Blood Metabolomic Signatures to Identify Bacterial Infection in Patients with Decompensated Cirrhosis.
Journal
Journal of gastrointestinal and liver diseases : JGLD
ISSN: 1842-1121
Titre abrégé: J Gastrointestin Liver Dis
Pays: Romania
ID NLM: 101272825
Informations de publication
Date de publication:
19 03 2022
19 03 2022
Historique:
received:
24
09
2021
accepted:
27
01
2022
entrez:
20
3
2022
pubmed:
21
3
2022
medline:
28
4
2022
Statut:
epublish
Résumé
Bacterial infections are associated with high mortality rates in patients with decompensated cirrhosis. Early diagnosis with the available diagnostic tools is challenging. Metabolomics is a novel technique with a widespread application in hepatology. The aims of our study were to find new biomarkers for decompensated cirrhosis and for those with overlapping bacterial infections. 43 patients with compensated and 54 patients with decompensated cirrhosis were enrolled in the study. In patients with decompensation, a complete infectious workup was performed at admission. Blood and ascitic fluid were collected and stored at -80° C until performing the metabolomic analysis. Statistical analysis was performed using the Metaboanalyst 4.0 software. 36 patients (66%) in the decompensated group were infected. Among them, 15 had multiple infections; thus, finally, 52 infections were diagnosed. The main metabolic pathways affected in patients with decompensated cirrhosis were those related to lipid metabolism, involving acylcarnitines, stearic acid derivatives, and 12/15 HETE-GABA. N-oleoyl ethanolamine was the most promising biomarker for bacterial infection diagnosis. Moreover, prostaglandin E2/D2/H2 and N-oleoyl alanine levels were higher in Gram- positive infections and ceramides (d16:2/18:0), in Gram-negative infections, respectively. L-phenylalanine (m/z=166.09) and lysophosphatidylethanolamine (18:3/0:0) were the two most relevant identified ascitic biomarkers for spontaneous bacterial peritonitis diagnosis. The lipid and energetic metabolic pathways were the most affected in patients with decompensated cirrhosis and those with overlapping infections.
Sections du résumé
BACKGROUND AND AIMS
Bacterial infections are associated with high mortality rates in patients with decompensated cirrhosis. Early diagnosis with the available diagnostic tools is challenging. Metabolomics is a novel technique with a widespread application in hepatology. The aims of our study were to find new biomarkers for decompensated cirrhosis and for those with overlapping bacterial infections.
METHODS
43 patients with compensated and 54 patients with decompensated cirrhosis were enrolled in the study. In patients with decompensation, a complete infectious workup was performed at admission. Blood and ascitic fluid were collected and stored at -80° C until performing the metabolomic analysis. Statistical analysis was performed using the Metaboanalyst 4.0 software.
RESULTS
36 patients (66%) in the decompensated group were infected. Among them, 15 had multiple infections; thus, finally, 52 infections were diagnosed. The main metabolic pathways affected in patients with decompensated cirrhosis were those related to lipid metabolism, involving acylcarnitines, stearic acid derivatives, and 12/15 HETE-GABA. N-oleoyl ethanolamine was the most promising biomarker for bacterial infection diagnosis. Moreover, prostaglandin E2/D2/H2 and N-oleoyl alanine levels were higher in Gram- positive infections and ceramides (d16:2/18:0), in Gram-negative infections, respectively. L-phenylalanine (m/z=166.09) and lysophosphatidylethanolamine (18:3/0:0) were the two most relevant identified ascitic biomarkers for spontaneous bacterial peritonitis diagnosis.
CONCLUSIONS
The lipid and energetic metabolic pathways were the most affected in patients with decompensated cirrhosis and those with overlapping infections.
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM