Are Dietary Antioxidant Intake Indices Correlated to Oxidative Stress and Inflammatory Marker Levels?

氧化应激 抗氧化剂 异丙醇 医学 内科学 内分泌学 肿瘤坏死因子α 炎症 泌尿系统 生理学 食品科学 化学 脂质过氧化 生物化学
作者
Hung N. Luu,Wanqing Wen,Honglan Li,Qi Dai,Gong Yang,Qiuyin Cai,Yong‐Bing Xiang,Yu‐Tang Gao,Wei Zheng,Xiao‐Ou Shu
出处
期刊:Antioxidants & Redox Signaling [Mary Ann Liebert, Inc.]
卷期号:22 (11): 951-959 被引量:97
标识
DOI:10.1089/ars.2014.6212
摘要

Epidemiologic and experimental studies have shown that a high intake of individual dietary antioxidants is associated with a reduced risk of cancers. Few studies, however, have investigated the influences of a combination of dietary antioxidants. We evaluated the association of two dietary antioxidant indices, the Dietary Antioxidant Quality Score (DAQS) and the Composite Dietary Antioxidant Index (CDAI), with 10 oxidative stress or inflammation biomarkers (urinary F2-isoprostanes [15-F2t-IsoP]; urinary F2-isoprostane metabolites [15-F2t-IsoPM]; urinary prostaglandin E2 metabolite [PGEM]; C-reactive protein [CRP]; interleukin-1beta [IL-1β]; interleukin-6 [IL-6]; tumor necrosis factor-alpha [TNF-α]; soluble TNF-receptor 1 [sTNF-R1]; soluble TNF-receptor 2 [sTNF-R2]; and soluble GP130 [sGP130]) in 3853 participants of the Shanghai Women's Health Study (SWHS). We found the DAQS and CDAI to be highly correlated (r=0.72), and both were inversely associated with levels of IL-1β (ptrend=0.02 and 0.03, respectively) and TNF-α (ptrend=0.005 and 0.003, respectively). In addition, IL-6 and sTNF-R2 levels were inversely associated with the DAQS score; β-coefficient(±SE) for average-quality and high-quality group versus low-quality group were -0.22(±0.13) and -0.30(±0.13) (ptrend=0.06) for IL-6; -0.06(±0.04) and -0.10(±0.04) (ptrend=0.01) for sTNF-R2. Neither the DAQS nor CDAI score was significantly associated with oxidative stress or other inflammatory biomarkers. Our observations lead us to hypothesize that these two indices offer a potential aggregate method of measuring dietary anti-inflammation, but not anti-oxidation properties.
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
金云鹤发布了新的文献求助10
刚刚
共享精神应助淡定访琴采纳,获得10
刚刚
茜茜发布了新的文献求助10
2秒前
ding应助fan采纳,获得10
2秒前
3秒前
共享精神应助路茄采纳,获得10
4秒前
4秒前
顺心的荠发布了新的文献求助10
4秒前
隐形曼青应助胡桃夹子采纳,获得10
5秒前
顾矜应助hohokuz采纳,获得10
6秒前
慕青应助ely采纳,获得10
6秒前
7秒前
7秒前
7秒前
实心小墩墩完成签到,获得积分10
8秒前
菠萝桑桑发布了新的文献求助10
9秒前
陈伟杰发布了新的文献求助10
9秒前
9秒前
liu发布了新的文献求助10
12秒前
淡定访琴发布了新的文献求助10
12秒前
13秒前
罗rr完成签到 ,获得积分10
13秒前
脑洞疼应助啦啦啦采纳,获得10
14秒前
烂漫的谷波完成签到,获得积分10
15秒前
15秒前
Elhsin_Karte完成签到,获得积分10
16秒前
16秒前
Jasper应助mwang采纳,获得10
16秒前
Jasper应助simey采纳,获得20
16秒前
路茄发布了新的文献求助10
17秒前
所所应助陈伟杰采纳,获得10
17秒前
wxnice发布了新的文献求助10
18秒前
19秒前
ely发布了新的文献求助10
22秒前
勤恳的月饼完成签到,获得积分10
23秒前
26秒前
YORLAN发布了新的文献求助10
26秒前
打打应助欧阳铭采纳,获得30
27秒前
爱吃猫的鱼完成签到,获得积分10
29秒前
天际繁星发布了新的文献求助10
29秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
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
Scientific and Medical Knowledge Production, 1796-1918 Volume II: Humanity 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 3830091
求助须知:如何正确求助?哪些是违规求助? 3372591
关于积分的说明 10473430
捐赠科研通 3092192
什么是DOI,文献DOI怎么找? 1701914
邀请新用户注册赠送积分活动 818638
科研通“疑难数据库(出版商)”最低求助积分说明 770986