Abstract
Objectives
In human post‐menopausal osteoporosis, enhanced adipogenesis in bone marrow and enhanced formation of adipose tissue in vivo are observed. These changes correlate with reduced trabecular bone volume and increased adipocyte cell size as well as cell number. However, cellular and molecular mechanisms underlying osteoporosis‐related changes in adipocyte cell volume are not known. This study was designed to compare adipogenic potential of adipose tissue‐derived stem cells (ADSCs) obtained from ovariectomized mice with that of control ADSCs, and to analyse pathological mechanisms from the point of functional changes of ADSCs.
Materials and methods
Healthy female C57BL/6J mice were randomly divided into ovariectomy and sham‐surgery groups. Mouse ADSCs were isolated and cultured in vitro up to passage 3. After adipogenic induction, oil red O staining of lipid droplets was used to detect adipogenic ability of ADSCs; real‐time PCR and immunofluorescence staining were used to detect expression of adipogenesis‐related genes and proteins.
Results
As indicated by increased expression of adipogenic and lipogenic genes and proteins, and lipid droplets accumulation shown by oil red‐O staining, adipogenic differentiation of ADSCs was significantly enhanced in the ovariectomy group compared to the sham‐surgery group (P < 0.05).
Conclusion
These findings suggest that enhanced adipogenic differentiation of ADSCs is likely to be the important cause for increased adipogenesis in vivo and subsequent obesity‐like changes in body mass, in mice, after ovariectomy.
Introduction
Osteoporosis is a disease characterized by abnormalities in quantity and quality of bone tissue, which leads to impaired skeletal strength and increased susceptibility to fracture. It is an age‐related disease caused by imbalance between bone‐forming osteoblasts and bone‐resorbing osteoclasts, commonly resulting from post‐menopausal oestrogen deficiency 1, 2. This prevalence is especially high among elderly post‐menopausal women, increasing risk of fracture at any site, thus exposing this section of the population to particularly high morbidity and mortality 3, 4.
Previous findings have reported that with ageing, adipogenesis is enhanced and is associated with reduced osteogenesis 5. These changes are more pronounced in patients with osteoporosis 6. In post‐menopausal osteoporosis, enhanced adipogenesis in the bone marrow and enhanced formation of adipose tissue in vivo were observed. These changes correlate to reduced trabecular bone volume and increased adipocyte cell size, as well as cell number. Cell studies 7, 8, 9 comparing differentiation potential of bone marrow mesenchymal stem cells (BMSCs) derived from osteoporotic patients, to that of control BMSCs, have shown unbalanced osteogenic/adipogenic processes, including increased adipose cell formation, counterbalanced by reduced production of osteogenic cells.
These observations, coupled with the proposal that osteogenic and adipogenic differentiation pathways are regulated jointly, point to marrow adipogenesis and fat mass promotion being of concern in osteoporosis 9. However, cellular and molecular mechanisms underlying osteoporosis‐related changes in adipocyte cell volume have not yet been well clarified.
Adipose tissue‐derived mesenchymal stem cells (ADSCs) have been identified as an alternative source of post‐natal progenitor cells and are thought to have several advantages over BMSCs, including simpler harvesting procedures with less pain and donor site morbidity compared to BMSCs, relative abundance, rapidity of expansion in culture and ability to be cryo‐preserved 10, 11, 12, 13. Multipotentiality and accessibility of ADSCs make them promising candidates for potential mesodermal defect repair and disease management 14.
Due to growing attention to ADSCs and their advantages over BMSCs, thorough understanding of the biological properties of ADSCs in relation to osteoporosis is crucial. However, there is only scarce information concerning how osteoporosis affects properties of ADSCs. In the present study, proliferation and adipogenic differentiation potential of ADSCs obtained from ovariectomized (OVX) and control mice have been compared, to determine effects of osteoporosis on ADSCs and to analyse pathological mechanisms of functional changes of ADSCs.
