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J. Biol. Chem., Vol. 283, Issue 9, 5866-5875, February 29, 2008
Mechanical Stimulation of Bone in Vivo Reduces Osteocyte Expression of Sost/Sclerostin*![]() 1![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]()
From the
Received for publication, June 21, 2007 , and in revised form, November 19, 2007.
Sclerostin, the protein product of the Sost gene, is a potent inhibitor of bone formation. Among bone cells, sclerostin is found nearly exclusively in the osteocytes, the cell type that historically has been implicated in sensing and initiating mechanical signaling. The recent discovery of the antagonistic effects of sclerostin on Lrp5 receptor signaling, a crucial mediator of skeletal mechanotransduction, provides a potential mechanism for the osteocytes to control mechanotransduction, by adjusting their sclerostin (Wnt inhibitory) signal output to modulate Wnt signaling in the effector cell population. We investigated the mechanoregulation of Sost and sclerostin under enhanced (ulnar loading) and reduced (hindlimb unloading) loading conditions. Sost transcripts and sclerostin protein levels were dramatically reduced by ulnar loading. Portions of the ulnar cortex receiving a greater strain stimulus were associated with a greater reduction in Sost staining intensity and sclerostin-positive osteocytes (revealed via in situ hybridization and immunohistochemistry, respectively) than were lower strain portions of the tissue. Hindlimb unloading yielded a significant increase in Sost expression in the tibia. Modulation of sclerostin levels appears to be a finely tuned mechanism by which osteocytes coordinate regional and local osteogenesis in response to increased mechanical stimulation, perhaps via releasing the local inhibition of Wnt/Lrp5 signaling.
Low bone mass and poor bone structure are two major risk factors for osteoporotic fracture (1, 2). A simple yet effective means to enhance bone mass and architecture is through mechanical stimulation of the resident bone cell population (3, 4). Mechanical loading (e.g. exercise) improves bone mass and strength by stimulating the addition of new bone onto surfaces experiencing high strains, whereas surfaces that experience small strains largely remain quiescent. This phenomenon occurs both across the skeleton (limb bones adapt to locomotive loading, whereas nonbearing bones (e.g. skull) do not) and within a loaded bone (tension/compression surfaces undergo bone formation, whereas surfaces straddling the neutral bending axis do not). The cellular mechanisms involved in directing new bone formation to the high strain regions of a loaded bone are unclear, but elucidation of these mechanisms would provide an attractive target for pharmaceutical intervention aimed at mimicking the adaptive response to loading (5). Despite these gaps in our understanding, significant progress has been made in delineating some of the basic mechanisms of mechanotransduction in bone, in large part because of the creation of genetically engineered mice. A key finding in this arena is the requirement for Wnt signaling through Lrp5 (the low density lipoprotein receptor-related protein 5) in mechanically induced bone formation. We reported recently that mice engineered with a loss-of-function mutation in Lrp5 recapitulate the low bone mass phenotype observed in humans with inactivating mutations of LRP5 but, perhaps more importantly, were nearly completely unable to respond anabolically to mechanical stimulation (6). These data suggest that Wnt/Lrp5 signaling is an integral part of the mechanotransduction cascade in normal bone tissue (7), and from these observations an obvious question emerges: how does mechanical stimulation enhance Lrp5 signaling? Potential explanations include enhanced agonism of Lrp5 signaling (e.g. enhanced Wnt secretion), reduced antagonism of Lrp5 signaling (e.g. reduced dickkopf homolog 1 (Dkk1) levels, reduced secreted frizzled-related protein (sFrp) levels), or both. Sclerostin, the protein product of the SOST gene, is an osteocyte-specific cysteine knot-secreted glycoprotein that is a potent inhibitor of bone formation. Mutations in the SOST gene, or in its distant regulatory elements, cause sclerosing bone disorders such as sclerosteosis and Van Buchem disease (8-10). Patients with SOST mutations exhibit very high bone mass in the appendicular and axial skeleton (11, 12). Sclerostin was originally characterized as a Bmp (bone morphogenic protein) antagonist because of its sequence homology to other members of the DAN family of cysteine knot proteins, but more recently it has been shown to bind Lrp5/6 with high affinity (13-15). Consequently, sclerostin presents an attractive candidate for regulating mechanically induced signaling through the Lrp5 receptor. Furthermore, sclerostin expression in adult bone is limited to osteocytes (16, 17), which have long been postulated as the "mechanosensor" in bone (18, 19). The osteocyte population density, distribution, and extensive communication networks within bone make these cells ideal mechanosensors in the adaptive process of bone. Despite these attributes, very little data have been generated that implicate the osteocyte network as the primary mechanosensory cell type, to the exclusion of the other cell types (e.g. osteoblasts, bone lining cells). The discovery of a mechanically modulated osteocyte-specific factor, particularly a secreted factor that had the propensity to reach effector cell populations (osteoblasts), with known effects on a crucial mechanotransduction signaling pathway (Wnt/Lrp5), would provide a long sought-after molecular basis for osteocytic reception, initiation, and spatial control of mechanotransduction.
