• 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

哮喘儿童血浆的定量蛋白质组学分析。

Quantitative proteomics profiling of plasma from children with asthma.

机构信息

Department of Pediatrics Laboratory, The Affiliated Wuxi Children's Hospital of Jiangnan University, Wuxi 214023, Jiangsu Province, China.

Department of Clinical Laboratory, Huishan District Hospital, Wuxi 214187, Jiangsu Province, China.

出版信息

Int Immunopharmacol. 2023 Jun;119:110249. doi: 10.1016/j.intimp.2023.110249. Epub 2023 May 3.

DOI:10.1016/j.intimp.2023.110249
PMID:37146352
Abstract

A lack of validated blood diagnostic markers presents an obstacle to asthma control. The present study sought to profile the plasma proteins of children with asthma and to determine potential biomarkers. Plasma samples from children in acute exacerbation (n = 4), in clinical remission (n = 4), and from healthy children (n = 4, control) were analyzed using a tandem mass tag (TMT)-labeling quantitative proteomics and the candidate biomarkers were validated using liquid chromatography-parallel reaction monitoring (PRM)/mass spectrometry (MS) with enzyme-linked immunosorbent assay (ELISA). We identified 347 proteins with differential expression between groups: 125 (50 upregulated, 75 downregulated) between acute exacerbation and control, 142 (72 upregulated, 70 downregulated) between clinical remission and control, and 55 (22 upregulated, 33 downregulated) between acute and remission groups (all between-group fold changes > 1.2; P < 0.05 by Student's t-test). Gene ontology analysis implicated differentially expressed proteins among children with asthma in immune response, the extracellular region, and protein binding. Further, KEGG pathway analysis of differentially expressed proteins identified complement and coagulation cascades and Staphylococcus aureus infection pathways as having the highest protein aggregation. Our analyses of protein interactions identified important node proteins, particularly KRT10. Among 11 differentially expressed proteins, seven proteins (IgHD, IgHG4, AACT, IgHA1, SAA, HBB, and HBA1) were verified through PRM/MS. Protein levels of AACT, IgA, SAA, and HBB were verified through ELISA and may be useful as biomarkers to identify individuals with asthma. In conclusion, our study presents a novel comprehensive analysis of changes in plasma proteins in children with asthma and identifies a panel for accessory diagnosis of pediatric asthma.

摘要

缺乏经过验证的血液诊断标志物是哮喘控制的障碍。本研究旨在分析儿童哮喘患者的血浆蛋白谱,并确定潜在的生物标志物。使用串联质量标签 (TMT) 标记定量蛋白质组学分析急性加重期 (n = 4)、临床缓解期 (n = 4) 和健康儿童 (n = 4,对照组) 的血浆样本,并使用液相色谱-平行反应监测 (PRM)/质谱 (MS) 和酶联免疫吸附测定 (ELISA) 验证候选生物标志物。我们在组间鉴定出 347 种具有差异表达的蛋白质:急性加重期与对照组之间有 125 种 (50 种上调,75 种下调),临床缓解期与对照组之间有 142 种 (72 种上调,70 种下调),急性期与缓解期之间有 55 种 (22 种上调,33 种下调) (所有组间折叠变化 > 1.2;学生 t 检验 P < 0.05)。GO 分析表明哮喘儿童差异表达蛋白参与免疫反应、细胞外区和蛋白结合。此外,差异表达蛋白的 KEGG 途径分析确定补体和凝血级联以及金黄色葡萄球菌感染途径具有最高的蛋白聚集。我们对蛋白质相互作用的分析确定了重要的节点蛋白,特别是 KRT10。在 11 种差异表达蛋白中,有 7 种蛋白 (IgHD、IgHG4、AACT、IgHA1、SAA、HBB 和 HBA1) 通过 PRM/MS 得到验证。通过 ELISA 验证了 AACT、IgA、SAA 和 HBB 的蛋白水平,它们可能是识别哮喘患者的有用生物标志物。总之,本研究对儿童哮喘患者血浆蛋白变化进行了全面分析,并确定了一组用于儿童哮喘辅助诊断的标志物。

