FooDOxS: a database of oxidized sterols content in foods

被引:0
|
作者
Medina-Meza, Ilce Gabriela [1 ]
Vaidya, Yashasvi [1 ]
Barnaba, Carlo [2 ]
机构
[1] Michigan State Univ, Dept Biosyst & Agr Engn, 469 Wilson Rd,Room 302C, E Lansing, MI 48824 USA
[2] Univ Kansas, Dept Pharmaceut Chem, 2030 Becker Dr,Room 320D, Lawrence, KS 66047 USA
基金
美国食品与农业研究所;
关键词
CHOLESTEROL OXIDATION; 7-KETOCHOLESTEROL; SYSTEMS; CELLS; MODEL; RISK;
D O I
10.1039/d4fo00678j
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Dietary oxidized sterols (DOxS) are cholesterol-like molecules known to exert pro-inflammatory, pro-oxidant, and pro-apoptotic effects, among others. We present the FooDOxS database, a comprehensive compilation of DOxS content in over 1680 food items from 120 publications across 25 countries, augmented by data generated by our group. This database reports DOxS content in foods classified under the NOVA and What We Eat in America (WWEIA) systems, allowing a comprehensive and statistically robust summary of DOxS content in foods. Notably, we evaluated the efficacy of using NOVA and WWEIA classifications in capturing DOxS variations across food categories. Our findings provide insights into the strengths and limitations of these classification systems, enhancing their utility for assessing dietary components. This research contributes to the understanding of DOxS in food processing and suggests refinements for classification systems, holding promise for improved food safety and public health assessments. FooDOxS is a large database of dietary oxidized sterols (DOxS), cholesterol-like molecules known to exert pro-inflammatory, pro-oxidant, and pro-apoptotic effects in humans.
引用
收藏
页码:6324 / 6334
页数:12
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