Welcome to Scholar Publishing Group

Zoology and Animal Physiology, 2021, 2(2); doi: 10.38007/ZAP.2021.020203.

Transcription and Translation Levels of PGC-1α in Skeletal Muscle of C57BL6 Mice

Author(s)

Kazuyoshier Yoshii

Corresponding Author:
Kazuyoshier Yoshii
Affiliation(s)

University of Sydney, Australia

Abstract

Skeletal muscle plays a very important role in the growth and development of the human body, but with the increase of age, the activity of various substances in skeletal muscle will also be limited. This study mainly explored the transcription and translation levels of PGC-1α in skeletal muscle of C57BL6 mice under aerobic exercise. Select 60 C57BL6 mice (N=4), the training time of the mice is fixed at 10:00, use zH-PT to control the animal's running path, and monitor the entire exercise process to confirm the exercise intensity of the mice. After the 9th week of training, the mouse was hunger striked for 6 hours, and his neck was broken and killed. The thigh bones, calf bones and thigh muscles closest to the surface of the thigh bones were obtained. The OD value was measured with a spectrophotometer, and a reverse transcription system was prepared based on an efficient cDNA inversion system. The reverse recording reaction was performed in the MyCyclePCR amplification device. After high-fat diet, the discovery of PGC-1α in skeletal muscle of mice was significantly higher than that of normal group, that is, the discovery of PGC-1α in HC group was 36.5% higher than that of NC group (P<0.05). The level of PGC-1α in skeletal muscle of HE group was 13% lower than that of HC group (P<0.05). The results show that high-fat diet can greatly increase the performance level of skeletal muscle PGC-1α, while aerobic exercise can greatly reduce the performance level of skeletal muscle PGC-1α. Appropriate aerobic exercise can reduce PGC-1α transcription and translation levels in skeletal muscle of C57BL6 mice.

Keywords

PGC-1α Transcription, Skeletal Muscle, C57BL6 Mice, Aerobic Exercise, Protein Levels

Cite This Paper

Kazuyoshier Yoshii. Transcription and Translation Levels of PGC-1α in Skeletal Muscle of C57BL6 Mice. Zoology and Animal Physiology (2021), Vol. 2, Issue 2: 27-40. https://doi.org/10.38007/ZAP.2021.020203.

References

[1] Rahnert, J. A. , Bin, Z. , Hudson, M. B. , Woodworth-Hobbs, M. E. , Russ, P. S. , & Ashok, K. . (2016). “Glucocorticoids Alter Crtc-Creb Signaling in Muscle Cells: Impact on Pgc-1α Expression and Atrophy Markers”,Plos One, 11(7),pp.e0159181.https://doi.org/10.1371/journal.pone.0159181

[2] Shi, Y. , Li, Y. , Huang, C. , Ying, L. , Xue, J. , & Wu, H. , et al. (2016). “Resveratrol Enhances Hbv Replication through Activating Sirt1-Pgc-1α-Pparα Pathway”, Entific Reports, 6(1),pp. 24744. https://doi.org/10.1038/srep24744

[3] Shute, R. J. , Heesch, M. W. , Zak, R. B. , Kreiling, J. L. , & Slivka, D. R. . (2018). “Effects of Exercise in a Cold Environment on Transcriptional Control of Pgc-1α”, AJP Regulatory Integrative and Comparative Physiology, 314(6),pp.R850-R857. https://doi.org/10.1152/ajpregu.00425.2017

[4] Zhang, G. M. , Deng, M. T. , Zhang, Y. L. , Fan, Y. X. , Wan, Y. J. , & Nie, H. T. , et al. (2016). “Effect of Pgc-1α Overexpression or Silencing on Mitochondrial Apoptosis of Goat Luteinized Granulosa Cells”,Journal of Bioenergetics & Biomembranes, 48(5), pp.493-507. https://doi.org/10.1007/s10863-016-9684-6

