- Research article
- Open Access
- Open Peer Review
Differences in osteogenic and apoptotic genes between osteoporotic and osteoarthritic patients
BMC Musculoskeletal Disordersvolume 14, Article number: 41 (2013)
Osteoporosis is a metabolic disorder characterized by a reduction in bone mass and deterioration in the microarchitectural structure of the bone, leading to a higher risk for spontaneous and fragility fractures.
The main aim was to study the differences between human bone from osteoporotic and osteoarthritic patients about gene expression (osteogenesis and apoptosis), bone mineral density, microstructural and biomechanic parameters.
We analyzed data from 12 subjects: 6 with osteoporotic hip fracture (OP) and 6 with hip osteoarthritis (OA), as the control group. All subjects underwent medical history, analytical determinations, densitometry, histomorphometric and biochemical study. The expression of 86 genes of osteogenesis and 86 genes of apoptosis was studied in pool of bone samples from patients with OP and OA by PCR array.
We observed that most of the genes of apoptosis and osteogenesis show a decrease in gene expression in the osteoporotic group in comparison with the osteoarthritic group. The histomorphometric study shows a lower bone quality in the group of patients with hip fractures compared to the osteoarthritic group.
The bone tissue of osteoporotic fracture patients is more fragile than the bone of OA patients. Our results showed an osteoporotic bone with a lower capacities for differentiation and osteoblastic activity as well as a lower rate of apoptosis than osteoarthritic bone. These results are related with structural and biochemical parameters.
Normal bone remodelling requires a balance between bone formation and resorption and disruption of either activity or both leads to metabolic bone disorders, being osteoporosis the most prevalent one. In the process of bone formation and resorption different regulatory systems are involved, mainly communication systems between different bone cells: osteoblasts, osteoclasts and osteocytes.
Microarrays studies showed that the expression of several genes is related with BMD and with osteoporotic disease. Bone remodelling is regulated by numerous signalling pathways. It is becoming clear that bone formation and homeostasis require at least six major universal signalling transduction pathways: Notch, Wnt, TGF/BMP, Hedgehog, steroid hormone receptor, and receptor tyrosine kinase[3, 4]. Most signalling pathways converge in a few transcription factors such as Runx2, Osterix, Sox9 and AP-1[5, 6].
One of the best known processes of bone regulation is OPG/RANKL/RANK that regulates directly the action of osteoblasts and osteoclasts, and changes in the production of osteoprotegerin (OPG) and/or RANKL produces misbalances in bone remodelling which can lead to a major formation or resorption depending on the final balance between both proteins.
Apoptosis plays a critical role during embryonic limb development, skeletal maturation, adult bone turnover by modeling and remodeling processes, and during fracture healing and bone regeneration. In humans, increased osteocyte apoptosis has been correlated with sites of rapid bone turnover, and osteoblast apoptosis plays an important role in bone development and maintenance. It is estimated that 60–80% of osteoblasts that originally assembled at the resorption pit die by apoptosis. Further, bone loss caused by sex steroid deficiency, glucocorticoid excess, or aging is caused in part by osteoblast apoptosis.
As a result of the balance between bone formation and resorption, bone structure may be modified and thus the biomechanical properties which are determinant of bone strength and fracture resistance.
Therefore, in the present study, we determined the alterations in the osteogenic and apoptotic activity on bone samples from osteoporotic hip fracture patients versus hip osteoarthritis patients. Also, we studied the microstructural and biomechanical characteristics of trabecular bone in these patients.
The studied population consisted of two groups of patients. The first included 6 patients (1 man and 5 women) with osteoporotic hip fractures (OP), between 62–87 years old and the second one, 6 patients (2 men and 4 women) with hip osteoarthritis (OA), between 55–78 years old. Inclusion criteria in both groups were to be aged 55 or over, not to lead a sedentary life, to walk for 3–4 hours every week, to take more than 700 mg/day of calcium (calculated by dietetic questionnaires) and not receiving treatment with an influence on bone metabolism. The OP group was made up by patients with an osteoporotic hip fracture that required arthroplasty and the OA group by patients with osteoarthritis, admitted for elective hip arthroplasty and not having presented an osteoporotic fracture during their life. Exclusion criteria were malignant diseases, hyperthyroidism, hyperparathyroidism, osteomalacia, previous bisphosphonate or systemic steroid treatment or use of vitamin D supplements or current use of hormone replacement therapy or any other drugs with effects on bone metabolism.
