1. Introduction
Reactive oxygen species (ROS) are well known to be composed of superoxide anions, hydrogen peroxide (H
2O
2) and hydrogen radical containing oxygen, and are normal products of cellular metabolism. ROS are continuously produced during the metabolic processes in the body and are closely related to the prevalence of various diseases, as they act as important physiological regulators of intracellular signaling pathways and gene expression [
1]. ROS are generated by the action of nicotinamide adenine dinucleotide phosphate (NADPH) oxidases and the mitochondrial electron transport process [
2]. ROS overproduction by excessive stimulation of NADPH results in oxidative stress; the elevated ROS levels can cause oxidative DNA, RNA, proteins, and lipids, and the increased ROS activity can affect the pathophysiology of cancer, aging, diabetes, atherosclerosis, rheumatoid arthritis, or other diseases [
3]. According to recent studies related to ROS in bone metabolism, ROS production is a key factor of bone cell function and this elevated oxidative stress influences in bone homeostasis [
4,
5,
6].
Regulation of homeostasis in bone metabolism can rely upon the reciprocal cooperation between bone resorption by osteoclasts and bone formation by osteoblasts. Abnormal reduction in the bone mass by excess osteoclasts has been reported in bone-related diseases such as bone destruction, fracture, rheumatoid arthritis, and osteoporosis [
7]. Osteoclasts differentiate from bone marrow macrophages (BMMs) derived from the monocyte/macrophage cell lineage in bone marrow cells (BMCs) [
8]. Osteoclasts formed by the modulation of receptor activator of nuclear factor-κB ligand (RANKL) and macrophage colony-stimulating factor (M-CSF) for their survival, proliferation, differentiation, and activation. RANKL-induced osteoclast differentiation is subject to recruitment of tumor necrosis factor receptor -associated factor 6 (TRAF6), mitogen-activated protein kinases (MAPKs), and activator protein-1 (AP-1) [
9]. In particular, nuclear factor-activated T cells c1 (NFATc1) is a master transcription factor of osteoclastogenesis, and ultimately controls bone resorption and function via regulating many osteoclast-specific markers including
cathepsin K (
CtsK),
osteoclast-associated receptor (
OSCAR), and
v-ATPase subunit d2 (
ATP6v0d2) [
9,
10,
11,
12]. RANKL also induces the generation of ROS, causing oxidative stress during osteoclastogenesis in BMMs, and this generated ROS is involved in the signaling of TRAF6, MAPKs, and NADPH oxidases (Nox isoforms) [
6,
10]. Therefore, the enzymes involved in H
2O
2 production may exert a strong influence on osteoclast differentiation in bone.
The Nox family comprises seven isoforms: Nox1-5, dual oxidase 1 (Duox1), and dual oxidase 2 (Duox2). These are ubiquitously identified in various cell types including the epithelium and endothelium but they have general distribution patterns of H
2O
2-production and expressions [
13]. Interestingly, several tissues were found to express dual oxidase maturation factor 1 (Duoxa1) and relatively elevated levels of Duoxa1 protein were specifically found in several tissues including the thyroid gland, respiratory system, salivary gland, and brain [
13,
14,
15]. Duoxa1 and Duoxa2 form functional heterodimeric complexes with each Duox1 and Duox2, respectively, and these complex formations need the translocation of the elements to the plasma membrane to transmit their oxidase activity [
3]. In the absence of Duoxa1, Duox cannot produce H
2O
2 in the thyroid and lung [
16,
17]. Duoxa1 is known to function as a maturation factor for Duox1; however, since Duox1 fails to appear in microglia, it may have an undetected function in mouse microglia [
14]. Another report indicated that overexpression of Duoxa1 in muscle stem cells induces apoptosis and suppresses myogenesis through the increased ROS generation and a mechanism involving Duox1 and apoptosis signal-regulating kinase 1 [
13].
