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Yang B, He F, Huan C, Hu R, Li J, Yi K, Kong Z, Luo Y. Bovine Milk Proteome: Milk Fat Globule Membrane Protein Is the Most Sensitive Fraction in Response to High Somatic Cell Count. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:15884-15893. [PMID: 37816197 DOI: 10.1021/acs.jafc.3c04480] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
The impacts of high milk somatic cell count (SCC) on different milk fractions are not well understood. In this study, proteins in milk exosomes, milk fat globule membrane (MFGM), and whey from cows with low (<105 cells/mL, CG) and high SCC (>5 × 105 cells/mL, HSG) were identified using a tandem mass tag proteomic approach. In total, 1568, 2160, and 1002 proteins were identified, with 65, 552, and 98 proteins being altered by high SCC in exosomes, MFGM, and whey, respectively. With high SCC, the exosome marker (ACTB) was increased in the exosomes of HSG. The main MFGM proteins (BTN1A1, PLIN3, FABP3, and MFGE8) and functional proteins (MUC1, IGSF5, TLR5, and CD36/14) were decreased, while the lipid/energy metabolism-related proteins were increased in the MFGM of HSG. The glycolysis-related proteins were increased in the whey of HSG. Also, the host defense/inflammation-related proteins were changed in three fractions under high SCCs. MFGM was the most sensitive fraction to a high SCC, followed by whey. These findings provide guidance for the early detection of unhealthy mammary glands.
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Affiliation(s)
- Bin Yang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou ,Zhejiang 310023, China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University),Ministry of Education, Hangzhou, Zhejiang 310058, China
| | - Fang He
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
| | - Cheng Huan
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
| | - Renke Hu
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
| | - Jianbo Li
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
| | - Kangle Yi
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
| | - Zhiwei Kong
- College of Animal Science and Technology, Guangxi University, Nanning, Guangxi 530004, China
| | - Yang Luo
- College of Animal Science and Technology, Guangxi University, Nanning, Guangxi 530004, China
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan 410131, China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University),Ministry of Education, Hangzhou, Zhejiang 310058, China
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Yang H, Zhao X, Zhang Z, Ma P, Wang X, Song D, Sun Y. Biotin-streptavidin sandwich integrated PDA-ZnO@Au nanocomposite based SPR sensor for hIgG detection. Talanta 2022; 246:123496. [PMID: 35487015 DOI: 10.1016/j.talanta.2022.123496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/09/2022] [Accepted: 04/19/2022] [Indexed: 10/18/2022]
Abstract
SPR is a mature optical biosensor technology for detecting biomolecular interactions without fluorescence or enzyme labeling. In this paper, we acquire a sensitive SPR biosensor based on ZnO@Au nanomaterial, and the classical sandwich strategy using biotin-streptavidin for secondary signal amplification system was used to detect human IgG (hIgG). Nano-zinc oxide (ZnO) has the dual characteristics of nanocomposite and traditional zinc oxide, with large specific surface area and high chemical activity. Besides, the gold-coated ZnO nanocrystals improve the optical properties of ZnO and enlarge the loading capacity with better biocompatibility. Therefore, a sensing platform based on PDA-ZnO@Au nanomaterial was constructed on gold film modified with mercaptan. Meanwhile, the biotin-avidin system in SPR sensor field has been rapidly developed and applied. Due to the highly selection of streptavidin (SA) and biotin interact with each other, GNRs-SA-biotin-Ab2 (GSAB-Ab2) were constructed to obtain the secondary enhancement of SPR signal. The influences of experimental conditions were also discussed. With optimal experimental conditions, introducing GSAB-Ab2 conjugate combined with a sandwich format, the resulting SPR biosensor provides a favourable range for hIgG determination of 0.0375-40 μg mL-1. The minimum detection concentration of hIgG that can be obtained by this method is approximately 67-fold lower than the conventional SPR sensor based on gold film. The sensitivity of SPR biosensor is significantly improved in a certain range.
