Signaling and metabolic properties of fast and slow smooth muscle types from mice

Autor: Ferenc Szekeres, Anders Arner, Lena Boberg
Rok vydání: 2018
Předmět:
Zdroj: Pflugers Archiv
ISSN: 1432-2013
0031-6768
DOI: 10.1007/s00424-017-2096-6
Popis: This study aims to improve the classification of smooth muscle types to better understand their normal and pathological functional phenotypes. Four different smooth muscle tissues (aorta, muscular arteries, intestine, urinary bladder) with a 5-fold difference in maximal shortening velocity were obtained from mice and classified according to expression of the inserted myosin heavy chain (SMHC-B). Western blotting and quantitative PCR analyses were used to determine 15 metabolic and 8 cell signaling key components in each tissue. The slow muscle type (aorta) with a 12 times lower SMHC-B had 6-fold lower expression of the phosphatase subunit MYPT1, a 7-fold higher expression of Rhokinase 1, and a 3-fold higher expression of the PKC target CPI17, compared to the faster (urinary bladder) smooth muscle. The slow muscle had higher expression of components involved in glucose uptake and glycolysis (type 1 glucose transporter, 3 times; hexokinase, 13 times) and in gluconeogenesis (phosphoenolpyruvate carboxykinase, 43 times), but lower expression of the metabolic sensing AMP-activated kinase, alpha 2 isoform (5 times). The slow type also had higher expression of enzymes involved in lipid metabolism (hormone-sensitive lipase, 10 times; lipoprotein lipase, 13 times; fatty acid synthase, 6 times; type 2 acetyl-coenzyme A carboxylase, 8 times). We present a refined division of smooth muscle into muscle types based on the analysis of contractile, metabolic, and signaling components. Slow compared to fast smooth muscle has a lower expression of the deactivating phosphatase and upregulated Ca2+ sensitizing pathways and is more adapted for sustained glucose and lipid metabolism. © 2018 The Author(s) Correspondence Address: Arner, A.; Department of Physiology and Pharmacology, Karolinska Institutet, v Eulers v 8, Sweden; email: Anders.Arner@ki.seCC BY 4.0
Databáze: OpenAIRE