1
|
Córdova-Dávalos LE, Cervantes-García D, Ballona-Alba MF, Santos-López A, Esquivel-Basaldúa AS, Gallegos-Alcalá P, Jiménez M, Salinas E. Protective Effect of Glycomacropeptide on the Inflammatory Response of U937 Macrophages. Foods 2023; 12:foods12071528. [PMID: 37048349 PMCID: PMC10094090 DOI: 10.3390/foods12071528] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
Macrophages play crucial roles in inflammation and oxidative stress associated with noncommunicable diseases, such as cardiovascular diseases, diabetes, and cancer. Glycomacropeptide (GMP) is a bioactive peptide derived from milk κ-casein that contains abundant sialic acid and has shown anti-inflammatory, antioxidative, anti-obesity, and anti-diabetic properties when is orally administered. The aim of this study was to evaluate the effect of GMP on the regulation of the inflammatory response in human macrophages and the participation of sialic acid in this activity. GMP pretreatment decreased by 35%, 35%, and 49% the production of nitrites, interleukin (IL)-1β, and tumor necrosis factor (TNF)-α, respectively, in activated human macrophages U937. The same effect was obtained when cells were pretreated with asialo GMP, and no change on the gene expression of the lectins associated with the recognition of sialic acids, SIGLEC5, 7, and 9, was induced by GMP on macrophages, which suggests that sialic acid might not be involved in this immunoregulatory effect. Interestingly, GMP increased 8.9- and 3.5-fold the gene expression of the canonical anti-inflammatory protein SOCS3 and the antioxidant enzyme HMOX1, respectively, in U937 cells. Thus, GMP exerts anti-inflammatory and antioxidative activities on activated macrophages in a sialic acid-independent manner, which might be related to its in vivo reported bioactivity.
Collapse
Affiliation(s)
- Laura Elena Córdova-Dávalos
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Daniel Cervantes-García
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
- National Council of Science and Technology, Av. de los Insurgentes Sur 1582, Crédito Constructor, Benito Juárez, Ciudad de México 03940, Mexico
| | - Maria Fernanda Ballona-Alba
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Alejandra Santos-López
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Alma Saraí Esquivel-Basaldúa
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Pamela Gallegos-Alcalá
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Mariela Jiménez
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| | - Eva Salinas
- Laboratory of Immunology, Department of Microbiology, Center of Basic Science, Universidad Autónoma de Aguascalientes, Av. Universidad # 940, Aguascalientes 20100, Mexico
| |
Collapse
|
2
|
A stable isotope and chemometric framework to distinguish fresh milk from reconstituted milk powder and detect potential extraneous nitrogen additives. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
3
|
Immunological Analytical Techniques for Cosmetics Quality Control and Process Monitoring. Processes (Basel) 2021. [DOI: 10.3390/pr9111982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Cosmetics analysis represents a rapidly expanding field of analytical chemistry as new cosmetic formulations are increasingly in demand on the market and the ingredients required for their production are constantly evolving. Each country applies strict legislation regarding substances in the final product that must be prohibited or regulated. To verify the compliance of cosmetics with current regulations, official analytical methods are available to reveal and quantitatively determine the analytes of interest. However, since ingredients, and the lists of regulated/prohibited substances, rapidly change, dedicated analytical methods must be developed ad hoc to fulfill the new requirements. Research focuses on finding innovative techniques that allow a rapid, inexpensive, and sensitive detection of the target analytes in cosmetics. Among the different methods proposed, immunological techniques are gaining interest, as they make it possible to carry out low-cost analyses on raw materials and finished products in a relatively short time. Indeed, immunoassays are based on the specific and selective antibody/antigen reaction, and they have been extensively applied for clinical diagnostic, alimentary quality control and environmental security purposes, and even for routine analysis. Since the complexity and variability of the matrices, as well as the great variety of compounds present in cosmetics, are analogous with those from food sources, immunological methods could also be applied successfully in this field. Indeed, this would provide a valid approach for the monitoring of industrial production chains even in developing countries, which are currently the greatest producers of cosmetics and the major exporters of raw materials. This review aims to highlight the immunological techniques proposed for cosmetics analysis, focusing on the detection of prohibited/regulated compounds, bacteria and toxins, and allergenic substances, and the identification of counterfeits.
