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Ning J, Chen J, Zhu Q, Shi M, Chen J, Liu X, Luo X, Yue X. Peptidome profiling of human, bovine, and donkey colostrum through label-free quantitative analysis reveals proteolysis of milk proteins. Food Funct 2024; 15:7161-7173. [PMID: 38888609 DOI: 10.1039/d4fo00689e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Proteins and peptides play vital roles in different biological processes in vivo. As a dynamic hydrolysis system, milk is rich in proteins and proteases and provides a constant supply of endogenous bioactive peptides to newborn mammals. Previous studies have primarily focused on researching bioactive peptides by adding exogenous enzymes to milk samples. However, such an approach overlooks the significance of endogenous peptides and parent proteins that naturally exist in milk. Herein, we analyzed and compared parent proteins and their releasing peptides in human colostrum (HC), bovine colostrum (BC), and donkey colostrum (DC). The predominant proteins and hydrolyzed peptides in the three types of milk were identified. Among them, peptides were found to possess common bioactivities, including ACE inhibitory, antioxidant, antibacterial and immunomodulatory properties in HC, BC, and DC. Furthermore, the biological functions of these parent proteins were clarified using bioinformatics. These insights offer a novel perspective on natural bioactive peptides and the potential utilization of specific parent proteins and peptides to develop infant formulae derived from diverse milk sources.
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Affiliation(s)
- Jianting Ning
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Jialu Chen
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Qing Zhu
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Mingyue Shi
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Jiali Chen
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Xiaoyu Liu
- Department of Obstetrics and Gynaecology, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - Xue Luo
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
| | - Xiqing Yue
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, China.
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2
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Wang C, Jiang S, Cheng J, Wang C, Guo M. Deciphering the difference of casein fraction in human milk associated with infant gender using quantitative proteomics. Int J Biol Macromol 2023; 247:125796. [PMID: 37442503 DOI: 10.1016/j.ijbiomac.2023.125796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/15/2023]
Abstract
Human milk is an ideal natural food for infants, and the infant's gender may have impact on protein composition of breast milk. In this study, we used 4D label-free quantitative proteomics techniques to identify and quantitatively analyze casein fraction in breast milk secreted for male and female infants. The results showed that a total of 2064 proteins were identified in human milk, and 95 of them were differentially abundant proteins. Compared to breast milk secreted by mothers of female infants, 21 proteins were up-regulated, and 59 proteins were down-regulated in breast milk secreted by mothers of male infants. The most abundant domain among the differentially abundant proteins was the immunoglobulin V-set domain, which may be involved in immune regulation. Gene Ontology functional analysis revealed that, the main biological processes, molecular functions, and cellular components corresponded to cellular process, binding, and cell part, respectively. The Kyoto Encyclopedia of Genes and Genomes pathways were mainly associated with human diseases and metabolism, with biosynthesis of cofactors being the most involved pathway. The results contribute to our understanding of the composition of casein in breast milk, and may provide information about the nutritional differences in breast milk from mothers of newborns of different genders.
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Affiliation(s)
- Ce Wang
- National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China; Department of Food Science, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Shilong Jiang
- R&D Center, Heilongjiang Feihe Dairy Co., Ltd, Beijing, China
| | - Jianjun Cheng
- Dairy Science Laboratory, Northeast Agricultural University, Harbin 150030, China
| | - Cuina Wang
- Department of Food Science, College of Food Science and Engineering, Jilin University, Changchun 130062, China.
| | - Mingruo Guo
- Dairy Science Laboratory, Northeast Agricultural University, Harbin 150030, China; Department of Nutrition and Food Sciences, College of Agriculture and Life Sciences, University of Vermont, Burlington, VT 05405, USA.
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3
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Analysis of milk with liquid chromatography–mass spectrometry: a review. Eur Food Res Technol 2023. [DOI: 10.1007/s00217-022-04197-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
AbstractAs a widely consumed foodstuff, milk and dairy products are increasingly studied over the years. At the present time, milk profiling is used as a benchmark to assess the properties of milk. Modern biomolecular mass spectrometers have become invaluable to fully characterize the milk composition. This review reports the analysis of milk and its components using liquid chromatography coupled with mass spectrometry (LC–MS). LC–MS analysis as a whole will be discussed subdivided into the major constituents of milk, namely, lipids, proteins, sugars and the mineral fraction.
