IL-33 induces NF-κB activation in ILC2 that can be suppressed by

ILC2 - group 2 innate lymphoid cell allergy asthma estrogen interleukin-13 interleukin-33 interleukin-5

Journal

Frontiers in allergy
ISSN: 2673-6101
Titre abrégé: Front Allergy
Pays: Switzerland
ID NLM: 9918227355906676

Informations de publication

Date de publication:
2022
Historique:
received: 05 10 2022
accepted: 07 11 2022
entrez: 12 12 2022
pubmed: 13 12 2022
medline: 13 12 2022
Statut: epublish

Résumé

Asthmatic women tend to develop severe airway disease in their reproductive years, and 30%-40% of asthmatic women have peri-menstrual worsening of asthma symptoms. This indicates that fluctuations in ovarian hormones are involved in advancement of asthmatic disease and exacerbation of symptoms. Group 2 innate lymphoid cells, or ILC2, are readily detected in allergic conditions, such as rhinosinusitis, in individuals that develop nasal polyps do to allergen exposures, and in allergic asthma. ILC2 are airway localized immune cells activated by IL-33, an innate cytokine that perpetuates allergic inflammation by driving the production of IL-5 and IL-13. We have previously shown that ILC2 are highly activated in naïve and ovalbumin (OVA) challenged, female BALB/c mice in comparison to male mice following stimulation with IL-33. Here, we investigated the effect of steady-state ovarian hormones on ILC2 and the NF-κB signaling pathway following OVA sensitization and challenge. We found that estrogen-treated ovariectomized mice (OVX-E2) that had been challenged with OVA had reduced IL-5 and IL-13 production by lung ILC2 as compared to lung ILC2 isolated from intact male and female sham-operated controls that had been treated with OVA. ILC2 were isolated from untreated animals and co-cultured

Identifiants

pubmed: 36506643
doi: 10.3389/falgy.2022.1062412
pmc: PMC9732027
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1062412

Subventions

Organisme : BLRD VA
ID : IK2 BX004219
Pays : United States

Informations de copyright

© 2022 Trivedi, Labuz, Deering-Rice, Kim, Christensen, Aamodt, Huecksteadt, Sanders and Warren.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Shubhanshi Trivedi (S)

Division of Infectious Disease, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States.
George E Wahlen Department of Veterans Affairs Medical Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States.

Daniel Labuz (D)

Division of Infectious Disease, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States.

Cassandra E Deering-Rice (CE)

Department of Pharmacology and Toxicology, University of Utah College of Pharmacy, Salt Lake City, UT, United States.

Chu Un Kim (CU)

Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT, United States.

Hayden Christensen (H)

Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT, United States.

Sam Aamodt (S)

Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT, United States.

Tom Huecksteadt (T)

George E Wahlen Department of Veterans Affairs Medical Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States.

Karl Sanders (K)

George E Wahlen Department of Veterans Affairs Medical Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States.
Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT, United States.

Kristi J Warren (KJ)

George E Wahlen Department of Veterans Affairs Medical Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States.
Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah Health, Salt Lake City, UT, United States.

Classifications MeSH