Literature DB >> 34821370

miR‑30a‑5p induces the adipogenic differentiation of bone marrow mesenchymal stem cells by targeting FAM13A/Wnt/β‑catenin signaling in aplastic anemia.

Enbo Wang1, Yunyan Zhang2, Rongmei Ding2, Xiaohua Wang1, Shumin Zhang1, Xinghua Li1.   

Abstract

Aplastic anemia (AA) is a bone marrow failure syndrome with high morbidity and mortality. Bone marrow (BM)‑mesenchymal stem cells (MSCs) are the main components of the BM microenvironment, and dysregulation of BM‑MSC adipogenic differentiation is a pathologic hallmark of AA. MicroRNAs (miRNAs/miRs) are crucial regulators of multiple pathological processes such as AA. However, the role of miR‑30a‑5p in the modulation of BM‑MSC adipogenic differentiation in AA remains unclear. The present study aimed to explore the effect of miR‑30a‑5p on AA BM‑MSC adipogenic differentiation and the underlying mechanism. The levels of miR‑30a‑5p expression and family with sequence similarity 13, member A (FAM13A) mRNA expression in BM‑MSCs were quantified using reverse transcription‑quantitative (RT‑q) PCR. The mRNA expression levels of adipogenesis‑associated factors [fatty acid‑binding protein 4 (FABP4), lipoprotein lipase (LPL), perilipin‑1 (PLIN1), peroxisome proliferator‑activated receptor γ (PPARγ) and CCAAT/enhancer binding protein α (C/EBPα)] were analyzed using RT‑qPCR. Lipid droplet accumulation was evaluated using Oil Red O staining in BM‑MSCs. The interaction between miR‑30a‑5p and the FAM13A 3'‑untranslated region was identified by TargetScan, and a dual‑luciferase reporter assay was used to confirm the interaction. The expression levels of FAM13A and Wnt/β‑catenin pathway‑related proteins were examined via western blotting. The results showed that miR‑30a‑5p expression levels were significantly elevated in BM‑MSCs from patients with AA compared with those in control subjects (iron deficiency anemia). miR‑30a‑5p expression levels were also significantly increased in adipose‑induced BM‑MSCs in a time‑dependent manner. miR‑30a‑5p significantly promoted AA BM‑MSC adipogenic differentiation, and significantly enhanced the mRNA expression levels of FABP4, LPL, PLIN1, PPARγ and C/EBPα as well as lipid droplet accumulation. miR‑30a‑5p was also demonstrated to target FAM13A in AA BM‑MSCs. FAM13A significantly reduced BM‑MSC adipogenic differentiation by activating the Wnt/β‑catenin signaling pathway. In conclusion, miR‑30a‑5p was demonstrated to serve a role in AA BM‑MSC adipogenic differentiation by targeting the FAM13A/Wnt/β‑catenin signaling pathway. These findings suggest that miR‑30a‑5p may be a therapeutic target for AA.

Entities:  

Keywords:  AA; BM‑MSCs; FAM13A; Wnt/β‑catenin signaling; adipogenic differentiation; miR‑30a‑5p

Mesh:

Substances:

Year:  2021        PMID: 34821370      PMCID: PMC8630822          DOI: 10.3892/mmr.2021.12543