Among the seven Nox family members, Nox1, Nox2, and Nox4 have been identified to be implicated in osteoclast differentiation [
18,
19,
20]. Knockdown of Nox1 in BMM cells resulted in a decrease in RANKL-mediated ROS generation and osteoclastogenesis. Nox2
−/− and Nox4
−/− knock out mice each exhibited higher bone density and decreased numbers of osteoclasts [
19,
20]. These reports indicated that Nox family members control bone homeostasis via the regulation of ROS levels. However, the role of Duox and/or Duoxa in bone metabolism remains unclear.
To elucidate the regulatory mechanism of Duox and/or Duoxa enzymes related to H2O2 production in osteoclast differentiation, we performed quantitative real-time RT-PCR (qRT-PCR) analysis in RANKL-induced BMMs. We found that Duoxa1 was significantly upregulated in RANKL-induced BMMs, whereas Duox1, Duox2 and Duoxa2 expression was not; furthermore, the elevated Duoxa1 level led to increased ROS levels. We also performed various in vitro studies using gain and loss of Duoxa1 function.
3. Discussion
Duoxa1 is generally known as an organizing subunit for the translocation and surface expression of the Duox enzymes which directly produce H
2O
2 [
15]. Duoxa1 is involved in the maturation and translocation of Duox1 from the cytosol to plasma membrane to produce a mature and completely functional enzyme [
16,
17]. However, in addition to activating Duox1, Duoxa1 may have other unknown functions, as confirmed by the high levels of Duoxa1 protein in several adult tissues including muscle satellite cells, the thyroid and salivary glands, and lungs [
13,
14,
15]. In the study by Sandiford et al., overexpression of Duoxa1 was detected in primary myoblasts and the high level of Duoxa1 throughout myogenic differentiation resulted in increased H
2O
2 formation and defective myoblast fusion [
13]. According to Serendenina et al., Duoxa1 is upregulated in spinal cord tissue with the disease course against Duox1 that shows expression below detection levels in tissues. High Duoxa1 expression was detected in the microglia, resident immune cells of the central nerve system, in contrast to Duox1 absence, and may have a presently unknown function in microglia [
14]. Stanislas et al. also mentioned the possibility that Duoxa1 may function independently of Duox1 in ROS-producing mechanisms [
15]. Similarly, we found that Duoxa1 was upregulated in RANKL-stimulated osteoclast differentiation in proportion to time (
Figure 1A). However, Duox1 was below the detection levels in RANKL-induced BMMs. This means that Duoxa1 may directly engage in ROS generation, which may promote osteoclast differentiation. In other words, Duoxa1 may function independently of Duox1 in osteoclast differentiation and ROS production in bone. Our study is the first to emphasize the importance of Duoxa1 in osteoclast differentiation through the control of ROS generation. These abilities were confirmed by subsequent observations that siDuoxa1 in RANKL-induced BMMs inhibited osteoclast formation and function (
Figure 1) and overexpression of Duoxa1 inhibited osteoclastogenesis (
Figure 3) by regulating ROS production (
Figure 4).
Bone homeostasis and mineral remodeling requires complex communication between bone-resorbing osteoclasts and bone-forming osteoblasts in bone [
6,
7,
8,
9]. In many pathological conditions, bone resorption of osteoclasts exceeds the formation of osteoblasts, leading to excessive bone destruction. Osteoclasts are derived from the monocyte/macrophage lineage of hematopoietic stem cells, and osteoclasts differentiate under M-CSF and RANKL treatment [
11]. The binding of the M-CSF to c-Fms provides signals required for proliferation and survival of osteoclast precursor cells, whereas binding of RANK and RANKL leads to ROS production and recruitment of TRAF6, and upon stimulation, the precursors fuse and form multinucleate osteoclasts. Progressive accumulation of ROS by RANKL stimulation modulates the expression of several ROS-related genes including TRAF6, Rac1, and Nox isoforms [
6,
7,
8,
9,
10]. The expression of Duoxa1 increases during the process of RANKL-induced osteoclastogenesis (
Figure 1A). Indeed, siDuoxa1 resulted in the inhibition of both RANKL-induced ROS production (
Figure 4) and osteoclast differentiation and bone resorbing functions (
Figure 1C–H). Further overexpression of Duoxa1 abundantly improved RANKL-induced multinuclear cells from BMMs (
Figure 3).
