Abstract
Patients who sustain a traumatic brain injury (TBI) are known to have a significantly quicker fracture healing time than patients with isolated fractures, but the underlying mechanism has yet to be identified. In this study, we found that the upregulation of miRNA-26a-5p induced by TBI correlated with a decrease in phosphatase and tensin homolog (PTEN) in callus formation. In vitro, overexpressing miRNA-26a-5p inhibited PTEN expression and accelerated osteoblast differentiation, whereas silencing of miRNA-26a-5p inhibited osteoblast activity. Reduction of PTEN facilitated osteoblast differentiation via the PI3K/AKT signaling pathway. Through luciferase assays, we found evidence that PTEN is a miRNA-26a-5p target gene that negatively regulates the differentiation of osteoblasts. Moreover, the present study confirmed that preinjection of agomiR-26a-5p leads to increased bone formation. Collectively, these results indicate that miRNA-26a-5p overexpression may be a key factor governing the improved fracture healing observed in TBI patients after the downregulation of PTEN and PI3K/AKT signaling. Upregulation of miRNA-26a-5p may therefore be a promising therapeutic strategy for promoting fracture healing.
Keywords: traumatic brain injury, fracture, miRNA, PTEN
Introduction
Patients with fractures and traumatic brain injuries (TBIs) are commonly observed in trauma settings. Those with both TBI and bone fracture have long been believed to heal more quickly than those with an isolated bone fracture. Researchers have suggested that there is an association between TBI, rapid callus formation, and heterotopic ossification in over 20% of cases.1, 2 In an in vivo study, Locher et al.3 suggested that TBIs can result in increased callus formation and higher mineral density compared with normal bone healing. The mechanisms underlying this phenomenon, however, remain unexplained.
Bone remodeling is an essential process in fracture healing, with osteoblasts being the primary mediators of bone formation.4 In recent decades, many researchers have shown that osteoblast differentiation is triggered by up- or downregulation of the hormones and growth factors that influence osteoblast differentiation and proliferation.5, 6, 7, 8, 9 MicroRNAs (miRNAs) are also believed to be significant regulators of osteoblast differentiation and bone development.10, 11 New evidence regarding the relationship between miRNAs and osteoblast differentiation has been identified.12 An in vitro study has also indicated that miR-208a-3p suppresses the differentiation of osteoblasts by ACVR1 targeting.13 Many relevant miRNAs, however, have thus far been assessed only in vitro. A wide range of factors influence osteoblast differentiation and miRNA expression, including cytokines (e.g., RANKL and BMP), signal transduction proteins (e.g., Wnt), and transcription factors (e.g., FOXO1 and Runx2).14, 15, 16, 17, 18 Several miRNAs are aberrantly expressed in TBI, playing various roles during the brain-injury-repair process.19, 20 MiR-26a-5p is a small noncoding RNA that has been reported to be upregulated after TBI. It also plays several widely reported roles in human health and disease.21 Li et al.22 reported that miR-26a is essential for the regulation of bone growth in individuals with osteoporosis, and administration of miRNA-26a treatment is sufficient to improve mesenchymal-stem-cell-associated osteogenesis. At present, however, we are not aware of any studies that assessed the effects of miRNA-26a on the osteogenic differentiation capabilities of MC3T3-E1 cells.
The gene, phosphatase and tensin homolog deleted on human chromosome 10 (PTEN), codes for a tumor-suppressor PIP phosphatase protein important for phosphatidylinositol (PI) (3,4,5) P3 dephosphorylation, thereby suppressing PI3K signaling.23, 24 The pathological role of PTEN in humans has been well described. Specifically, it has been linked to the D3 dephosphorylation of the inositol ring of PI 3,4,5-trisphosphate, PI 3,4-diphosphate, PI 3-phosphate, and inositol 1,3,4,5-tetrakisphosphate.25, 26, 27, 28, 29, 30 The physiological role of PTEN, as well as the miRNAs that serve as its upstream regulators, are still poorly understood. With respect to bone remodeling, evidence from an in vitro study investigating the endogenous role of PTEN in osteoblasts suggests that bone mass can be maintained by promoting the degradation of PTEN.30, 31 Downregulation of PTEN in bone cells increases endogenous bone mass by PI3K and AKT activation.30
In this study, we sought to assess the underlying mechanisms governing the phenomenon wherein TBI accelerates bone healing in patients with fracture, with a particular focus on miRNA-26a-5p, which is markedly elevated in patients with TBI. In addition, we also aimed to directly target PTEN and to test miRNA-26a-5p and its argonaute miRNA (agomiRNA) for their osteogenic potential in MC3T3-E1 cells.