Patients were included in the study in a consecutive manner as they were directed to arthroplasty by the Trauma & Orthopedics Department in the University Hospital “Virgen Macarena” of Seville, Spain.
All patients were included to participle in this study and agreed their bone samples. The study was approved by the Institutional Ethics Committee and written informed consent was obtained from all the participants in the study.
During the surgical procedure, a femoral osteotomy was performed and the femoral head and neck were removed.
We obtained a fasting blood sample, in the first 48 h after surgery, for analytical determinations of parameters related to bone metabolism: calcium corrected for albumin levels, phosphorus, β- CrossLaps, aminoterminal propeptide of type I procollagen (PINP), parathyroid hormone (PTH), 25-hydroxyvitamin D (25(OH)D) and insulin growth factor-like (IGF-I).
Corrected serum calcium and phosphorus were measured by an autoanalyzer DAX-96.
PTH, β-CrossLaps and PINP were analyzed by immunoassay by an autoanalyzer COBAS 601 (Roche, Spain). Interassay CV <5.8%, <7.6% and <4.2% respectively.
25(OH)D were analyzed by direct competitive immunoassay by an autoanalyzer LIAISON (DiaSorin, Italy). Interassay CV < 5.5%.
Serum IGF-I was measured by immunoassay by IMMULITE (Siemens, Germany). Interassay CV < 3.9%.
Dual-energy X-ray absorptiometry (DXA)
Bone mineral density (BMD) was measured in the hip and contralateral femoral neck by dual X-ray densitometer with Hologic-DISCOVERY. CV in vivo 2.9% (femoral neck) and 2.5% (total hip).
Microstructural and biomechanic bone study
The distal femoral region was analyzed without further sample preparation by micro-CT, (SkyScan 1172) at Trabeculae® (San Cibrao das Viñas, Spain). Data sets were rebuilt using a modified Feldkamp algorithm and segmented into binary images (8-bit BMP images) using adaptive local thresholding. Trabecular bone regions were analyzed using the commercial software (Sky-Scan™ CT, 1.6.0).
To evaluate the biomechanical properties we have performed uniaxial compression tests using the IGFA system (image-guided failure analysis). The variables were quantified to describe the mechanical behaviour of bone tissue including the maximum stress (σ), the maximum strain (ε), and the Young’s modulus (E).
RNA extraction and cDNA synthesis
RNA was isolated from the femurs by using Trizol, following manufacturer’s instructions (Invitrogen, CA, USA).
To carry out the PCR array, total RNA from 6 different patients in each experimental group was pooled (3 μg total) and the pool was reverse-transcribed with RT2 First strand kit (SABiosciences, USA) according to manufacturer’s instructions. For the study of OPG and RUNx2 genes, aliquots of RNA (250 ng) were reverse-transcribed with RT2 First strand kit (SABiosciences, USA) according to manufacturer’s instructions.
PCR array and real time PCR
Human osteogenesis and Human apoptosis RT2 Profilertm PCR Arrays (SuperArray, USA) were used to screen the expression of multiple genes in human bone biopsies. They were used according to the manufacturer’s protocol on an ABI Prism 7500 (Applied Biosystems,USA). Results were normalized with the less variable housekeeping gene available in the array, beta-actin, and a significant (p < 0.05). 3–fold change over control was the selected criteria for an experimental gene expression change, similarly to other studies of this kind. Results were analyzed with th RT2 Profiler™ PCR Array Data Analysis (http://www.sabiosciences.com/pcrarraydataanalysis.php#Excel).
Duplicate plates were used.
To validate de PCR array, real time PCR was done with cDNA from each patient, and was repeated three times for each gene using SYBRGreen (Roche,) and the primers of Runx2, osteoprotegerin and beta-actin (housekeeping gene) were provided by QuantiTectPrimer Assay (Quiagen,USA). Real-time PCR were performed in the ABI PRISM 7500 system (Applied Biosystems,USA). Results were expressed in mRNA copy numbers, calculated for each sample using the cycle threshold (Ct) value, and normalized against 18S rRNA.
