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牛奶中蛋白质组分含量与免疫细胞的关系。

The Relationship Between Protein Fraction Contents and Immune Cells in Milk.

作者信息

Wang Haitong, Ren Xiaoli, Liu Li, Yang Zhuo, Li Chunfang, Bao Xiangnan, Amantuer Ayihumaer, Wen Peipei, Wang Dongwei, Zhang Shujun

机构信息

Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan 430070, China.

Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.

出版信息

Animals (Basel). 2025 May 28;15(11):1578. doi: 10.3390/ani15111578.

DOI:10.3390/ani15111578
PMID:40509044
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12153527/
Abstract

Mastitis significantly impacts both the yield and quality of milk. The somatic cell count (SCC) and differential somatic cell count (DSCC), which are related to immune cells, are primary indicators for assessing mammary gland health. In this study, eight previously established mid-infrared spectroscopy models were utilized to predict the content of milk protein fractions (αs1-CN, β-CN, κ-CN, total CN, α-LA, β-LG, IgG, and LF) in milk samples from 21,388 lactating cows across 33 herds. Four linear mixed models were applied to analyze the secretion patterns of milk protein fractions by days in milk (DIM) and parity, their variations under different mastitis conditions, and their associations with the somatic cell score (SCS), DSCC, and immune cell counts (PMN + LYM score (PMN + LYMS) and MAC score (MACS)). The primary findings of the investigation comprised the following: (1) IgG was higher in early lactation, decreased with advancing lactation days, and slightly increased in late lactation, while seven other protein factions decreased from early to peak lactation and increased during mid-to-late lactation. Parity influenced all milk protein fractions except αs1-CN, with total CN, β-CN, and α-LA decreasing and κ-CN, β-LG, IgG, and LF increasing as parity increased ( < 0.05). (2) Mastitis significantly reduced the milk yield, fat percentage, protein percentage, and the contents of total CN, β-CN, κ-CN, and α-LA while increasing β-LG, IgG, and LF. (3) The SCS was negatively correlated with milk yield and α-LA but positively correlated with the fat percentage, protein percentage, κ-CN, β-LG, IgG, and LF. (4) When the DSCC increased to 50%, the milk yield decreased, while the milk protein percentage and κ-CN content significantly increased ( < 0.05). When the DSCC exceeded 50%, the fat percentage, protein percentage, total casein, αs1-CN, β-CN, κ-CN, β-LG, IgG, and LF decreased, while the α-LA content increased ( < 0.05). (5) When the PMN + LYMS increased, the milk yield and α-LA content rose, while the milk fat percentage, the milk protein percentage, and the contents of αs1-CN, β-CN, κ-CN, total CN, β-LG, IgG, and LF decreased ( < 0.05). Conversely, when the MACS increased, the milk yield and α-LA content declined, whereas the milk fat percentage, the milk protein percentage, and the contents of αs1-CN, β-CN, κ-CN, total CN, β-LG, IgG, and LF increased ( < 0.05). This study offers valuable insights into enhancing milk product quality, advancing the early diagnosis and mechanistic research of bovine mastitis, and the sustainable development of the dairy farming industry.

