In this study, we examined the effects of sesamin and vegetable oil on the concentrations of polyunsaturated fatty acid (PUFA) and lipids (triacylglycerol, free cholesterol, and phospholipid), and beta-oxidation enzyme activities in the rat liver. Rats were fed a diet containing 5% (low-fat diet) or 20% (high-fat diet) salad oil (rapeseed oil: soybean oil, 7:3) with or without sesamin (0.5% w/w) for 4 wk. As a result, the concentrations of linoleic acid (LA, n-6), alpha-linolenic acid (ALA, n-3), and total PUFA in the liver increased significantly as the result of the high-fat diet. In the high-fat diet groups, sesamin administration decreased the concentrations of LA, ALA, and total PUFA to almost the same level as the low-fat diet group, while it increased the concentrations of dihomo-gamma-linolenic acid (DGLA, n-6) and arachidonic acid (AA, n-6). The activities of carnitine acyltransferase and acyl-CoA dehydrogenase in liver mitochondria were enhanced by the intake of the high-fat diet, and were further enhanced by the administration of sesamin. Peroxisomal acyl-CoA oxidase activity was also enhanced by sesamin, while it was not affected by the dietary fat level. These results suggest that sesamin suppressed the increase of hepatic PUFA concentration caused by feeding the high-fat diet through enhancing the enzyme activities of fatty acid beta-oxidation and PUFA metabolism from LA and ALA.
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http://dx.doi.org/10.3177/jnsv.49.320 | DOI Listing |
Discov Oncol
January 2025
The Second Hospital of Lanzhou University, Lanzhou, 730030, China.
Gastric cancer, a prevalent malignant tumor worldwide, poses a significant challenge to global health. Despite ongoing advancements in treatment methods, its high incidence and mortality rates remain concerning. Although progress in treating gastric cancer is encouraging, a more critical focus is on enhancing prevention efforts.
View Article and Find Full Text PDFNutr Rev
December 2024
Department of Nutrition and Dietetics, Kent University, 34406 İstanbul, Türkiye.
Context: Rheumatoid arthritis (RA) is an autoimmune disease that leads to chronic inflammation and joint damage. Various plant-based diets are thought to have effects on RA symptoms and disease activity.
Objective: Relevant literature on the effect of different types of plant-based diets on RA was reviewed.
Cardiovasc Drugs Ther
January 2025
Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China.
Purpose: Cardiac inflammation is a basic pathological process of diabetic cardiomyopathy (DCM). Inflammatory response is closely related to pyroptosis, which is a recently identified programmed cell death type. Curcumin (CUR) is a polyphenol extracted from turmeric and has been reported to be crucial in alleviating pyroptosis in DCM.
View Article and Find Full Text PDFFASEB J
January 2025
Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Osteoarthritis (OA) is characterized by articular cartilage degeneration, leading to pain and loss of joint function. Recent studies have demonstrated that omega-3 (ω3) polyunsaturated fatty acid (PUFA) supplementation can decrease injury-induced OA progression in mice fed a high-fat diet. Furthermore, PUFAs have been shown to influence the mechanical properties of chondrocyte membranes, suggesting that alterations in mechanosensitive ion channel signaling could contribute to the mechanism by which ω3 PUFAs decreased OA pathogenesis.
View Article and Find Full Text PDFBackground: Understanding the relationship between genetic variations and brain imaging phenotypes is an important issue in Alzheimer's disease (AD) research. As an alternative to GWAS univariate analyses, canonical correlation analysis (CCA) and its deep learning extension (DCCA) are widely used to identify associations between multiple genetic variants such as SNPs and multiple imaging traits such as brain ROIs from PET/MRI. However, with the recent availability of numerous genetic variants from genotyping and whole genome sequencing data for AD, these approaches often suffer from severe overfitting when dealing with 'fat' genetics data, e.
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