• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于机器学习分析揭示 EXPH5 作为 COPD 晚期潜在的诊断基因生物标志物。

Revealing EXPH5 as a potential diagnostic gene biomarker of the late stage of COPD based on machine learning analysis.

机构信息

College of Pulmonary & Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100091, China; Beijing Key Laboratory of OTIR, Beijing, 100091, China.

College of Pulmonary & Critical Care Medicine, Chinese PLA General Hospital, Beijing, 100091, China; Hebei North Universit, Zhangjiakou, 075000, China.

出版信息

Comput Biol Med. 2023 Mar;154:106621. doi: 10.1016/j.compbiomed.2023.106621. Epub 2023 Jan 31.

DOI:10.1016/j.compbiomed.2023.106621
PMID:36746116
Abstract

Chronic obstructive pulmonary disease is a kind of chronic lung disease characterized by persistent air flow obstruction, which was the third leading cause of death in China. The incidence of COPD is steadily and increasing and has been a globally sever disease. Accordingly, it is urgently needed to explore how to diagnose and treat COPD timely. This study aims to find key genes to diagnose COPD as soon as possible to avoid COPD processing and analyze immune cell infiltration between COPD early stage and late stage. Two GEO datasets were merged as the merge data for analyses. 157 DEGs were used for GSEA analysis to find the pathway between COPD early stage and late stage. Above all, gene EXPH5 stood out from the screen as the most likely candidate diagnosis biomarker of COPD indicating the late-stage by least LASSO and SVM-RFE. ROC curves of EXPH5 were applied to represent the discriminatory ability through the area under the curve which is the gold standard to evaluate the accuracy of diagnosis and survival rate. The CIBERSORT algorithm was used to assess the distribution of tissue-infiltrating immune cells between two COPD stages. The diagnosis biomarker, gene EXPH5 had a positive correlation with NK cells resting; mast cell resting, eosinophils, and negative correlation with T cell gamma delta, macrophages M1, which underscore the role of gene and immune cell infiltration. To make results more reliable, we further analyzed the gene EXPH5 expression in single-cell transcriptome data and showed again that EXPH5 genes significantly downregulated in the late stage of COPD especially in the main lung cell types AT1 and AT2. In a word, our study identified genes EXPH5 as a marker gene, which adds to the knowledge for clinical diagnosis and pharmaceutical design of COPD.

摘要

慢性阻塞性肺疾病是一种以持续性气流阻塞为特征的慢性肺部疾病,是中国第三大死亡原因。COPD 的发病率稳步上升,已成为全球性严重疾病。因此,迫切需要探索如何及时诊断和治疗 COPD。本研究旨在寻找关键基因,尽快诊断 COPD,避免 COPD 进展,并分析 COPD 早期和晚期之间的免疫细胞浸润。合并了两个 GEO 数据集作为分析的合并数据。使用 157 个差异表达基因进行 GSEA 分析,以发现 COPD 早期和晚期之间的通路。总的来说,基因 EXPH5 从筛选中脱颖而出,成为 COPD 最有可能的候选诊断生物标志物,通过最小的 LASSO 和 SVM-RFE 指示晚期。EXPH5 的 ROC 曲线用于通过曲线下面积表示区分能力,这是评估诊断准确性和生存率的金标准。CIBERSORT 算法用于评估两个 COPD 阶段之间组织浸润免疫细胞的分布。诊断生物标志物基因 EXPH5 与 NK 细胞静息呈正相关;肥大细胞静息、嗜酸性粒细胞,与 T 细胞 γδ、巨噬细胞 M1 呈负相关,突出了基因和免疫细胞浸润的作用。为了使结果更可靠,我们进一步分析了单细胞转录组数据中基因 EXPH5 的表达,再次表明 EXPH5 基因在 COPD 晚期特别是在主要肺细胞类型 AT1 和 AT2 中显著下调。总之,我们的研究确定了基因 EXPH5 作为一个标记基因,为 COPD 的临床诊断和药物设计增添了知识。

