BMP4 and Rosiglitazone Improves Adipogenesis of Bovine Fetal Muscle Derived Progenitor Cells
Yahui Wang1, Ling Ren1, Yishen Xing1, Xin Hu1, 2, Qian Li1, Lingyang Xu1, Junya Li1* and Lupei Zhang1*
1Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2Molecular and Cellular Biology, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
ABSTRACT
Intramuscular fat (IMF) content is one of the most important factors determining beef quality and price. Intramuscular adipocytes develop from mesenchymal stem cells (MSCs) in mesoderm. The mechanisms of preadipocytes differentiate into mature adipocytes to a great extent are clear, but the commitment of MSCs to preadipocytes is largely unknown. In this study, the Platelet-derived growth factor receptor α (PDGFRα) positive progenitor cells were isolated from the longissimus dorsi muscle (LM) of fetal bovine and induced adipogenesis. To optimize the in vitro IMF differentiation model, the effects of bone morphogenic protein 4 (BMP4) and rosiglitazone during differentiation were studied. Comparing with control group, progenitor cells treated with BMP4 or rosiglitazone accumulated more intracellular lipid. Furthermore, the mRNA expression level of adipocyte-specific genes also increased significantly in BMP4 or rosiglitazone treated cells. The result indicated that BMP4 and rosiglitazone could promote adipogenesis and be applied in adipogenic differentiation of fetal bovine derived progenitor cells.
Article Information
Received 18 July 2019
Revised 01 October 2019
Accepted 11 October 2019
Available online 30 December 2020
Authors’ Contribution
LZ, JL and YW designed the study and drafted the paper. YW, YX and XH collected the samples. LR pretreated the samples. LX and QL analyzed the data.
Key words
BMP4, Rosiglitazone, Fetal bovine muscle, Progenitor cells, Intramuscular adipogenesis
DOI: https://dx.doi.org/10.17582/journal.pjz/20190718150746
* Corresponding author: [email protected]
0030-9923/2021/0001-0395 $ 9.00/0
Copyright 2021 Zoological Society of Pakistan
Intramuscular fat (IMF) content is one of the most important factors determining beef quality and price (Dodson et al., 2010). IMF is concentrated in clustered adipose cells and is accumulated in the perimysial connective tissue surrounding the myofiber bundles and fetal and neonatal are major stages for IMF development (Seung-Hwan et al., 2007). Intramuscular adipocytes develop from MSCs in mesoderm. IMF content is mainly determined by both number and size of intramuscular adipocytes (Du et al., 2015). The adipogenesis from MSCs to adipocytes is a multi-step process. MSCs are recruited to the adipocyte lineage forming determined preadipocytes, then these committed progenitors proliferate, undergo growth arrest, and finally differentiate into mature adipocytes (Bowers and Lane, 2007). The quantity and proportion of determined preadipocytes from MSCs affects the post-natal IMF deposition (Du et al., 2015). This process involves a highly regulated and coordinated cascade of transcription factors. C/EBPα and peroxisome proliferator-activated receptor-γ (PPARγ) are the best characterized transcriptional factors for adipogenesis (Linhart et al., 2001). These two factors appear to play crucial roles in activating expression of a large group of adipocyte-specific genes, and take on characteristics of the mature adipocyte (Tang et al., 2004b). In addition, accumulating studies have demonstrated that zinc finger transcription factor known as zinc finger protein (ZNF/ZFP) 423 plays a pivot role in determining the fate of preadipocyte. For instance, in non-adipogenic NIH 3T3 fibroblasts, ectopic expression of ZFP423 intensively activates PPARγ expression in undifferentiated cells and allows cells to suffer adipocyte differentiation, furthermore, using short hairpin RNA (shRNA) down-regulation the expression of ZFP423 in 3T3-L1 cells reduces preadipocyte PPARγ expression and lessens the differentiation ability of these cells (Gupta et al., 2010). There also article showed that ZNF423 is a critical regulator of adipogenesis in stromal vascular cells of bovine muscle (Huang et al., 2012). The mechanism of preadipocytes differentiate into mature adipocytes have been investigated a lot, but the commitment of MSCs to preadipocytes is largely unknown. In the determination progress, MSCs commit into adipocyte lineage and eventually develop into preadipocytes, accompanied by losing the pluripotency (Rosen and MacDougald, 2006).
