Assessment of Co-Sensitization between Pollen and Food Allergen Sources among Bengali Population, West Bengal, India.

INTRODUCTION: Secondary food allergies due to cross-reactivity between pollen and food allergens are a significant health burden in India. Prevalence of cross-reactivity varies by region, and particularly in West Bengal, it remains unexplored. The present study investigated sensitivities of pollen-related food allergy (PFA) patients of West Bengal by empirically determining co-sensitization patterns. METHODS: The present study retrospectively analysed 1,310 pollen-allergic (PA) patients from the Allergy and Asthma Research Centre, West Bengal. A questionnaire survey was performed to record patients' demographic and clinical features and categorized into seasonal and perennial ones. All patients were subjected to the skin prick test and specific IgE for evaluation of sensitivity against 16 pollen and 16 food allergens. Co-relation and principal component analysis (PCA) was performed to determine co-sensitivity. RESULTS: Seasonal allergic patients were comparatively higher than perennial ones. PFA patients were mostly sensitive to eggplant (n = 387), while Azadirachta indica (n = 341) was predominant sensitizer among pollen allergen sources. Cynodon dactylon showed maximum significant positive correlation with banana, orange, peanut, pineapple, cucumber, eggplant, potato, tomato, and wheat. In the seasonal group, Cynodon dactylon-specific IgE in PFA patients (median = 4.60 kU/L) was significantly higher from that of PA ones (median = 3.44 kU/L). Among 32 allergens tested, 27 were placed in first two dimensions of the PCA biplot. CONCLUSION: The present study established that co-sensitivity between pollen and food allergen sources were predominant in allergic patients of West Bengal. The co-sensitization patterns among unrelated allergen sources may be due to possible expression of biologic cross-reactivity to similar allergens.

Assessment of egg and milk allergies among Indians by revalidating a food allergy predictive model.

Background: The recent upsurge in food allergy indicates the need for accurate medical diagnostics. The application of predictive diagnostic models can envisage the outcome of oral food challenge (OFC), reducing cost and time. A logistic regression model was developed by DunnGalvin for children predicting OFC outcome using six predictors viz: sex, age, history, specific IgE, total IgE minus specific IgE, and skin prick test. This model was later updated by Klemans, reducing the number of predictors enhancing the calibration and discrimination of outcome. Objective: Our aim was to revalidate both the models for assessment of egg and milk allergies among Indians in the age group 0-19 years and to determine regression coefficients for our study population. Methods: Revalidation was done at the allergy clinic using OFC outcomes of egg and milk allergic patients. Precise values of the predictors were set up for which calibration (predicted against observed outcome) and discrimination (area under curve [AUC] of receiver operator characteristic curve [ROC]) would be better. Results: The Klemans model with reduced number of predictors showed better accuracy, calibration and discrimination than the DunnGalvin. Best calibration for egg allergy was achieved in the Klemans model with correlation coefficient (r2) of 0.90 and accuracy of 97%. The AUC of ROC was 0.90. For milk allergy, the coefficient was 0.94 with accuracy of 98%. The AUC was 0.91. Conclusion: The present study showed that mathematical models are non-invasive and can be successfully used as appropriate alternative to OFC in Indian population after proper validation.

Assessment of Hymenoptera and Non-Hymenoptera Insect Bite and Sting Allergy Among Patients of Tropical Region of West Bengal, India.

West Bengal, India, is inhabited by abundance and variety of insects that triggers sensitization in some humans to inhalant allergens and/or insect stings/venoms. Lack of research on this topic prevented accurate diagnosis and proper follow-up treatments to patients suffering from insect-induced allergies. The aim of our study was to identify the allergy-causing insects and evaluate resulting sensitization among a study population in West Bengal, India. The skin prick test (SPT) evaluated sensitivity of 450 patients who sought treatment at the Allergy and Asthma Research Center from July 2017 to June 2018. Eight insect allergens were tested: Common Black Ant (Lasius niger, Linnaeus 1758), Fire Ant (Solenopsis invicta, Buren 1972), Honey Bee (Apis cerana indica, Fabricius 1798), Common Wasp (Vespula vulgaris, Linnaeus 1758), Mosquito (Aedes aegypti, Linnaeus in Hasselquist 1762), American Cockroach (Periplaneta americana, Linnaeus 1758), House Fly (Musca domestica, Linnaeus 1758), and Grasshopper (Gesonula punctifrons, Stal 1861). From a total of 450 patients evaluated, 370 patients had positive SPT reaction from at least one of the 8 insect allergens tested. Sensitivity to some Hymenoptera insects (common black ant, 87.62%; fire ant, 84.59%; and honey bee, 67.02%) was found in higher proportion than non-Hymenoptera group (mosquito, 66.67%; American cockroach, 33.33%; house fly, 10.41%; and grasshopper, 5.14%). There was significant difference in sensitivity among child, adolescent, and adult (P < 0.001). While female patients showed more sensitivity than males to SPT, the difference was statistically insignificant. In regards to occupation, farmers and bee keepers were most sensitive of field workers sensitive to Hymenoptera-derived allergens.