摘要

乳腺炎对牛奶的产量和质量均有显著影响。与免疫细胞相关的体细胞计数(SCC)和体细胞分类计数(DSCC)是评估乳腺健康的主要指标。在本研究中,利用八个先前建立的中红外光谱模型预测了来自33个牛群的21388头泌乳奶牛的牛奶样本中乳蛋白组分(αs1-酪蛋白、β-酪蛋白、κ-酪蛋白、总酪蛋白、α-乳白蛋白、β-乳球蛋白、免疫球蛋白G、乳铁蛋白)的含量。应用四个线性混合模型分析了乳蛋白组分随泌乳天数(DIM)和胎次的分泌模式、不同乳腺炎状况下它们的变化以及它们与体细胞评分(SCS)、DSCC和免疫细胞计数(PMN + LYM评分(PMN + LYMS)和MAC评分(MACS))的关联。该调查的主要发现如下:(1)免疫球蛋白G在泌乳早期较高,随泌乳天数增加而降低,在泌乳后期略有增加,而其他七种蛋白质组分从泌乳早期到泌乳高峰期减少,在泌乳中期到后期增加。胎次影响除αs1-酪蛋白外的所有乳蛋白组分,随着胎次增加,总酪蛋白、β-酪蛋白和α-乳白蛋白减少,而κ-酪蛋白、β-乳球蛋白、免疫球蛋白G和乳铁蛋白增加(<0.05)。(2)乳腺炎显著降低了牛奶产量、脂肪百分比、蛋白质百分比以及总酪蛋白、β-酪蛋白、κ-酪蛋白和α-乳白蛋白的含量,同时增加了β-乳球蛋白、免疫球蛋白G和乳铁蛋白的含量。(3)体细胞评分与牛奶产量和α-乳白蛋白呈负相关,但与脂肪百分比、蛋白质百分比、κ-酪蛋白、β-乳球蛋白、免疫球蛋白G和乳铁蛋白呈正相关。(4)当体细胞分类计数增加到50%时,牛奶产量下降,而牛奶蛋白质百分比和κ-酪蛋白含量显著增加(<0.05)。当体细胞分类计数超过50%时,脂肪百分比、蛋白质百分比、总酪蛋白、αs1-酪蛋白、β-酪蛋白、κ-酪蛋白、β-乳球蛋白、免疫球蛋白G和乳铁蛋白减少,而α-乳白蛋白含量增加(<0.05)。(5)当PMN + LYMS增加时,牛奶产量和α-乳白蛋白含量上升,而牛奶脂肪百分比、牛奶蛋白质百分比以及αs1-酪蛋白、β-酪蛋白、κ-酪蛋白、总酪蛋白、β-乳球蛋白、免疫球蛋白G和乳铁蛋白的含量下降(<0.05)。相反,当MACS增加时,牛奶产量和α-乳白蛋白含量下降,而牛奶脂肪百分比、牛奶蛋白质百分比以及αs1-酪蛋白、β-酪蛋白、κ-酪蛋白、总酪蛋白、β-乳球蛋白、免疫球蛋白G和乳铁蛋白的含量增加(<0.05)。本研究为提高乳制品质量、推进奶牛乳腺炎的早期诊断和机制研究以及奶牛养殖业的可持续发展提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/ac8de6e4ad17/animals-15-01578-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/ac8de6e4ad17/animals-15-01578-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/3675ea00cbaf/animals-15-01578-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/5a78ae1c7026/animals-15-01578-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/f34b585eda6d/animals-15-01578-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/68f5b7e00d3b/animals-15-01578-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c87/12153527/ac8de6e4ad17/animals-15-01578-g005.jpg

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本文引用的文献

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Residual analysis for the identification of potential mid-infrared-derived biomarkers of heat stress in dairy cattle.用于识别奶牛热应激潜在中红外衍生生物标志物的残差分析。
J Dairy Sci. 2025 Feb;108(2):1714-1729. doi: 10.3168/jds.2024-25440. Epub 2024 Dec 16.
3
Usefulness of differential somatic cell count for udder health monitoring: Identifying referential values for differential somatic cell count in healthy quarters and quarters with subclinical mastitis.体细胞分类计数对乳房健康监测的作用:确定健康乳腺和亚临床型乳腺炎乳腺的体细胞分类计数参考值。
J Dairy Sci. 2025 Apr;108(4):3917-3928. doi: 10.3168/jds.2024-25403. Epub 2024 Dec 16.
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Usefulness of differential somatic cell count for udder health monitoring: Diagnostic performance of somatic cell count and differential somatic cell count for diagnosing intramammary infections in dairy herds with automated milking systems.体细胞分类计数在乳房健康监测中的作用:体细胞计数和体细胞分类计数对采用自动挤奶系统的奶牛场乳房内感染的诊断性能
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