Results were analyzed with th RT2 Profiler™ PCR Array Data Analysis (http://www.sabiosciences.com/pcrarraydataanalysis.php#Excel).
Variables were tested for normality of distribution using Kolmogorov-Smirnov test. To statistical significance of the differences between the means of OP and OA gene expression values in the real time PCR analysis were determined by t-Student test. We used the statistical package SPSS 18.0 (Illinois, USA). Statistical differences were set at p < 0.05. Results are presented as mean ± standard error (SEM).
We analyzed data from 12 patients: 6 with osteoporotic hip fracture (OP) and 6 with hip osteoarthritis (OA), as the control group, who fulfilled the enrolment criteria. Clinical characteristics and laboratory data of the OP and OA groups are summarized in Table 1.
In both groups, the anthropometric and biochemical characteristics were comparable. Although patients with fractures tended to be older than those with OA, age differences did not seem to influence the results because we found no statistical significant differences between groups and also we found no correlation between age and gene expression in either group.
OP patients had lower values of total hip bone mineral density (BMD) (0.83 gHA/cm 2 ± 0.04 OP; 0.89 gHA/cm 2 ± 0.06 OA) and neck BMD (0.59 gHA/cm 2 ± 0.03 OP; 0.74 gHA/OA ± 0.08 cm 2) than the control group, and higher bone remodelling serum marker, β-CrossLaps, 0.51 ng/mL ± 0.1 (OP) vs. 0.36 ng/mL ± 0.08 (OA) without rearching statistical differences. In all patients, the levels of 25 (OH) D were < 20 ng/mL.
Histomorphometry and biomechanics results
Microstructural indices show a lower bone quality in the group of patients with hip fractures compared to the osteoarthritic group (Table 2).
We observed significant lower number of trabeculae (Tb.N.) in the bone of hip fracture patients (1.5 mm-1 ± 0.1 vs 1.9 mm-1 ± 0.1; p = 0.049) and furthermore, these patients also have a greater separation between trabeculae (Tb.Sp) (0.55 mm ± 0.46 vs. 0.02 mm ± 0.03, P = 0.04). The thickness of the trabeculae (Tb.Th) was similar in both groups.
The trabecular pattern index (inverse of connectivity index) showed higher values in the fractured patient group. The structure model index (SMI), which implies a relative prevalence of tube-cylinder trabeculae in comparison to plate-form ones, was higher in the group of patients with hip fracture, indicating a greater number of trabeculae in tube-shaped cylinder, less resitant, in these patients.
Biomechanical studies showed that the values of Young’s modulus, maximum stress and maximum deflection, after applying the compression test, were lower in patients with hip fractures compared with osteoarthritic patients, although these differences did not reach significance (Table 2).
PCR array osteogenesis
We examined whether osteoporotic patients would have any alterations in the osteogenesis in comparison with osteoarthritic patients. If we consider biologically significant variations when the induction or repression of the gene is at least 3 times, we found that 23 genes, from 86 genes involved in osteogenesis, are altered (p <0.05). In most cases, we observed a repression of these genes in osteoporotic compared with the control bone (Table 3). Only FGF1 and VEGFA, genes involved in cell cycle regulation, are overexpressed (3.3 and 3.0-fold, respectively). From the family of metalloproteases, only MMP8 was up-regulated, and it is involved in inflammatory joint processes (5.06-fold).
Among the down-regulated genes, it is necessary to emphasize the osteocalcin gene (BGLAP) (− 3.39-fold), a specific gene from osteoblastic cells which function is bone mineralization, CDH11 (−3.3-fold) a typical adhesion molecule of osteoblasts, Runx2 (−2.94-fold) which is a factor of transcription essential for the maturation of osteoblastic cells and BMP6 (−3.3-fold) that encodes a protein of bone formation, also typical from osteoblastic cells. The latter four genes are characteristic of osteoblastic cells and are suppressed on the macerated OP bones.
We also showed down-regulation in several transcription factors such as NFKB1, SMAD2, SMAD3, SOX9 and TNF, which in turn modulate gene expression of several genes.