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Affiliation(s)
- Haohua Yang
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Xueqi Zhao
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Ziwei Zhang
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Pinyi Ma
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Xinghua Wang
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Daqian Song
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China
| | - Ying Sun
- College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
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Ribeiro D, Planchon S, Leclercq C, Raundrup K, Alves S, Bessa R, Renaut J, Almeida A. The muscular, hepatic and adipose tissues proteomes in muskox (Ovibos moschatus): Differences between males and females. J Proteomics 2019; 208:103480. [DOI: 10.1016/j.jprot.2019.103480] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/28/2019] [Accepted: 08/02/2019] [Indexed: 02/07/2023]
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Cecchinato A, Bobbo T, Ruegg PL, Gallo L, Bittante G, Pegolo S. Genetic variation in serum protein pattern and blood β-hydroxybutyrate and their relationships with udder health traits, protein profile, and cheese-making properties in Holstein cows. J Dairy Sci 2018; 101:11108-11119. [PMID: 30316608 DOI: 10.3168/jds.2018-14907] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 08/24/2018] [Indexed: 12/15/2022]
Abstract
The aim of this study was to investigate in Holstein cows the genetic basis of blood serum metabolites [i.e., total protein, albumin, globulin, albumin:globulin ratio (A:G), and blood β-hydroxybutyrate (BHB)], a set of milk phenotypes related to udder health, milk quality technological characteristics, and genetic relationships among them. Samples of milk were collected from 498 Holstein cows belonging to 28 herds. All animal welfare and milk phenotypes were assessed using standard analytical methodology. A set of Bayesian univariate and bivariate animal models was implemented via Gibbs sampling, and statistical inference was based on the marginal posterior distributions of parameters of concern. We observed a small additive genetic influence for serum albumin concentrations, moderate heritability (≥0.20) for total proteins, globulins, and A:G, and high heritability (0.37) for blood BHB. Udder health traits (somatic cell score, milk lactose, and milk pH) showed low or moderate heritabilities (0.15-0.20), whereas variations in milk protein fraction concentrations were confirmed as mostly under genetic control (heritability: 0.21-0.71). The moderate and high heritabilities observed for milk coagulation properties and curd firming modeling parameters provided confirmation that genetic background exerts a strong influence on the cheese-making ability of milk, largely due to genetic polymorphisms in the major milk protein genes. Blood BHB showed strong negative genetic correlations with globulins (-0.619) but positive correlations with serum albumin (0.629) and A:G (0.717), which suggests that alterations in the serum protein pattern and BHB blood levels are likely to be genetically related. Strong relationships were found between albumin and fat percentages (-0.894), between globulin and αS2-CN (-0.610), and, to a lesser extent, between serum protein pattern and milk technological characteristics. Genetic relationships between blood BHB and traits related to udder health and milk quality and technological characteristics were mostly weak. This study provides evidence that there is exploitable additive genetic variation for traits related to animal health and welfare and throws light on the shared genetic basis of these traits and the phenotypes related to the quality and cheese-making ability of milk.
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Affiliation(s)
- Alessio Cecchinato
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Padova, Italy.
| | - Tania Bobbo
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Padova, Italy
| | - Pamela L Ruegg
- Department of Animal Science, Michigan State University, East Lansing 48824
| | - Luigi Gallo
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Padova, Italy
| | - Giovanni Bittante
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Padova, Italy
| | - Sara Pegolo
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Padova, Italy
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Shen Y, Chen L, Yang W, Wang Z. Exploration of serum sensitive biomarkers of fatty liver in dairy cows. Sci Rep 2018; 8:13574. [PMID: 30206404 PMCID: PMC6133919 DOI: 10.1038/s41598-018-31845-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 08/10/2018] [Indexed: 12/24/2022] Open
Abstract
Serum proteins are sensitive with diseases in dairy cows, and some of them could be used as biomarkers for fatty liver. This study aimed to explore serum biomarkers for fatty liver in dairy cows. A total of 28 early lactating dairy cows were chosen from a commercial dairy herds, liver samples were collected for determining concentration of triacylglycerol (TAG), and serum samples were collected for measuring fibroblast growth factor-21 (FGF-21), adiponectin, Lipoprotein-associated phospholipase A2 (LP-PLA2), and hemoglobin (Hb). Dairy cows were divided into fatty liver (liver TAG > 5%, wet weight) and control group (liver TAG < 5%, wet weight). Concentration of FGF-21 was greater in fatty liver cows, while the concentration of LP-PLA2 and Hb was less. The concentration of FGF-21 and total Hb had strong correlation with the liver TAG as well as good prediction power (kappa value = 0.79 and 0.58, respectively). These results suggested that the serum concentration of FGF-21 and total Hb could be potentially used as fatty liver biomarkers in lactating dairy cows.
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Affiliation(s)
- Yizhao Shen
- Ruminant Nutrition and Physiology Laboratory, College of Animal Science and Technology, Shandong Agricultural University, Taian, 271018, P.R. China.,Agriculture and Agri-Food Canada, Lethbridge Research Centre, Alberta, T1J 4B1, Canada
| | - Lianmin Chen
- Department of Paediatrics & Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Wenzhu Yang
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, Alberta, T1J 4B1, Canada
| | - Zhonghua Wang
- Ruminant Nutrition and Physiology Laboratory, College of Animal Science and Technology, Shandong Agricultural University, Taian, 271018, P.R. China.
