Identification of novel antibody-reactive detection sites for comprehensive gluten monitoring
نویسندگان
چکیده
Certain cereals like wheat, rye or barley contain gluten, a protein mixture that can trigger celiac disease (CD). To make gluten-free diets available for affected individuals the gluten content of foodstuff must be monitored. For this purpose, antibody-based assays exist which rely on the recognition of certain linear gluten sequence motifs. Yet, not all CD-active gluten constituents and fragments formed during food processing/fermentation may be covered by those tests. In this study, we therefore assayed the coverage of reportedly CD-active gluten components by currently available detection antibodies and determined the antibody-inducing capacity of wheat gluten constituents in order to provide novel diagnostic targets for comprehensive gluten quantitation. Immunizations of outbred mice with purified gliadins and glutenins were conducted and the linear target recognition profile of the sera was recorded using synthetic peptide arrays that covered the sequence space of gluten constituents present in those preparations. The resulting murine immunorecognition profile of gluten demonstrated that further linear binding sites beyond those recognized by the monoclonal antibodies α20, R5 and G12 exist and may be exploitable as diagnostic targets. We conclude that the safety of foodstuffs for CD patients can be further improved by complementing current tests with antibodies directed against additional CD-active gluten components. Currently unrepresented linear gluten detection sites in glutenins and α-gliadins suggest sequences QQQYPS, PQQSFP, QPGQGQQG and QQPPFS as novel targets for antibody generation.
منابع مشابه
Toward the Assessment of Food Toxicity for Celiac Patients: Characterization of Monoclonal Antibodies to a Main Immunogenic Gluten Peptide
BACKGROUND AND AIMS Celiac disease is a permanent intolerance to gluten prolamins from wheat, barley, rye and, in some patients, oats. Partially digested gluten peptides produced in the digestive tract cause inflammation of the small intestine. High throughput, immune-based assays using monoclonal antibodies specific for these immunotoxic peptides would facilitate their detection in food and en...
متن کاملDouble Sandwich ELISA Modified Method for the Detection of Clostridium Botulinum Type E
Background & Objective: A very small amount of botulinum toxin can cause death and on the other hand, there is no cure for its poison other than antitoxin. Therefore, a diagnostic method that can detect very small amounts of botulinum toxin in a short time is very important. In this study, rapid and accurate detection of botulinum toxin type E has been performed with the double sandwich ELISA m...
متن کاملA Fast Voltage Collapse Detection and Prevention Based on Wide Area Monitoring and Control
Voltage stability is one of the most important factors in maintaining reliable operation of power systems. When a disturbance occurs in the power system, it usually causes instabilities and sometimes leads to voltage collapse (VC). To avoid such problems, a novel approach called Vector Analysis (VA) is proposed that exploits a new instability detection index to provide wide area voltage stabili...
متن کاملDevelopment of a Differential PCR Assay for Detection of Brucella abortus and Brucella melitensis: an Analytical Approach for Monitoring of Brucella spp. in Foods of Animal Origin
Background: Classical bacteriological detection of Brucella species from food, and environment is routinely carried out based on morphological and biochemical characteristics. However, for increasing specificity and sensitivity of species identification methods, development of a molecular assay is necessary that was main aim of this study. Methods: Panel of some reference strains belonging to ...
متن کاملSIDF: A Novel Framework for Accurate Surgical Instrument Detection in Laparoscopic Video Frames
Background and Objectives: Identification of surgical instruments in laparoscopic video images has several biomedical applications. While several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. This paper introduces a Surgical Instrument Detection Framework (SIDF) for a...
متن کامل