Proteomic analysis of plasma proteins from patients with cardiac rupture after acute myocardial infarction using TMT-based quantitative proteomics approach.

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Clinical proteomics Pub Date : 2024-03-01 DOI:10.1186/s12014-024-09474-9
Jingyuan Hou, Qiaoting Deng, Xiaohong Qiu, Sudong Liu, Youqian Li, Changjing Huang, Xianfang Wang, Qunji Zhang, Xunwei Deng, Zhixiong Zhong, Wei Zhong
{"title":"Proteomic analysis of plasma proteins from patients with cardiac rupture after acute myocardial infarction using TMT-based quantitative proteomics approach.","authors":"Jingyuan Hou, Qiaoting Deng, Xiaohong Qiu, Sudong Liu, Youqian Li, Changjing Huang, Xianfang Wang, Qunji Zhang, Xunwei Deng, Zhixiong Zhong, Wei Zhong","doi":"10.1186/s12014-024-09474-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cardiac rupture (CR) is a rare but catastrophic mechanical complication of acute myocardial infarction (AMI) that seriously threatens human health. However, the reliable biomarkers for clinical diagnosis and the underlying signaling pathways insights of CR has yet to be elucidated.</p><p><strong>Methods: </strong>In the present study, a quantitative approach with tandem mass tag (TMT) labeling and liquid chromatography-tandem mass spectrometry was used to characterize the differential protein expression profiles of patients with CR. Plasma samples were collected from patients with CR (n = 37), patients with AMI (n = 47), and healthy controls (n = 47). Candidate proteins were selected for validation by multiple reaction monitoring (MRM) and enzyme-linked immunosorbent assay (ELISA).</p><p><strong>Results: </strong>In total, 1208 proteins were quantified and 958 differentially expressed proteins (DEPs) were identified. The difference in the expression levels of the DEPs was more noticeable between the CR and Con groups than between the AMI and Con groups. Bioinformatics analysis showed most of the DEPs to be involved in numerous crucial biological processes and signaling pathways, such as RNA transport, ribosome, proteasome, and protein processing in the endoplasmic reticulum, as well as necroptosis and leukocyte transendothelial migration, which might play essential roles in the complex pathological processes associated with CR. MRM analysis confirmed the accuracy of the proteomic analysis results. Four proteins i.e., C-reactive protein (CRP), heat shock protein beta-1 (HSPB1), vinculin (VINC) and growth/differentiation factor 15 (GDF15), were further validated via ELISA. By receiver operating characteristic (ROC) analysis, combinations of these four proteins distinguished CR patients from AMI patients with a high area under the curve (AUC) value (0.895, 95% CI, 0.802-0.988, p < 0.001).</p><p><strong>Conclusions: </strong>Our study highlights the value of comprehensive proteomic characterization for identifying plasma proteome changes in patients with CR. This pilot study could serve as a valid foundation and initiation point for elucidation of the mechanisms of CR, which might aid in identifying effective diagnostic biomarkers in the future.</p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10908035/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical proteomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12014-024-09474-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Cardiac rupture (CR) is a rare but catastrophic mechanical complication of acute myocardial infarction (AMI) that seriously threatens human health. However, the reliable biomarkers for clinical diagnosis and the underlying signaling pathways insights of CR has yet to be elucidated.

Methods: In the present study, a quantitative approach with tandem mass tag (TMT) labeling and liquid chromatography-tandem mass spectrometry was used to characterize the differential protein expression profiles of patients with CR. Plasma samples were collected from patients with CR (n = 37), patients with AMI (n = 47), and healthy controls (n = 47). Candidate proteins were selected for validation by multiple reaction monitoring (MRM) and enzyme-linked immunosorbent assay (ELISA).

Results: In total, 1208 proteins were quantified and 958 differentially expressed proteins (DEPs) were identified. The difference in the expression levels of the DEPs was more noticeable between the CR and Con groups than between the AMI and Con groups. Bioinformatics analysis showed most of the DEPs to be involved in numerous crucial biological processes and signaling pathways, such as RNA transport, ribosome, proteasome, and protein processing in the endoplasmic reticulum, as well as necroptosis and leukocyte transendothelial migration, which might play essential roles in the complex pathological processes associated with CR. MRM analysis confirmed the accuracy of the proteomic analysis results. Four proteins i.e., C-reactive protein (CRP), heat shock protein beta-1 (HSPB1), vinculin (VINC) and growth/differentiation factor 15 (GDF15), were further validated via ELISA. By receiver operating characteristic (ROC) analysis, combinations of these four proteins distinguished CR patients from AMI patients with a high area under the curve (AUC) value (0.895, 95% CI, 0.802-0.988, p < 0.001).

Conclusions: Our study highlights the value of comprehensive proteomic characterization for identifying plasma proteome changes in patients with CR. This pilot study could serve as a valid foundation and initiation point for elucidation of the mechanisms of CR, which might aid in identifying effective diagnostic biomarkers in the future.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用基于 TMT 的定量蛋白质组学方法对急性心肌梗死后心脏破裂患者的血浆蛋白质进行蛋白质组学分析。
背景:心脏破裂(CR)是急性心肌梗死(AMI)的一种罕见但灾难性的机械并发症,严重威胁人类健康。然而,用于临床诊断的可靠生物标志物以及洞察 CR 的潜在信号通路仍有待阐明:本研究采用串联质量标签(TMT)标记和液相色谱-串联质谱法定量分析 CR 患者的差异蛋白表达谱。研究人员采集了 CR 患者(37 人)、AMI 患者(47 人)和健康对照组(47 人)的血浆样本。通过多反应监测(MRM)和酶联免疫吸附试验(ELISA)筛选出候选蛋白质进行验证:结果:共对 1208 种蛋白质进行了定量分析,并确定了 958 种差异表达蛋白质(DEPs)。CR 组和 Con 组之间 DEPs 表达水平的差异比 AMI 组和 Con 组之间的差异更明显。生物信息学分析表明,大多数 DEPs 参与了许多关键的生物过程和信号通路,如 RNA 转运、核糖体、蛋白酶体、内质网中的蛋白质加工以及坏死和白细胞跨内皮细胞迁移,它们可能在 CR 相关的复杂病理过程中发挥着重要作用。MRM 分析证实了蛋白质组分析结果的准确性。四种蛋白质,即 C 反应蛋白(CRP)、热休克蛋白 beta-1(HSPB1)、长春瑞滨蛋白(VINC)和生长/分化因子 15(GDF15),通过 ELISA 得到了进一步验证。通过接收器操作特征(ROC)分析,这四种蛋白质的组合能以较高的曲线下面积(AUC)值(0.895,95% CI,0.802-0.988,p)将 CR 患者与 AMI 患者区分开来:我们的研究凸显了综合蛋白质组特征描述在确定 CR 患者血浆蛋白质组变化方面的价值。这项试验性研究可作为阐明 CR 机制的有效基础和起点,有助于将来确定有效的诊断生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
期刊最新文献
Characterizing age-related changes in intact mitochondrial proteoforms in murine hearts using quantitative top-down proteomics. Biomarker discovery in progressive supranuclear palsy from human cerebrospinal fluid. Research biopsies in kidney transplantation: an evaluation of surgical techniques and optimal tissue mass allowing molecular and histological analyses Using established biorepositories for emerging research questions: a feasibility study. Application of urine proteomics in the diagnosis and treatment effectiveness monitoring of early-stage Mycosis Fungoides.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1