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Yang S, Lin H, Yang P, Meng J, Abdallah MF, Shencheng Y, Li R, Li J, Liu S, Li Q, Lu P, Zhang R, Li Y. Advancing High-Throughput MS-Based Protein Quantification: A Case Study on Quantifying 10 Major Food Allergens by LC-MS/MS Using a One-Sample Multipoint External Calibration Curve. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6625-6637. [PMID: 38494953 DOI: 10.1021/acs.jafc.3c08362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The LC-MS-based method has emerged as the preferred approach for quantifying food allergens. However, the preparation of a traditional calibration curve (MSCC) is labor-intensive and error-prone. Here, a sensitive and robust LC-MS/MS method for quantifying 10 major food allergens was developed and validated, where the one-sample multipoint external calibration curve (OSCC) was employed instead of MSCC. By employing the multiple isotopologue reaction monitoring (MIRM) technique with only one spiked level in the blank, OSCC can be effectively established. Results demonstrate that the proposed method exhibits excellent performance in selectivity, sensitivity, accuracy, and precision, comparable to that of the traditional MSCC. Additionally, this strategy allows for isotope sample dilution by monitoring the less abundant MIRM channel. Moreover, the developed method was successfully applied to investigate the contamination of 10 food allergens in commercial food products. With its high throughput and robustness, the MIRM-OSCC-LC-MS/MS methodology has many potential applications, especially in the MS-based protein quantification analysis.
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Affiliation(s)
- Shupeng Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Haopeng Lin
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peijie Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Junhong Meng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Mohamed F Abdallah
- Department of Food Technology, Safety and Health, Ghent University, Coupure Links 653, Ghent 9000, Belgium
- Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt
| | - Yingnan Shencheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Ruohan Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Jianxun Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Shuyan Liu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Qianqian Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peng Lu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Rong Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yi Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
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Häfner L, Brockmeyer J, Haase I, Kranz B, Jira W. Identification of Cross-Species Marker Peptides for the Detection of Mammalian and Poultry Meat in Vegan and Vegetarian Foods. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:12597-12608. [PMID: 37561394 DOI: 10.1021/acs.jafc.3c01100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Authentication of vegan and vegetarian foods is important since these increasingly popular food items could be adulterated with cheap meat to increase profit margins. In this study, nine marker peptides for the detection of meat (several species) were identified applying liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These marker peptides enable the crucial differentiation of beef versus milk and chicken meat versus egg, demonstrated by the investigation of 19 commercial vegetarian meat substitutes containing milk and egg. Extensive experimental testing proved the presence of the cross-species meat marker peptides in 19 food-relevant types of mammals and poultry as well as their absence in more than 136 plant-based ingredients for the production of vegan and vegetarian foods. An authentic vegan sausage matrix based on an actual retail product was produced and spiked with 5.0%, w/w meat to confirm the high signal intensities and the heat stability of the marker peptides.
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Affiliation(s)
- Lukas Häfner
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Jens Brockmeyer
- Department of Food Chemistry, Institute for Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 5B, Stuttgart 70569, Germany
| | - Ilka Haase
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Bertolt Kranz
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Wolfgang Jira
- Department of Safety and Quality of Meat, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
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3
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Gut Microbiome Proteomics in Food Allergies. Int J Mol Sci 2023; 24:ijms24032234. [PMID: 36768555 PMCID: PMC9917015 DOI: 10.3390/ijms24032234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
Food allergies (FA) have dramatically increased in recent years, particularly in developed countries. It is currently well-established that food tolerance requires the strict maintenance of a specific microbial consortium in the gastrointestinal (GI) tract microbiome as alterations in the gut microbiota can lead to dysbiosis, causing inflammation and pathogenic intestinal conditions that result in the development of FA. Although there is currently not enough knowledge to fully understand how the interactions between gut microbiota, host responses and the environment cause food allergies, recent advances in '-omics' technologies (i.e., proteomics, genomics, metabolomics) and in approaches involving systems biology suggest future headways that would finally allow the scientific understanding of the relationship between gut microbiome and FA. This review summarizes the current knowledge in the field of FA and insights into the future advances that will be achieved by applying proteomic techniques to study the GI tract microbiome in the field of FA and their medical treatment. Metaproteomics, a proteomics experimental approach of great interest in the study of GI tract microbiota, aims to analyze and identify all the proteins in complex environmental microbial communities; with shotgun proteomics, which uses liquid chromatography (LC) for separation and tandem mass spectrometry (MS/MS) for analysis, as it is the most promising technique in this field.
