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Lipidomics analysis reveals new insights into the goose fatty liver formation

Our previous study described the mechanism of goose fatty liver formation from cell culture and transcriptome. However, how lipidome of goose liver response to overfeeding is unclear. In this study, we used the same batch of geese (control group and corn flour overfeeding group) to explore the lipid...

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Autores principales: Wei, Rongxue, Ning, Rong, Han, Chunchun, Wei, Shouhai, Teng, Yongqiang, Li, Liang, Liu, Hehe, Hu, Shengqiang, Kang, Bo, Xu, Hengyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811251/
https://www.ncbi.nlm.nih.gov/pubmed/36586388
http://dx.doi.org/10.1016/j.psj.2022.102428
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author Wei, Rongxue
Ning, Rong
Han, Chunchun
Wei, Shouhai
Teng, Yongqiang
Li, Liang
Liu, Hehe
Hu, Shengqiang
Kang, Bo
Xu, Hengyong
author_facet Wei, Rongxue
Ning, Rong
Han, Chunchun
Wei, Shouhai
Teng, Yongqiang
Li, Liang
Liu, Hehe
Hu, Shengqiang
Kang, Bo
Xu, Hengyong
author_sort Wei, Rongxue
collection PubMed
description Our previous study described the mechanism of goose fatty liver formation from cell culture and transcriptome. However, how lipidome of goose liver response to overfeeding is unclear. In this study, we used the same batch of geese (control group and corn flour overfeeding group) to explore the lipidome changes and underlying metabolic mechanisms of goose fatty liver formation. Liquid chromatography-mass spectrometry (LC-MS) was provided to lipidome detection. Liver lipidomics profiles analysis was performed by principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), different lipids were identified and annotated, and the enriched metabolic pathways were showed. The results of PCA, PLS-DA, and OPLS-DA displayed a clear separation and discrimination between control group and corn flour overfeeding group. Two hundred and fifty-one different lipids were yielded, which were involved in triglyceride (TG), diglyceride (DG), phosphatidic acids (PA), phosphatidylinositols (PI), phosphatidylethanolamines (PE), phosphatidylcholines (PC), lyso-phosphatidylcholines (LPC), monogalactosylmonoacylglycerol (MGMG), sphingolipids (SM), ceramides (Cer), and hexaglycosylceramides (Hex1Cer). Different lipids were enriched in glycerophospholipid metabolism, glycerolipid metabolism, phosphatidylinositol signaling system, inositol phosphate metabolism, glycosylphosphatidylinositol (GPI)-anchor biosynthesis and sphingolipid metabolism. In conclusion, this is the first report describing the goose fatty liver formation from lipidomics, this study might provide some insights into the underlying glucolipid metabolism disorders in the process of fatty liver formation.
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spelling pubmed-98112512023-01-05 Lipidomics analysis reveals new insights into the goose fatty liver formation Wei, Rongxue Ning, Rong Han, Chunchun Wei, Shouhai Teng, Yongqiang Li, Liang Liu, Hehe Hu, Shengqiang Kang, Bo Xu, Hengyong Poult Sci PHYSIOLOGY AND REPRODUCTION Our previous study described the mechanism of goose fatty liver formation from cell culture and transcriptome. However, how lipidome of goose liver response to overfeeding is unclear. In this study, we used the same batch of geese (control group and corn flour overfeeding group) to explore the lipidome changes and underlying metabolic mechanisms of goose fatty liver formation. Liquid chromatography-mass spectrometry (LC-MS) was provided to lipidome detection. Liver lipidomics profiles analysis was performed by principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), different lipids were identified and annotated, and the enriched metabolic pathways were showed. The results of PCA, PLS-DA, and OPLS-DA displayed a clear separation and discrimination between control group and corn flour overfeeding group. Two hundred and fifty-one different lipids were yielded, which were involved in triglyceride (TG), diglyceride (DG), phosphatidic acids (PA), phosphatidylinositols (PI), phosphatidylethanolamines (PE), phosphatidylcholines (PC), lyso-phosphatidylcholines (LPC), monogalactosylmonoacylglycerol (MGMG), sphingolipids (SM), ceramides (Cer), and hexaglycosylceramides (Hex1Cer). Different lipids were enriched in glycerophospholipid metabolism, glycerolipid metabolism, phosphatidylinositol signaling system, inositol phosphate metabolism, glycosylphosphatidylinositol (GPI)-anchor biosynthesis and sphingolipid metabolism. In conclusion, this is the first report describing the goose fatty liver formation from lipidomics, this study might provide some insights into the underlying glucolipid metabolism disorders in the process of fatty liver formation. Elsevier 2022-12-15 /pmc/articles/PMC9811251/ /pubmed/36586388 http://dx.doi.org/10.1016/j.psj.2022.102428 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle PHYSIOLOGY AND REPRODUCTION
Wei, Rongxue
Ning, Rong
Han, Chunchun
Wei, Shouhai
Teng, Yongqiang
Li, Liang
Liu, Hehe
Hu, Shengqiang
Kang, Bo
Xu, Hengyong
Lipidomics analysis reveals new insights into the goose fatty liver formation
title Lipidomics analysis reveals new insights into the goose fatty liver formation
title_full Lipidomics analysis reveals new insights into the goose fatty liver formation
title_fullStr Lipidomics analysis reveals new insights into the goose fatty liver formation
title_full_unstemmed Lipidomics analysis reveals new insights into the goose fatty liver formation
title_short Lipidomics analysis reveals new insights into the goose fatty liver formation
title_sort lipidomics analysis reveals new insights into the goose fatty liver formation
topic PHYSIOLOGY AND REPRODUCTION
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811251/
https://www.ncbi.nlm.nih.gov/pubmed/36586388
http://dx.doi.org/10.1016/j.psj.2022.102428
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