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Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses

Sepsis is a diagnostic and therapeutic challenge and is associated with morbidity and a high risk of death. Metabolomic and lipidomic profiling in sepsis can identify alterations in metabolism and might provide useful insights into the dysregulated host response to infection, but investigations in d...

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Autores principales: Montague, Brett, Summers, April, Bhawal, Ruchika, Anderson, Elizabeth T., Kraus-Malett, Sydney, Zhang, Sheng, Goggs, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269464/
https://www.ncbi.nlm.nih.gov/pubmed/35802586
http://dx.doi.org/10.1371/journal.pone.0271137
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author Montague, Brett
Summers, April
Bhawal, Ruchika
Anderson, Elizabeth T.
Kraus-Malett, Sydney
Zhang, Sheng
Goggs, Robert
author_facet Montague, Brett
Summers, April
Bhawal, Ruchika
Anderson, Elizabeth T.
Kraus-Malett, Sydney
Zhang, Sheng
Goggs, Robert
author_sort Montague, Brett
collection PubMed
description Sepsis is a diagnostic and therapeutic challenge and is associated with morbidity and a high risk of death. Metabolomic and lipidomic profiling in sepsis can identify alterations in metabolism and might provide useful insights into the dysregulated host response to infection, but investigations in dogs are limited. We aimed to use untargeted metabolomics and lipidomics to characterize metabolic pathways in dogs with sepsis to identify therapeutic targets and potential diagnostic and prognostic biomarkers. In this prospective observational cohort study, we examined the plasma metabolomes and lipidomes of 20 healthy control dogs and compared them with those of 21 client-owned dogs with sepsis. Patient data including signalment, physical exam findings, clinicopathologic data and clinical outcome were recorded. Metabolites were identified using an untargeted mass spectrometry approach and pathway analysis identified multiple enriched metabolic pathways including pyruvaldehyde degradation; ketone body metabolism; the glucose-alanine cycle; vitamin-K metabolism; arginine and betaine metabolism; the biosynthesis of various amino acid classes including the aromatic amino acids; branched chain amino acids; and metabolism of glutamine/glutamate and the glycerophospholipid phosphatidylethanolamine. Metabolites were identified with high discriminant abilities between groups which could serve as potential biomarkers of sepsis including 13,14-Dihydro-15-keto Prostaglandin A(2); 12(13)-DiHOME (12,13-dihydroxy-9Z-octadecenoic acid); and 9-HpODE (9-Hydroxyoctadecadienoic acid). Metabolites with higher abundance in samples from nonsurvivors than survivors included 3-(2-hydroxyethyl) indole, indoxyl sulfate and xanthurenic acid. Untargeted lipidomic profiling revealed multiple sphingomyelin species (SM(d34:0)+H; SM(d36:0)+H; SM(d34:0)+HCOO; and SM(d34:1D3)+HCOO); lysophosphatidylcholine molecules (LPC(18:2)+H) and lipophosphoserine molecules (LPS(20:4)+H) that were discriminating for dogs with sepsis. These biomarkers could aid in the diagnosis of dogs with sepsis, provide prognostic information, or act as potential therapeutic targets.
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spelling pubmed-92694642022-07-09 Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses Montague, Brett Summers, April Bhawal, Ruchika Anderson, Elizabeth T. Kraus-Malett, Sydney Zhang, Sheng Goggs, Robert PLoS One Research Article Sepsis is a diagnostic and therapeutic challenge and is associated with morbidity and a high risk of death. Metabolomic and lipidomic profiling in sepsis can identify alterations in metabolism and might provide useful insights into the dysregulated host response to infection, but investigations in dogs are limited. We aimed to use untargeted metabolomics and lipidomics to characterize metabolic pathways in dogs with sepsis to identify therapeutic targets and potential diagnostic and prognostic biomarkers. In this prospective observational cohort study, we examined the plasma metabolomes and lipidomes of 20 healthy control dogs and compared them with those of 21 client-owned dogs with sepsis. Patient data including signalment, physical exam findings, clinicopathologic data and clinical outcome were recorded. Metabolites were identified using an untargeted mass spectrometry approach and pathway analysis identified multiple enriched metabolic pathways including pyruvaldehyde degradation; ketone body metabolism; the glucose-alanine cycle; vitamin-K metabolism; arginine and betaine metabolism; the biosynthesis of various amino acid classes including the aromatic amino acids; branched chain amino acids; and metabolism of glutamine/glutamate and the glycerophospholipid phosphatidylethanolamine. Metabolites were identified with high discriminant abilities between groups which could serve as potential biomarkers of sepsis including 13,14-Dihydro-15-keto Prostaglandin A(2); 12(13)-DiHOME (12,13-dihydroxy-9Z-octadecenoic acid); and 9-HpODE (9-Hydroxyoctadecadienoic acid). Metabolites with higher abundance in samples from nonsurvivors than survivors included 3-(2-hydroxyethyl) indole, indoxyl sulfate and xanthurenic acid. Untargeted lipidomic profiling revealed multiple sphingomyelin species (SM(d34:0)+H; SM(d36:0)+H; SM(d34:0)+HCOO; and SM(d34:1D3)+HCOO); lysophosphatidylcholine molecules (LPC(18:2)+H) and lipophosphoserine molecules (LPS(20:4)+H) that were discriminating for dogs with sepsis. These biomarkers could aid in the diagnosis of dogs with sepsis, provide prognostic information, or act as potential therapeutic targets. Public Library of Science 2022-07-08 /pmc/articles/PMC9269464/ /pubmed/35802586 http://dx.doi.org/10.1371/journal.pone.0271137 Text en © 2022 Montague et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Montague, Brett
Summers, April
Bhawal, Ruchika
Anderson, Elizabeth T.
Kraus-Malett, Sydney
Zhang, Sheng
Goggs, Robert
Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title_full Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title_fullStr Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title_full_unstemmed Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title_short Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
title_sort identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269464/
https://www.ncbi.nlm.nih.gov/pubmed/35802586
http://dx.doi.org/10.1371/journal.pone.0271137
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