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4
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Sun X, Yu Z, Liang C, Xie S, Wen J, Wang H, Wang J, Yang Y, Han R. Developmental changes in proteins of casein micelles in goat milk using data-independent acquisition-based proteomics methods during the lactation cycle. J Dairy Sci 2022; 106:47-60. [PMID: 36333141 DOI: 10.3168/jds.2022-22032] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 08/12/2022] [Indexed: 11/05/2022]
Abstract
Casein micelles (CM) play an important role in milk secretion, stability, and processing. The composition and content of milk proteins are affected by physiological factors, which have been widely investigated. However, the variation in CM proteins in goat milk throughout the lactation cycle has yet to be fully clarified. In the current study, milk samples were collected at d 1, 3, 30, 90, 150, and 240 of lactation from 15 dairy goats. The size of CM was determined using laser light scattering, and CM proteins were separated, digested, and identified using data-independent acquisition (DIA) and data-dependent acquisition (DDA)-based proteomics approaches. According to clustering and principal component analysis, protein profiles identified using DIA were similar to those identified using the DDA approach. Significant differences in the abundance of 115 proteins during the lactation cycle were identified using the DIA approach. Developmental changes in the CM proteome corresponding to lactation stages were revealed: levels of lecithin cholesterol acyltransferase, folate receptor α, and prominin 2 increased from 1 to 240 d, whereas levels of growth/differentiation factor 8, peptidoglycan-recognition protein, and 45 kDa calcium-binding protein decreased in the same period. In addition, lipoprotein lipase, glycoprotein IIIb, and α-lactalbumin levels increased from 1 to 90 d and then decreased to 240 d, which is consistent with the change in CM size. Protein-protein interaction analysis showed that fibronectin, albumin, and apolipoprotein E interacted more with other proteins at the central node. These findings indicate that changes in the CM proteome during lactation could be related to requirements of newborn development, as well as mammary gland development, and may thus contribute to elucidating the physical and chemical properties of CM.
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Affiliation(s)
- Xueheng Sun
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Zhongna Yu
- Haidu College, Qingdao Agricultural University, Laiyang 265200, Shandong, China
| | - Chuozi Liang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Shubin Xie
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Jing Wen
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Hexiang Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Jun Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
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5
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Ahuja JKC, Casavale KO, Li Y, Hopperton KE, Chakrabarti S, Hines EP, Brooks SPJ, Bondy GS, MacFarlane AJ, Weiler HA, Wu X, Borghese MM, Ahluwalia N, Cheung W, Vargas AJ, Arteaga S, Lombo T, Fisher MM, Hayward D, Pehrsson PR. Perspective: Human Milk Composition and Related Data for National Health and Nutrition Monitoring and Related Research. Adv Nutr 2022; 13:2098-2114. [PMID: 36084013 PMCID: PMC9776678 DOI: 10.1093/advances/nmac099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/18/2022] [Accepted: 09/07/2022] [Indexed: 01/28/2023] Open
Abstract
National health and nutrition monitoring is an important federal effort in the United States and Canada, and the basis for many of their nutrition and health policies. Understanding of child exposures through human milk (HM) remains out of reach due to lack of current and representative data on HM's composition and intake volume. This article provides an overview of the current national health and nutrition monitoring activities for HM-fed children, HM composition (HMC) and volume data used for exposure assessment, categories of potential measures in HM, and associated variability factors. In this Perspective, we advocate for a framework for collection and reporting of HMC data for national health and nutrition monitoring and programmatic needs, including a shared vision for a publicly available Human Milk Composition Data Repository (HMCD-R) to include essential metadata associated with HMC. HMCD-R can provide a central, integrated platform for researchers and public health officials for compiling, evaluating, and sharing HMC data. The compiled compositional and metadata in HMCD-R would provide pertinent measures of central tendency and variability and allow use of modeling techniques to approximate compositional profiles for subgroups, providing more accurate exposure assessments for purposes of monitoring and surveillance. HMC and related metadata could facilitate understanding the complexity and variability of HM composition, provide crucial data for assessment of infant and maternal nutritional needs, and inform public health policies, food and nutrition programs, and clinical practice guidelines.
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Affiliation(s)
- Jaspreet K C Ahuja
- Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Services, US Department of Agriculture, Beltsville, Maryland, USA.