[5] Brook, M. S. , Wilkinson, D. J. , Phillips, B. E. , Perez-Schindler, J. , Philp, A. , & Smith, K. , et al. (2016). “Skeletal Muscle Homeostasis and Plasticity in Youth and Ageing: Impact of Nutrition and Exercise”, Acta Physiologica,216(1), pp.15-41. https://doi.org/10.1111/apha.12532

[6] Ye, Q. , Huang, W. , Li, D. , Si, E. , Wang, J. , & Wang, Y. , et al. (2016). “Overexpression of Pgc-1α Influences Mitochondrial Signal Transduction of Dopaminergic Neurons”,Molecular Neurobiology, 53(6), pp.3756. https://doi.org/10.1007/s12035-015-9299-7

[7] Li, X. , Pan, E. , Zhu, J. , Xu, L. , Chen, X. , & Li, J. , et al. (2018). “Cisplatin Enhances Hepatitis b Virus Replication and Pgc-1α Expression through Endoplasmic Reticulum Stress”, Entific Reports, 8(1), pp.3496. https://doi.org/10.1038/s41598-018-21847-3

[8] Koh, J. H. , & Kim, K. J. . (2017). “the Effects of Tfam Expression by Endurance Exercise on Ampk, Pparβ/δ and Pgc-1α in Mouse Skeletal Muscle”,Korean Journal of Physical Education, 56(2), pp.517-526. https://doi.org/10.23949/kjpe.2017.03.56.2.37

[9] Fang, Z. , Li, P. , Jia, W. , Jiang, T. , & Xiang, Y. . (2016). “Mir-696 Plays a Role in Hepatic Gluconeogenesis in Ob/Ob Mice by Targeting Pgc-1α”,International Journal of Molecular Medicine, 38(3), pp.845. https://doi.org/10.3892/ijmm.2016.2659

[10] Kristensen, T. , Pedersen, P. , Larsen, J. , Feldthusen, A. D. , Jelstrup, Søren, & Ellervik, C. . (2019). “Reduced Gene Expression of Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1α in Whole Blood in Euthyroid Patients One Year after Hemithyroidectomy for Benign Euthyroid Goiter”, Hormone & Metabolic Research, 51(02), pp.127-133. https://doi.org/10.1055/a-0822-3066

[11] Nishida, T. , & Yamada, Y. . (2016). “Sumoylation of the Krab Zinc-Finger Transcription Factor Paris/Znf746 Regulates its Transcriptional Activity”,Biochem Biophys Res Commun,473(4), pp.1261-1267. https://doi.org/10.1016/j.bbrc.2016.04.051

[12] Wu, H. , Deng, X. , Shi, Y. , Su, Y. , Wei, J. , & Duan, H. . (2016). “Pgc-1 Alpha, Glucose Metabolism and Type 2 Diabetes Mellitus”, Journal of Endocrinology, 229(3), pp.R99-R115. https://doi.org/10.1530/JOE-16-0021

[13] Giorgio Nordo , Arif Mehmood , Said Broumi, Single Valued Neutrosophic Filters, International Journal of Neutrosophic Science, 2020, Vol. 6, No. 1, pp: 08-21. https://doi.org/10.54216/IJNS.060101

[14] Rabeb Touati , Dr. Imen Ferchichi , Dr. Imen Messaoudi , Dr.Afef Elloumi Oueslati , Dr. Zied Lachiri, Pre-Cursor microRNAs from Different Species classification based on features extracted from the image, Journal of Cybersecurity and Information Management, 2020, Vol. 3, No. 1, pp: 05-13. https://doi.org/10.54216/JCIM.030101

[15] Mahmoud Miari , Mohamad Taher Anan , Mohamed Bisher Zeina, Neutrosophic Two Way ANOVA, International Journal of Neutrosophic Science, 2022, Vol. 18, No. 3, pp: 73-83.  https://doi.org/10.54216/IJNS.180306 

[16] Choi, G. H. ,  Ko, H. ,  Pedrycz, W. ,  Singh, A. K. , &  Pan, S. B. . (2020). Recognition system using fusion normalization based on morphological features of post-exercise ecg for intelligent biometrics. Sensors, 20(24), 7130. https://doi.org/10.3390/s20247130