Materials and methods
Development of OVX mouse osteoporosis model
Two‐month‐old healthy female C57BL/6J mice, of similar body mass and from the same batch were selected and randomly divided into two groups: one group was OVX (n = 10) and the other sham‐operated (control) group (n = 10). To induce the osteoporosis model, the mice were anaesthetized by intraperitoneal injection of sodium pentobarbital (40 mg/kg body weight). A lumbar lateral incision was made around the midpoint between lower margin of free ribs and iliac crest, location of the ovary. The ovarian artery and vein were constricted be suture, prior to removal of each ovary. For the sham‐operated group, partial adipose tissue adjacent to bilateral ovaries was resected. To tightly close incisions, muscles were repositioned in layers, and sutured with resorbable suture; skin was closed with nylon 4‐0 suture.
Isolation and culture of mADSCs
Adipose tissue‐derived stem cells from OVX and control (C57) group mice were obtained from inguinal sites. All surgical procedures were performed under approved anaesthetic methods using Nembutal at 35 mg/kg. Inguinal fat pads were dissected from the mice, chopped and washed extensively in sterile PBS to remove contaminating debris. They were then incubated in 0.075% type 1 collagenase (Sigma‐Aldrich, St. Louis, MO, USA) for 50 min at 37 °C with agitation. Cells released from adipose tissues were filtered and collected by centrifugation at 300 g for 5 min. Resulting pellets were re‐suspended, washed three times in medium and cells were seeded in tissue culture‐treated flasks in basic medium (α‐MEM plus 10% FBS). Cultures were maintained in a humidified atmosphere of 5% CO2 at 37 °C and mADSCs were passaged three times prior to all assays.
Cell adhesion and proliferation assay
Cell adhesion and proliferation were monitored using the xCELLigence system (Roche Diagnostics GmbH, Basel, Switzerland). xCELLigence is a method based on impedancemetry to assess global resistance of adherent cells, using a cell index (CI) metric. Variation of CI reflects either variation in cell number or cell morphology and membrane integrity. For the Roche xCelligence system, ADSCs obtained from OVX and C57 group (2 × 103 cells per well) were plated in 96‐well E‐plates and growth was monitored as impedance value continuously, on the RTCA SP xCelligence system for 7 days at 37 °C in 5% CO2. Normalized cell index (CI) was analysed using the provided RTCA software.
Adipogenic induction
Third passage OVX‐ and C57‐mADSCs were respectively seeded into six‐well plates at 1 × 105 cells/cm2. Once 80% confluence was reached, all wells were divided into two experimental groups: with or without adipogenic induction, with at least three parallel wells in each group. Then, all cells were divided into four groups: (i) OVX‐mADSCs with induction (OVX); (ii) OVX‐mADSCs without induction (OVX control); (iii) control (C57)‐mADSCs with induction (C57); (iv) control (C57)‐mADSCs without induction (C57 control). Cells cultured in basic medium alone were set as control (OVX control and C57 control). Cells in induction groups (OVX and C57) were then cultured in adipogenic differentiation medium (AM) containing α‐MEM, 10% FBS, dexamethasone (0.1 μm), insulin (5 μg/ml), indomethacin (0.2 mm) and 3‐isobutyl‐1‐methylxanthine (0.5 mm) (Sigma‐Aldrich, Oakville, ON, Canada).
Oil red‐O staining
Lipid droplets of differentiated mADSCs were analysed using oil red‐O (ORO) staining as follows: cells in each well were fixed in 10% paraformaldehyde solution for 20 min, washed in PBS and stained in ORO (Amresco, Solon, OH, USA) solution (in 60% isopropanol) for 20 min. To quantify adipogenic progress, 10 random microscopic fields (magnification ×200) were observed using an Olympus IX 710 microscope (Olympus, Tokyo, Japan) for each well. Images were captured for each field and image analysis was carried out using Image‐Pro Plus 6.0.0.260 (Media Cybernetics, Silver Spring, MD, USA). After microscopic study, quantification of lipid accumulation was measured by ORO staining extraction assay. Four hundred microlitre extraction solution (100% isopropanol) was added to each well, gently mixed for 15 min, then extract was transferred to a 96‐well plate; absorbance was recorded at 510 nm using a Varioskan Flash spectral scanning multimode reader (Thermo Scientific, Waltham, MA, USA).
