1
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Hu W, Zhang X, Shen Y, Meng X, Wu Y, Tong P, Li X, Chen H, Gao J. Quantifying allergenic proteins using antibody-based methods or liquid chromatography-mass spectrometry/mass spectrometry: A review about the influence of food matrix, extraction, and sample preparation. Compr Rev Food Sci Food Saf 2024; 23:e70029. [PMID: 39379311 DOI: 10.1111/1541-4337.70029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 08/31/2024] [Accepted: 09/05/2024] [Indexed: 10/10/2024]
Abstract
Accurate quantification of allergens in food is crucial for ensuring consumer safety. Pretreatment steps directly affect accuracy and efficiency of allergen quantification. We systematically reviewed the latest advances in pretreatment steps for antibody-based methods and liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) protein quantification methods in food. For antibody-based methods, the effects induced by food matrix like decreased allergen solubility, epitope masking, and nonspecific binding are of the upmost importance. To mitigate interference from the matrix, effective and proper extraction can be used to obtain the target allergens with a high protein concentration and necessary epitope exposure. Removal of interfering substances, extraction systems (buffers and additives), assistive technologies, and commercial kits were discussed. About LC-MS/MS quantification, the preparation of the target peptides is the crucial step that significantly affects the efficiency and results obtained from the MS detector. The advantages and limitations of each method for pre-purification, enzymatic digestion, and peptide desalting were compared. Additionally, the application characteristics of microfluidic-based pretreatment devices were illustrated to improve the convenience and efficiency of quantification. A promising research direction is the targeted development of pretreatment methods for complex food matrices, such as lipid-based and carbohydrate-based matrices.
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Affiliation(s)
- Wei Hu
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Xing Zhang
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Yunpeng Shen
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Xuanyi Meng
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Yong Wu
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Ping Tong
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
| | - Xin Li
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
| | - Hongbing Chen
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, Jiangxi, P. R. China
| | - Jinyan Gao
- College of Food Science & Technology, Nanchang University, Nanchang, Jiangxi, P. R. China
- Jiangxi Province Key Laboratory of Food Allergy, Nanchang, P. R. China
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2
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Zhang L, Liu T. PreAlgPro: Prediction of allergenic proteins with pre-trained protein language model and efficient neutral network. Int J Biol Macromol 2024; 280:135762. [PMID: 39322150 DOI: 10.1016/j.ijbiomac.2024.135762] [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: 08/05/2024] [Revised: 09/03/2024] [Accepted: 09/16/2024] [Indexed: 09/27/2024]
Abstract
Allergy is a prevalent phenomenon, involving allergens such as nuts and milk. Avoiding exposure to allergens is the most effective preventive measure against allergic reactions. However, current homology-based methods for identifying allergenic proteins encounter challenges when dealing with non-homologous data. Traditional machine learning approaches rely on manually extracted features, which lack important protein functional characteristics, including evolutionary information. Consequently, there is still considerable room for improvement in existing methods. In this study, we present PreAlgPro, a method for identifying allergenic proteins based on pre-trained protein language models and deep learning techniques. Specifically, we employed the ProtT5 model to extract protein embedding features, replacing the manual feature extraction step. Furthermore, we devised an Attention-CNN neural network architecture to identify potential features that contribute to the classification of allergenic proteins. The performance of our model was evaluated on four independent test sets, and the experimental results demonstrate that PreAlgPro surpasses existing state-of-the-art methods. Additionally, we collected allergenic protein samples to validate the robustness of the model and conducted an analysis of model interpretability.
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Affiliation(s)
- Lingrong Zhang
- College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Taigang Liu
- College of Information Technology, Shanghai Ocean University, Shanghai 201306, China.
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3
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Hu W, Xiong Z, Meng X, Wu Y, Tong P, Gao J, Li X, Chen H. Lipid matrix-specific pretreatment method for enhancing the extractability and allergenicity maintenance of bovine milk allergens in ELISA detection. Food Chem 2024; 452:139462. [PMID: 38723563 DOI: 10.1016/j.foodchem.2024.139462] [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: 02/01/2024] [Revised: 04/21/2024] [Accepted: 04/21/2024] [Indexed: 06/01/2024]
Abstract
The presence of various components in the food matrix makes allergen detection difficult and inaccurate, and pretreatment is an innovative breakthrough point. Food matrices were categorised based on their composition. Subsequently, a pretreatment method was established using a combination of ultrasound-assisted n-hexane degreasing and weakly alkaline extraction systems to enhance the detection accuracy of bovine milk allergens. Results showed that more allergens were obtained with less structural destruction, as demonstrated using immunological quantification and spectral analysis. Concurrently, allergenicity preservation was confirmed through liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, a KU812 cell degranulation model, and western blotting. The method exhibited good accuracy (bias, 8.47%), repeatability (RSDr, 1.52%), and stability (RSDR, 5.65%). In foods with high lipid content, such as chocolate, the allergen content was 2.29-fold higher than that of commercial kits. Laser confocal scanning microscopy (LCSM) and scanning electron microscopy (SEM) analyses revealed a significant decrease in fat content after post-pretreatment using our method. In addition, colloidal stability surpassed that achieved using commercial kits, as indicated through the PSA and zeta potential results. The results demonstrated the superiority of the extractability and allergenicity maintenance of lipid matrix-specific pretreatment methods for improving the accuracy of ELISA based allergen detection in real food.
