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作为哮喘生物标志物的验证及其在白细胞介素-13诱导的支气管上皮细胞损伤中的作用。

Validation of as an asthma biomarker and its role in IL-13-induced bronchial epithelial cell injury.

作者信息

Zhang Hui, Han Limei, Ding Huiyong, Li Jie, Kailiman Aierken, Li Jiepeng, Wang Feifei, Abudukahaer Abudu, Liu Rong, Qimanguli Wushou'er, Ge Shun

机构信息

Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xinjiang Medical University, Urumchi, China.

ADICON Holdings Limited, Hangzhou, China.

出版信息

J Thorac Dis. 2025 Jun 30;17(6):4177-4188. doi: 10.21037/jtd-2025-874. Epub 2025 Jun 26.

Abstract

BACKGROUND

Asthma is a heterogeneous chronic inflammatory disease of the airway, and its development is the result of genetic factors, environmental factors, immune dysfunction, and other factors. This study aimed to identify biomarkers of asthma.

METHODS

A differential gene expression (DGE) analysis and a weighted gene co-expression network analysis (WGCNA) were conducted to identify the asthma-related genes in the GSE67472 dataset, and these genes were intersected with immune genes from the Immuport database to identify the asthma-associated immune genes. Least absolute shrinkage and selection operator (LASSO) regression was used to identify the key asthma-associated immune genes, and receiver operating characteristic (ROC) curves were used to assess the diagnostic potential of these genes. Subsequently, the mechanism of action of the inducible factor interleukin 13 (IL-13) in human bronchial epithelial (HBE) cells and its effect on markers of asthma were verified .

RESULTS

The DGE analysis and WGCNA identified 62 asthma-related genes, and eight asthma-associated immune genes were identified after the intersection of the asthma-related genes and the immune-related genes. Utilizing LASSO regression, five key immune genes linked to asthma were uncovered. These included S100 calcium binding protein A16 (), Lactotransferrin (LTF), BPI fold containing family A member 1 (BPIFA1), cystatin 4 (CST4), and growth-related protein (GRP). The area under the curve (AUC) values of and were greater than 0.8. The single-cell analysis showed that was highly expressed in asthmatic neutrophils. Finally, the results of the experiments showed that IL-13 not only induced lipid peroxidation to promote iron death in the HBE cells, but also promoted the expression of .

CONCLUSIONS

This study identified a new biomarker, , for the diagnosis of asthma. may serve as a new potential target for asthma treatment, and may be an important regulator of ferroptosis.

摘要

背景

哮喘是一种气道异质性慢性炎症性疾病,其发生是遗传因素、环境因素、免疫功能障碍等多种因素共同作用的结果。本研究旨在鉴定哮喘的生物标志物。

方法

进行差异基因表达(DGE)分析和加权基因共表达网络分析(WGCNA),以识别GSE67472数据集中与哮喘相关的基因,并将这些基因与Immuport数据库中的免疫基因进行交叉分析,以鉴定与哮喘相关的免疫基因。采用最小绝对收缩和选择算子(LASSO)回归来识别关键的哮喘相关免疫基因,并使用受试者工作特征(ROC)曲线评估这些基因的诊断潜力。随后,验证了诱导因子白细胞介素13(IL-13)在人支气管上皮(HBE)细胞中的作用机制及其对哮喘标志物的影响。

结果

DGE分析和WGCNA共鉴定出62个与哮喘相关的基因,将哮喘相关基因与免疫相关基因交叉分析后,确定了8个与哮喘相关的免疫基因。利用LASSO回归,发现了5个与哮喘相关的关键免疫基因。这些基因包括S100钙结合蛋白A16()、乳铁蛋白(LTF)、含BPI结构域家族A成员1(BPIFA1)、胱抑素4(CST4)和生长相关蛋白(GRP)。和的曲线下面积(AUC)值均大于0.8。单细胞分析表明,在哮喘中性粒细胞中高表达。最后,实验结果表明,IL-13不仅诱导脂质过氧化以促进HBE细胞中的铁死亡,还促进了的表达。

结论

本研究鉴定出一种用于哮喘诊断的新生物标志物。可能成为哮喘治疗的新潜在靶点,并且可能是铁死亡的重要调节因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d021/12268608/8b1f08495e4a/jtd-17-06-4177-f1.jpg

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