Results
Serum and Callus miRNA-26a-5p Levels Are Increased after TBI
Clinical data indicated that fractures in patients with TBI healed noticeably faster than those in patients with an isolated fracture (Figure 1A). As miRNA-26a-5p has been linked to osteogenesis and bone formation,32 we evaluated miRNA-26a-5p expression in the serum of 18 patients in three groups (control, fracture, and fracture+TBI) by real-time qPCR. To minimize the influence of confounding factors, such as age and gender, all serum specimens were collected from male patients between 30 and 45 years of age. Serum miRNA-26a-5p levels in the fracture+TBI group were significantly increased relative to the isolated-fracture group at 24 and 72 h after injury (Figure 1B). Calluses were collected from patients during surgery and were analyzed by real-time qPCR, revealing that miRNA-26a-5p expression in samples from the fracture+TBI group were significantly increased relative to that in the fracture group (Figures 1C and 1D).
Next, mouse models of isolated fracture and fracture+TBI were developed and were used to assess miRNA-26a-5p levels by real-time PCR. Serum miRNA-26a-5p levels in the fracture+TBI model animals significantly increased relative to that in the fracture-only animals at 24 and 72 h after injury (Figure 2A). Quantitative micro-computed tomography (mCT) was used to assess key parameters within the fractured femur bone, such as trabecular bone volume (BV/TV), trabecular number (Tb.N), trabecular separation (Tb.Sp), and trabecular thickness (Tb.Th), and callus volume was further quantified by mCT. Total and callus bone volumes were increased in the fracture+TBI animals relative to those in fracture-only animals on post-fracture day 14, with a significant increase in bone mineral density (BMD) in the fracture+TBI group relative to the fracture group on post-fracture day 21 (Figures 2B–2F).
miRNA-26a-5p Promotes Matrix Mineralization and Osteoblastogenesis
We next assessed the effect of miR-26a-5p on osteoblastogenesis by treating MC3T3-E1 cells with agomiR-negative control (agomiR-NC), agomiR-26a-5p, antagomiR-negative control (antagomiR-NC), antagomiR-26a-5p, or Lipofectamine 3000 only, as a control. We found that miR-26a-5p was upregulated in cells treated with agomiR-26a-5p (Figure 3A). In vitro, the effects of miR-26a-5p were next evaluated by investigating osteoblast activity and the expression of genes linked with bone formation, including alkaline phosphatase (ALP), Col1a1, OCN, and Runx2. After the cells were transfected with the above constructs for 48 h, qPCR and western blot analysis were used to assess these bone formation markers, revealing a significant increase in all the markers in the agomiR-26a-5p group, relative to the other groups (Figures 3B–3F). The relative intensity of western blots of the ALP, Col1a1, OCN, and Runx2 proteins in MC3T3-E1 cells treated with agomiR-NC, agomiR-26a-5p, antagomiR-NC, antagomiR-26a-5, or the corresponding controls for 48 h can be seen in Figure S1.
Furthermore, to assess how miRNA-26a-5p influences extracellular matrix mineralization, we transfected cells as above, and after continuous culturing for 21 days, higher mineral deposition was evident in the agomiR-26a-5p group relative to other groups, especially when compared to antagomiR-26a-5p (Figures 3G and 3H). Collectively, our results indicated that miRNA-26a-5p positively regulates osteoblastogenesis and thereby accelerates ALP activity and mineralization.
