Hong-Mei Xue, Hai-Tao Hou, Yu Song, Huan-Xin Chen, Yun-Qiang Zhang, Wen-Tao Sun, Jie Zhou, Xiao-Lin Zhou, Na Sun, Qin Yang, Guo-Wei He
{"title":"数据独立获取蛋白质组学鉴定血浆前列腺素- hdd异构酶作为STEMI和NSTEMI的早期诊断生物标志物。","authors":"Hong-Mei Xue, Hai-Tao Hou, Yu Song, Huan-Xin Chen, Yun-Qiang Zhang, Wen-Tao Sun, Jie Zhou, Xiao-Lin Zhou, Na Sun, Qin Yang, Guo-Wei He","doi":"10.1016/j.mcpro.2025.100996","DOIUrl":null,"url":null,"abstract":"<p><p>Myocardial infarction (MI), including ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI), remains a leading cause of death worldwide. This study aimed to identify the early diagnostic biomarkers for STEMI and NSTEMI. Plasma samples from 386 patients were classified into four groups: control (CON) (n = 62), unstable angina (UA) (n = 62), STEMI (n = 182), and NSTEMI (n = 80). The protein profiles were analyzed using data-independent acquisition (DIA)-based proteomics to identify differentially abundant proteins (DAPs) followed by bioinformatics analysis and ELISA validation. In STEMI, 93 DAPs were detected. Among the selected DAPs that were further validated in a new cohort of patients, prostaglandin-H2 D-isomerase (PTGDS) was elevated at the earliest onset time of STEMI (T1, 1.45 h (95% CI: 1.16-1.73)) or NSTEMI (T1, 1.48 h (95% CI: 0.97-1.98)) while the current biomarkers (hs-TnI, Myo, CK-MB, and BNP) remained within normal ranges. The analysis of diagnostic indices for plasma PTGDS demonstrated a sensitivity of 63.95% and specificity of 65.38% in STEMI, 70% and 71.15% in NSTEMI. Moreover, AUC was 0.61 (95% CI: 0.53-0.69) in STEMI and 0.78 (95% CI: 0.70-0.86) in NSTEMI. The present study demonstrates that in patients with MI, plasma PTGDS increases at an earlier stage of onset time than the current biomarkers, with similar sensitivity and specificity. Therefore, PTGDS has high potential to be developed as an early diagnostic biomarker. In particular, PTGDS might be of greater clinical significance for patients suspected of NSTEMI, for which the biomarker could be more effective in identifying high-risk patients suffering from MI at an early stage.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"100996"},"PeriodicalIF":5.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226359/pdf/","citationCount":"0","resultStr":"{\"title\":\"Data-Independent Acquisition Proteomics Identifies Plasma Prostaglandin-H2 D-Isomerase as an Early Diagnostic Biomarker for STEMI and NSTEMI.\",\"authors\":\"Hong-Mei Xue, Hai-Tao Hou, Yu Song, Huan-Xin Chen, Yun-Qiang Zhang, Wen-Tao Sun, Jie Zhou, Xiao-Lin Zhou, Na Sun, Qin Yang, Guo-Wei He\",\"doi\":\"10.1016/j.mcpro.2025.100996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Myocardial infarction (MI), including ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI), remains a leading cause of death worldwide. This study aimed to identify the early diagnostic biomarkers for STEMI and NSTEMI. Plasma samples from 386 patients were classified into four groups: control (CON) (n = 62), unstable angina (UA) (n = 62), STEMI (n = 182), and NSTEMI (n = 80). The protein profiles were analyzed using data-independent acquisition (DIA)-based proteomics to identify differentially abundant proteins (DAPs) followed by bioinformatics analysis and ELISA validation. In STEMI, 93 DAPs were detected. Among the selected DAPs that were further validated in a new cohort of patients, prostaglandin-H2 D-isomerase (PTGDS) was elevated at the earliest onset time of STEMI (T1, 1.45 h (95% CI: 1.16-1.73)) or NSTEMI (T1, 1.48 h (95% CI: 0.97-1.98)) while the current biomarkers (hs-TnI, Myo, CK-MB, and BNP) remained within normal ranges. The analysis of diagnostic indices for plasma PTGDS demonstrated a sensitivity of 63.95% and specificity of 65.38% in STEMI, 70% and 71.15% in NSTEMI. Moreover, AUC was 0.61 (95% CI: 0.53-0.69) in STEMI and 0.78 (95% CI: 0.70-0.86) in NSTEMI. The present study demonstrates that in patients with MI, plasma PTGDS increases at an earlier stage of onset time than the current biomarkers, with similar sensitivity and specificity. Therefore, PTGDS has high potential to be developed as an early diagnostic biomarker. In particular, PTGDS might be of greater clinical significance for patients suspected of NSTEMI, for which the biomarker could be more effective in identifying high-risk patients suffering from MI at an early stage.</p>\",\"PeriodicalId\":18712,\"journal\":{\"name\":\"Molecular & Cellular Proteomics\",\"volume\":\" \",\"pages\":\"100996\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226359/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular & Cellular Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.mcpro.2025.100996\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular & Cellular Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.mcpro.2025.100996","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Data-Independent Acquisition Proteomics Identifies Plasma Prostaglandin-H2 D-Isomerase as an Early Diagnostic Biomarker for STEMI and NSTEMI.
Myocardial infarction (MI), including ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI), remains a leading cause of death worldwide. This study aimed to identify the early diagnostic biomarkers for STEMI and NSTEMI. Plasma samples from 386 patients were classified into four groups: control (CON) (n = 62), unstable angina (UA) (n = 62), STEMI (n = 182), and NSTEMI (n = 80). The protein profiles were analyzed using data-independent acquisition (DIA)-based proteomics to identify differentially abundant proteins (DAPs) followed by bioinformatics analysis and ELISA validation. In STEMI, 93 DAPs were detected. Among the selected DAPs that were further validated in a new cohort of patients, prostaglandin-H2 D-isomerase (PTGDS) was elevated at the earliest onset time of STEMI (T1, 1.45 h (95% CI: 1.16-1.73)) or NSTEMI (T1, 1.48 h (95% CI: 0.97-1.98)) while the current biomarkers (hs-TnI, Myo, CK-MB, and BNP) remained within normal ranges. The analysis of diagnostic indices for plasma PTGDS demonstrated a sensitivity of 63.95% and specificity of 65.38% in STEMI, 70% and 71.15% in NSTEMI. Moreover, AUC was 0.61 (95% CI: 0.53-0.69) in STEMI and 0.78 (95% CI: 0.70-0.86) in NSTEMI. The present study demonstrates that in patients with MI, plasma PTGDS increases at an earlier stage of onset time than the current biomarkers, with similar sensitivity and specificity. Therefore, PTGDS has high potential to be developed as an early diagnostic biomarker. In particular, PTGDS might be of greater clinical significance for patients suspected of NSTEMI, for which the biomarker could be more effective in identifying high-risk patients suffering from MI at an early stage.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes