Novel Metabolites Are Associated With Thrombosis After Cardiac Surgery in Children With Congenital Heart Disease

Shengxu Li, Dave Watson, Alissa Jorgenson, Zainab Adelekan, Weihong Tang, Kathleen Garland, Leah Zupancich, David Dassenko, R. Erik Edens, David M. Overman, Marnie T. Huntley

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

BACKGROUND: Thrombosis is a major complication after cardiac surgery in children with congenital heart disease. The mechanisms underlying thrombosis development remain poorly understood. We aimed to identify novel circulating metabolites before cardiac surgery that are associated with thrombosis after surgery in children with congenital heart disease. METHODS: In this prospective cohort study, all blood samples were drawn right before surgical incision and after the induction of anesthesia, and plasma was separated immediately under 4 °C. Untargeted metabolomic data were measured by Metabolon in plasma from children (age range, 0 days-18 years) with congenital heart disease undergoing cardiac surgery. The primary outcome was thrombosis within 30 days of surgery or before discharge. Associations of individual metabolites with thrombosis were assessed with logistic regression with false discovery rate correction for multiple comparison and adjustment for clinical characteristics; elastic net regression was used to select a prediction model. RESULTS: Out of 1115 metabolites measured in samples from 203 children, 776 met the quality control criteria. In total, 25 children (12.3%) developed thrombosis. Among the 776 metabolites, 175 were significantly associated with thrombosis (false discovery rate Q<0.05). The top 3 metabolites showing the strongest associations with thrombosis were eicosapentaenoate, stearidonate, and andro steroid monosulfate C19H28O6S (false discovery rate, 0.01 for all). Pathway analysis showed that the pathways of nicotinate and nicotinamide metabolism and glycerophospholipid metabolism were enriched (false discovery rate, 0.003 for both) and had significant impact on the development of thrombosis. In elastic net regression analysis, the area under the receiver operating-characteristic curve of a prediction model for thrombosis was 0.969 in the training sample (70% of the total sample) and 0.833 in the testing sample (the remaining 30%). CONCLUSIONS: We have identified promising novel metabolites and metabolic pathways associated with thrombosis. Future studies are warranted to confirm these findings and examine the mechanistic pathways to thrombosis.

Original languageEnglish (US)
Pages (from-to)2231-2239
Number of pages9
JournalArteriosclerosis, thrombosis, and vascular biology
Volume43
Issue number11
DOIs
StatePublished - Nov 1 2023

Bibliographical note

Publisher Copyright:
© 2023 Lippincott Williams and Wilkins. All rights reserved.

Keywords

  • congenital heart defects
  • metabolomics
  • pediatrics
  • thoracic surgery
  • thrombosis

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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