miRNA-26a-5p Directly Targets PTEN
To investigate whether miRNA-26a-5p serves to target PTEN directly, we used either a wild-type (WT) PTEN 3′ UTR or a mutant-type (Mut) PTEN 3′ UTR construct fused to a luciferase reporter (Figure 4A). Using these constructs, we found that antagomiR-26a-5p, but not antagomiR-NC, substantially increased WT PTEN 3′ UTR reporter activity (Figure 4A), whereas it failed to enhance the activity of the mutated 3′ UTR PTEN reporter (Figure 4B). WT PTEN 3′ UTR reporter activity rose significantly after a reduction in endogenous miRNA-26a-5p levels following antagomiR-26a-5p treatment of these MC3T3-E1 cells (Figures 4A and 4B). When cells were transfected with the miRNA constructs for 48 h, we observed lower relative PTEN mRNA levels in the agomiR-26a-5p group, compared with the other groups (Figures 4C and 4D). In order to explore the connection between miRNA-26a-5p and PTEN, we thoroughly examined the expression of PTEN in the context of osteoblast differentiation. Calluses from patients and animal models of fracture or TBI+fracture were collected, and the relative PTEN mRNA levels were assessed by western blot analysis. We observed that there was a significant downregulation of PTEN in both patients and mice with fracture+TBI, relative to their fracture-only counterparts (Figures 4E and 4F), and we calculated the relative intensity of the western blots (Figures S2A–S2D).
To investigate whether osteoblast differentiation is PTEN dependent, we next assessed how PTEN siRNA affects osteoblastogenesis. PCR and western blot analysis revealed that siRNA-PTEN upregulated ALP, Col1a1, Runx2, and OCN (Figures 4G and 4H). Taken together, our results confirmed that miRNA-26a-5p directly targets the 3′ UTR of PTEN in the context of the differentiation of osteoblasts.
PI3K/AKT Signaling Is Involved in PTEN-Regulated Osteoblast Differentiation
In order to further clarify the relationship between PTEN and PI3K/AKT signaling, PI3K, phosphorylated PI3K (p-PI3K), AKT, and phosphorylated AKT (p-AKT) levels were assessed by western blot analysis in cells transfected with the various miRNA constructs, and the relative intensity of the western blots was calculated (Figures S3A–S3C). We found p-PI3K and p-AKT levels in the agomiR-26a-5p group to be higher than in other groups (Figure 5A). To explore how PTEN influences PI3K/AKT signaling, we used PTEN siRNA, PI3K siRNA, and AKT siRNA constructs and investigated their effects on PI3K/AKT signaling. The PTEN siRNA, PI3K siRNA, and AKT siRNA groups all exhibited significant inhibition of the phosphorylation of PI3K and AKT (Figures 5B and 5C).
To investigate whether osteoblastogenesis is dependent upon PI3K/AKT, we employed the PI3K- and AKT-targeting siRNAs to assess their effects on this process. We found that suppressing PI3K and AKT led to decreased ALP, Col1a1, Runx2, and OCN expression (Figures 5D–5H) when we calculated the relative intensity of the western blots (Figure S3D). Furthermore, to investigate how PI3K and AKT influence extracellular matrix mineralization, the cells were transfected with control siRNA or siRNAs targeting AKT or PI3K. After continuous cultivation for 21 days, lower mineral deposition was observed in the PI3K and AKT siRNA groups, relative to the control cells (Figure 5I). Similarly, PI3K and AKT siRNAs reduced ALP activity and staining in the PI3K and AKT siRNA groups (Figure 5J).
Local Administration of miRNA-26a-5p Accelerates Femur Fracture Healing in Mice
It has been reported that intraperitoneal injection of locked nucleic acid (LNA) can effectively knockdown specific miRNAs.33 We therefore administered PBS, agomiR-26a-5p, or antagomiR-26a-5p directly to the local fracture site in our model animals, to assess whether agomiR-26a-5p improves fracture healing. Local injection was performed at three time points (days 1, 3, and 7) after injury, and CT examination was performed at 14 and 21 days after injury. Mice were sacrificed after each mCT examination, bone calluses at the fractured position were harvested for western blot and PCR analyses, and the relative intensity of western blots was calculated (Figures S4A and S4B). Mice treated with agomiR-26a-5p exhibited a greater callus volume and reduced fracture gap relative to control and antagomiR-26a-5p animals (Figure 6A). By day 21, animals in the agomiR-26a-5p group, but not in the control or antagomiR-26a-5p groups, exhibited a lack of any visible boundary between the hardened callus and the cortical bone, with clear evidence of remodeling. Furthermore, in agomiR-26a-5p animals, there was a greater total and bone callus volume relative to control and antagomiR-26a-5p animals on post-fracture day 14, and the difference remained significant between agomiR-26a-5p and antagomiR-26a-5p animals on post-fracture day 21. In addition, agomiR-26a-5p animals exhibited significantly higher BMD than did the animals in the other two groups (Figures 6B–6E). In addition, bone formation marker genes were markedly upregulated in the agomiR-26a-5p group, compared with the other groups (Figures 6F–6K). These results indicate that miRNA-26a-5p acts as a positive regulator that accelerates fracture healing.
