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干血斑作为一种在饮食挑战期间识别胰岛素抵抗标志物的采样策略。

Dry blood spots as a sampling strategy to identify insulin resistance markers during a dietary challenge.

作者信息

Duarte Stephany Gonçalves, Donado-Pestana Carlos M, More Tushar H, Rodrigues Larissa, Hiller Karsten, Fiamoncini Jarlei

机构信息

Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 580, Bloco 14, São Paulo, SP, CEP 05508-900, Brazil.

Food Research Center - FoRC, University of São Paulo, São Paulo, Brazil.

出版信息

Genes Nutr. 2024 Aug 29;19(1):18. doi: 10.1186/s12263-024-00752-7.

Abstract

This study aimed to identify markers of postprandial dysglycemia in the blood of self-described healthy individuals using dry blood spots (DBS) as a sampling strategy. A total of 54 volunteers, including 31 women, participated in a dietary challenge. They consumed a high-fat, high-sugar mixed meal and underwent multiple blood sampling over the course of 150 min to track their postprandial responses. Blood glucose levels were monitored with a portable glucometer and individuals were classified into two groups based on the glucose area under the curve (AUC): High-AUC (H-AUC) and Low-AUC (L-AUC). DBS sampling was performed at the same time points as the assessment of glycemia using Whatman 903 Protein Saver filter paper. A gas chromatography-mass spectrometry-based metabolite profiling was conducted in the DBS samples to assess postprandial changes in blood metabolome. Higher concentrations of metabolites associated with insulin resistance were observed in individuals from the H-AUC group, including sugars and sugar-derived products such as fructose and threonic acid, as well as organic acids and fatty acids such as succinate and stearic acid. Several metabolites detected in the GC-MS analysis remained unidentified, indicating that other markers of hyperglycemia remain to be discovered in DBS. Based on these observations, we demonstrated that the use of DBS as a non-invasive and inexpensive sampling tool allows the identification of metabolites markers of dysglycemia in the postprandial period.

摘要

本研究旨在以干血斑(DBS)作为采样策略,在自称健康的个体血液中识别餐后血糖异常的标志物。共有54名志愿者(包括31名女性)参与了一项饮食挑战。他们食用了高脂肪、高糖的混合餐,并在150分钟内进行了多次血液采样,以追踪他们的餐后反应。使用便携式血糖仪监测血糖水平,并根据曲线下面积(AUC)将个体分为两组:高AUC(H-AUC)组和低AUC(L-AUC)组。在与血糖评估相同的时间点,使用Whatman 903蛋白保存滤纸进行DBS采样。对DBS样本进行基于气相色谱-质谱的代谢物谱分析,以评估餐后血液代谢组的变化。在H-AUC组个体中观察到与胰岛素抵抗相关的代谢物浓度较高,包括糖类和糖衍生产品,例如果糖和苏糖酸,以及有机酸和脂肪酸,例如琥珀酸和硬脂酸。气相色谱-质谱分析中检测到的几种代谢物仍未识别出来,这表明在DBS中仍有待发现其他高血糖标志物。基于这些观察结果,我们证明,使用DBS作为一种非侵入性且廉价的采样工具,可以识别餐后血糖异常的代谢物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0158/11363552/c74c803a61f8/12263_2024_752_Fig1_HTML.jpg

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