We investigated the regulation of Sost/sclerostin by the mechanical environment using two different rodent models of mechanotransduction: one for enhanced loading (axial ulnar loading) and one for reduced loading (hindlimb unloading). Ulnar loading in rodents induces a consistent pattern of bone deformation (i.e. strain) both along the bone axis and cross-sectionally at the midshaft. We hypothesized that enhanced loading would reduce Sost transcripts and sclerostin protein levels, particularly in the high strain regions of the tissue where enhanced bone formation is maximal. We further hypothesized that hindlimb unloading would increase Sost/sclerostin levels in the unloaded limbs. Our results indicate that sclerostin protein levels were reduced dramatically by ulnar loading. Portions of the ulnar cortex receiving a greater strain stimulus were associated with a greater reduction in the proportion of sclerostin-positive osteocytes. The load-induced reduction in sclerostin levels could be partially explained by a reduction in Sost transcript levels. Conversely, hindlimb unloading, a model of disuse mechanotransduction, yielded an increase in Sost transcript levels in the tibia. Modulation of sclerostin levels appears to be a finely tuned mechanism by which osteocytes coordinate regional and local osteogenesis in response to increased mechanical stimulation, perhaps via releasing the local inhibition of Wnt/Lrp5 signaling.
Animals—18-week-old C57Bl/6J male mice and 6-month-old virgin female Lewis rats were used for the ulnar loading studies. The unloading studies were performed in 6-week-old male C57Bl/6J mice. The mice were purchased from Jackson Labs, and the rats were purchased from Harlan, Inc. The animals were housed at the Indiana University Animal Care Facility until the proper age for each experiment was reached. Standard rodent chow and water were provided ad libitum. All of the procedures performed in the experiments were in accordance with the Institutional Animal Care and Use Committee guidelines.
In Vivo Ulnar Loading—Under isoflurane-induced anesthesia, the right forearms of mice and rats were loaded for 360 cycles/day (2 Hz). The mice used for immunolocalization of sclerostin were loaded for 2 consecutive days and then sacrificed on day 3. The rats and mice used for RNA analysis (in situ hybridization and quantitative PCR) were loaded for a single session (1 day) and sacrificed 24 h later. Loading was conducted on a customized electromagnetic actuator at peak force of 2.7 newtons for mice and 17 newtons for rats, which generates In Vivo Tail Suspension—To achieve a disuse environment, 6-week-old male mice were outfitted with tail harnesses and suspended from an overhead pulley system in customized cages. The mice can ambulate within the cage using their forelimbs, which remain in contact with the cage floor, but their hindlimbs remain suspended in air and consequently cannot generate ground reaction forces (Fig. 1B). Food and water were provided on the cage floor. The mice were suspended for 72 h, after which they were sacrificed, and their hindlimbs were processed for immunohistochemistry or RNA isolation (see below).
Immunohistochemistry—Minimally dissected mouse ulnae with attached radii were fixed in 4% phosphate-buffered formalin for 48 h at 4 °C and then decalcified in a 2.3:1 mixture of 10% EDTA and 4% phosphate-buffered formalin for 10 days. Following decalcification, the right and left ulna/radius from each animal were bundled together with suture so that the right and left ulnae were properly aligned. The ulna bundles were infiltrated and then embedded in paraffin, with six to eight right-left ulna bundles to a block. Sections were taken from the blocks at the ulnar midshaft, 3 mm distal to midshaft, and 3 mm proximal to midshaft, at 8 µm thickness. Tibiae from the tail-suspended and ground control mice were sectioned at the tibiofibular junction. The sections were dried, deparaffinized, reacted for endogenous peroxidase activity, blocked, and incubated in anti-sclerostin primary antibody (R & D Systems). Secondary antibody labeling and detection were accomplished using the Vectastain Elite ABC kit (Vector Labs, Inc.) with diaminobenzidine as the chromogen. The immunolabeled sections were counterstained with methyl green or left without counterstain and then coverslipped.
The immunolabeled sections were photographed using 20x objective and imported into Image-Pro (MediaCybernetics, Inc.) analysis software for quantification. The number of sclerostin positive (Sclr+) osteocytes, defined as those osteocyte cell bodies exhibiting brown staining (Fig. 2), and the number of sclerostin-negative (Sclr-) osteocytes, defined as those osteocyte cell bodies exhibiting (methyl) green staining, were counted on each section. The percentage of sclerostin-positive cells (Sclr+) was calculated as the number of Sclr+ cells divided by the total number of cells (Sclr+ plus Sclr-). The load-induced change in the ulna samples was calculated for each animal as the percentage of Sclr+ cells in the right (loaded) sections minus the percentage of Sclr+ cells in the left (nonloaded control) section. Changes in sclerostin levels along the bone shaft were measured at the three section locations specified above (-3 mm, midshaft, and +3 mm) by quantifying and pooling all of the osteocytes within a section, regardless of their relation to the bending axis. For regional analysis within the ulnar midshaft cortex, each section was divided into three regions, corresponding to high, moderate, and low peak strain values during ulnar loading. To this end, two parallel lines were superimposed on each section, parallel to the neutral bending axis, and the cell counts were tallied separately within each region. The two lines were positioned at roughly ±1200 µ
Histomorphometry—From the mice that received calcein and alizarin to monitor load induced bone formation, ulnae were cleaned of soft tissue, fixed in 10% neutral buffered formalin for 48 h, dehydrated in graded alcohols, cleared in xylene, and embedded in methyl methacrylate (Aldrich). Using a diamond-embedded wire saw (Histo-saw; Delaware Diamond Knives, Wilmington, DE), transverse thick sections ( The sections were photographed on a Nikon Optiphot fluorescence microscope (Nikon, Inc., Garden City, NJ) and imported into Image-Pro (MediaCybernetics, Inc.) analysis software for quantification. The following primary data were collected from the periosteal surface: total perimeter, single label perimeter, double label perimeter measured along the first label, and double label area. From these primary data, we calculated bone formation rates per unit of bone surface (BFR/BS) using standardized protocols (22). To quantify load-induced changes in bone formation rates along the bone length (which is associated with a gradient in peak strains), histomorphometric measurements were collected at three section locations specified above (-3 mm, midshaft, and +3 mm). These three locations correspond to low, medium, and high strains during ulnar loading (21). The fluorochrome-labeled midshaft ulnar sections were also subjected to cross-sectional regional analysis (three regions: high, moderate, and low strain) of BFR/BS, as described for the immunolabeled midshaft sections. Load-induced bone formation was calculated for each animal/section/region by subtracting left ulna (nonloaded control) values from right ulna values; this procedure results in a relative (r) bone formation rate (rBFR/BS). In Situ Hybridization—Sost antisense and sense RNA probes used for hybridization were prepared from an EcoRI- and NotI-linearized T7T3Pac DMP1subclone and transcribed in vitro in the presence of digoxigenin-U-NTP mixture with T3 and T7 polymerase, respectively. The in situ hybridization was performed using a modification of the procedure described by Wilkinson and Nieto (23). Prior to hybridization, the sections were deparaffinized with xylene and 100% ethanol following rehydration. After treatment with proteinase K solution (proteinase K, 5 mg/ml in 50 mM Tris, 5 mM EDTA, pH 7.6) for 10 min at 37 °C, the sections were refixed in 4% formaldehyde in phosphate-buffered saline (0.2 M phosphate buffer, 3 M NaCl), acetylated (100 mM triethanolamine, 0.25% acetic anhydride), and prehybridized in 2x SSC. Hybridization was performed at 55 °C overnight in the hybridization solution (50% formamide, 20 mM Tris-HCl, pH 8.0, 1 mM EDTA, 0.3 M NaCl, 10% dextran sulfate, 1x Denhardt's solution, 100 µg/ml denatured Salmon Sperm-DNA, 500 µ/ml tRNA) and 1 µg/ml DMP1 UTP-digoxigenin labeled RNA probe. After hybridization, the coverslips were removed in 5x SSC at room temperature, and sections were washed once in 5x SSC and twice in washing solution I (50% formamide, 5x SSC, 1%SDS) at 55 °C for 30 min each. The sections were incubated with RNase (40 mg/ml RNase A1 and 10 units/ml RNase T1) in washing solution II (0.3 M NaCl, 10 mM Tris, 5 mM EDTA) at 37 °C for 1 h, followed by incubation in the washing solution II without RNase for 30 min. Consecutive washes at 55 °C were done twice with washing solution III (50% formamide, 2x SSC) for 30 min each and then three times 5 min each at room temperature in TBS-T (100 mM Tris, pH 7.5, 150 mM NaCl, 0.1% Tween 20, 2 mM levamisole) and one time at room temperature in blocking mix (100 mM maleic acid, 150 mM NaCl, 1% blocking reagent). Antibody to digoxigenin (alkaline phosphatase conjugated) was diluted 1:25 in blocking mix and was added after post-hybridization washing and blocking for overnight incubation at 4 °C. Next day, the sections were washed using TBS-T for 5 min, wash buffer (100 mM maleic acid, 150 mM NaCl, 0.1% Tween 20, 2 mM levamisole) twice for 15 min and predetection buffer (100 mM Tris, pH 9, 100 mM NaCl, 2 mM levamisole) for 5 min. Detection of hybridization signal was done by adding alkaline phosphatase substrate (nitro blue tetrazolium/5-bromo-4-chloro-indolyl-phosphate, toluidine salt) in detection buffer (10% polyvinyl alcohol (10% polyvinyl alcohol with molecular mass of 70-100 kDa), 100 mM Tris, pH 9.0, 100 mM NaCl, 2 mM levamisole) overnight at 30 °C. When detection of hybridization signal was completed, the sections were washed in water three times (5 min/wash), counterstained with eosin for 5 s, and dehydrated in ethanol. Finally, the slides were in xylene and mounted with coverslips using a nonaqueous permount reagent. The dark purple hybridization signal in the osteocytes was quantitated for intensity using Image J. Average expression was determined at 3 mm proximal to the midshaft, at the midshaft, and at 3 mm distal to the midshaft, by analyzing 50-80 osteocytes/section. In the midshaft sections, Sost staining intensity was quantified in the three strain regions (high, medium, and low) as described for the immunolabeled sections. RNA Extraction and Quantitative PCR—Snap frozen rat ulnar diaphyses (central 75% of the bone) and whole mouse tibiae (from tail-suspended mice) were pulverized in liquid N2 using a mortar and pestle. The bone powder was suspended in TRIzol (Invitrogen) and centrifuged for 5 min at 4 °C to pellet the bone grit. From the supernatant, total RNA was isolated and resuspended in H2O according to the manufacturer's instructions. 1 µg of total RNA from each sample was reverse transcribed using the Superscript II kit with oligo(dT) primers (Invitrogen). From the resulting cDNA, portions of the Sost, Dkk1, sFrp, and β-actin sequences were amplified using Taqman Assay-on-Demand gene expression assay kits (Applied Biosystems, Inc.). Serial dilutions of one of the samples were amplified for each gene to calculate relative expression levels, which were then standardized to β-actin expression to facilitate comparison among samples. The reactions were performed on an ABI Prism 7000 sequence detection system.