Recently years, there are increasing researches of bovine adipogenesis. In 2012, a study showed that there presented a negative correlation between adipogenesis and Retinol-Binding Protein 4 (RBP4) expression in bovine adipocytes (Attia and EL-Sabagh, 2012). Knockdown SIRT4 was verified affected the ability of these transcription factors which regulate the differentiation of bovine adipocytes (Hong et al., 2018). BMP4 is a member of the BMP family which belongs to the transforming growth factor β superfamily and is evolutionarily conserved (Mangino et al., 1999). It is found in early embryonic development, mainly in the eye, ventral marginal zone, heart blood and otic vesicle (Knochel et al., 2001). Like other BMPs, it participated in development of bone and cartilage, specifically in development of tooth and limb (Winnier et al., 1995). BMP4 also plays important roles in adipose tissue development. It promotes white adipogenesis and adipocyte differentiation. Additionally, it is also essential for brown fat, where it induces UCP1 expression and non-shivering thermogenesis (Blazquez-Medela et al., 2019). Some studies have shown that BMP4 can improve the commitment of C3H10T1/2 pluripotent stem cells to the adipocyte lineage (Tang et al., 2004a). However, it is not clear whether BMP4 have the ability to induce commitment of muscle derived progenitor cells to adipocyte lineage and promote adipogenesis in cattle.
In this study, we investigated the role of BMP4 in adipogenesis of the progenitor cells isolated from the LM of fetal bovine. Based on the results, BMP4 is competent to trigger commitment of progenitor cells to adipocyte lineage and promote adipogenesis.
Materials and methods
Bovine fetuses between 120 to 150 days after conception were collected immediately after removal from uterus of slaughtered cows. LM was taken out from the fetus followed by isolating cells via enzyme digestion method. In virtue of PDGF Receptor α antibody (#5241, Cell Signaling Technology, USA) to filtrate PDGFRα⁺ cells and then incubated them at 37°C in 5% CO2-air. When the cells reached 80% confluence, the cells were digested with 0.25% trypsin (25200056, Gibco, USA) and subcultured into 12-well plates.
For adipogenic differentiation at 100% confluence, the cells were exposed to two types of differentiation medium (DM). One DM (CT3) contains growth medium (GM) with three inducers, 1 mM dexamethasone (D1756, Sigma, USA), 0.5 mM isobutyl-methylxanthine (I5879, Sigma, USA) and 3 μg/mL insulin (I5500, Sigma, USA). The other DM (CT4) contains an additional inducer, 1mM rosiglitazone (R2408, Sigma, USA). After 3 days, the medium was replaced every other day with maintenance medium (GM supplemented with 3 μg/mL insulin and 1mM rosiglitazone). Cells were treated with 10 ng/mL BMP4 during proliferation phase (from subculturing to 100% confluency), differentiation phase (after 100% confluency and induction) or both phases (Huang et al., 2009).
For oil red O staining after removing the culture medium, cells were washed once with phosphate-buffered saline (PBS) and fixed with 4% paraformaldehyde for 15 min at room temperature. Cells were washed and stained with 0.5% Oil Red O (O0625, Sigma, USA) for 15 min to assess intracellular lipid accumulation. Next, we measured the staining intensity of Oil Red O at 490 nm wavelength by microplate reader (Bio-Rad).
For quantitative real-time PCR total RNA was extracted using the TRIzol reagent (15596026, Invitrogen, USA) and reverse transcription was executed using PrimeScriptTM RT Master Mix (TaKaRa) following the manufacturer’s instructions. Quantitation of mRNA level by qRT-PCR was performed using ABI QuantStudio 7 Flex system to detect relative genes expression level. Primers used in qRT-PCR were list in Table I.
Six technical replicates were used for each group. Relative expression levels of each gene were calculated using the 2−ΔΔCt algorithm by normalizing to expression of 18S, and the data were presented as mean ± S.E.M. Results were analyzed using one-tailed Student’s t-test with GraphPad Prism software (GraphPad Prism, version 6.0). For BMP4 treating phase experiment, the significance between groups was determined by one-way ANOVA followed by tukey test for multiple comparisons. P < 0.05 was considered as significant difference.
Skeletal muscle is a complex organ that composed of multiple types of cells, including several kinds of stem cells. One type of muscle-derived stem cells characterized with PDGFRα expression could differentiate into adipocyte (Uezumi et al., 2010). These adipogenic progenitor cells developed from non-myogenic lineage in mesoderm and are competent to differentiate into IMF (Du et al., 2013). IMF can be detected at as early as 180 days of bovine fetus, but the adipogenic progenitor cells can be isolated at an earlier time using the PDGFRα as a positive cell surface marker (Lee et al., 2012). After inducing with adipogenic cocktail, the PDGFRα+ cells can differentiate into mature adipocytes (Guan et al., 2017). In this study, the PDGFRα+ progenitor cells were isolated from the fetal LM and induced to differentiate into mature adipocytes in vitro.