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


Introduction

Aplastic anemia (AA) is a bone marrow failure disorder characterized by peripheral blood pancytopenia and bone marrow (BM) aplasia (1). As the disease progresses, the marrow is severely destroyed, exhibiting enhanced hematopoietic stem/progenitor cell apoptosis, decreased capillaries, excessive adipocytes and reduced BM function (2–4). BM-mesenchymal stem cells (MSCs) serve as multipotent cells with the potential to differentiate into several cells, such as osteoblasts and adipocytes, and constitute the principal cellular components of the BM microenvironment (5). BM-MSCs from patients with AA display fundamental deficiencies that lead to susceptibility to progressive BM failure (6,7). Increasing evidence has revealed that osteogenic-adipose balance dysregulation is associated with the pathophysiological processes of AA (8–10). Therefore, understanding the modulation mechanism of AA BM-MSC adipogenic differentiation is of importance. However, to the best of our knowledge, advancements in this field are still limited. MicroRNAs (miRNAs/miRs) are small non-coding RNAs with a length of 20–25 nucleotides that influence several biological processes (11). miRNAs can control gene expression at the post-transcriptional level by pairing with target mRNAs at the 3′-untranslated region (3′-UTR) (12). miRNAs also modulate numerous targets that have essential functions in a broad spectrum of biological processes, including cell proliferation, apoptosis, differentiation, invasion, metastasis and tumorigenesis (13). Previous studies have revealed that miRNAs are involved in the progression of AA (14,15). miR-1, miR-146b-5p and miR-150-5p serve as biomarkers for the diagnosis of AA (16). miR-144-3p represses BM-MSC osteogenic differentiation in patients with AA by suppressing Tet methylcytosine dioxygenase 2 (17). miR-204 controls AA BM-MSC osteogenic and adipogenic differentiation (18). Furthermore, miR-30a-5p is a well-studied miRNA, and has been shown to serve a role in the development of cancer (19–21). A previous study demonstrated that miR-30a-5p promotes adipocyte differentiation and adipogenesis (22). However, the effect of miR-30a-5p on the adipogenic differentiation of AA BM-MSCs remains unclear. Family with sequence similarity 13, member A (FAM13A) is highly expressed in thyroid, placenta, duodenum and adipose tissue, and serves as a crucial factor in multiple cellular processes, such as cell proliferation, invasion and differentiation (23–25). Two splicing variants of FAM13A have been identified in humans, namely isoform 1 (v1) and isoform 2 (v2) (26). FAM13A v1 includes a Ras homologous GTPase-activating protein (RhoGAP) domain that is essential for the control of cell survival and proliferation, whereas FAM13A v2 does not carry the RhoGAP domain, suggesting a different function in the control of cellular signaling (27,28). It has been reported that miR-328 in exosomes of M2 macrophages stimulates the development of pulmonary fibrosis by FAM13A (29). FAM13A influences the distribution of body fat and the function of adipocytes, and FAM13A depletion promotes adipocyte differentiation (30). However, the role of FAM13A in the adipogenic differentiation of AA BM-MSCs, and the association between FAM13A and miR-30a-5p remains elusive. It is well recognized that the Wnt/β-catenin signaling pathway is a crucial regulator of MSC osteogenesis and adipogenesis (31). miR-210-3p increases adipogenic differentiation by modulating Wnt signaling in estrogen receptor α-deficient MSCs (32). Histone demethylase 7A mediates osteogenic and adipogenic differentiation by regulating Wnt signaling (33). Cysteine-rich protein 61 modulates the adipogenic differentiation of MSCs by mediating canonical Wnt signaling and rapamycin complex 1 (34). Furthermore, it has been determined that FAM13A can activate the Wnt/β-catenin signaling pathway (35). miR-30a-5p-targeted PR domain zinc finger protein 1 (PRDM1) regulates Wnt/β-catenin signaling in a Dickkopf-1 (DKK1)-dependent manner in glioma development (36). However, the association between Wnt/β-catenin signaling, FAM13A and miR-30a-5p in the regulation of BM-MSC adipogenic differentiation remains unclear. The present study aimed to explore the role and underlying mechanism of miR-30a-5p in the modulation of AA BM-MSC adipogenic differentiation. The present results revealed a novel function of miR-30a-5p in promoting adipogenic differentiation of AA BM-MSCs by targeting the FAM13A/Wnt/β-catenin signaling pathway.

Materials and methods

AA clinical samples and AA BM-MSC culture

Human clinical samples of BM, including 11 patients with AA (7 men and 4 women; age, 22–48 years) and 14 patients with iron deficiency anemia (7 men and 7 women; age, 20–42 years), were obtained from The First People's Hospital of Lianyungang (Lianyungang, China) between January and December 2020 (37). There are several ethical concerns with BM aspiration from healthy donors for MSCs isolation and expansion. Thus, the patients with iron deficiency anemia served as control subjects. All patients provided informed consent for the use of these samples in the present study. The present study conformed to the experimental guidelines of the World Medical Association, and was approved by the Ethics Committee of The First People's Hospital of Lianyungang (approval no. LYGDYYY-2020-017). BM-MSCs were obtained from the BM of patients with AA and control subjects as previously described (38,39). Briefly, BM samples were mixed with DMEM (MilliporeSigma) supplemented with 10% fetal bovine serum (FBS; MilliporeSigma) at 20°C for 30 min. Following centrifugation at 110 × g at 20°C for 5 min, the cells were resuspended and maintained in DMEM supplemented with 10% FBS, 0.1 mg/ml streptomycin (MilliporeSigma) and 100 U/ml penicillin (MilliporeSigma) at 37°C with 5% CO2. The medium was refreshed every 2–3 days until the cells reached 80% confluence. BM-MSCs of passage 3 were used in subsequent experiments.

Cell transfection and treatment

Mimic control, miR-30a-5p mimic, inhibitor control, miR-30a-5p inhibitor, lentiviral plasmids containing short hairpin RNA (shRNA/sh) FAM13A or the corresponding scrambled shRNA [sh negative control (NC)] and the vector overexpressing (OE) the FAM13A coding sequence (OE-FAM13A) or the corresponding NC (OENC) were all synthesized by GenScript. The following sequences were used: mimic control, 5′-UUCUCCGAACGUGUCACGUTT −3′; inhibitor control, 5′-CAGUACUUUUGUGUAGUACAA −3′; miR-30a-5p mimic, 5′-UGUAAACAUCCUCGACUGGAAG-3′; miR-30a-5p inhibitor, 5′-CUUCCAGUCGAGGAUGUUUACA-3′; shNC, 5′-TGAAGCCCTGTCTCATCTTCAATAT-3′; shFAM13A, 5′-GGAGAACTCTTAGAAAGAA-3′. In brief, BM-MSCs (2×106 cells/ml) were seeded into 6-well plates and maintained in DMEM at 37°C for 24 h. Mimic control (50 pmol), miR-30a-5p mimic (50 pmol), inhibitor control (50 pmol), miR-30a-5p inhibitor (50 pmol), shFAM13A (5 nM), shNC (5 nM), OENC (5 nM) and OE-FAM13A (5 nM) were transfected into BM-MSCs at 37°C for 6 h using Lipofectamine® 3000 (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Following transfection for 48 h, reverse transcription-quantitative PCR (RT-qPCR) was used to determine the transfection efficiency. The Wnt/β-catenin signaling inhibitor, DKK1 (200 ng/ml; PeproTech, Inc.) was added to the medium at 37°C for 24 h when required (40).

