期刊
FOOD CHEMISTRY
卷 221, 期 -, 页码 214-221出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2016.10.056
关键词
Red meat consumption; Biomarkers analysis; UPLC-QTof-MS; Metabolomics; Lipids; Health risk factors; Diabetes
资金
- World Cancer Research Fund
- Ministerio de Economia y Competitividad (Spain) [RYC-2014-19446]
Red meat consumption has been associated with negative health effects. A study to identify biomarkers of meat consumption was undertaken using serum samples collected from combining high resolution mass spectrometry (UPLC-QTof-MS) and chemometrics. Using orthogonal partial last-squares discriminant analysis (OPLS-DA), multivariate models were created for both modes of acquisition (ESI-/ESI+) and red meat intake classes (YES/NO). In the serum samples, a total 3280 and 3225 ions of interest were detected in positive and negative modes, respectively. Of these, 62 were found to be significantly different (p < 0.05) between the two groups. Glycerophospholipids as well as other family lipids, such as lysophospholipids or sphingomyelin, were found significantly (p < 0.05) different between yes and no red meat intake groups. This study has shown metabolomics fingerprints have the capability to identify potential biomarkers of red meat consumption, as well as possible health risk factors (e.g., key metabolic families related to the risk of development type 2 diabetes). (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据