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Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects. FUTURE INTERNET 2022. [DOI: 10.3390/fi14110302] [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
The present information age is characterized by an ever-increasing digitalization. Smart devices quantify our entire lives. These collected data provide the foundation for data-driven services called smart services. They are able to adapt to a given context and thus tailor their functionalities to the user’s needs. It is therefore not surprising that their main resource, namely data, is nowadays a valuable commodity that can also be traded. However, this trend does not only have positive sides, as the gathered data reveal a lot of information about various data subjects. To prevent uncontrolled insights into private or confidential matters, data protection laws restrict the processing of sensitive data. One key factor in this regard is user-friendly privacy mechanisms. In this paper, we therefore assess current state-of-the-art privacy mechanisms. To this end, we initially identify forms of data processing applied by smart services. We then discuss privacy mechanisms suited for these use cases. Our findings reveal that current state-of-the-art privacy mechanisms provide good protection in principle, but there is no compelling one-size-fits-all privacy approach. This leads to further questions regarding the practicality of these mechanisms, which we present in the form of seven thought-provoking propositions.
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Rodríguez-Herrera J, Cabado AG, Bodelón G, Cunha SC, Pinto V, Fernandes JO, Lago J, Muñoz S, Pastoriza-Santos I, Sousa P, Gonçalves L, López-Cabo M, Pérez-Juste J, Santos J, Minas G. Methodological Approaches for Monitoring Five Major Food Safety Hazards Affecting Food Production in the Galicia-Northern Portugal Euroregion. Foods 2021; 11:84. [PMID: 35010210 PMCID: PMC8750003 DOI: 10.3390/foods11010084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/14/2021] [Accepted: 12/21/2021] [Indexed: 11/16/2022] Open
Abstract
The agri-food industry has historically determined the socioeconomic characteristics of Galicia and Northern Portugal, and it was recently identified as an area for collaboration in the Euroregion. In particular, there is a need for action to help to ensure the provision of safe and healthy foods by taking advantage of key enabling technologies. The goals of the FOODSENS project are aligned with this major objective, specifically with the development of biosensors able to monitor hazards relevant to the safety of food produced in the Euroregion. The present review addresses the state of the art of analytical methodologies and techniques-whether commercially available or in various stages of development-for monitoring food hazards, such as harmful algal blooms, mycotoxins, Listeria monocytogenes, allergens, and polycyclic aromatic hydrocarbons. We discuss the pros and cons of these methodologies and techniques and address lines of research for point-of-care detection. Accordingly, the development of miniaturized automated monitoring strategies is considered a priority in terms of health and economic interest, with a significant impact in several areas, such as food safety, water quality, pollution control, and public health. Finally, we present potential market opportunities that could result from the availability of rapid and reliable commercial methodologies.
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Affiliation(s)
- Juan Rodríguez-Herrera
- Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Científicas (IIM-CSIC), 36208 Vigo, Spain; (S.M.); (M.L.-C.)
| | - Ana G. Cabado
- ANFACO-CECOPESCA, Ctra. Colexio Universitario, 16, 36310 Vigo, Spain; (A.G.C.); (J.L.)
| | - Gustavo Bodelón
- CINBIO, Campus Universitario As Lagoas, Universidade de Vigo, 36310 Vigo, Spain; (G.B.); (I.P.-S.); (J.P.-J.)