Previous reports have suggested that rosiglitazone enhance adipogenesis. In human MSCs, rosiglitazone was testified could counteract osteoblastogenesis and induce a preferential differentiation into adipocytes. There also has article showed that rosiglitazone induced adipogenic differentiation from mammalian MSC. Rosiglitazone is well-known as an insulin sensitizer, and PPARγ activator (Kim et al., 2014). Then, we compared the adipogenic efficiency of DM with or without rosiglitazone. We found that there were more mature adipocytes in CT4 group compared with CT3 group at day 9. (Fig. 1a and b). Next, we measured the staining intensity of Oil Red O at 490 nm wavelength and found the OD value was significantly higher in the group treated
Table I. Primers for real-time quantitative PCR.
Name |
Forward (5’-3’) |
Reverse (5’-3’) |
18S ZNF423 PPARγ C/EBPα FABP4 LPL THRSP SFRP6 |
CTAACCCGTTGAACCCCATT GGATTCCTCCGTGACAGCA TGGAGACCGCCCAGGTTTGC TGCGCAAGAGCCGGGACAAG GGATGATAAGATGGTGCTGGA TACCCTGCCTGAAGTTTCCAC AAGAGGCTGAGGAGGAGAGC CCTCCAGTGACCAAGATCTGTG |
CCATCCAATCGGTAGTAGCG TCGTCCTCATTCCTCTCCTCT AGCTGGGAGGACTCGGGGTG ACCAGGGAGCTCTCGGGCAG ATCCCTTGGCTTATGCTCTCT CCCAGTTTCAGCCAGACTTTC GGACTGCCTTCTATCATGTGG TTCTTCATGTGCAGCACGAG |
with DM containing rosiglitazone(p<0.01) (Fig. 1c). To further study effects of rosiglitazone on adipogenesis, we analyzed adipocyte-specific genes expression level. The results showed that the mRNA expression of ZNF423, PPARγ, C/EBPα, FABP4, LPL, THRSP and SFRP6 genes were significantly higher in CT4 group than those of CT3 group (p<0.01) (Fig. 1d). These results indicated that rosiglitazone could improve adipogenesis of bovine fetal muscle derived progenitor cells.
Previous studies have shown that BMP4 can improve the commitment of C3H10T1/2 pluripotent stem cells to the adipocyte lineage (Tang et al., 2004a). Also, BMP4 could regulate preadipocyte commitment and PPARγ activation by modulating ZNF423 nuclear localization via WISP2 (Hammarstedt et al., 2013). In this study, to investigate the role of BMP4 in the adipogenesis of the PDGFRα+ progenitor cells, we treated the PDGFRα+ progenitor cells with BMP4 during proliferation phase and induced adipogenic differentiation with DM contains four kinds of inducers. After inducing the cells to adipogenic differentiation for 9 days, we observed that the cells treated with BMP4 appeared significantly more adipocytes compared with the control group. Furthermore, we found there were a larger staining area of those treated with BMP4 using ORO staining (Fig. 2a and b). Consistent with the result of ORO staining, the OD value was higher in the BMP4 group than that of the control group at day 9 (p<0.01) (Fig. 2c). Moreover, we also collected the cells at day 4 and 9 respectively to test the adipocyte-specific genes expression. The results showed that at both day 4 and 9 BMP4 could induce the higher expression level of relative genes than that of the control group (p<0.01) (Fig. 2d and 2e).
MSCs undergoes three stages to mature adipocytes, (a) adipocyte lineage commitment, (b) cell proliferation, (c) terminal differentiation to adipocytes (Tang et al., 2004a). In this study, we treated the cells with BMP4 in the proliferation phase to investigate the role of BMP4 in adipogenesis of the progenitor cells isolated from the LM of fetal bovine. Also, we compared the effects among groups treated with BMP4 during proliferation phase, differentiation phase and both proliferation and differentiation phase. The most accumulation of intracellular lipid as well as the highest OD value were found in the group treated only in proliferative phase (Fig. 2f). The increased expression of adipocyte-specific genes, especially ZNF423 in BMP4 group also provide the evidence for that BMP4 may mainly play a role before the differentiation phase. And the optimal treating period is consistent with a previous report (Tang et al., 2004a), in which they treated proliferating C3H10T1/2 cells with BMP4 followed by adipocyte differentiation, and the C3H10T1/2 pluripotent stem cells differentiation and expression of adipocyte protein marker were promoted.
Taken together, BMP4 is competent to trigger commitment in muscle derived progenitor cells to adipocyte lineage and promote adipogenesis in cattle. Furthermore, we also verified rosiglitazone could improve adipogenesis of bovine fetal muscle derived progenitor cells. In this work, we combined the two approaches in a novel control variate that should provide useful information for in vitro studies of bovine early IMF development.
Acknowledgement
Animal experiments were conducted according to the guidelines established by the Regulations for the Administration of Affairs Concerning Experimental Animals (Ministry of Science and Technology, China). All animal protocols were approved by Animal Ethics Committee of Institute of Animal Sciences, Chinese Acadamy of Agricultrual Sciences. Pregnant cows were raised in Inner Mongolia Aokesi Agriculture Co., Ltd (Wulagai, China). All efforts were made to minimize the cow’s suffering. This work was supported by National Natural Science Foundation of China (31672384), the Cattle Breeding Innovative Research Team (ASTIPIAS03 and ZDXT2018006).
