female mice exhibits a more robust increase with anabolic intermittent PTH treatment (263). Male and female mice, like males and females of all mammalian species, have significantly different bone structure and remodeling and both sexes should be studied and reported (see (264)). In all cases, data must be reported separately for each sex.
If studying therapeutic interventions for adult conditions, young, growing mice or rats (ie, before 12 weeks of age) should be avoided (13) because protective effects may be misleading. For example, when studying antiresorptives in young mice, osteoclast inhibition would protect bone mass by preventing resorption of newly forming trabecular bone at the growth plate. This differs from improving the balance between bone formation and resorption in non-targeted remodeling of trabecular bone, which is the dominant process in the adult skeleton. Conversely, increased osteoclastogenesis in young, growing animals resorbs newly emerging trabeculae at the growth plate (265). This is a fundamentally different process than trabecular bone loss due to increased osteoclastogenesis in a mature animal, where trabeculae are lost due to an imbalance in remodeling.
Another challenge of murine models when studying trabecular bone is the very small region of trabecular bone remodeling in murine tibiae and femora. With age-related trabecular bone loss, female C57BL/6J mice over the age of 26 weeks have almost no trabecular bone remaining in their femur (46), while male mice retain approximately 50% of their femoral trabecular bone volume until 20 weeks of age (46). Murine vertebral trabecular bone mass also reduces with age but retains trabecular bone structure at 20 weeks of ∼50% of maximum in females and 70% in males (46). For this reason, when studying trabecular bone remodeling in aged mice, lumbar vertebrae should be assessed.
Report Detailed Cortical Phenotypes
In preparing this review, we noted significant under-reporting of cortical bone phenotypes, and lack of detail of how the cortex is measured, particularly in reporting cortical porosity and bone width. Guidelines for cortical micro-CT analysis were published in 2010 (266). These are still relevant and should be used; to these we would add a requirement to report bone lengths and bone widths in both the craniocaudal (anteroposterior) and mediolateral directions (see (267, 268) for examples), since cortical bone shape is genetically controlled and influences the ability of bone to resist load (269).
More detail is also required in reporting of cortical phenotypes. Diaphyseal cortical thickness is becoming more frequently reported, but lacks information about the etiology unless periosteal perimeter, cross-sectional area, and marrow area are reported. These can be measured simply by micro-CT and should be reported at the same site. Depending on the question, such as whether an Erlenmeyer flask morphology exists, it is also relevant to report these at the metaphysis (267). Measurements at the femoral neck could also be reported for cortical phenotypes (160). It is also helpful to report whether the cortical bone is fully consolidated, by reporting porosity, and the amount of bone at low, mid, and high bone density within the maturing cortical bone (101, 104, 270), particularly in conditions of low mineralization, such as vitamin D deficiency (271).
Report Details of Anatomical Regions Analyzed
Given the variation in trabecular and cortical bone structure, collagen content, mineralization, and osteocyte network complexity with increasing distance from the growth plate, regions of analysis for micro-CT and histomorphometry, including of the osteocyte network, must be reported. Since all these parameters vary with distance from the growth plate, bone lengths must be reported. Many phenotypic reports fail to consider whether the imbalance between resorption and formation arose in the primary spongiosa or occurred in a region reflecting adult trabecular remodeling. This issue was discussed at length when the ovariectomized rat was developed (272), leading to established methods to use aged animals and to avoid the primary spongiosa (273), but is rarely acknowledged in current use of mouse models. When trabecular bone is studied in a growing long bone (regardless of species), the newly formed trabeculae within the primary spongiosa exhibit a distinct region-specific pattern of bone formation and resorption with respect to distance from the growth plate (Fig. 2). For example, near the growth plate there are many osteoclasts resorbing mineralized cartilage, while many osteoblasts are adjacent to this in the region where woven bone is formed, then there is another adjacent region where osteoclasts resorb the primary spongiosa. These regions differ in length between anatomical sites and shorten as growth rate slows.
These different activities in the primary and secondary spongiosa lead to region-specific phenotypes in mouse models (137) and in their responses to therapeutic agents, including PTH and bisphosphonates (160, 274). This must be considered when planning experiments and when reporting data. For example, if the study concerns trabecular remodeling, measurements of trabecular bone volume, osteoblast, and osteoclast surface/number and fluorochrome labels must be made in the secondary spongiosa. In young mice (less than 12 weeks of age), these parameters are unlikely to reflect remodeling, since the trabecular structure is still emerging. This must also be considered in studies of intermittent PTH treatment, where the region of new bone formation is often localized immediately adjacent to the growth plate (see, for example, Fig. 2 in (275)); this reflects establishment of new trabeculae, rather than remodeling, and is of limited relevance to teriparatide use in postmenopausal women (although it would be relevant to managing bone health in pediatrics). The length of the region measured, and its location relative to the growth plate, or other relevant anatomical regions, must be reported in all studies for micro-CT and histomorphometric data. Similarly, studies to investigate adult pathologies, such as testing therapies for established postmenopausal osteoporosis, should use mice ovariectomized after they have reached peak bone mass but before they exhibit an aged skeleton (eg, surgery at least at 16 weeks of age, followed by 4 weeks to lose bone mass).
Conclusion
Murine preclinical models are excellent models for understanding and treating human bone disease, and for improving our understanding of the basic mechanisms of bone cell function. The reporting of skeletal phenotypes has become more diverse over recent decades. While very early studies primarily reported histological images of trabecular bone phenotypes with quantification by histomorphometry, the emergence of 3D imaging techniques, including micro-CT, provides opportunities for more high-throughput phenotyping. We are now able to investigate a significant range of skeletal properties, broadly covering bone shape, bone mass, bone quality and bone strength. Our review identifies that rodent, including rat and murine, models are appropriate to study many aspects of human bone development and degeneration, including of cortical bone. Mouse models have successfully identified genetic contributors, cell signals, and interventions influencing specific processes, like bone development, cortical growth, metaphyseal consolidation, and age-related degeneration, as well as rare bone diseases. Like any model system, there are limitations to their use, but with careful reporting and appropriate experimental design, mouse models will continue to provide great value to skeletal research.
Acknowledgments
We thank Ingrid Poulton for histological sectioning and staining for Fig. 3, Sharon Byers, The University of Adelaide, South Australia, for providing the human rib tissue sections shown in Fig. 3, and Emeritus Professor T. J. Martin for helpful discussions and critical reading of the manuscript.
Abbreviations
- AGE
advanced glycation end-product
- BMP1
bone morphogenetic protein 1
- BMU
basic multicellular unit
- CT
computed tomography
- DMP1
dentin matrix protein 1
- ECL
enzymatic cross-link
- G-CSFR
granulocyte colony-stimulating factor receptor
- GSD
Gorham-Stout disease
- HR-pQCT
high-resolution peripheral quantitative computed tomography
- IFITM5
interferon induced transmembrane protein 5
- IL-
interleukin
- LIF
leukemia inhibitory factor
- OPG
osteoprotegerin
- PHPT
primary hyperparathyroidism
- PTH
parathyroid hormone
- PTH1R
parathyroid hormone receptor
- PTHrP
parathyroid hormone related protein
- RANKL
receptor activator of nuclear factor kappa-B ligand
- SOCS3
suppressor of cytokine signaling 3
- STAT3
signal transducer and activator of transcription 3
- T2DM
type 2 diabetes mellitus
- VEGF
vascular endothelial growth factor
Contributor Information
Natalie Y Y Koh, Bone Cell Biology & Disease Unit, St. Vincent's Institute of Medical Research, Fitzroy, VIC 3065, Australia; Department of Medicine at St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia.
Justyna J Miszkiewicz, School of Social Science, The University of Queensland, Brisbane, QLD 4072, Australia; Vertebrate Evolution Development and Ecology, Naturalis Biodiversity Center, 2333 CR Leiden, The Netherlands.
Mary Louise Fac, Bone Cell Biology & Disease Unit, St. Vincent's Institute of Medical Research, Fitzroy, VIC 3065, Australia; Department of Medicine at St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia.
Natalie K Y Wee, Bone Cell Biology & Disease Unit, St. Vincent's Institute of Medical Research, Fitzroy, VIC 3065, Australia; Department of Medicine at St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia.
Natalie A Sims, Bone Cell Biology & Disease Unit, St. Vincent's Institute of Medical Research, Fitzroy, VIC 3065, Australia; Department of Medicine at St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia.
Funding
N.Y.Y.K. is supported by a scholarship from The University of Melbourne. M.L.F. is supported by an Australian Research Council Discovery Project (DP230100135). N.A.S. was supported by an National Health and Medical Research Council (Australia) Senior Research Fellowship (1154819). N.K.Y.W. was supported by an EH Flack Fellowship from the Marion and EH Flack Trust, and a Weary Dunlop Foundation Research grant. This work was funded by philanthropic support to St. Vincent's Institute. SVI acknowledges the support of the Victorian State Government Operational Infrastructure Scheme.
Disclosures
N.A.S. has received speaker fees from Amgen Inc. and Kyowa Kirin. There are no other conflicts of interest to disclose.
Specialized terms (box of definitions):
Primary spongiosa: Newly formed trabeculae in the metaphysis, located immediately adjacent to the cartilaginous growth plate, containing cartilage remnants and woven bone.
Secondary spongiosa: More mature trabecular bone that is undergoing remodeling.