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36310 Vigo, Spain
| | - Sara C. Cunha
- LAQV-REQUIMTE, Laboratory of Bromatology and Hidrology, Department of Chemical Sciences, Facultaty of Pharmacy, University of Porto, Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal; (S.C.C.); (J.O.F.); (J.S.)
| | - Vânia Pinto
- Center for MicroElectromechanical Systems (CMEMS-UMinho), University of Minho, 4800-058 Guimarães, Portugal; (V.P.); (P.S.); (L.G.); (G.M.)
| | - José O. Fernandes
- LAQV-REQUIMTE, Laboratory of Bromatology and Hidrology, Department of Chemical Sciences, Facultaty of Pharmacy, University of Porto, Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal; (S.C.C.); (J.O.F.); (J.S.)
| | - Jorge Lago
- ANFACO-CECOPESCA, Ctra. Colexio Universitario, 16, 36310 Vigo, Spain; (A.G.C.); (J.L.)
| | - Silvia Muñoz
- Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Científicas (IIM-CSIC), 36208 Vigo, Spain; (S.M.); (M.L.-C.)
| | - Isabel Pastoriza-Santos
- CINBIO, Campus Universitario As Lagoas, Universidade de Vigo, 36310 Vigo, Spain; (G.B.); (I.P.-S.); (J.P.-J.)
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36310 Vigo, Spain
| | - Paulo Sousa
- Center for MicroElectromechanical Systems (CMEMS-UMinho), University of Minho, 4800-058 Guimarães, Portugal; (V.P.); (P.S.); (L.G.); (G.M.)
| | - Luís Gonçalves
- Center for MicroElectromechanical Systems (CMEMS-UMinho), University of Minho, 4800-058 Guimarães, Portugal; (V.P.); (P.S.); (L.G.); (G.M.)
| | - Marta López-Cabo
- Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Científicas (IIM-CSIC), 36208 Vigo, Spain; (S.M.); (M.L.-C.)
| | - Jorge Pérez-Juste
- CINBIO, Campus Universitario As Lagoas, Universidade de Vigo, 36310 Vigo, Spain; (G.B.); (I.P.-S.); (J.P.-J.)
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36310 Vigo, Spain
| | - João Santos
- LAQV-REQUIMTE, Laboratory of Bromatology and Hidrology, Department of Chemical Sciences, Facultaty of Pharmacy, University of Porto, Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal; (S.C.C.); (J.O.F.); (J.S.)
| | - Graça Minas
- Center for MicroElectromechanical Systems (CMEMS-UMinho), University of Minho, 4800-058 Guimarães, Portugal; (V.P.); (P.S.); (L.G.); (G.M.)
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Wang Y, Zhou J, Peng H, Ma J, Li H, Li L, Li T, Fang Z, Ma A, Fu L. High-Throughput Identification of Allergens in a Food System via Hybridization Probe Cluster-Targeted Next-Generation Sequencing. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:11992-12001. [PMID: 34498855 DOI: 10.1021/acs.jafc.1c03595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Food allergies (FAs) are a crucial public health problem and a severe food safety issue, resulting in an urgent need for an accurate method to detect all of the hidden allergens that exist in food systems. Current methods for detecting allergens typically utilize ELISA, PCR, or LC-MS, which are suitable for the confirmatory analysis of allergens from ingredients rather than unintended contaminants. In this study, we demonstrate a hybridization probe cluster-targeted next-generation sequencing (HPC-NGS) platform for high-throughput screening of potential allergens in food systems. The HPC-NGS successfully captured target DNA fragments and identified 19 allergenic ingredients in a complex food system. Additionally, the HPC-NGS provided expected allergenic species matching rates of 94.24-100% in single food materials and 99.87-99.98% in processed food products. Thus, HPC-NGS enables the accurate characterization of allergenic ingredients and unintended allergenic contaminants in foods. Our results provide new perspectives on the use of HPC-NGS in the accuracy of high-throughput detection technologies for allergens imposed by the complex matrix effect.