PCR array apoptosis
When analyzing array apoptosis, we observed that most of the genes show a decrease in gene expression in the osteoporotic group in comparison with the osteoarthritic group (Table 4).
As known, apoptosis can be initiated either by the death receptor-mediated pathway or the mitochondria-mediated pathway. In our study, we found that both pathways are altered on macerated OP bones. Of the 84 genes studied, 26 have a significant lower gene expression in the OP group vs. OA, and only two of them show increased expression (p <0.05). Specifically, we observed a lower expression of TNF receptor family genes as CD40 (−7.7-fold OP vs. OA), LTBR (−3.3-fold), TNFRSF11B (−3.5-fold), CD27 (−6.6-fold) and the TNF ligand Family, TNF (−16.7-fold). At a mitochondrial level, there are repressed genes such as BAD (−5.8-fold) and slightly BAX (−1.2-fold).
Caspases are final effector enzymes of programmed cell death. In the OP group, the caspases studied also have a lower gene expression, observing a significant biologically variation for caspase 9 (−6.1-fold OP vs. OA) and caspases 4 and 5 (−5.3- fold and −5.9-fold-respectively).
We have also observed the repression of genes such as Bcl2 (−6.3-fold) and BAG1 (−3.62-fold), both of the bcl-2 family and ABL1 (−6.8-fold) involved in the damage response DNA.
In OP patients, we only observed an increased in the gene expressions of BCL2A1 (9.66-fold) and BNIP1 (2.7-fold), both from the BCL2 family of anti-apoptotic features.
To verify the results obtained in the array plates, we chose two genes, with particular relevance to the activity of bone remodelling, such as Runx2 and OPG. Runx2 is the major transcription factor involved in osteoblast differentiation, and the results of the osteogenesis array plate indicate a down-regulation in OP vs. OA bone of this gene (−2.94-fold, p <0.05) (Table 3). OPG is part of one of the main systems of regulation of bone remodelling (OPG/RANKL/RANK) and the array plate are decreased apoptosis expression in the OP group compared with the OA group (−3.52-fold, p < 0.05) (Table 4).
When analyzed individually OPG and Runx2 gene, we observed that the OP group has almost 2 times less expression of Runx2 and 6.9 times less OPG than the control group (p = 0.004), confirming the results of osteogenesis and apoptosis arrays (Figure 1).
The osteogenic activity is mediated by multiple proteins and may be altered by different circumstances. We investigated whether genes associated with this activity may have a different expression in bone tissue of osteoporotic fracture patients versus osteoarthritis patients. We have studied 86 genes related to osteogenic activity and 84 to apoptosis. Most of them have a lower expression in osteoporotic bone than in osteoarthritic bone, indicating that the bone tissue in osteoporosis is more inert, having less transcriptional activity.
Regarding osteogenic activity, the macerated OP hip bone has repressed typical genes of osteoblast cell. So BGLAP (essential for bone mineralization), CDH11 (osteoblast adhesion molecule) and Runx2 (transcription factor required for osteoblastogenesis), have a lower expression in osteoporotic than arthritic bone, which is consistent with decreased osteoblast differentiation and activity in osteoporosis bone. This finding agrees with previous results[12, 13], and low levels of osteocalcin published by Napal et al. in stressful situation. These results were confirmed by the analysis of the expression of Runx-2 by real-time PCR, significantly lower in samples from OP patients, in comparison with samples from OA patients.
Several TGF-β/BMP signalling pathway components and modulator genes that influence osteoblast function, bone remodelling and bone mineralization, were down-regulated in OP bone, such as TGFBR1, TGFBR2, BMP5, BMP6, SMAD 2 and SMAD3. Several authors agree with these results, and it is consistent with decreased in the bone turnover in OP bone[15–18].
Previous studies demonstrated that BMP6 was more potent and consistent than BMP2 and BMP7 in inducing osteoblast differentiation in primary hMSC, so that a decrease in the expression of BMP6 in OP bone indicates a minor osteoblast differentiation. In the other hand, BMP5 accelerates expression of hypertrophy markers which is of relevance in both development and diseases such as osteoarthritis, this is consistent with the presence of higher values in OA patients macerates against OP ones.
