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The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study
BACKGROUND: Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is applied in patients with refractory hemodynamic failure. Exposure of blood components to high shear stress and the large extracorporeal surfaces in the ECMO circuit trigger a complex inflammatory response syndrome and coagulo...
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/PMC10176307/ https://www.ncbi.nlm.nih.gov/pubmed/37173738 http://dx.doi.org/10.1186/s12967-023-04174-8 |
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author | Siegel, Patrick Malcolm Barta, Bálint András Orlean, Lukas Steenbuck, Ines Derya Cosenza-Contreras, Miguel Wengenmayer, Tobias Trummer, Georg Wolf, Dennis Westermann, Dirk Schilling, Oliver Diehl, Philipp |
author_facet | Siegel, Patrick Malcolm Barta, Bálint András Orlean, Lukas Steenbuck, Ines Derya Cosenza-Contreras, Miguel Wengenmayer, Tobias Trummer, Georg Wolf, Dennis Westermann, Dirk Schilling, Oliver Diehl, Philipp |
author_sort | Siegel, Patrick Malcolm |
collection | PubMed |
description | BACKGROUND: Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is applied in patients with refractory hemodynamic failure. Exposure of blood components to high shear stress and the large extracorporeal surfaces in the ECMO circuit trigger a complex inflammatory response syndrome and coagulopathy which are believed to worsen the already poor prognosis of these patients. Mass spectrometry-based proteomics allow a detailed characterization of the serum proteome as it provides the identity and concentration of large numbers of individual proteins at the same time. In this study, we aimed to characterize the serum proteome of patients receiving VA-ECMO. METHODS: Serum samples were collected on day 1 and day 3 after initiation of VA-ECMO. Samples underwent immunoaffinity based depletion for the 14 most abundant serum proteins, in-solution digestion and PreOmics clean-up. A spectral library was built with multiple measurements of a master-mix sample using variable mass windows. Individual samples were measured in data independent acquisition (DIA) mode. Raw files were analyzed by DIA-neural network. Unique proteins were log transformed and quantile normalized. Differential expression analysis was conducted with the LIMMA—R package. ROAST was applied to generate gene ontology enrichment analyses. RESULTS: Fourteen VA-ECMO patients and six healthy controls were recruited. Seven patients survived. Three hundred and fifty-one unique proteins were identified. One hundred and thirty-seven proteins were differentially expressed between VA-ECMO patients and controls. One hundred and forty-five proteins were differentially expressed on day 3 compared to day 1. Many of the differentially expressed proteins were involved in coagulation and the inflammatory response. The serum proteomes of survivors and non-survivors on day 3 differed from each other according to partial least-squares discriminant analysis (PLS-DA) and 48 proteins were differentially expressed. Many of these proteins have also been ascribed to processes in coagulation and inflammation (e.g., Factor IX, Protein-C, Kallikrein, SERPINA10, SEMA4B, Complement C3, Complement Factor D and MASP-1). CONCLUSION: The serum proteome of VA-ECMO patients displays major changes compared to controls and changes from day 1 until day 3. Many changes in the serum proteome are related to inflammation and coagulation. Survivors and non-survivors can be differentiated according to their serum proteomes using PLS-DA analysis on day 3. Our results build the basis for future studies using mass-spectrometry based serum proteomics as a tool to identify novel prognostic biomarkers. Trial registration: DRKS00011106. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04174-8. |
format | Online Article Text |
id | pubmed-10176307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101763072023-05-14 The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study Siegel, Patrick Malcolm Barta, Bálint András Orlean, Lukas Steenbuck, Ines Derya Cosenza-Contreras, Miguel Wengenmayer, Tobias Trummer, Georg Wolf, Dennis Westermann, Dirk Schilling, Oliver Diehl, Philipp J Transl Med Research BACKGROUND: Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is applied in patients with refractory hemodynamic failure. Exposure of blood components to high shear stress and the large extracorporeal surfaces in the ECMO circuit trigger a complex inflammatory response syndrome and coagulopathy which are believed to worsen the already poor prognosis of these patients. Mass spectrometry-based proteomics allow a detailed characterization of the serum proteome as it provides the identity and concentration of large numbers of individual proteins at the same time. In this study, we aimed to characterize the serum proteome of patients receiving VA-ECMO. METHODS: Serum samples were collected on day 1 and day 3 after initiation of VA-ECMO. Samples underwent immunoaffinity based depletion for the 14 most abundant serum proteins, in-solution digestion and PreOmics clean-up. A spectral library was built with multiple measurements of a master-mix sample using variable mass windows. Individual samples were measured in data independent acquisition (DIA) mode. Raw files were analyzed by DIA-neural network. Unique proteins were log transformed and quantile normalized. Differential expression analysis was conducted with the LIMMA—R package. ROAST was applied to generate gene ontology enrichment analyses. RESULTS: Fourteen VA-ECMO patients and six healthy controls were recruited. Seven patients survived. Three hundred and fifty-one unique proteins were identified. One hundred and thirty-seven proteins were differentially expressed between VA-ECMO patients and controls. One hundred and forty-five proteins were differentially expressed on day 3 compared to day 1. Many of the differentially expressed proteins were involved in coagulation and the inflammatory response. The serum proteomes of survivors and non-survivors on day 3 differed from each other according to partial least-squares discriminant analysis (PLS-DA) and 48 proteins were differentially expressed. Many of these proteins have also been ascribed to processes in coagulation and inflammation (e.g., Factor IX, Protein-C, Kallikrein, SERPINA10, SEMA4B, Complement C3, Complement Factor D and MASP-1). CONCLUSION: The serum proteome of VA-ECMO patients displays major changes compared to controls and changes from day 1 until day 3. Many changes in the serum proteome are related to inflammation and coagulation. Survivors and non-survivors can be differentiated according to their serum proteomes using PLS-DA analysis on day 3. Our results build the basis for future studies using mass-spectrometry based serum proteomics as a tool to identify novel prognostic biomarkers. Trial registration: DRKS00011106. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04174-8. BioMed Central 2023-05-12 /pmc/articles/PMC10176307/ /pubmed/37173738 http://dx.doi.org/10.1186/s12967-023-04174-8 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 Siegel, Patrick Malcolm Barta, Bálint András Orlean, Lukas Steenbuck, Ines Derya Cosenza-Contreras, Miguel Wengenmayer, Tobias Trummer, Georg Wolf, Dennis Westermann, Dirk Schilling, Oliver Diehl, Philipp The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title | The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title_full | The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title_fullStr | The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title_full_unstemmed | The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title_short | The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
title_sort | serum proteome of va-ecmo patients changes over time and allows differentiation of survivors and non-survivors: an observational study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176307/ https://www.ncbi.nlm.nih.gov/pubmed/37173738 http://dx.doi.org/10.1186/s12967-023-04174-8 |
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