Molecular Patterns in Acute Pancreatitis Reflect Generalizable Endotypes of the Host Response to Systemic Injury in Humans

Lucile P. A. Neyton, Xiaozhong Zheng, Christos Skouras, Andrea Doeschl-Wilson, Michael U. Gutmann, Iain Uings, Francesco V. Rao, Armel Nicolas, Craig Marshall, Lisa-Marie Wilson, J. Kenneth Baillie (Lead / Corresponding author), Damian J. Mole (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Acute Pancreatitis (AP) is sudden onset pancreas inflammation that causes systemic injury with a wide and markedly heterogeneous range of clinical consequences. Here, we hypothesized that this observed clinical diversity corresponds to diversity in molecular subtypes that can be identified in clinical and multiomics data.

Summary Background Data: Observational cohort study. n = 57 for the discovery cohort (clinical, transcriptomics, proteomics, and metabolomics data) and n = 312 for the validation cohort (clinical and metabolomics data).

Methods: We integrated coincident transcriptomics, proteomics, and metabolomics data at serial time points between admission to hospital and up to 48 hours after recruitment from a cohort of patients presenting with acute pancreatitis. We systematically evaluated 4 different metrics for patient similarity using unbiased mathematical, biological, and clinical measures of internal and external validity.We next compared the AP molecular endotypes with previous descriptions of endotypes in a critically ill population with acute respiratory distress syndrome (ARDS).

Results: Our results identify 4 distinct and stable AP molecular endotypes. We validated our findings in a second independent cohort of patients with AP.We observed that 2 endotypes in AP recapitulate disease endotypes previously reported in ARDS.

Conclusions: Our results show that molecular endotypes exist in AP and reflect biological patterns that are also present in ARDS, suggesting that generalizable patterns exist in diverse presentations of critical illness.

Original languageEnglish
JournalAnnals of Surgery
DOIs
Publication statusE-pub ahead of print - 2 Jun 2020

Keywords

  • acute pancreatitis
  • cluster analysis
  • critical illness trajectory
  • endotypes
  • multiomics
  • time series

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