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A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes
BACKGROUND: Acute respiratory distress syndrome (ARDS) is etiologically and clinically a heterogeneous disease. Its diagnostic characteristics and subtype classification, and the application of these features to treatment, have been of considerable interest. Metabolomics is becoming important for id...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320874/ https://www.ncbi.nlm.nih.gov/pubmed/37408042 http://dx.doi.org/10.1186/s13054-023-04552-0 |
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author | Chang, Youjin Yoo, Hyun Ju Kim, Su Jung Lee, Kwangha Lim, Chae-Man Hong, Sang-Bum Koh, Younsuck Huh, Jin Won |
author_facet | Chang, Youjin Yoo, Hyun Ju Kim, Su Jung Lee, Kwangha Lim, Chae-Man Hong, Sang-Bum Koh, Younsuck Huh, Jin Won |
author_sort | Chang, Youjin |
collection | PubMed |
description | BACKGROUND: Acute respiratory distress syndrome (ARDS) is etiologically and clinically a heterogeneous disease. Its diagnostic characteristics and subtype classification, and the application of these features to treatment, have been of considerable interest. Metabolomics is becoming important for identifying ARDS biology and distinguishing its subtypes. This study aimed to identify metabolites that could distinguish sepsis-induced ARDS patients from non-ARDS controls, using a targeted metabolomics approach, and to identify whether sepsis-induced direct and sepsis-induced indirect ARDS are metabolically distinct groups, and if so, confirm their metabolites and associated pathways. METHODS: This study retrospectively analyzed 54 samples of ARDS patients from a sepsis registry that was prospectively collected from March 2011 to February 2018, along with 30 non-ARDS controls. The cohort was divided into direct and indirect ARDS. Metabolite concentrations of five analyte classes (energy metabolism, free fatty acids, amino acids, phospholipids, sphingolipids) were measured using liquid chromatography–tandem mass spectrometry and gas chromatography–mass spectrometry by targeted metabolomics. RESULTS: In total, 186 metabolites were detected. Among them, 102 metabolites could differentiate sepsis-induced ARDS patients from the non-ARDS controls, while 14 metabolites could discriminate sepsis-induced ARDS subphenotypes. Using partial least-squares discriminant analysis, we showed that sepsis-induced ARDS patients were metabolically distinct from the non-ARDS controls. The main distinguishing metabolites were lysophosphatidylethanolamine (lysoPE) plasmalogen, PE plasmalogens, and phosphatidylcholines (PCs). Sepsis-induced direct and indirect ARDS were also metabolically distinct subgroups, with differences in lysoPCs. Glycerophospholipid and sphingolipid metabolism were the most significant metabolic pathways involved in sepsis-induced ARDS biology and in sepsis-induced direct/indirect ARDS, respectively. CONCLUSION: Our study demonstrated a marked difference in metabolic patterns between sepsis-induced ARDS patients and non-ARDS controls, and between sepsis-induced direct and indirect ARDS subpheonotypes. The identified metabolites and pathways can provide clues relevant to the diagnosis and treatment of individuals with ARDS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04552-0. |
format | Online Article Text |
id | pubmed-10320874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103208742023-07-06 A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes Chang, Youjin Yoo, Hyun Ju Kim, Su Jung Lee, Kwangha Lim, Chae-Man Hong, Sang-Bum Koh, Younsuck Huh, Jin Won Crit Care Research BACKGROUND: Acute respiratory distress syndrome (ARDS) is etiologically and clinically a heterogeneous disease. Its diagnostic characteristics and subtype classification, and the application of these features to treatment, have been of considerable interest. Metabolomics is becoming important for identifying ARDS biology and distinguishing its subtypes. This study aimed to identify metabolites that could distinguish sepsis-induced ARDS patients from non-ARDS controls, using a targeted metabolomics approach, and to identify whether sepsis-induced direct and sepsis-induced indirect ARDS are metabolically distinct groups, and if so, confirm their metabolites and associated pathways. METHODS: This study retrospectively analyzed 54 samples of ARDS patients from a sepsis registry that was prospectively collected from March 2011 to February 2018, along with 30 non-ARDS controls. The cohort was divided into direct and indirect ARDS. Metabolite concentrations of five analyte classes (energy metabolism, free fatty acids, amino acids, phospholipids, sphingolipids) were measured using liquid chromatography–tandem mass spectrometry and gas chromatography–mass spectrometry by targeted metabolomics. RESULTS: In total, 186 metabolites were detected. Among them, 102 metabolites could differentiate sepsis-induced ARDS patients from the non-ARDS controls, while 14 metabolites could discriminate sepsis-induced ARDS subphenotypes. Using partial least-squares discriminant analysis, we showed that sepsis-induced ARDS patients were metabolically distinct from the non-ARDS controls. The main distinguishing metabolites were lysophosphatidylethanolamine (lysoPE) plasmalogen, PE plasmalogens, and phosphatidylcholines (PCs). Sepsis-induced direct and indirect ARDS were also metabolically distinct subgroups, with differences in lysoPCs. Glycerophospholipid and sphingolipid metabolism were the most significant metabolic pathways involved in sepsis-induced ARDS biology and in sepsis-induced direct/indirect ARDS, respectively. CONCLUSION: Our study demonstrated a marked difference in metabolic patterns between sepsis-induced ARDS patients and non-ARDS controls, and between sepsis-induced direct and indirect ARDS subpheonotypes. The identified metabolites and pathways can provide clues relevant to the diagnosis and treatment of individuals with ARDS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04552-0. BioMed Central 2023-07-05 /pmc/articles/PMC10320874/ /pubmed/37408042 http://dx.doi.org/10.1186/s13054-023-04552-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Chang, Youjin Yoo, Hyun Ju Kim, Su Jung Lee, Kwangha Lim, Chae-Man Hong, Sang-Bum Koh, Younsuck Huh, Jin Won A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title | A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title_full | A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title_fullStr | A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title_full_unstemmed | A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title_short | A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes |
title_sort | targeted metabolomics approach for sepsis-induced ards and its subphenotypes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320874/ https://www.ncbi.nlm.nih.gov/pubmed/37408042 http://dx.doi.org/10.1186/s13054-023-04552-0 |
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