机器学习辅助促凝血细胞外囊泡条形码PEAB检测对肺癌患者血栓致死风险的高效评估

核心信息

• 论文英文标题: Machine-Learning-Assisted Procoagulant Extracellular Vesicle Barcode Assay toward High-Performance Evaluation of Thrombosis-Induced Death Risk in Cancer Patients
• 期刊: ACS Nano
• 发表年份: 2023
• DOI: 10.1021/acsnano.3c04615
• PMID/PMCID: 37791763

研究概览

From ordinary plasma samples, the PEVB assay can evaluate potential VTE risk by integrating TiNFs-based EV capture and in situ EV procoagulant ability test with machine-learning-assisted clinical data analysis. Unfortunately, the frequent misdiagnosis of VTE owing to the lack of accurate and efficient evaluation approaches may cause belated medical intervention and even sudden death.

核心发现

Venous thromboembolism (VTE) is the most fatal complication in cancer patients.

Unfortunately, the frequent misdiagnosis of VTE owing to the lack of accurate and efficient evaluation approaches may cause belated medical intervention and even sudden death.

Herein, we present a rapid, easily operable, highly specific, and highly sensitive procoagulant extracellular vesicle barcode (PEVB) assay composed of TiO2 nanoflower (TiNFs) for visually evaluating VTE risk in cancer patients.

TiNFs demonstrate rapid label-free EV capture capability by the synergetic effect of TiO2-phospholipids molecular interactions and topological interactions between TiNFs and EVs.

Echo Biotech 角色

FAM荧光标记人工EV & exosupur试剂盒

关联平台: Exoomics®, Research Reagents & Tools

关联服务与能力: Biofluid EV Isolation & Purification, EV Tracing & Uptake Analysis, Research Reagent / Product Supply

关联产品或试剂: Exosupur® EV Isolation/Purification Kit

参考文献

原始论文: Machine-Learning-Assisted Procoagulant Extracellular Vesicle Barcode Assay toward High-Performance Evaluation of Thrombosis-Induced Death Risk in Cancer Patients ACS Nano. 2023. DOI: 10.1021/acsnano.3c04615. PMID/PMCID: 37791763.