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Affiliation(s)
- Yanbo Wang
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, 18 Xue Zheng Street, Hangzhou 310018, Zhejiang, P. R. China
| | - Jinru Zhou
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, 18 Xue Zheng Street, Hangzhou 310018, Zhejiang, P. R. China
| | - Hai Peng
- Institute for Systems Biology, Jianghan University, Wuhan 430056, Hubei, P. R. China
| | - Junjie Ma
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, 18 Xue Zheng Street, Hangzhou 310018, Zhejiang, P. R. China
| | - Huan Li
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, 18 Xue Zheng Street, Hangzhou 310018, Zhejiang, P. R. China
| | - Lun Li
- Institute for Systems Biology, Jianghan University, Wuhan 430056, Hubei, P. R. China
| | - Tiantian Li
- Institute for Systems Biology, Jianghan University, Wuhan 430056, Hubei, P. R. China
| | - Zhiwei Fang
- Institute for Systems Biology, Jianghan University, Wuhan 430056, Hubei, P. R. China
| | - Aijin Ma
- College of Food and Health, Beijing Technology and Business University, Beijing 100048, P. R. China
| | - Linglin Fu
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, 18 Xue Zheng Street, Hangzhou 310018, Zhejiang, P. R. China
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7
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Tsai W, Yin H, Lin Y, Liu H, Tseng C, Wen H. A rapid lateral flow assay using immunomagnetic nanoparticles for detecting mango allergen residues in processed foods. J Food Saf 2021. [DOI: 10.1111/jfs.12929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Wen‐Che Tsai
- Department of Food Science and Biotechnology National Chung Hsing University Taichung Taiwan
| | - Hsin‐Yi Yin
- Department of Food Science and Biotechnology National Chung Hsing University Taichung Taiwan
- Food and Animal Product Safety Inspection Center National Chung Hsing University Taichung Taiwan
| | - Ya‐Ting Lin
- Department of Food Science and Biotechnology National Chung Hsing University Taichung Taiwan
| | - Hung‐Jen Liu
- Institute of Molecular Biology National Chung Hsing University Taichung Taiwan
- The iEGG and Animal Biotechnology Center National Chung Hsing University Taichung Taiwan
- Rong Hsing Research Center for Translational Medicine National Chung Hsing University Taichung Taiwan
- PhD Program in Translational Medicine National Chung Hsing University Taichung Taiwan
| | - Cheng‐Yen Tseng
- Department of Applied Chemistry Chaoyang University of Technology Taichung Taiwan
| | - Hsiao‐Wei Wen
- Department of Food Science and Biotechnology National Chung Hsing University Taichung Taiwan
- Food and Animal Product Safety Inspection Center National Chung Hsing University Taichung Taiwan
- Graduate Institute of Food Safety National Chung Hsing University Taichung Taiwan
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8
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Xing X, Yao L, Yan C, Xu Z, Xu J, Liu G, Yao B, Chen W. Recent progress of personal glucose meters integrated methods in food safety hazards detection. Crit Rev Food Sci Nutr 2021; 62:7413-7426. [PMID: 34047213 DOI: 10.1080/10408398.2021.1913990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Development of personal glucose meters (PGMs) for blood glucose monitoring and management by the diabetic patients has been a long history since its first invention in 1968 and commercial application in 1975. The main reasons for its wide acceptance and popularity can be attributed mainly to the easy operation, test-to-result model, low cost, and small volume of sample required for blood glucose concentration test. During past decades, advances in analytical techniques have repurposed the use of PGMs into a general point-of-care testing platform for a variety of non-glucose targets, especially the food hazards. In this review, we summarized the recent published research using PGMs to detect the food safety hazards of mycotoxins, illegal additives, pathogen bacteria, and pesticide and veterinary drug residues detection with PGMs. The progress on PGM-based detection achieved in food safety have been carefully compared and analyzed. Furthermore, the current bottlenecks and challenges for practical applications of PGM for hazards detection in food safety have also been proposed.