RANK and RANKL-mediated osteoclastogenesis and bone resorbing function lead to TRAF6 recruitment to activate MAPKs (p38, ERK, and JNK), c-Fos, activator protein-1 (AP-1) and NF-κB, all of which are required for the induction of NFATc1 [
10,
11,
22]. RANKL stimuli are also dependent on the generation of Ca
2+ signaling through the ITAM-mediated signal cascade that activates Btk-PLCγ2 calcium signaling to interact with NFATc1 [
21]. Notably, we found that siDuoxa1 transfection inhibited the activation of TRAF6 and calcium signal recruitment by RANKL through the Akt/MAPKs/NF-κB/c-Src and Btk-PLCγ2 signal pathways (
Figure 2A–D). In contrast, upregulated Duoxa1 in pMX-Duoxa1 retrovirus-infected BMMs augmented the activation of TRAF6 and calcium signal recruitment by RANKL (
Figure 3D–G). Owing to the known roles of ROS in osteoclastogenesis and signaling pathways, we identified whether Duoxa1 could alter RANKL-induced signaling by regulating ROS generation during osteoclastogenesis. We observed that siDuoxa1 markedly inhibited the RANKL-induced intracellular ROS production measured by a cell-permeant oxidation-sensitive dye, DCFH-DA (
Figure 4A,B). These results indicate that Duoxa1 regulates osteoclastogenesis by activating RANKL-induced ROS production and TRAF6/Btk-PLCγ2 signal pathways.
The adhesion molecules β
3-integrin and c-Src play important roles in regulating the bone resorption of osteoclasts by mediating their migration and adhesion activities [
23,
24]. It has also been reported that osteoclasts deficient for c-Src exhibited reduced motility and abnormal organization in the ruffle border and that they lacked the cytoskeletal elements necessary for bone resorption [
23]. Therefore, c-Src is required for osteoclastic bone resorption [
25]. CtsK and CTR degrade the organic bone matrix and contribute to bone resorptive activity [
11,
12]. RANKL-induced ROS generation and TRAF6-MAPK, NF-kB, c-Src/Btk-PLCγ2 signal leads to activation of NFATc1 and osteoclast differentiation for bone resorption [
10]. The master transcription factor NFATc1 affects the expression of osteoclast-specific genes including
OSCAR, TRAP, CTR, β3-integrin, DC-STAMP, ATP6v0d2, and
CtsK, which are related to formation of multinuclear cells by fusion of osteoclasts [
11,
12]. In this study, knockdown of Duoxa1 significantly inhibited the expression of transcription factors and marker genes (
Figure 2E,F), whereas overexpression of Duoxa1 reversed the expression of these genes (
Figure 3H,I). Moreover, RANKL exerted anti-apoptotic effects in mature osteoclasts, which apparently increased bone-degradative activity and accelerated bone resorption. In our study, siDuoxa1 suppressed actin polymerization (
Figure 1E,F) and bone resorption by matured osteoclasts (
Figure 1G,H). Thus, these results show the disruption of osteoclastic cytoskeleton by siDuoxa1, which abolishes the bone resorbing activity by matured osteoclasts in vitro.
In conclusion, these findings highlight the crucial role of ROS generation by Duoxa1 in osteoclast differentiation and reveal Duoxa1 as a potential therapeutic target in treating bone diseases associated with excess osteoclasts-induced bone loss such as osteoporosis and Paget’s disease of bone.