With regard to genes encoding the synthesis of metalloproteinases, we have also found differences when comparing the osteoporotic and arthrosic bone. The lack of MMP8 is accompanied by synovial inflammation and bone erosion in mice arthritis model, indicating that MMP8 has a protective role in this disease. The fact of finding higher expression levels MMP8 in OP patients than OA may suggest an increased activity in inflammatory joint in OA patients[21, 22].
In cell cycle regulation, multiple receptors and modulators of different activation pathways are involved. Among the genes studied in this group, we obtained a decreased gene expression of EGFR, FGFR1, FGFR2 and IGF1R in the OP group macerates. On the contrary, FGF1 and VEGFA are two of the three genes with an increased expression in the OP group.
Epidermal growth factor receptor (EGFR) signalling pathway is an important bone regulator and it primarily plays an anabolic role in bone metabolism. A physiological function of osteoblastic EGFR signalling is maintaining the pool of osteoprogenitors at an undifferentiated stage in bone. It is reported that blocking EGFR activity in osteoblast lineage cells results in fewer osteoprogenitors and leads to defective bone formation. Fibroblast growth factors (FGFs) are polypeptides that control the proliferation and differentiation of various cell types including osteoblasts. FGFs are also strong inducers of angiogenesis, necessary to obtain oxygen and nutrients during tissue repair. Some authors have described that the administration of FGF1 increases new bone formation and bone density. Our findings about a minor expression of receptors in OP bone indicate a reduced capacity for bone regeneration in these patients, which tries to compensate with increased expression of the ligand FGF1. We also found high levels of VEGF in OP bone as other authors who described an increase of mRNA expression of VEGF in femoral neck fracture versus nontraumatic femoral head in humans.
All these results taken together suggest that osteoblastic activity is decreased in osteoporotic bone and bone formation rate is lower in OP than in OA bone.
The human apoptosis PCR array profiles the expression of 84 key genes involved in apoptosis or programmed cell death. We have observed a down-regulation in 26 genes and upregulation in only two of them.
The two major pathways of apoptosis are the extrinsic (Fas and other TNFR superfamily members and ligands) and the intrinsic (mitochondria-associated) pathways. We found no differences in the expression of genes related to the FasL family but we showed a lower expression of genes of the TNF family in OP bone, such as CD27, CD40, LTBR, TNF and OPG. CD27 and CD 40 are essential in mediating a broad variety of immune and inflammatory responses, consistent with their increased gene expression in OA patients rather than in OP patients.
Caspases are proteases that cleave intracellular proteins and are required to carry out apoptosis. In OP group, we found a down-regulation in all caspases studied, being biologically significant decreases in the expression of caspases −1, -4, -5, -9 and −10, indicating that in the OP group there is a clear decrease in apoptotic activity. The activation of these caspases requires binding to specific cofactors, caspases possess different domains, containing death-effector domains (DED) or caspase recruitment domains (CARD) and we also observed a down-regulation in some of these cofactors, specifically with Apaf-1, CARD8, NOD1, NOL3, RIPK2 and DAPK1, in OP bone.
Bcl-2 proteins are a family of cytosolic proteins involved in the mitochondrial pathway of apoptotic and these can be either anti or pro-apoptotic. They act as a sensor of cellular damage. At present, regulation of apoptosis by Bcl-2 family members is complex and not fully understood because most cells express a variety of antiapoptotic and proapoptotic Bcl-2 proteins, and the regulation of their interactions dictates survival or commitment to apoptosis. Our studies show a decrease in the expression of members of the Bcl-2 anti-apoptotic family such as BAG1, BCL2 (one of the most important and well known), BCL2L11 and OP BNIP2 in bone and increased the expression of BCL2L11 and BNIP1. We suggest that the balance of the expression of these genes can lead different cells in the osteoporotic bone towards apoptosis inhibition. Although, we were waiting high levels expression of caspases, they found low, this might be due to the differences type of cells in the bone samples (osteoblasts, osteocytes, mesenchymal stem cells …). Some authors described increased apoptosis of osteocytes after an osteoporotic fracture, but the apoptosis of osteoblasts was not altered. Furthermore, it seems that an increase in apoptosis indicates an increase of bone remodeling, and we observed an osteoporotic bone with low transcription level and consequently with low bone remodelling.