Discussion
With the increasing incidence of traffic accidents, TBI and bone fracture are important public health concerns. There is clear value in identifying the association between TBI and bone fracture healing, as such research may provide novel insights allowing for improved bone formation and fracture healing. TBI is thought to promote the expression of pro-osteogenic genes and to drive increased bone mineral deposition.34, 35, 36 Several miRNAs are known to regulate the expression of osteogenic genes linked to bone remodeling, and they can further regulate human osteopathy.37, 38, 39, 40, 41 These miRNAs regulate target mRNA expression, and stimulating of miRNAs using agomiRNAs can thus modulate mRNA expression.42 Previous research has largely explored the role of biotic factors in bone remodeling, with few studies exploring the association between TBI-related miRNAs and bone healing.30, 31, 32, 33, 43, 44 Therefore, this study identified miRNA-26a-5p in osteoblasts as a key activator of bone formation in the context of TBI. The findings indicate that activating miRNA-26a-5p in osteoblasts in a therapeutic context may be of value, resulting in improved bone development and fracture healing.
Previous work has revealed that miRNA-26a-5p is expressed in chronic lymphocytic leukemia, lymphomas, and bone defects, indicating that miRNA-26a-5p participates in immunoreactivity and tissue regeneration.45, 46, 47 Several studies have indicated that TBI modulates the expression of many miRNAs that regulate cellular responses to this condition.48, 49, 50, 51 Because miRNA-26a-5p levels rise in TBI patients and the increase was validated in our study, we investigated the effects of miRNA-26a-5p in fracture healing. We ultimately clarified a novel mechanism wherein miRNA-26a-5p regulates PTEN expression in bone tissue. When PTEN expression is suppressed, it drives the expression of genes associated with osteoblastogenesis and promotes bone formation. PTEN expression is controlled at multiple levels in a cell-type, context-dependent manner.24, 25, 30 We found that miRNA-26a-5p expression modulates PTEN expression, indicating that PTEN is likely a functional miRNA-26a-5p target, explaining its ability to modulate bone formation.
PI3K/AKT signaling is a cell-growth-regulatory pathway involved in many diseases.52, 53 Previous studies54, 55 suggested that this pathway is essential for the differentiation of bone progenitor cells. Fan et al.54 suggested that tetrahydroxystilbene glucoside (TSG) can promote the differentiation of MC3T3-E1 cells via activation of PI3K/AKT signaling. In addition, the importance of PTEN as a regulator of PI3K/AKT signaling in osteoblasts has been validated in another study.30 Herein, we found that downregulation of PTEN activated PI3K/AKT signaling, leading to the overexpression of osteoblast-specific gene transcription.
In the present study, we focused our research only on middle-aged males, in order to exclude the effects of sex or age on the expression of miRNAs. Future studies should therefore extend these findings to female patients and individuals of different ages. In addition, we were not able to collect calluses from all patients on the same day after injury, and the expression of miRNA-26a-5p levels in the calluses may have been affected by the different times of surgery and the differences between individual patients. Even so, our study suggests the potential value of the therapeutic activation of miRNA-26a-5p in osteoblasts as a means of accelerating fracture healing. More work is needed to investigate the extent of miRNA-26a-5p dysfunction in bone formation in the context of TBI.
Conclusions
This study indicates not only that the stimulation of miRNA-26a-5p using agomiR-26a-5p increases osteoblast differentiation in MC3T3-E1 cells, but it highlights the potential signaling pathways involved in regulating fracture healing in the context of TBI (Figure 7). Moreover, treatment with agomiR-26a-5p decreased PTEN expression and increased bone formation marker gene expression, suggesting that bone architecture is also improved by this treatment. Overall, this allows us to conclude that the activation of miRNA-26a-5p and the subsequent decrease in PTEN expression by agomiR-26a-5p represents a promising therapeutic approach for accelerating fracture healing.