Collapse
|
4
|
Angelopoulou M, Petrou PS, Raptis I, Misiakos K, Livaniou E, Makarona E, Kakabakos S. Rapid detection of mozzarella and feta cheese adulteration with cow milk through a silicon photonic immunosensor. Analyst 2020; 146:529-537. [PMID: 33179631 DOI: 10.1039/d0an01706j] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Mozzarella di Bufala Campana and Feta are two cheeses with Protected Designation of Origin the fraudulent adulteration of which with bovine milk must be routinely checked to ensure that consumers actually buy these high-end products and avoid health issues related to bovine milk allergy. Here, we employed, for the first time, a silicon-based photonic immunosensor for the detection of mozzarella and feta adulteration with bovine milk. The photonic immunosensor used relies on Mach-Zehnder interferometers monolithically integrated along with their respective light sources on a silicon chip. A rabbit polyclonal antiserum raised against bovine κ-casein was used for the development of a competitive immunoassay realized in three steps, including a reaction with the antiserum, a biotinylated anti-rabbit IgG antibody, and streptavidin. The implementation of this assay configuration significantly reduced the non-specific signal due to the cheese matrix, and allowed completion of the assay in ∼9 min. After optimization of all assay conditions, bovine cheese could be quantified in mozzarella or feta at concentrations as low as 0.5 and 0.25% (w/w), respectively; both quantification limits were below the maximum allowable content of bovine milk in mozzarella and feta (1% w/w) according to the EU regulations. Equally important, the assays were reproducible with intra- and inter-assay coefficients of variation <10%, and exhibited a wide linear dynamic range that extended up to 50 and 25% (w/w) for mozzarella and feta, respectively. Taking into account its performance, the proposed immunosensor may be transformed to a new tool against fraudulent activities in the dairy industry.
Collapse
Affiliation(s)
- Michailia Angelopoulou
- Immunoassays-Immunosensors Lab, Institute of Nuclear &Radiological Sciences & Technology, Energy & Safety, NCSR "Demokritos", Aghia Paraskevi 15341, Greece.
| | | | | | | | | | | | | |
Collapse
|
5
|
Sharma N, Sharma R, Rajput YS, Mann B, Gandhi K. Distinction between glycomacropeptide and β-lactoglobulin with 'stains all' dye on tricine SDS-PAGE gels. Food Chem 2020; 340:127923. [PMID: 32889212 DOI: 10.1016/j.foodchem.2020.127923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 07/06/2020] [Accepted: 08/22/2020] [Indexed: 10/23/2022]
Abstract
Identification of glycomacropeptide (GMP) and β-lactoglobulin (β-lg) present in cheese whey is difficult on SDS-PAGE due to their close proximity during electrophoresis and poor sensitivity of commonly used staining dye 'coomassie brilliant blue' (CBB) towards GMP. A simple method has been developed for the detection of GMP and β-lg by staining acrylamide gel after tricine SDS-PAGE using cationic 'stains all' dye. After staining and destaining major whey proteins, viz. ɑ-lactalbumin (ɑ-la) and β-lg appear red while GMP stains blue. The method can be used for the identification of these macromolecules in cheese whey and the detection of adulteration of milk with rennet whey.
Collapse
Affiliation(s)
- Neelima Sharma
- Dairy Chemistry Division, ICAR-National Dairy Research Institute, Karnal 132001, India
| | - Rajan Sharma
- Dairy Chemistry Division, ICAR-National Dairy Research Institute, Karnal 132001, India.
| | - Yudhishthir S Rajput
- Animal Biochemistry Division, ICAR-National Dairy Research Institute, Karnal 132001, India
| | - Bimlesh Mann
- Dairy Chemistry Division, ICAR-National Dairy Research Institute, Karnal 132001, India
| | - Kamal Gandhi
- Dairy Chemistry Division, ICAR-National Dairy Research Institute, Karnal 132001, India
| |
Collapse
|
6
|
Di Pinto A, Terio V, Marchetti P, Bottaro M, Mottola A, Bozzo G, Bonerba E, Ceci E, Tantillo G. DNA-based approach for species identification of goat-milk products. Food Chem 2017; 229:93-97. [DOI: 10.1016/j.foodchem.2017.02.067] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 11/15/2016] [Accepted: 02/14/2017] [Indexed: 11/27/2022]
|
7
|
Poonia A, Jha A, Sharma R, Singh HB, Rai AK, Sharma N. Detection of adulteration in milk: A review. INT J DAIRY TECHNOL 2016. [DOI: 10.1111/1471-0307.12274] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Amrita Poonia
- Centre of Food Science and Technology; Banaras Hindu University; Varanasi 221 005 India
| | - Alok Jha
- Centre of Food Science and Technology; Banaras Hindu University; Varanasi 221 005 India
| | - Rajan Sharma
- Division of Dairy Chemistry; National Dairy Research Institute; Karnal 132 001 India