| | - Kellie O Casavale
- Center for Food Safety and Applied Nutrition, Food and Drug Administration, US Department of Health and Human Services, College Park, Maryland, USA
| | - Ying Li
- Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Services, US Department of Agriculture, Beltsville, Maryland, USA
| | - Kathryn E Hopperton
- Nutrition Premarket Assessment Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Subhadeep Chakrabarti
- Nutrition Premarket Assessment Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Erin P Hines
- Reproductive and Developmental Toxicology Branch, Public Health and Integrated Toxicology Division, US Environmental Protection Agency, Chapel Hill, North Carolina, USA
| | - Stephen P J Brooks
- Nutrition Research Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Genevieve S Bondy
- Bureau of Chemical Safety, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Amanda J MacFarlane
- Nutrition Research Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Hope A Weiler
- Nutrition Research Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Xianli Wu
- Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Services, US Department of Agriculture, Beltsville, Maryland, USA
| | - Michael M Borghese
- Environmental Health Sciences and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Namanjeet Ahluwalia
- National Center for Health Statistics, Centers for Disease Control and Prevention, Department of Health and Human Services, Hyattsville, Maryland, USA
| | - Winnie Cheung
- Nutrition Premarket Assessment Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Ashley J Vargas
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Sonia Arteaga
- Environmental influences on Child Health Outcomes (ECHO) Program, Office of the Director, National Institutes of Health, Bethesda, Maryland, USA
| | - Tania Lombo
- Maternal Adolescent Pediatric Research Branch, Prevention Science Program, Division of AIDS, National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, Maryland, USA
| | - Mandy M Fisher
- Environmental Health Sciences and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Deborah Hayward
- Nutrition Premarket Assessment Division, Bureau of Nutritional Sciences, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
| | - Pamela R Pehrsson
- Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Services, US Department of Agriculture, Beltsville, Maryland, USA
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Comparative Analysis of the Protein Composition of Goat Milk from French Alpine, Nubian, and Creole Breeds and Holstein Friesian Cow Milk: Implications for Early Infant Nutrition. Animals (Basel) 2022; 12:ani12172236. [PMID: 36077959 PMCID: PMC9454708 DOI: 10.3390/ani12172236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary Goat’s milk is a food that contains proteins of value for nutrition. The protein profile in the milk of goat breeds is different from that of cow milk, with a lower relative abundance of allergenic proteins. In addition, regardless of the breed, goat milk has beta-casein of type A2 in a more significant proportion than cow milk, which impacts different bioactive peptides hydrolyzed in the milk of the species. Abstract Of the diversity of proteins and high digestibility, goat milk will be a food of significant value for infant nutrition. The genetic polymorphisms of milk proteins play an essential role in the different degrees of allergic reactions. This work aimed to identify the proteins and peptides in the composition of goat milk and compare them to those in cow’s milk. The work was performed with goats French Alpine, Nubian, and Creole breeds and Holstein Friesian milking cows at the Universidad Autónoma de Querétaro, Amazcala. We investigated the relative abundance of goat and cow milk protein fractions by SDS-PAGE resolution and the densitometric analysis of gels. The protein alfa-casein was (17.67 ± 0.46) for Creole, (19.18 ± 0.88) French Alpine, (17.35 ± 0.49) Nubian, and (35.92 ± 1.96) Holstein cows. The relative abundance obtained from alfa-casein was statistically different between goats and cows, and this protein was vital because it is a protein related to allergies. On the other hand, the amino acid in position 67 of the beta-casein from three goat breeds is a Proline, so it is assumed that the beta-casein variant of goat milk is an A2-type. The latter has excellent relevance for infant nutrition and differs from cow milk.
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7
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Petrova SY, Khlgatian SV, Emelyanova OY, Pishchulina LA, Berzhets VM. Structure And Biological Functions Of Milk Caseins. RUSSIAN OPEN MEDICAL JOURNAL 2022. [DOI: 10.15275/rusomj.2022.0209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Caseins, which are contained in milk, play a significant role in the development of clinical symptoms of allergic reactions in adults and children. To date, the properties of caseins have been studied, their primary structure has been identified. However, despite available scientific reviews and original articles, an issue of the structural organization of milk casein micelles and their biological functions is still very controversial. In this regard, the proposed review is relevant, since it most fully reflects current information about various types of caseins, their physicochemical and immunobiological properties, and analyzes in detail the existing theories on the structural organization of casein micelles. Of particular interest in our review are the data on the comparative analysis of the structure and properties of caseins in both human breast milk and cow’s milk, as well as the section dealing with the allergenic activity of cow’s milk caseins and their cross-reactivity with milk proteins of other mammalian species. The objective of this review is to summarize current data on the structure and properties of casein proteins, and to determine their role in the formation of sensitization to dairy products.
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8
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Dayon L, Cominetti O, Affolter M. Proteomics of Human Biological Fluids for Biomarker Discoveries: Technical Advances and Recent Applications. Expert Rev Proteomics 2022; 19:131-151. [PMID: 35466824 DOI: 10.1080/14789450.2022.2070477] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Biological fluids are routine samples for diagnostic testing and monitoring. Blood samples are typically measured because of their moderate collection invasiveness and high information content on health and disease. Several body fluids, such as cerebrospinal fluid (CSF), are also studied and suited to specific pathologies. Over the last two decades proteomics has quested to identify protein biomarkers but with limited success. Recent technologies and refined pipelines have accelerated the profiling of human biological fluids. AREAS COVERED We review proteomic technologies for the identification of biomarkers. Those are based on antibodies/aptamers arrays or mass spectrometry (MS), but new ones are emerging. Advances in scalability and throughput have allowed to better design studies and cope with the limited sample size that had until now prevailed due to technological constraints. With these enablers, plasma/serum, CSF, saliva, tears, urine, and milk proteomes have been further profiled; we provide a non-exhaustive picture of some recent highlights (mainly covering literature from last five years in the Scopus database) using MS-based proteomics. EXPERT OPINION While proteomics has been in the shadow of genomics for years, proteomic tools and methodologies have reached a certain maturity. They are better suited to discover innovative and robust biofluid biomarkers.