Materials and Methods
Human Serum and Bone Tissue Preparation
Serum from 18 male patients (including 6 without fractures, 6 with fractures patients, and 6 with fracture+TBI) were obtained from the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, via venous blood draw. Twelve calluses were obtained from the patients who had fractures or fractures+TBI. The clinical information of those patients is presented in Table S1; their mean age was 38.78 ± 6.02 years. Admitted patients underwent conventional X-ray imaging of fractures, and the Glasgow Coma Scale (GCS) was used to identify patients with a TBI, which was ultimately diagnosed on the basis of a GCS score of 9 to 12, together with CT findings. Those in the fracture-only group had GCS scores of 13 or higher. Patients with previous bone-related or nervous system diseases, malignant disease, open type III fractures, diabetes, autoimmune diseases, or other chronic inflammatory disease were excluded, as were patients with a history of prolonged use of steroids, non-steroidal anti-inflammatory drugs, or immunosuppressant agents or of bisphosphonate therapy. The Committees of Clinical Ethics in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (Wuhan, China), approved all studies, and informed consent was obtained from all participants.
Femoral Fracture Models
A total of 18 male C57BL/6J mice (age 6 weeks) were from The Center of Experimental Animals, Tongji Medical College, Huazhong University of Science and Technology. We used 10% chloral hydrate (0.3 mL/100 g body weight) for anesthesia. The Institutional Animal Care and Use Committee at Tongji Medical College, Huazhong University of Science and Technology, approved all animal studies. A mouse femoral fracture model was created surgically by longitudinal incision and blunt separation of the underlying muscles without removal of the periosteum, as described in a previous study.39 A diamond disk was used to cut the femur, producing a transverse osteotomy in the mid-diaphysis region. The fractures were then stabilized with a 23G intramedullary needle. After 14 days, half of the mice were sacrificed, and the calluses at the fracture location were harvested for subsequent analysis. On day 21 after the operation, the remaining mice were sacrificed, and the callus was harvested for subsequent analysis.
Fracture Concomitant with TBI Mouse Models
Six of the 18 mice were modeled as fractures concomitant with TBI. A weight-drop device was used to model TBI.56 The mice were anesthetized and placed under this device on a platform, with the skull being exposed by a 1.0 cm midline longitudinal scalp incision made with a power micro drill. Once a 1.5 mm impact area was exposed, a 24 newton weight was dropped onto this area from 5 cm above. Thereafter, the wound was closed, and the animals were returned to their cages.
Blood Collection
Blood samples were collected via the orbital canthus vein, 1 and 3 days after surgery for determination of miRNA-26a-5p levels. miRNA-26a-5p levels were analyzed by qPCR.
mCT Analysis
The fracture site was scanned with a Bruker SkyScan 1176 scanner mCT system to provide images at 2,400 views, 5 frames/view, 37 kV, and 121 mA, and these images were then analyzed with Bruker mCT evaluation software, to facilitate segmentation and 3-dimensional morphometric analysis and to measure density and distance parameters (Bruker, Germany). The soft tissues were removed thoroughly from the bone, and ethanol was used to fix the femurs. After the scanning, the calluses were preserved at −80°C for miRNA detection by PCR and western blot analysis. Parameters measured were as follows: Tb.N, BV/TV per tissue volume, average cortical thickness (Ct.Th), cortical area fraction (Ct.Ar/Tt.Ar), cortical bone area (Ct.Ar), Tb.Sp., Tb.Th, total cross-sectional area (Tt.Ar), and BMD.
