Is mealworm or shrimp allergy indicative for food allergy to insects?

SCOPE: The growing world population is a key driver for the exploration of sustainable protein sources to ensure food security. Mealworm and other insects are promising candidates. Previously we found that shrimp allergic patients are at risk for mealworm allergy, and that mealworm can induce a primary allergy . This study set out to investigate the allergenic potential of edible insects, suggested for human consumption by agencies such as WHO/FAO, in both the shrimp (potentially cross-reactive) and primary mealworm allergic population. The following insects were studied: mealworm, house cricket, giant mealworm, lesser mealworm, African grasshopper, large wax moth, and black soldier fly. METHODS AND RESULTS: Fifteen shrimp (mealworm sensitized or allergic) patients and four primary mealworm allergic subjects, who participated in previous studies, were included. All shrimp allergic patients were sensitized to multiple insects with similar response profiles for all insects tested. Primary mealworm allergic patients, showed IgE binding to proteins from only a few insects on immunoblot, although basophil activation test was positive for all tested insects. CONCLUSION: Shrimp allergic patients are most likely at risk of food allergy to mealworm and other insects. Primary mealworm allergy does not mean subjects are likely to react to all insects.

Ara h 2 is the best predictor for peanut allergy in adults.

BACKGROUND: Specific IgE (sIgE) to Ara h 2 as a clinical predictor for peanut allergy in children has a diagnostic value comparable with a prediction model that contains sex, skin prick test (SPT), sIgE to peanut extract, and total IgE minus sIgE. In adults, the diagnostic value of peanut components has not yet been studied. OBJECTIVE: To validate a pediatric prediction model in an adult population; to define the diagnostic value of sIgE to peanut components. METHODS: Validation was performed by discrimination with an area under the receiver operating characteristic curve (AUC) and calibration with the Hosmer-Lemeshow test. The diagnostic value of the peanut components was assessed with the AUC. RESULTS: Validation of the pediatric model in 94 adults showed poor discrimination (AUC, 0.64) but good calibration (P = .48); sIgE to Ara h 2 was the best diagnostic predictor (AUC, 0.76). By using a cutoff value with a 100% positive predictive value (≥1.75 kU/L), 28% of patients could be diagnosed with 100% accuracy. The highest negative predictive value was 63%. A higher negative predictive value could not be calculated for any other test. Although sIgE to Ara h 2 was significantly correlated with severity, it did not discriminate between mild and severe allergy in individual patients (AUC < 0.65). CONCLUSION: sIgE to Ara h 2 has the best discriminative ability of all diagnostic tests. It can accurately diagnose peanut allergy in 28% of patients but cannot be used to exclude a peanut allergy in an adult population.