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Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model

Apicomplexan infections, such as giardiasis and cryptosporidiosis, negatively impact a considerable proportion of human and commercial livestock populations. Despite this, the molecular mechanisms of disease, particularly the effect on the body beyond the gastrointestinal tract, are still poorly und...

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Autores principales: Karpe, Avinash V., Hutton, Melanie L., Mileto, Steven J., James, Meagan L., Evans, Chris, Ghodke, Amol B., Shah, Rohan M., Metcalfe, Suzanne S., Liu, Jian-Wei, Walsh, Tom, Lyras, Dena, Palombo, Enzo A., Beale, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862352/
https://www.ncbi.nlm.nih.gov/pubmed/36675151
http://dx.doi.org/10.3390/ijms24021636
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author Karpe, Avinash V.
Hutton, Melanie L.
Mileto, Steven J.
James, Meagan L.
Evans, Chris
Ghodke, Amol B.
Shah, Rohan M.
Metcalfe, Suzanne S.
Liu, Jian-Wei
Walsh, Tom
Lyras, Dena
Palombo, Enzo A.
Beale, David J.
author_facet Karpe, Avinash V.
Hutton, Melanie L.
Mileto, Steven J.
James, Meagan L.
Evans, Chris
Ghodke, Amol B.
Shah, Rohan M.
Metcalfe, Suzanne S.
Liu, Jian-Wei
Walsh, Tom
Lyras, Dena
Palombo, Enzo A.
Beale, David J.
author_sort Karpe, Avinash V.
collection PubMed
description Apicomplexan infections, such as giardiasis and cryptosporidiosis, negatively impact a considerable proportion of human and commercial livestock populations. Despite this, the molecular mechanisms of disease, particularly the effect on the body beyond the gastrointestinal tract, are still poorly understood. To highlight host–parasite–microbiome biochemical interactions, we utilised integrated metabolomics-16S rRNA genomics and metabolomics–proteomics approaches in a C57BL/6J mouse model of giardiasis and compared these to Cryptosporidium and uropathogenic Escherichia coli (UPEC) infections. Comprehensive samples (faeces, blood, liver, and luminal contents from duodenum, jejunum, ileum, caecum and colon) were collected 10 days post infection and subjected to proteome and metabolome analysis by liquid and gas chromatography–mass spectrometry, respectively. Microbial populations in faeces and luminal washes were examined using 16S rRNA metagenomics. Proteome–metabolome analyses indicated that 12 and 16 key pathways were significantly altered in the gut and liver, respectively, during giardiasis with respect to other infections. Energy pathways including glycolysis and supporting pathways of glyoxylate and dicarboxylate metabolism, and the redox pathway of glutathione metabolism, were upregulated in small intestinal luminal contents and the liver during giardiasis. Metabolomics-16S rRNA genetics integration indicated that populations of three bacterial families—Autopobiaceae (Up), Desulfovibrionaceae (Up), and Akkermanasiaceae (Down)—were most significantly affected across the gut during giardiasis, causing upregulated glycolysis and short-chained fatty acid (SCFA) metabolism. In particular, the perturbed Akkermanasiaceae population seemed to cause oxidative stress responses along the gut–liver axis. Overall, the systems biology approach applied in this study highlighted that the effects of host–parasite–microbiome biochemical interactions extended beyond the gut ecosystem to the gut–liver axis. These findings form the first steps in a comprehensive comparison to ascertain the major molecular and biochemical contributors of host–parasite interactions and contribute towards the development of biomarker discovery and precision health solutions for apicomplexan infections.
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spelling pubmed-98623522023-01-22 Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model Karpe, Avinash V. Hutton, Melanie L. Mileto, Steven J. James, Meagan L. Evans, Chris Ghodke, Amol B. Shah, Rohan M. Metcalfe, Suzanne S. Liu, Jian-Wei Walsh, Tom Lyras, Dena Palombo, Enzo A. Beale, David J. Int J Mol Sci Article Apicomplexan infections, such as giardiasis and cryptosporidiosis, negatively impact a considerable proportion of human and commercial livestock populations. Despite this, the molecular mechanisms of disease, particularly the effect on the body beyond the gastrointestinal tract, are still poorly understood. To highlight host–parasite–microbiome biochemical interactions, we utilised integrated metabolomics-16S rRNA genomics and metabolomics–proteomics approaches in a C57BL/6J mouse model of giardiasis and compared these to Cryptosporidium and uropathogenic Escherichia coli (UPEC) infections. Comprehensive samples (faeces, blood, liver, and luminal contents from duodenum, jejunum, ileum, caecum and colon) were collected 10 days post infection and subjected to proteome and metabolome analysis by liquid and gas chromatography–mass spectrometry, respectively. Microbial populations in faeces and luminal washes were examined using 16S rRNA metagenomics. Proteome–metabolome analyses indicated that 12 and 16 key pathways were significantly altered in the gut and liver, respectively, during giardiasis with respect to other infections. Energy pathways including glycolysis and supporting pathways of glyoxylate and dicarboxylate metabolism, and the redox pathway of glutathione metabolism, were upregulated in small intestinal luminal contents and the liver during giardiasis. Metabolomics-16S rRNA genetics integration indicated that populations of three bacterial families—Autopobiaceae (Up), Desulfovibrionaceae (Up), and Akkermanasiaceae (Down)—were most significantly affected across the gut during giardiasis, causing upregulated glycolysis and short-chained fatty acid (SCFA) metabolism. In particular, the perturbed Akkermanasiaceae population seemed to cause oxidative stress responses along the gut–liver axis. Overall, the systems biology approach applied in this study highlighted that the effects of host–parasite–microbiome biochemical interactions extended beyond the gut ecosystem to the gut–liver axis. These findings form the first steps in a comprehensive comparison to ascertain the major molecular and biochemical contributors of host–parasite interactions and contribute towards the development of biomarker discovery and precision health solutions for apicomplexan infections. MDPI 2023-01-13 /pmc/articles/PMC9862352/ /pubmed/36675151 http://dx.doi.org/10.3390/ijms24021636 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Karpe, Avinash V.
Hutton, Melanie L.
Mileto, Steven J.
James, Meagan L.
Evans, Chris
Ghodke, Amol B.
Shah, Rohan M.
Metcalfe, Suzanne S.
Liu, Jian-Wei
Walsh, Tom
Lyras, Dena
Palombo, Enzo A.
Beale, David J.
Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title_full Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title_fullStr Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title_full_unstemmed Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title_short Gut Microbial Perturbation and Host Response Induce Redox Pathway Upregulation along the Gut–Liver Axis during Giardiasis in C57BL/6J Mouse Model
title_sort gut microbial perturbation and host response induce redox pathway upregulation along the gut–liver axis during giardiasis in c57bl/6j mouse model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862352/
https://www.ncbi.nlm.nih.gov/pubmed/36675151
http://dx.doi.org/10.3390/ijms24021636
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