Statistical Methods—The data were analyzed using nonparametric statistics to avoid assumptions of normality. Trends across strain magnitudes, both within and along the diaphysis, were analyzed for association using Spearman's rs. Within group (loaded versus nonloaded) comparisons were executed using the Wilcoxon signed rank test. For all tests, the level of significance was set at
Mechanical Loading Reduces Sclerostin, Particularly in High Strain Regions of the Bone—To investigate the cellular mechanisms involved in load-enhanced Wnt signaling through Lrp5, we probed tissue sections from loaded and control mouse ulnae for sclerostin (Fig. 2). The mice underwent brief ulnar loading sessions for 2 consecutive days and then were sacrificed on day 3. Quantification of the number of Sclr+ osteocytes in the ulnar cortex revealed a dramatic load-induced decrease in the number of Sclr+ osteocyte cell bodies but also in the degree of sclerostin staining within the canalicular network (Fig. 2). Sections from the proximal portion of the ulnar diaphysis, which experiences relatively small peak strains during ulnar loading, exhibited a modest ( 15%) reduction in Sclr+ cells, whereas sections from the distal diaphysis, which experiences relatively large peak strains during loading, showed a 60% reduction in Sclr+ cells (Fig. 3B). Sections from the midshaft, which experiences intermediate strains during loading, yielded an intermediate reduction in Sclr+ cells ( 30% decrease). The strain dose-responsive reduction in Sclr+ cells along the diaphysis corresponded to the strain dose-responsive increase in bone formation rates after loading (Fig. 3A; p = 0.002). In these experiments, the mice received ulna loading, were given fluorochrome labels 4 and 10 days afterward, and then euthanized on day 17. Quantification of bone formation rates in the loaded and control ulnae revealed small gains in load-induced bone formation proximally, moderate gains at midshaft, and large gains distally. Thus, the diaphyseal locations that underwent only modest increases in peak strains as a result of loading were associated with a small reduction in Sclr+ cells and a small increase in bone formation rates. Conversely, diaphyseal locations that underwent large increases in peak strains as a result of loading were associated with a large reduction in Sclr+ cells and a large increase in bone formation rates. We further probed the effect of mechanical strain on Sclr expression and bone formation by measuring the load-induced changes in Sclr+ cells and bone formation rates across the midshaft ulnar cortex. The ulnar axial loading model induces mediolateral bending at midshaft, with a superimposed axial compressive element that results in greater compressive than tensile strains. We took advantage of the unequal distribution of strains by dividing the cortex into a high strain region (compressive, medial portion), a moderate strain region (lateral, tensile portion), and a low strain region (central portion, straddling the neutral bending axis). Quantification of the number of Sclr+ osteocytes in those three cross-sectional regions also revealed a strain dose-responsive reduction (p = 0.027) in Sclr+ cells and a concomitant strain dose-responsive increase (p < 0.001) in bone formation rates in those same three regions (Fig. 4, left and center panels).
