Prevalence of food-allergen and aeroallergen sensitization among people in Sichuan, Western China: An 8-year observational study

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Abstract

Background: Identifying the distribution of allergens is invaluable to effective diagnosis and treatment of allergic disease. The present study aims to analyze the epidemiology of allergens in Sichuan, Western China. Methods: A total of 14 030 participants including 8031 men and 5999 women were enrolled in this study during 2007-2014 in West China Hospital. An assay testing for the presence of allergen-specific IgE was used to identify highly immunogenic allergens. Results: Of the 14 030 total participants, 3470 (24.72%) were sensitive to at least one of tested allergens. The most immunogenic allergens were mite mix (1876, 13.38%), crab (876, 6.24%), sea-fish mix (865, 6.16%), house dust (355, 2.54%), and cockroach (292, 2.08%). The differences between population of participants who were sensitive to food allergens and aeroallergens were statistically significant in 0 to 10, 11 to 20, 21 to 30, 41 to 50, and 51 to 60 year-old age-groups (all P < 0.05). Distributions of three food allergens and two aeroallergens were significantly different between male and female participants. There was also an increase in sensitization to cow's milk, mutton, sea-fish, and mould that was observed in the 71 to 90 year-old group. Conclusion: The most common allergens presented in Sichuan were observed to be mites, crab, sea-fish, and house dust. There was an observable difference in sensitivity to five allergens between males and females. Additionally, aeroallergens appeared to have a greater immunogenic effect in younger populations while the elderly presented with increased sensitization to specific allergens, suggesting that specific allergens' immunogenicity was age-dependent.

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APA

Huang, Z., Feng, W., Wei, W., Yang, B., & Wang, L. (2019). Prevalence of food-allergen and aeroallergen sensitization among people in Sichuan, Western China: An 8-year observational study. Journal of Clinical Laboratory Analysis, 33(3). https://doi.org/10.1002/jcla.22723

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