Why the study?
To investigate the potentials of green perilla leaf extract on oxidative stress induced by a high-fat diet in aging mice.
Does green perilla leaf extract reduce oxidative stress and inflammation in aging mice fed a high-fat diet?
Does green perilla leaf extract reduce oxidative stress and inflammation in aging mice fed a high-fat diet?
Green perilla leaf extract ameliorates oxidative stress and improves lipid profiles in aging mice fed a high-fat diet, highlighting its potential as a functional food.
Should not yet change practice; leaves open PE as a functional-food candidate for HFD-aging oxidative stress.
BACKGROUND/OBJECTIVES: ) is commonly used in Asian cuisines and traditional medicine in southeast Asia. Green perilla possesses numerous beneficial effects including anti-inflammatory and antioxidant functions. To investigate the potentials of green perilla leaf extract (PE) on oxidative stress, we induced oxidative stress by high-fat diet (HFD) in aging mice. MATERIALS/METHODS: C57BL/6J male mice were fed HFD continuously for 53 weeks. Then, mice were divided into three groups for 12 weeks: a normal diet fed reference group (NDcon), high-fat diet fed group (HDcon), and high-fat diet PE treated group (HDPE, 400 mg/kg of body weight). Biochemical analyses of serum and liver tissues were performed to assess metabolic and inflammatory damage and oxidative status. Hepatic gene expression of oxidative stress and inflammation related enzymes were evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: ) and malondialdehyde (MDA) in the serum and liver; moreover, PE suppressed hepatic gene expression involved in pro-inflammatory response; Cyclooxygenase-2 (COX-2), nitric oxide synthase (NOS), interleukin 1 beta (IL-1β), and interleukin 6 (IL-6). CONCLUSIONS: This research opens opportunities for further investigations of PE as a functional food and possible anti-aging agent due to its attenuative effects against oxidative stress, resulting from HFD and aging in the future.
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Edward et al. (2022) studied this question.
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