2019
DOI: 10.1101/539569
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Multiomic definition of generalizable endotypes in human acute pancreatitis

Abstract: 30Acute pancreatitis (AP) is sudden onset pancreas inflammation that causes multiple organ dysfunction syndrome (MODS) and death in certain individuals who develop AP yet minimal systemic inflammation in others. Here, we show that this observed diversity in systemic response and outcome is accompagnied by diversity in molecular subtypes that can be identified using computational analysis of clinical and multiomic data. We integrated co-incident whole blood transcriptomic, plasma proteomic, and serum metabolomi… Show more

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Cited by 5 publications
(6 citation statements)
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“…Neyton et al recently used unsupervised clustering of proteomic, transcriptomic, and metabolomic data to describe four subphenotypes of acute pancreatitis dubbed "hypermetabolic", "hepatopancreaticobiliary", "catabolic", and "innate immune". 64 The hypermetabolic subphenotype exhibited increased markers of glutathione synthesis, gastrointestinal metabolism of dopamine, the tricarboxylic acid cycle, and sphingolipid biosynthesis (e.g. g-glutamyl transferase 2 [GGT2], citrulline, and serine palmitoyltransferase subunit B [SPTSSB]); the hepatopancreaticobiliary subphenotype was associated with bilirubin glucuronidation and bile transporters; the catabolic subphenotype was associated with proteolysis and apoptosis; and the innate immune subphenotype was associated with complement regulation and immune cell adherence.…”
Section: Acute Pancreatitis Subphenotypesmentioning
confidence: 99%
See 1 more Smart Citation
“…Neyton et al recently used unsupervised clustering of proteomic, transcriptomic, and metabolomic data to describe four subphenotypes of acute pancreatitis dubbed "hypermetabolic", "hepatopancreaticobiliary", "catabolic", and "innate immune". 64 The hypermetabolic subphenotype exhibited increased markers of glutathione synthesis, gastrointestinal metabolism of dopamine, the tricarboxylic acid cycle, and sphingolipid biosynthesis (e.g. g-glutamyl transferase 2 [GGT2], citrulline, and serine palmitoyltransferase subunit B [SPTSSB]); the hepatopancreaticobiliary subphenotype was associated with bilirubin glucuronidation and bile transporters; the catabolic subphenotype was associated with proteolysis and apoptosis; and the innate immune subphenotype was associated with complement regulation and immune cell adherence.…”
Section: Acute Pancreatitis Subphenotypesmentioning
confidence: 99%
“…g-glutamyl transferase 2 [GGT2], citrulline, and serine palmitoyltransferase subunit B [SPTSSB]); the hepatopancreaticobiliary subphenotype was associated with bilirubin glucuronidation and bile transporters; the catabolic subphenotype was associated with proteolysis and apoptosis; and the innate immune subphenotype was associated with complement regulation and immune cell adherence. 64 Pancreatitis is a "late entry" to the field of critical care subphenotyping and while these results are interesting, they are based on small sample sizes and have not yet been subject to peer review. Whether or not these groupings are robust and clinically meaningful remains unanswered.…”
Section: Acute Pancreatitis Subphenotypesmentioning
confidence: 99%
“…In a study by Xiao et al (28), different injury mechanisms, trauma, burns, and endotoxemia yielded similarities in gene-expression patterns. Additionally, subclasses in acute pancreatitis may show similarities to those with ARDS (29). It is, therefore, likely that at least some of the molecular subclasses in sepsis will reflect general features of the host response to critical systemic injury.…”
Section: Defining Sepsis Subclasses From Clinical or Transcriptomic Datamentioning
confidence: 99%
“…These subphenotypes have distinct outcomes and, in retrospective analysis, have been shown to respond differently to several interventions. Related sub-phenotypes have also been identified in other conditions causing critical illness (Neyton et al, 2019;Vranas et al, 2017). However, the predominant clustering method employed in clinical cohorts, finite mixture modelling, is restricted in its applicability to preclinical studies, which are typically constrained to relatively small sample sizes (Dziak et al, 2014).…”
Section: Discussionmentioning
confidence: 99%