Endosteal bone surfaces: All the bone surfaces within the marrow cavity, including both trabecular and cortical surfaces.
Endocortical bone surface: The inner surface of cortical bone facing the marrow cavity.
Intracortical bone surface: Bone surfaces within the network of cortical pores.
Periosteum: The outer cortical bone surface (facing the musculature) and the cells that line it.
Woven bone: Bone with disordered collagen and osteocyte orientation.
Lamellar bone: Bone formed in layers of collagen containing flattened osteocytes oriented along the layers.
Reversal cells: A mononuclear osteoblast-lineage cell population that resides on the bone surface during remodeling in the period between bone resorption and bone formation.
Mechanoresponse: The ability of cells to change gene expression in response to mechanical loading.
References
- 1. Albright F, Smith PH, Richardson AM. Postmenopausal osteoporosis: its clinical features. J Am Med Assoc. 1941;116(22):2465‐2474. [Google Scholar]
- 2. Lacey DL, Boyle WJ, Simonet WS, et al. Bench to bedside: elucidation of the OPG–RANK–RANKL pathway and the development of denosumab. Nat Rev Drug Discov. 2012;11:401. [DOI] [PubMed] [Google Scholar]
- 3. Bliuc D, Alarkawi D, Nguyen TV, Eisman JA, Center JR. Risk of subsequent fractures and mortality in elderly women and men with fragility fractures with and without osteoporotic bone density: the dubbo osteoporosis epidemiology study. J Bone Miner Res. 2015;30(4):637‐646. [DOI] [PubMed] [Google Scholar]
- 4. Morin S, Lix LM, Azimaee M, Metge C, Majumdar SR, Leslie WD. Institutionalization following incident non-traumatic fractures in community-dwelling men and women. Osteoporos Int. 2012;23(9):2381‐2386. [DOI] [PubMed] [Google Scholar]
- 5. Tatangelo G, Watts J, Lim K, et al. The cost of osteoporosis, osteopenia, and associated fractures in Australia in 2017. J Bone Miner Res. 2019;34(4):616‐625. [DOI] [PubMed] [Google Scholar]
- 6. Saag KG, Petersen J, Brandi ML, et al. Romosozumab or alendronate for fracture prevention in women with osteoporosis. N Engl J Med. 2017;377(15):1417‐1427. [DOI] [PubMed] [Google Scholar]
- 7. Mazess RB. Fracture risk: a role for compact bone. Calcif Tissue Int. 1990;47(4):191‐193. [DOI] [PubMed] [Google Scholar]
- 8. Li M, Wronski TJ. Response of femoral neck to estrogen depletion and parathyroid hormone in aged rats. Bone. 1995;16(5):551‐557. [DOI] [PubMed] [Google Scholar]
- 9. Yamamoto N, Jee WSS, Ma YF. Bone histomorphometric changes in the femoral neck of aging and ovariectomized rats. Anat Rec. 1995;243(2):175‐185. [DOI] [PubMed] [Google Scholar]
- 10. Kalu DN, Liu CC, Hardin RR, Hollis BW. The aged rat model of ovarian hormone deficiency bone loss. Endocrinology. 1989;124(1):7‐16. [DOI] [PubMed] [Google Scholar]
- 11. Kalu DN. The ovariectomized rat model of postmenopausal bone loss. Bone Miner. 1991;15(3):175‐191. [DOI] [PubMed] [Google Scholar]
- 12. Frost HM, Jee WS. On the rat model of human osteopenias and osteoporoses. Bone Miner. 1992;18(3):227‐236. [DOI] [PubMed] [Google Scholar]
- 13. Thompson DD, Simmons HA, Pirie CM, Ke HZ. FDA guidelines and animal models for osteoporosis. Bone. 1995;17(4, Supplement):S125‐S133. [DOI] [PubMed] [Google Scholar]
- 14. Bonjour JP, Ammann P, Rizzoli R. Importance of preclinical studies in the development of drugs for treatment of osteoporosis: a review related to the 1998 WHO guidelines. Osteoporos Int. 1999;9(5):379‐393. [DOI] [PubMed] [Google Scholar]
- 15. Selye H. On the stimulation of new bone-formation with parathyroid extract and irradiated ergosterol. Endocrinology. 1932;16(5):547‐558. [Google Scholar]
- 16. Martin TJ, Sims NA, Seeman E. Physiological and pharmacological roles of PTH and PTHrP in bone using their shared receptor, PTH1R. Endocr Rev. 2021;42(4):383‐406. [DOI] [PubMed] [Google Scholar]
- 17. Hornby SB, Evans GP, Hornby SL, Pataki A, Glatt M, Green JR. Long-term zoledronic acid treatment increases bone structure and mechanical strength of long bones of ovariectomized adult rats. Calcif Tissue Int. 2003;72(4):519‐527. [DOI] [PubMed] [Google Scholar]
- 18. Wronski TJ, Yen CF, Scott KS. Estrogen and diphosphonate treatment provide long-term protection against osteopenia in ovariectomized rats. J Bone Miner Res. 1991;6(4):387‐394. [DOI] [PubMed] [Google Scholar]
- 19. Boyce RW, Wronski TJ, Ebert DC, et al. Direct stereological estimation of three-dimensional connectivity in rat vertebrae: effect of estrogen, etidronate and risedronate following ovariectomy. Bone. 1995;16(2):209‐213. [DOI] [PubMed] [Google Scholar]
- 20. Liu CC, Kalu DN, Salerno E, Echon R, Hollis BW, Ray M. Preexisting bone loss associated with ovariectomy in rats is reversed by parathyroid hormone. J Bone Miner Res. 1991;6(10):1071‐1080. [DOI] [PubMed] [Google Scholar]
- 21. Findlay DM. Good Science, Strong Bones, and the Case for Supporting Discovery. Cambridge Scholars Publishing; 2020. [Google Scholar]
- 22. Tsuda E, Goto M, Mochizuki S, et al. Isolation of a novel cytokine from human fibroblasts that specifically inhibits osteoclastogenesis. Biochem Biophys Res Commun. 1997;234(1):137‐142. [DOI] [PubMed] [Google Scholar]
- 23. Simonet WS, Lacey DL, Dunstan CR, et al. Osteoprotegerin: a novel secreted protein involved in the regulation of bone density. Cell. 1997;89(2):309‐319. [DOI] [PubMed] [Google Scholar]
- 24. Kong YY, Yoshida H, Sarosi I, et al. OPGL is a key regulator of osteoclastogenesis, lymphocyte development and lymph-node organogenesis. Nature. 1999;397(6717):315‐323. [DOI] [PubMed] [Google Scholar]
- 25. Bucay N, Sarosi I, Dunstan CR, et al. Osteoprotegerin-deficient mice develop early onset osteoporosis and arterial calcification. Genes Dev. 1998;12(9):1260‐1268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Brommage R, Ohlsson C. High fidelity of mouse models mimicking human genetic skeletal disorders. Front Endocrinol (Lausanne). 2019;10:934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Grüneberg H, Haldane JBS. A new sub-lethal colour mutation in the house mouse. Proc Royal Soc Lond Ser B—Biol Sci. 1935;118(809):321‐342. [Google Scholar]
- 28. Chalhoub N, Benachenhou N, Rajapurohitam V, et al. Grey-lethal mutation induces severe malignant autosomal recessive osteopetrosis in mouse and human. Nat Med. 2003;9(4):399‐406. [DOI] [PubMed] [Google Scholar]
- 29. Bassett JH, Gogakos A, White JK, et al. Rapid-throughput skeletal phenotyping of 100 knockout mice identifies 9 new genes that determine bone strength. PLoS Genet. 2012;8(8):e1002858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Formosa MM, Bergen DJM, Gregson CL, et al. A roadmap to gene discoveries and novel therapies in monogenic low and high bone mass disorders. Front Endocrinol (Lausanne). 2021;12:709711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Maynard RD, Ackert-Bicknell CL. Mouse models and online resources for functional analysis of osteoporosis genome-wide association studies. Front Endocrinol (Lausanne). 2019;10:277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Lanske B, Karaplis AC, Lee K, et al. PTH/PTHrP receptor in early development and Indian hedgehog-regulated bone growth. Science. 1996;273(5275):663‐666. [DOI] [PubMed] [Google Scholar]
- 33. Sims NA, Dupont S, Krust A, et al. Deletion of estrogen receptors reveals a regulatory role for estrogen receptors-beta in bone remodeling in females but not in males. Bone. 2002;30(1):18‐25. [DOI] [PubMed] [Google Scholar]
- 34. Frost HM. Dynamics of bone remodeling. In: Frost HM, ed. Bone Biodynamics. Little, Brown & Co.; 1964:315‐333. [Google Scholar]
- 35. Burr DB, Robling AG, Turner CH. Effects of biomechanical stress on bones in animals. Bone. 2002;30(5):781‐786. [DOI] [PubMed] [Google Scholar]
- 36. Parfitt AM, Mathews CH, Villanueva AR, Kleerekoper M, Frame B, Rao DS. Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss. J Clin Invest. 1983;72(4):1396‐1409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Robling AG, Turner CH. Mechanical signaling for bone modeling and remodeling. Crit Rev Eukaryot Gene Expr. 2009;19(4):319‐338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Compston JE. Skeletal actions of intermittent parathyroid hormone: effects on bone remodelling and structure. Bone. 2007;40(6):1447‐1452. [DOI] [PubMed] [Google Scholar]
- 39. Hattner R, Epker BN, Frost HM. Suggested sequential mode of control of changes in cell behaviour in adult bone remodelling. Nature. 1965;206(983):489‐490. [DOI] [PubMed] [Google Scholar]
- 40. Frost HM. A synchronous group of mammalian cells whose in vivo behavior can be studied. Henry Ford Hosp Med Bull. 1965;13(2):161‐172. [PubMed] [Google Scholar]
