Effect of dietary L-theanine supplementation on skeletal muscle fiber type transformation in weaning piglets.
Xiaoling ChenLili ChenYaning QinZhengyu MaoGang JiaHua ZhaoGuang-Mang LiuZhiqing HuangPublished in: Animal biotechnology (2022)
The aim of this study was to explore the effect of dietary L-theanine (LT) supplementation on skeletal muscle fiber type transformation in weaning piglets. Our data showed that LT significantly increased the slow-twitch fiber-related genes expression and the percentage of slow oxidative fiber, and decreased the MyHC IIb mRNA expression and the percentage of fast glycolytic fiber. In addition, LT significantly increased the succinic dehydrogenase (SDH) and malate dehydrogenase (MDH) activities and increased the LDH activities. In addition, LT significantly affected mitochondrial biogenesis and function and antioxidative related genes expression, and increased the protein expression of p-adenosine monophosphate (AMP)-activated protein kinase (AMPK) and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α), nuclear factor E2-related factor 2 (Nrf2), NADPH quinone oxidoreductase-1 (NQO1) and heme oxygenase-1 (HO-1) and decreased the Keap1 protein levels. Furthermore, our data indicated that LT significantly increased the mRNA and protein expression of prospero-related homeobox 1 (Prox1), calcineurin A (CnA), and NFATc1, suggesting that dietary LT supplementation promoted skeletal muscle fiber transition from types II to I might be via activation of calcineurin signaling pathway. Taken together, these findings suggested that LT promoted the transformation of muscle fiber types from slow oxidative to fast glycolytic by increasing antioxidant capacity and improving mitochondrial biogenesis and function and activation of calcineurin signaling pathway.
Keyphrases
- skeletal muscle
- signaling pathway
- protein kinase
- insulin resistance
- nuclear factor
- oxidative stress
- poor prognosis
- binding protein
- pi k akt
- toll like receptor
- epithelial mesenchymal transition
- type diabetes
- big data
- immune response
- intensive care unit
- induced apoptosis
- metabolic syndrome
- machine learning
- small molecule
- amino acid
- data analysis
- endoplasmic reticulum stress
- extracorporeal membrane oxygenation