TY - JOUR
T1 - Robust Acute Pancreatitis Identification and Diagnosis
T2 - RAPIDx
AU - Zhu, Qingfu
AU - Luo, Jiaxin
AU - Li, Hui Ping
AU - Ye, Wen
AU - Pan, Reguang
AU - Shi, Ke Qing
AU - Yang, Rui
AU - Xu, Hao
AU - Li, Hengrui
AU - Lee, Luke P.
AU - Liu, Fei
N1 - Publisher Copyright:
© 2023 American Chemical Society.
PY - 2023/5/9
Y1 - 2023/5/9
N2 - 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 (i.e., 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 m/z), 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.
AB - 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 (i.e., 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 m/z), 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.
KW - acute pancreatitis diagnosis
KW - exosomes
KW - extracellular vesicles
KW - protein fingerprints
KW - proteomics
UR - http://www.scopus.com/inward/record.url?scp=85151394587&partnerID=8YFLogxK
U2 - 10.1021/acsnano.3c00922
DO - 10.1021/acsnano.3c00922
M3 - Article
C2 - 36988967
AN - SCOPUS:85151394587
SN - 1936-0851
VL - 17
SP - 8564
EP - 8574
JO - ACS Nano
JF - ACS Nano
IS - 9
ER -