Adipogenic differentiation assays

The induction of adipogenic differentiation was initiated as previously described (41–43). Briefly, BM-MSCs (3×105 cells) were plated in 6-well plates and cultured in an adipogenic medium comprising DMEM supplemented with 0.5 mM 3-isobutyl-1-methyl-xanthine (Sigma-Aldrich; Merck KGaA), 10% FBS, 100 mg/ml indomethacin (MilliporeSigma), 0.01 mg/ml insulin (MilliporeSigma) and 1 mM dexamethasone (MilliporeSigma) at 37°C for 12 days. Adipogenic differentiation was analyzed via the detection of fatty acid-binding protein 4 (FABP4), lipoprotein lipase (LPL), perilipin-1 (PLIN1), peroxisome proliferator-activated receptor γ (PPARγ) and CCAAT/enhancer binding protein α (C/EBPα) mRNA expression levels using RT-qPCR. The accumulation of lipid droplets was measured using Oil Red O staining. Briefly, BM-MSCs were washed twice with PBS at the end of the adipogenic differentiation. Subsequently, cells were fixed with 4% paraformaldehyde for 30 min at room temperature and stained with Oil Red O staining solution (Beijing Solarbio Science & Technology Co., Ltd.) for 15 min at room temperature. Images were captured using a light microscope.

RT-qPCR

Total RNA was extracted from BM-MSCs cells using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Total RNA was reverse transcribed into cDNA using Maxima First Strand cDNA Synthesis kit (Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. qPCR was subsequently performed using the SYBR Real-Time PCR I Kit (Takara Bio, Inc.) according to the manufacturer's protocol. The reaction conditions were as follows: Initial denaturation at 95°C for 10 min, followed by 35 cycles of 94°C for 30 sec, 60°C for 50 sec and 72°C for 30 sec, and final extension at 72°C for 10 min. The primer sequences used were as follows: miR-30a-5p forward (F), 5′-ACACTCCAGCTGGGTGTAAACATCCTCGAC −3′ and miR-30a-5p reverse (R), 5′-CAGTGCGTGTCGTGGAGT-3′; FAM13A F, 5′-ACCCTGTTTGAAGTAGAGTATACAG-3′ and FAM13A R, 5′-AGACCTCTTTTACTATGATAAGCCT-3′; C/EBPα F, 5′-TAGGATAACCTTGTGCCTTGGAAAT-3′ and C/EBPα R, 5′-GTCTGCTGTAGCCTCGGGAA-3′; PPARγ F, 5′-GCTGACCAAAGCAAAGGCG-3′ and PPARγ R, 5′-GCCCTGAAAGATGCGGATG-3′; LPL F, 5′-TCATTCCCGGAGTAGCAGAGT-3′ and LPL R, 5′-GGCCACAAGTTTTGGCACC-3′; PLIN1 F, 5′-GCGAGGATGGCAGTCAACAAA −3′ and PLIN1 R, 5′-GCACGCCCTTCTCATAGGCAT −3′; FABP4 F, 5′-ACTGGGCCAGGAATTTGACG-3′ and FABP4 R, 5′-CTCGTGGAAGTGACGCCTT-3′; GAPDH F, 5′-AAGAAGGTGGTGAAGCAGGC-3′ and GAPDH R, 5′-TCCACCACCCAGTTGCTGTA-3′; and U6 F, 5′-GCTTCGGCAGCACATATACTAA-3′ and U6 R, 5′-AACGCTTCACGAATTTGCGT-3′. The expression levels were normalized to the internal reference genes for miRNA and mRNA, namely U6 and GAPDH, respectively. The 2−ΔΔCq method was used to quantify the relative expression levels (44).

Dual-luciferase reporter assay

A dual-luciferase reporter assay was used to determine the relationship between miR-30a-5p and FAM13A. The miR-30a-5p-targeted site in the FAM13A 3′-UTR was identified using TargetScan (http://www.targetscan.org/vert_72/). The pmirGLO vectors carrying the wild-type (WT) 3′-UTR of FAM13A and the FAM13A 3′-UTR with the mutant (MUT) miR-30a-5p-binding site were synthesized by Guangzhou RiboBio Co., Ltd. Briefly, the 293T cells were co-transfected with either miR-30a-5p mimic or mimic control, and vectors containing FAM13A-WT or FAM13A-MUT fragments at 37°C for 6 h using Lipofectamine® 3000. After co-transfection, the cells were maintained at 37°C for 48 h. Luciferase activity was detected using Dual-Luciferase Assay Kit System (Promega Corporation) and normalized to Renilla luciferase activity.

