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Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment

BACKGROUND: IFN-γ is a pleiotropic cytokine that has been shown to affect multiple cellular functions of bovine mammary epithelial cells (BMECs) including impaired milk fat synthesis and induction of malignant transformation via depletion of arginine, one of host conditionally essential amino acids....

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Autores principales: Li, Fengyang, Hu, Xiuhong, Wu, Zengshuai, Yang, Qiulei, Sa, Qila, Ren, Wenbo, Wang, Tingting, Ji, Zhengchao, Li, Na, Huang, Jing, Lei, Liancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921584/
https://www.ncbi.nlm.nih.gov/pubmed/36765367
http://dx.doi.org/10.1186/s12917-023-03588-2
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author Li, Fengyang
Hu, Xiuhong
Wu, Zengshuai
Yang, Qiulei
Sa, Qila
Ren, Wenbo
Wang, Tingting
Ji, Zhengchao
Li, Na
Huang, Jing
Lei, Liancheng
author_facet Li, Fengyang
Hu, Xiuhong
Wu, Zengshuai
Yang, Qiulei
Sa, Qila
Ren, Wenbo
Wang, Tingting
Ji, Zhengchao
Li, Na
Huang, Jing
Lei, Liancheng
author_sort Li, Fengyang
collection PubMed
description BACKGROUND: IFN-γ is a pleiotropic cytokine that has been shown to affect multiple cellular functions of bovine mammary epithelial cells (BMECs) including impaired milk fat synthesis and induction of malignant transformation via depletion of arginine, one of host conditionally essential amino acids. But the molecular mechanisms of these IFN-γ induced phenotypes are still unknown. METHODS: BMECs were treated with IFN-γ for 6 h, 12 h, and 24 h. The metabolomic profiling in BMECs upon IFN-γ induction were assessed using untargeted ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) metabolomic analysis. Key differentially expressed metabolites (DEMs) were quantified by targeted metabolomics. RESULTS: IFN-γ induction resulted in significant differences in the contents of metabolites. Untargeted analysis identified 221 significantly DEMs, most of which are lipids and lipid-like molecules, organic acids and derivatives, organ heterocyclic compounds and benzenoids. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, DEMs were enriched in fructose and mannose metabolism, phosphotransferase system (PTS), β-alanine metabolism, arginine and proline metabolism, methane metabolism, phenylalanine metabolism, and glycolysis/gluconeogenesis. Quantification of selected key DEMs by targeted metabolomics showed significantly decreased levels of D-(-)-mannitol, argininosuccinate, and phenylacetylglycine (PAG), while increased levels in S-hydroxymethylglutathione (S-HMG) and 2,3-bisphospho-D-glyceric acid (2,3-BPG). CONCLUSIONS: These results provide insights into the metabolic alterations in BMECs upon IFN-γ induction and indicate potential theoretical basis for clarifying IFN-γ-induced diseases in mammary gland. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12917-023-03588-2.
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spelling pubmed-99215842023-02-12 Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment Li, Fengyang Hu, Xiuhong Wu, Zengshuai Yang, Qiulei Sa, Qila Ren, Wenbo Wang, Tingting Ji, Zhengchao Li, Na Huang, Jing Lei, Liancheng BMC Vet Res Research BACKGROUND: IFN-γ is a pleiotropic cytokine that has been shown to affect multiple cellular functions of bovine mammary epithelial cells (BMECs) including impaired milk fat synthesis and induction of malignant transformation via depletion of arginine, one of host conditionally essential amino acids. But the molecular mechanisms of these IFN-γ induced phenotypes are still unknown. METHODS: BMECs were treated with IFN-γ for 6 h, 12 h, and 24 h. The metabolomic profiling in BMECs upon IFN-γ induction were assessed using untargeted ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) metabolomic analysis. Key differentially expressed metabolites (DEMs) were quantified by targeted metabolomics. RESULTS: IFN-γ induction resulted in significant differences in the contents of metabolites. Untargeted analysis identified 221 significantly DEMs, most of which are lipids and lipid-like molecules, organic acids and derivatives, organ heterocyclic compounds and benzenoids. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, DEMs were enriched in fructose and mannose metabolism, phosphotransferase system (PTS), β-alanine metabolism, arginine and proline metabolism, methane metabolism, phenylalanine metabolism, and glycolysis/gluconeogenesis. Quantification of selected key DEMs by targeted metabolomics showed significantly decreased levels of D-(-)-mannitol, argininosuccinate, and phenylacetylglycine (PAG), while increased levels in S-hydroxymethylglutathione (S-HMG) and 2,3-bisphospho-D-glyceric acid (2,3-BPG). CONCLUSIONS: These results provide insights into the metabolic alterations in BMECs upon IFN-γ induction and indicate potential theoretical basis for clarifying IFN-γ-induced diseases in mammary gland. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12917-023-03588-2. BioMed Central 2023-02-11 /pmc/articles/PMC9921584/ /pubmed/36765367 http://dx.doi.org/10.1186/s12917-023-03588-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Fengyang
Hu, Xiuhong
Wu, Zengshuai
Yang, Qiulei
Sa, Qila
Ren, Wenbo
Wang, Tingting
Ji, Zhengchao
Li, Na
Huang, Jing
Lei, Liancheng
Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title_full Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title_fullStr Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title_full_unstemmed Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title_short Untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon IFN-γ treatment
title_sort untargeted metabolomics reveals alternations in metabolism of bovine mammary epithelial cells upon ifn-γ treatment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921584/
https://www.ncbi.nlm.nih.gov/pubmed/36765367
http://dx.doi.org/10.1186/s12917-023-03588-2
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