Robust Acute Pancreatitis Identification and Diagnosis: RAPIDx

Qingfu Zhu, Jiaxin Luo, Hui Ping Li, Wen Ye, Reguang Pan, Ke Qing Shi, Rui Yang, Hao Xu, Hengrui Li, Luke P. Lee, Fei Liu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)8564-8574
Number of pages11
JournalACS Nano
Volume17
Issue number9
DOIs
StatePublished - 9 May 2023

Bibliographical note

Publisher Copyright:
© 2023 American Chemical Society.

Keywords

  • acute pancreatitis diagnosis
  • exosomes
  • extracellular vesicles
  • protein fingerprints
  • proteomics

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