| | | | - Ashwini Kumar Rai
- Department of Botany; Banaras Hindu University; Varanasi 221 005 India
| | - Nitya Sharma
- Department of Farm Engineering; Banaras Hindu University; Varanasi 221 005 India
| |
Collapse
|
8
|
Alves da Rocha R, Paiva IM, Anjos V, Furtado MAM, Bell MJV. Quantification of whey in fluid milk using confocal Raman microscopy and artificial neural network. J Dairy Sci 2015; 98:3559-67. [PMID: 25828656 DOI: 10.3168/jds.2014-8548] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
In this work, we assessed the use of confocal Raman microscopy and artificial neural network as a practical method to assess and quantify adulteration of fluid milk by addition of whey. Milk samples with added whey (from 0 to 100%) were prepared, simulating different levels of fraudulent adulteration. All analyses were carried out by direct inspection at the light microscope after depositing drops from each sample on a microscope slide and drying them at room temperature. No pre- or posttreatment (e.g., sample preparation or spectral correction) was required in the analyses. Quantitative determination of adulteration was performed through a feed-forward artificial neural network (ANN). Different ANN configurations were evaluated based on their coefficient of determination (R2) and root mean square error values, which were criteria for selecting the best predictor model. In the selected model, we observed that data from both training and validation subsets presented R2>99.99%, indicating that the combination of confocal Raman microscopy and ANN is a rapid, simple, and efficient method to quantify milk adulteration by whey. Because sample preparation and postprocessing of spectra were not required, the method has potential applications in health surveillance and food quality monitoring.
Collapse
Affiliation(s)
- Roney Alves da Rocha
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, 36036-900, Brazil.
| | - Igor Moura Paiva
- Departamento de Ciências Farmacêuticas, Faculdade de Farmácia, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, 36036-900, Brazil
| | - Virgílio Anjos
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, 36036-900, Brazil
| | - Marco Antônio Moreira Furtado
- Departamento de Ciências Farmacêuticas, Faculdade de Farmácia, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, 36036-900, Brazil
| | - Maria José Valenzuela Bell
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, 36036-900, Brazil.
| |
Collapse
|
9
|
Targeted and Untargeted Detection of Skim Milk Powder Adulteration by Near-Infrared Spectroscopy. FOOD ANAL METHOD 2015. [DOI: 10.1007/s12161-015-0100-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
10
|
Singh P, Gandhi N. Milk Preservatives and Adulterants: Processing, Regulatory and Safety Issues. FOOD REVIEWS INTERNATIONAL 2015. [DOI: 10.1080/87559129.2014.994818] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
|
11
|
Neelima, Sharma R, Rajput YS, Mann B. Chemical and functional properties of glycomacropeptide (GMP) and its role in the detection of cheese whey adulteration in milk: a review. ACTA ACUST UNITED AC 2013; 93:21-43. [PMID: 23396893 PMCID: PMC3567326 DOI: 10.1007/s13594-012-0095-0] [Citation(s) in RCA: 90] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Revised: 10/31/2012] [Accepted: 11/05/2012] [Indexed: 11/16/2022]
Abstract
Glycomacropeptide (GMP) is a C-terminal part (f 106–169) of kappa-casein which is released in whey during cheese making by the action of chymosin. GMP being a biologically active component has gained much attention in the past decade. It also has unique chemical and functional properties. Many of the biological properties have been ascribed to the carbohydrate moieties attached to the peptide. The unique set of amino acids in GMP makes it a sought-after ingredient with nutraceutical properties. Besides its biological activity, GMP has several interesting techno-functional properties such as wide pH range solubility, emulsifying properties as well as foaming abilities which are shown to be promising for applications in food and nutrition industry. These properties of GMP have given new dimension for the profitable utilization of cheese whey to the dairy industry. A number of protocols for isolation of GMP from cheese whey have been reported. Moreover, its role in detection of sweet/rennet whey adulteration in milk and milk products has also attracted attention of various researchers, and many GMP-specific analytical methods have been proposed. This review discusses the chemico-functional properties of GMP and its role in the detection methods for checking cheese or sweet whey adulteration in milk. Recent concepts used in the isolation of GMP from cheese whey have also been discussed.