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Affiliation(s)
- Wei Hu
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; School of Food Science and Technology, Nanchang University, Nanchang 330031, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China
| | - Ziyi Xiong
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; School of Food Science and Technology, Nanchang University, Nanchang 330031, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China
| | - Xuanyi Meng
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China; Sino-German Joint Research Institute, Nanchang University, Nanchang 330047, China
| | - Yong Wu
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China; Sino-German Joint Research Institute, Nanchang University, Nanchang 330047, China
| | - Ping Tong
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; School of Food Science and Technology, Nanchang University, Nanchang 330031, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China
| | - Jinyan Gao
- School of Food Science and Technology, Nanchang University, Nanchang 330031, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China
| | - Xin Li
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; School of Food Science and Technology, Nanchang University, Nanchang 330031, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China.
| | - Hongbing Chen
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China; Jiangxi Province Key Laboratory of Food Allergy, Nanchang 330047, China; Sino-German Joint Research Institute, Nanchang University, Nanchang 330047, China
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4
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Lu Y, Zhang H, Gao H, Zhang X, Ji H, Gao C, Chen Y, Xiao J, Li Z. Quantification of Allergic Crustacean Tropomyosin Using Shared Signature Peptides in Processed Foods with a Mass Spectrometry-Based Proteomic Strategy. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:11672-11681. [PMID: 38713521 DOI: 10.1021/acs.jafc.3c09064] [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: 05/09/2024]
Abstract
Crustacean shellfish are major allergens in East Asia. In the present study, a major allergic protein in crustaceans, tropomyosin, was detected accurately using multiple reaction monitoring mode-based mass spectrometry, with shared signature peptides identified through proteomic analysis. The peptides were deliberately screened through thermal stability and enzymatic digestion efficiency to improve the suitability and accuracy of the developed method. Finally, the proposed method demonstrated a linear range of 0.15 to 30 mgTM/kgfood (R2 > 0.99), with a limit of detection of 0.15 mgTM/kg food and a limit of quantification of 0.5mgTM/kgfood and successfully applied to commercially processed foods, such as potato chips, biscuits, surimi, and hot pot seasonings, which evidenced the applicability of proteomics-based methodology for food allergen analysis.
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Affiliation(s)
- Yingjun Lu
- College of Food Science and Technology, Shhezi University, Shihezi City 832003, Xinjiang Uygur Autonomous Region, P. R. China
- College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, P.R. China
| | - Hongwei Zhang
- Technology Center of Qingdao Customs District, 83 Xinye Road, Qingdao, Shandong Province 266114, China
| | - Hongyan Gao
- College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, P.R. China
| | - Xiaomei Zhang
- Technology Center of Qingdao Customs District, 83 Xinye Road, Qingdao, Shandong Province 266114, China
| | - Hua Ji
- College of Food Science and Technology, Shhezi University, Shihezi City 832003, Xinjiang Uygur Autonomous Region, P. R. China
| | - Chunyu Gao
- College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, P.R. China
| | - Yan Chen
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Sciences Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Jing Xiao
- China National Center for Food Safety Risk Assessment, No.2 Building, No.37 Guangqu Road, Chaoyang District, Beijing 100022, PR China
| | - Zhenxing Li
- College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, P.R. China
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5
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Yang S, Chen J, Abdallah MF, Lin H, Yang P, Li J, Zhang R, Li Q, Lu P, Liu S, Li Y. An integrated calibration strategy for the development and validation of an LC-MS/MS method for accurate quantification of egg allergens (Gal d 1-6) in foods. Food Chem 2024; 438:137922. [PMID: 37979263 DOI: 10.1016/j.foodchem.2023.137922] [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: 07/10/2023] [Revised: 10/08/2023] [Accepted: 10/31/2023] [Indexed: 11/20/2023]
Abstract
Accurate determination of egg allergens in food is vital for allergen management and labeling. However, quantifying egg allergens with mass spectrometry poses challenges and lacks validation methods. Here, we developed and validated an LC-MS/MS method for quantifying egg allergens (Gal d 1-6) in foods. Sample extraction, enzymatic digestion, purification, proteins/peptides selection, and calibration curves were optimized. VMVLC[+57]NR (Gal d 1) and GTDVQAWIR (Gal d 5) exhibited outstanding sensitivity and stability, serving as quantitation markers for egg white and yolk. Using a matrix-matched calibration curve with allergen ingredients as calibrants and labeled peptides as standards, we achieved highly accurate quantitation. Validation involved spiking egg protein into egg-free foods, showing excellent sensitivity (LOQ: 1-5 mg/kg), accuracy (62.4 %-88.5 %), and reproducibility (intra-/inter-day precision: 3.5 %-14.2 %/8.2 %-14.6 %). Additionally, we successfully applied this method to commercial food analysis. These findings demonstrate optimal allergen selection, peptides, and calibration strategy are crucial parameters for food allergen quantification via MS-based methods.
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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.
| | - Jingjing Chen
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Mohamed F Abdallah
- Depaerment of Food Technology, Safety and Health, Ghent University, Coupure Links 653, 9000, Ghent, Belgium; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt
| | - 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
| | - Jianxun Li
- 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
| | - 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
| | - Shuyan Liu
- 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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6
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Liu Y, Lin S, Liu K, Wang S, Liu Q, Sun N. Exploration of digestion-resistant immunodominant epitopes in shrimp (Penaeus vannamei) allergens. Food Chem 2024; 438:137920. [PMID: 38000156 DOI: 10.1016/j.foodchem.2023.137920] [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: 09/02/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023]
Abstract
The digestion products of Penaeus vannamei still had sensitizing and eliciting capacity; however, the underlying mechanism has not been identified. This study analyzed the structural changes of shrimp proteins during digestion, predicted the linearmimotopepeptides and first validated the allergenicity of immunodominantepitopes with binding ability. The results showed that the shrimp proteins were gradually degraded into small peptides during digestion, which might lead to the destruction of linear epitopes. However, these peptides carried IgE epitopes that still trigger allergic reactions. Eighteen digestion-resistant epitopes were predicted by multiple immunoinformatics tools and digestomics. Five epitopes contained more critical amino acids and had strong molecular docking (P1: DSGVGIYAPDAEA, P2: EGELKGTYYPLTGM, P3: GRQGDPHGKFDLPPGV, P4: IFAWPHKDNNGIE, P5: KSTESSVTVPDVPSIHD), and these epitopes were identified as novel IgE binding immunodominantepitopes in Penaeus vannamei. These findings provide novel insight into allergenic epitopes, which might serve as key targets for reducing the allergenicity in shrimp.
