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Publication

Mechanical Skin Injury Promotes Food Anaphylaxis by Driving Intestinal Mast Cell Expansion.

Immunity | 2019

Mast cell (MC) mediator release after crosslinking of surface-bound IgE antibody by ingested antigen underlies food allergy. However, IgE antibodies are not uniformly associated with food allergy, and intestinal MC load is an important determinant. Atopic dermatitis (AD), characterized by pruritis and cutaneous sensitization to allergens, including foods, is strongly associated with food allergy. Tape stripping mouse skin, a surrogate for scratching, caused expansion and activation of small intestinal MCs, increased intestinal permeability, and promoted food anaphylaxis in sensitized mice. Tape stripping caused keratinocytes to systemically release interleukin-33 (IL-33), which synergized with intestinal tuft-cell-derived IL-25 to drive the expansion and activation of intestinal type-2 innate lymphoid cells (ILC2s). These provided IL-4, which targeted MCs to expand in the intestine. Duodenal MCs were expanded in AD. In addition to promoting cutaneous sensitization to foods, scratching may promote food anaphylaxis in AD by expanding and activating intestinal MCs.

Pubmed ID: 31027995 RIS Download

Research resources used in this publication

Alexa Fluor(R) 700 anti-mouse CD45 (RRID:AB_493715) (antibody)

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Associated grants

Agency: NIAID NIH HHS, United States
Id: U01 AI147462
Agency: NIAID NIH HHS, United States
Id: R01 AI113294
Agency: NIAID NIH HHS, United States
Id: T32 AI007512
Agency: NIAID NIH HHS, United States
Id: R01 AI130019
Agency: NIDDK NIH HHS, United States
Id: P30 DK034854
Agency: NIAID NIH HHS, United States
Id: U19 AI117673
Agency: NCCIH NIH HHS, United States
Id: DP2 AT009499

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PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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FlowJo (tool)

RRID:SCR_008520

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