- 41. Parfitt AM. Osteonal and hemi-osteonal remodeling: the spatial and temporal framework for signal traffic in adult human bone. J Cell Biochem. 1994;55(3):273‐286. [DOI] [PubMed] [Google Scholar]
- 42. Sims NA, Martin TJ. Osteoclasts provide coupling signals to osteoblast lineage cells through multiple mechanisms. Annu Rev Physiol. 2020;82:507‐529. [DOI] [PubMed] [Google Scholar]
- 43. Sims NA, Martin TJ. Chapter 10—coupling of bone formation and resorption. In: Bilezikian JP Martin TJ Clemens TL and Rosen CJ (eds.), Principles of Bone Biology. Fourth Edition: Academic Press; 2020:219‐243. [Google Scholar]
- 44. Roach HI, Mehta G, Oreffo ROC, Clarke NMP, Cooper C. Temporal analysis of rat growth plates: cessation of growth with age despite presence of a physis. J Histochem Cytochem. 2003;51(3):373‐383. [DOI] [PubMed] [Google Scholar]
- 45. Chagin AS, Lindberg MK, Andersson N, et al. Estrogen receptor-β inhibits skeletal growth and has the capacity to mediate growth plate fusion in female mice. J Bone Miner Res. 2004;19(1):72‐77. [DOI] [PubMed] [Google Scholar]
- 46. Glatt V, Canalis E, Stadmeyer L, Bouxsein ML. Age-related changes in trabecular architecture differ in female and male C57BL/6J mice. J Bone Miner Res. 2007;22(8):1197‐1207. [DOI] [PubMed] [Google Scholar]
- 47. Jilka RL. The relevance of mouse models for investigating age-related bone loss in humans. J Gerontol A Biol Sci Med Sci. 2013;68(10):1209‐1217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. De Buffrénil V, de Muizon C, Dumont M, Laurin M, Lambert O. Diversity of Bone Microstructure in Mammals. Vertebrate Skeletal Histology and Paleohistology. p. 564‐614; CRC Press; 2021. [Google Scholar]
- 49. Doherty AH, Ghalambor CK, Donahue SW. Evolutionary physiology of bone: bone metabolism in changing environments. Physiology (Bethesda). 2015;30(1):17‐29. [DOI] [PubMed] [Google Scholar]
- 50. Currey JD, Dean MN, Shahar R. Revisiting the links between bone remodelling and osteocytes: insights from across phyla. Biol Rev Camb Philos Soc. 2017;92(3):1702‐1719. [DOI] [PubMed] [Google Scholar]
- 51. Ricklefs RE, Wikelski M. The physiology/life-history nexus. Trends Ecol Evol (Amst). 2002;17(10):462‐468. [Google Scholar]
- 52. Bromage TG, Lacruz RS, Hogg R, et al. Lamellar bone is an incremental tissue reconciling enamel rhythms, body size, and organismal life history. Calcif Tissue Int. 2009;84(5):388‐404. [DOI] [PubMed] [Google Scholar]
- 53. Francillon-Vieillot H, De Buffrénil V, Castanet J, et al. Microstructure and mineralization of vertebrate skeletal tissues. In: Carter JG (ed.), Skeletal Biomineralization: Patterns, Processes and Evolutionary Trends. Vol I. Van Nostrand Reinhold; 1990:471‐530. [Google Scholar]
- 54. Speakman JR. The physiological costs of reproduction in small mammals. Philos Trans R Soc Lond B Biol Sci. 2008;363(1490):375‐398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Pfeiffer S. Cortical bone histology in juveniles. Documenta archaeobiologiae. 2006;4:15‐28. [Google Scholar]
- 56. Pitfield R, Miszkiewicz JJ, Mahoney P. Cortical histomorphometry of the human humerus during ontogeny. Calcif Tissue Int. 2017;101(2):148‐158. [DOI] [PubMed] [Google Scholar]
- 57. Robling AG, Castillo AB, Turner CH. Biomechanical and molecular regulation of bone remodeling. Annu Rev Biomed Eng. 2006;8(1):455‐498. [DOI] [PubMed] [Google Scholar]
- 58. Paine RR, Brenton BP. Dietary health does affect histological age assessment: an evaluation of the stout and paine (1992) age estimation equation using secondary osteons from the rib*. J Forensic Sci. 2006;51(3):489‐492. [DOI] [PubMed] [Google Scholar]
- 59. Maggiano IS, Maggiano CM, Tiesler VG, Chi-Keb JR, Stout SD. Drifting diaphyses: asymmetry in diametric growth and adaptation along the humeral and femoral length. Anat Rec (Hoboken). 2015;298(10):1689‐1699. [DOI] [PubMed] [Google Scholar]
- 60. Gocha TP, Agnew AM. Spatial variation in osteon population density at the human femoral midshaft: histomorphometric adaptations to habitual load environment. J Anat. 2016;228(5):733‐745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Skedros JG, Sorenson SM, Jenson NH. Are distributions of secondary osteon variants useful for interpreting load history in mammalian bones? Cells Tissues Organs. 2007;185(4):285‐307. [DOI] [PubMed] [Google Scholar]
- 62. Ip V, Toth Z, Chibnall J, McBride-Gagyi S. Remnant woven bone and calcified cartilage in mouse bone: differences between ages/sex and effects on bone strength. PLoS One. 2016;11(11):e0166476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Bach-Gansmo FL, Irvine SC, Brüel A, Thomsen JS, Birkedal H. Calcified cartilage islands in rat cortical bone. Calcif Tissue Int. 2013;92(4):330‐338. [DOI] [PubMed] [Google Scholar]
- 64. Shipov A, Zaslansky P, Riesemeier H, Segev G, Atkins A, Shahar R. Unremodeled endochondral bone is a major architectural component of the cortical bone of the rat (Rattus norvegicus). J Struct Biol. 2013;183(2):132‐140. [DOI] [PubMed] [Google Scholar]
- 65. Goodyear SR, Gibson IR, Skakle JMS, Wells RPK, Aspden RM. A comparison of cortical and trabecular bone from C57 Black 6 mice using Raman spectroscopy. Bone. 2009;44(5):899‐907. [DOI] [PubMed] [Google Scholar]
- 66. De Saint-Georges L, Miller SC. The micocirculation of bone and marrow in the diaphysis of the rat hemopoietic long bones. Anat Rec. 1992;233(2):169‐177. [DOI] [PubMed] [Google Scholar]
- 67. Schneider P, Stauber M, Voide R, Stampanoni M, Donahue LR, Müller R. Ultrastructural properties in cortical bone vary greatly in two inbred strains of mice as assessed by synchrotron light based micro- and nano-CT. J Bone Miner Res. 2007;22(10):1557‐1570. [DOI] [PubMed] [Google Scholar]
- 68. Schneider P, Krucker T, Meyer E, et al. Simultaneous 3D visualization and quantification of murine bone and bone vasculature using micro-computed tomography and vascular replica. Microsc Res Tech. 2009;72(9):690‐701. [DOI] [PubMed] [Google Scholar]
- 69. Grüneboom A, Hawwari I, Weidner D, et al. A network of trans-cortical capillaries as mainstay for blood circulation in long bones. Nat Metabol. 2019;1(2):236‐250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Mader KS, Schneider P, Müller R, Stampanoni M. A quantitative framework for the 3D characterization of the osteocyte lacunar system. Bone. 2013;57(1):142‐154. [DOI] [PubMed] [Google Scholar]
- 71. Hedjazi G, Guterman-Ram G, Blouin S, et al. Alterations of bone material properties in growing Ifitm5/BRIL p.S42 knock-in mice, a new model for atypical type VI osteogenesis imperfecta. Bone. 2022;162:116451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Blouin S, Fratzl-Zelman N, Roschger A, et al. Cortical bone properties in the Brtl/+ mouse model of Osteogenesis imperfecta as evidenced by acoustic transmission microscopy. J Mech Behav Biomed Mater. 2019;90:125‐132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Felder AA, Phillips C, Cornish H, Cooke M, Hutchinson JR, Doube M. Secondary osteons scale allometrically in mammalian humerus and femur. R Soc Open Sci. 2017;4(11):170431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Shahar R, Dean MN. The enigmas of bone without osteocytes. Bonekey Rep. 2013;2:343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Brockstedt H, Kassem M, Eriksen EF, Mosekilde L, Melsen F. Age- and sex-related changes in iliac cortical bone mass and remodeling. Bone. 1993;14(4):681‐691. [DOI] [PubMed] [Google Scholar]
- 76. Ruth EB. Bone studies. II. An experimental study of the haversian-type vascular channels. Am J Anat. 1953;93(3):429‐455. [DOI] [PubMed] [Google Scholar]
- 77. Kubek D, Burr D, Allen M. Ovariectomy stimulates and bisphosphonates inhibit intracortical remodeling in the mouse mandible. Orthod Craniofac Res. 2010;13(4):214‐222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Metzger CE, Swallow EA, Stacy AJ, Allen MR. Strain-specific alterations in the skeletal response to adenine-induced chronic kidney disease are associated with differences in parathyroid hormone levels. Bone. 2021;148:115963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Robling AG, Kedlaya R, Ellis SN, et al. Anabolic and catabolic regimens of human parathyroid hormone 1–34 elicit bone- and envelope-specific attenuation of skeletal effects in sost-deficient mice. Endocrinology. 2011;152(8):2963‐2975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Piemontese M, Almeida M, Robling AG, et al. Old age causes de novo intracortical bone remodeling and porosity in mice. JCI Insight. 2017;2(17):e93771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Ferguson VL, Ayers RA, Bateman TA, Simske SJ. Bone development and age-related bone loss in male C57BL/6J mice. Bone. 2003;33(3):387‐398. [DOI] [PubMed] [Google Scholar]
