Chlorella unsaturated fatty acids suppress high‐fat diet‐induced obesity in C57/BL6J mice

脂联素 脂肪细胞 小球藻 脂肪组织 脂肪变性 内科学 脂肪肝 内分泌学 脂肪酸 生物 小球藻 生物化学 化学 肥胖 胰岛素抵抗 植物 医学 藻类 疾病
作者
Yang Yang,Shenhan Ge,Qingyan Chen,Shaoling Lin,Shaoxiao Zeng,Bee K. Tan,Jiamiao Hu
出处
期刊:Journal of Food Science [Wiley]
卷期号:87 (8): 3644-3658 被引量:5
标识
DOI:10.1111/1750-3841.16246
摘要

Abstract Chlorella has been identified as a rich source of unsaturated fatty acids. Since the antiobesity effects of unsaturated fatty acids have been well documented; therefore, we explored the antiobesity actions of chlorella unsaturated fatty acids (C.UFAs) in the current study. The obtained results demonstrated C.UFAs, which contain abundant linoleic acid, could retard body weight gain (reducing body weigh by 13.93% after 16 weeks of treatment), improve blood glucose (19.29% lower) and lipid profile (23.45% lower in TG, 8.76% lower in TC) compared to high‐fat diet‐fed C57BL/6J mice. The possible underlying mechanisms might involve reducing hepatic lipid accumulation via down‐regulation of lipogenic genes (PPARγ, C/EBPα, LPL, aP2, FAS, and SREBP‐1c) and up‐regulation of lipolytic gene (adiponectin). We also demonstrate C.UFAs could reduce HFD‐induced adipocyte hypertrophy via activation of AMPK signaling pathway in adipose tissue and liver. In summary, our study highlights the potential of C.UFAs as a functional food for obesity management. Practical Application Chlorella has already been commercialized as a functional food antiobesity function. In the current study, the unsaturated fatty acids isolated from chlorella were found to exert beneficial effects on hyperglycemia, hyperlipidemia, hepatic steatosis, and adipocyte hypertrophy in high‐fat diet‐fed mice. This may provide theoretical foundation for developing novel chlorella‐based functional foods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zzb发布了新的文献求助10
刚刚
绫艾完成签到,获得积分10
1秒前
EoGangPe发布了新的文献求助10
1秒前
1秒前
纪星星发布了新的文献求助10
1秒前
1秒前
阿鱼完成签到,获得积分10
3秒前
3秒前
DanYang发布了新的文献求助10
3秒前
田様应助伟大的娃娃采纳,获得10
3秒前
3秒前
ZHOUMOU发布了新的文献求助10
3秒前
旅程发布了新的文献求助10
3秒前
黄金矿工发布了新的文献求助10
4秒前
万能图书馆应助yuuta采纳,获得10
4秒前
orixero应助等风来采纳,获得10
4秒前
在水一方应助sui采纳,获得10
5秒前
bkagyin应助gehao采纳,获得10
5秒前
z今晚吃哥斯拉1完成签到 ,获得积分10
5秒前
SYLH应助xiixix采纳,获得20
5秒前
6秒前
yooloo发布了新的文献求助30
6秒前
bkagyin应助djh采纳,获得10
6秒前
慕青应助hetao286采纳,获得10
6秒前
从容芸发布了新的文献求助10
7秒前
DanYang完成签到,获得积分10
8秒前
科研通AI5应助dida采纳,获得30
8秒前
乐乐猫完成签到,获得积分10
9秒前
阿鱼发布了新的文献求助10
9秒前
糊涂的雁易应助好运来采纳,获得10
9秒前
奋斗初南完成签到,获得积分10
9秒前
cctv18应助芜6采纳,获得30
9秒前
李健应助小鱼采纳,获得10
10秒前
无限翅膀完成签到,获得积分10
10秒前
哈哈哈发布了新的文献求助10
10秒前
YYJ发布了新的文献求助10
11秒前
DHP完成签到,获得积分10
11秒前
Orange应助夏冰采纳,获得10
12秒前
良辰应助聪慧的梦安采纳,获得10
12秒前
12秒前
高分求助中
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Fatigue of Materials and Structures 260
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Burge and Minnechaduza Clarendonian mammalian faunas of north-central Nebraska 206
Statistical Analysis with Missing Data 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3832287
求助须知:如何正确求助?哪些是违规求助? 3374638
关于积分的说明 10485696
捐赠科研通 3094405
什么是DOI,文献DOI怎么找? 1703517
邀请新用户注册赠送积分活动 819480
科研通“疑难数据库(出版商)”最低求助积分说明 771587