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Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin
Gram-negative bacteria have a well-known impact on the disease state of neonatal calves and their mortality. This study was the first to implement untargeted metabolomics on calves’ fecal samples to unravel the effect of Gram-negative bacterial endotoxin lipopolysaccharide (LPS). In this context, ca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918135/ https://www.ncbi.nlm.nih.gov/pubmed/33668448 http://dx.doi.org/10.3390/metabo11020108 |
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author | Kamel Oroumieh, Saeid Naserian, Abbas Ali Van Meulebroek, Lieven De Paepe, Ellen Valizadeh, Reza Vanhaecke, Lynn |
author_facet | Kamel Oroumieh, Saeid Naserian, Abbas Ali Van Meulebroek, Lieven De Paepe, Ellen Valizadeh, Reza Vanhaecke, Lynn |
author_sort | Kamel Oroumieh, Saeid |
collection | PubMed |
description | Gram-negative bacteria have a well-known impact on the disease state of neonatal calves and their mortality. This study was the first to implement untargeted metabolomics on calves’ fecal samples to unravel the effect of Gram-negative bacterial endotoxin lipopolysaccharide (LPS). In this context, calves were challenged with LPS and administered with fish oil, nanocurcumin, or dexamethasone to evaluate treatment effects. Ultra-high-performance liquid-chromatography high-resolution mass spectrometry (UHPLC-HRMS) was employed to map fecal metabolic fingerprints from the various groups before and after LPS challenge. Based on the generated fingerprints, including 9650 unique feature ions, significant separation according to LPS group was achieved through orthogonal partial least squares discriminant analysis (Q(2) of 0.57 and p-value of 0.022), which allowed the selection of 37 metabolites as bacterial endotoxin markers. Tentative identification of these markers suggested that the majority belonged to the subclass of the carboxylic acid derivatives—amino acids, peptides, and analogs—and fatty amides, with these subclasses playing a role in the metabolism of steroids, histidine, glutamate, and folate. Biological interpretations supported the revealed markers’ potential to aid in disease diagnosis, whereas beneficial effects were observed following dexamethasone, fish oil, and nanocurcumin treatment. |
format | Online Article Text |
id | pubmed-7918135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79181352021-03-02 Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin Kamel Oroumieh, Saeid Naserian, Abbas Ali Van Meulebroek, Lieven De Paepe, Ellen Valizadeh, Reza Vanhaecke, Lynn Metabolites Article Gram-negative bacteria have a well-known impact on the disease state of neonatal calves and their mortality. This study was the first to implement untargeted metabolomics on calves’ fecal samples to unravel the effect of Gram-negative bacterial endotoxin lipopolysaccharide (LPS). In this context, calves were challenged with LPS and administered with fish oil, nanocurcumin, or dexamethasone to evaluate treatment effects. Ultra-high-performance liquid-chromatography high-resolution mass spectrometry (UHPLC-HRMS) was employed to map fecal metabolic fingerprints from the various groups before and after LPS challenge. Based on the generated fingerprints, including 9650 unique feature ions, significant separation according to LPS group was achieved through orthogonal partial least squares discriminant analysis (Q(2) of 0.57 and p-value of 0.022), which allowed the selection of 37 metabolites as bacterial endotoxin markers. Tentative identification of these markers suggested that the majority belonged to the subclass of the carboxylic acid derivatives—amino acids, peptides, and analogs—and fatty amides, with these subclasses playing a role in the metabolism of steroids, histidine, glutamate, and folate. Biological interpretations supported the revealed markers’ potential to aid in disease diagnosis, whereas beneficial effects were observed following dexamethasone, fish oil, and nanocurcumin treatment. MDPI 2021-02-13 /pmc/articles/PMC7918135/ /pubmed/33668448 http://dx.doi.org/10.3390/metabo11020108 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kamel Oroumieh, Saeid Naserian, Abbas Ali Van Meulebroek, Lieven De Paepe, Ellen Valizadeh, Reza Vanhaecke, Lynn Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title | Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title_full | Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title_fullStr | Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title_full_unstemmed | Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title_short | Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin |
title_sort | metabolic fingerprinting of feces from calves, subjected to gram-negative bacterial endotoxin |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918135/ https://www.ncbi.nlm.nih.gov/pubmed/33668448 http://dx.doi.org/10.3390/metabo11020108 |
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