干血点技术用于膳食脂肪评估的人类营养干预关注于油性鱼类的摄入。

IF 4.1 2区 医学 Q2 NUTRITION & DIETETICS
Laura Garcia-Urtiaga, Ainara Cano, Mercedes Caro, Jaione Pagaldai, Javier Amezaga, Itziar Tueros, Sara Arranz
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引用次数: 0

摘要

背景:一些研究采用干血斑(DBS)分析来测量全血中的omega-3水平,并调查其与心血管风险的关系。我们的研究评估了使用DBS作为饮食摄入标记物的有效性,特别关注于短期和长期的omega-3脂肪酸。作为一种新颖的方法,本研究旨在确定DBS的脂肪酸(FA)谱是否有助于准确反映营养习惯,并监测不同食用时期鱼类摄入量的变化。方法:对18名年龄在18-65岁的健康志愿者(男女均有)进行了一项受试者内营养干预研究。在干预开始前,通过气相色谱- fid在DBS中测定了他们的FA谱,并在不同时间段的不同时间点监测了他们的血液FA谱的变化。每天通过问卷记录饮食信息。在统计分析方面,采用层次聚类和主成分分析来检测DBS中FA谱的模式。组间差异采用Student’st检验或Wilcoxon检验进行检验,并通过线性混合模型分析访问期间的变化。结果:研究结果揭示了DBS特征的三种主要模式,这可以用参与者的饮食习惯来解释。此外,干预期间的变化表明,二十碳五烯酸(20:5n-3)水平受到前一天饮食的高度影响,而二十二碳五烯酸(22:5n-3)和二十二碳六烯酸(22:6n-3)至少需要一到两周才能显示变化,并且根据参与者开始干预前的FA水平差异不大。结论:使用DBS检测血液FA组成是一种有前景、可靠和方便的评估饮食习惯和监测食物摄入反应的方法,有助于推进个性化营养策略。试验注册:该研究于2024年10月22日在ISRCTN注册(注册号为ISRCTN47135203)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dried blood spot technique for dietary fat assessment in a human nutritional intervention focused on oily fish intake.

Dried blood spot technique for dietary fat assessment in a human nutritional intervention focused on oily fish intake.

Dried blood spot technique for dietary fat assessment in a human nutritional intervention focused on oily fish intake.

Dried blood spot technique for dietary fat assessment in a human nutritional intervention focused on oily fish intake.

Background: Several studies have employed dried blood spot (DBS) analysis to measure omega-3 levels in whole blood and investigate their associations with cardiovascular risk. Our study evaluated the effectiveness of using DBS as a marker for dietary intake, specifically focusing on omega-3 fatty acids, over both short- and long-term periods. As a novel approach, this study aims to determine whether the fatty acid (FA) profile of DBS can be useful to accurately reflect nutritional habits and monitor changes in fish intake over different consumption periods.

Methods: A within-subject nutritional intervention study was conducted with 18 healthy volunteers (both males and females aged 18-65 years). Their FA profiles were determined by GC-FID in DBS before the intervention began, and changes in their blood FA profiles were monitored at five different time-points across different periods of oily fish consumption. Dietary information was recorded daily through questionnaires. For statistical analysis, hierarchical clustering and principal component analysis were performed to detect patterns of FA profiles in DBS. Differences among groups were tested by Student´s t test or by Wilcoxon test, and changes across visits were analysed via linear mixed models.

Results: The results revealed three main patterns of the DBS profile, which could be explained by the participants' dietary habits. Furthermore, the changes during the intervention indicated that eicosapentaenoic acid (20:5n-3) levels were highly affected by the diet of the previous day, whereas docosapentaenoic acid (22:5n-3) and docosahexaenoic acid (22:6n-3) required at least one or two weeks to show changes, with little difference depending on the FA levels of the participants before they started the intervention.

Conclusion: The use of DBS to examine blood FA composition is a promising, reliable and convenient way to assess dietary habits and monitor responses to food intake, which could help advance personalised nutritional strategies.

Trial registration: The study was registered at the ISRCTN (registration number ISRCTN47135203) the 22nd October 2024.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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