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Li S, Wang Q, Lin X, Jin X, Liu L, Wang C, Chen Q, Liu J, Liu H. The Use of "Omics" in Lactation Research in Dairy Cows. Int J Mol Sci 2017; 18:ijms18050983. [PMID: 28475129 PMCID: PMC5454896 DOI: 10.3390/ijms18050983] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 04/17/2017] [Accepted: 04/25/2017] [Indexed: 02/07/2023] Open
Abstract
“Omics” is the application of genomics, transcriptomics, proteomics, and metabolomics in biological research. Over the years, tremendous amounts of biological information has been gathered regarding the changes in gene, mRNA and protein expressions as well as metabolites in different physiological conditions and regulations, which has greatly advanced our understanding of the regulation of many physiological and pathophysiological processes. The aim of this review is to comprehensively describe the advances in our knowledge regarding lactation mainly in dairy cows that were obtained from the “omics” studies. The “omics” technologies have continuously been preferred as the technical tools in lactation research aiming to develop new nutritional, genetic, and management strategies to improve milk production and milk quality in dairy cows.
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Affiliation(s)
- Shanshan Li
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Quanjuan Wang
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Xiujuan Lin
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Xiaolu Jin
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Lan Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Caihong Wang
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Qiong Chen
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Jianxin Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Hongyun Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
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Zhang L, Boeren S, van Hooijdonk ACM, Vervoort JM, Hettinga KA. A proteomic perspective on the changes in milk proteins due to high somatic cell count. J Dairy Sci 2015; 98:5339-51. [PMID: 26094216 DOI: 10.3168/jds.2014-9279] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 04/27/2015] [Indexed: 12/21/2022]
Abstract
Although cows with subclinical mastitis have no difference in the appearance of their milk, milk composition and milk quality are altered because of the inflammation. To know the changes in milk quality with different somatic cell count (SCC) levels, 5 pooled bovine milk samples with SCC from 10(5) to 10(6) cells/mL were analyzed qualitatively and quantitatively using both one-dimension sodium dodecyl sulfate PAGE and filter-aided sample preparation coupled with dimethyl labeling, both followed by liquid chromatography tandem mass spectrometry. Minor differences were found on the qualitative level in the proteome from milk with different SCC levels, whereas the concentration of milk proteins showed remarkable changes. Not only immune-related proteins (cathelicidins, IGK protein, CD59 molecule, complement regulatory protein, lactadherin), but also proteins with other biological functions (e.g., lipid metabolism: platelet glycoprotein 4, butyrophilin subfamily 1 member A1, perilipin-2) were significantly different in milk from cows with high SCC level compared with low SCC level. The increased concentration of protease inhibitors in the milk with higher SCC levels may suggest a protective role in the mammary gland against protease activity. Prostaglandin-H2 D-isomerase showed a linear relation with SCC, which was confirmed with an ELISA. However, the correlation coefficient was lower in individual cows compared with bulk milk. These results indicate that prostaglandin-H2 D-isomerase may be used as an indicator to evaluate bulk milk quality and thereby reduce the economic loss in the dairy industry. The results from this study reflect the biological phenomena occurring during subclinical mastitis and in addition provide a potential indicator for the detection of bulk milk with high SCC.
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Affiliation(s)
- L Zhang
- Dairy Science and Technology Group, Wageningen University, 6700EV, Wageningen, the Netherlands
| | - S Boeren
- Laboratory of Biochemistry, Wageningen University, 6700EV, Wageningen, the Netherlands
| | - A C M van Hooijdonk
- Dairy Science and Technology Group, Wageningen University, 6700EV, Wageningen, the Netherlands
| | - J M Vervoort
- Laboratory of Biochemistry, Wageningen University, 6700EV, Wageningen, the Netherlands
| | - K A Hettinga
- Dairy Science and Technology Group, Wageningen University, 6700EV, Wageningen, the Netherlands.
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Zhao XW, Yang YX, Huang DW, Cheng GL, Zhao HL. Comparative proteomic analysis of proteins expression changes in the mammary tissue of cows infected with Escherichia coli mastitis. J Vet Sci 2014; 16:253-63. [PMID: 25549220 PMCID: PMC4588010 DOI: 10.4142/jvs.2015.16.3.253] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 11/05/2014] [Indexed: 12/13/2022] Open
Abstract
Cows infected with Escherichia (E.) coli usually experience severe clinical symptoms, including damage to mammary tissues, reduced milk yield, and altered milk composition. In order to investigate the host response to E. coli infection and discover novel markers for mastitis treatment, mammary tissue samples were collected from healthy cows and bovines with naturally occurring severe E. coli mastitis. Changes of mammary tissue proteins were examined using two-dimensional gel electrophoresis and label-free proteomic approaches. A total of 95 differentially expressed proteins were identified. Of these, 56 proteins were categorized according to molecular function, cellular component, and biological processes. The most frequent biological processes influenced by the proteins were response to stress, transport, and establishment of localization. Furthermore, a network analysis of the proteins with altered expression in mammary tissues demonstrated that these factors are predominantly involved with binding and structural molecule activities. Vimentin and α-enolase were central "functional hubs" in the network. Based on results from the present study, disease-induced alterations of protein expression in mammary glands and potential markers for the effective treatment of E. coli mastitis were identified. These data have also helped elucidate defense mechanisms that protect the mammary glands and promote the pathogenesis of E. coli mastitis.