OPG plays essential roles in the osteoblast cell, on the one hand it inhibits bone resorption, joining the receptor activator for nuclear factor _B ligand (RANKL) and on the other hand, it can also bind and antagonize the activity of the TNF-related apoptosis-inducing ligand (TRAIL). We found decreased levels of OPG expression in OP bone, in PCR array and also to check real-time PCR.
The histomorphometry data obtained indicate that OP bone is of lower quality than OA, observing a smaller number of trabeculae, greater separation between them and poorer connectivity. These characteristics indicate that OP bone is more fragile and such fragility is determined by a worse bone structure. We could not correlate these values with any of the genes studied, although some authors suggest a relationship between low expression of Runx2, in biopsies from the iliac crest from patients with male idiophatic osteoporosis, and a significant decrease in the number of trabeculae and conectivity density, data that support our findings.
Our study has some limitations. Firstly, we studied trabecular bone, which may behave differently of cortical bone and secondly we present a relatively low number of patients.
These results open a wide field of research in the treatment of osteoporotic and arthritic disease. Noting the different gene activities that are in both conditions, we can deepen the study of each of these genes looking for the best candidate as a therapeutic target. In our work, we point out the genes with differential expression and also we relate gene activity to structural and biochemical differences in bone.
In summary, our findings lead us to conclude that bone tissue of osteoporotic fracture patients presented worse microstructural characteristics which make them more fragile than the bone of OA patients, in line with other authors. This may be related to an imbalance in bone remodelling that is conditioned by a lower expression of genes encoding proteins that promote osteogenic activity. The result is a bone with a lower capacity for differentiation and osteoblastic activity as well as decreased activity of bone remodelling and mineralization capacity. This bone also shows data suggesting a lower rate of apoptosis.
Receptor activator for nuclear factor _B ligand
Bone mineral density
Number of trabeculae
Separation between trabeculae
Thickness of the trabeculae
Structure model index
Epidermal growth factor receptor
Fibroblast growth factor
Rachner TD, Khosla S, Hofbauer LC: Osteoporosis: now and the future. Lancet. 2011, 377 (9773): 1276-1287. 10.1016/S0140-6736(10)62349-5.
Jemtland R, Holden M, Reppe S, Olstad OK, Reinholt FP, Gautvik VT, Refvem H, Frigessi A, Houston B, Gautvik KM: Molecular disease map of bone characterizing the postmenopausal osteoporosis phenotype. J Bone Miner Res. 2011, 26 (8): 1793-1801. 10.1002/jbmr.396.
Javed A, Chen H, Ghori FY: Genetic and transcriptional control of bone formation. Oral Maxillofac Surg Clin North Am. 2010, 22 (3): 283-293. 10.1016/j.coms.2010.05.001.
Velasco J, Zarrabeitia MT, Prieto JR, Perez-Castrillon JL, Perez-Aguilar MD, Perez-Nuñez MI, Sañudo C, Hernandez-Elena J, Calvo I, Ortiz F, Gonzalez-Macias J, Riancho JA: Wnt pathway genes in osteoporosis and osteoarthritis: differential expression and genetic association study. Osteoporos Int. 2010, 21 (1): 109-118. 10.1007/s00198-009-0931-0.
Zelzer E, Olsen BR: Multiple roles of vascular endothelial growth factor (VEGF) in skeletal development, growth, and repair. Curr Top Dev Biol. 2005, 65: 169-187.
Kim SJ, Kim SY, Kwon CH: Differential effect of FGF and PDGF on cell proliferation and migration in osteoblastic cells. Growth Factors. 2007, 25 (2): 77-86. 10.1080/08977190701398977.
Kearns AE, Khosla S, Kostenuik PJ: Receptor activator of nuclear factor kappaB ligand and osteoprotegerin regulation of bone remodeling in health and disease. Endocr Rev. 2008, 29 (2): 155-192.
