N-glycosylation of milk proteins: A review spanning 2010–2022

Guan, Boyuan; Zhang, Zhenghan; Chai, Yuxia; Amantai, Xiakouna; Chen, Xinping; Cao, Xiaohong; Yue, Xiqing

doi:10.1016/j.tifs.2022.07.017

Cited by 24 publications

(23 citation statements)

References 99 publications

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“…To demonstrate the capability of differentiating complex glycan samples, we performed a comparative analysis on glycan samples extracted from cow milk, goat milk, and soy milk. Milk oligosaccharides are essential sources of nutrition, [45] and comparative analysis of milk oligosaccharides can be used for monitoring milk adulteration. [46] Extracted milk oligosaccharides contain various types of glycans that may undergo competitive reactions with the boronic acid receptors.…”

Section: Milk Sample Classificationmentioning

confidence: 99%

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

Kuai

Park

et al. 2023

Advanced Sensor Research

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Glycans are the most abundant fundamental biomolecules, but profiling glycans is challenging due to their structural complexity. To address this, a novel glycan detection platform is developed by integrating surface‐enhanced Raman spectroscopy (SERS), boronic acid receptors, and machine learning tools. Boronic acid receptors bind with glycans, and the reaction influences molecular vibrations, leading to unique Raman spectral patterns. Unlike prior studies that focus on designing a boronic acid with high binding selectivity toward a target glycan, this sensor is designed to analyze overall changes in spectral patterns using machine learning algorithms. For proof‐of‐concept, 4‐mercaptophenylboronic acid (4MBA) and 1‐thianthrenylboronic acid (1TBA) are used for glycan detection. The sensing platform successfully recognizes the stereoisomers and the structural isomers with different glycosidic linkages. The collective spectra that combine the spectra from both boronic acid receptors improve the performance of the support vector machine model due to the enrichment of the structural information of glycans. In addition, this new sensor could quantify the mole fraction of sialic acid in lactose background using the machine learning regression technique. This low‐cost, rapid, and highly accessible sensor will provide the scientific community with another option for frequent comparative glycan screening in standard biological laboratories.

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Section: Milk Sample Classificationmentioning

confidence: 99%

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

Kuai

Park

et al. 2023

Advanced Sensor Research

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“…As shown in Table 1, over 15% of only sialylated N ‐glycans and over 50% of high mannose N ‐glycans were covalently bound to CD14, and the relative abundance of core fucosylated N ‐glycans gradually increased (0%–17%) as lactation progressed (Table S8). Because infants possess underdeveloped immune systems, they are highly susceptible to external pathogens that bind to host epithelial glycan receptors via their surface lectins and induce infection (Guan et al., 2022). N ‐Glycans in milk have structurally similar antigenic epitopes to host cell glycan receptors, acting as soluble decoy receptors to competitively bind pathogens and block their adhesion to target cells, thereby facilitating the role of CD14 as a soluble pattern recognition receptor in milk that recognizes and interacts with a large number of microbial components and endogenous host proteins (Vidal & Donnet‐Hughes, 2008).…”

Section: Resultsmentioning

confidence: 99%

“…N ‐Glycosylation is one of the most prevalent and complex chemical modifications of milk proteins, where the glycan donor is covalently bound to the amide nitrogen residue of the aspartate side chain through an enzymatic reaction. Furthermore, N ‐glycosylation modification maintains the optimal conformation of the protein, and the resulting structure‐activity relationships not only affect protein physiology (such as protein transport and signal transduction) but also confer additional biochemical significance (such as prebiotic properties, anti‐pathogen properties, immunomodulators, and neurological development) to the protein substrate (Guan et al., 2022). Therefore, it is necessary to systematically establish fingerprints of site‐specific N ‐glycosylation for breast milk serum proteins.…”

Section: Introductionmentioning

confidence: 99%

New insights into site‐specific N‐glycosylation profiling differences of serum proteomes between colostrum and mature breast milk

et al. 2023

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N‐glycosylation has important implications for the physicochemical properties and biochemical activity of breast milk proteins. However, an in‐depth characterization of site‐specific N‐glycans in breast milk serum proteins is lacking. In this study, 875 site‐specific N‐glycans attached to 114 serum glycoproteins from breast colostrum (BC) and 427 site‐specific N‐glycans attached to 60 serum glycoproteins from breast mature milk (BM) were identified and quantified using label‐free site‐specific glycoproteomics. Among them, 24 site‐specific N‐glycans mapping to 11 N‐glycosites on 9 glycoproteins were significantly increased, and 76 site‐specific N‐glycans mapping to 19 N‐glycosites on 13 glycoproteins were significantly decreased. Gene ontology annotation analysis showed that BC and BM serum N‐glycoproteins were mainly enriched in complement activation, classical pathway, extracellular exosome part, and immunoglobulin receptor binding. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that BC and BM serum N‐glycoproteins were mainly involved in the PI3K‐Akt signaling pathway. Additionally, breast milk serum N‐glycoproteins carried fucosylated core structures as well as Lewis and sialylated branch structures that may contribute to neonatal retinal homeostasis. These results provide a molecular basis for understanding the unique biological activities of breast milk serum N‐glycoproteins.

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“…This technique facilitates the analysis of human milk samples and improves the ability to identify low levels of positively charged peptides and proteins. Current studies on the purification and enrichment of glycopeptides from milk proteins are mainly performed using size-exclusion chromatography (SEC), hydrophilic interaction liquid chromatography (HILIC), and porous graphitized carbon (PGC) . Kim et al employed HILIC-SPE, C18-SPE, and PGC-SPE to enrich N-glycopeptides in human milk.…”

Section: Investigation Of the Effects Of Peptidomics-based Bioactivit...mentioning

confidence: 99%

“…Donkey milk is considered a source of milk with a high degree of similarity to breast milk. Proteins are significant components of milk and regulate many biological processes, including the control of the immune system and the preservation of gut flora . Therefore, it is crucial to study the protein differences among breast, cow, and donkey milk to improve newborn nutrition and close the gap between breast milk and powdered formula.…”

Section: Proteome-based Investigation Of the Effects Of Protein Analy...mentioning

confidence: 99%

Proteomics and Peptidomics As a Tool to Compare the Proteins and Endogenous Peptides in Human, Cow, and Donkey Milk

Ning,

Yang,

Liu

et al. 2023

J. Agric. Food Chem.

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Cow’s milk is the most widely used ingredient in infant formulas. However, its specific protein composition can cause allergic reactions. Finding alternatives to replace cow’s milk and fill the nutritional gap with human milk is essential for the health of infants. Proteomic and peptidomic techniques have supported the elucidation of milk’s nutritional ingredients. Recently, omics approaches have attracted increasing interest in the investigation of milk because of their high throughput, precision, sensitivity, and reproducibility. This review offers a significant overview of recent developments in proteomics and peptidomics used to study the differences in human, cow, and donkey milk. All three types of milks were identified to have critical biological functions in human health, particularly in infants. Donkey milk proteins were closer in composition to human milk, were less likely to cause allergic reactions, and may be developed as novel raw materials for formula milk powders.

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N-glycosylation of milk proteins: A review spanning 2010–2022

Cited by 24 publications

References 99 publications

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

New insights into site‐specific N‐glycosylation profiling differences of serum proteomes between colostrum and mature breast milk

Proteomics and Peptidomics As a Tool to Compare the Proteins and Endogenous Peptides in Human, Cow, and Donkey Milk

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