- 82. Tiede-Lewis LM, Xie Y, Hulbert MA, et al. Degeneration of the osteocyte network in the C57BL/6 mouse model of aging. Aging (Albany NY). 2017;9(10):2190‐2208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Li CY, Schaffler MB, Wolde-Semait HT, Hernandez CJ, Jepsen KJ. Genetic background influences cortical bone response to ovariectomy. J Bone Miner Res. 2005;20(12):2150‐2158. [DOI] [PubMed] [Google Scholar]
- 84. Metzger CE, Swallow EA, Stacy AJ, Allen MR. Adenine-induced chronic kidney disease induces a similar skeletal phenotype in male and female C57BL/6 mice with more severe deficits in cortical bone properties of male mice. PLoS One. 2021;16(4):e0250438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Lau WL, Linnes M, Chu EY, et al. High phosphate feeding promotes mineral and bone abnormalities in mice with chronic kidney disease. Nephrol Dial Transplant. 2012;28(1):62‐69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Tippen SP, Metzger CE, Swallow EA, Sacks SA, Wallace JM, Allen MR. The combination of aging and chronic kidney disease leads to an exacerbated cortical porosity phenotype. Bone. 2022;154:116228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Thomas CD, Feik SA, Clement JG. Increase in pore area, and not pore density, is the main determinant in the development of porosity in human cortical bone. J Anat. 2006;209(2):219‐230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Thomas CD, Feik SA, Clement JG. Regional variation of intracortical porosity in the midshaft of the human femur: age and sex differences. J Anat. 2005;206(2):115‐125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Hominick D, Silva A, Khurana N, et al. VEGF-C promotes the development of lymphatics in bone and bone loss. Elife. 2018;7:e34323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Dellinger MT, Garg N, Olsen BR. Viewpoints on vessels and vanishing bones in Gorham-Stout disease. Bone. 2014;63:47‐52. [DOI] [PubMed] [Google Scholar]
- 91. Cafiero C, Gigante M, Brunetti G, et al. Inflammation induces osteoclast differentiation from peripheral mononuclear cells in chronic kidney disease patients: crosstalk between the immune and bone systems. Nephrol Dial Transplant. 2017;33(1):65‐75. [DOI] [PubMed] [Google Scholar]
- 92. Moverare-Skrtic S, Henning P, Liu X, et al. Osteoblast-derived WNT16 represses osteoclastogenesis and prevents cortical bone fragility fractures. Nat Med. 2014;20(11):1279‐1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Li CY, Jepsen KJ, Majeska RJ, et al. Mice lacking cathepsin K maintain bone remodeling but develop bone fragility despite high bone mass. J Bone Miner Res. 2006;21(6):865‐875. [DOI] [PubMed] [Google Scholar]
- 94. Morko J, Kiviranta R, Hurme S, Rantakokko J, Vuorio E. Differential turnover of cortical and trabecular bone in transgenic mice overexpressing cathepsin K. Bone. 2005;36(5):854‐865. [DOI] [PubMed] [Google Scholar]
- 95. Kiviranta R, Morko J, Uusitalo H, Aro HT, Vuorio E, Rantakokko J. Accelerated turnover of metaphyseal trabecular bone in mice overexpressing cathepsin K. J Bone Miner Res. 2001;16(8):1444‐1452. [DOI] [PubMed] [Google Scholar]
- 96. Maes C, Goossens S, Bartunkova S, et al. Increased skeletal VEGF enhances beta-catenin activity and results in excessively ossified bones. Embo J. 2010;29(2):424‐441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Piemontese M, Xiong J, Fujiwara Y, Thostenson JD, O'Brien CA. Cortical bone loss caused by glucocorticoid excess requires RANKL production by osteocytes and is associated with reduced OPG expression in mice. Am J Physiol-Endocrinol Metabol. 2016;311(3):E587‐E593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Lloyd SAJ, Yuan YY, Kostenuik PJ, et al. Soluble RANKL induces high bone turnover and decreases bone volume, density, and strength in mice. Calcif Tissue Int. 2008;82(5):361‐372. [DOI] [PubMed] [Google Scholar]
- 99. Rinotas V, Niti A, Dacquin R, et al. Novel genetic models of osteoporosis by overexpression of human RANKL in transgenic mice. J Bone Miner Res. 2014;29(5):1158‐1169. [DOI] [PubMed] [Google Scholar]
- 100. Meijome TE, Hooker RA, Cheng Y-H, et al. GATA-1 Deficiency rescues trabecular but not cortical bone in OPG deficient mice. J Cell Physiol. 2015;230(4):783‐790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Walker EC, Truong K, McGregor NE, et al. Cortical bone maturation in mice requires SOCS3 suppression of gp130/STAT3 signalling in osteocytes. Elife. 2020;9:e56666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Cho DC, Brennan HJ, Johnson RW, et al. Bone corticalization requires local SOCS3 activity and is promoted by androgen action via interleukin-6. Nat Commun. 2017;8(1):806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. McGregor NE, Walker EC, Chan AS, et al. STAT3 hyperactivation due to SOCS3 deletion in murine osteocytes accentuates responses to exercise- and load-induced bone formation. J Bone Miner Res. 2022;37(3):547‐558. [DOI] [PubMed] [Google Scholar]
- 104. Isojima T, Walker EC, Poulton IJ, et al. G-CSF receptor deletion amplifies cortical bone dysfunction in mice with STAT3 hyperactivation in osteocytes. J Bone Miner Res. 2022;37(10):1876‐1890. [DOI] [PubMed] [Google Scholar]
- 105. Wee NKY, de Lima TFC, McGregor NE, et al. Leptin receptor in osteocytes promotes cortical bone consolidation in female mice. J Endocrinol. 2022;255(1):25‐37. [DOI] [PubMed] [Google Scholar]
- 106. Ohishi M, Chiusaroli R, Ominsky M, et al. Osteoprotegerin abrogated cortical porosity and bone marrow fibrosis in a mouse model of constitutive activation of the PTH/PTHrP receptor. Am J Pathol. 2009;174(6):2160‐2171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Vu TDT, Wang XF, Wang Q, et al. New insights into the effects of primary hyperparathyroidism on the cortical and trabecular compartments of bone. Bone. 2013;55(1):57‐63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Xue Y, Xiao Y, Liu J, et al. The calcium-sensing receptor complements parathyroid hormone-induced bone turnover in discrete skeletal compartments in mice. Am J Physiol-Endocrinol Metabol. 2012;302(7):E841‐E851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Miao D, He B, Karaplis AC, Goltzman D. Parathyroid hormone is essential for normal fetal bone formation. J Clin Invest. 2002;109(9):1173‐1182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Thrailkill KM, Clay Bunn R, Nyman JS, et al. SGLT2 inhibitor therapy improves blood glucose but does not prevent diabetic bone disease in diabetic DBA/2J male mice. Bone. 2016;82:101‐107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Wölfel EM, Jähn-Rickert K, Schmidt FN, et al. Individuals with type 2 diabetes mellitus show dimorphic and heterogeneous patterns of loss in femoral bone quality. Bone. 2020;140:115556. [DOI] [PubMed] [Google Scholar]
- 112. Shi T, Lu K, Shen S, et al. Fenofibrate decreases the bone quality by down regulating runx2 in high-fat-diet induced type 2 diabetes mellitus mouse model. Lipids Health Dis. 2017;16(1):201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Chen S, Liu D, He S, et al. Differential effects of type 1 diabetes mellitus and subsequent osteoblastic β-catenin activation on trabecular and cortical bone in a mouse model. Exp Mol Med. 2018;50(12):1‐14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Bouleftour W, Juignet L, Verdière L, et al. Deletion of OPN in BSP knockout mice does not correct bone hypomineralization but results in high bone turnover. Bone. 2019;120:411‐422. [DOI] [PubMed] [Google Scholar]
- 115. Bonnet N, Gineyts E, Ammann P, Conway SJ, Garnero P, Ferrari S. Periostin deficiency increases bone damage and impairs injury response to fatigue loading in adult mice. PLoS One. 2013;8(10):e78347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Buo AM, Tomlinson RE, Eidelman ER, Chason M, Stains JP. Connexin43 and runx2 interact to affect cortical bone geometry, skeletal development, and osteoblast and osteoclast function. J Bone Miner Res. 2017;32(8):1727‐1738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Lloyd SA, Lewis GS, Zhang Y, Paul EM, Donahue HJ. Connexin 43 deficiency attenuates loss of trabecular bone and prevents suppression of cortical bone formation during unloading. J Bone Miner Res. 2012;27(11):2359‐2372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Yorgan TA, Sari H, Rolvien T, et al. Mice lacking plastin-3 display a specific defect of cortical bone acquisition. Bone. 2020;130:115062. [DOI] [PubMed] [Google Scholar]