Extraction of total RNA, RT‐PCR and real‐time PCR
We assessed expression of PPAR‐γ2, adiponectin (APN) and lipoprotein lipase (LPL) at transcriptional levels by real‐time PCR. Initially, total RNA was extracted from fresh cells using Simply P total RNA extraction kit (BioFlux, Hangzhou, China) and was reverse transcribed into cDNA using a PrimeScript RT reagent Kit with gDNA Eraser (Takara Bio, Tokyo, Japan) according to manufacturer's instructions. Total RNA and cDNA of each sample were examined using agarose gel electrophoresis according to the protocol outlined in Molecular Cloning: A Laboratory Manual (2001, 3rd edition). To establish the standard curve for any certain gene, cDNA samples were amplified using an RT‐PCR kit (Tiangen, Beijing, China) with primers as displayed in Table 1. Expression of certain genes was then quantified with real‐time PCR, utilizing SYBR® Premix ExTaq TM (Perfect Real Time) kit (Takara). Reactions were carried out on an ABI 7300 system (ABI, Foster City, CA, USA). For each reaction, a melting curve was generated to test primer dimer formation and false priming. Then, relative expression of mRNA levels was carried out by means of the double standard curve method. GAPDH was used for normalization of real‐time PCR results.
Table 1.
Genes | NM | Primer sequence (5′–3′) |
---|---|---|
PPARγ2 | NM_011146.3 | F: TGCACTGCCTATGAGCACTT |
R: TGATGTCAAAGGAATGCGAG | ||
APN | NM_009605.4 | F: GCAGAGATGGCACTCCTGGA |
R: CCCTTCAGCTCCTGTCATTCC | ||
LPL | NM_008509.2 | F: AGGGCTCTGCCTGAGTT |
R: AGAAATCTCGAAGGCCTGGT | ||
GAPDH | NM_017008 | F: GACGGCCGCATCTTCTTGTGC |
R: TGCAAATGGCAGCCCTGGTGA |
Immunofluorescence staining of PPAR‐γ and ph‐PPAR‐γ
To demonstrate distribution of PPAR‐γ and PPAR‐γ with phosphoserine at residue 84 (ph‐PPAR‐γ) proteins, cells obtained from OVX and C57 group were respectively seeded into 24‐well plates at 5 × 103cells/cm2 for immunofluorescence (IF) staining. Next cells were induced to adipocytes in AM for 7 days. They were then washed briefly in PBS, fixed in cold paraformaldehyde for 20 min at room temperature, then blocked in 1% bovine serum albumin for 30 min. Plates were subsequently incubated overnight at 4 °C in rabbit polyclonal antibody against PPAR‐γ (1:100) (Abcam, Cambridge, MA, USA) and rabbit polyclonal antibody against PPAR‐γ with phosphoserine at residue 84 (1:100) (Santa Cruz Biotechnology, Santa Cruz, CA, USA). Sequentially, plates were incubated with secondary antibodies conjugated to fluorescein isothiocyanate (Invitrogen, Carlsbad, CA, USA) for 1 h at 37 °C, and nuclei were counterstained with DAPI (Molecular Probes, Eugene, OR, USA) for 5 min. After being rinsed in PBS, cells were observed and photomicrographs were taken using the Olympus IX 710 microscope. To evaluate PPAR‐γ and ph‐PPAR‐γ concentrations, different images were analysed using Image‐Pro Plus 6.0.0.260 and integral optical density (IOD) was measured.
Western blot assay
Western blot analysis was conducted to assess adipogenesis at the protein level using the following primary rabbit antibodies: anti‐PPAR‐γ (1:500; Abcam), anti‐phosphorylated PPAR‐γ (1:200; Santa Cruz Biotechnology) and anti‐GAPDH (1:1000; Abcam). Protein (20 μg) from lysed cells was separated using 10% SDS‐PAGE gels, electrotransferred to PVDF membranes, and probed with specific antibodies, as previously described. Membranes were then hybridized with horseradish peroxidase (HRP)‐conjugated goat anti‐rabbit IgG secondary antibodies (Beyotime, Guangzhou, China) and exposed with enhanced chemiluminescence (Merk Millipore, Schwalbach, Germany). Quantification of intensity of protein in bands was performed using the ChemiDoc XRS imaging system (Bio‐Rad, Hercules, CA, USA). GAPDH was used as load control.
