Multi-omics and machine learning identify ALOX5 as a ferroptosis-associated driver of epithelial barrier dysfunction in chronic rhinosinusitis with nasal polyps.

Ziheng Huang, Huiqin Zhou, Li Wang, Yuanyuan Yang, Xiaoqiang Chen, Chengxun Li, Hongmeng Yu, Desheng Wang

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Article in The World Allergy Organization journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Ziheng HuangDepartment of Otolaryngology, Fujian Medical University Union Hospital, Fuzhou, China.

Huiqin ZhouDepartment of Otolaryngology, Research Units of New Technologies of Endoscopic Surgery in Skull Base Tumor (2018RU003), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.

Li WangENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.

Yuanyuan YangENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.

Xiaoqiang ChenDepartment of Otolaryngology, Fujian Medical University Union Hospital, Fuzhou, China.

Chengxun LiENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.

Hongmeng YuDepartment of Otolaryngology, Research Units of New Technologies of Endoscopic Surgery in Skull Base Tumor (2018RU003), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.

Desheng WangDepartment of Otolaryngology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a common chronic inflammatory disease of the upper airway, and its underlying pathogenesis remains incompletely understood. In this study, endoplasmic reticulum stress (ERS)-related gene sets were employed as the analytical starting point to systematically screen and identify core genes closely associated with CRSwNP. Through the integration of weighted gene co-expression network analysis (WGCNA), differential expression analysis, and multiple machine learning algorithms, 4 hub genes (ALOX5, HMOX1, PXDN, and CARD9) were identified, all of which exhibited favorable diagnostic performance for CRSwNP (AUC = 0.863-0.962,

Indexed as

Chronic rhinosinusitisEndoplasmic reticulum stressEpithelial cellsFerroptosisMachine learning

Identifiers

PMID42751055

DOI10.1016/j.waojou.2026.101456

PMCPMC13578981

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Textmetadata

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.