fractional synthesis rate
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2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1750-1750
Author(s):  
Kristina Cross ◽  
Jorge Granados ◽  
Gabriella Ten Have ◽  
John Thaden ◽  
J Timothy Lightfoot ◽  
...  

Abstract Objectives With the rise in physical inactivity and its related diseases, it is necessary to understand the mechanisms involved in physical activity regulation. Scientists have explored physical activity regulation by investigating various physiological mechanisms involving hormones, neurotransmitters, and genetics; however, little is known about the role of metabolism on physical activity level. We hypothesize that protein turnover in specific organs like the muscle is higher in mice previously exhibiting high physical activity levels, as a mechanism to adapt to the increased demand. Therefore, we studied protein fractional synthesis rate (FSR) in tissues of inherently high and low active mice. Methods In order to study protein FSR of various organs, we assessed 12-week-old male inherently low-active (LA) mice (n = 23, lean body mass: 21.0 ± 1.1 g, C3H/HeJ strain) and high active (HA) mice (n = 20, lean body mass: 22.5 ± 1.3, C57L/J strain). One day before tissue collection, a D2O bolus was administered via intraperitoneal injection, and mice were provided D2O enriched drinking water to enrich the total body water to about 5% D2O. Eleven tissues (kidney, heart, lung, muscle, fat, jejunum, ileum, liver, brain, skin, and bone) were collected and analyzed for enrichment of alanine in the intracellular and protein-bound pool (LC-MS/MS). FSR was calculated as -ln(1-enrichment) as fraction per day. Data are mean ± SE (unpaired t-test: GraphPad Prism 8.2). Results We did not find significant differences between protein FSR of HA and LA mice in any measured organ. Example: Protein FSR (fraction/day): muscle (LA: 0.0326±-0.0026, HA: 0.0331 ± 0.0018, P = 0.8673), liver (0.3568 ± 0.0219, 0.3499 ± 0.0217, P = 0.8263), brain (0.0981 ± 0.0056, 0.1041 ± 0.0063, P = 0.4758). Conclusions The observed lack of significant differences in high and low-active mice suggests that differences in specific organ tissue protein turnover may not be a mechanism regulating inherent physical activity level. Since protein turnover is representative of the ability to adapt through upregulation and downregulation of metabolic processes, these results show that high-active mice are inherently no more equipped for metabolic regulation than the low active mice. Funding Sources Sydney and J.L. Huffines Institute for Sports Medicine, Human Performance Student Research Grant and CTRAL Grant.


2020 ◽  
Vol 46 (1) ◽  
pp. 83-88
Author(s):  
N. B. Gubergrits ◽  
N.V. Byelyayeva ◽  
T. L. Mozhyna ◽  
G. M. Lukashevich ◽  
P. G. Fomenko

After the discovery of the method of ursodeoxycholic acid’s (UDCA) synthesis and the publication of evidence confirming its ability to reduce the lithogenic properties of bile, active clinical use of UDCA began in the world. This drug, which has pleiotropic effect (choleretic, cytoprotective, immunomodulatory, antiapoptic, litholytic, hypocholesterolemic), has proven its effectiveness in the treatment various diseases: primary biliary cholangitis, intrahepatic cholestasis of pregnancy, gallstone disease. Being a tertiary bile acid, UDCA stimulates bile acid synthesis by reducing the circulating fibroblast growth factor 19 and inhibiting the activation of the farnesoid X-receptor (FXR), which leads to the induction of cholesterol-7α-hydroxylase, a key enzyme in the synthesis of bile acid de novo, mediating the conversion of cholesterol into bile acids. Changes in the formation of bile acids and cholesterol while taking UDCA intake is accompanied by activation of the main enzyme of cholesterol synthesis - 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR). Under the influence of UDCA the activity of stearoyl-Coa desaturase (SCD) in visceral white adipose tissue increases. According to studies conducted in 2019, UDCA improves lipid metabolism by regulating the activity of the ACT/mTOR signaling pathway, reduces the synthesis of cholesterol, decreases the fractional synthesis rate of cholesterol and the fractional synthesis rate of triglycerides. It has been proved that UDCA is accompanied by a decrease in the level of total cholesterol and low density lipoprotein cholesterol.


2019 ◽  
Vol 157 (9-10) ◽  
pp. 701-710
Author(s):  
Gonzalo Cantalapiedra-Hijar ◽  
Hélène Fouillet ◽  
Céline Chantelauze ◽  
Nadezda Khodorova ◽  
Lahlou Bahloul ◽  
...  

AbstractProtein turnover is an energy-consuming process that is essential for ensuring the maintenance of living organisms. Gold standard methods for whole-body protein turnover (WBPT) measurement have inherent drawbacks precluding their generalization for large farm animals and use during long periods. Here, we proposed a non-invasive proxy for the WBPT over a long period of time and in a large number of beef cattle. The proxy is based on the rate at which urine-N and plasma proteins are progressively depleted in terms of 15N after a slight decrease in the isotopic N composition of the diet (i.e. diet switch). We aimed to test the ability of this proxy to adequately discriminate the WBPT of 36 growing-fattening young bulls assigned to different dietary treatments known to impact the WBPT rate, with different protein contents (normal v. high) and amino acid profiles (balanced v. unbalanced in methionine). The 15N depletion rate found in plasma proteins represented their fractional synthesis rate, whereas the slow depletion rate found in urine was interpreted as a proxy of the WBPT. The proxy tested in urine suggested different WBPT values between the normal- and high-protein diets but not between the balanced and unbalanced methionine diets. In contrast, the proxy tested in plasma indicated that both dietary conditions affected the fractional synthesis rate of plasma proteins. We considered that the rate at which urine is progressively 15N-depleted following an isotopic diet switch could be proposed as a non-invasive proxy of the WBPT rate in large farm animals.


2015 ◽  
Vol 100 (11) ◽  
pp. 4098-4105 ◽  
Author(s):  
Paolo Tessari ◽  
Edward Kiwanuka ◽  
Rocco Barazzoni ◽  
Gianna M. Toffolo ◽  
Monica Vettore ◽  
...  

Metabolism ◽  
2014 ◽  
Vol 63 (12) ◽  
pp. 1562-1567 ◽  
Author(s):  
Demidmaa Tuvdendorj ◽  
David L. Chinkes ◽  
John Bahadorani ◽  
Xiao-jun Zhang ◽  
Melinda Sheffield-Moore ◽  
...  

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