Data analysis
All experiments were repeated a minimum of three times and representative data are presented as mean ± SD. Data were analysed using analysis of variance (ANOVA) testing, and means were compared using the Student–Newman–Keuls (SNK) test. Differences were considered significant if P < 0.05.
Results
Proliferation curve of ADSCs obtained from OVX and control groups
Cells (2 × 103 per well) had been plated in 96‐well E‐plates and growth was monitored by RTCA SP xCelligence system for 7 days (Fig. 1). Medium had been changed in both groups after 24 h. Cell number increased in both groups for 6 days, and proliferation rate of cells of the control group was higher than that of the OVX group, after 48 h.
OVX group ADSCs had more lipid accumulation compared to control cells
Adipose tissue‐derived stem cells had been cultured in 24‐well plates and divided into four groups as previously described. Induction groups (OVX and C57) had been cultured in insulin‐containing cocktail AM, while control groups (OVX control and C57 control) had been cultured in basic medium. After 5 and 7 days differentiation, oil red‐O staining had been performed to analyse adipogenesis in all four groups (Fig. 2a). After staining, oil red‐O spectrophotometer quantification was evaluated for induction groups (Fig. 2b). As the results show, lipid droplets in OVX groups were significantly more concentrated than those in C57 groups on day 5 and 7 respectively.
PPARγ2, APN and LPL mRNAs transcription were enhanced in OVX group ADSCs compared to controls
After 3, 5 and 7 days induction, PPARγ2, APN and LPL mRNAs were detected using real‐time PCR (Fig. 3). mRNA level of PPARγ2 in OVX groups was significantly higher than C57 groups, at each time point. On day 3, mRNA level of PPARγ was significantly higher than that on days 5 and 7 in both OVX and C57 groups, while transcript levels between days 5 and 7 are not significantly different. Transcript levels of the gene coding for APN were similar to PPARγ2. However, APN transcript level in OVX groups on day 5 was found to be significantly higher than on day 7. However, expression of LPL was higher in C57 than OVX groups, opposite of other two genes, while on day 7, expression of LPL was higher in OVX than C57 groups.
PPARγ and ph‐PPARγ protein expression were enhanced in OVX group ADSCs compared to controls
PPAR‐γ of cell cytoplasm is commonly activated by dephosphorylation. Dephosphorylated PPAR‐γ moves into nuclei and functions as an intranuclear transcription factor. After 3, 5 and 7 days differentiation, IF was performed with anti‐PPARγ (Fig. 4) and anti‐ph‐PPARγ (Fig. 5) antibodies. Expression of PPARγ and ph‐PPARγ were both found to be higher in OVX than C57 groups. To evaluate PPAR‐γ and ph‐PPAR‐γ concentrations, integral optical density (IOD) was measured (Fig. 6). We observed that PPAR‐γ expression was higher in OVX groups than in controls at each time point. On day 7, there was a significant difference between OVX (4.88 ± 0.92%) and controls (3.57 ± 0.80%). Expression of ph‐PPAR‐γ was also higher in OVX groups than in controls. On day 3 and 7, IOD was statistically significantly different in OVX groups (2.95 ± 0.37%, 3.21 ± 0.35%) compared to controls (2.64 ± 0.35%, 2.85 ± 0.39%).
Results of Western blot analysis were similar to those of immunofluorescence staining (Fig. 7). By analysing quantification of intensity of proteins, expression of PPARγ and ph‐PPARγ in OVX, were both found to be higher than C57 groups at all three time points (Fig. 7b,c). On day 3 and 7, difference in ratio expression of PPARγ between OVX and controls was significant, while that of ph‐PPARγ expression was significant between the two groups at each time point. Expression of the two proteins increased over induction time, in the OVX group. However in controls, both proteins were reduced by 7 days after differentiation; this might be due to toxic effects of adipogenic induction medium, leading to cell stagnantion. We also determined the ratio of PPARγ/ph‐PPARγ expression (Fig. 7d) which is more important than expression of each protein individually. Results indicated that phosphorylated PPARγ expression increased when expression of active PPARγ protein increased.
