Bhagwat Seema A, Haytowitz David B, Wasswa-Kintu Shirley I, Pehrsson Pamela R
Nutrient Data Laboratory, ARS, USDA, 10300 Baltimore Avenue,Building 005,Beltsville,MD20705,USA.
Department of Nutrition and Food Science,University of Maryland,College Park,MD20742,USA.
Br J Nutr. 2015 Aug 14;114(3):472-80. doi: 10.1017/S0007114515001580. Epub 2015 Jun 29.
The scientific community continues to be interested in potential links between flavonoid intakes and beneficial health effects associated with certain chronic diseases such as CVD, some cancers and type 2 diabetes. Three separate flavonoid databases (Flavonoids, Isoflavones and Proanthocyanidins) developed by the USDA Agricultural Research Service since 1999 with frequent updates have been used to estimate dietary flavonoid intakes, and investigate their health effects. However, each of these databases contains only a limited number of foods. The USDA has constructed a new Expanded Flavonoids Database for approximately 2900 commonly consumed foods, using analytical values from their existing flavonoid databases (Flavonoid Release 3.1 and Isoflavone Release 2.0) as the foundation to calculate values for all the twenty-nine flavonoid compounds included in these two databases. Thus, the new database provides full flavonoid profiles for twenty-nine predominant dietary flavonoid compounds for every food in the database. Original analytical values in Flavonoid Release 3.1 and Isoflavone Release 2.0 for corresponding foods were retained in the newly constructed database. Proanthocyanidins are not included in the expanded database. The process of formulating the new database includes various calculation techniques. This article describes the process of populating values for the twenty-nine flavonoid compounds for every food in the dataset, along with challenges encountered and resolutions suggested. The new expanded flavonoid database released on the Nutrient Data Laboratory's website would provide uniformity in estimations of flavonoid content in foods and will be a valuable tool for epidemiological studies to assess dietary intakes.
科学界一直对黄酮类化合物摄入量与某些慢性疾病(如心血管疾病、某些癌症和2型糖尿病)相关的有益健康影响之间的潜在联系感兴趣。自1999年以来,美国农业部农业研究局开发了三个独立的黄酮类化合物数据库(黄酮类化合物、异黄酮和原花青素),并经常更新,用于估计膳食黄酮类化合物摄入量,并研究其对健康的影响。然而,这些数据库中的每一个都只包含有限数量的食物。美国农业部利用其现有黄酮类化合物数据库(黄酮类化合物版本3.1和异黄酮版本2.0)的分析值作为基础,为这两个数据库中包含的所有29种黄酮类化合物计算数值,构建了一个新的扩展黄酮类化合物数据库,涵盖约2900种常见食用食物。因此,新数据库为数据库中的每一种食物提供了29种主要膳食黄酮类化合物的完整黄酮类化合物概况。新构建的数据库保留了黄酮类化合物版本3.1和异黄酮版本2.0中相应食物的原始分析值。扩展数据库中不包括原花青素。制定新数据库的过程包括各种计算技术。本文描述了为数据集中的每一种食物填充29种黄酮类化合物数值的过程,以及遇到的挑战和建议的解决方案。营养数据实验室网站上发布的新的扩展黄酮类化合物数据库将为食物中黄酮类化合物含量的估计提供一致性,并将成为评估膳食摄入量的流行病学研究的宝贵工具。