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Affiliation(s)
- Yao Liu
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China
| | - Songyi Lin
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China; Engineering Research Center of Special Dietary Food, the Education Department of Liaoning Province, Dalian 116034, PR China
| | - Kexin Liu
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China
| | - Shan Wang
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China
| | - Qiaozhen Liu
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China
| | - Na Sun
- SKL of Marine Food Processing & Safety Control, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China; National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, PR China; Engineering Research Center of Food, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, PR China.
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7
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Liu M, Huang J, Ma S, Yu G, Liao A, Pan L, Hou Y. Allergenicity of wheat protein in diet: Mechanisms, modifications and challenges. Food Res Int 2023; 169:112913. [PMID: 37254349 DOI: 10.1016/j.foodres.2023.112913] [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: 11/29/2022] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 06/01/2023]
Abstract
Wheat is widely available in people's daily diets. However, some people are currently experiencing IgE-mediated allergic reactions to wheat-based foods, which seriously impact their quality of life. Thus, it is imperative to provide comprehensive knowledge and effective methods to reduce the risk of wheat allergy (WA) in food. In the present review, recent advances in WA symptoms, the major allergens, detection methods, opportunities and challenges in establishing animal models of WA are summarized and discussed. Furthermore, an updated overview of the different modification methods that are currently being applied to wheat-based foods is provided. This study concludes that future approaches to food allergen detection will focus on combining multiple tools to rapidly and accurately quantify individual allergens in complex food matrices. Besides, biological modification has many advantages over physical or chemical modification methods in the development of hypoallergenic wheat products, such as enzymatic hydrolysis and fermentation. It is worth noting that using biotechnology to edit wheat allergen genes to produce allergen-free food may be a promising method in the future which could improve the safety of wheat foods and the health of allergy sufferers.
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Affiliation(s)
- Ming Liu
- Henan Provincial Key Laboratory of Biological Processing and Nutritional Function of Wheat, College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China; College of Food Science and Engineering, Henan University of Technology, Zhengzhou, 450001, PR China
| | - Jihong Huang
- Henan Provincial Key Laboratory of Biological Processing and Nutritional Function of Wheat, College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China; College of Food Science and Engineering, Henan University of Technology, Zhengzhou, 450001, PR China; State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, Henan University, Kaifeng 475004, PR China; School of Food and Pharmacy, Xuchang University, Xuchang 461000, PR China.
| | - Sen Ma
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou, 450001, PR China.
| | - Guanghai Yu
- Henan Provincial Key Laboratory of Biological Processing and Nutritional Function of Wheat, College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China
| | - Aimei Liao
- Henan Provincial Key Laboratory of Biological Processing and Nutritional Function of Wheat, College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China
| | - Long Pan
- Henan Provincial Key Laboratory of Biological Processing and Nutritional Function of Wheat, College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China
| | - Yinchen Hou
- College of Food and Biological Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou 450044, PR China
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8
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López-Pedrouso M, Lorenzo JM, Alché JDD, Moreira R, Franco D. Advanced Proteomic and Bioinformatic Tools for Predictive Analysis of Allergens in Novel Foods. BIOLOGY 2023; 12:biology12050714. [PMID: 37237526 DOI: 10.3390/biology12050714] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023]
Abstract
In recent years, novel food is becoming an emerging trend increasingly more demanding in developed countries. Food proteins from vegetables (pulses, legumes, cereals), fungi, bacteria and insects are being researched to introduce them in meat alternatives, beverages, baked products and others. One of the most complex challenges for introducing novel foods on the market is to ensure food safety. New alimentary scenarios drive the detection of novel allergens that need to be identified and quantified with the aim of appropriate labelling. Allergenic reactions are mostly caused by proteins of great abundance in foods, most frequently of small molecular mass, glycosylated, water-soluble and with high stability to proteolysis. The most relevant plant and animal food allergens, such as lipid transfer proteins, profilins, seed storage proteins, lactoglobulins, caseins, tropomyosins and parvalbumins from fruits, vegetables, nuts, milk, eggs, shellfish and fish, have been investigated. New methods for massive screening in search of potential allergens must be developed, particularly concerning protein databases and other online tools. Moreover, several bioinformatic tools based on sequence alignment, motif identification or 3-D structure predictions should be implemented as well. Finally, targeted proteomics will become a powerful technology for the quantification of these hazardous proteins. The ultimate objective is to build an effective and resilient surveillance network with this cutting-edge technology.
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Affiliation(s)
- María López-Pedrouso
- Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Santiago de Compostela, 15872 A Coruña, Spain
| | - José M Lorenzo
- Centro Tecnolóxico da Carne de Galicia, Rúa Galicia Nº 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain
| | - Juan de Dios Alché
- Plant Reproductive Biology and Advanced Microscopy Laboratory, Department of Biochemistry, Cell and Molecular Biology of Plants, Estación Experimental del Zaidín, Spanish National Research Council (CSIC), Profesor Albareda 1, 18008 Granada, Spain
| | - Ramón Moreira
- Department of Chemical Engineering, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Daniel Franco
- Department of Chemical Engineering, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
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9
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Geng Q, Zhang Y, Song M, Zhou X, Tang Y, Wu Z, Chen H. Allergenicity of peanut allergens and its dependence on the structure. Compr Rev Food Sci Food Saf 2023; 22:1058-1081. [PMID: 36624611 DOI: 10.1111/1541-4337.13101] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 12/13/2022] [Accepted: 12/18/2022] [Indexed: 01/11/2023]
Abstract
Food allergies are a global food safety problem. Peanut allergies are common due, in part, to their popular utilization in the food industry. Peanut allergy is typically an immunoglobulin E-mediated reaction, and peanuts contain 17 allergens belonging to different families in peanut. In this review, we first introduce the mechanisms and management of peanut allergy, followed by the basic structures of associated allergens. Subsequently, we summarize methods of epitope localization for peanut allergens. These methods can be instrumental in speeding up the discovery of allergenicity-dependent structures. Many attempts have been made to decrease the allergenicity of peanuts. The structures of hypoallergens, which are manufactured during processing, were analyzed to strengthen the desensitization process and allergen immunotherapy. The identification of conformational epitopes is the bottleneck in both peanut and food allergies. Further, the identification and modification of such epitopes will lead to improved strategies for managing and preventing peanut allergy. Combining traditional wet chemistry research with structure simulation studies will help in the epitopes' localization.
