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

IF 3.3 3区 医学 Q2 GENETICS & HEREDITY Genes and Nutrition Pub Date : 2024-08-29 DOI:10.1186/s12263-024-00752-7
Stephany Gonçalves Duarte, Carlos M Donado-Pestana, Tushar H More, Larissa Rodrigues, Karsten Hiller, Jarlei Fiamoncini
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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.

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干血点作为一种采样策略,可在饮食挑战过程中识别胰岛素抵抗标记物。
这项研究旨在利用干血斑(DBS)作为采样策略,鉴定自称健康人血液中餐后血糖异常的标志物。包括 31 名女性在内的 54 名志愿者参加了饮食挑战。他们食用了高脂肪、高糖的混合膳食,并在 150 分钟内进行了多次血液采样,以跟踪他们的餐后反应。他们使用便携式血糖仪监测血糖水平,并根据血糖曲线下面积(AUC)将他们分为两组:高-AUC(H-AUC)和低-AUC(L-AUC)。在评估血糖的同一时间点,使用 Whatman 903 Protein Saver 滤纸进行 DBS 采样。在 DBS 样本中进行了基于气相色谱-质谱的代谢物分析,以评估餐后血液代谢组的变化。在H-AUC组中观察到与胰岛素抵抗相关的代谢物浓度较高,包括糖和糖衍生产物,如果糖和苏氨酸,以及有机酸和脂肪酸,如琥珀酸和硬脂酸。在气相色谱-质谱分析中检测到的几种代谢物仍未确定,这表明在 DBS 中仍有其他高血糖标记物有待发现。基于这些观察结果,我们证明了使用 DBS 作为一种无创、廉价的采样工具,可以鉴定餐后血糖异常的代谢物标记物。
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来源期刊
Genes and Nutrition
Genes and Nutrition 生物-遗传学
CiteScore
6.60
自引率
0.00%
发文量
14
审稿时长
6-12 weeks
期刊介绍: This journal examines the relationship between genetics and nutrition, with the ultimate goal of improving human health. It publishes original research articles and review articles on preclinical research data coming largely from animal, cell culture and other experimental models as well as critical evaluations of human experimental data to help deliver products with medically proven use.
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