2021
DOI: 10.1016/j.lfs.2021.119606
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Gender differences in food allergy depend on the PPAR γ/NF-κB in the intestines of mice

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Cited by 15 publications
(10 citation statements)
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“…Gender is considered to be one of the factors causing food allergy, and female mice are generally considered to be more prone to allergy. , Wang et al . have demonstrated that female BALB/c mice were more vulnerable to food allergy . They found that systemic anaphylaxis in the food allergic mice was gender-dependent, and female mice treated with OVA exhibited a robust allergic reaction.…”
Section: Discussionmentioning
confidence: 99%
“…Gender is considered to be one of the factors causing food allergy, and female mice are generally considered to be more prone to allergy. , Wang et al . have demonstrated that female BALB/c mice were more vulnerable to food allergy . They found that systemic anaphylaxis in the food allergic mice was gender-dependent, and female mice treated with OVA exhibited a robust allergic reaction.…”
Section: Discussionmentioning
confidence: 99%
“…This is consistent with a previous study that showed that the female mice treated with OVA exhibited more serious systemic anaphylaxis than male mice. 26 Available clinical evidence suggests that sex differences likely play a role in food allergy development, for instance, by influencing the immune cells and mediators or the composition of the microbiome. 27 Here, more than four OVA-A-induced allergic reactions were successful (as evaluated by the diarrhea and allergy scores and the serum OVA-IgE levels).…”
Section: Discussionmentioning
confidence: 99%
“…In the study of OVA-A mechanisms, BALB/c mice are often used as model animals to study human-related diseases that contribute to the strong Th2 cytokine immune response. 30 Meanwhile, the OVA dose, the number of times OVA-A was induced, and the sex of the mice are crucial for successfully establishing an OVA-sensitized mouse model. Allergy-related clinical symptoms (diarrhea and allergy scores) and serum OVA-IgE levels were used to judge the effectiveness of the model.…”
Section: ■ Discussionmentioning
confidence: 99%