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Usage Information

PAC1 constrains type 2 inflammation through promotion of CGRP signaling in ILC2s
Yuan Jin, … , Yan Jin, Yuxin Yin
Yuan Jin, … , Yan Jin, Yuxin Yin
Published September 17, 2024
Citation Information: J Clin Invest. 2024;134(21):e180109. https://doi.org/10.1172/JCI180109.
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Research Article Immunology

PAC1 constrains type 2 inflammation through promotion of CGRP signaling in ILC2s

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Abstract

Dysfunction of group 2 innate lymphoid cells (ILC2s) plays an important role in the development of type 2 inflammation–related diseases such as asthma and pulmonary fibrosis. Notably, neural signals are increasingly recognized as pivotal regulators of ILC2s. However, how ILC2s intrinsically modulate their responsiveness to these neural signals is still largely unknown. Here, using single-cell RNA-Seq, we found that the immune-regulatory molecule phosphatase of activated cells 1 (PAC1) selectively promoted the signaling of the neuropeptide calcitonin gene–related peptide (CGRP) in ILC2s in a cell-intrinsic manner. Genetic ablation of PAC1 in ILC2s substantially impaired the inhibitory effect of CGRP on proliferation and IL-13 secretion. PAC1 deficiency significantly exacerbated allergic airway inflammation induced by Alternaria alternata or papain in mice. Moreover, in human circulating ILC2s, the expression level of PAC1 was also significantly negatively correlated with the number of ILC2s and their expression level of IL13. Mechanistically, PAC1 was necessary for ensuring the expression of CGRP response genes by influencing chromatin accessibility. In summary, our study demonstrated that PAC1 is an important regulator of ILC2 responses, and we propose that PAC1 is a potential target for therapeutic interventions in type 2 inflammation–related diseases.

Authors

Yuan Jin, Bowen Liu, Qiuyu Li, Xiangyan Meng, Xiaowei Tang, Yan Jin, Yuxin Yin

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Usage data is cumulative from September 2024 through May 2025.

Usage JCI PMC
Text version 3,113 249
PDF 600 45
Figure 320 0
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Citation downloads 42 0
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Total Views 4,522

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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