Western blotting

Total protein was extracted from BM-MSCs using RIPA buffer (Cell Signaling Technology, Inc.). Nuclear and cytoplastic proteins were extracted using the Nuclear and Cytoplastic Protein Extraction Kit (Abbkine Scientific Co., Ltd.). Protein concentrations were measured using a BCA Protein Quantification Kit (Abbkine Scientific Co. Ltd.). Proteins (30 µg) were separated by 12% SDS-PAGE and subsequently transferred onto polyvinylidene difluoride membranes (MilliporeSigma). Membranes were blocked with 5% skimmed milk for 1 h at room temperature and incubated overnight at 4°C with primary antibodies against FAM13A (1:1,000, cat. no. 55401-1-AP; Wuhan Sanying Biotechnology), total β-catenin (1:1,000, cat. no. 37447; Cell Signaling Technology, Inc.), non-phospho (active) β-catenin (1:1,000, cat. no. 19807; Cell Signaling Technology, Inc.), low density lipoprotein receptor-related protein 6 (LRP6; 1:1,000, cat. no. 3395; Cell Signaling technology, Inc.), disheveled segment polarity protein 3 (DVL3; 1:1,000, cat. no. 3218; Cell Signaling Technology, Inc.), histone H3 (1:1,000, cat. no. 17168-1-AP; Wuhan Sanying Biotechnology) and GAPDH (1:5,000, cat. no. 10494-1-AP; Wuhan Sanying Biotechnology), wherein GAPDH and histone H3 served as loading controls. Following the primary incubation, membranes were washed with 0.1% TBS-Tween-20 (Sigma-Aldrich; Merck KGaA), and then incubated with the corresponding HRP-conjugated goat anti-rabbit IgG (1:2,000, cat. no. SA00001-2; Wuhan Sanying Biotechnology) and HRP-conjugated goat anti-mouse IgG (1:2,000, cat. no. SA00001-1, Wuhan Sanying Biotechnology) secondary antibodies for 1 h at room temperature. Protein bands were visualized using an Odyssey CLx Infrared Imaging System (LI-COR Biosciences), and protein expression was semi-quantified using ImageJ software (V1.52; National Institutes of Health).

Statistical analysis

Data are presented as the mean ± SD, and statistical analysis was conducted using GraphPad Prism 7 (GraphPad Software, Inc.). In total, three independent experimental repeats were performed for all experiments. Unpaired Student's t-tests were performed for statistical comparisons between two groups. One-way analysis of variance followed by Tukey's post hoc test was employed for statistical comparisons between more than two groups. The correlation between miR-30a-5p and FAM13A expression levels in AA was analyzed using Pearson's correlation coefficient analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

miR-30a-5p is upregulated during the adipogenic differentiation of AA BM-MSCs

To assess the potential association of miR-30a-5p with BM-MSC adipose differentiation, the miR-30a-5p expression levels in patients with AA were analyzed. miR-30a-5p expression levels were significantly elevated in BM-MSCs from patients with AA (n=11) compared with those of control subjects with iron deficiency anemia (n=14; P<0.01; Fig. 1A). These results implied a possible association between miR-30a-5p and AA BM-MSC adipose differentiation. Furthermore, miR-30a-5p expression levels in day 4 were higher than day 0 (P<0.01; Fig. 1B); miR-30a-5p expression levels in day 8 were higher than day 4 (P<0.05; Fig. 1B); miR-30a-5p expression levels in day 12 were higher than day 8 (P<0.01; Fig. 1B). These data showed that miR-30a-5p expression levels significantly increased in a time-dependent manner in adipose-induced BM-MSCs. Taken together, these findings indicated that miR-30a-5p may serve as a potential modulator in AA BM-MSCs.
Figure 1.

miR-30a-5p is upregulated during the adipogenic differentiation of AA BM-MSCs. (A) miR-30a-5p expression levels were quantified using RT-qPCR in BM-MSCs from patients with AA (n=11) and patients with iron deficiency anemia (n=14). (B) miR-30a-5p expression levels were analyzed using RT-qPCR during the adipogenic differentiation of BM-MSCs. Data are presented as the mean ± SD. **P<0.01 vs. iron deficiency anemia or day 0; #P<0.05 vs. day 4; &&P<0.01 vs. day 8. miR, microRNA; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; RT-qPCR, reverse transcription-quantitative PCR.

miR-30a-5p contributes to the adipogenic differentiation of AA BM-MSCs

To further evaluate the effect of miR-30a-5p on the adipogenic differentiation of AA BM-MSCs, AA BM-MSCs were transfected with mimic control or miR-30a-5p mimic, followed by adipose induction for 12 days. As shown in Fig. 2A, the miR-30a-5p mimic increased miR-30a-5p expression compared with mimic control group (P<0.01), which validated the transfection was successful. The adipogenesis-associated factors FABP4, LPL, PLIN1, PPARγ and C/EBPα are known markers of adipogenic differentiation (31). The mRNA expression levels of these proteins were significantly enhanced by miR-30a-5p mimic transfection in BM-MSCs compared with those in the mimic control group (P<0.01; Fig. 2B). Furthermore, Oil Red O staining demonstrated that the miR-30a-5p mimic markedly increased the accumulation of lipid droplets in BM-MSCs (P<0.01; Fig. 2C). Together, these findings suggested that miR-30a-5p promoted BM-MSC adipose differentiation.
Figure 2.

