Zhu Qingfu, Luo Jiaxin, Li Hui-Ping, Ye Wen, Pan Reguang, Shi Ke-Qing, Yang Rui, Xu Hao, Li Hengrui, Lee Luke P, Liu Fei
National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
ACS Nano. 2023 May 9;17(9):8564-8574. doi: 10.1021/acsnano.3c00922. Epub 2023 Mar 29.
The occurrence of acute pancreatitis (AP) is increasing significantly worldwide. However, current diagnostic methods of AP do not provide a clear clinical stratification of severity, and the prediction of complications in AP is still limited. Here, we present a robust AP identification and diagnosis (RAPIDx) method by the proteomic fingerprinting of intact nanoscale extracellular vesicles (EVs) from clinical samples. By tracking analysis of circulating biological nanoparticles released by cells (, EVs) via bottom-up proteomics, we obtain close phenotype connections between EVs, cell types, and multiple tissues based on their specific proteomes and identify the serum amyloid A (SAA) proteins on EVs as potential biomarkers that are differentially expressed from AP patients significantly. We accomplish the quantitative analysis of EVs fingerprints using MALDI-TOF MS and find the SAA proteins (SAA1-1, desR-SAA1-2, SAA2, SAA1-2) with areas under the curve (AUCs) from 0.92 to 0.97, which allows us to detect AP within 30 min. We further realize that SAA1-1 and SAA2, combined with two protein peaks (5290.19, 14032.33 /), can achieve an AUC of 0.83 for classifying the severity of AP. The RAPIDx platform will facilitate timely diagnosis and treatment of AP before severity development and persistent organ failure and promote precision diagnostics and the early diagnosis of pancreatic cancer.
急性胰腺炎(AP)的发病率在全球范围内显著上升。然而,目前AP的诊断方法并未提供明确的临床严重程度分层,且对AP并发症的预测仍有限。在此,我们通过对临床样本中完整纳米级细胞外囊泡(EVs)进行蛋白质组指纹分析,提出了一种强大的AP识别与诊断(RAPIDx)方法。通过自下而上的蛋白质组学对细胞释放的循环生物纳米颗粒(即EVs)进行追踪分析,我们基于其特定蛋白质组获得了EVs、细胞类型和多个组织之间紧密的表型联系,并将EVs上的血清淀粉样蛋白A(SAA)蛋白鉴定为与AP患者有显著差异表达的潜在生物标志物。我们使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)完成了EVs指纹的定量分析,发现曲线下面积(AUC)为0.92至0.97的SAA蛋白(SAA1-1、desR-SAA1-2、SAA2、SAA1-2),这使我们能够在30分钟内检测出AP。我们进一步认识到,SAA1-1和SAA2与两个蛋白峰(5290.19、14032.33 /)相结合,对AP严重程度分类的AUC可达0.83。RAPIDx平台将有助于在AP严重程度发展和持续性器官衰竭之前及时进行诊断和治疗,并促进精准诊断以及胰腺癌的早期诊断。