2023
DOI: 10.1101/2023.10.13.562288
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Increased epithelial mTORC1 activity in chronic rhinosinusitis with nasal polyps

George X. Huang,
Nils R. Hallen,
Minkyu Lee
et al.

Abstract: Background: The airway epithelium plays a central role in the pathogenesis of chronic respiratory diseases such as asthma and chronic rhinosinusitis with nasal polyps (CRSwNP), but the mechanisms by which airway epithelial cells (EpCs) maintain inflammation are poorly understood. Objective: We hypothesized that transcriptomic assessment of sorted airway EpCs across the spectrum of differentiation would allow us to define mechanisms by which EpCs perpetuate airway inflammation. Methods: Ethmoid sinus EpCs from … Show more

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Cited by 2 publications
(5 citation statements)
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“…To identify cellular functions associated with glycolytic reprogramming in CRS, we performed correlation analyses of the Mootha glycolysis module scores with gene sets in the Gene Ontology Biological Processes database (7655 gene sets) and Reactome database (1615 gene sets), followed by strict Bonferroni multiple testing correction (see Supplementary Table 1 for all significant results). We previously demonstrated using bulk RNA-seq that sinonasal basal EpC glycolysis is correlated with genes involved in wound healing ( 15 ) and, consistent with this, basal EpC glycolysis in the Wang dataset correlated with GOBP and Reactome gene sets related to cell motility ( Figure 3A ). These included genes encoding actin-related protein 2/3 complex ( ARPC2 ) ( 32 ), the Rho GTPase Cdc42 ( CDC42 ) ( 33 ), filamin A ( FNLA ) ( 34 ), midkine ( MDK ) ( 35 ), the scaffold protein NEDD9 ( NEDD9 ) ( 36 ), and other genes previously reported to control epithelial cell migration, metastasis, and invasion.…”
Section: Resultssupporting
confidence: 76%
See 3 more Smart Citations
“…To identify cellular functions associated with glycolytic reprogramming in CRS, we performed correlation analyses of the Mootha glycolysis module scores with gene sets in the Gene Ontology Biological Processes database (7655 gene sets) and Reactome database (1615 gene sets), followed by strict Bonferroni multiple testing correction (see Supplementary Table 1 for all significant results). We previously demonstrated using bulk RNA-seq that sinonasal basal EpC glycolysis is correlated with genes involved in wound healing ( 15 ) and, consistent with this, basal EpC glycolysis in the Wang dataset correlated with GOBP and Reactome gene sets related to cell motility ( Figure 3A ). These included genes encoding actin-related protein 2/3 complex ( ARPC2 ) ( 32 ), the Rho GTPase Cdc42 ( CDC42 ) ( 33 ), filamin A ( FNLA ) ( 34 ), midkine ( MDK ) ( 35 ), the scaffold protein NEDD9 ( NEDD9 ) ( 36 ), and other genes previously reported to control epithelial cell migration, metastasis, and invasion.…”
Section: Resultssupporting
confidence: 76%
“…Our group and others have previously identified enhanced glycolysis in nasal epithelial cells (EpCs) in T2-high eCRSwNP ( 15 , 28 ). In that study, we performed unsupervised gene set enrichment analysis (GSEA) to demonstrate increased expression of the Hallmark glycolysis gene set in CRSwNP basal EpCs compared to CRSsNP basal EpCs, and we determined that expression of the Hallmark glycolysis gene set was tightly correlated with mTORC1 signaling in CRSwNP basal EpCs and with CD4 + Th2 cell infiltration in CRSwNP ( 15 ). To extend our metabolic profiling to additional pathways, cells, and disease subsets here, we assessed expression of the Mootha metabolic gene sets ( 17 , 29 ).…”
Section: Resultsmentioning
confidence: 87%
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“…Epithelial glycolysis can be induced by Th2 and Th17 cytokines in vitro and is correlated with Th2 cytokine response in vivo . These findings imply that CRSwNP may exhibit autophagy deficiency, with mTORC1 playing a significant role in its pathogenesis, potentially linked to glycolytic activity ( Huang et al, 2023 ). Additionally, bulk and single cell RNA-seq data highlighted the importance of Migration Inhibitory Factor (MIF) and Transforming Growth Factor-Beta (TGF-β) pathways in mediating the effects of mitophagy in CRS, particularly emphasizing the role of MIF ( Zhou et al, 2023 ).…”
Section: Transcriptome Sequencingmentioning
confidence: 99%