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Pulmonary fibroblast-derived stem cell factor promotes neutrophilic asthma by augmenting IL-17A production from ILC3s

GSE275251 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/06/03 Platform GPL24247
Summary
Group 3 innate lymphoid cells (ILC3s) have emerged as an important player in the pathogenesis of neutrophilic asthma. However, the regulatory mechanism supporting ILC3 responses in lung remains largely unclear. Here, we demonstrated that stem cell factor (SCF) expression is significantly increased and positively correlated with IL-17A and MPO expression in asthmatic patients. Notably, we identified ILC3 as a major IL-17A-producing responder to SCF in lung. In mice, SCF synergized with IL-1β/IL-23 to enhance pulmonary ILC3 activation and neutrophilic inflammation. Mechanistically, SCF promoted ILC3 proliferation and cytokine production. Transcriptomic analysis revealed that SCF treatment upregulated the genes related to proliferation and Th17 differentiation, associated with increased AKT and STAT3 signaling. In contrast, deficiency of SCF receptor, c-Kit, reduced ILC3 proliferation and IL-17A production, resulting in the amelioration of airway hyperreactivity (AHR) and neutrophilic inflammation in mouse neutrophilic asthma model. Furthermore, genetic deletion of SCF in fibroblasts revealed fibroblasts as the primary source of SCF for ILC3 activation in lung. Moreover, administration of imatinib, a c-Kit inhibitor, alleviated LPS, air pollution or ovalbumin/LPS-induced AHR and neutrophilic inflammation. Our findings elucidated a positive modulatory role of SCF/c-Kit signaling in ILC3 responses during neutrophilic inflammation, offering a potential therapeutic target for neutrophilic asthma.
Published in
Pulmonary fibroblast-derived stem cell factor promotes neutrophilic asthma by augmenting IL-17A production from ILC3s
Shao JS, Lai AC, Huang WC et al. · The Journal of clinical investigation 2025 · PMID 40674143 · doi:10.1172/JCI187372
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Also filed as BioProject PRJNA1150109 and SRA study SRP527505. Searching any of these in the dataset finder brings you back here.

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