Western Blot Analysis
Calluses or cells were lysed with lysis buffer (AS1004; Aspen, South Africa) with 1% protease inhibitor (AS1008; Aspen, South Africa) on ice. The protein fractions were collected and underwent SDS-PAGE separation, followed by transfer onto a nitrocellulose membrane (IPVH00010; Millipore, USA). Membranes were blocked using 5% skim milk and then probed at 4°C overnight with primary antibodies, followed by horseradish-peroxidase (HRP)-conjugated secondary antibodies (AS1058; Aspen, South Africa). A chemiluminescence detection system (LiDE110; Canon, Japan ) was used to visualize protein based on provided directions. Antibodies were as follows: anti-collagen I (1:500, ab34710; Abcam, USA, ), anti-ALP (1:1,000, ab95462; Abcam, USA), anti-osteocalcin (1:500, ab93876; Abcam, USA), anti-RunX2 (1:500, ab23981; Abcam, USA), anti-PTEN (1:2,000, 9188; CST, USA, ), anti-p-AKT (1:1,000, 4060; CST, USA), anti-AKT (1:2,000, 9272; CST, USA), anti-p-PI3K (1:500, ab182651; Abcam, USA), anti-PI3K (1:2,000, 4292; Abcam, USA), and anti-glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (1:10,000, ab37168; Abcam, USA). All experiments were conducted in triplicate.
miRNA Extraction and qPCR
RNAlater (76104; QIAGEN, Germany) was used to preserve callus samples prior to miRNA extraction. TRIzol (15596018; Invitrogen, USA) was used for RNA extraction, based on provided protocols. cDNA was generated through the one-step Prime Script miRNA cDNA synthesis kit, and SYBR Premix Ex TaqII (RR820A; TaKaRa, Japan) was used for amplification of equivalent cDNA amounts. A Thermal Cycler C-1000 Touch system (CFX Manager, 10021377; Bio-Rad, USA) was used to perform qPCR analysis, with the U6 small nuclear RNA (snRNA) or GAPDH mRNA used for normalization. The data are given as fold change over the appropriate controls. All primer sequences are shown in Table 1.
Table 1.
microRNA or Gene Name | Primer Sequence (5′ to 3′) |
---|---|
Mmu-miR-26a-5p-forward | GGTTCAAGTAATCCAGGATAGGCT |
Mmu-miR-26a-5p-reverse | CTCAACTGGTGTCGTGGAGTC |
Mmu-miR-U6-forward | CTCGCTTCGGCAGCACAT |
Mmu-miR-U6-reverse | AACGCTTCACGAATTTGCGT |
M-PTEN-forward | TGAGAGACATTATGACACCGCC |
M-PTEN-reverse | TTACAGTGAATTGCTGCAACATG |
M-ALP-forward | TGACTACCACTCGGGTGAACC |
M-ALP-reverse | TGATATGCGATGTCCTTGCAG |
M-COL1A1-forward | CTGACTGGAAGAGCGGAGAG |
M-COL1A1 | CGGCTGAGTAGGGAACACAC |
M-OCN-forward | TTCTGCTCACTCTGCTGACCC |
M-OCN-reverse | CTGATAGCTCGTCACAAGCAGG |
M-Runx2-forward | CGCCACCACTCACTACCACAC |
M-Runx2-reverse | TGGATTTAATAGCGTGCTGCC |
M-GAPDH-forward | TGAAGGGTGGAGCCAAAAG |
M-GAPDH-reverse | AGTCTTCTGGGTGGCAGTGAT |
Cell Culture and Transfection
MC3T3-E1 cells, which are mouse osteoblasts, were a kind donation from the Huazhong University of Science and Technology (Wuhan, China). The α-minimal essential medium (α-MEM; SH30265.01B; Hyclone, USA) used for their growth contained 10% fetal bovine serum (FBS, 10099141; Gibco, USA) and 1% penicillin and streptomycin (SV30010; Hyclone, USA). The cells were grown at 37°C with 5% CO2 at 95% humidity and were used for up to eight passages. Transfection of agomiR-26a-5p, agomiR-NC, antagomiR-26a-5p, and antagomiR-NC (GenePharma Shanghai) at 200 μM was conducted using Lipofectamine 3000 (L3000001; Thermo Fisher Scientific, USA) based on provided directions. Lipofectamine 3000 was also used to transfect cells with miRNAs or siRNA oligos. Cells were transfected with PTEN siRNA, PI3K siRNA, and AKT siRNA (RIBOBIO, Guangzhou) at 50 nM.
