Normal bone maintenance relies on the formation of new bone by osteoblasts (OBs) and the resorption of aged bone by osteoclasts (OCs), a process known as “bone remodeling” (1). Imbalances in this process can result in bone diseases, such as osteoporosis, characterized by increased bone resorption and decreased bone formation. A reduction in bone mineral density caused by the imbalanced bone remodeling process can eventually lead to an elevated risk of bone fractures (1). Various factors, including sex, aging, and genetic variations, contribute to the bone remodeling process as well as environmental factors such as lifestyle, diet, smoking, and alcohol consumption (2, 3).
Alcohol is metabolized by alcohol dehydrogenase into acetaldehyde, which is further broken down to acetic acid by acetaldehyde dehydrogenase 2 (ALDH2) (4). ALDH2 is a mitochondria enzyme, and is the most efficient enzyme for removing toxic acetaldehyde after alcohol consumption (5). ALDH2 deficiency leads to the accumulation of acetaldehyde, resulting in physiological responses, known as the Asian alcohol flush reaction and other uncomfortable feelings such as nausea, headache, and rapid heart rate (6). Roughly 40% of East Asians possess a single G-to-A point mutation in the
Several studies have associated
In this study, we investigated the effects of ALDH2 mutations on bone formation. We generated human induced pluripotent stem cells (hiPSCs) with and without heterozygous ALDH2 mutations and induced OB differentiation. Different tendencies during OB differentiation with or without acetaldehyde treatment were confirmed and compared between the wild type and mutation groups. These findings indicate that groups with the ALDH2 mutation show a different response to acetaldehyde treatment and may be more susceptible to impaired bone formation.
ALDH2*1/*1- and ALDH2*1/*2-hiPSCs were generated from peripheral blood mononuclear cells (PBMCs) using a previously described reprogramming method, which involved serial centrifugation and Sendai viruses (Fig. 1A) (12, 13). The cells were cultured
The
To confirm the ALDH2*1/*1- and ALDH2*1/*2-hiPSCs derived OBs cell viability against acetaldehyde, Cell Coun-ting Kit-8 assay (CCK-8; Dojindo Molecular Technologies) was performed. We added 0, 2, 4, 8, 16, or 32 mM acetaldehyde to the culture medium; then, CCK-8 solution was added a 1:10 ratio. Absorbance was measured 450 nm using a microplate reader.
To assess the extent of calcium deposition, we utilized the Alizarin Red S Staining Quantification Assay (#8678; ScienCell Research Laboratories). Staining was conducted following the manufacturer’s protocol. Briefly, differentiated cells were rinsed with 1X phosphate-buffered saline (PBS) and fixed with 4% paraformaldehyde (PFA) for 20 minutes. Subsequently, the cells were exposed to Alizarin Red S solution and stained at room temperature (RT) for 30 minutes. Stained samples were observed under an optical microscope. To quantify the level of staining, the samples were treated with a 10% acetic acid solution at RT with shaking for 30 minutes. The cells were gently scraped from the plate and transferred to a microcentrifuge tube containing 10% acetic acid. After vortexing for 30 seconds, the samples were heated at 85℃ for 10 minutes, followed by a 5-minute incubation on ice. The samples were then centrifuged at 20,000
The hydroxyapatite, a calcium phosphate mineral was identified using the OsteoImage Mineralization Assay (PA-1503; Lonza). In brief, the cells were rinsed with 1X PBS and fixed with 4% PFA at RT for 20 minutes. Following the wash with 1X wash buffer, the staining reagent was added, and the samples were incubated at RT shielded from light, for 30 minutes. Subsequently, the samples underwent three 5-minute washes with 1x wash buffer. Stained samples were observed using an inverted fluorescence microscope (Axio Observer.Z1; Carl Zeiss).
In this experiment, total RNA was isolated from all cells using TRIzol reagent (Thermo Fisher Scientific) and cDNA was synthesized using the RevertAid First Strand cDNA Synthesis Kit (Thermo Fisher Scientific). Quantitative real-time polymerase chain reaction (qRT-PCR) was performed with a SYBR Green Mix (04707516001; Roche) and Light-Cycler 480 Instrument II (Roche Diagnostics). The expression levels of genes were normalized to GAPDH and calculated using the delta delta cycle-threshold (ΔΔCt) method. Real-time polymerase chain reaction (RT-PCR) was performed using i-TaqTM DNA Polymerase (iNtRON BIOTECHNOLOGY). The primer sequences for PCR are provided in Table 1.