Mechanical Loading Reduces Sost Expression, Particularly in High Strain Regions of the Bone—The observed load-induced reduction in sclerostin protein levels prompted us to explore whether the changes were transcriptionally regulated and whether other Wnt inhibitory transcripts were affected by loading. We measured mRNA levels of Sost, as well as two more Wnt inhibitors, Dkk1 and sFrp1, in loaded and control rat ulnar diaphyses 24 h after loading, using real time PCR. Mechanical loading reduced Sost mRNA levels by 73% (Fig. 5A). Dkk1 transcripts were also reduced significantly by loading, albeit to a lesser degree than Sost, reaching a 49% decrease induced by loading (Fig. 5B). sFrp1 expression was unchanged by loading (Fig. 5C). We further characterized the load-induced reduction in Sost expression by probing mouse ulnar tissue sections for Sost, using in situ hybridization, 24 h after a loading session. We quantified the level of Sost hybridization signal in 50-80 independent osteocytes at three diaphyseal locations that differed in the peak strain magnitudes endured during loading. As shown in Fig. 3C, loading induced a 24% reduction in sclerostin expression in the proximal location (p < 0.001) and a 37-51% reduction in the midshaft and distal regions (p < 0.001). We also analyzed Sost expression/osteocyte in more detail in the midshaft region. There was a greater reduction in Sost expression/osteocyte in the medial regions (high strain) than in the neutral axis (low strain) region or the lateral region (moderate strain) (Fig. 4, right panels). These data suggest that the mechanical loading response of the Sost gene is in part at the transcriptional level and correlates to mechanical strain magnitude. The gene expression pattern of Sost at midshaft is very similar to the sclerostin pattern revealed by immunohistochemistry. Reduction in Mechanical Loading (Disuse) Has No Effect on Sclerostin Levels—Our observation that enhanced loading results in a loss of sclerostin protein led us to determine whether the opposite is true, i.e. does reduced loading result in increased sclerostin levels? We suspended growing male mice by their tails for 3 or 7 days and then processed their tibiae for immunodetection of Sclr as described for loaded ulnar sections or for RNA extraction and subsequent quantitative PCR for Sost, Dkk1, and sFrp1 transcripts. We were unable to detect a difference histologically between the percentage of Sclr+ osteocytes in the immunolabeled tibial sections from hindlimb suspended mice versus ground control mice at either time point (Fig. 6). We did, however, detect a significant increase in Sost transcript levels at day 3 of tail suspension, which had subsided to a nonsignificant level by day 7 (Fig. 6). Dkk1 transcript levels increased slightly at day 3 of tail suspension, but significance could not be reached (p = 0.08). sFrp1 transcript levels increased slightly at day 7 of tail suspension, but significance could not be reached (p = 0.09).
Our main objective in this study was to determine whether the Wnt inhibitory protein sclerostin was regulated by mechanical stimulation. Our results indicate that sclerostin levels are tightly regulated by mechanical strain, both cross-sectionally and longitudinally, in mechanically stimulated long bones. Wnt signaling is a crucial step in the mechanotransduction cascade, as indicated by the observation that the Lrp5-deficient mouse skeleton is unable to respond anabolically to mechanical stimulation (6). Those experiments suggest that in normal bone tissue, the anabolic effects of mechanical stimulation are associated with enhanced Wnt signaling. Our results in the current experiments, implicating sclerostin as a mechanically suppressed signal, in conjunction with its known inhibitory effects on Lrp function and bone formation, provide an attractive regulatory mechanism that permits enhanced Wnt signaling upon mechanical stimulation. Furthermore, the osteocyte-specific expression profile of sclerostin provides a long sought-after molecular mechanism by which osteocytes per se can relay mechanical information biochemically to the effector cell populations (e.g. osteoblasts).
The effects of sclerostin on mechanically induced bone formation are likely to act through the Wnt signaling pathway; direct binding of sclerostin protein to Lrp5 and Lrp6 has been demonstrated repeatedly (13-15, 24). It is possible, however, that the effects of sclerostin are targeted toward inhibition of Bmp signaling. Sclerostin has clear inhibitory effects on Bmp-induced bone formation and alkaline phosphatase activity, but it remains controversial as to whether those effects are direct (e.g. blockade of Smad phosphorylation) or mediated entirely through the Wnt pathway (25, 26). Furthermore, it is unclear what role Bmps play in mechanically induced bone formation. In vitro, mechanically stimulated osteoblasts up-regulate Bmps 2, 4, 6, 7, and 8b (27, 28), and in vivo load-induced bone formation is enhanced by Bmp-7 (29), but functional studies demonstrating a requirement for Bmp signaling in bone mechanotransduction are lacking. Conversely, both gain-of-function and loss-of-function mutations in Lrp5 have been shown to directly impact mechanotransduction efficiency (6, 30), indicating that the Wnt pathway is a major cascade to be modulated for proper spatial control of load-induced bone formation.
