Omega-3 fatty acids from fish and plants: same family different biological activity

作者
Philip C. Calder
出处
期刊:University of Southampton - ePrints Soton 被引量:2
链接
摘要

Low intakes of the very long-chain n-3 fatty acids eicosapentaenoic acid and docosahexaenoic acid are<br/>common in most individuals living in Western countries. Seafood, especially oily fish, is a natural source<br/>of these fatty acids, which are also found in fish oil capsules. Very long-chain n-3 fatty acids are readily<br/>incorporated into transport, functional and storage pools. This incorporation is dose-dependent and<br/>follows a kinetic pattern that is characteristic for each pool. Once they are incorporated at sufficiently<br/>high levels, eicosapentaenoic acid and docosahexaenoic acid influence the physical nature of cell<br/>membranes and membrane protein-mediated responses, lipid mediator generation, cell signalling, and<br/>gene expression in many different cell types. By acting through these mechanisms, eicosapentaenoic<br/>acid and docosahexaenoic acid influence cell and tissue physiology and the way cells and tissues<br/>respond to external signals. This appears to result in improvements in disease biomarker profiles or<br/>in health-related outcomes. Because of the recognized health improvements brought about by very<br/>long-chain n-3 fatty acids, it has been recommended to increase their intake. There is also a plant n-3<br/>fatty acid, ?-linolenic acid. This can be converted to eicosapentaenoic acid, whereas conversion to<br/>docosahexaenoic acid appears to be poor in humans. The effects of ?-linolenic acid on human health<br/>appear to be due to its conversion to eicosapentaenoic acid. Since this is limited in humans, there may<br/>be little health benefit from moderately increased consumption of ?-linolenic acid as compared with<br/>increased intake of preformed eicosapentaenoic and docosahexaenoic acids.

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
DDDD应助蓝天采纳,获得50
1秒前
1秒前
笨笨山芙举报yq求助涉嫌违规
1秒前
就但是v发布了新的文献求助10
2秒前
一休哥发布了新的文献求助30
3秒前
ling发布了新的文献求助10
3秒前
zsyf完成签到,获得积分0
5秒前
5秒前
5秒前
SciGPT应助就但是v采纳,获得10
6秒前
白术发布了新的文献求助10
6秒前
独特芝麻发布了新的文献求助30
6秒前
6秒前
10秒前
10秒前
生动书竹发布了新的文献求助10
11秒前
田様应助ling采纳,获得10
11秒前
liuguohua126发布了新的文献求助10
11秒前
11秒前
学无止境发布了新的文献求助10
11秒前
MYY驳回了Akim应助
14秒前
理想完成签到,获得积分10
15秒前
科研通AI6.4应助知之采纳,获得10
16秒前
1900发布了新的文献求助10
17秒前
17秒前
20秒前
20秒前
sunglow11完成签到,获得积分0
21秒前
23秒前
zzz发布了新的文献求助10
23秒前
笨笨山芙举报发发发求助涉嫌违规
23秒前
科研通AI6.3应助wwx采纳,获得10
25秒前
英吉利25发布了新的文献求助10
27秒前
柔弱糖豆发布了新的文献求助10
29秒前
科研通AI6.3应助blank采纳,获得10
30秒前
Roy发布了新的文献求助10
32秒前
鱼头丸子完成签到 ,获得积分10
32秒前
orixero应助MX采纳,获得30
33秒前
34秒前
pups发布了新的文献求助10
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7494657
求助须知:如何正确求助?哪些是违规求助? 9085990
关于积分的说明 19378376
捐赠科研通 7106397
什么是DOI,文献DOI怎么找? 3249772
关于科研通互助平台的介绍 2419161
邀请新用户注册赠送积分活动 2235499