Discussion
Osteoporosis is characterized by low bone mass and microarchitectural deterioration of bones, due to more rapid bone resorption than bone formation; this usually leads to bone fragility and increased risks of fractures 15, 16. Such bone defects are frequently found to occur in the proximal femur or distal radius after fracture, metastasis, bone tumour resection, and arthroplasty revision of the knee and hip, in osteoporosis patients 17, 18.
Previous findings have reported that with ageing, adipogenesis is enhanced and that this is associated with reduced osteogenesis 5. These changes are more pronounced in patients with osteoporosis 6. Increased numbers of adipose cells in the bone marrow also have been demonstrated in patients with osteoporosis 19. In newborn mammals, there is no marrow fat; however, number of adipocytes increases with age so that, in humans over 30 years of age, most of the femoral cavity is occupied by adipose tissue 20. Some studies have indicated that in normal pre‐ and post‐menopausal women, total body fat is positively related to bone marrow density (BMD) throughout the skeleton 21, 22. Furthermore, one longitudinal study has shown that changes in BMD at most sites is positively related to rate of change in fat mass 23. However, other independent groups have suggested that excessive fat mass may not protect against reductions in bone mass, or even have a negative relationship between fat mass and bone mass 24, 25. The majority of epidemiological studies have highlighted the existence of the interaction between adiposity and bone. However, based on data generated to date, it is unclear whether fat mass has a beneficial or negative effect on bone. In our study, we also found that fat mass was increased in osteoporosis mice after ovariectomization compared to normal mice. Hence, this study has addressed a key question: what happened to the adipose tissue in osteoporosis mice and relationship and underlying mechanisms between fat mass and osteoporosis?
Similar to bone marrow, adipose tissue 12, 26 is also a considerable source of MSCs with great potential for use in treatment of various diseases, including bone defects or repair 27, 28, 29. Morphological characteristics and expression of surface markers of phenotypic characterization are similar between MSCs from adipose tissue and those from bone marrow. Some researchers have reported similar characteristics between these two cell types 30, 31, others have higher preference for adipose tissue as a source of MSCs. This tissue tends to have higher numbers of stem cells that can be obtained by lipoaspiration, thus, without needing to perform more invasive procedures, aimed exclusively at obtaining MSCs 26. Moreover, in vitro, ADSCs proliferate more rapidly 30, take longer to enter senescence 32 and have a greater ability to be cryopreserved compared to BMSCs 33, 34. Besides these advantages, ADSCs have been shown to possess multi‐lineage potential capable of differentiating into adipogenic, osteogenic, myogenic and chondrogenic cells and comparable functional characteristics as stem cells obtained from the bone marrow 12, 35.
Multipotentiality and accessibility of ADSCs make them promising candidates for treatment of osteoporosis. However, before claiming MSCs from adipose tissue to be the best option for cell therapy, more studies are needed to compare both in vitro and in vivo differential potential of these cells in the treatment of osteoporosis. Moreover, cellular and molecular mechanisms underlying osteoporosis‐related changes in adipocyte cell volume have not yet been sufficiently clarified, and there is scarce information on how osteoporosis affects properties of ADSCs. In the present study, proliferation and adipogenic differentiation potentials of ADSCs obtained from OVX and control mice were compared to determine effects of osteoporosis on ADSCs. The results reveal that ADSCs obtained from the OVX group had more lipid accumulation compared to control cells, and that PPARγ2 and APN mRNA transcription were enhanced in OVX group ADSCs. Interestingly, expression of LPL was higher in C57 than the OVX group, contrary to other two genes. While at day 7, expression of LPL was higher in OVX group than C57 cells. Meanwhile, growth rate of OVX group ADSCs was slower than control cells, which corresponds with previous studies on BMSCs 36.
Intracellular and extracellular environmental signals control ADSC differentiation into osteoblasts or adipocytes. A reciprocal relationship has been postulated to exist between the two differentiation pathways whose alteration would facilitate adipose accretion in the bone marrow, at the expense of osteoblast formation, thus reducing bone mass 8, 9, 37. Previous studies have indicated that MSC commitment and differentiation into a specific phenotype depends on regulation of expression and/or activity of master differentiation genes 38.
