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通过生物信息学分析和实验验证鉴定与哮喘糖皮质激素抵抗相关的新型生物标志物
Authors Xuan L, Ren L, Zhang W, An Z
Received 11 March 2025
Accepted for publication 30 August 2025
Published 9 September 2025 Volume 2025:18 Pages 12379—12400
DOI https://doi.org/10.2147/JIR.S527640
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Prof. Dr. Yuhan Xing
Lingling Xuan,* Lulu Ren,* Wen Zhang, Zhuoling An
Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Zhuoling An, Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongti South Road, Chaoyang District, Beijing, 100020, People’s Republic of China, Email anzhuoling@163.com Lingling Xuan, Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongti South Road, Chaoyang District, Beijing, 100020, People’s Republic of China, Email xuanlinglinghd@163.com
Background: Corticosteroid resistance in asthma, marked by reduced glucocorticoid response, is significantly influenced by cigarette smoke (CS). We sought to explore potential novel biomarkers and therapeutic targets associated with CS-induced corticosteroid resistance in asthma.
Methods: GSE230048 (related to corticosteroid resistance) and GSE13896 (from CS-exposed macrophages) were obtained from GEO. Initially, we performed differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) to discover key genes involved in corticosteroid resistance in asthma. Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic accuracy of these markers. CIBERSORT was applied to clarify immune cell infiltration. Expression of the key biomarker was validated in asthma patients and asthma murine models.
Results: Five overlapping genes upregulated in corticosteroid-resistant asthma patients and smokers’ alveolar macrophages were identified. Subsequently, using WGCNA, the most relevant modules were identified and intersected with differentially expressed genes. Tensin 1 (TNS1), ATP-binding cassette subfamily C member 4 (ABCC4), and TNF receptor superfamily member 21 (TNFRSF21) were identified as critical biomarkers for corticosteroid resistance in asthma. ROC analysis showed an AUC of 0.718 for the three-marker combination. Single-cell RNA sequencing confirmed their expression in macrophages from asthmatic patients. Elevated levels of TNS1, ABCC4, TNFRSF21, and M2 macrophage markers (CD301 and CD206) were observed in CS-exposed murine lung tissues and CS condensate-treated Raw264.7 cells. TNS1 knockdown significantly reduced CD301 and CD206 expression, suggesting its role in promoting macrophage M2 polarization.
Conclusion: In conclusion, we identified three hub genes (TNS1, ABCC4, and TNFRSF21) associated with CS-induced corticosteroid resistance in asthma. Additionally, TNS1 may be involved in CS-induced corticosteroid resistance in asthma by promoting macrophage M2 polarization.
Keywords: corticosteroid resistance, asthma, TNS1, ABCC4, TNFRSF21, macrophage