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Affiliation(s)
- Xiuguang Xing
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Li Yao
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Chao Yan
- Research Center for Biomedical and Health Science, School of Life and Health, Anhui Science & Technology University, Fengyang, China.,Anhui Province Institute of Product Quality Supervision & Inspection, Hefei, China
| | - Zhenlin Xu
- Guangdong Provincial Key Lab of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Jianguo Xu
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Guodong Liu
- Research Center for Biomedical and Health Science, School of Life and Health, Anhui Science & Technology University, Fengyang, China
| | - Bangben Yao
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei, China.,Anhui Province Institute of Product Quality Supervision & Inspection, Hefei, China
| | - Wei Chen
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
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Passanisi S, Lombardo F, Crisafulli G, Salzano G, Aversa T, Pajno GB. Novel diagnostic techniques and therapeutic strategies for IgE-mediated food allergy. Allergy Asthma Proc 2021; 42:124-130. [PMID: 33685556 PMCID: PMC8133008 DOI: 10.2500/aap.2021.42.200129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Background: Immunoglobulin E (IgE) mediated food allergy is a potentially life-threatening condition and represents a heavy burden for patients and their families. Identification of the most suitable way for management of each patient has currently become the primary goal for physicians. Methods: This study reviewed the current literature related to IgE-mediated food allergy. Results: The use of innovative diagnostic tools, such as allergen-specific IgG4 determination, basophil activation test, and component-resolved diagnostics, is currently available to facilitate a proper diagnosis of food allergy. After several decades of "passive clinical management" of the disease, which was based only on avoidance of the allergenic food and the use of epinephrine in the event of anaphylaxis, there has been a switch to active treatment. The most recent evidence-practice guidelines strongly recommend the use of immunotherapy as an effective therapeutic option, particularly in cases of allergy to cow's milk, egg, or peanut. The use of omalizumab, in association with immunotherapy or alone, has been tested in several studies, and results on its effectiveness seemed to be encouraging. Other biologics, such as dupilumab, reslizumab, mepolizumab, and other anticytokines therapies, are being investigated. Another interesting future treatment strategy could be the use of DNA vaccines. Conclusion: In recent years, the management of IgE-mediated food allergy has greatly improved. Knowledge of pathogenetic mechanisms, understanding of the disease course, and the introduction of novel biomarkers led to more accurate diagnoses along with the active treatment of patients.
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Pilolli R, Van Poucke C, De Angelis E, Nitride C, de Loose M, Gillard N, Huet AC, Tranquet O, Larré C, Adel-Patient K, Bernard H, Mills ENC, Monaci L. Discovery based high resolution MS/MS analysis for selection of allergen markers in chocolate and broth powder matrices. Food Chem 2020; 343:128533. [PMID: 33183874 DOI: 10.1016/j.foodchem.2020.128533] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/19/2020] [Accepted: 10/29/2020] [Indexed: 12/12/2022]
Abstract
Peptide marker identification is an important step in development of a mass spectrometry method for multiple allergen detection, since specificity, robustness and sensitivity of the overall analytical method will depend on the reliability of the proteotypic peptides. As part of the development of a multi-analyte reference method, discovery analysis of two incurred food matrices has been undertaken to select the most reliable peptide markers. Six allergenic ingredients (milk, egg, peanut, soybean, hazelnut, and almond) were incurred into either chocolate or broth powder matrix. Different conditions of protein extraction and purification were tested and the tryptic peptide pools were analysed by untargeted high resolution tandem mass spectrometry and the resulting fragmentation spectra were processed via a commercial software for sequence identification. The analysis performed on incurred foods provides both a prototype effective and straightforward sample preparation protocol and delivers reliable peptides to be included in a standardized selected reaction monitoring method.
