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Journal of Zhejiang University SCIENCE B
ISSN 1673-1581(Print), 1862-1783(Online), Monthly
2023 Vol.24 No.7 P.602-616
In vivo antioxidant activity of rabbiteye blueberry (Vaccinium ashei cv. ‘Brightwell’) anthocyanin extracts
Abstract: Blueberries are rich in phenolic compounds including anthocyanins which are closely related to biological health functions. The purpose of this study was to investigate the antioxidant activity of blueberry anthocyanins extracted from ‘Brightwell’ rabbiteye blueberries in mice. After one week of adaptation, C57BL/6J healthy male mice were divided into different groups that were administered with 100, 400, or 800 mg/kg blueberry anthocyanin extract (BAE), and sacrificed at different time points (0.1, 0.5, 1, 2, 4, 8, or 12 h). The plasma, eyeball, intestine, liver, and adipose tissues were collected to compare their antioxidant activity, including total antioxidant capacity (T-AOC), superoxide dismutase (SOD) activity and glutathione-peroxidase (GSH-PX/GPX) content, and the oxidative stress marker malondialdehyde (MDA) level. The results showed that blueberry anthocyanins had positive concentration-dependent antioxidant activity in vivo. The greater the concentration of BAE, the higher the T-AOC value, but the lower the MDA level. The enzyme activity of SOD, the content of GSH-PX, and messenger RNA (mRNA) levels of Cu,Zn-SOD, Mn-SOD, and GPX all confirmed that BAE played an antioxidant role after digestion in mice by improving their antioxidant defense. The in vivo antioxidant activity of BAE indicated that blueberry anthocyanins could be developed into functional foods or nutraceuticals with the aim of preventing or treating oxidative stress-related diseases.
Key words: Blueberry anthocyanin; In vivo antioxidant activity; Superoxide dismutase (SOD); Glutathione-peroxidase (GSH-PX/GPX); Malondialdehyde (MDA)
1北京大学工学院先进制造与机器人系湍流与复杂系统国家重点实验室,中国北京市,100871
2国防科技创新研究院,中国北京市,100071
摘要:对于人工系统中涌现出的复杂功能,理解自然界中生物群体行为的内在机制至关重要。本文对生物集群中的一个关键问题-追逃围捕问题进行了全面的综述。首先,从博弈论、控制论与人工智能、生物启发3个不同视角对追逃围捕问题进行了回顾。然后,概述了生物系统和人工系统中追逃围捕问题研究进展,其中捕食者的追捕行为和猎物的逃避行为被概括为捕食者-猎物行为。之后,分别从强追捕者组vs.弱逃避者组、弱追捕者组vs.强逃避者组、相同能力组3个角度分析追逃围捕问题在人工系统中的应用。最后,讨论了未来追逃围捕问题面临的挑战和发展展望。本文为多智能体系统和多机器人系统在不确定动态场景下完成复杂狩猎任务的设计提供了新的见解。
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DOI:
10.1631/jzus.B2200590
CLC number:
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On-line Access:
2023-07-15
Received:
2022-11-20
Revision Accepted:
2023-01-17
Crosschecked:
2023-07-17