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Affiliation(s)
- Loïc Dayon
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland.,Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Ornella Cominetti
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland
| | - Michael Affolter
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland
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Jaeser M, Moeckel U, Weigel K, Henle T. Natural Association of Lysozyme and Casein Micelles in Human Milk. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:1652-1658. [PMID: 35104128 DOI: 10.1021/acs.jafc.1c07192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Using reversed phase high-performance liquid chromatography with ultraviolet (UV) detection and electrospray ionization (ESI)-quadrupole time-of-flight mass spectrometry (RP-HPLC-UV-ESI-Q-TOF), the lysozyme content in the milk of 10 volunteering mothers was quantified, ranging from 29 to 96 μg/mL. Following ultracentifugation, it was found that the lysozyme in human milk, unlike other whey proteins, is mainly bound to casein micelles (ca. 75%). The enzymatic activity of human lysozyme, measured as lytic activity against cell walls of Micrococcus lysodeikticus, was similar for the micelle-bound and free protein, indicating that the micellar structure should not affect the antibacterial activity of lysozyme. The results indicate that lysozyme is an integral component of casein micelles in human milk.
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Affiliation(s)
- Mathias Jaeser
- Chair of Food Chemistry, Technische Universität Dresden, 01062 Dresden, Germany
| | - Ulrike Moeckel
- Chair of Food Chemistry, Technische Universität Dresden, 01062 Dresden, Germany
| | - Kati Weigel
- Chair of Food Chemistry, Technische Universität Dresden, 01062 Dresden, Germany
| | - Thomas Henle
- Chair of Food Chemistry, Technische Universität Dresden, 01062 Dresden, Germany
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Shao D, Huang L, Wang Y, Cui X, Li Y, Wang Y, Ma Q, Du W, Cui J. HBFP: a new repository for human body fluid proteome. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2021:6395039. [PMID: 34642750 PMCID: PMC8516408 DOI: 10.1093/database/baab065] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022]
Abstract
Body fluid proteome has been intensively studied as a primary source for disease
biomarker discovery. Using advanced proteomics technologies, early research
success has resulted in increasingly accumulated proteins detected in different
body fluids, among which many are promising biomarkers. However, despite a
handful of small-scale and specific data resources, current research is clearly
lacking effort compiling published body fluid proteins into a centralized and
sustainable repository that can provide users with systematic analytic tools. In
this study, we developed a new database of human body fluid proteome (HBFP) that
focuses on experimentally validated proteome in 17 types of human body fluids.
The current database archives 11 827 unique proteins reported by 164
scientific publications, with a maximal false discovery rate of 0.01 on both the
peptide and protein levels since 2001, and enables users to query, analyze and
download protein entries with respect to each body fluid. Three unique features
of this new system include the following: (i) the protein annotation page
includes detailed abundance information based on relative qualitative measures
of peptides reported in the original references, (ii) a new score is calculated
on each reported protein to indicate the discovery confidence and (iii) HBFP
catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of
nine amino acids according to the Human Proteome Project Data Interpretation
Guidelines, while the remaining 4473 proteins have more than two unique peptides
without given sequence information. As an important resource for human protein
secretome, we anticipate that this new HBFP database can be a powerful tool that
facilitates research in clinical proteomics and biomarker discovery. Database URL:https://bmbl.bmi.osumc.edu/HBFP/
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Affiliation(s)
- Dan Shao
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA.,Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China.,Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Lan Huang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Xueteng Cui
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yufei Li
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yao Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310G Lincoln tower, 1800 cannon drive, Columbus, OH 43210, USA
| | - Wei Du
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Juan Cui
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA
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11
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Han R, Shi R, Yu Z, Ho H, Du Q, Sun X, Wang J, Jiang H, Fan R, Yang Y. Distribution and variation in proteins of casein micellar fractions response to heat-treatment from five dairy species. Food Chem 2021; 365:130640. [PMID: 34329874 DOI: 10.1016/j.foodchem.2021.130640] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 06/02/2021] [Accepted: 07/17/2021] [Indexed: 02/04/2023]
Abstract
Casein micelles (CMs) contribute to the physicochemical properties and stability of milk. However, how the proteome of CMs changes following heat treatment has not been elucidated. Here, changes in the proteins of CMs in samples of Holstein, buffalo, yak, goat, and camel milk following heat treatment were investigated using a LC-MS/MS approach. According to the hierarchical clustering results, Holstein, yak, and buffalo milk samples had similar CMs protein components, followed by goat and camel milk samples. Changes in lipoprotein lipase and α-lactalbumin in CMs were dependent on the intensity of heat treatment and were similar among the studied species, whereas changes in κ-casein, lactoferrin, and apolipoprotein A-I differed among different types of milk. These results provide information on the distribution and variations of the proteomes of CMs following heat treatment, which will assist in the identification of proteins that are dissociated and attached to CMs from different dairy species during heat treatment.