miR-30a-5p contributes to the adipogenic differentiation of AA BM-MSCs. AA BM-MSCs were treated with mimic control or miR-30a-5p mimic. (A) BM-MSC miR-30a-5p expression levels were analyzed using RT-qPCR. (B) BM-MSC FABP4, LPL, PLIN1, PPARγ and C/EBPα mRNA expression levels were analyzed using RT-qPCR. (C) Lipid droplet accumulation was evaluated using Oil Red O staining in BM-MSCs. Data are presented as the mean ± SD. **P<0.01 vs. mimic control. miR, microRNA; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; RT-qPCR, reverse transcription-quantitative PCR; FABP4, fatty acid-binding protein 4; LPL, lipoprotein lipase; PLIN1, perilipin-1; PPARγ, peroxisome proliferator-activated receptor γ; C/EBPα, CCAAT/enhancer binding protein α.

miR-30a-5p targets FAM13A in AA BM-MSCs

The underlying mechanism of miR-30a-5p-regulated adipogenic differentiation of AA BM-MSCs was further investigated. The miR-30a-5p-targeted site in the FAM13A 3′-UTR was identified using TargetScan (Fig. 3A). miR-30a-5p expression levels were significantly negatively correlated with those of FAM13A in AA BM-MSC samples (P=0.0472; Fig. 3B). These results indicated a potential interaction between miR-30a-5p and FAM13A in the regulation of AA BM-MSCs. Furthermore, miR-30a-5p mimic inhibited the luciferase activity of FAM13A-WT compared with that of the mimic control, whereas no change in luciferase activity was observed upon transfection with FAM13A-MUT (P<0.01; Fig. 3C). In addition, the FAM13A mRNA and protein expression levels were significantly reduced by miR-30a-5p mimic transfection in BM-MSCs (P<0.01; Fig. 3D and E). These results therefore suggested that miR-30a-5p may target FAM13A in AA BM-MSCs.
Figure 3.

miR-30a-5p targets FAM13A in AA BM-MSCs. (A) The interaction between miR-30a-5p and the FAM13A 3′-UTR was identified by bioinformatic analysis using TargetScan. (B) miR-30a-5p expression was significantly negatively correlated with FAM13A expression in AA BM-MSC samples (n=11). (C) The luciferase activities of FAM13A-WT and FAM13A-MUT were determined using dual-luciferase reporter assays. (D) FAM13A mRNA expression levels were assessed using reverse transcription-quantitative PCR. (E) FAM13A protein expression levels were analyzed via western blotting. Data are presented as the mean ± SD. **P<0.01 vs. mimic control. miR, microRNA; FAM13A, family with sequence similarity 13, member A; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; UTR, untranslated region; WT, wild-type; MUT, mutant.

FAM13A inhibits the adipose differentiation of AA BM-MSCs

To analyze the association of FAM13A with AA BM-MSC adipose differentiation, the FAM13A expression levels in patients with AA were determined. The results demonstrated that FAM13A mRNA expression levels were significantly reduced in BM-MSCs from patients with AA (n=11) compared with those of control subjects with iron deficiency anemia (n=14; P<0.05; Fig. 4A). This implied an inverse association between FAM13A and AA BM-MSC adipogenic differentiation. AA BM-MSCs were then transfected with lentiviral plasmids carrying shFAM13A or shNC to investigate the function of FAM13A in the adipogenic differentiation of AA BM-MSCs. As shown in Fig. 4B, shFAM13A transfection reduced FAM13A protein expression compared with shNC group (P<0.01), which verified the transfection was successful. The depletion of FAM13A significantly upregulated the mRNA expression levels of FABP4, LPL, PLIN1, PPARγ and C/EBPα (P<0.01; Fig. 4C) compared with those of the shNC group. Furthermore, Oil Red O staining revealed that the accumulation of lipid droplets was markedly enhanced by FAM13A knockdown in BM-MSCs compared with that of the shNC group (Fig. 4D). These results therefore indicated that FAM13A may attenuate AA BM-MSC adipose differentiation.
Figure 4.

FAM13A inhibits the adipogenic differentiation of AA BM-MSCs. (A) FAM13A mRNA expression levels were analyzed using RT-qPCR in BM-MSCs from patients with AA (n=11) and patients with iron deficiency anemia (n=14). (B-D) BM-MSCs were treated with lentiviral plasmids carrying shFAM13A or shNC. (B) The protein expression levels of FAM13A were examined by western blotting. (C) FABP4, LPL, PLIN1, PPARγ and C/EBPα mRNA expression levels were analyzed using RT-qPCR. (D) Lipid droplet accumulation was evaluated by Oil Red O staining. Data are presented as the mean ± SD. *P<0.05 vs. iron deficiency anemia; **P<0.01 vs. shNC. FAM13A, family with sequence similarity 13, member A; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; RT-qPCR, reverse transcription-quantitative PCR; sh, short hairpin; NC, negative control; FABP4, fatty acid-binding protein 4; LPL, lipoprotein lipase; PLIN1, perilipin-1; PPARγ, peroxisome proliferator-activated receptor γ; C/EBPα, CCAAT/enhancer binding protein α.