相似文献

1
Revealing EXPH5 as a potential diagnostic gene biomarker of the late stage of COPD based on machine learning analysis.基于机器学习分析揭示 EXPH5 作为 COPD 晚期潜在的诊断基因生物标志物。
Comput Biol Med. 2023 Mar;154:106621. doi: 10.1016/j.compbiomed.2023.106621. Epub 2023 Jan 31.
2
Machine-Learning Algorithm-Based Prediction of Diagnostic Gene Biomarkers Related to Immune Infiltration in Patients With Chronic Obstructive Pulmonary Disease.基于机器学习算法的慢性阻塞性肺疾病患者免疫浸润相关诊断基因生物标志物预测。
Front Immunol. 2022 Mar 8;13:740513. doi: 10.3389/fimmu.2022.740513. eCollection 2022.
3
Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.基于生物信息学和机器学习的 COPD 相关生物标志物筛选及中医药预测。
Int J Chron Obstruct Pulmon Dis. 2024 Sep 24;19:2073-2095. doi: 10.2147/COPD.S476808. eCollection 2024.
4
Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.基于 COPD 的整合生物信息学和机器学习的诊断生物标志物和免疫细胞图谱的鉴定。
J Cell Mol Med. 2024 Sep;28(18):e70107. doi: 10.1111/jcmm.70107.
5
Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation.基于机器学习方法和房颤免疫浸润调控机制分析潜在的遗传生物标志物。
BMC Med Genomics. 2022 Mar 19;15(1):64. doi: 10.1186/s12920-022-01212-0.
6
Identification of Ferroptosis-Related Hub Genes and Their Association with Immune Infiltration in Chronic Obstructive Pulmonary Disease by Bioinformatics Analysis.基于生物信息学分析鉴定慢性阻塞性肺疾病中与铁死亡相关的枢纽基因及其与免疫浸润的关系。
Int J Chron Obstruct Pulmon Dis. 2022 May 24;17:1219-1236. doi: 10.2147/COPD.S348569. eCollection 2022.
7
Identification of Macrophage Polarization-Related Genes as Biomarkers of Chronic Obstructive Pulmonary Disease Based on Bioinformatics Analyses.基于生物信息学分析鉴定巨噬细胞极化相关基因作为慢性阻塞性肺疾病的生物标志物。
Biomed Res Int. 2021 Jun 20;2021:9921012. doi: 10.1155/2021/9921012. eCollection 2021.
8
Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis.基于机器学习预测与特发性肺纤维化患者免疫浸润相关的候选基因生物标志物
Front Med (Lausanne). 2023 Feb 13;10:1001813. doi: 10.3389/fmed.2023.1001813. eCollection 2023.
9
Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.通过综合策略鉴定 TYR、TYRP1、DCT 和 LARP7 作为相关生物标志物及白癜风的免疫浸润特征。
Bioengineered. 2021 Dec;12(1):2214-2227. doi: 10.1080/21655979.2021.1933743.
10
Five genes as diagnostic biomarkers of dermatomyositis and their correlation with immune cell infiltration.五种用于诊断皮肌炎的基因标志物及其与免疫细胞浸润的相关性。
Front Immunol. 2023 Jan 18;14:1053099. doi: 10.3389/fimmu.2023.1053099. eCollection 2023.

引用本文的文献

1
A comprehensive bioinformatics analysis of pathways and biomarkers shared between type 2 diabetes mellitus and chronic obstructive pulmonary disease.2型糖尿病与慢性阻塞性肺疾病之间共享的通路和生物标志物的综合生物信息学分析。
Front Immunol. 2025 Jul 25;16:1536551. doi: 10.3389/fimmu.2025.1536551. eCollection 2025.
2
Integrating Single-Cell and Experimental Analyses Uncover Macrophage Ferroptosis Is a Key Event in the Development of Chronic Obstructive Pulmonary Disease.整合单细胞分析与实验分析揭示巨噬细胞铁死亡是慢性阻塞性肺疾病发展中的关键事件。
FASEB J. 2025 Jun 30;39(12):e70756. doi: 10.1096/fj.202501120R.
3
Identification of subtypes and biomarkers associated with disulfidptosis-related ferroptosis in ulcerative colitis.
溃疡性结肠炎中与二硫化物诱导的铁死亡相关的亚型和生物标志物的鉴定。
Hereditas. 2025 Feb 22;162(1):27. doi: 10.1186/s41065-025-00390-y.
4
Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series.基于肺活量图时间序列的深度学习用于慢性阻塞性肺疾病的检测和早期预测。
NPJ Syst Biol Appl. 2025 Feb 15;11(1):18. doi: 10.1038/s41540-025-00489-y.
5
An integrated investigation of mitochondrial genes in COPD reveals the causal effect of NDUFS2 by regulating pulmonary macrophages.慢性阻塞性肺疾病中线粒体基因的综合研究揭示了 NDUFS2 通过调节肺巨噬细胞的因果效应。
Biol Direct. 2025 Jan 9;20(1):4. doi: 10.1186/s13062-025-00593-3.
6
Comprehensive assessment of the association between tumor-infiltrating immune cells and the prognosis of renal cell carcinoma.肿瘤浸润免疫细胞与肾细胞癌预后之间关联的综合评估
World J Clin Oncol. 2024 Oct 24;15(10):1280-1292. doi: 10.5306/wjco.v15.i10.1280.
7
Identification and Analysis of Potential Biomarkers Associated with Neutrophil Extracellular Traps in Cervicitis.宫颈炎中与中性粒细胞胞外陷阱相关的潜在生物标志物的鉴定与分析
Biochem Genet. 2024 Oct 17. doi: 10.1007/s10528-024-10919-x.
8
Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.基于 COPD 的整合生物信息学和机器学习的诊断生物标志物和免疫细胞图谱的鉴定。
J Cell Mol Med. 2024 Sep;28(18):e70107. doi: 10.1111/jcmm.70107.
9
Identification of immune-related biomarkers for intracerebral hemorrhage diagnosis based on RNA sequencing and machine learning.基于RNA测序和机器学习的脑出血诊断免疫相关生物标志物的鉴定
Front Immunol. 2024 Aug 30;15:1421942. doi: 10.3389/fimmu.2024.1421942. eCollection 2024.
10
Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments.基于生物信息学和体外实验鉴定前列腺癌骨转移相关基因和潜在治疗靶点。
J Cell Mol Med. 2024 Aug;28(15):e18511. doi: 10.1111/jcmm.18511.