Search

Alternative sources of edible proteins are required to feed the world's growing population, such as Moringa oleifera leaves, a protein source with a balanced amino acid composition. Since Moringa leaf proteins is a novel food in the EU and UK, an assessment of their potential allergenicity of is required. Proteins from Moringa leaf powder were characterised using traditional proteomic approaches. The proteins identified were evaluated for their allergenic potential using in-silico tools. The main proteins identified belonged to photosynthetic and metabolic pathways. In-silico analysis of the leaf proteome identified moritides as potential allergens by homology with a latex allergen implicated in fruit-latex syndrome. This analysis also identified a nsLTP, a major panallergen in food. The presence of these putative allergens was confirmed by de-novo sequencing. Our study allowed identification of putative allergens, Morintides and nsLTP. Further in-vitro and in-vivo investigations are required to confirm their allergenic potential. Proteins from Moringa leaf powder were characterised using traditional proteomic approaches. The proteins identified were evaluated for their allergenic potential using in-silico tools. The main proteins identified belonged to photosynthetic and metabolic pathways. In-silico analysis of the leaf proteome identified moritides as potential allergens by homology with a latex allergen implicated in fruit-latex syndrome. This analysis also identified a nsLTP, a major panallergen in food. The presence of these putative allergens was confirmed by de-novo sequencing. Our study allowed identification of putative allergens, Morintides and nsLTP. Further in-vitro and in-vivo investigations are required to confirm their allergenic potential.

Peptide marker identification is one of the most important steps in the development of a mass spectrometry (MS) based method for allergen detection, since the robustness and sensitivity of the overall analytical method will strictly depend on the reliability of the proteotypic peptides tracing for each allergen. The European legislation in place issues the mandatory labelling of fourteen allergenic ingredients whenever used in different food formulations. Among these, six allergenic ingredients, namely milk, egg, peanut, soybean, hazelnut and almond, can be prioritized in light of their higher occurrence in food recalls for undeclared presence with serious risk decision. In this work, we described the results of a comprehensive evaluation of the current literature on MS-based allergen detection aiming at collecting all available information about proteins and peptide markers validated in independent studies for the six allergenic ingredients of interest. The main features of the targeted proteins were commented reviewing all details available about known isoforms and sequence homology particularly in plant-derived allergens. Several critical aspects affecting peptide markers reliability were discussed and according to this evaluation a final short-list of candidate markers was compiled likely to be standardized and implemented in MS methods for allergen analysis.

International audience; Risk-based approaches to managing allergens in foods are being developed by the food industry and regulatory authorities to support food-allergic consumers to avoid ingestion of their problem food, especially in relation to the traces of unintended allergens. The application of such approaches requires access to good quality data from clinical studies to support identification of levels of allergens in foods that are generally safe for most food-allergic consumers as well as analytical tools that are able to quantify allergenic food protein. The ThRAll project aims to support the application of risk-based approaches to food-allergen management in two ways. First, a harmonized quantitative MS-based prototype reference method will be developed for the detection of multiple food allergens in standardized incurred food matrices. This will be undertaken for cow’s milk, hen’s egg, peanut, soybean, hazelnut, and almond incurred into two highly processed food matrices, chocolate and broth powder. This activity is complemented by a second objective to support the development and curation of data on oral food challenges, which are used to define thresholds and minimum eliciting doses. This will be achieved through the development of common protocols for collection and curation of data that will be applied to allergenic foods for which there are currently data gaps.

SPECIAL GUEST EDITOR SECTION: FOOD ALLERGENS ORGANIZATIONS AND PROJECTS Guest edited as a special report on “A Global Reflection on Food Allergen Regulations, Management, and Analysis” by Carmen Diaz-Amigo and Bert Popping; International audience; Allergen analysis is central to implementing and monitoring food allergen risk assessment and management processes by the food industry, but current methods for the determination of allergens in foods give highly variable results. The European Union-funded "Integrated Approaches to Food Allergen and Allergy Risk Management" (iFAAM) project has been working to address gaps in knowledge regarding food allergen management and analysis, including the development of novel MS and immuno-based allergen determination methods. Common allergenic food ingredients (peanut, hazelnut, walnut, cow's milk [Bos domesticus], and hen's egg [Gallus domesticus]) and common food matrixes (chocolate dessert and cookie) have been used for both clinical studies and analytical method development to ensure that the new methods are clinically relevant. Allergen molecules have been used as analytical targets and allergenic ingredients incurred into matrixes at levels close to reference doses that may trigger the use of precautionary allergen labeling. An interlaboratory method comparison has been undertaken for the determination of peanut in chocolate dessert using MS and immuno-based methods. The iFAAM approach has highlighted the need for methods to report test results in allergenic protein. This will allow food business operators to use them in risk assessments that are founded on clinical study data in which protein has been used as a measure of allergenic potency.