Rudolph Michael C, Young Bridget E, Jackson Kristina Harris, Krebs Nancy F, Harris William S, MacLean Paul S
Center for Human Nutrition | Division of Endocrinology, Metabolism & Diabetes, University of Colorado Denver, Mail Stop F-8305; RC1 North, 12800 E. 19th Avenue P18-5402 M, Aurora, CO, 80045-2537, USA.
Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, 12700 East 19th Ave, Box C-225, Aurora, CO, 80045, USA.
J Mammary Gland Biol Neoplasia. 2016 Dec;21(3-4):131-138. doi: 10.1007/s10911-016-9365-4. Epub 2016 Oct 28.
Accurate assessment of the long chain polyunsaturated fatty acid (LC-PUFA) content of human milk (HM) provides a powerful means to evaluate the FA nutrient status of breastfed infants. The conventional standard for FA composition analysis of HM is liquid extraction, trans-methylation, and analyte detection resolved by gas chromatography. This standard approach requires fresh or frozen samples, storage in deep freeze, organic solvents, and specialized equipment in processing and analysis. Further, HM collection is often impractical for many studies in the free living environment, particularly for studies in developing countries. In the present study, we compare a novel and more practical approach to sample collection and processing that involves the spotting and drying ~50 μL of HM on a specialized paper stored and transported at ambient temperatures until analysis. Deming regression indicated the two methods aligned very well for all LC-PUFA and the abundant HM FA. Additionally, strong correlations (r > 0.85) were observed for DHA, ARA, EPA, linoleic (LA), and alpha-linolenic acids (ALA), which are of particular interest to the health of the developing infant. Taken together, our data suggest this more practical and inexpensive method of collection, storage, and transport of HM milk samples could dramatically facilitate studies of HM, as well as understanding its lipid composition influences on human health and development.
准确评估母乳中长链多不饱和脂肪酸(LC-PUFA)的含量,为评估母乳喂养婴儿的脂肪酸营养状况提供了有力手段。母乳脂肪酸组成分析的传统标准方法是液体萃取、甲基化转化,以及通过气相色谱法进行分析物检测。这种标准方法需要新鲜或冷冻样本,保存在深度冷冻条件下,使用有机溶剂,以及在处理和分析过程中使用专门设备。此外,在自由生活环境中,母乳采集对于许多研究来说往往不切实际,特别是在发展中国家的研究。在本研究中,我们比较了一种新颖且更实用的样本采集和处理方法,该方法涉及将约50微升母乳滴在专门的纸张上,在室温下储存和运输,直至进行分析。戴明回归分析表明,两种方法对于所有LC-PUFA和丰富的母乳脂肪酸都具有很好的一致性。此外,对于对发育中婴儿健康特别重要的二十二碳六烯酸(DHA)、花生四烯酸(ARA)、二十碳五烯酸(EPA)、亚油酸(LA)和α-亚麻酸(ALA),观察到了很强的相关性(r > 0.85)。综上所述,我们的数据表明,这种更实用且成本较低的母乳样本采集、储存和运输方法,能够极大地促进对母乳的研究,以及理解其脂质组成对人类健康和发育的影响。