ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Inflammation Pharmacology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1719897
1-Stearoyl-2-Arachidonoyl-Driven B Cell Metabolic Dysregulation in Chronic Rhinosinusitis with Nasal Polyps: Insights from Mendelian Randomization and Single-Cell RNA Sequencing
Provisionally accepted- 1Otorhinolaryngology-Head and Neck Surgery, Guangzhou Red Cross Hospital, Guangzhou, China
- 2Ophthalmology, Guangzhou Red Cross Hospital, Guangzhou, China
- 3Guiyang Fourth Peoples Hospital, Guiyang, China
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Background: Chronic rhinosinusitis with nasal polyps (CRSwNP), an inflammatory condition of unclear etiology, may involve immune dysregulation and metabolic alterations. Methods: Utilizing Mendelian randomization, we investigated causal links between CRSwNP and profiles of 731 immune cell types and 1,400 metabolites. Single-cell RNA sequencing (scRNA-seq) was employed for cell type identification and transcription factor analysis. Metabolic profiling characterized cellular subpopulations, while Gene Set Enrichment Analysis (GSEA) and machine learning pinpointed key genes functionally linked to immune and inflammatory pathways (categorized via WGCNA and Metascape). Results: We identified expression of HLA-DR on CD33-HLA-DR+ B cells and the lipid metabolite 1-stearoyl-2-arachidonoyl as risk factors for CRSwNP. scRNA-seq further revealed these specific B cell subpopulations exhibit metabolic levels linked to immune responses. Bulk RNA analysis confirmed upregulation of genes CD27 and DERL3, while machine learning identified a signature of ten key genes showing positive correlation with B cell regulatory functions. Conclusions: This integrated study advances understanding of immune-metabolic crosstalk in CRSwNP pathogenesis, highlighting the role of metabolite-influenced B cell subsets in shaping the immune microenvironment, thereby suggesting novel therapeutic targets.
Keywords: CRSwNP, B-cell, Metabolism, Immunity, Mendelian randomization, single-cell RNA sequencing
Received: 07 Oct 2025; Accepted: 15 Oct 2025.
Copyright: © 2025 Wu, Sun, Wang, 张, Lin, Liu, Ai, Yu and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lei Cao, cl_ent@163.com
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