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Affiliation(s)
- Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Runjia Shi
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Zhongna Yu
- Haidu College.Qingdao Agricultural University, Laiyang 265200, Shandong, China.
| | - Harvey Ho
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
| | - Qijing Du
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Xueheng Sun
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Jun Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Hongning Jiang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Rongbo Fan
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
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12
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Dayon L, Macron C, Lahrichi S, Núñez Galindo A, Affolter M. Proteomics of Human Milk: Definition of a Discovery Workflow for Clinical Research Studies. J Proteome Res 2021; 20:2283-2290. [PMID: 33769819 DOI: 10.1021/acs.jproteome.0c00816] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Milk is a complex biological fluid composed mainly of water, carbohydrates, lipids, proteins, and diverse bioactive factors. Human milk represents a unique tailored source of nutrients that adapts during lactation to the specific needs of the developing infant. Proteins in milk have been studied for decades, and proteomics, peptidomics, and glycoproteomics are the main approaches previously deployed to decipher the proteome of human milk. In the present work, we aimed at implementing a highly automated pipeline for the proteomic analysis of human milk with liquid chromatography mass spectrometry (MS). Commercial human milk samples were used to evaluate and optimize workflows. Centrifugation for defatting milk samples was assessed before and after reduction, alkylation, and enzymatic digestion of proteins, without and with presence of surfactants. Skimmed milk samples were analyzed using isobaric labeling-based quantitative MS on an Orbitrap Tribrid mass spectrometer. Sample fractionation using isoelectric focusing was also evaluated to more deeply profile the human milk proteome. Finally, the most appropriate workflow was transferred to a liquid handling workstation for automated sample preparation. In conclusion, we have defined and describe herein an efficient highly automated proteomic workflow for human milk sample analysis. It is compatible with clinical research, possibly allowing the analysis of sufficiently large cohorts of samples.
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Affiliation(s)
- Loïc Dayon
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne 1015, Switzerland.,Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland
| | - Charlotte Macron
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne 1015, Switzerland
| | - Sabine Lahrichi
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne 1015, Switzerland
| | - Antonio Núñez Galindo
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne 1015, Switzerland
| | - Michael Affolter
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne 1015, Switzerland
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13
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Huang L, Shao D, Wang Y, Cui X, Li Y, Chen Q, Cui J. Human body-fluid proteome: quantitative profiling and computational prediction. Brief Bioinform 2021; 22:315-333. [PMID: 32020158 PMCID: PMC7820883 DOI: 10.1093/bib/bbz160] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/22/2019] [Accepted: 10/18/2019] [Indexed: 12/15/2022] Open
Abstract
Empowered by the advancement of high-throughput bio technologies, recent research on body-fluid proteomes has led to the discoveries of numerous novel disease biomarkers and therapeutic drugs. In the meantime, a tremendous progress in disclosing the body-fluid proteomes was made, resulting in a collection of over 15 000 different proteins detected in major human body fluids. However, common challenges remain with current proteomics technologies about how to effectively handle the large variety of protein modifications in those fluids. To this end, computational effort utilizing statistical and machine-learning approaches has shown early successes in identifying biomarker proteins in specific human diseases. In this article, we first summarized the experimental progresses using a combination of conventional and high-throughput technologies, along with the major discoveries, and focused on current research status of 16 types of body-fluid proteins. Next, the emerging computational work on protein prediction based on support vector machine, ranking algorithm, and protein-protein interaction network were also surveyed, followed by algorithm and application discussion. At last, we discuss additional critical concerns about these topics and close the review by providing future perspectives especially toward the realization of clinical disease biomarker discovery.
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Affiliation(s)
- Lan Huang
- College of Computer Science and Technology in the Jilin University
| | - Dan Shao
- College of Computer Science and Technology in the Jilin University
- College of Computer Science and Technology in Changchun University
| | - Yan Wang
- College of Computer Science and Technology in the Jilin University
| | - Xueteng Cui
- College of Computer Science and Technology in the Changchun University
| | - Yufei Li
- College of Computer Science and Technology in the Changchun University
| | - Qian Chen
- College of Computer Science and Technology in the Jilin University
| | - Juan Cui
- Department of Computer Science and Engineering in the University of Nebraska-Lincoln
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14
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The protein and peptide fractions of kashk, a traditional Middle East fermented dairy product. Food Res Int 2020; 132:109107. [PMID: 32331649 DOI: 10.1016/j.foodres.2020.109107] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 02/13/2020] [Accepted: 02/15/2020] [Indexed: 12/11/2022]
Abstract
Kashk is a typical dairy product of Iran, made from sour milk. It is traditionally produced from buttermilk in a dry, round-shaped form. Today, it is also produced at industrial level in a liquid form starting from fermented milk. We aimed to characterise the kashk proteome and peptidome comparing a traditional product with the industrial using a combination of proteomic approaches including advanced chromatographic and electrophoretic separation technique coupled to tandem mass spectrometry. We identified also phosphorylated casein-derived peptides (CPP) and investigated kashk protein digestibility using a static model of food protein digestion. The molecular characterization, coupled with bioinformatic in silico analysis, allowed the identification of potential bioactive peptides.
