Gluconeogenesis Alteration and p53-SIRT6-Fox01 Signaling Adaptive Regulation in Sheep from Different Grazing Periods

Author:

Han Yongli1,Liang Chen2,Yu Yuxiang1,Zhang Jianhai1,Wang Jundong1,Cao Jinling3ORCID

Affiliation:

1. College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801 Shanxi, China

2. College of Animal Science, Shanxi Agricultural University, Taigu, 030801 Shanxi, China

3. College of Food Science and Engineering, Shanxi Agricultural University, Taigu, 030801 Shanxi, China

Abstract

The decline in sheep health and meat quality caused by seasonal nutritional deficiencies has always been an important problem in the production of naturally grazing sheep. Glucose metabolism is crucial in ruminants for adequate cell function and maintenance of the body tissues and systems. However, whether glucose metabolism, especially gluconeogenesis, is affected by seasonal grazing conditions has not been fully uncovered. Thus, twelve sheep from two seasons (dry and green grass periods) in natural grazing areas of Inner Mongolia, China, were selected for this study. Their serum glucose, insulin, PC, and PEPCK levels and volatile fatty acid (gluconeogenesis material) concentrations in rumen fluid were analyzed. The expression of key enzymes including PC, PEPCK, GLUT2, and G6P of gluconeogenesis and their regulators INSR, PI3K/AKT and p53-SIRT6-Fox01 in the liver was detected by real-time PCR and western blotting. The results revealed significant variances in gluconeogenesis and its indicators and showed p53-SIRT6-Fox01 as having potential regulation in different grazing periods. This study offers new insights into the mechanism of gluconeogenesis and adaptive regulation between dry grass period and green grass period and also provides a reference for maintaining the health of sheep and meat quality despite seasonal nutritional deficiencies.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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