- 119. Neunaber C, Catala-Lehnen P, Beil FT, et al. Increased trabecular bone formation in mice lacking the growth factor midkine. J Bone Miner Res. 2010;25(8):1724‐1735. [DOI] [PubMed] [Google Scholar]
- 120. Nakamura E, Kadomatsu K, Yuasa S, et al. Disruption of the midkine gene (Mdk) resulted in altered expression of a calcium binding protein in the hippocampus of infant mice and their abnormal behaviour. Genes Cells. 1998;3(12):811‐822. [DOI] [PubMed] [Google Scholar]
- 121. Abboud S, Ghosh-Choudhury N, Liu C, Shen V, Woodruff K. Osteoblast-Specific targeting of soluble colony-stimulating factor-1 increases cortical bone thickness in mice. J Bone Miner Res. 2003;18(8):1386‐1394. [DOI] [PubMed] [Google Scholar]
- 122. Iura A, McNerny EG, Zhang Y, et al. Mechanical loading synergistically increases trabecular bone volume and improves mechanical properties in the mouse when BMP signaling is specifically ablated in osteoblasts. PLoS One. 2015;10(10):e0141345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Almeida M, Kim H-N, Han L, et al. Increased marrow adipogenesis does not contribute to age-dependent appendicular bone loss in female mice. Aging Cell. 2020;19(11):e13247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Tatsumi S, Ishii K, Amizuka N, et al. Targeted ablation of osteocytes induces osteoporosis with defective mechanotransduction. Cell Metab. 2007;5(6):464‐475. [DOI] [PubMed] [Google Scholar]
- 125. Maes C, Kobayashi T, Selig MK, et al. Osteoblast precursors, but not mature osteoblasts, move into developing and fractured bones along with invading blood vessels. Dev Cell. 2010;19(2):329‐344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Sharir A, Stern T, Rot C, Shahar R, Zelzer E. Muscle force regulates bone shaping for optimal load-bearing capacity during embryogenesis. Development. 2011;138(15):3247‐3259. [DOI] [PubMed] [Google Scholar]
- 127. Gardner E, Gray DJ. The prenatal development of the human femur. Am J Anat. 1970;129(2):121‐140. [DOI] [PubMed] [Google Scholar]
- 128. Kronenberg HM. The role of the perichondrium in fetal bone development. Ann N Y Acad Sci. 2007;1116(1):59‐64. [DOI] [PubMed] [Google Scholar]
- 129. Giraud-Guille MM. Twisted plywood architecture of collagen fibrils in human compact bone osteons. Calcif Tissue Int. 1988;42(3):167‐180. [DOI] [PubMed] [Google Scholar]
- 130. Zimmermann EA, Riedel C, Schmidt FN, et al. Mechanical competence and bone quality develop during skeletal growth. J Bone Miner Res. 2019;34(8):1461‐1472. [DOI] [PubMed] [Google Scholar]
- 131. Currey JD. Changes in the impact energy absorption of bone with age. J Biomech. 1979;12(6):459‐469. [DOI] [PubMed] [Google Scholar]
- 132. Cooper KL, Oh S, Sung Y, Dasari RR, Kirschner MW, Tabin CJ. Multiple phases of chondrocyte enlargement underlie differences in skeletal proportions. Nature. 2013;495:375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Ernst LM. Bone. In: Ernst LM Ruchelli ED Carreon CK and Huff DS (eds.), Color Atlas of Human Fetal and Neonatal Histology. Springer International Publishing; 2019:357‐366. [Google Scholar]
- 134. Lazarus S, Tseng H-W, Lawrence F, Woodruff MA, Duncan EL, Pettit AR. Characterization of normal murine carpal bone development prompts Re-evaluation of pathologic osteolysis as the cause of human carpal-tarsal osteolysis disorders. Am J Pathol. 2017;187(9):1923‐1934. [DOI] [PubMed] [Google Scholar]
- 135. Sims NA, Baron R (ed.), Bone Cells and Their Function. In: Canalis E, ed. Skeletal Growth Factors. Lippincott Williams and Wilkins; 2000:1‐16. [Google Scholar]
- 136. Cormier-Daire V, Munnich A, Lyonnet S, et al. Presentation of six cases of stuve-wiedemann syndrome. Pediatr Radiol. 1998;28(10):776‐780. [DOI] [PubMed] [Google Scholar]
- 137. Poulton IJ, McGregor NE, Pompolo S, Walker EC, Sims NA. Contrasting roles of leukemia inhibitory factor in murine bone development and remodeling involve region-specific changes in vascularization. J Bone Miner Res. 2012;27(3):586‐595. [DOI] [PubMed] [Google Scholar]
- 138. Chiusaroli R, Maier A, Knight MC, et al. Collagenase cleavage of type I collagen is essential for both basal and parathyroid hormone (PTH)/PTH-related peptide receptor-induced osteoclast activation and has differential effects on discrete bone compartments. Endocrinology. 2003;144(9):4106‐4116. [DOI] [PubMed] [Google Scholar]
- 139. Gauci SJ, Golub SB, Tatarczuch L, et al. Disrupted type II collagenolysis impairs angiogenesis, delays endochondral ossification and initiates aberrant ossification in mouse limbs. Matrix Biol. 2019;83:77‐96. [DOI] [PubMed] [Google Scholar]
- 140. Tonna S, Poulton IJ, Taykar F, et al. Chondrocytic ephrin B2 promotes cartilage destruction by osteoclasts in endochondral ossification. Development. 2016;143(4):648‐657. [DOI] [PubMed] [Google Scholar]
- 141. Tonna S, Takyar FM, Vrahnas C, et al. Ephrinb2 signaling in osteoblasts promotes bone mineralization by preventing apoptosis. FASEB J. 2014;28(10):4482‐4496. [DOI] [PubMed] [Google Scholar]
- 142. Enlow DH. A study of the post-natal growth and remodeling of bone. Am J Anat. 1962;110:79‐101. [DOI] [PubMed] [Google Scholar]
- 143. Currey JD, Shahar R. Cavities in the compact bone in tetrapods and fish and their effect on mechanical properties. J Struct Biol. 2013;183(2):107‐122. [DOI] [PubMed] [Google Scholar]
- 144. Enlow DH. Principles of Bone Remodeling: An Account of Post-Natal Growth and Remodeling Processes in Long Bones and the Mandible. Charles C Thomas; 1963. [Google Scholar]
- 145. Ghasem-Zadeh A, Burghardt A, Wang XF, et al. Quantifying sex, race, and age specific differences in bone microstructure requires measurement of anatomically equivalent regions. Bone. 2017;101:206‐213. [DOI] [PubMed] [Google Scholar]
- 146. Shapiro F, Glimcher MJ, Holtrop ME, Tashjian AH, Brickley-Parsons D, Kenzora JE. Human osteopetrosis: a histological, ultrastructural, and biochemical study. J Bone Joint Surg Am. 1980;62(3):384‐399. [PubMed] [Google Scholar]
- 147. Helfrich MH, Aronson DC, Everts V, et al. Morphologic features of bone in human osteopetrosis. Bone. 1991;12(6):411‐419. [DOI] [PubMed] [Google Scholar]
- 148. Soriano P, Montgomery C, Geske R, Bradley A. Targeted disruption of the c-src proto-oncogene leads to osteopetrosis in mice. Cell. 1991;64(4):693‐702. [DOI] [PubMed] [Google Scholar]
- 149. Harris SE, MacDougall M, Horn D, et al. Meox2Cre-mediated disruption of CSF-1 leads to osteopetrosis and osteocyte defects. Bone. 2012;50(1):42‐53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Gil-Henn H, Destaing O, Sims NA, et al. Defective microtubule-dependent podosome organization in osteoclasts leads to increased bone density in pyk2(-/-) mice. J Cell Biol. 2007;178(6):1053‐1064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151. Walker EC, McGregor NE, Poulton IJ, et al. Cardiotrophin-1 is an osteoclast-derived stimulus of bone formation required for normal bone remodeling. J Bone Miner Res. 2008;23(12):2025‐2032. [DOI] [PubMed] [Google Scholar]
- 152. Arruda M, Coelho MCA, Moraes AB, et al. Bone mineral density and microarchitecture in patients with autosomal dominant osteopetrosis: a report of two cases. J Bone Miner Res. 2016;31(3):657‐662. [DOI] [PubMed] [Google Scholar]
- 153. Li CY, Jepsen KJ, Majeska RJ, et al. Mice lacking cathepsin K maintain bone remodeling but develop bone fragility despite high bone mass. J Bone Miner Res. 2006;21(6):865‐875. [DOI] [PubMed] [Google Scholar]
- 154. Maes C, Carmeliet P, Moermans K, et al. Impaired angiogenesis and endochondral bone formation in mice lacking the vascular endothelial growth factor isoforms VEGF164 and VEGF188. Mech Dev. 2002;111(1-2):61‐73. [DOI] [PubMed] [Google Scholar]
- 155. Sobacchi C, Schulz A, Coxon FP, Villa A, Helfrich MH. Osteopetrosis: genetics, treatment and new insights into osteoclast function. Nat Rev Endocrinol. 2013;9(9):522‐536. [DOI] [PubMed] [Google Scholar]
- 156. Faden MA, Krakow D, Ezgu F, Rimoin DL, Lachman RS. The erlenmeyer flask bone deformity in the skeletal dysplasias. Am J Med Genet Part A. 2009;149A(6):1334‐1345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Stein M, Barnea-Zohar M, Shalev M, et al. Massive osteopetrosis caused by non-functional osteoclasts in R51Q SNX10 mutant mice. Bone. 2020;136:115360. [DOI] [PubMed] [Google Scholar]