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15
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Conzelmann C, Zou M, Groß R, Harms M, Röcker A, Riedel CU, Münch J, Müller JA. Storage-Dependent Generation of Potent Anti-ZIKV Activity in Human Breast Milk. Viruses 2019; 11:v11070591. [PMID: 31261806 PMCID: PMC6669682 DOI: 10.3390/v11070591] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 06/18/2019] [Accepted: 06/27/2019] [Indexed: 01/01/2023] Open
Abstract
Zika virus (ZIKV) causes congenital neurologic birth defects, notably microcephaly, and has been associated with other serious complications in adults. The virus has been detected in human breast milk and possible transmissions via breastfeeding have been reported. Breast milk is rich in nutrients and bio-active substances that might directly affect viral infectivity. Thus, here, we analyzed the effect of human breast milk on ZIKV infection. We observed that fresh human breast milk had no effect on ZIKV, but found that upon storage, milk effectively suppressed infection. The antiviral activity is present in the fat-containing cream fraction of milk and results in the destruction of the structural integrity of viral particles, thereby abrogating infectivity. The release of the factor is time dependent but varies with donors and incubation temperatures. The viral titer of milk that was spiked with ZIKV decreased considerably upon storage at 37 °C for 8 h, was lost entirely after 2 days of 4 °C storage, but was not affected at -20 °C. This suggests that cold storage of milk inactivates ZIKV and that the antiviral factor in milk may also be generated upon breastfeeding and limit this transmission route of ZIKV.
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Affiliation(s)
- Carina Conzelmann
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Min Zou
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
- Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Rüdiger Groß
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Mirja Harms
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Annika Röcker
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Christian U Riedel
- Institute of Microbiology and Biotechnology, Ulm University, 89081 Ulm, Germany
| | - Jan Münch
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany.
- Core Facility Functional Peptidomics, Ulm University Medical Center, 89081 Ulm, Germany.
| | - Janis A Müller
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany.
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16
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Liao Y, Weber D, Xu W, Durbin-Johnson BP, Phinney BS, Lönnerdal B. Absolute Quantification of Human Milk Caseins and the Whey/Casein Ratio during the First Year of Lactation. J Proteome Res 2017; 16:4113-4121. [PMID: 28925267 DOI: 10.1021/acs.jproteome.7b00486] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Whey proteins and caseins in breast milk provide bioactivities and also have different amino acid composition. Accurate determination of these two major protein classes provides a better understanding of human milk composition and function, and further aids in developing improved infant formulas based on bovine whey proteins and caseins. In this study, we implemented a LC-MS/MS quantitative analysis based on iBAQ label-free quantitation, to estimate absolute concentrations of α-casein, β-casein, and κ-casein in human milk samples (n = 88) collected between day 1 and day 360 postpartum. Total protein concentration ranged from 2.03 to 17.52 with a mean of 9.37 ± 3.65 g/L. Casein subunits ranged from 0.04 to 1.68 g/L (α-), 0.04 to 4.42 g/L (β-), and 0.10 to 1.72 g/L (α-), with β-casein having the highest average concentration among the three subunits. Calculated whey/casein ratio ranged from 45:55 to 97:3. Linear regression analyses show significant decreases in total protein, β-casein, κ-casein, total casein, and a significant increase of whey/casein ratio during the course of lactation. Our study presents a novel and accurate quantitative analysis of human milk casein content, demonstrating a lower casein content than earlier believed, which has implications for improved infants formulas.
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Affiliation(s)
- Yalin Liao
- Department of Nutrition, University of California , Davis, 95616, United States.,School of Veterinary & Life Sciences, Murdoch University , Murdoch, WA 6150, Australia
| | - Darren Weber
- Genome Center Proteomics Core Facility, University of California , Davis, 95616, United States
| | - Wei Xu
- School of Veterinary & Life Sciences, Murdoch University , Murdoch, WA 6150, Australia
| | - Blythe P Durbin-Johnson
- Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California , Davis, 95616, United States
| | - Brett S Phinney
- Genome Center Proteomics Core Facility, University of California , Davis, 95616, United States
| | - Bo Lönnerdal
- Department of Nutrition, University of California , Davis, 95616, United States
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17
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Proteomic analysis and cross species comparison of casein fractions from the milk of dairy animals. Sci Rep 2017; 7:43020. [PMID: 28240229 PMCID: PMC5327394 DOI: 10.1038/srep43020] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 01/18/2017] [Indexed: 12/11/2022] Open
Abstract
Casein micelles contribute to the physicochemical properties of milk and may also influence its functionality. At present, however, there is an incomplete understanding of the casein micelle associated proteins and its diversity among the milk obtained from different species. Therefore, milk samples were collected from seven dairy animals groups, casein fractions were prepared by ultracentrifugation and their constituent proteins were identified by liquid chromatography tandem mass spectrometry. A total of 193 distinct proteins were identified among all the casein micelle preparations. Protein interaction analysis indicated that caseins could interact with major whey proteins, including β-lactoglobulin, α-lactalbumin, lactoferrin, and serum albumin, and then whey proteins interacted with other proteins. Pathway analysis found that the peroxisome proliferator-activated receptor signaling pathway is shared among the studied animals. Additionally, galactose metabolism pathway is also found to be commonly involved for proteins derived from camel and horse milk. According to the similarity of casein micelle proteomes, two major sample clusters were classified into ruminant animals (Holstein and Jersey cows, buffaloes, yaks, and goats) and non-ruminants (camels and horses). Our results provide new insights into the protein profile associated with casein micelles and the functionality of the casein micelle from the studied animals.