Peroxisome proliferator‐activated receptor (PPAR) γ gene is located on chromosome 3p‐25 and plays an important role in regulation of cell differentiation, development and metabolism 39. The PPARγ pathway is the master regulator of adipogenesis, and has been indicated as a critical switch in commitment of progenitor cells to either the adipogenic or osteogenic pathway 7, 38. PPAR‐γ is commonly activated by dephosphorylation in cytoplasm. Dephosphorylated PPAR‐γ moves into nuclei and functions as an intranuclear transcription factor. Results here, of immunofluorescence staining and Western blot analysis indicate that PPARγ and ph‐PPARγ protein expression were both enhanced in OVX group ADSCs, which promoted their adipogenic differentiation process. We also determined the ratio of PPARγ/ph‐PPARγ expression. The results show that phosphorylated PPARγ expression enhanced while expression of active PPARγ protein increased, although the mechanism involved needs further study. Phosphorylation of PPARγ2 at Ser112 by secretory factors such as epidermal growth factor and platelet‐derived growth factor, results in impaired PPARγ2 transcriptional activity 40. However, previous studies have indicated that phosphorylation of PPARγ by cyclin‐dependent kinase 5 (Cdk5) at Ser273 is linked to diabetic changes 41. Down‐regulation of PPARγ is considered a novel strategy to promote bone regeneration, which is critical in the treatment of bone defects caused by trauma or bone resorption 42. Stimulation of PPARγ therefore might have an impact on bone metabolism by determining lineage commitment of ADSCs.
Adiponectin is the most abundant protein derived from adipocytes. Previous studies have suggested that APN and its receptors are expressed in bone‐forming cells 43. Some studies have revealed that human osteoblasts treated with APN have increased proliferation, differentiation and mineralization, suggesting a positive effect of APN on bone formation 44. Clinical studies show that increasing levels of APN are associated with a significantly reduction in whole body bone mineral content and BMD, indicating a negative association between APN and BMD 45, 46. Studies using mouse models have further confirmed the role of APN in negative regulation of BMD.
Lipoprotein lipase is a multifunctional enzyme produced by many tissues, including adipose tissue, cardiac and skeletal muscle, islets of Langerhans, and macrophages 47. It is responsible for hydrolysis of core triglycerides (TGs) in chylomicrons and very low‐density lipoproteins, producing chylomicron remnants and intermediate‐density lipoproteins respectively 48. Enzymatic activity of LPL is regulated in a complex manner in response to hormonal changes, due to such as testosterone and oestrogen. In mice, addition of 17β‐estradiol to hearts from OVX females increases LPL mRNA. This effect on LPL is blocked by oestrogen receptor antagonist ICI‐182,780 or by progesterone 49. In post‐menopausal women, treatment with both oestrogen and progestin increases LPL activity in adipose tissue, preferentially in the femoral depot 50. Calcium also has been shown to trigger folding of LPL into active dimers 51, a process that might also be involved in post‐translational regulation of LPL activity. Here, in OVX‐induced osteoporosis, oestrogen and calcium content were reduced which may be why at days 3 and 5, expression of LPL mRNA in the OVX group was lower than that of the C57 group. LPL expression increases as pre‐adipocytes differentiate 52, which may be the reason for LPL mRNA expression being higher in the OVX group at day 7. More detailed mechanistic studies need to be performed before utilizing the ability to selectively modify LPL in adipose tissue in therapy strategies for osteoporosis.
In present study, we compared proliferation and adipogenic differentiation potentials of ADSCs obtained from OVX and control mice. Our findings suggest that enhanced adipogenic differentiation of ADSCs is likely to be the important cause for increased adipogenesis in vivo and subsequent obesity‐like changes in body mass of mice after ovariectomy.
Conflict of interests
The authors have declared that no competing interests exist.
Acknowledgements
This work was funded by National Natural Science Foundation of China (31170929, 81201211), Doctoral Fund of Ministry of Education of China (20110181120071, 20130181110012) and Funding of State Key Laboratory of Oral Diseases (SKLOD201405).
Y. Fu and R. Li contributed equally to this work.
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