4. Materials and Methods
4.1. Chemicals, Reagents and Constructs
Full-length wild-type Duoxa1 was amplified using PCR from mouse cDNA and ligated into the pMX-IRES-EGFP vector as pMX-Duoxa1 using the BamHI and XhoI (Enzynomics, Daejeon, Korea) sites. The following primers were used: Duoxa1-For, 5′-GCTAGGATCCATGGCTGCTCTTGGACACAC-3′ and Duoxa1-Rev, 5′-CGACTCGAGCAGGGAACAGTCGGACTCTTTG-3′. TRIzol reagent was obtained from Life Technologies (Carlsbad, CA, USA). A monoclonal β-actin (A5441) antibody and DAPI (D9542) were obtained from Sigma (St. Louis, MO, USA). Antibodies for anti-phospho-ERK-1/2, anti-total ERK-1/2, anti-phospho-p38, anti-total p38, anti-phospho-JNK, anti-total JNK, anti-phospho-IκB, anti-phospho-Akt, anti-Akt, anti-phospho-Src, anti-Src, and anti-Btk were obtained from Cell Signaling Technology Inc. (Beverly, MA, USA). Anti-Phospho-Btk (GTX61791) antibody was obtained from GeneTex (Irvine, CA, USA). Anti-c-Fos, anti-NFATc1, anti-IκB, and anti-PLCγ2 antibodies were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA). Anti-Duoxa1 antibody was obtained from Bioss Inc (BS-11433®, Wobun, MA, USA). Donkey anti-rabbit and anti-mouse immunoglobulin secondary antibodies were purchased from Enzo Life Sciences (Farmingdale, NY, USA).
4.2. Preparation of Mouse BMMs and TRAP Assay
BMCs were isolated from 5-week-old male ICR mice by flushing the femurs and tibias with α-MEM supplemented with 10% FBS and 1% antibiotics [
26]. BMCs were cultured on culture dishes in α-MEM supplemented with 10% FBS and M-CSF (10 ng/mL) for 1 day. Then, non-adherent cells were plated to petri dishes and cultured in the presence of M-CSF (30 ng/mL) for 3 days. After the non-adherent cells were washed out, the adherent cells were used as BMMs. To the complete formation of osteoclasts from these BMMs, the cells were seeded in a 48-well plate (3.5 × 10
4 cells/well) in complete medium containing M-CSF (30 ng/mL) and RANKL (100 ng/mL) and cultured for 3–4 days. BMM-derived MNCs were fixed in 3.7% formalin for 10 min, permeabilized with 0.1% Triton X-100 for 5 min, and then stained with TRAP (Sigma, St. Louis, MO, USA). TRAP-positive MNCs with more than three nuclei were counted as osteoclasts. The size of the osteoclasts was determined by image analysis using the image J software (National Institutes of Health, Bethesda, MD, USA).
4.3. Retrovirus-Derived Duoxa1 Gene Transfer and siRNA Transfection in BMMs
The retroviral vector (pMX), pMX-Duoxa1-IRES-EGFP, and mouse negative control (siControl) and Duoxa1 (siDuoxa1) siRNAs were ordered and synthesized by Bioneer Co. (Daejeon, Korea). The transfection assay of retroviral genes and siRNA was performed as previously described [
26]. Plat-E retroviral packaging cells were seeded in culture dish before 1 day transfection. The next day, packaging of the retroviral vectors pMX-IRES-EGFP and pMX-Duoxa1-IRES-EGFP was transfected into plat-E cells using X-tremeGENE 9 (Roche, Nutley, NJ, USA) according to the manufacturer’s protocol. After 2 days culture, the culture supernatants of the retrovirus-producing cells were collected. For retroviral infection, non-adherent BMCs were cultured in M-CSF (30 ng/mL) for 2 days. The BMMs were incubated with viral supernatant pMX-IRES-EGFP and pMX-Duoxa1-IRES-EGFP virus-producing plat-E cells together with polybrene (10 µg/mL) and M-CSF (30 ng/mL) for 6 h. After infection, the BMMs were induced to differentiate in the presence of M-CSF (30 ng/mL) and RANKL (100 ng/mL) for 4 days. BMMs were also transfected with 10 nM of siRNA oligonucleotides using Lipofectamine 3000 (Invitrogen, San Diego, CA, USA) according to the manufacturer’s instructions. Briefly, after incubating BMMs in α-MEM containing 10% FBS, siRNA (10 nM)-Lipofectamine 3000 (0.5 µL/48-well or 3 µL/6-well) mixtures in Opti-MEM (Invitrogen, San Diego, CA, USA) were added to BMMs and incubated for 6 h, respectively. The medium was then replaced with fresh complete α-MEM and the cells were further cultured with osteoclastogenic medium.