FAM13A reduces the adipogenic differentiation of BM-MSCs by activating the Wnt/β-catenin signaling pathway

The mechanism of FAM13A-mediated AA BM-MSC adipose differentiation was further investigated. It was hypothesized that FAM13A modulated the adipogenic differentiation of AA BM-MSCs via the Wnt/β-catenin signaling pathway. FAM13A was overexpressed in AA BM-MSCs. As shown in Fig. 5A, FAM13A protein expression in the OE-FAM13A group was higher than that in the OENC group (P<0.01), which validated the transfection was successful. The protein expression levels of non-phospho β-catenin, which is the active state of β-catenin (45), were significantly enhanced by OE-FAM13A compared with those in the OENC group (P<0.01; Fig. 5B). However, they were significantly reduced by FAM13A knockdown in AA BM-MSCs compared with those in the shNC group (P<0.05), while total β-catenin was unchanged (Fig. 5B). Moreover, FAM13A overexpression significantly promoted the nuclear localization of non-phospho β-catenin and inhibited the cytoplasmic localization of non-phospho β-catenin in the cells compared with the findings in the OENC group (P<0.01; GAPDH served as loading controls for the cytoplasmic protein and histone H3 served as loading controls for the nuclear protein; Fig. 5C). Downstream proteins, including LRP6 and DVL3, were also significantly upregulated by FAM13A overexpression compared with the effects of OENC, and were significantly downregulated by FAM13A knockdown (P<0.01; Fig. 5D). These results indicated that FAM13A activated the Wnt/β-catenin signaling pathway in AA BM-MSCs.
Figure 5.

FAM13A reduces the adipogenic differentiation of BM-MSCs by activating the Wnt/β-catenin signaling pathway. (A) AA BM-MSCs were transfected with OENC or OE-FAM13A. FAM13A protein expression levels were analyzed via western blotting. (B) Total β-catenin and non-phospho β-catenin protein expression levels were analyzed via western blotting. (C) The nuclear and cytoplasmic protein expression levels of non-phospho β-catenin were analyzed via western blotting. (D) The protein expression levels of LRP6 and DVL3 were analyzed via western blotting analysis. (E and F) AA BM-MSCs were transfected with OENC or OE-FAM13A with or without DKK1 treatment. (E) Non-phospho β-catenin protein expression levels were determined via western blotting. (F) Lipid droplet accumulation was analyzed by Oil Red O staining. Data are presented as mean ± SD. **P<0.01 vs. OENC; ##P<0.01 vs. shNC or OE-FAM13A. FAM13A, family with sequence similarity 13, member A; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; sh, short hairpin; LRP6, low density lipoprotein receptor-related protein 6; DVL3, disheveled segment polarity protein 3; OE, overexpression; NC, negative control; DKK1, Dickkopf-related protein 1.

DKK1 is an inhibitor of the Wnt/β-catenin signaling pathway (46,47). Treatment with DKK1 significantly inhibited the expression of non-phospho β-catenin enhanced by FAM13A overexpression in AA BM-MSCs compared with OE-FAM13A group (P<0.01; Fig. 5E). Furthermore, Oil Red O staining demonstrated that DKK1 markedly increased the levels of lipid droplets and attenuated FAM13A overexpression-reduced accumulation of lipid droplets in the cells (Fig. 5F). These results therefore suggested that FAM13A reduces the adipose differentiation of BM-MSCs by activating Wnt/β-catenin signaling.

miR-30a-5p promotes the adipose differentiation of AA BM-MSCs via FAM13A/Wnt/β-catenin signaling

The role of the FAM13A/Wnt/β-catenin axis in miR-30a-5p-mediated AA BM-MSC adipose differentiation was determined. For this purpose, BM-MSCs were transfected with miR-30a-5p mimic, OE-FAM13A or miR-30a-5p mimic + OE-FAM13A. ‘Control’ refers to untreated BM-MSCs. The RT-qPCR results demonstrated that miR-30a-5p mimic significantly reduced FAM13A mRNA expression levels compared with those of the control group, while the FAM13A mRNA expression levels were significantly enhanced by the overexpression of FAM13A in the cells compared with the findings in the miR-30a-5p mimic group (P<0.01; Fig. 6A). miR-30a-5p mimic also significantly enhanced the mRNA expression levels of FABP4, LPL, PLIN1, PPARγ and C/EBPα compared with those of the control (P<0.01), and the mRNA expression levels of FABP4, LPL, PLIN1, PPARγ and C/EBPα were significantly attenuated by FAM13A overexpression in the cells compared with those of the miR-30a-5p mimic group (P<0.01; Fig. 6B).
Figure 6.

miR-30a-5p promotes the adipogenic differentiation of AA BM-MSCs via the FAM13A/Wnt/β-catenin signaling pathway. (A-C) AA BM-MSCs were treated with OE-FAM13A, miR-30a-5p mimic or miR-30a-5p mimic + OE-FAM13A; in the control group, AA BM-MSCs were not treated. (A) FAM13A mRNA expression levels were analyzed using RT-qPCR. (B) mRNA expression levels of C/EBPα, PPARγ, PLIN1, LPL and FABP4 were analyzed using RT-qPCR. (C) Lipid droplet accumulation was determined using Oil Red O staining. (D) miR-30a-5p expression levels were analyzed using RT-qPCR in BM-MSCs transfected with control inhibitor or miR-30a-5p inhibitor. (E) Lipid droplet accumulation was determined using Oil Red O staining in AA BM-MSCs treated with inhibitor control, miR-30a-5p inhibitor, or co-treated with miR-30a-5p inhibitor and DKK1. Data are presented as the mean ± SD. **P<0.01 vs. control or inhibitor control; ##P<0.01 vs. miR-30a-5p mimic or miR-30a-5p inhibitor. miR, microRNA; AA, aplastic anemia; BM-MSCs, bone marrow-mesenchymal stem cells; FAM13A, family with sequence similarity 13, member A; OE, overexpression; RT-qPCR, reverse transcription-quantitative PCR; FABP4, fatty acid-binding protein 4; LPL, lipoprotein lipase; PLIN1, perilipin-1; PPARγ, peroxisome proliferator-activated receptor γ; C/EBPα, CCAAT/enhancer binding protein α.