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Affiliation(s)
- Rosa Pilolli
- Institute of Sciences of Food Production, CNR-ISPA, Bari, Italy
| | - Christof Van Poucke
- Flanders Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | | | - Chiara Nitride
- School of Biological Sciences, Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, The University of Manchester, UK
| | - Marc de Loose
- Flanders Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | | | | | | | | | - Karine Adel-Patient
- INRA-CEA, Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Immuno-Allergie Alimentaire, Gif-sur-Yvette, France
| | - Hervé Bernard
- INRA-CEA, Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Immuno-Allergie Alimentaire, Gif-sur-Yvette, France
| | - E N Clare Mills
- School of Biological Sciences, Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, The University of Manchester, UK
| | - Linda Monaci
- Institute of Sciences of Food Production, CNR-ISPA, Bari, Italy.
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Sena-Torralba A, Pallás-Tamarit Y, Morais S, Maquieira Á. Recent advances and challenges in food-borne allergen detection. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116050] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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12
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Current Trends in Proteomic Advances for Food Allergen Analysis. BIOLOGY 2020; 9:biology9090247. [PMID: 32854310 PMCID: PMC7563520 DOI: 10.3390/biology9090247] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/19/2020] [Accepted: 08/22/2020] [Indexed: 12/13/2022]
Abstract
Food allergies are a global food challenge. For correct food labelling, the detection and quantification of allergens are necessary. However, novel product formulations and industrial processes produce new scenarios, which require much more technological developments. For this purpose, OMICS technologies, especially proteomics, seemed to be relevant in this context. This review summarises the current knowledge and studies that used proteomics to study food allergens. In the case of the allergenic proteins, a wide variety of isoforms, post-translational modifications and other structural changes during food processing can increase or decrease the allergenicity. Most of the plant-based food allergens are proteins with biological functions involved in storage, structure, and plant defence. The allergenicity of these proteins could be increased by the presence of heavy metals, air pollution, and pesticides. Targeted proteomics like selected/multiple reaction monitoring (SRM/MRM) have been very useful, especially in the case of gluten from wheat, rye and barley, and allergens from lentil, soy, and fruit. Conventional 1D and 2-DE immunoblotting have been further widely used. For animal-based food allergens, the widely used technologies are 1D and 2-DE immunoblotting followed by MALDI-TOF/TOF, and more recently LC-MS/MS, which is becoming useful to assess egg, fish, or milk allergens. The detection and quantification of allergenic proteins using mass spectrometry-based proteomics are promising and would contribute to greater accuracy, therefore improving consumer information.
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Tsagkaris A, Nelis J, Ross G, Jafari S, Guercetti J, Kopper K, Zhao Y, Rafferty K, Salvador J, Migliorelli D, Salentijn G, Campbell K, Marco M, Elliot C, Nielen M, Pulkrabova J, Hajslova J. Critical assessment of recent trends related to screening and confirmatory analytical methods for selected food contaminants and allergens. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.115688] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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14
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Abstract
PURPOSE OF REVIEW To familiarize the reader with the concept of precision medicine in food allergy by dealing with the current biomarkers for the diagnosis, prognosis, and management of the disease. RECENT FINDINGS Many efforts have been devoted in order to characterize reliable biomarkers able to identify specific phenotypes and endotypes in food allergy. Specific IgE (sIgE), sIgE/total IgE ratios, and T cell assays are just a few candidates that have been investigated over time. With the advent of omics sciences, a new era is commencing. A better understanding of pathogenesis of food allergy and mechanisms of action of the different therapeutic options will allow the accurate selection of the appropriate patient. In the near future, advances in technologies and data interpretation will allow a better understanding of the pathogenesis of food allergy and the identification of proper biomarkers for a personalized treatment tailored on the specific patient's profile.
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Affiliation(s)
- Antonella Muraro
- Department of Woman and Child Health, Referral Centre for Food Allergy Diagnosis and Treatment Veneto Region, University of Padua, Via Giustiniani 3, 35128, Padua, Italy.
| | - Stefania Arasi
- Allergy Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza Sant'Onofrio 4, 00165, Rome, Italy
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