ALP Staining
A 5-bromo-4-chloro-3-indolyl phosphate/nitro blue tetrazolium (BCIP/NBT) ALP color-development kit (C3206; Beyotime, China) was used according to the provided directions to assess ALP staining. Briefly, after the cells were washed twice with PBS, they were fixed with 10% formalin for 15 min. The BCIP/NBT liquid substrate was then applied to the cells for 24 h. The samples were prepared in the dark at room temperature. The color change was observed with a charge-coupled device (CCD) microscope, and the stained cell cultures were imaged with a scanner (V600; Epson, Japan). The samples were analyzed in triplicate.
Alizarin Red Staining
MC3T3-E1 cells were grown in osteogenic medium supplemented with 100 nM dexamethasone, 50 mM ascorbic acid, and 10 mM b-glycerophosphate (HUXMA-90021; Cyagen, USA) in six-well plates to induce osteoblast mineralization. The cells were fixed in 10% formalin at room temperature for 15 min, after which they were washed in 2 mL PBS and stained with 1 mL 0.5% alizarin red staining solution at room temperature for 15 min. The cells were rinsed with distilled water for 5 min with shaking, and red mineralized nodules were assessed with a CCD microscope and scanned (V600; Epson, Japan). All the staining experiments were repeated three times.
Luciferase Reporter Assay
The mouse PTEN 3′ UTR region, which contained a miR-26a-5p binding sequence, was amplified by PCR from murine genomic DNA and subcloned into the pGL3 vector (E1741; Promega, USA). A QuikChange Site-Directed Mutagenesis Kit (210518; Stratagene, USA) was used to mutate this sequence. MC3T3-E1 cells (2.5 × 105 cells per well) were transiently transfected in 24-well plates with Lipofectamine 3000 (L3000001 Thermo Fisher Scientific, USA). Both 100 ng luciferase constructs and 10 ng pRL-TK (E2241; Promega, USA) Renilla luciferase plasmid were transfected into the cells, and a dual luciferase reporter assay system (E1910; Promega, USA) was then used, according to the directions provided. A luminometer (Glomax, Promega) was used for quantification, with firefly luciferase activity being normalized to that of Renilla luciferase.
Therapeutic Stimulation of miR-26a-5p in the Fracture Group
Mice were injected locally, using PBS (control group), agomiR-26a-5p (agomiR-26a-5p group), and antagomiR-26a-5p (antagomiR-26a-5p group), at the fracture sites. A volume of 0.1 mL per injection was administered on days 1, 3, and 7 after fracture induction. agomiR-26a-5p and antagomiR-26a-5p were purchased from GenePharma Shanghai. After the experiments were completed, the animals were euthanized, bones and calluses were isolated, and miR-26a-5p expression was analyzed.
Statistical Analysis
Data are means ± SD, and Prism 6.0 (GraphPad Software, La Jolla, CA) was used for all analyses, unless otherwise noted. One-way analysis of variance with Tukey’s post hoc test was applied to compare three or more groups, and two-tailed Student’s test was applied to compare data between two groups. p < 0.05 was deemed statistically significant.
Author Contributions
Y. X., B.M., and G.L. conceived and designed the experiments. Y.X., B.M., G.L., C.Y., L.C., H.X., Q.W., L.H., Y.L., W.Z., and Y.S. performed the experiments. Y.X., B.M., G.L., and H.X. analyzed the data. P.Z., J.L., and Q.W. contributed reagents, materials, and analysis tools. C.Y. and A.C.P. performed statistical analyses. Y.X. and B.M. wrote the paper. A.C.P. edited the manuscript.
Conflicts of Interest
The authors declare no competing interests.
Acknowledgments
Our work was supported by the National Science Foundation of China (81772345), the Healthy Commission Key Project of Hubei Province (WJ2019Z009), the Science and Technology Department of Hubei Province (2016CFB424), and the Development Center for Medical Science and Technology, National Health and Family Planning Commission of the People’s Republic of China (ZX-01-C2016024).
Footnotes
Supplemental Information can be found online at https://doi.org/10.1016/j.omtn.2019.06.001.
Contributor Information
Bobin Mi, Email: mi19882@163.com.
Guohui Liu, Email: liuguohui@hust.edu.cn.
Supplemental Information
References
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