- 158. Stattin EL, Henning P, Klar J, et al. SNX10 gene mutation leading to osteopetrosis with dysfunctional osteoclasts. Sci Rep. 2017;7(1):3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159. Walker EC, McGregor NE, Poulton IJ, et al. Oncostatin M promotes bone formation independently of resorption when signaling through leukemia inhibitory factor receptor in mice. J Clin Invest. 2010;120(2):582‐592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Brommage R, Jeter-Jones S, Xiong W, Liu J. MicroCT analyses of mouse femoral neck architecture. Bone. 2021;145:115040. [DOI] [PubMed] [Google Scholar]
- 161. Kiper POS, Saito H, Gori F, et al. Cortical-Bone fragility–insights from sFRP4 deficiency in Pyle's disease. N Engl J Med. 2016;374(26):2553‐2562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Haraguchi R, Kitazawa R, Mori K, et al. sFRP4-dependent wnt signal modulation is critical for bone remodeling during postnatal development and age-related bone loss. Sci Rep. 2016;6(1):25198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Whyte MP, Mumm S. Heritable disorders of the RANKL/OPG/RANK signaling pathway. J Musculoskelet Neuronal Interact. 2004;4(3):254‐267. [PubMed] [Google Scholar]
- 164. Lafage-Proust MH, Roche B, Langer M, et al. Assessment of bone vascularization and its role in bone remodeling. Bonekey Rep. 2015;4:662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. Hirose S, Li M, Kojima T, et al. A histological assessment on the distribution of the osteocytic lacunar canalicular system using silver staining. J Bone Miner Metab. 2007;25(6):374‐382. [DOI] [PubMed] [Google Scholar]
- 166. Enlow DH. Functions of the haversian system. Am J Anat. 1962;110:269‐305. [DOI] [PubMed] [Google Scholar]
- 167. Bala Y, Bui QM, Wang X-F, et al. Trabecular and cortical microstructure and fragility of the distal radius in women. J Bone Miner Res. 2015;30(4):621‐629. [DOI] [PubMed] [Google Scholar]
- 168. Liu X, D'Cruz AA, Hansen J, et al. Deleting suppressor of cytokine signaling-3 in chondrocytes reduces bone growth by disrupting mitogen-activated protein kinase signaling. Osteoarthritis Cartilage. 2019;27(10):1557‐1563. [DOI] [PubMed] [Google Scholar]
- 169. Sims NA. Influences of the IL-6 cytokine family on bone structure and function. Cytokine. 2021;146:155655. [DOI] [PubMed] [Google Scholar]
- 170. Goldman HM, Mcfarlin SC, Cooper DML, Thomas CDL, Clement JG. Ontogenetic patterning of cortical bone microstructure and geometry at the human mid-shaft femur. Anat Rec. 2009;292(1):48‐64. [DOI] [PubMed] [Google Scholar]
- 171. Allen MR, Burr DB. Chapter 4—bone modeling and remodeling. In: Burr DB and Allen MR (eds.), Basic and Applied Bone Biology. Academic Press; 2014:75‐90. [Google Scholar]
- 172. Isojima T, Sims NA. Cortical bone development, maintenance and porosity: genetic alterations in humans and mice influencing chondrocytes, osteoclasts, osteoblasts and osteocytes. Cell Mol Life Sci. 2021;78(15):5755‐5773. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Johnson ML. LRP5 and bone mass regulation: where are we now? Bonekey Rep. 2012;1:1‐6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Sebastian A, Loots GG. Genetics of sost/SOST in sclerosteosis and van buchem disease animal models. Metabolism. 2018;80:38‐47. [DOI] [PubMed] [Google Scholar]
- 175. Franz-Odendaal TA, Hall BK, Witten PE. Buried alive: how osteoblasts become osteocytes. Dev Dyn. 2006;235(1):176‐190. [DOI] [PubMed] [Google Scholar]
- 176. Buenzli PR, Sims NA. Quantifying the osteocyte network in the human skeleton. Bone. 2015;75:144‐150. [DOI] [PubMed] [Google Scholar]
- 177. Shapiro F, Wu JY. Woven bone overview: structural classification based on its integral role in developmental, repair and pathological bone formation throughout vertebrate groups. Eur Cell Mater. 2019;38:137‐167. [DOI] [PubMed] [Google Scholar]
- 178. Marotti G. Osteocyte orientation in human lamellar bone and its relevance to the morphometry of periosteocytic lacunae. Metabol Bone Dis Relat Res. 1979;1(4):325‐333. [Google Scholar]
- 179. Marotti G, Muglia MA, Zaffe D. A SEM study of osteocyte orientation in alternately structured osteons. Bone. 1985;6(5):331‐334. [DOI] [PubMed] [Google Scholar]
- 180. Kerschnitzki M, Wagermaier W, Roschger P, et al. The organization of the osteocyte network mirrors the extracellular matrix orientation in bone. J Struct Biol. 2011;173(2):303‐311. [DOI] [PubMed] [Google Scholar]
- 181. Schurman CA, Verbruggen SW, Alliston T. Disrupted osteocyte connectivity and pericellular fluid flow in bone with aging and defective TGF-β signaling. Proc Natl Acad Sci USA. 2021;118(25):e2023999118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Li Q, Wang R, Zhang Z, et al. Sirt3 mediates the benefits of exercise on bone in aged mice. Cell Death Differ. 2023;30(1):152‐167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Rangiani A, Cao Z, Sun Y, et al. Protective roles of DMP1 in high phosphate homeostasis. PLoS One. 2012;7(8):e42329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Feng JQ, Ward LM, Liu S, et al. Loss of DMP1 causes rickets and osteomalacia and identifies a role for osteocytes in mineral metabolism. Nat Genet. 2006;38(11):1310‐1315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Yuan B, Takaiwa M, Clemens TL, et al. Aberrant phex function in osteoblasts and osteocytes alone underlies murine X-linked hypophosphatemia. J Clin Invest. 2008;118(2):722‐734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186. Kegelman CD, Coulombe JC, Jordan KM, et al. YAP and TAZ mediate osteocyte perilacunar/canalicular remodeling. J Bone Miner Res. 2020;35(1):196‐210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. Dole NS, Mazur CM, Acevedo C, et al. Osteocyte-Intrinsic TGF-β signaling regulates bone quality through perilacunar/canalicular remodeling. Cell Rep. 2017;21(9):2585‐2596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188. Inoue K, Mikuni-Takagaki Y, Oikawa K, et al. A crucial role for matrix metalloproteinase 2 in osteocytic canalicular formation and bone metabolism. J Biol Chem. 2006;281(44):33814‐33824. [DOI] [PubMed] [Google Scholar]
- 189. Holmbeck K, Bianco P, Caterina J, et al. MT1-MMP-deficient mice develop dwarfism, osteopenia, arthritis, and connective tissue disease due to inadequate collagen turnover. Cell. 1999;99(1):81‐92. [DOI] [PubMed] [Google Scholar]
- 190. Zuo G-L, Zhang L-F, Qi J, et al. Activation of HIFa pathway in mature osteoblasts disrupts the integrity of the osteocyte/canalicular network. PLoS One. 2015;10(3):e0121266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191. Zhao W, Byrne MH, Wang Y, Krane SM. Osteocyte and osteoblast apoptosis and excessive bone deposition accompany failure of collagenase cleavage of collagen. J Clin Invest. 2000;106(8):941‐949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192. Roth DM, Baddam P, Lin H, et al. The chromatin regulator Ankrd11 controls palate and cranial bone development. Front Cell Dev Biol. 2021;9:645386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Wang X, Wang S, Li C, et al. Inactivation of a novel FGF23 regulator, FAM20C, leads to hypophosphatemic rickets in mice. PLoS Genet. 2012;8(5):e1002708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194. Vrahnas C, Blank M, Dite TA, et al. Increased autophagy in EphrinB2-deficient osteocytes is associated with elevated secondary mineralization and brittle bone. Nat Commun. 2019;10(1):3436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195. Wang JS, Kamath T, Mazur CM, et al. Control of osteocyte dendrite formation by Sp7 and its target gene osteocrin. Nat Commun. 2021;12(1):6271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Muir AM, Ren Y, Butz DH, et al. Induced ablation of Bmp1 and Tll1 produces osteogenesis imperfecta in mice. Hum Mol Genet. 2014;23(12):3085‐3101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Kim HY, Yoon JY, Yun JH, et al. CXXC5 is a negative-feedback regulator of the Wnt/β-catenin pathway involved in osteoblast differentiation. Cell Death & Differ. 2015;22(6):912‐920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Gaudin-Audrain C, Gallois Y, Pascaretti-Grizon F, et al. Osteopontin is histochemically detected by the AgNOR acid-silver staining. Histol Histopathol. 2008;23(4):469‐478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199. van Tol AF, Schemenz V, Wagermaier W, et al. The mechanoresponse of bone is closely related to the osteocyte lacunocanalicular network architecture. Proc Natl Acad Sci U S A. 2020;117(51):32251‐32259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Kamioka H, Honjo T, Takano-Yamamoto T. A three-dimensional distribution of osteocyte processes revealed by the combination of confocal laser scanning microscopy and differential interference contrast microscopy. Bone. 2001;28(2):145‐149. [DOI] [PubMed] [Google Scholar]