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Affiliation(s)
- Qin Geng
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- College of Food Science and Technology, Nanchang University, Nanchang, China
| | - Ying Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- College of Food Science and Technology, Nanchang University, Nanchang, China
| | - Min Song
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- College of Food Science and Technology, Nanchang University, Nanchang, China
| | - Xiaoya Zhou
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- College of Food Science and Technology, Nanchang University, Nanchang, China
| | - Yu Tang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- College of Food Science and Technology, Nanchang University, Nanchang, China
| | - Zhihua Wu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| | - Hongbing Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
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10
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Gregersen Echers S, Abdul-Khalek N, Mikkelsen RK, Holdt SL, Jacobsen C, Hansen EB, Olsen TH, Sejberg JJ, Overgaard MT. Is Gigartina a potential source of food protein and functional peptide-based ingredients? Evaluating an industrial, pilot-scale extract by proteomics and bioinformatics. FUTURE FOODS 2022. [DOI: 10.1016/j.fufo.2022.100189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022] Open
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11
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Afzaal M, Saeed F, Hussain M, Shahid F, Siddeeg A, Al‐Farga A. Proteomics as a promising biomarker in food authentication, quality and safety: A review. Food Sci Nutr 2022; 10:2333-2346. [PMID: 35844910 PMCID: PMC9281926 DOI: 10.1002/fsn3.2842] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 02/07/2022] [Accepted: 03/12/2022] [Indexed: 12/18/2022] Open
Abstract
Adulteration and mislabeling have become a very common global malpractice in food industry. Especially foods of animal origin are prepared from plant sources and intentionally mislabeled. This type of mislabeling is an important concern in food safety as the replaced ingredients may cause a food allergy or toxicity to vulnerable consumers. Moreover, foodborne pathogens also pose a major threat to food safety. There is a dire need to develop strong analytical tools to deal with related issues. In this context, proteomics stands out as a promising tool used to report the aforementioned issues. The development in the field of omics has inimitable advantages in enabling the understanding of various biological fields especially in the discipline of food science. In this review, current applications and the role of proteomics in food authenticity, safety, and quality and food traceability are highlighted comprehensively. Additionally, the other components of proteomics have also been comprehensively described. Furthermore, this review will be helpful in the provision of new intuition into the use of proteomics in food analysis. Moreover, the pathogens in food can also be identified based on differences in their protein profiling. Conclusively, proteomics, an indicator of food properties, its origin, the processes applied to food, and its composition are also the limelight of this article.
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Affiliation(s)
- Muhammad Afzaal
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Farhan Saeed
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Muzzamal Hussain
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Farheen Shahid
- Department of Food ScienceGovernment College University FaisalabadFaisalabadPakistan
| | - Azhari Siddeeg
- Department of Food Engineering and TechnologyFaculty of Engineering and TechnologyUniversity of GeziraWad MedaniSudan
| | - Ammar Al‐Farga
- Department of BiochemistryCollege of SciencesUniversity of JeddahJeddahSaudi Arabia
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12
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Zhang H, Abdallah MF, Zhang J, Yu Y, Zhao Q, Tang C, Qin Y, Zhang J. Comprehensive quantitation of multi-signature peptides originating from casein for the discrimination of milk from eight different animal species using LC-HRMS with stable isotope labeled peptides. Food Chem 2022; 390:133126. [PMID: 35567972 DOI: 10.1016/j.foodchem.2022.133126] [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: 11/08/2021] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 11/04/2022]
Abstract
Milk species adulteration has become an altering issue worldwide. In this study, a robust quantification method based on LC-HRMS for the simultaneous detection and differentiation of milk type from eight different animal species (namely: cow, water buffalo, wild yak, goat, sheep, donkey, horse, and camel) was established by detecting nine signature peptides originating from casein. The developed method was in-house validated in terms of sensitivity, accuracy, and precision. As a result, limits of quantification (LOQ) were ranging from 5 to 30 µg/L, recoveries ranged from 95.2% to 104.5%, and intra-day and inter-day variability were lower than 11.4% and 12.6%, respectively, for all the targeted peptides. Furthermore, this method was successfully applied to 46 commercial minor species' milk, in which 15 samples were false labeling. The obtained results indicate the necessity to monitor milk species adulteration in order to protect consumers from consuming misleading labeled minor species animal's milk.
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Affiliation(s)
- Huiyan Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Mohamed F Abdallah
- Department of Food Technology, Safety and Health, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt
| | - Jingjing Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yanan Yu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Qingyu Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Chaohua Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yuchang Qin
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Junmin Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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13
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A spotlight on analytical prospects in food allergens: From emerging allergens and novel foods to bioplastics and plant-based sustainable food contact materials. Food Chem 2022; 388:132951. [PMID: 35447585 DOI: 10.1016/j.foodchem.2022.132951] [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: 08/02/2021] [Revised: 04/06/2022] [Accepted: 04/09/2022] [Indexed: 11/21/2022]
Abstract
The present review throws a spotlight on new and emerging food safety concerns in view of a well-established food allergen risk arising from global socio-economic changes, international trade, circular economy, environmental sustainability, and upcycling. Food culture globalization needs harmonization of regulations, technical specifications, and reference materials towards mutually recognised results. In parallel, routine laboratories require high-throughput reliable analytical strategies, even in-situ testing devices, to test both food products and food contact surfaces for residual allergens. Finally, the currently neglected safety issues associated to possible allergen exposure due to the newly proposed bio- and plant-based sustainable food contact materials require an in-depth investigation.
