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捐赠人乳中蛋白质定量不同方法的比较分析

Comparative analysis of different methods for protein quantification in donated human milk.

作者信息

Navarro-Tapia Elisabet, Herranz Barbero Ana, Marquina Maribel, Borràs-Novell Cristina, Pleguezuelos Vanessa, Vila-Candel Rafael, García-Algar Óscar, Andreu-Fernández Vicente

机构信息

Faculty of Health Sciences, Valencian International University (VIU), Valencia, Spain.

Grup de Recerca Infancia i Entorn (GRIE), Institut de Recerca Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain.

出版信息

Front Pediatr. 2024 Oct 1;12:1436885. doi: 10.3389/fped.2024.1436885. eCollection 2024.

DOI:10.3389/fped.2024.1436885
PMID:39411279
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11473365/
Abstract

BACKGROUND

Human milk is the best option for feeding newborns, especially premature infants. In the absence of breast milk, milk from a human milk bank can be a suitable alternative. However, the nutritional content of human milk may be insufficient to meet these high requirements and milk fortification is needed. To facilitate the implementation of simpler and faster analyzers in neonatal healthcare facilities, this study focuses on the concordance analysis of two different analyzers, one based on mid-infrared and the other on ultrasound, in comparison to the Bradford method for determining protein concentration in human milk.

METHODS

Mature milk samples from donor mothers were collected and pasteurized at the Human Milk Bank of Barcelona and protein quantification was performed using mid-infrared (MIRIS-HMA), ultrasound (MilkoScope Julie27), and the classical Bradford reference methods. The intraclass correlation coefficient (ICC) with 95% confidence interval and Bland-Altman plots were used to assess the agreement between methods.

RESULTS

The mean protein concentration of 142 milk samples calculated using MIRIS-HMA, MilkoScope, and the Bradford assay were 1.38, 1.15, and 1.19 g/100 ml, respectively. The ICC was 0.70 for MIRIS-HMA vs. Bradford and 0.37 for MilkoScope vs. Bradford.

CONCLUSION

MIRIS-HMA obtained a better agreement with the Bradford technique and is a promising method for developing new devices based on MIR transmission spectroscopy principles. This study confirms how MIRIS-HMA can be used to accurately calculate the protein concentration of human milk.

摘要

背景

母乳是喂养新生儿尤其是早产儿的最佳选择。在没有母乳的情况下,母乳库的乳汁可作为合适的替代品。然而,母乳的营养成分可能不足以满足这些高需求,因此需要进行乳汁强化。为了便于在新生儿保健机构中使用更简单、快速的分析仪,本研究着重对两种不同的分析仪(一种基于中红外,另一种基于超声)与用于测定母乳中蛋白质浓度的 Bradford 方法进行一致性分析。

方法

收集来自供体母亲的成熟乳汁样本,并在巴塞罗那母乳库进行巴氏杀菌,然后使用中红外(MIRIS-HMA)、超声(MilkoScope Julie27)以及经典的 Bradford 参考方法进行蛋白质定量。使用 95%置信区间的组内相关系数(ICC)和 Bland-Altman 图来评估方法之间的一致性。

结果

使用 MIRIS-HMA、MilkoScope 和 Bradford 测定法计算的 142 份乳汁样本的平均蛋白质浓度分别为 1.38、1.15 和 1.19 g/100 ml。MIRIS-HMA 与 Bradford 方法的 ICC 为 0.70,MilkoScope 与 Bradford 方法的 ICC 为 0.37。

结论

MIRIS-HMA 与 Bradford 技术的一致性更好,是基于中红外透射光谱原理开发新设备的一种有前景的方法。本研究证实了 MIRIS-HMA 可用于准确计算母乳中的蛋白质浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/f09eb288adb4/fped-12-1436885-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/0977c55cc335/fped-12-1436885-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/8464f0777043/fped-12-1436885-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/f09eb288adb4/fped-12-1436885-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/0977c55cc335/fped-12-1436885-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/8464f0777043/fped-12-1436885-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f46/11473365/f09eb288adb4/fped-12-1436885-g003.jpg

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本文引用的文献

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Deciphering macronutrient information about human milk.解读人乳中的宏量营养素信息。
J Perinatol. 2024 Sep;44(9):1377-1381. doi: 10.1038/s41372-024-02029-8. Epub 2024 Jun 15.
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Enteral Nutrition in Preterm Infants (2022): A Position Paper From the ESPGHAN Committee on Nutrition and Invited Experts.早产儿肠内营养(2022):ESP-GHAN 营养委员会及特邀专家的立场文件。
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使用整体阳离子交换高效液相色谱法对人乳中的乳铁蛋白进行定量分析。
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Comparative study of the most commonly used methods for total protein determination in milk of different species and their ultrafiltration products.不同物种牛奶及其超滤产品中总蛋白测定最常用方法的比较研究。
Front Nutr. 2022 Sep 13;9:925565. doi: 10.3389/fnut.2022.925565. eCollection 2022.
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Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting.比较基于中红外光谱和超声的分析仪测量的人乳宏量营养素,以及机器学习在数据拟合中的应用。
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