4.4. Actin Polymerization
BMCs were cultured in M-CSF (30 ng/mL) for 2 days. The cells were transfected with the indicated retrovirus or siRNA as described above and further cultured in the presence of M-CSF (30 ng/mL) and RANKL (100 ng/mL) for 3 days. The cells were fixed in 3.7% formalin for 15 min, permeabilized with 0.1% Triton X-100 for 10 min, incubated with 0.25% bovine serum albumin (Sigma, St. Louis, MO, USA) for 30 min, and stained with phalloidin (Life Technologies, Grand Island, NY, USA) and a DAPI solution (Life Technologies) to visualize F-actin and nuclei, respectively. Cell fluorescence was detected by a laser scanning confocal microscope (Olympus FV1000, Olympus Corp., Center Valley, PA, USA). The images were analyzed using the Image-Pro Plus software version 4.0 (Media Cybernetics, Silver Spring, MD, USA). The change in the F-actin ring on mature osteoclasts was quantified by calculating the ratio of actin ring positive (AR+) osteoclasts versus actin ring negative (AR−) osteoclasts. The osteoclasts with normal F-actin rings were considered as AR+ osteoclasts and osteoclasts without or disrupted F-actin rings were considered as AR− osteoclasts. It was defined as disrupted actin rings if less than half of them showed typical morphology of F-actin rings
4.5. Bone Resorbing Assay
Mature OCs were prepared from the co-culture of BMCs and primary osteoblasts (OBs) as described previously [
26]. Briefly, BMCs (1 × 10
7 cells) and primary OBs (1 × 10
6 cells) were incubated in collagen gel-coated culture dishes in the presence of 10
−8 M VitD
3 and 10
−6 M PGE
2 for 10–12 days. Mature OCs were detached using 0.1% collagenase and re-seeded in dentin slices. After 1 h, the cells were transfected with the indicated retrovirus or siRNA as described above and further cultured in the presence of RANKL (100 ng/mL). The cells re-seeded in dentin slices were completely removed using 10% sodium hypochlorite after 48 h. Dentin slices were stained with hematoxylin to detect resorption pits. The total area of resorbing pits was determined under a microscope and were quantified using Image-Pro Plus version 4.0 (Media Cybernetics, Silver Spring, MD, USA). To confirm the survival of mature OC by retrovirus and siRNA transfection, mature OC replanted in 48-well plates in the same manner as in dentin slices, and after 48 h, stained with TRAP solution.