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14
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Threshold of Reactivity and Tolerance to Precautionary Allergen-Labelled Biscuits of Baked Milk- and Egg-Allergic Children. Nutrients 2021; 13:nu13124540. [PMID: 34960092 PMCID: PMC8709061 DOI: 10.3390/nu13124540] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 01/20/2023] Open
Abstract
Extremely sensitive food-allergic patients may react to very small amounts of allergenic foods. Precautionary allergen labelling (PAL) warns from possible allergenic contaminations. We evaluated by oral food challenge the reactivity to a brand of PAL-labelled milk- and egg-free biscuits of children with severe milk and egg allergy. We explored the ability of proteomic methods to identify minute amounts of milk/egg allergens in such biscuits. Traces of milk and/or egg allergens in biscuits were measured by two different liquid-chromatography-mass spectrometry methods. The binding of patient’s serum with egg/milk proteins was assessed using immunoblotting. None of the patients reacted to biscuits. Egg and milk proteins were undetectable with a limit of detection of 0.6 µg/g for milk and egg (method A), and of 0.1 and 0.3 µg /g for milk and egg, respectively (method B). The immunoblots did not show milk/egg proteins in the studied biscuits. Milk/egg content of the biscuits is far lower than 4 µg of milk or egg protein per gram of product, the minimal doses considered theoretically capable of causing reactions. With high sensitivity, proteomic assessments predict the harmlessness of very small amount of allergens in foods, and can be used to help avoiding unnecessary PAL.
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15
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Cudrania tricuspidata Combined with Lacticaseibacillus rhamnosus Modulate Gut Microbiota and Alleviate Obesity-Associated Metabolic Parameters in Obese Mice. Microorganisms 2021; 9:microorganisms9091908. [PMID: 34576802 PMCID: PMC8468176 DOI: 10.3390/microorganisms9091908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/26/2021] [Accepted: 09/03/2021] [Indexed: 01/09/2023] Open
Abstract
The aim of the presented study was to investigate the synbiotic effects of L. rhamnosus 4B15 and C. tricuspidata extract administration on the gut microbiota and obesity-associated metabolic parameters in diet-induced obese mice. Thirty-one 6-week-old male C57BL/N6 mice were divided into five diet groups: normal diet (ND, n = 7) group; high-fat diet (HFD, n = 6) group; probiotic (PRO, n = 5) group; prebiotic (PRE, n = 7) group; and synbiotic (SYN, n = 6) group. After 10 weeks, the percent of fat mass, serum triglyceride, and ALT levels were significantly reduced in SYN-fed obese mice, compared with other treatments. SYN treatment also modulated the abundance of Desulfovibrio, Dorea, Adlercreutzia, Allobaculum, Coprococcus, unclassified Clostridiaceae, Lactobacillus, Helicobacter, Flexispira, Odoribacter, Ruminococcus, unclassified Erysipelotrichaceae, and unclassified Desulfovibrionaceae. These taxa showed a strong correlation with obesity-associated indices. Lastly, the SYN-supplemented diet upregulated metabolic pathways known to improve metabolic health. Further investigations are needed to understand the mechanisms driving the synbiotic effect of C. tricuspidata and L. rhamnosus 4B15.
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Bahmani M, O’Lone CE, Juhász A, Nye-Wood M, Dunn H, Edwards IB, Colgrave ML. Application of Mass Spectrometry-Based Proteomics to Barley Research. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:8591-8609. [PMID: 34319719 PMCID: PMC8389776 DOI: 10.1021/acs.jafc.1c01871] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Barley (Hordeum vulgare) is the fourth most cultivated crop in the world in terms of production volume, and it is also the most important raw material of the malting and brewing industries. Barley belongs to the grass (Poaceae) family and plays an important role in food security and food safety for both humans and livestock. With the global population set to reach 9.7 billion by 2050, but with less available and/or suitable land for agriculture, the use of biotechnology tools in breeding programs are of considerable importance in the quest to meet the growing food gap. Proteomics as a member of the "omics" technologies has become popular for the investigation of proteins in cereal crops and particularly barley and its related products such as malt and beer. This technology has been applied to study how proteins in barley respond to adverse environmental conditions including abiotic and/or biotic stresses, how they are impacted during food processing including malting and brewing, and the presence of proteins implicated in celiac disease. Moreover, proteomics can be used in the future to inform breeding programs that aim to enhance the nutritional value and broaden the application of this crop in new food and beverage products. Mass spectrometry analysis is a valuable tool that, along with genomics and transcriptomics, can inform plant breeding strategies that aim to produce superior barley varieties. In this review, recent studies employing both qualitative and quantitative mass spectrometry approaches are explored with a focus on their application in cultivation, manufacturing, processing, quality, and the safety of barley and its related products.
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Affiliation(s)
- Mahya Bahmani
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
| | - Clare E. O’Lone
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
| | - Angéla Juhász
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
| | - Mitchell Nye-Wood
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
| | - Hugh Dunn
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
| | - Ian B. Edwards
- Edstar
Genetics Pty Ltd, SABC - Loneragan Building, Murdoch University, 90 South Street, Murdoch, Western Australia 6150, Australia
| | - Michelle L. Colgrave
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, Edith Cowan University, School of Science, 270 Joondalup
Drive, Joondalup, Western
Australia 6027, Australia
- CSIRO
Agriculture and Food, 306 Carmody Road, St. Lucia, Queensland 4067, Australia
- Phone: +61-7-3214-2697. . Fax: +61-7-3214-2900
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17
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Battisti I, Ebinezer LB, Lomolino G, Masi A, Arrigoni G. Protein profile of commercial soybean milks analyzed by label-free quantitative proteomics. Food Chem 2021; 352:129299. [PMID: 33690076 DOI: 10.1016/j.foodchem.2021.129299] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/22/2020] [Accepted: 02/03/2021] [Indexed: 01/27/2023]
Abstract
The consumption of soy milk is increasing worldwide for its nutritional value and health benefits, however, its protein composition after commercialization is not well known. Technological and thermal treatments to which soy milk is subjected could affect the protein composition of the commercial products. This study compared the protein profile of 15 different commercial soy milks using a label-free quantitative proteomics approach. Proteins related to nutrient reservoir activity, endopeptidase inhibitor activity, lipid binding, and seed maturation contribute the most in terms of percentage mass. Their associated Gene Ontology terms are also enriched. Samples clustered into three groups based on their protein composition, with glycinins and beta-conglycinins being the most influential for determining the clustering. Amino acid composition estimated from the proteomics data also reflects the clustering of samples. Twenty allergenic proteins varying in abundance were identified, with Gly m 5 and Gly m 6 being the predominantly abundant allergens.
