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Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis
BACKGROUND: Sepsis is defined as a systemic inflammatory response to microbial infections with multiple organ dysfunction. This study analysed untargeted metabolomics combined with proteomics of serum from patients with sepsis to reveal the underlying pathological mechanisms involved in sepsis. METH...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919526/ https://www.ncbi.nlm.nih.gov/pubmed/35287674 http://dx.doi.org/10.1186/s12967-022-03320-y |
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author | Chen, Qi Liang, Xi Wu, Tianzhou Jiang, Jing Jiang, Yongpo Zhang, Sheng Ruan, Yanyun Zhang, Huaping Zhang, Chao Chen, Peng Lv, Yuhang Xin, Jiaojiao Shi, Dongyan Chen, Xin Li, Jun Xu, Yinghe |
author_facet | Chen, Qi Liang, Xi Wu, Tianzhou Jiang, Jing Jiang, Yongpo Zhang, Sheng Ruan, Yanyun Zhang, Huaping Zhang, Chao Chen, Peng Lv, Yuhang Xin, Jiaojiao Shi, Dongyan Chen, Xin Li, Jun Xu, Yinghe |
author_sort | Chen, Qi |
collection | PubMed |
description | BACKGROUND: Sepsis is defined as a systemic inflammatory response to microbial infections with multiple organ dysfunction. This study analysed untargeted metabolomics combined with proteomics of serum from patients with sepsis to reveal the underlying pathological mechanisms involved in sepsis. METHODS: A total of 63 patients with sepsis and 43 normal controls were enrolled from a prospective multicentre cohort. The biological functions of the metabolome were assessed by coexpression network analysis. A molecular network based on metabolomics and proteomics data was constructed to investigate the key molecules. RESULTS: Untargeted metabolomics analysis revealed widespread dysregulation of amino acid metabolism, which regulates inflammation and immunity, in patients with sepsis. Seventy-three differentially expressed metabolites (|log(2) fold change| > 1.5, adjusted P value < 0.05 and variable importance in the projection (VIP) > 1.5) that could predict sepsis were identified. External validation of the hub metabolites was consistent with the derivation results (area under the receiver operating characteristic curve (AUROC): 0.81–0.96/0.62–1.00). The pentose phosphate pathway was found to be related to sepsis-associated encephalopathy. Phenylalanine metabolism was associated with sepsis-associated acute kidney injury. The key molecular alterations of the multiomics network in sepsis compared to normal controls implicate acute inflammatory response, platelet degranulation, myeloid cell activation involved in immune response and phenylalanine, tyrosine and tryptophan biosynthesis, and arginine biosynthesis. CONCLUSIONS: Integrated analysis of untargeted metabolomics and proteomics revealed characteristic metabolite and protein alterations in sepsis, which were mainly involved in inflammation-related pathways and amino acid metabolism. This study depicted the pathological characteristics and pathways involved in sepsis and potential therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03320-y. |
format | Online Article Text |
id | pubmed-8919526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89195262022-03-16 Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis Chen, Qi Liang, Xi Wu, Tianzhou Jiang, Jing Jiang, Yongpo Zhang, Sheng Ruan, Yanyun Zhang, Huaping Zhang, Chao Chen, Peng Lv, Yuhang Xin, Jiaojiao Shi, Dongyan Chen, Xin Li, Jun Xu, Yinghe J Transl Med Research BACKGROUND: Sepsis is defined as a systemic inflammatory response to microbial infections with multiple organ dysfunction. This study analysed untargeted metabolomics combined with proteomics of serum from patients with sepsis to reveal the underlying pathological mechanisms involved in sepsis. METHODS: A total of 63 patients with sepsis and 43 normal controls were enrolled from a prospective multicentre cohort. The biological functions of the metabolome were assessed by coexpression network analysis. A molecular network based on metabolomics and proteomics data was constructed to investigate the key molecules. RESULTS: Untargeted metabolomics analysis revealed widespread dysregulation of amino acid metabolism, which regulates inflammation and immunity, in patients with sepsis. Seventy-three differentially expressed metabolites (|log(2) fold change| > 1.5, adjusted P value < 0.05 and variable importance in the projection (VIP) > 1.5) that could predict sepsis were identified. External validation of the hub metabolites was consistent with the derivation results (area under the receiver operating characteristic curve (AUROC): 0.81–0.96/0.62–1.00). The pentose phosphate pathway was found to be related to sepsis-associated encephalopathy. Phenylalanine metabolism was associated with sepsis-associated acute kidney injury. The key molecular alterations of the multiomics network in sepsis compared to normal controls implicate acute inflammatory response, platelet degranulation, myeloid cell activation involved in immune response and phenylalanine, tyrosine and tryptophan biosynthesis, and arginine biosynthesis. CONCLUSIONS: Integrated analysis of untargeted metabolomics and proteomics revealed characteristic metabolite and protein alterations in sepsis, which were mainly involved in inflammation-related pathways and amino acid metabolism. This study depicted the pathological characteristics and pathways involved in sepsis and potential therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03320-y. BioMed Central 2022-03-14 /pmc/articles/PMC8919526/ /pubmed/35287674 http://dx.doi.org/10.1186/s12967-022-03320-y Text en © The Author(s) 2022 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 Chen, Qi Liang, Xi Wu, Tianzhou Jiang, Jing Jiang, Yongpo Zhang, Sheng Ruan, Yanyun Zhang, Huaping Zhang, Chao Chen, Peng Lv, Yuhang Xin, Jiaojiao Shi, Dongyan Chen, Xin Li, Jun Xu, Yinghe Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title | Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title_full | Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title_fullStr | Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title_full_unstemmed | Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title_short | Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
title_sort | integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919526/ https://www.ncbi.nlm.nih.gov/pubmed/35287674 http://dx.doi.org/10.1186/s12967-022-03320-y |
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