Hock JM, Krishnan V, Onyia JE, Bidwell JP, Milas J, Stanislaus D: Osteoblast apoptosis and bone turnover. J Bone Miner Res. 2001, 16 (6): 975-984. 10.1359/jbmr.2001.16.6.975.
Moriishi T, Maruyama Z, Fukuyama R, Ito M, Miyazaki T, Kitaura H, Ohnishi H, Furuichi T, Kawai Y, Masuyama R, Komori H, Takada K, Kawaguchi H, Komori T: Overexpression of Bcl2 in osteoblasts inhibits osteoblast differentiation and induces osteocyte apoptosis. PLoS One. 2011, 6 (11): e27487-10.1371/journal.pone.0027487.
Cano A, Dapía S, Noguera I: Comparative effects of 17beta-estradiol, raloxifene and genistein on bone 3D microarchitecture and volumetric bone mineral density in the ovariectomized mice. Osteoporos Int. 2008, 19 (6): 793-800. 10.1007/s00198-007-0498-6.
Wang B, Wood IS, Trayhurn P: PCR arrays identify metallothionein-3 as a highly hypoxia-inducible gene in human adipocytes. Biochem Biophys Res Commun. 2008, 368 (1): 88-93. 10.1016/j.bbrc.2008.01.036.
Hopwood B, Tsykin A, Findlay DM, Fazzalari NL: Gene expression profile of the bone microenvironment in human fragility fracture bone. Bone. 2009, 44 (1): 87-101. 10.1016/j.bone.2008.08.120.
Dragojevič J, Logar DB, Komadina R, Marc J: Osteoblastogenesis and adipogenesis are higher in osteoarthritic than in osteoporotic bone tissue. Arch Med Res. 2011, 42 (5): 392-397. 10.1016/j.arcmed.2011.08.005.
Napal J, Amado JA, Riancho JA, Olmos JM, González-Macías J: Stress decreasesthe serum level of osteocalcin. Bone Miner. 1993, 21 (2): 113-118. 10.1016/S0169-6009(08)80013-X.
Kumarasinghe DD, Hopwood B, Kuliwaba JS, Atkins GJ, Fazzalari NL: An update on primary hip osteoarthritis including altered Wnt and TGF-β associated gene expression from the bony component of the disease. Rheumatology (Oxford). 2011, 50 (12): 2166-2175. 10.1093/rheumatology/ker291.
Kumarasinghe DD, Perilli E, Tsangari H, Truong L, Kuliwaba JS, Hopwood B, Atkins GJ, Fazzalari NL: Critical molecular regulators, histomorphometric indices and their correlations in the trabecular bone in primary hip osteoarthritis. Osteoarthr Cartil. 2010, 18 (10): 1337-1344. 10.1016/j.joca.2010.07.005.
Kaji H, Naito J, Sowa H: Smad3 differently affects osteoblast differentiation depending upon its differentiation stage. Horm Metab Res. 2006, 38 (11): 740-745. 10.1055/s-2006-955085.
Cunningham NS, Paralkar V, Reddi AH: Osteogenin and recombinant bone morphogenetic protein 2B are chemotactic for human monocytes and stimulate transforming growth factor beta 1 mRNA expression. Proc Natl Acad Sci USA. 1992, 89 (24): 11740-11744. 10.1073/pnas.89.24.11740.
Zhu F, Friedman MS, Luo W: The transcription factor osterix (SP7) regulates BMP6-induced human osteoblast differentiation. J Cell Physiol. 2012, 227 (6): 2677-2685. 10.1002/jcp.23010.
Snelling SJB, Hulley PA, Loughlin J: BMP5 activates multiple signaling pathways and promotes chondrogenic differentiation in the ATDC5 growth plate model. Growth Factors. 2010, 28 (4): 268-279. 10.3109/08977191003752296.
García S, Forteza J, López-Otin C: Matrix metalloproteinase-8 deficiency increases joint inflammation and bone erosion in the K/BxN serum-transfer arthritis model. Arthritis Res Ther. 2010, 12 (6): R224-10.1186/ar3211.
Zupan J, Komadina R, Marc J: The relationship between osteoclastogenic and anti-osteoclastogenic pro-inflammatory cytokines differs in human osteoporotic and osteoarthritic bone tissues. J Biomed Sci. 2012, 1: 19-28.