Table 1 . Primer sequences for RT-PCR and qRT-PCR analysis
Name | Direction | Primer sequence (5’-3’) | Target size (bp) |
---|---|---|---|
Human OCT4 | Forward | ACCCCTGGTGCCGTGAA | 190 |
Reverse | GGCTGAATACCTTCCCAAATA | ||
Human SOX2 | Forward | CAGCGCATGGACAGTTAC | 321 |
Reverse | GGAGTGGGAGGAAGAGGT | ||
Human NANOG | Forward | AAAGGCAAACAACCCACT | 270 |
Reverse | GCTATTCTTCGGCCAGTT | ||
Human LIN28 | Forward | CTTCGGCTTCCTGTCCAT | 122 |
Reverse | CTGCCTCACCCTCCTTCA | ||
Human RUNX2 | Forward | GTGCCTAGGCGCATTTCA | 78 |
Reverse | GCTCTTCTTACTGAGAGTGGAAGG | ||
Human COL1A1 | Forward | TCTGCGACAACGGCAAGGTG | 146 |
Reverse | GACGCCGGTGGTTTCTTGGT | ||
Human OCN | Forward | CGCTACCTGTATCAATGGCTGG | 123 |
Reverse | CTCCTGAAAGCCGATGTGGTCA | ||
Human ALP | Forward | GACCCTTGACCCCCACAAT | 68 |
Reverse | GCTCGTACTGCATGTCCCCT | ||
Human RANKL | Forward | ACATATCGTTGGATCACAGCACAT | 100 |
Reverse | CAAAGGCTGAGCTTCAAGCTT | ||
Human OPG | Forward | TGCTGTTCCTACAAAGTTTACG | 433 |
Reverse | CTTTGAGTGCTTTAGTGCGTG | ||
Human TNFα | Forward | GAGGCCAAGCCCTGGTATG | 91 |
Reverse | CGGGCCGATTGATCTCAGC | ||
Human GAPDH | Forward | CTGTTGCTGTAGCCAAATTCGT | 101 |
Reverse | ACCCACTCCTCCACCTTTGA |
RT-PCR: real-time polymerase chain reaction, qRT-PCR: quantitative RT-PCR.
The cells were fixed with 4% PFA for 30 minutes, after which the cells were rinsed twice with 1x PBS and incu-bated with 50 mM NH4Cl for 10 minutes. After additional washes, 0.1% Triton X-100 was added, and the cells were incubated at RT for 30 minutes. Subsequently, the cells were blocked with 2% bovine serum albumin (BSA) in PBS for 30 minutes, incubated with the primary antibody, and diluted in 2% BSA, at RT for 2 hours. Next, the cells were washed with 2% BSA and incubated with Alexa Fluor 594-conjugated goat anti-rabbit IgG (H+L) antibody (A11037; Molecular Probes) and Alexa Fluor 488-conjugated goat anti-mouse IgG (H+L) antibody (A11029; Molecular Probes) at RT for 1 hour. After washing, the cells were treated with 4,6-diamino-2-phenylindole (10236276001; Roche) for 10 minutes. Following another wash with 2% BSA and 1x PBS, the cells were mounted using an antifade antibody (H-1700; Vector Laboratories Inc.). Images were captured using an upright fluorescence microscope (Axio Imager.M2; Carl Zeiss).
ALDH2 activity was assessed using the Mitochondrial Aldehyde Dehydrogenase (ALDH2) Activity Assay Kit (ab115348; Abcam) according to the manufacturer’s instructions. Cells were scraped and incubated with 1x extra-ction buffer supplemented with a Phosphatase Inhibitor Cocktail Set IV (1:50, 524628; Merck Millipore) and PMSF protease inhibitors (100 mM). Subsequently, the samples were shaken at 4℃ for 20 minutes and centrifuged at 16,000
Cellular proteins were extracted using RIPA buffer (R0278; Sigma-Aldrich) supplemented with the PMSF protease inhibitor (100 mM). Proteins were quantified by the method described in the ALDH2 activity assay. Protein samples were separated on 8%, 10%, and 12% sodium dodecyl sulfate-polyacrylamide gels through electrophoresis, and subsequently transferred onto nitrocellulose membranes. Then 1 hour of blockade with 3% BSA diluted in 1X TBS supplemented with Tween-20, the membranes were incubated overnight at 4℃ with the following primary antibodies: anti-RUNX2 (1:1,000, ab23981; Abcam), anti-osteocalcin (anti-OCN, 1:500, sc-30044; Santa Cruz Biotechnology Dallas), anti-osteoprotegerin (anti-OPG, 1:500, sc-390518; Santa Cruz Biotechnology), anti-RANKL (1:1,000, sc-377079; Santa Cruz Biotechnology), anti-tumor necrosis factor α (anti-TNFα, 0.2 μg/mL, ab9739; Abcam), anti-4-hydroxynonenal (anti-4HNE, 1:1,000, bs-6313R; Bioss Antibodies), anti-ALDH2 (1:1,000, PA5-29717; Thermo Fisher Scientific), and anti-GAPDH (1:5,000, ab8245; Abcam). The membranes were washed with 1X TBST and then incubated for 1 hour with the secondary antibodies. Finally, the protein was visualized using the WESTSAVE Gold ECL Solution (LF-QC0103; Ab Frontier) and a bio-image analysis system (Amersham Imager 600; Fuji Photo Film Co., Ltd.). Protein levels were normalized to GAPDH. Band intensity was quantified by analyzing the pictures using Adobe Photoshop.