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18
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Licier R, Miranda E, Serrano H. A Quantitative Proteomics Approach to Clinical Research with Non-Traditional Samples. Proteomes 2016; 4:proteomes4040031. [PMID: 28248241 PMCID: PMC5260964 DOI: 10.3390/proteomes4040031] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 09/19/2016] [Accepted: 09/21/2016] [Indexed: 01/13/2023] Open
Abstract
The proper handling of samples to be analyzed by mass spectrometry (MS) can guarantee excellent results and a greater depth of analysis when working in quantitative proteomics. This is critical when trying to assess non-traditional sources such as ear wax, saliva, vitreous humor, aqueous humor, tears, nipple aspirate fluid, breast milk/colostrum, cervical-vaginal fluid, nasal secretions, bronco-alveolar lavage fluid, and stools. We intend to provide the investigator with relevant aspects of quantitative proteomics and to recognize the most recent clinical research work conducted with atypical samples and analyzed by quantitative proteomics. Having as reference the most recent and different approaches used with non-traditional sources allows us to compare new strategies in the development of novel experimental models. On the other hand, these references help us to contribute significantly to the understanding of the proportions of proteins in different proteomes of clinical interest and may lead to potential advances in the emerging field of precision medicine.
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Affiliation(s)
- Rígel Licier
- Department of Medicine, San Juan Bautista School of Medicine, Caguas 00727, Puerto Rico.
- Quantitative Proteomics Laboratory, Comprehensive Cancer Center of Puerto Rico, San Juan 00936, Puerto Rico.
| | - Eric Miranda
- Quantitative Proteomics Laboratory, Comprehensive Cancer Center of Puerto Rico, San Juan 00936, Puerto Rico.
- Department of Internal Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico.
| | - Horacio Serrano
- Quantitative Proteomics Laboratory, Comprehensive Cancer Center of Puerto Rico, San Juan 00936, Puerto Rico.
- Department of Internal Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico.
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19
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Tacoma R, Fields J, Ebenstein DB, Lam YW, Greenwood SL. Characterization of the bovine milk proteome in early-lactation Holstein and Jersey breeds of dairy cows. J Proteomics 2015; 130:200-10. [PMID: 26391770 DOI: 10.1016/j.jprot.2015.09.024] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 09/15/2015] [Accepted: 09/17/2015] [Indexed: 12/25/2022]
Abstract
UNLABELLED Milk is a highly nutritious natural product that provides not only a rich source of amino acids to the consumer but also hundreds of bioactive peptides and proteins known to elicit health-benefitting activities. We investigated the milk protein profile produced by Holstein and Jersey dairy cows maintained under the same diet, management and environmental conditions using proteomic approaches that optimize protein extraction and characterization of the low abundance proteins within the skim milk fraction of bovine milk. In total, 935 low abundance proteins were identified. Gene ontology classified all proteins identified into various cellular localization and function categories. A total of 43 low abundance proteins were differentially expressed between the two dairy breeds. Bioactive proteins involved in host-defense, including lactotransferrin (P=0.0026) and complement C2 protein (P=0.0001), were differentially expressed by the two breeds, whereas others such as osteopontin (P=0.1788) and lactoperoxidase (P=0.2973) were not. This work is the first to outline the protein profile produced by two important breeds of dairy cattle maintained under the same diet, environment and management conditions in order to observe likely true breed differences. This research now allows us to better understand and contrast further research examining the bovine proteome that includes these different breeds. BIOLOGICAL SIGNIFICANCE Within the last decade, the amount of research characterizing the bovine milk proteome has increased due to growing interest in the bioactive proteins that are present in milk. Proteomic analysis of low abundance whey proteins has mainly focused on human breast milk; however, previous research has highlighted the presence of bioactive proteins in bovine milk. Recent publications outlining the cross-reactivity of bovine bioactive proteins on human biological function highlight the need for further investigation into the bovine milk proteome. The rationale behind this study is to characterize and compare the low abundance protein profile in the skim milk fraction produced from Holstein and Jersey breeds of dairy cattle, which are two major dairy cattle breeds in the USA. A combination of fractionation strategies was used to efficiently enrich the low abundance proteins from bovine skim milk for proteomic profiling. A total of 935 low abundance proteins were identified and compared between the two bovine breeds. The results from this study provide insight into breed differences and similarities in the milk proteome profile produced by two breeds of dairy cattle.