We detected a significant reduction in Sost mRNA levels 24 h after loading, indicating that the observed reduction in sclerostin staining was at least partially fueled by transcriptional regulation. It should be noted, however, that loading also induces the expression of many proteolysis genes (31), so it remains to be determined whether the loss of protein levels resulting from loading also involves enhanced proteosomal degradation. In addition to the down-regulation of Sost, we found that loading also decreased expression of Dkk1, another Wnt signaling inhibitor with direct binding affinity to Lrp5/6. The mechanism of Dkk inhibition of Wnt signaling is different from that for sclerostin (e.g. Kremen binding and endocytosis), but like sclerostin, Dkk1 is a potent inhibitor of bone formation as revealed by the osteopenic Dkk1 overexpresser mouse (32) and the high bone mass Dkk1 haploinsufficient mouse (33). Thus, down-regulation of Dkk1 protein after loading could also explain the enhanced Wnt signaling that occurs during mechanotransduction. Relative expression levels of Sost and Dkk1, however, indicate that Sost levels are roughly 10-fold greater than Dkk1. These observations were also borne out at the protein level; we were barely able to detect Dkk1 protein using immunohistochemical techniques in the same sections used for Sost immunolocalization (not shown). Thus, Sost/sclerostin regulation might represent a much more plentiful, and consequently potent, mechanism for controlling load-induced bone formation. We saw no change in the expression of sFrp1, a Wnt-binding protein that has significant effects on bone accrual (34), indicating that mechanically up-regulated Wnt signaling is enacted via reduced receptor antagonism rather than reduced ligand inhibition. The immunolabeled sections and the hybridized sections revealed similar strain-driven response in terms of sclerostin and Sost down-regulation, respectively, in the midshaft regional analysis (Fig. 4, center and right columns). However, small discrepancies arose between the results yielded by the RNA and protein analyses along the length of the diaphysis (Fig. 3, B and C). We found slightly but significantly greater Sost reduction at midshaft than at the distal section. The basis for the difference is unclear, but it might be related to the sensitivity of the two different quantification methods employed. The in situ hybridization signal is more amenable to quantification via signal intensity per osteocyte, whereas the immunolabeled sections are more reproducibly quantified using a categorical scoring system of positive or negative for each cell. This issue might be better addressed in cell culture, once suitable Sost- and sclerostin-expressing cell lines become available. The Sost expression changes yielded by the ulnar loading studies were complemented by the Sost expression changes yielded by the tail suspension studies, which showed that Sost is up-regulated in a reduced loading environment. These results were recently confirmed by another group that found a similar increase in Sost expression following tail suspension (35). Although we were able to detect a significant increase in Sost transcripts at 3 days of tail suspension, we were unable to detect a difference in the number of sclerostin-positive osteocytes in immunolabeled tissue sections from the same site. Unlike the ulna loading model, which imposes large changes in strain on specific regions of the cortical cross-section, the tail suspension model places the entire tibia in a relatively uniformly reduced loading environment. Thus, there might not be a concentrated region of cells that are affected enough to detect a change at the protein level using immunohistochemistry, as there is in the medial cortex of the loaded ulna. Consequently, the possibility of enhanced tissue levels of sclerostin resulting from disuse is possible but likely would require a detection technique more sensitive than immunohistochemistry. Tail suspension is a frequently used model for inhibiting bone formation in the rodent caudal skeleton, ultimately producing a low bone mass phenotype. Unloading induces osteocyte and osteoblast apoptosis (36, 37), reduces proliferation (38, 39), and inhibits osteoblast differentiation (40, 41). In light of the observation that at least two of those effects, reduced proliferation and enhanced apoptosis, are induced by sclerostin (42), our data suggest a mechanism for reduced bone formation during weightlessness and/or disuse. Interestingly, Lrp5 HBM G171V transgenic mice do not lose bone in disuse caused by sciatic neurectomy, as was seen in wild-type mice (43), suggesting that disuse-induced bone loss involves modulation of the Wnt signaling pathway. Modulation of sclerostin, although clearly influenced by mechanical loading, has been reported for other stimuli, including parathyroid hormone and long bone fracture. A single injection of parathyroid hormone results in decreased Sost expression within 2-4 h (44, 45), and continuous infusion of parathyroid hormone results in sustained down-regulation of Sost over several days (44). Healing fracture callus exhibits a time-dependent increase in Sost expression over 28 days, but the same analysis in the fibrous tissue of nonunited fracture sites showed no change in Sost transcript levels (46). Thus, Sost expression has multiple regulatory inputs, of which mechanical load is only one among several. The effects of sclerostin on bone formation and skeletal phenotype are most readily appreciated in sclerosteosis and van Buchem disease patients, in whom SOST expression is absent or significantly reduced. Sclerosteosis patients exhibit hip and spine bone mineral densities ranging from 8 to 14 standard deviations above age-matched normals, whereas heterozygous carriers exhibit elevated but more normal BMD z-scores, ranging from 0.5 to 5 (11). Although SOST transcripts have been detected in other tissues, including kidney and bone marrow (8), sclerosteosis patients rarely present with clinical symptoms other than those derived from bone overgrowth (47). Those observations suggest that although sclerostin might be found in other postnatal tissues, its role in nonosseous tissues is of minor importance. The predilection for bone overgrowth in the cranium is associated with severe complications, including increased intracranial pressure, and loss of smell, taste, hearing, and vision, arising from cranial nerve foramina stenosis and accompanying nerve impingement (48). The mouse skeleton exhibits nearly 2-fold greater expression of Sost in the skull than in the long bones (femur) (45), which might explain the more severe phenotype in the cranium of sclerosteosis patients. Furthermore, mice harboring loss-of-function mutations in Sost exhibit very high bone mass (49, 50), whereas mice engineered to overexpress Sost are osteopenic (26, 51). Thus, the regulation of Sost and its effects on bone mass are amenable to investigation in mouse models.
It is unclear from the experiments presented here how sclerostin might physically exert its action in mechanotransduction, i.e. whether it acts as an autocrine factor on the osteocytes that released it or whether it makes its way to the osteoblast populations on the bone surfaces as a paracrine factor. Osteoblasts form the effector cell population that is responsible for bone formation, but we and others (16) have observed that immunolocalization of sclerostin in the osteocyte network is usually confined to the interior, more mature osteocytes, and that a In summary, we found that Sost/sclerostin levels were reduced by mechanical stimulation in the rodent ulna, and the reduction was closely related to tissue strain distributions and subsequent bone formation. These data highlight the role of Wnt signaling in mechanically induced bone formation and provide the first evidence for osteocyte-specific control of mechanotransduction, involving a protein with clear effects on osteoblast-mediated bone formation. Furthermore, sclerostin presents an attractive target for modulating bone mass, because we have shown that in specific diaphyseal locations where sclerostin is lost, bone formation occurs. Pharmacologic modulation of sclerostin signaling emerges as an obvious potential therapy for improving bone structure.
* This work was supported by National Institutes of Health Grants AR53237 (to A. G. R.), DK076007 (to T. M. B.), AR46798 (to S. E. H. and J. G.-H.), and AR046530 (to C. H. T.). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. 1 To whom correspondence should be addressed: Dept. of Anatomy & Cell Biology, Indiana University School of Medicine, 635 Barnhill Dr., MS 5035, Indianapolis, IN 46202. Tel.: 317-274-7489; Fax: 317-278-2040; E-mail: arobling{at}iupui.edu.
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