相似文献

1
Quantitative proteomics profiling of plasma from children with asthma.哮喘儿童血浆的定量蛋白质组学分析。
Int Immunopharmacol. 2023 Jun;119:110249. doi: 10.1016/j.intimp.2023.110249. Epub 2023 May 3.
2
[Tandem mass tag-based quantitative proteomics analysis of plasma and plasma exosomes in Parkinson's disease].[基于串联质量标签的帕金森病血浆及血浆外泌体定量蛋白质组学分析]
Se Pu. 2023 Dec;41(12):1073-1083. doi: 10.3724/SP.J.1123.2022.12022.
3
Quantitative proteomic analysis of human plasma using tandem mass tags to identify novel biomarkers for herpes zoster.采用串联质量标签的人血浆定量蛋白质组学分析,以鉴定带状疱疹的新型生物标志物。
J Proteomics. 2020 Aug 15;225:103879. doi: 10.1016/j.jprot.2020.103879. Epub 2020 Jun 30.
4
Tandem mass tag-based serum proteomic profiling revealed diabetic foot ulcer pathogenesis and potential therapeutic targets.基于串联质量标签的血清蛋白质组学分析揭示了糖尿病足溃疡的发病机制和潜在的治疗靶点。
Bioengineered. 2022 Feb;13(2):3171-3182. doi: 10.1080/21655979.2022.2027173.
5
Quantitative proteomic analysis of rat retina with experimental autoimmune uveitis based on tandem mass tag (TMT) peptide labeling coupled with LC-MS/MS.基于串联质量标签(TMT)肽标记与 LC-MS/MS 的实验性自身免疫性葡萄膜炎大鼠视网膜的定量蛋白质组学分析。
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Sep 15;1153:122293. doi: 10.1016/j.jchromb.2020.122293. Epub 2020 Jul 30.
6
Identification of human serum protein targets of Qianggu Decoction () in primary type I osteoporosis based on tandem mass tag labeling and liquid chromatography-tandem mass spectrometry technology.基于串联质谱标签标记和液相色谱-串联质谱技术鉴定强骨汤治疗原发性Ⅰ型骨质疏松症的人血清蛋白靶点
Chin J Integr Med. 2017 Oct;23(10):747-754. doi: 10.1007/s11655-016-2600-4. Epub 2016 Jul 7.
7
Differentially expressed serum proteins in children with or without asthma as determined using isobaric tags for relative and absolute quantitation proteomics.使用等压标签相对和绝对定量蛋白质组学测定的有或无哮喘儿童血清中差异表达的蛋白质。
PeerJ. 2020 Nov 3;8:e9971. doi: 10.7717/peerj.9971. eCollection 2020.
8
Discovery of pathway biomarkers from coupled proteomics and systems biology methods.从耦合蛋白质组学和系统生物学方法中发现途径生物标志物。
BMC Genomics. 2010 Nov 2;11 Suppl 2(Suppl 2):S12. doi: 10.1186/1471-2164-11-S2-S12.
9
A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children.一种用于儿童特发性身材矮小的新型诊断预测模型。
Front Endocrinol (Lausanne). 2021 Sep 17;12:721812. doi: 10.3389/fendo.2021.721812. eCollection 2021.
10
TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy.基于 TMT 的儿童罗兰多癫痫患者血浆蛋白质组学分析。
Dis Markers. 2020 Oct 7;2020:8840482. doi: 10.1155/2020/8840482. eCollection 2020.

引用本文的文献

1
Molecular profiling of exhaled breath condensate in respiratory diseases.呼吸系统疾病中呼出气冷凝物的分子谱分析
Ann Med. 2025 Dec;57(1):2537910. doi: 10.1080/07853890.2025.2537910. Epub 2025 Jul 24.
2
Association analysis of PAEP, KRT10, and BMP7 genes SNPs with reproductive traits in Kele pigs.柯乐猪PAEP、KRT10和BMP7基因单核苷酸多态性与繁殖性状的关联分析
PLoS One. 2025 Jul 14;20(7):e0311064. doi: 10.1371/journal.pone.0311064. eCollection 2025.
3
Identification of STAT3 signaling as a shared pathogenic signature in systemic lupus erythematosus, chronic obstructive pulmonary disease, and asthma.
鉴定信号转导和转录激活因子3(STAT3)信号传导作为系统性红斑狼疮、慢性阻塞性肺疾病和哮喘的共同致病特征。
Sci Rep. 2025 Jul 2;15(1):22725. doi: 10.1038/s41598-025-07184-2.
4
Integration of multi-source gene interaction networks and omics data with graph attention networks to identify novel disease genes.将多源基因相互作用网络和组学数据与图注意力网络相结合以识别新型疾病基因。
Bioinformatics. 2025 Apr 23. doi: 10.1093/bioinformatics/btaf181.
5
Serum proteomics identifies novel diagnostic biomarkers for asthma in preschool children.血清蛋白质组学鉴定出学龄前儿童哮喘的新型诊断生物标志物。
J Thorac Dis. 2024 Jan 30;16(1):65-80. doi: 10.21037/jtd-23-974. Epub 2024 Jan 24.
6
Lower myostatin and higher MUC1 levels are associated with better response to mepolizumab and omalizumab in asthma: a protein-protein interaction analyses.较低的肌肉生长抑制素和较高的 MUC1 水平与对美泊利珠单抗和奥马珠单抗治疗哮喘的更好反应相关:蛋白质-蛋白质相互作用分析。
Respir Res. 2023 Dec 6;24(1):305. doi: 10.1186/s12931-023-02620-1.