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Affiliation(s)
- Xiao-wei Zhao
- Institute of Animal Science and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
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Ferreira AM, Bislev SL, Bendixen E, Almeida AM. The mammary gland in domestic ruminants: a systems biology perspective. J Proteomics 2013; 94:110-23. [PMID: 24076120 DOI: 10.1016/j.jprot.2013.09.012] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Revised: 09/04/2013] [Accepted: 09/17/2013] [Indexed: 11/16/2022]
Abstract
UNLABELLED Milk and dairy products are central elements in the human diet. It is estimated that 108kg of milk per year are consumed per person worldwide. Therefore, dairy production represents a relevant fraction of the economies of many countries, being cattle, sheep, goat, water buffalo, and other ruminants the main species used worldwide. An adequate management of dairy farming cannot be achieved without the knowledge on the biological mechanisms behind lactation in ruminants. Thus, understanding the morphology, development and regulation of the mammary gland in health, disease and production is crucial. Presently, innovative and high-throughput technologies such as genomics, transcriptomics, proteomics and metabolomics allow a much broader and detailed knowledge on such issues. Additionally, the application of a systems biology approach to animal science is vastly growing, as new advances in one field of specialization or animal species lead to new lines of research in other areas or/and are expanded to other species. This article addresses how modern research approaches may help us understand long-known issues in mammary development, lactation biology and dairy production. BIOLOGICAL SIGNIFICANCE Dairy production depends upon the knowledge of the morphology and regulation of the mammary gland and lactation. High-throughput technologies allow a much broader and detailed knowledge on the biology of the mammary gland. This paper reviews the major contributions that genomics, transcriptomics, metabolomics and proteomics approaches have provided to understand the regulation of the mammary gland in health, disease and production. In the context of mammary gland "omics"-based research, the integration of results using a Systems Biology Approach is of key importance.
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Affiliation(s)
- Ana M Ferreira
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal; BCV Laboratory, Instituto de Tecnologia Química e Biológica/Universidade Nova de Lisboa (ITQB/UNL), Oeiras, Portugal
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Chiaradia E, Valiani A, Tartaglia M, Scoppetta F, Renzone G, Arena S, Avellini L, Benda S, Gaiti A, Scaloni A. Ovine subclinical mastitis: Proteomic analysis of whey and milk fat globules unveils putative diagnostic biomarkers in milk. J Proteomics 2013; 83:144-59. [DOI: 10.1016/j.jprot.2013.03.017] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Revised: 03/12/2013] [Accepted: 03/19/2013] [Indexed: 12/19/2022]
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Bendixen E, Danielsen M, Hollung K, Gianazza E, Miller I. Farm animal proteomics — A review. J Proteomics 2011; 74:282-93. [DOI: 10.1016/j.jprot.2010.11.005] [Citation(s) in RCA: 108] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2010] [Revised: 11/04/2010] [Accepted: 11/05/2010] [Indexed: 11/28/2022]
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Mastitis detection: current trends and future perspectives. Trends Biotechnol 2009; 27:486-93. [PMID: 19616330 DOI: 10.1016/j.tibtech.2009.05.004] [Citation(s) in RCA: 265] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2009] [Revised: 05/08/2009] [Accepted: 05/18/2009] [Indexed: 01/31/2023]
Abstract
Bovine mastitis, the most significant disease of dairy herds, has huge effects on farm economics due to reduction in milk production and treatment costs. Traditionally, methods of detection have included estimation of somatic cell counts, an indication of inflammation, measurement of biomarkers associated with the onset of the disease (e.g. the enzymes N-acetyl-beta-D-glucosaminidase and lactate dehydrogenase) and identification of the causative microorganisms, which often involves culturing methods. These methods have their limitations and there is a need for new rapid, sensitive and reliable assays. Recently, significant advances in the identification of nucleic acid markers and other novel biomarkers and the development of sensor-based platforms have taken place. These novel strategies have shown promise, and their advantages over the conventional tests are discussed.
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