- 201. Dallas SL, Bonewald LF. Dynamics of the transition from osteoblast to osteocyte. Ann N Y Acad Sci. 2010;1192:437‐443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202. Dallas SL, Moore DS. Using confocal imaging approaches to understand the structure and function of osteocytes and the lacunocanalicular network. Bone. 2020;138:115463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203. Mähr M, Blouin S, Behanova M, et al. Increased osteocyte Lacunae density in the hypermineralized bone matrix of children with osteogenesis Imperfecta type I. Int J Mol Sci. 2021;22(9):4508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204. Blouin S, Fratzl-Zelman N, Glorieux FH, et al. Hypermineralization and high osteocyte lacunar density in osteogenesis Imperfecta type V bone indicate exuberant primary bone formation. J Bone Miner Res. 2017;32(9):1884‐1892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205. Martínez-Glez V, Valencia M, Caparrós-Martín JA, et al. Identification of a mutation causing deficient BMP1/mTLD proteolytic activity in autosomal recessive osteogenesis imperfecta. Hum Mutat. 2012;33(2):343‐350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Hoyer-Kuhn H, Semler O, Schoenau E, Roschger P, Klaushofer K, Rauch F. Hyperosteoidosis and hypermineralization in the same bone: bone tissue analyses in a boy with a homozygous BMP1 mutation. Calcif Tissue Int. 2013;93(6):565‐570. [DOI] [PubMed] [Google Scholar]
- 207. Goldsweig BK, Carpenter TO. Hypophosphatemic rickets: lessons from disrupted FGF23 control of phosphorus homeostasis. Curr Osteoporos Rep. 2015;13(2):88‐97. [DOI] [PubMed] [Google Scholar]
- 208. Hofbauer LC, Busse B, Eastell R, et al. Bone fragility in diabetes: novel concepts and clinical implications. Lancet Diabet Endocrinol. 2022;10(3):207‐220. [DOI] [PubMed] [Google Scholar]
- 209. Hruska KA, Seifert M, Sugatani T. Pathophysiology of the chronic kidney disease-mineral bone disorder. Curr Opin Nephrol Hypertens. 2015;24(4):303‐309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Walker MD, Silverberg SJ. Primary hyperparathyroidism. Nat Rev Endocrinol. 2018;14(2):115‐125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. Homayun-Sepehr N, McCarter AL, Helaers R, et al. KRAS-driven model of gorham-stout disease effectively treated with trametinib. JCI Insight. 2021;6(15):e149831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Nickolas TL, Stein EM, Dworakowski E, et al. Rapid cortical bone loss in patients with chronic kidney disease. J Bone Miner Res. 2013;28(8):1811‐1820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213. Sharma AK, Toussaint ND, Masterson R, et al. Deterioration of cortical bone microarchitecture: critical component of renal osteodystrophy evaluation. Am J Nephrol. 2018;47(6):376‐384. [DOI] [PubMed] [Google Scholar]
- 214. Habas E S, Eledrisi M, Khan F, Elzouki AY. Secondary hyperparathyroidism in chronic kidney disease: pathophysiology and management. Cureus. 2021;13(7):e16388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215. Wang Y, Liu J. Severe bone disease caused by primary hyperparathyroidism: a case report and review of the literature. J Int Med Res. 2020;48(10):0300060520966484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216. Bandeira F, Cusano NE, Silva BC, et al. Bone disease in primary hyperparathyroidism. Arq Bras Endocrinol Metabol. 2014;58(5):553‐561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Ma YL, Cain RL, Halladay DL, et al. Catabolic effects of continuous human PTH (1–38) in vivo is associated with sustained stimulation of RANKL and inhibition of osteoprotegerin and gene-associated bone formation. Endocrinology. 2001;142(9):4047‐4054. [DOI] [PubMed] [Google Scholar]
- 218. Sun M, Fink PJ. A new class of reverse signaling costimulators belongs to the TNF family. J Immunol. 2007;179(7):4307‐4312. [DOI] [PubMed] [Google Scholar]
- 219. Silva BC, Bilezikian JP. Parathyroid hormone: anabolic and catabolic actions on the skeleton. Curr Opin Pharmacol. 2015;22:41‐50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220. Huang JC, Sakata T, Pfleger LL, et al. PTH differentially regulates expression of RANKL and OPG. J Bone Miner Res. 2004;19(2):235‐244. [DOI] [PubMed] [Google Scholar]
- 221. Fermor B, Skerry TM. PTH/PTHrP receptor expression on osteoblasts and osteocytes but not resorbing bone surfaces in growing rats. J Bone Miner Res. 1995;10(12):1935‐1943. [DOI] [PubMed] [Google Scholar]
- 222. Hofbauer LC, Heufelder AE. Role of receptor activator of nuclear factor-kappaB ligand and osteoprotegerin in bone cell biology. J Mol Med. 2001;79(5-6):243‐253. [DOI] [PubMed] [Google Scholar]
- 223. Prisby R, Menezes T, Campbell J. Vasodilation to PTH (1-84) in bone arteries is dependent upon the vascular endothelium and is mediated partially via VEGF signaling. Bone. 2013;54(1):68‐75. [DOI] [PubMed] [Google Scholar]
- 224. Wakamatsu E, Sissons HA. The cancellous bone of the iliac crest. Calcif Tissue Res. 1969;4(2):147‐161. [DOI] [PubMed] [Google Scholar]
- 225. Vedi S, Compston J, Webb A, Tighe J. Histomorphometric analysis of dynamic parameters of trabecular bone formation in the iliac crest of normal British subjects. Metabol Bone Dis Relat Res. 1983;5(2):69‐74. [DOI] [PubMed] [Google Scholar]
- 226. Compston JE, Mellish RW, Garrahan NJ. Age-related changes in iliac crest trabecular microanatomic bone structure in man. Bone. 1987;8(5):289‐292. [DOI] [PubMed] [Google Scholar]
- 227. Lips P, Courpron P, Meunier PJ. Mean wall thickness of trabecular bone packets in the human iliac crest: changes with age. Calcif Tissue Res. 1978;26(1):13‐17. [DOI] [PubMed] [Google Scholar]
- 228. Khosla S, Riggs BL, Atkinson EJ, et al. Effects of sex and age on bone microstructure at the ultradistal radius: a population-based noninvasive in vivo assessment. J Bone Miner Res. 2006;21(1):124‐131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Halloran BP, Ferguson VL, Simske SJ, Burghardt A, Venton LL, Majumdar S. Changes in bone structure and mass with advancing age in the male C57BL/6J mouse. J Bone Miner Res. 2002;17(6):1044‐1050. [DOI] [PubMed] [Google Scholar]
- 230. Feik SA, Thomas CD, Clement JG. Age-related changes in cortical porosity of the midshaft of the human femur. J Anat. 1997;191(Pt 3):407‐416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231. Zebaze RM, Ghasem-Zadeh A, Bohte A, et al. Intracortical remodelling and porosity in the distal radius and post-mortem femurs of women: a cross-sectional study. Lancet. 2010;375(9727):1729‐1736. [DOI] [PubMed] [Google Scholar]
- 232. Bell KL, Loveridge N, Power J, et al. Structure of the femoral neck in hip fracture: cortical bone loss in the inferoanterior to superoposterior axis. J Bone Miner Res. 1999;14(1):111‐119. [DOI] [PubMed] [Google Scholar]
- 233. Kiebzak GM, Smith R, Gundberg CC, Howe JC, Sacktor B. Bone status of senescent male rats: chemical, morphometric, and mechanical analysis. J Bone Miner Res. 1988;3(1):37‐45. [DOI] [PubMed] [Google Scholar]
- 234. Yuan R, Tsaih S-W, Petkova SB, et al. Aging in inbred strains of mice: study design and interim report on median lifespans and circulating IGF1 levels. Aging Cell. 2009;8(3):277‐287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235. Perilli E, Bala Y, Zebaze R, Reynolds KJ, Seeman E. Regional heterogeneity in the configuration of the intracortical canals of the femoral shaft. Calcif Tissue Int. 2015;97(4):327‐335. [DOI] [PubMed] [Google Scholar]
- 236. Boughton OR, Ma S, Cai X, et al. Computed tomography porosity and spherical indentation for determining cortical bone millimetre-scale mechanical properties. Sci Rep. 2019;9(1):7416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237. Bousson V, Meunier A, Bergot C, et al. Distribution of intracortical porosity in human midfemoral cortex by age and gender. J Bone Miner Res. 2001;16(7):1308‐1317. [DOI] [PubMed] [Google Scholar]
- 238. Cooper DM, Thomas CD, Clement JG, Hallgrimsson B. Three-dimensional microcomputed tomography imaging of basic multicellular unit-related resorption spaces in human cortical bone. Anat Rec A Discov Mol Cell Evol Biol. 2006;288(7):806‐816. [DOI] [PubMed] [Google Scholar]
- 239. Andreasen CM, Delaisse JM, van der Eerden BCJ, van Leeuwen J, Ding M, Andersen TL. Understanding age-induced cortical porosity in women: is a negative BMU balance in quiescent osteons a major contributor? Bone. 2018;117:70‐82. [DOI] [PubMed] [Google Scholar]