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Affiliation(s)
- Ilaria Battisti
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/B, 35131 Padova, Italy; Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, via G. Orus 2/B, 35129 Padova, Italy.
| | - Leonard Barnabas Ebinezer
- Department of Agronomy, Food, Natural Resources, Animals, and Environment, University of Padova, Via dell'Università 16, 35020 Legnaro, Italy.
| | - Giovanna Lomolino
- Department of Agronomy, Food, Natural Resources, Animals, and Environment, University of Padova, Via dell'Università 16, 35020 Legnaro, Italy.
| | - Antonio Masi
- Department of Agronomy, Food, Natural Resources, Animals, and Environment, University of Padova, Via dell'Università 16, 35020 Legnaro, Italy.
| | - Giorgio Arrigoni
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/B, 35131 Padova, Italy; Proteomics Center, University of Padova and Azienda Ospedaliera di Padova, via G. Orus 2/B, 35129 Padova, Italy; CRIBI Biotechnology Center, University of Padova, via U. Bassi 58/B, 35131 Padova, Italy.
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18
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Yang Y, Yang Y, Zhang J, Yao K, Liu J, Shao B. Combination of polyvinylpolypyrrolidone extraction and standard addition strategy for the accurate determination of multiple allergen residues in red wine by UPLC-MS/MS. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1179:122849. [PMID: 34246171 DOI: 10.1016/j.jchromb.2021.122849] [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: 04/17/2021] [Revised: 05/28/2021] [Accepted: 06/26/2021] [Indexed: 01/17/2023]
Abstract
During the winemaking process, fining materials derived from milk and egg products are traditionally used to remove undesirable substances to reduce bitterness and astringency. The possible residues of allergens in treated wine may pose a potential risk for allergy patients. In this study, we developed a method for the simultaneous quantification of eight allergens (αS1-casein, αS2-casein, β-casein, κ-casein, β-lactoglobulin, lysozyme, ovalbumin and ovotransferrin) in red wine by ultrahigh-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS). The sample was extracted with polyvinylpolypyrrolidone (PVPP) solution, following trypsin digestion and peptide-level purification by solid-phase extraction (SPE). A strategy based on standard addition was used for the accurate quantification of the target allergens in wine products. The limits of detection (LODs) were shown to be 0.003-0.015 μg/mL for milk allergens and 0.1 μg/mL for egg allergens. This economical and reliable method would be appropriate for routine analysis and further allergen label management for red wine.
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Affiliation(s)
- Yunjia Yang
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Yi Yang
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Jing Zhang
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Kai Yao
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Jinyuan Liu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Bing Shao
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; Beijing Research Center for Preventive Medicine, Beijing 100013, China; School of Public Health, Capital Medical University, Beijing 100069, China; College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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Identification of significant potential signaling pathways and differentially expressed proteins in patients with wheat intolerance based on quantitative proteomics. J Proteomics 2021; 246:104317. [PMID: 34217887 DOI: 10.1016/j.jprot.2021.104317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/18/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022]
Abstract
Wheat intolerance has various systemic manifestations that can affect people's quality of life, and few studies have focused on the mechanism of wheat intolerance and the signaling pathways involved in wheat intolerance have not been fully identified. We compared the protein profiles of patients with wheat intolerance with those of healthy controls using LASSO (least absolute shrinkage and selection operator) and PLS (partial least squares regression) to obtain DEPs (differentially expressed proteins) for GO (Gene Ontology) analysis, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analysis, and PPI (protein-protein interaction) network analysis. Internal validation and external validation were conducted for target proteomics testing. The correlation between differently expressed protein and the wheat-specific IgG antibody concentration was analyzed. Then ROC curve (receiver operating characteristic curve) was generated to validate the differentially expressed proteins. We identified 33 DEPs as significant candidate proteins of wheat intolerance. These proteins were mainly enriched in complement and coagulation cascade pathways, immune activation, and immune response-related pathways. After internal and external target proteomics validation, CFHR3 (complement factor H-related protein 3) was identified as a key protein that may have an important role in wheat intolerance. We found CFHR3 protein expression abundance and the wheat-specific IgG antibody concentration were significantly negatively correlated (P = 0.035; Spearman correlation coefficient r = -0.565). The AUC (median area under the ROC curve) of CFHR3 is 0.857 in external verification data. This study provides insights into wheat intolerance that can be used to further explore the pathogenesis of this condition. SIGNIFICANCE: Proteomics has performed important potential in food allergy research and is conducive to improving our comprehension on molecular mechanisms of food allergy. The present study identified significant signaling pathways and differentially expressed proteins in patients with wheat intolerance by means of bioinformatics from the viewpoint of mass spectrometry-based proteomics, which provided insights into further research on the pathogenesis and timely diagnosis of wheat intolerance.