The recombinant human TNFα protein (210-TA; R&D Systems) and cultured medium was diluted in 5X enzyme-linked immunosorbent assay ELISPOT DILUENT (248227-000; Invitrogen) and were coated on the 96-well plate overnight at 4℃. The plate was washed three times with 1x PBS and blocked with 5% skim milk at RT for 1 hour. Then the plate was again washed three times with 1x PBS and incubated with anti-TNFα (0.5 μg/mL) diluted in 5% skim milk at RT for 2 hours. The plate was washed three times with 1x PBS and then incubated at RT for 1 hour with the secondary antibody diluted in 5% skim milk. After washing the plate three times with 1x PBS, add 1X TMB SUBSTRATE SOLUTION (249156-000; Invitrogen) and incubated at RT for 10 minutes. Finally, stop solution was added and absorbance was measured using a microplate reader.
The cytokine array was assessed using a human XL Cyto-kine Array Kit (ARY022B; R&D Systems) according to the manufacturer’s protocol. The membranes were blocked at RT for 1 hour and then incubated overnight at 4℃ with culture medium that cultured for 7 days. Then, the detection antibody cocktail was diluted in 1X array buffer and incubated at RT for 1 hour. Finally, the membrane incubated with 1X Streptavidin-HRP at RT for 30 minutes. Images were acquired using a bio-image analysis system (Amersham Imager 600) and were quantified.
All experiments were conducted a minimum of three times. Statistical analyses were performed using the Prism 9.0 software (GraphPad Inc.). The results are presented as the mean±SEM. Statistical significance between groups was determined using Student’s t-test (#p<0.05, ##p<0.01, ###p<0.001 indicate statistical significance). For nonpa-rametric quantitative datasets, a t-test was employed, and a one-tailed p-value was calculated. Two-way ANOVA was used for several analyses (*p<0.05, **p<0.01, ***p<0.001 indicate statistical significance).
We generated the ALDH2-hiPSC lines from peripheral PBMCs using Sendai virus expressing Yamanaka factors (Oct4, Sox2, Klf4, and c-Myc) (Fig. 1A). In ALDH2*1/*2-hiPSCs, we confirmed a single nucleotide alteration from guanine (G) to adenine (A) at exon 12 of the
Table 2 . ALDH2*1/*2-hiPSCs with ALDH2 mutations
Gene | Chromosome position | Nucleotide change | Protein mutation |
---|---|---|---|
chr12:111803962-111803962 | c.1510G>A | p.Glu504Lys |
Previously, we confirmed that ALDH2 mutation did not alter the general characteristic of hiPSCs. To confirm the affect of ALDH2 mutation on
As previously mentioned, several studies have reported the inhibitory effect of acetaldehyde on osteogenesis (3, 9). The range of acetaldehyde concentration was first determined based on prior research (3, 9), and we further confirmed that 4 mM acetaldehyde was the highest concentration that did not affect the viability of cells (Fig. 3B). In ALDH2*1/*1-OBs, acetaldehyde treatment significantly increased ALDH2 activity; however, no changes were observed between the ALDH2*1/*2-OB groups (Fig. 3C). Alizarin Red S staining revealed a significant reduction in calcium deposition in both groups when treated with acetaldehyde and ALDH2*1/*2-OBs showed a more significant reduction (Fig. 3D). The effect of acetaldehyde on osteogenic specific gene expression was also confirmed in cultured ALDH2*1/*1- and ALDH2*1/*2-OBs (Fig. 3E). In ALDH2*1/*1-OBs, acetaldehyde significantly reduced the expression of
In comparison with cytotoxicity, inflammation is a quicker and more sensitive toxic response to chemical exposure. Hence, our investigation aimed to determine if acetaldehyde triggers an inflammatory response in ALDH2*1/*1- and ALDH2*1/*2-OBs. The RANKL/OPG axis plays a critical role in inflammation in various tissues including bone (15) and TNFα is one of the factors that is reported to regulate this axis. These factors are also critical in bone turnover. We first confirmed the gene expression of
These findings suggest that acetaldehyde triggers an inflammatory environment, and might also induce an imbalanced bone remodeling process, as suggested by a reduced OPG/RANKL ratio.