Furthermore, the miR-30a-5p mimic markedly increased the accumulation of lipid droplets, and this effect could be blocked by FAM13A overexpression compared with that of the miR-30a-5p mimic group (Fig. 6C). AA BM-MSCs were also transfected with inhibitor control or miR-30a-5p inhibitor. As shown in Fig. 6D, the miR-30a-5p inhibitor reduced miR-30a-5p expression compared with inhibitor control group, which validated the successful transfection (P<0.01). In addition, miR-30a-5p inhibitor markedly reduced the levels of lipid droplets in AA BM-MSCs, while DKK1 treatment rescued this phenotype (Fig. 6E). Together, these results suggested that miR-30a-5p contributes to the adipose differentiation of AA BM-MSCs by regulating the FAM13A/Wnt/β-catenin axis.

Discussion

AA is a severe hypocellularity of the BM characterized by pancytopenia of the peripheral blood (48). MSCs serve as essential precursor cells of the BM microenvironment, and differentiate into numerous types of stromal cells, including osteoclasts, fibroblasts, endothelial cells and adipocytes, thus providing a suitable framework and a complex system of extracellular matrix proteins, adhesion molecules and cytokines (49–51). Fatty BM and aberrant hematopoiesis are the pathological hallmarks of AA, and the mechanisms of AA adipose-osteogenic modulation are complex (52,53). As main members of the family of non-coding RNAs and a important regulators of physiological and pathological processes, miRNAs are involved in the modulation of AA progression. For example, PPARγ-regulated miR-199a-5p contributes to the adiposity of BM in AA (38). Maternally expressed 3 regulates the expression of T cell immunoreceptor with Ig and ITIM domains and the activation of CD4+ T cells by sponging miR-23a (54). miR-126-5p may serve as a diagnostic biomarker for AA (55), while miR-1202 is significantly upregulated in patients with AA, and can potentially target endo-α-1,2-mannosidase and Rap guanine nucleotide exchange factor 5 (15). IL-11 increases the efficacy of hematopoietic stem cell transplant treatment in an AA mouse model by modulating the NF-κB/miR-204/thrombopoietin signaling pathway (56). miR-204 is involved in modulating the adipogenic differentiation of AA MSCs (18). Moreover, it has been reported that miR-30a-5p enhances adipocyte differentiation and adipogenesis (22). The present results demonstrated that miR-30a-5p was significantly elevated in the BM-MSCs of patients with AA and in adipose-induced BM-MSCs. Moreover, overexpression of miR-30a-5p promoted the expression of adipogenesis-associated factors (FABP4, LPL, PLIN1, PPARγ and C/EBPα) and increased the number of lipid droplets in BM-MSCs. These data presented a novel function of miR-30a-5p in the adipogenic differentiation of BM-MSCs, providing valuable evidence for the fundamental role of miRNAs in the progression of AA. FAM13A, an important factor in the modulation of metabolic homeostasis, modulates insulin sensitivity and maintains metabolism homeostasis in adipocytes (57,58). FAM13A also regulates lipid metabolism and hepatic glucose by suppressing AMP-activated protein kinase activity (59). Obesity-related FAM13A is essential for insulin sensitivity and adipose development (60). FAM13A influences fat administration and adipocyte capacity, while FAM13A knockdown stimulates adipogenic differentiation (30). The present study demonstrated that FAM13A was downregulated in the BM-MSCs of patients with AA, and FAM13A was targeted by miR-30a-5p in AA BM-MSCs. In addition, knockdown of FAM13A promoted the expression of adipogenesis-associated factors (FABP4, LPL, PLIN1, PPARγ and C/EBPα) and increased the number of lipid droplets in BM-MSCs, and overexpression of FAM13A reversed the promotive effects of miR-30a-5p mimic on the expression of adipogenesis-associated factors and the number of lipid droplets. These data suggested a novel role of FAM13A in the modulation of AA BM-MSCs. As a fundamental cellular pathway, the role of Wnt/β-catenin signaling in adipogenic differentiation has been well characterized (61). It has been previously reported that the activation of Wnt/β-catenin signaling inhibits the adipogenic differentiation of AA BM-MSCs (62). Taurine transporters control the adipogenic differentiation of adipose stem cells by modifying Wnt/β-catenin signaling (63). Lysine demethylase 4A modulates osteogenic and adipogenic differentiation via epigenetic modification of Wnt signaling (64). miR-196a represses the adipogenic differentiation of adipose stem cells by controlling Wnt/β-catenin signaling (65). Furthermore, polydatin increases MSC osteogenic differentiation by stimulating the bone morphogenetic protein 2-Wnt/β-catenin pathway (66). miR-199a-3p controls BM-MSC adipose differentiation by regulating the Wnt/β-catenin signaling pathway (67). The present study demonstrated that FAM13A activated the Wnt/β-catenin signaling pathway in AA BM-MSCs. Moreover, DKK1 (an inhibitor of the Wnt/β-catenin signaling pathway) reversed the inhibitive role of FAM13A overexpression or miR-30a-5p knockdown on the number of lipid droplets. Taken together, miR-30a-5p contributed to AA BM-MSC adipose differentiation by modulating the FAM13A/Wnt/β-catenin signaling pathway. The current findings provided novel evidence that Wnt/β-catenin signaling serves an important role in the regulation of adipogenic differentiation in AA BM-MSCs. However, there were some shortcomings in the present study. Firstly, the size of BM samples was small, and future studies should expand the sample size and include samples of healthy donors. Secondly, the effects of DKK1 alone on BM-MSCs have not been clearly investigated, which therefore warrants intensive study in the future. In conclusion, miR-30a-5p was upregulated in the BM-MSCs of patients with AA and adipose-induced BM-MSCs. Moreover, miR-30a-5p promoted the adipogenic differentiation of AA BM-MSCs, which may be involved in the FAM13A/Wnt/β-catenin signaling. These results provide a theoretical basis for the mechanism by which miR-30a-5p and FAM13A modulate AA BM-MSC adipose differentiation and provide promising therapeutic targets for AA treatment.
  66 in total

