Plasma-based Raman spectroscopy for early detection of acute myocardial infarction in murine models
文献类型：期刊论文
| 作者 | Jia, Chengyou6; Duan, Chunyan2; Sun, Jing2; Chen, Shijun2; Wang, Zhengshi3; Sun, Lin4; Yang, Xiaoli6; Li, Xiankai1; Lv, Zhongwei5,6 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2025-12-10 |
| 卷号 | 16期号:1页码:12 |
| 关键词 | Acute myocardial infarction Raman spectroscopy Machine learning Plasma |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-025-30292-y |
| 通讯作者 | Li, Xiankai(lixiankai@tongji.edu.cn) ; Lv, Zhongwei(lvzwjs2020@163.com) |
| 英文摘要 | Acute myocardial infarction (AMI) is a leading cause of cardiovascular mortality. Current diagnostic dilemma suffers from limited sensitivity, insufficiently timely and effective specificity. To address this dilemma, Raman spectroscopy, a rapid and non-invasive technique with significant potential for plasma metabolic profiling, although AMI involves rapid metabolic alterations, diagnostic approaches based on plasma metabolites remain underexplored. In murine AMI model induced by coronary artery ligation, we acquired Raman spectra from ultrafiltered plasma samples 8 h post-surgery. We identified eight distinct Raman peaks, assigned to amino acids, lipids, and nucleic acids, which collectively differentiated AMI group (n = 27) from the Sham group (n = 27). To ensure optimal accuracy, we employed five different algorithms including SVM, LR, RF, LDA and PLS-DA to analyze the Raman spectra, both RF and LDA achieved the highest accuracy of 79.6%, specificity of 85.2%, and sensitivity of 74.1%. Furthermore, metabolomic analysis revealed significant down-regulation of most lipid classes, aligning with the downregulation observed in the Raman peaks at 2885 cm(-)(1) and 2940 cm(-)(1). These results demonstrate a high concordance between plasma metabolic profiling via Raman spectroscopy and MS analysis. The integration of Raman spectroscopy with machine learning has remarkable potential for the early and accurate diagnosis of AMI, offering a promising approach for clinical translation. |
| WOS关键词 | ASSAYS |
| 资助项目 | Clinical Research of Shanghai Tenth People's Hospital[YNCR2A013] ; Shanghai Shenkang Three-year Action Project[SHDC2020CR2054B] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001656486100002 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/322545]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Li, Xiankai; Lv, Zhongwei |
| 作者单位 | 1.Tongji Univ, Shanghai Peoples Hosp 10, Dept Cardiovasc Med, Sch Med, Shanghai 200072, Peoples R China 2.Tongji Univ, Sch Mech Engn, Dept Mech Engn, 4800 Caoan Highway, Shanghai 201804, Peoples R China 3.Tongji Univ, Shanghai Peoples Hosp 10, Sch Med, Dept Thyroid & Brest, Shanghai 200072, Peoples R China 4.Chinese Acad Sci, Shanghai Inst Mat Med, Mol Imaging Ctr, Shanghai 201203, Peoples R China 5.Fudan Univ, Shanghai Publ Hlth Clin Ctr, Shanghai 200003, Peoples R China 6.Tongji Univ, Inst Clin Mass Spectrometry Appl Res Ctr, Shanghai Peoples Hosp 10,Inst Nucl Med, Dept Nucl Med,Clin Nucl Med Ctr,Sch Med,Inst Nucl, Shanghai 200072, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Chengyou,Duan, Chunyan,Sun, Jing,et al. Plasma-based Raman spectroscopy for early detection of acute myocardial infarction in murine models[J]. SCIENTIFIC REPORTS,2025,16(1):12. |
| APA | Jia, Chengyou.,Duan, Chunyan.,Sun, Jing.,Chen, Shijun.,Wang, Zhengshi.,...&Lv, Zhongwei.(2025).Plasma-based Raman spectroscopy for early detection of acute myocardial infarction in murine models.SCIENTIFIC REPORTS,16(1),12. |
| MLA | Jia, Chengyou,et al."Plasma-based Raman spectroscopy for early detection of acute myocardial infarction in murine models".SCIENTIFIC REPORTS 16.1(2025):12. |
入库方式： OAI收割
来源：上海药物研究所
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