The
In this study, we initially confirmed that there were almost no discernible differences in the characteristics of hiPSCs except for
To further compare the difference between ALDH2*1/*1- and ALDH2*1/*2-OBs, acetaldehyde was administered during the first 3 days of the differentiation process (Fig. 3). Unlike the results in the hiPSCs, ALDH2 in the differentiated OBs showed a significantly different ALDH2 activity (Fig. 3C). The activity of ALDH2 in ALDH2*1/*2-OBs showed roughly only half of the normal activity (i.e., wild type OBs). Moreover, while ALDH2 activity spiked after acetaldehyde treatment in ALDH2*1/*1-OBs, no significant changes were observed in the ALDH2*1/*2-OBs. This shows that ALDH2 enzyme activity is increased after OB differentiation in the wild type group, and that ALDH2 enzyme activity is impaired in differen-tiated ALDH2*1/*2-OBs. We expected that acetaldehyde treatment would slightly affect OB differentiation in the ALDH2*1/*1-hiPSCs; however, we also observed a steep reduction in the wild type cells (Fig. 3D).
The gene expression of
The presence of 4HNE is detected in nearly all tissues experiencing oxidative stress (16). Treatment of cultured OBs with 4HNE induces increased oxidative stress and reduced bone formation. 4HNE is a common marker for oxidative stress and its possible pathogenesis in the nervous, respiratory, cardiovascular system has been verified in various studies (24). 4HNE is also thought to be a crucial factor for liver injury and liver cirrhosis (25). Furthermore, mice with
TNFα is a cytokine that affects bone metabolism in various inflammatory diseases and pathological processes, including rheumatoid arthritis, bone fractures, and ankylosing spondylitis (27). TNFα is a type 2 transmembrane protein and exists as transmembrane TNFα (tmTNFα) and sTNFα (28). tmTNFα is a precursor of sTNFα and is cleaved by metalloproteinase, TNFα converting enzyme (TACE), and released as sTNFα. Both tmTNFα and sTNFα are biologically active, and both can bind to TNF receptor I (TNFRI, p55) and TNF receptor II (TNFRII, p75) (29). Individuals with ALDH2 mutations have a higher risk of hip fracture and osteoporosis, which holds significant immunological implications as it has been shown to correlate with TNFα (3). Alcohol and acetaldehyde have been demonstrated to decrease bone mineral density by triggering oxidative stress and elevating TNFα levels, consequently inhibiting osteogenic differentiation and bone formation (30). In accordance with these findings, as depicted in Fig. 4, we verified the gene and protein levels of TNFα in ALDH2*1/*1- and ALDH2*1/*2-OBs cultured with or without acetaldehyde treatment. In our study, TNFα was highly increased in the lysate of differentiated OBs, especially in ALDH2*1/*2-OBs (Fig. 4C). sTNFα was not detected in the cultured sup when confirmed using a cytokine array; however, increased levels of TNFα were confirmed in both groups after acetaldehyde treatment without significance (Fig. 4E). This might suggests that tmTNFα might be a crucial factor in ALDH2 mutation-related symptoms rather than sTNFα. In the case of spondyloarthritis (SpA), sTNF levels in the synovial fluid were significantly decreased compared with rheumatoid arthritis despite similar levels of joint inflammation (31). In the synovial tissue of SpA, the expression of TACE was downregulated, which is thought to be responsible for the increased levels of tmTNFα in SpA. In tmTNFα transgenic mice knocked out with either TNFRI or TNFRII, it was confirmed that TNFRI is essential for inflammation and TNFRII for pathological new bone formation. These pathways might be responsible for the maintained RUNX2 and OPG expression in ALDH2*1/*2-OBs, and the reason why ALDH2 mutation has less impact on bone compared with other tissues such as the liver. Therefore, in future studies, it might be interesting to confirm the expression of TNFRs in cells to confirm which pathway is activated and altered by the mutation.