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Affiliation(s)
- Rinske Tacoma
- The University of Vermont, Department of Animal & Veterinary Sciences, 570 Main Street, Burlington, VT 05405, United States
| | - Julia Fields
- The University of Vermont, Vermont Genetics Network Proteomics Facility, 109 Carrigan Drive, Burlington, VT 05405, United States
| | - David B Ebenstein
- The University of Vermont, Department of Animal & Veterinary Sciences, 570 Main Street, Burlington, VT 05405, United States
| | - Ying-Wai Lam
- The University of Vermont, Vermont Genetics Network Proteomics Facility, 109 Carrigan Drive, Burlington, VT 05405, United States
| | - Sabrina L Greenwood
- The University of Vermont, Department of Animal & Veterinary Sciences, 570 Main Street, Burlington, VT 05405, United States.
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20
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Beck KL, Weber D, Phinney BS, Smilowitz JT, Hinde K, Lönnerdal B, Korf I, Lemay DG. Comparative Proteomics of Human and Macaque Milk Reveals Species-Specific Nutrition during Postnatal Development. J Proteome Res 2015; 14:2143-57. [PMID: 25757574 DOI: 10.1021/pr501243m] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Milk has been well established as the optimal nutrition source for infants, yet there is still much to be understood about its molecular composition. Therefore, our objective was to develop and compare comprehensive milk proteomes for human and rhesus macaques to highlight differences in neonatal nutrition. We developed a milk proteomics technique that overcomes previous technical barriers including pervasive post-translational modifications and limited sample volume. We identified 1606 and 518 proteins in human and macaque milk, respectively. During analysis of detected protein orthologs, we identified 88 differentially abundant proteins. Of these, 93% exhibited increased abundance in human milk relative to macaque and include lactoferrin, polymeric immunoglobulin receptor, alpha-1 antichymotrypsin, vitamin D-binding protein, and haptocorrin. Furthermore, proteins more abundant in human milk compared with macaque are associated with development of the gastrointestinal tract, the immune system, and the brain. Overall, our novel proteomics method reveals the first comprehensive macaque milk proteome and 524 newly identified human milk proteins. The differentially abundant proteins observed are consistent with the perspective that human infants, compared with nonhuman primates, are born at a slightly earlier stage of somatic development and require additional support through higher quantities of specific proteins to nurture human infant maturation.
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Affiliation(s)
| | | | | | | | - Katie Hinde
- ⊥Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, Massachusetts 02138, United States
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21
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Lönnerdal B. Infant formula and infant nutrition: bioactive proteins of human milk and implications for composition of infant formulas. Am J Clin Nutr 2014; 99:712S-7S. [PMID: 24452231 DOI: 10.3945/ajcn.113.071993] [Citation(s) in RCA: 164] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Human milk contains an abundance of biologically active components that are highly likely to contribute to the short- and long-term benefits of breastfeeding. Many of these components are proteins; this article describes some of these proteins, such as α-lactalbumin, lactoferrin, osteopontin, and milk fat globule membrane proteins. The possibility of adding their bovine counterparts to infant formula is discussed as well as the implications for infant health and development. An important consideration when adding bioactive proteins to infant formula is that the total protein content of formula needs to be reduced, because formula-fed infants have significantly higher concentrations of serum amino acids, insulin, and blood urea nitrogen than do breastfed infants. When reducing the protein content of formula, the amino acid composition of the formula protein becomes important because serum concentrations of the essential amino acids should not be lower than those in breastfed infants. Both the supply of essential amino acids and the bioactivities of milk proteins are dependent on their digestibility: some proteins act only in intact form, others act in the form of larger or small peptides formed during digestion, and some are completely digested and serve as a source of amino acids. The purity of the proteins or protein fractions, potential contaminants of the proteins (such as lipopolysaccharide), as well as the degree of heat processing used during their isolation also need to be considered. It is likely that there will be more bioactive components added to infant formulas in the near future, but guidelines on how to assess their bioactivities in vitro, in animal models, and in clinical studies need to be established. The extent of testing needed is likely going to depend on the degree of complexity of the components and their bioequivalence with the human compounds whose effects they are intended to mimic.
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Affiliation(s)
- Bo Lönnerdal
- Department of Nutrition, University of California, Davis, Davis, CA
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22
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Abd El-Salam MH. Application of proteomics to the areas of milk production, processing and quality control - A review. INT J DAIRY TECHNOL 2014. [DOI: 10.1111/1471-0307.12116] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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23
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Picariello G, Ferranti P, Mamone G, Klouckova I, Mechref Y, Novotny MV, Addeo F. Gel-free shotgun proteomic analysis of human milk. J Chromatogr A 2012; 1227:219-33. [DOI: 10.1016/j.chroma.2012.01.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2011] [Revised: 01/02/2012] [Accepted: 01/03/2012] [Indexed: 02/07/2023]
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