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20
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Applied Proteomics in 'One Health'. Proteomes 2021; 9:proteomes9030031. [PMID: 34208880 PMCID: PMC8293331 DOI: 10.3390/proteomes9030031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 12/19/2022] Open
Abstract
‘One Health’ summarises the idea that human health and animal health are interdependent and bound to the health of ecosystems. The purpose of proteomics methodologies and studies is to determine proteins present in samples of interest and to quantify changes in protein expression during pathological conditions. The objectives of this paper are to review the application of proteomics technologies within the One Health concept and to appraise their role in the elucidation of diseases and situations relevant to One Health. The paper develops in three sections. Proteomics Applications in Zoonotic Infections part discusses proteomics applications in zoonotic infections and explores the use of proteomics for studying pathogenetic pathways, transmission dynamics, diagnostic biomarkers and novel vaccines in prion, viral, bacterial, protozoan and metazoan zoonotic infections. Proteomics Applications in Antibiotic Resistance part discusses proteomics applications in mechanisms of resistance development and discovery of novel treatments for antibiotic resistance. Proteomics Applications in Food Safety part discusses the detection of allergens, exposure of adulteration, identification of pathogens and toxins, study of product traits and characterisation of proteins in food safety. Sensitive analysis of proteins, including low-abundant ones in complex biological samples, will be achieved in the future, thus enabling implementation of targeted proteomics in clinical settings, shedding light on biomarker research and promoting the One Health concept.
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21
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Jorrin Novo JV. Proteomics and plant biology: contributions to date and a look towards the next decade. Expert Rev Proteomics 2021; 18:93-103. [PMID: 33770454 DOI: 10.1080/14789450.2021.1910028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
INTRODUCTION This review presents the view of the author, that is opinionable and even speculative, on the field of proteomics, its application to plant biology knowledge, and translation to biotechnology. Written in a more academic than scientific style, it is based on past original and review articles by the author´s group, and those published by leading scientists in the last two years. AREAS COVERED Starting with a general definition and references to historical milestones, it covers sections devoted to the different platforms employed, the plant biology discourse in the protein language, challenges and future prospects, ending with the author opinion. EXPERT OPINION In 25 years, five proteomics platform generations have appeared. We are now moving from proteomics to Systems Biology. While feasible with model organisms, proteomics of orphan species remains challenging. Proteomics, even in its simplest approach, sheds light on plant biological processes, central dogma, and molecular bases of phenotypes of interest, and it can be translated to areas such as food traceability and allergen detection. Proteomics should be validated and optimized to each experimental system, objectives, and hypothesis. It has limitations, artifacts, and biases. We should not blindly accept proteomics data and just create a list of proteins, networks, and avoid speculative biological interpretations. From the hundred to thousand proteins identified and quantified, it is important to obtain a focus and validate some of them, otherwise it is merely. We are starting to have the protein pieces, so let, from now, build the proteomics and biological puzzle.
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Affiliation(s)
- J V Jorrin Novo
- Dpt. Biochemistry and Molecular Biology, Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, ETSIAM, University of Cordoba, Cordoba , Spain
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23
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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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24
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Fu L, Qian Y, Zhou J, Zheng L, Wang Y. Fluorescence-based quantitative platform for ultrasensitive food allergen detection: From immunoassays to DNA sensors. Compr Rev Food Sci Food Saf 2020; 19:3343-3364. [PMID: 33337031 DOI: 10.1111/1541-4337.12641] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/12/2020] [Accepted: 09/01/2020] [Indexed: 01/10/2023]
Abstract
Food allergies are global health issue with an increasing prevalence that affect food safety; hence, food allergen detection, labeling, and management are considered to be important priorities in the food industry. In this critical review, we provide a comprehensive overview of several fluorescence-based platforms based on different biorecognition ligands, such as antibodies, DNA, aptamers, and cells, for food allergen quantification. Traditional analytical methods are generally unsuitable for food manufacturers to accomplish the real-time identification of food allergens in food products. Therefore, it is important to develop simple, rapid, inexpensive, accurate, and sensitive methods to improve user accessibility. A fluorescence-based quantitative platform provides an excellent detection platform for food allergens because of its high sensitivity. This review summarizes the traditional antibody-based fluorescent techniques for food allergen detection, such as the time-resolved fluoroimmunoassay , immunofluorescence imaging, fluorescence enzyme-linked immune sorbent assay, flow injection fluoroimmunoassay, and fluorescence immunosensors. However, these methods suffer from disadvantages such as the significant rate of false-positive and false-negative results due to antibody cross-reactivity with nontarget food components in the complex food matrix and epitope degradation during food processing. Hence, different types of fluorescence-based immunoassays are suitable for standardization and quantification of allergens in fresh foods. In addition, we summarize new fluorescence-based quantitative platforms, including fluorescence genosensors, fluorescence cell sensors, and fluorescence aptamer sensors. With the advantages of high sensitivity and simple operation, fluorescence biosensors will have great potential in the future and could provide portable methods for multiallergen real-time detection in complex food systems.
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Affiliation(s)
- Linglin Fu
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People's Republic of China
| | - Yifan Qian
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People's Republic of China
| | - Jinru Zhou
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People's Republic of China
| | - Lei Zheng
- School of Food Science and Engineering, Hefei University of Technology, Hefei, People's Republic of China
| | - Yanbo Wang
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People's Republic of China
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Monaci L, De Angelis E, Guagnano R, Ganci AP, Garaguso I, Fiocchi A, Pilolli R. Validation of a MS Based Proteomics Method for Milk and Egg Quantification in Cookies at the Lowest VITAL Levels: An Alternative to the Use of Precautionary Labeling. Foods 2020; 9:foods9101489. [PMID: 33086516 PMCID: PMC7603226 DOI: 10.3390/foods9101489] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 10/06/2020] [Accepted: 10/12/2020] [Indexed: 01/05/2023] Open
Abstract
The prevalence of food allergy has increased over the last decades and consequently the food labeling policies have improved over the time in different countries to regulate allergen presence in foods. In particular, Reg 1169 in EU mandates the labelling of 14 allergens whenever intentionally added to foods, but the inadvertent contamination by allergens still remains an uncovered topic. In order to warn consumers on the risk of cross-contamination occurring in certain categories of foods, a precautionary allergen labelling system has been put in place by food industries on a voluntary basis. In order to reduce the overuse of precautionary allergen labelling (PAL), reference doses and action limits have been proposed by the Voluntary Incidental Trace Allergen Labelling VITAL project representing a guide in this jeopardizing scenario. Development of sensitive and reliable mass spectrometry methods are therefore of paramount importance in this regard to check the contamination levels in foods. In this paper we describe the development of a time-managed multiple reaction monitoring (MRM) method based on a triple quadrupole platform for milk and egg quantification in processed food. The method was in house validated and allowed to achieve levels of proteins lower than 0.2 mg of total milk and egg proteins, respectively, in cookies, challenging the doses recommended by VITAL. The method was finally applied to cookies labeled as milk and egg-free. This method could represent, in perspective, a promising tool to be implemented along the food chain to detect even tiny amounts of allergens contaminating food commodities.