- 240. Andreasen CM, Delaisse JM, van der Eerden BC, van Leeuwen JP, Ding M, Andersen TL. Understanding age-induced cortical porosity in women: the accumulation and coalescence of eroded cavities upon existing intracortical canals is the main contributor. J Bone Miner Res. 2018;33(4):606‐620. [DOI] [PubMed] [Google Scholar]
- 241. Dunstan CR, Somers NM, Evans RA. Osteocyte death and hip fracture. Calcif Tissue Int. 1993;53(Suppl 1):S113‐S116. discussion S116-117. [DOI] [PubMed] [Google Scholar]
- 242. Ashique AM, Hart LS, Thomas CDL, et al. Lacunar-canalicular network in femoral cortical bone is reduced in aged women and is predominantly due to a loss of canalicular porosity. Bone Rep. 2017;7:9‐16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243. Hunter RL, Agnew AM. Intraskeletal variation in human cortical osteocyte lacunar density: implications for bone quality assessment. Bone Rep. 2016;5:252‐261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244. Busse B, Djonic D, Milovanovic P, et al. Decrease in the osteocyte lacunar density accompanied by hypermineralized lacunar occlusion reveals failure and delay of remodeling in aged human bone. Aging Cell. 2010;9(6):1065‐1075. [DOI] [PubMed] [Google Scholar]
- 245. Carter Y, Thomas CDL, Clement JG, Peele AG, Hannah K, Cooper DML. Variation in osteocyte lacunar morphology and density in the human femur — a synchrotron radiation micro-CT study. Bone. 2013;52(1):126‐132. [DOI] [PubMed] [Google Scholar]
- 246. Blank M, Sims NA. Cellular processes by which osteoblasts and osteocytes control bone mineral deposition and maturation revealed by stage-specific EphrinB2 knockdown. Curr Osteoporos Rep. 2019;17(5):270‐280. [DOI] [PubMed] [Google Scholar]
- 247. Fuchs RK, Allen MR, Ruppel ME, et al. In situ examination of the time-course for secondary mineralization of Haversian bone using synchrotron Fourier transform infrared microspectroscopy. Matrix Biol. 2008;27(1):34‐41. [DOI] [PubMed] [Google Scholar]
- 248. Paschalis EP, DiCarlo E, Betts F, Sherman P, Mendelsohn R, Boskey AL. FTIR microspectroscopic analysis of human osteonal bone. Calcif Tissue Int. 1996;59(6):480‐487. [DOI] [PubMed] [Google Scholar]
- 249. Gourion-Arsiquaud S, Burket JC, Havill LM, et al. Spatial variation in osteonal bone properties relative to tissue and animal age. J Bone Miner Res. 2009;24(7):1271‐1281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250. Vrahnas C, Buenzli PR, Pearson TA, et al. Differing effects of parathyroid hormone, alendronate, and odanacatib on bone formation and on the mineralization process in intracortical and endocortical bone of ovariectomized rabbits. Calcif Tissue Int. 2018;103(6):625‐637. [DOI] [PubMed] [Google Scholar]
- 251. Vrahnas C, Pearson TA, Brunt AR, et al. Anabolic action of parathyroid hormone (PTH) does not compromise bone matrix mineral composition or maturation. Bone. 2016;93:146‐154. [DOI] [PubMed] [Google Scholar]
- 252. Blank M, McGregor NE, Rowley L, et al. The effect of carbamazepine on bone structure and strength in control and osteogenesis imperfecta (Col1a2 (+/p.G610C)) mice. J Cell Mol Med. 2022;26(14):4021‐4031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253. Burket J, Gourion-Arsiquaud S, Havill LM, Baker SP, Boskey AL, van der Meulen MC. Microstructure and nanomechanical properties in osteons relate to tissue and animal age. J Biomech. 2011;44(2):277‐284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 254. Boskey AL, Donnelly E, Boskey E, et al. Examining the relationships between bone tissue composition, compositional heterogeneity, and fragility fracture: a matched case-controlled FTIRI study. J Bone Miner Res. 2016;31(5):1070‐1081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255. Gourion-Arsiquaud S, Faibish D, Myers E, et al. Use of FTIR spectroscopic imaging to identify parameters associated with fragility fracture. J Bone Miner Res. 2009;24(9):1565‐1571. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256. Farlay D, Bala Y, Rizzo S, et al. Bone remodeling and bone matrix quality before and after menopause in healthy women. Bone. 2019;128:115030. [DOI] [PubMed] [Google Scholar]
- 257. Seeman E. Pathogenesis of bone fragility in women and men. Lancet. 2002;359(9320):1841‐1850. [DOI] [PubMed] [Google Scholar]
- 258. Seeman E. Age- and menopause-related bone loss compromise cortical and trabecular microstructure. J Gerontol A Biol Sci Med Sci. 2013;68(10):1218‐1225. [DOI] [PubMed] [Google Scholar]
- 259. Boivin G, Farlay D, Bala Y, Doublier A, Meunier PJ, Delmas PD. Influence of remodeling on the mineralization of bone tissue. Osteoporos Int. 2009;20(6):1023‐1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 260. Kilkenny C, Browne WJ, Cuthill IC, Emerson M, Altman DG. Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research. PLoS Biol. 2010;8(6):e1000412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261. Brooks HL, Pollow DP, Hoyer PB. The VCD mouse model of menopause and perimenopause for the study of sex differences in cardiovascular disease and the metabolic syndrome. Physiology (Bethesda). 2016;31(4):250‐257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262. Wright LE, Christian PJ, Rivera Z, et al. Comparison of skeletal effects of ovariectomy versus chemically induced ovarian failure in mice. J Bone Miner Res. 2008;23(8):1296‐1303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263. Sinha P, Aarnisalo P, Chubb R, et al. Loss of Gsα in the postnatal Skeleton leads to low bone mass and a blunted response to anabolic parathyroid hormone therapy. J Biol Chem. 2016;291(4):1631‐1642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264. Sharma A, Michels LV, Pitsillides AA, et al. Sexing bones: improving transparency of sex reporting to address bias within preclinical studies. J Bone Miner Res. 2023;38(1):5‐13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265. Sims NA, Jenkins BJ, Quinn JM, et al. Glycoprotein 130 regulates bone turnover and bone size by distinct downstream signaling pathways. J Clin Invest. 2004;113(3):379‐389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266. Bouxsein ML, Boyd SK, Christiansen BA, Guldberg RE, Jepsen KJ, Müller R. Guidelines for assessment of bone microstructure in rodents using micro–computed tomography. J Bone Miner Res. 2010;25(7):1468‐1486. [DOI] [PubMed] [Google Scholar]
- 267. Ansari N, Isojima T, Crimeen-Irwin B, et al. Dmp1Cre-directed knockdown of parathyroid hormone–related protein (PTHrP) in murine decidua is associated with a life-long increase in bone mass, width, and strength in male progeny. J Bone Miner Res. 2021;36(10):1999‐2016. [DOI] [PubMed] [Google Scholar]
- 268. Johnson RW, Brennan HJ, Vrahnas C, et al. The primary function of gp130 signaling in osteoblasts is to maintain bone formation and strength, rather than promote osteoclast formation. J Bone Miner Res. 2014;29(6):1492‐1505. [DOI] [PubMed] [Google Scholar]
- 269. Price C, Herman BC, Lufkin T, Goldman HM, Jepsen KJ. Genetic variation in bone growth patterns defines adult mouse bone fragility. J Bone Miner Res. 2005;20(11):1983‐1991. [DOI] [PubMed] [Google Scholar]
- 270. Walker EC, McGregor NE, Chan ASM, Sims NA. Measuring bone volume at multiple densities by micro-computed tomography. Bio Protoc. 2021;11(1):e3873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271. Ryan BA, McGregor NE, Kirby BJ, et al. Calcitriol-Dependent and -independent regulation of intestinal calcium absorption, osteoblast function, and skeletal mineralization during lactation and recovery in mice. J Bone Miner Res. 2022;37(12):2483‐2497. [DOI] [PubMed] [Google Scholar]
- 272. Lelovas PP, Xanthos TT, Thoma SE, Lyritis GP, Dontas IA. The laboratory rat as an animal model for osteoporosis research. Comp Med. 2008;58(5):424‐430. [PMC free article] [PubMed] [Google Scholar]
- 273. Mosekilde L, Danielsen CC, Knudsen UB. The effect of aging and ovariectomy on the vertebral bone mass and biomechanical properties of mature rats. Bone. 1993;14(1):1‐6. [DOI] [PubMed] [Google Scholar]
- 274. Yamane H, Sakai A, Mori T, Tanaka S, Moridera K, Nakamura T. The anabolic action of intermittent PTH in combination with cathepsin K Inhibitor or alendronate differs depending on the remodeling status in bone in ovariectomized mice. Bone. 2009;44(6):1055‐1062. [DOI] [PubMed] [Google Scholar]
- 275. Alekos NS, Kushwaha P, Kim SP, et al. Mitochondrial β-oxidation of adipose-derived fatty acids by osteoblasts fuels parathyroid hormone–induced bone formation. JCI Insight. 2023;8(6):e165604. [DOI] [PMC free article] [PubMed] [Google Scholar]