1.  Cysteine-rich protein 61 regulates adipocyte differentiation from mesenchymal stem cells through mammalian target of rapamycin complex 1 and canonical Wnt signaling.

Authors:  Yongxu Yang; Qi Qi; Yi Wang; Yaru Shi; Weili Yang; Yunzhu Cen; Endong Zhu; Xiaoxia Li; Di Chen; Baoli Wang
Journal:  FASEB J       Date:  2018-01-18       Impact factor: 5.191

2.  The regulatory roles of VEGF-Notch signaling pathway on aplastic anemia with kidney deficiency and blood stasis.

Authors:  Shu Deng; Yuqing Zeng; Liqiang Wu; Zhiping Hu; Jianping Shen; Yiping Shen; Yingying Shen; Yuhong Zhou; Jian Chen; Shengyun Lin
Journal:  J Cell Biochem       Date:  2018-09-19       Impact factor: 4.429

Review 3.  How I treat acquired aplastic anemia.

Authors:  Andrea Bacigalupo
Journal:  Blood       Date:  2017-01-17       Impact factor: 22.113

4.  Histone demethylase KDM4A regulates adipogenic and osteogenic differentiation via epigenetic regulation of C/EBPα and canonical Wnt signaling.

Authors:  Qi Qi; Yi Wang; Xiaochen Wang; Junying Yang; Yan Xie; Jie Zhou; Xiaoxia Li; Baoli Wang
Journal:  Cell Mol Life Sci       Date:  2019-09-12       Impact factor: 9.261

5.  Arsenic trioxide regulates adipogenic and osteogenic differentiation in bone marrow MSCs of aplastic anemia patients through BMP4 gene.

Authors:  Huan Chen Cheng; Sheng Wei Liu; Wei Li; Xue Fei Zhao; Xu Zhao; Mei Cheng; Lin Qiu; Jun Ma
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2015-07-26       Impact factor: 3.848

Review 6.  MicroRNA.

Authors:  Thomas X Lu; Marc E Rothenberg
Journal:  J Allergy Clin Immunol       Date:  2017-10-23       Impact factor: 10.793

7.  MEG3 modulates TIGIT expression and CD4 + T cell activation through absorbing miR-23a.

Authors:  Jianhong Wang; Xiangxiang Liu; Caixia Hao; Yingjuan Lu; Xiaohui Duan; Rong Liang; Guangxun Gao; Tao Zhang
Journal:  Mol Cell Biochem       Date:  2018-10-31       Impact factor: 3.396

8.  Characteristics and multi‑lineage differentiation of bone marrow mesenchymal stem cells derived from the Tibetan mastiff.

Authors:  Shuang Zhang; Chenqiong Zhao; Shi Liu; Yufeng Wang; Yuhua Zhao; Weijun Guan; Zhiqiang Zhu
Journal:  Mol Med Rep       Date:  2018-06-15       Impact factor: 2.952

9.  IL-11 promotes the treatment efficacy of hematopoietic stem cell transplant therapy in aplastic anemia model mice through a NF-κB/microRNA-204/thrombopoietin regulatory axis.

Authors:  Yan Wang; Zhi-Yun Niu; Yu-Jie Guo; Li-Hua Wang; Feng-Ru Lin; Jing-Yu Zhang
Journal:  Exp Mol Med       Date:  2017-12-08       Impact factor: 8.718

10.  High expression of FAM13A was associated with increasing the liver cirrhosis risk.

Authors:  Yingai Zhang; Shunlan Wang; Chan Wang; Jingchuan Xiao; Shufang Zhang; Hailong Zhou
Journal:  Mol Genet Genomic Med       Date:  2019-01-02       Impact factor: 2.183

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