Collapse
Affiliation(s)
- Neelima
- Dairy Chemistry Division, National Dairy Research Institute, Karnal, 132001 India
| | | | | | | |
Collapse
|
12
|
Jiménez M, Chávez NA, Salinas E. Pretreatment with glycomacropeptide reduces allergen sensitization, alleviates immediate cutaneous hypersensitivity and protects from anaphylaxis. Clin Exp Immunol 2012; 170:18-27. [PMID: 22943197 DOI: 10.1111/j.1365-2249.2012.04631.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Allergic disorders are characterized by the involvement of allergen-specific immunoglobulin (Ig)E antibodies and T helper type 2 (Th2) cells. The search for new therapies for allergic diseases has been the primary focus of interest for many investigators in recent years. Glycomacropeptide (GMP) is a biologically active component of milk that exhibits a range of immunomodulatory functions. We examined whether oral administration of GMP could affect the development of allergic sensitization and the severity of immediate cutaneous hypersensitivity reactions and of anaphylaxis. Rats treated with or without GMP were ovalbumin (OVA)-sensitized and several indicators of allergy were evaluated. Pretreatment with GMP resulted in reduction of antigen-specific IgE titre in rats when sensitized with OVA. GMP administration also markedly suppressed the proliferative response of splenocytes to antigen and the production of interleukin (IL)-13 by splenocytes of sensitized animals. In addition, GMP pretreatment attenuated the intensity of the immediate cutaneous reaction induced by antigen and protected the sensitized rats from severe anaphylaxis. These data demonstrate, for the first time, that the administration of GMP prevents allergen sensitization and reduces the severity of the early-phase reaction induced by antigen in cutaneous hypersensitivity and in anaphylaxis. GMP may be used as a novel prophylactic agent for the control of allergic diseases.
Collapse
Affiliation(s)
- M Jiménez
- Department of Microbiology, Basic Science Center, Autonomous University of Aguascalientes, Aguascalientes, Mexico
| | | | | |
Collapse
|
13
|
Direct estimation of sialic acid in milk and milk products by fluorimetry and its application in detection of sweet whey adulteration in milk. J DAIRY RES 2012; 79:495-501. [DOI: 10.1017/s0022029912000441] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Sialic acid, being a biologically active compound, is recognised as an important component of milk and milk products. Almost all the sialic acid estimation protocols in milk require prior hydrolysis step to release the bound sialic acid followed by its estimation. The objective of this work was to estimate sialic acid in milk and milk products by fluorimetric assay which does not require a prior hydrolysis step thus decreasing the estimation time. The recovery of added sialic acid in milk was 91·6 to 95·8%. Sialic acid in milk was found to be dependent on cattle breed and was in the range of 1·68–3·93 g/kg (dry matter basis). The assay was further extended to detect adulteration of milk with sweet whey which is based on the detection of glycomacropeptide (GMP) bound sialic acid in adulterated milk. GMP is the C-terminal part of κ-casein which is released into the whey during cheese making. For detection of adulteration, selective precipitation of GMP was done using trichloroacetic acid (TCA). TCA concentration in milk was first raised to 5% to precipitate milk proteins, especially κ-casein, followed by raising the TCA concentration to 14% to precipitate out GMP. In the precipitates GMP bound sialic acid was estimated using fluorimetric method and the fluorescence intensity was found to be directly proportional to the level of sweet whey in adulterated milk samples. The method was found to detect the presence of 5% sweet whey in milk.
Collapse
|
14
|
A highly sensitive sandwich ELISA for the determination of glycomacropeptide to detect liquid whey in raw milk. ACTA ACUST UNITED AC 2012; 92:121-132. [PMID: 22662290 PMCID: PMC3362802 DOI: 10.1007/s13594-011-0052-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2011] [Revised: 09/23/2011] [Accepted: 10/25/2011] [Indexed: 11/28/2022]
Abstract
Milk processing industries and distributors have problems with adulteration of liquid milk by the addition of bovine cheese whey. Recently, the detection of fraudulent manipulation of milk with whey has focused on the identification of glycomacropeptide (GMP). Current non-immunological methods to detect GMP in dairy products are expensive and time-consuming or have low sensitivity. In this study, a novel sandwich enzyme-linked immunosorbent assay (ELISA) for the detection and quantification of whey in raw milk was developed, using a polyclonal rabbit anti-GMP antibody. Calibration curves were constructed by analyzing raw milk standards containing different known concentrations of liquid cheese whey (0.02–20%). The method had a detection limit of 0.047% (v/v) and a quantification limit of 0.14% (v/v). The antibody showed high specificity and no cross-reaction with milk components (other than κ-casein) and was successful in detecting GMP in dairy commercial products. The recovery ratio was between 95.62% and 113.88% for all matrices tested. The intra-assay and interassay coefficients of variation were <6% and <7%, respectively. Finally, it can be stored for 3 months in the form of a ready-to-use kit, while maintaining its accuracy and reproducibility.
Collapse
|
15
|
Simplex and duplex PCR assays for species specific identification of cattle and buffalo milk and cheese. Food Control 2011. [DOI: 10.1016/j.foodcont.2010.09.026] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|