Zhu J, Shimizu E, Zhang X: EGFR signaling suppresses osteoblast differentiation and inhibits expression of master osteoblastic transcription factors Runx2 and Osterix. J Cell Biochem. 2011, 112 (7): 1749-1760. 10.1002/jcb.23094.
Feito MJ, Lozano RM, Alcaide M: Immobilization and bioactivity evaluation of FGF-1 and FGF-2 on powdered silicon-doped hydroxyapatite and their scaffolds for bone tissue engineering. J Mater Sci Mater Med. 2011, 22 (2): 405-416. 10.1007/s10856-010-4193-3.
Dunstan CR, Boyce R, Boyce BF: Systemic administration of acidic fibroblast growth factor (FGF-1) prevents bone loss and increases new bone formation in ovariectomized rats. J Bone Miner Res. 1999, 14 (6): 953-959. 10.1359/jbmr.19188.8.131.523.
Wang W, Li S, Niu D: Study on relationship between osteoporosis and mRNA expressions of vascular endothelial growth factor and bone morphogenetic protein 2 in nontraumatic avascular necrosis of femoral head. Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2010, 24 (9): 1072-1077.
Schultz DR, Harrington WJ: Apoptosis: programmed cell death at a molecular level. Semin Arthritis Rheum. 2003, 32 (6): 345-369. 10.1053/sarh.2003.50005.
van Kooten C, Banchereau J: CD40-CD40 ligand. J Leukoc Biol. 2000, 67 (1): 2-17.
Blagosklonny MV: Cell death beyond apoptosis. Leukemia. 2000, 14 (8): 1502-1508. 10.1038/sj.leu.2401864.
Bran GM, Stern-Straeter J, Hörmann K: Apoptosis in bone for tissue engineering. Arch Med Res. 2008, 39 (5): 467-482. 10.1016/j.arcmed.2008.02.007.
Chipuk JE, Moldoveanu T, Llambi F: The BCL-2 family reunion. Mol Cell. 2010, 37 (3): 299-310. 10.1016/j.molcel.2010.01.025.
Delgado-Calle J, Arozamena J, García-Renedo R, García-Ibarbia C, Pascual-Carra MA, González-Macías J, Riancho JA: Osteocyte deficiency in hip fractures. Calcif Tissue Int. 2011, 89 (4): 327-334. 10.1007/s00223-011-9522-0.
Hofbauer LC, Gori F, Riggs BL: Stimulation of osteoprotegerin ligand and inhibition of osteoprotegerin production by glucocorticoids in human osteoblastic lineage cells: potential paracrine mechanisms of glucocorticoid-induced osteoporosis. Endocrinology. 1999, 140 (10): 4382-4389. 10.1210/en.140.10.4382.
Weinstein RS, O’Brien CA, Almeida M: Osteoprotegerin prevents glucocorticoid-induced osteocyte apoptosis in mice. Endocrinology. 2011, 152 (9): 3323-3331. 10.1210/en.2011-0170.
Shen Y, Zhang Z-M, Jiang S-D: Postmenopausal women with osteoarthritis and osteoporosis show different ultrastructural characteristics of trabecular bone of the femoral head. BMC Musculoskelet Disord. 2009, 10: 35-10.1186/1471-2474-10-35.
Patsch JM, Kohler T, Berzlanovich A: Trabecular bone microstructure and local gene expression in iliac crest biopsies of men with idiopathic osteoporosis. J Bone Miner Res. 2011, 26 (7): 1584-1592. 10.1002/jbmr.344.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/41/prepub
This work was supported in part by the Research Project of Excellence, Junta de Andalucía (CTS-5360/09) of Spain and co-financed with ISCIII 2013-RED 12-0043 from the (RETICEF). The authors thank the staff in the Traumatology & Orthopaedic Department, “Hospital Virgen Macarena”.
The authors declare that they have no competing interests.
MG carried out the molecular genetic studies, participated in the bioinformatics analysis and drafted the manuscript. MJM and MAV participated in the clinical and biochemical analysis. CM carried out the bioinformatics analysis. RPC conceived of the study, and participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.