G-protein levels were assessed in liver and brain membranes of lean and obese mice. ADP-ribosylation and immunodetection studies revealed a decrease in the abundance of Gs and Gi alpha-subunits in the liver membranes of obese mice compared with lean mice. In contrast, in brain membranes, the abundance of these proteins was not significantly different between lean and obese mice. Studies at the mRNA level in both liver and brain revealed no difference in gene expression between lean and obese mice. Protein and mRNA studies both showed that Gs, Gi alpha 1, Gi alpha 2, Go alpha and G beta subunits are present in brain membranes, and Gi alpha 3 is barely detectable. In liver, Ga alpha, Gi alpha 2 and G beta subunits are the major constituents, whereas Gi alpha 1, Gi alpha 3 and Go alpha are barely detectable. It is possible that the differences observed at the protein level are due to different rates of translation of the mRNA. Different rates of release of the alpha-subunits from the membrane and/or different rates of degradation would also explain these results.
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http://dx.doi.org/10.1042/bj2820015 | DOI Listing |
Nutr Res
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Department of Molecular Medicine, University of Padova, Padova, Italy; IMDEA-Food, Madrid, Spain. Electronic address:
l-Theanine is a unique non-protein amino acid found abundantly in tea leaves. Interest in its potential use as a dietary supplement has surged recently, especially claims related to promoting relaxation and cognitive enhancement. This review surveys the chemistry, metabolism, and purported biological activities of l-theanine.
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University of Padua, Laboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua, Italy.
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Department of Gastroenterology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
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View Article and Find Full Text PDFMedicine (Baltimore)
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Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Chronic coronary artery disease (CAD) remains a significant global healthcare burden. Current risk assessment methods have notable limitations in early detection and risk stratification. Hence, there is an urgent need for innovative biomarkers that facilitate the premature CAD diagnosis, ultimately leading to reduction in associated morbidity and mortality rates.
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