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Affiliation(s)
- Linda Monaci
- Institute of Sciences of Food Production, CNR-ISPA, 70126 Bari, Italy; (E.D.A.); (R.G.); (R.P.)
- Correspondence:
| | - Elisabetta De Angelis
- Institute of Sciences of Food Production, CNR-ISPA, 70126 Bari, Italy; (E.D.A.); (R.G.); (R.P.)
| | - Rocco Guagnano
- Institute of Sciences of Food Production, CNR-ISPA, 70126 Bari, Italy; (E.D.A.); (R.G.); (R.P.)
| | - Aristide P. Ganci
- PerkinElmer Italia S.p.A., Viale dell’Innovazione 3, 20126 Milano, Italy;
| | - Ignazio Garaguso
- PerkinElmer LAS Germany GmbH, Ferdinand-Porsche-Ring 17, 63110 Rodgau, Germany;
| | - Alessandro Fiocchi
- Allergy Division, Bambino Gesù Children’s Hospital, Istituti di Ricovero e Cura a Carattere Scientifico, 00165 Rome, Italy;
| | - Rosa Pilolli
- Institute of Sciences of Food Production, CNR-ISPA, 70126 Bari, Italy; (E.D.A.); (R.G.); (R.P.)
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Stryiński R, Łopieńska-Biernat E, Carrera M. Proteomic Insights into the Biology of the Most Important Foodborne Parasites in Europe. Foods 2020; 9:E1403. [PMID: 33022912 PMCID: PMC7601233 DOI: 10.3390/foods9101403] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/24/2020] [Accepted: 09/27/2020] [Indexed: 02/07/2023] Open
Abstract
Foodborne parasitoses compared with bacterial and viral-caused diseases seem to be neglected, and their unrecognition is a serious issue. Parasitic diseases transmitted by food are currently becoming more common. Constantly changing eating habits, new culinary trends, and easier access to food make foodborne parasites' transmission effortless, and the increase in the diagnosis of foodborne parasitic diseases in noted worldwide. This work presents the applications of numerous proteomic methods into the studies on foodborne parasites and their possible use in targeted diagnostics. Potential directions for the future are also provided.
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Affiliation(s)
- Robert Stryiński
- Department of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Elżbieta Łopieńska-Biernat
- Department of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Mónica Carrera
- Department of Food Technology, Marine Research Institute (IIM), Spanish National Research Council (CSIC), 36-208 Vigo, Spain
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Liu S, Li Z, Yu B, Wang S, Shen Y, Cong H. Recent advances on protein separation and purification methods. Adv Colloid Interface Sci 2020; 284:102254. [PMID: 32942182 DOI: 10.1016/j.cis.2020.102254] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 09/01/2020] [Accepted: 09/01/2020] [Indexed: 12/21/2022]
Abstract
Protein, as the material basis of vita, is the crucial undertaker of life activities, which constitutes the framework and main substance of human tissues and organs, and takes part in various forms of life activities in organisms. Separating proteins from biomaterials and studying their structures and functions are of great significance for understanding the law of life activities and clarifying the essence of life phenomena. Therefore, scientists have proposed the new concept of proteomics, in which protein separation technology plays a momentous role. It has been diffusely used in the food industry, agricultural biological research, drug development, disease mechanism, plant stress mechanism, and marine environment research. In this paper, combined with the recent research situation, the progress of protein separation technology was reviewed from the aspects of extraction, precipitation, membrane separation, chromatography, electrophoresis, molecular imprinting, microfluidic chip and so on.
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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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29
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Natural Variation of Hazelnut Allergenicity: Is There Any Potential for Selecting Hypoallergenic Varieties? Nutrients 2020; 12:nu12072100. [PMID: 32708541 PMCID: PMC7400875 DOI: 10.3390/nu12072100] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 12/15/2022] Open
Abstract
Hazelnuts (Corylus avellana L.) have an important role in human nutrition and health. However, they are a common cause of food allergy. Due to hazelnut varietal diversity, variety-dependent differences in the IgE-binding properties may be suspected, which could allow therapeutic strategies based on the use of hypoallergenic varieties to induce desensitization. In a proteogenomic approach, we aimed to evaluate the allergenic potential of a genetically diverse set of hazelnuts (n = 13 varieties). Minor differences were found at the level of genes encoding important allergens, namely Cor a 8, Cor a 9, and Cor a 14. Nevertheless, IgE-reactivity was similar for all varieties using sera from seven allergic individuals. The predominant IgE-reactive proteins were Cor a 9 (100%) and Cor a 1.04 (60%), with the former being the most frequently identified by a two-dimensional gel electrophoresis (2-DE)-based proteomic approach. Therefore, it seems that the conventional exclusion diet will hold its ground for the time being.
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Zhai C, Djimsa BA, Prenni JE, Woerner DR, Belk KE, Nair MN. Tandem mass tag labeling to characterize muscle-specific proteome changes in beef during early postmortem period. J Proteomics 2020; 222:103794. [DOI: 10.1016/j.jprot.2020.103794] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 04/15/2020] [Accepted: 04/20/2020] [Indexed: 02/06/2023]
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Creydt M, Fischer M. Food authentication in real life: How to link nontargeted approaches with routine analytics? Electrophoresis 2020; 41:1665-1679. [PMID: 32249434 DOI: 10.1002/elps.202000030] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 12/20/2022]
Abstract
In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding high-resolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.
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Affiliation(s)
- Marina Creydt
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
| | - Markus Fischer
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
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