Statement of conflict of interests
Authors have declared no conflicts of interest.
References
Attia, A.E.M. and EL-Sabagh, M.R., 2012. Am. J. Biochem. Biotechnol., 8: 171-178.
Blazquez-Medela, A.M., Jumabay, M. and Bostrom, K.I., 2019. Obes. Rev., 20: 648-658. https://doi.org/10.1111/obr.12822
Bowers, R.R. and Lane, M.D., 2007. Cell Cycle, 6: 385-389. https://doi.org/10.4161/cc.6.4.3804
Dodson, M.V., Jiang, Z., Chen, J., Hausman, G.J., Guan, L.L., Novakofski, J., Thompson, D.P., Lorenzen, C.L., Fernyhough, M.E., Mir, P.S. and Reecy, J.M., 2010. J. Fd. Sci., 75: R1-8.
Du, M., Huang, Y., Das, A.K., Yang, Q., Duarte, M.S., Dodson, M.V. and Zhu, M.J., 2013. J. Anim. Sci., 91: 1419-1427. https://doi.org/10.2527/jas.2012-5670
Du, M., Wang, B., Fu, X., Yang, Q. and Zhu, M.J., 2015. Meat Sci., 109: 40-47.
Guan, L., Hu, X., Liu, L., Xing, Y., Zhou, Z., Liang, X., Yang, Q., Jin, S., Bao, J., Gao, H., Du, M., Li, J. and Zhang, L., 2017. Sci. Rep., 7: 43716. https://doi.org/10.1038/srep43716
Gupta, R.K., Arany, Z., Seale, P., Mepani, R.J., Ye, L., Conroe, H.M., Roby, Y.A., Kulaga, H., Reed, R.R. and Spiegelman, B.M., 2010. Nature, 464: 619-623. https://doi.org/10.1038/nature08816
Hammarstedt, A., Hedjazifar, S., Jenndahl, L., Gogg, S., Grunberg, J., Gustafson, B., Klimcakova, E., Stich, V., Langin, D., Laakso, M. and Smith, U., 2013. Proc. natl. Acad. Sci., 110: 2563-2568.
Hong, J., Li, S., Wang, X., Mei, C. and Zan, L., 2018. Biosci. Rep., 38: BSR20181705. https://doi.org/10.1042/BSR20181705
Huang, H., Song, T.J., Li, X., Hu, L., He, Q., Liu, M., Lane, M.D. and Tang, Q.Q., 2009. Proc. natl. Acad. Sci., 106: 12670-12675.
Huang, Y., Das, A.K., Yang, Q.Y., Zhu, M.J. and Du, M., 2012. PLoS One, 7: e47496.
Kim, J., Kwak, H.J., Cha, J.Y., Jeong, Y.S., Rhee, S.D. and Cheon, H.G., 2014. J. biol. Chem., 289: 2755-2764. https://doi.org/10.1074/jbc.M113.493650
Knochel, S., Dillinger, K., Koster, M. and Knochel, W., 2001. Mech. Dev., 109: 79-82.
Lee, Y.H., Petkova, A.P., Mottillo, E.P. and Granneman, J.G., 2012. Cell Metab., 15: 480-491. https://doi.org/10.1016/j.cmet.2012.03.009
Linhart, H.G., Ishimura-Oka, K., DeMayo, F., Kibe, T., Repka, D., Poindexter, B., Bick, R.J. and Darlington, G.J., 2001. Proc. natl. Acad. Sci., 98: 12532-12537.
Mangino, M., Torrente, I., De Luca, A., Sanchez, O., Dallapiccola, B. and Novelli, G., 1999. J. Hum. Genet., 44: 76-77. https://doi.org/10.1007/s100380050113
Rosen, E.D. and MacDougald, O.A., 2006. Nat. Rev. Mol. Cell. Biol., 7: 885-896.
Tang, Q.Q., Otto, T.C. and Lane, M.D., 2004a. Proc. natl. Acad. Sci., 101: 9607-9611.
Tang, Q.Q., Zhang, J.W. and Daniel Lane, M., 2004b. Biochem. Biophys. Res. Commun., 319: 235-239.
Uezumi, A., Fukada, S.-i., Yamamoto, N., Takeda, S.-i. and Tsuchida, K., 2010. Nature Cell Biol., 12: 143-152. https://doi.org/10.1038/ncb2014
Winnier, G., Blessing, M., Labosky, P.A. and Hogan, B.L., 1995. Genes Dev., 9: 2105-2116. https://doi.org/10.1101/gad.9.17.2105
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