TNFα also plays a crucial role in stimulating osteoclastogenesis along with receptor activation of RANKL. RANKL, a member of the TNF family, is expressed by OBs and binds to the receptor RANK on the surface of OCs and OC precursors, initiating various signaling pathways that ultimately lead to bone resorption (32). A previous study demonstrated that alcohol promotes bone resorption in female rats by inducing osteoclastogenesis through increased expression of RANKL in OBs (33). The interaction between RANKL and its receptor RANK, which regulates the balance between bone formation and resorption, is inhibited by OPG. OBs produce OPG, which acts as a decoy receptor, binding to RANKL and preventing its interaction with RANK, thereby inhibiting the activation of OCs and bone resorption (34). After confirming induced oxidative stress and increased TNFα levels, we evaluated the expression of OPG and RANKL in ALDH2*1/*1- and ALDH2*1/*2-OBs treated with or without acetaldehyde (Fig. 4). Treatment with acetaldehyde reduced the mRNA levels of
Other soluble cytokines were also released in the cultured sup (Supplementary Fig. S2A). Acetaldehyde treatment reduced the expression of CD30, FGF2, and FGF19 in both groups, while the expression of CD147, Cripto-1, IGFBP-2, and PDGF-AB/BB showed a different expre-ssion pattern between ALDH2*1/*1- and ALDH2*1/*2-OBs (Supplementary Fig. S2B). Interestingly, Cripto-1 was totally absent in ALDH2*1/*2-OBs compared with ALDH2*1/*1-OBs. While Cripto-1 is a fetal oncoprotein that plays critical roles in stem cell differentiation, embryogenesis, and tissue remodeling, it is also well known to contribute in cancer development and progression (35). From other perspectives, ALDH2 also represents a tumor suppressor in multiple cancer entities (36). This finding might suggest crypto-1 as a critical factor for ALDH2*2 allele carrier individuals with high risk for alcohol-related cancers. On the other hand, several studies have reported an inhibitory effect of PDGF on mesenchymal stem cell (MSC)-based osteogenesis (37). While the role of PDGF on osteogenesis is still controversial, further studies confirming the increased PDGF-AB/BB in ALDH2*1/*2-OBs might be a potential factor for better understanding the
Our study had several limitations that should be ack-nowledged. Firstly, we did not clearly demonstrate the exact mechanism through which acetaldehyde impairs osteogenic differentiation. However, recent research has indica-ted that alcohol consumption impairs the lineage differentiation of bone marrow-derived MSCs via the PI3K/AKT/mTOR/Sp7 pathway. This impairment leads to bone loss by inhibiting osteogenic differentiation and promoting fat differentiation (38). Additionally, the study highlighted that alcohol’s impact on osteogenesis is associated with increased expression of TNFα and interleukin (IL)-1β, as well as WNT signaling (28). Secondly, we did not confirm whether acetaldehyde-induced osteoclastogenesis in OCs triggers the secretion of OPG and RANKL from OBs. TNFα and IL-1β, cytokines known to influence bone loss, are involved in the bone resorption process and induce osteoclastogenesis by up-regulating NF-κB and JNK signaling pathways (39). Moreover, increased osteoclastogenesis induced by alcohol may be mediated by elevated expression of IL-6 and RANKL in mice subjected to liquid diets (40). Therefore, the impairment of bone formation and resorption caused by alcohol and acetaldehyde involves various cytokines and signaling pathways, and further studies are necessary to elucidate the role of ALDH2 in bone metabolism.
Supplementary data including two figures can be found with this article online at https://doi.org/10.15283/ijsc23151
There is no potential conflict of interest to declare.
All of the data used to support the findings of this study are included within the article.
Conceptualization: JL, JHJ. Data curation: JL, YAR, JHJ. Formal analysis: JL, HH, YAR. Funding acquisition: YAR, JHJ. Investigation: JL. Methodology: JL, SIJ, HH, YAR. Project administration: YAR, JHJ. Resources: YAR, JHJ. Software: JL, SIJ, HH, YAR. Supervision: YAR, JHJ. Validation: JL, HH, YAR, JHJ. Visualization: JL, HH, YAR. Writing – original draft: JL. Writing – review and editing: JL, HH, SIJ, YAR, JHJ.
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2020R1A2C3004123, NRF-2019R1A5A2027588, and NRF-2021R1C1C2004688). This research was also supported by the Catholic Institute of Cell Therapy in 2024 and by the Basic Medical Science Facilitation Program through the Catholic Medical Center of the Catholic University of Korea funded by the Catholic Education Foundation.
CrossRef (0) |