4.6. qRT-PCR
The template first-strand cDNA from 1 µg of total RNA was synthesized using SuperScript II Reverse Transcriptase purchased from Thermo scientific (Thermo Fisher Scientific, Wilmington, DE, USA). The cDNA template amplifications were detected with Accupower green star qRT-PCR master mix using an ExcyclerTM 96 Real-Time Quantitative Thermal block (Bioneer, Daejeon, Korea). The following primers were used for the qRT-PCR: GAPDH forward: 5′-TCAAGAAGGTGGTGAAGCAG-3′; reverse: 5′-AGTGGGAGTTGCTGTTGAAGT-3′; Duoxa1 forward: 5′-CCCACAGGATGCAGCCTCAC-3′; reverse: 5′-ACCGGTAGTGGGGGCTCAAG-3′; OSCAR forward: 5′-GGAATGGTCCTCATCTCCTT-3′; reverse: 5′-TCCAGGCAGTCTCTTCAGTTT-3′; c-Fos forward: 5′-AGTCCATTTGCTGACCCCAC-3′; reverse: 5′-GGATGGTCGTGTTGATGCG-3′; NFATc1 forward: 5′-GAGTACACCTTCCAGCACCTT-3′; reverse: 5′-TATGATGTCGGGGAAAGAGA-3′; CTR forward: 5′-TCCAACAAGGTGCTTGGGAA-3′; reverse: 5′-CTTGAACTGCGTCCACTGGG-3′; β3-integrin forward: 5′-GGAGTGGCTGATCCAGATGT-3′; reverse: 5′-TCTGACCATCTTCCCTGTCC-3′; DC-STAMP forward: 5′-TCCTCCATGAACAAACAGTTCCA-3′; reverse: 5′-AGACGTGGTTTAGGAATGCAGCTC-3′; Atp6v0d2 forward: 5′-GACCCTGTGGCACTTTTTGT-3′; reverse: 5′-GTGTTTGAGCTTGGGGAGAA-3′; CtsK forward: 5′-CCAGTGGGAGCTATGGAAGA-3′; reverse: 5′-CTCCAGGTTATGGGCAGAGA-3′. The detection of amplification parameters proceeded with initial denaturation at 95 °C for 5 min, and 40 cycles of 3-step PCR: denaturation at 95 °C for 1 min, annealing at 60 °C for 30 s, and the final extension at 72 °C for 1 min. The data were validated by GAPDH, and were evaluated as the mean fold change. Relative gene expression was calculated by evaluating qRT-PCR data using the 2−ΔΔCt method.
4.7. Western Blotting
After the treatments, cells were rinsed three times with cold phosphate-buffered saline, lysed with lysis buffer, and centrifuged at 10,000× g for 15 min. The protein content in the extract was determined using a Bio-Rad DC Protein Assay Kit (Bio-Rad Laboratories Inc., Hercules, CA, USA) and proteins were denatured. Equal amounts of protein (10–20 µg) were separated to sodium dodecyl sulfate-polyacrylamide gel electrophoresis (10% gels), and transferred to polyvinylidene difluoride membranes (Millipore, Bedford, MA, USA). For blocking the non-specific binding on membranes were reacted with 5% nonfat milk in Tris-buffered saline with 0.1% Tween 20 (TBST) for 1 h, and washed with TBST, and incubated with primary antibodies for overnight at 4 °C. The membranes were incubated for 2 h with appropriate secondary antibodies. After washing 3 times with TBST, the target band was detected using an Immobilon Western Chemiluminescent HRP Substrate (Millipore, Billerica, MA, USA). Actin was used for the loading control. Densitometric analysis was performed using Image J software.
4.8. ROS Assay
ROS levels were measured by the ROS assay kit, ab113851 (Abcam, Cambridge, MA, USA), following the manufacturer’s protocol. In brief, starved BMMs were incubated with α-MEM lacking phenol red medium and then stored in dark conditions for 10 min with 21, 71-dichlorofluorescein diacetate (DCFH-DA, 10 µM). DCF fluorescence (excitation, 488 nm; emission 515–540 nm) was measured. Confocal fluorescence images were obtained using an Olympus FV-1000 confocal laser scanning microscope (Olympus, Tokyo, Japan).
4.9. Statistical Analysis
All data analyses were performed at least three times, and data are indicated with the mean ± standard deviation (SD). Statistical differences were confirmed with one-way or repeated-measures ANOVAs followed by Tukey’s HSD test. A p value < 0.05 was defined to indicate a statistically significant difference.