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Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients

End-stage kidney disease increases mortality and the risk of cardiovascular (CV) disease. It is crucial to explore novel biomarkers to predict CV disease in the complex setting of patients receiving hemodialysis (HD). This study investigated the association between 92 targeted proteins with all-caus...

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Autores principales: Wu, Ping-Hsun, Glerup, Rie Io, Svensson, My Hanna Sofia, Eriksson, Niclas, Christensen, Jeppe Hagstrup, de Laval, Philip, Soveri, Inga, Westerlund, Magnus, Linde, Torbjörn, Ljunggren, Östen, Fellström, Bengt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026983/
https://www.ncbi.nlm.nih.gov/pubmed/35453489
http://dx.doi.org/10.3390/biomedicines10040740
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author Wu, Ping-Hsun
Glerup, Rie Io
Svensson, My Hanna Sofia
Eriksson, Niclas
Christensen, Jeppe Hagstrup
de Laval, Philip
Soveri, Inga
Westerlund, Magnus
Linde, Torbjörn
Ljunggren, Östen
Fellström, Bengt
author_facet Wu, Ping-Hsun
Glerup, Rie Io
Svensson, My Hanna Sofia
Eriksson, Niclas
Christensen, Jeppe Hagstrup
de Laval, Philip
Soveri, Inga
Westerlund, Magnus
Linde, Torbjörn
Ljunggren, Östen
Fellström, Bengt
author_sort Wu, Ping-Hsun
collection PubMed
description End-stage kidney disease increases mortality and the risk of cardiovascular (CV) disease. It is crucial to explore novel biomarkers to predict CV disease in the complex setting of patients receiving hemodialysis (HD). This study investigated the association between 92 targeted proteins with all-cause death, CV death, and composite vascular events (CVEs) in HD patients. From December 2010 to March 2011, 331 HD patients were included and followed prospectively for 5 years. Serum was analyzed for 92 CV-related proteins using Proseek Multiplex Cardiovascular I panel, a high-sensitivity assay based on proximity extension assay (PEA) technology. The association between biomarkers and all-cause death, CV death, and CVEs was evaluated using Cox-regression analyses. Of the PEA-based proteins, we identified 20 proteins associated with risk of all-cause death, 7 proteins associated with risk of CV death, and 17 proteins associated with risk of CVEs, independent of established risk factors. Interleukin-8 (IL-8), T-cell immunoglobulin and mucin domain 1 (TIM-1), and C-C motif chemokine 20 (CCL20) were associated with increased risk of all-cause death, CV death, and CVE in multivariable-adjusted models. Stem cell factor (SCF) and Galanin peptides (GAL) were associated with both decreased risk of all-cause death and CV death. In conclusion, IL-8, TIM-1, and CCL20 predicted death and CV outcomes in HD patients. Novel findings were that SCF and GAL were associated with a lower risk of all-cause death and CV death. The SCF warrants further study with regard to its possible biological effect in HD patients.
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spelling pubmed-90269832022-04-23 Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients Wu, Ping-Hsun Glerup, Rie Io Svensson, My Hanna Sofia Eriksson, Niclas Christensen, Jeppe Hagstrup de Laval, Philip Soveri, Inga Westerlund, Magnus Linde, Torbjörn Ljunggren, Östen Fellström, Bengt Biomedicines Article End-stage kidney disease increases mortality and the risk of cardiovascular (CV) disease. It is crucial to explore novel biomarkers to predict CV disease in the complex setting of patients receiving hemodialysis (HD). This study investigated the association between 92 targeted proteins with all-cause death, CV death, and composite vascular events (CVEs) in HD patients. From December 2010 to March 2011, 331 HD patients were included and followed prospectively for 5 years. Serum was analyzed for 92 CV-related proteins using Proseek Multiplex Cardiovascular I panel, a high-sensitivity assay based on proximity extension assay (PEA) technology. The association between biomarkers and all-cause death, CV death, and CVEs was evaluated using Cox-regression analyses. Of the PEA-based proteins, we identified 20 proteins associated with risk of all-cause death, 7 proteins associated with risk of CV death, and 17 proteins associated with risk of CVEs, independent of established risk factors. Interleukin-8 (IL-8), T-cell immunoglobulin and mucin domain 1 (TIM-1), and C-C motif chemokine 20 (CCL20) were associated with increased risk of all-cause death, CV death, and CVE in multivariable-adjusted models. Stem cell factor (SCF) and Galanin peptides (GAL) were associated with both decreased risk of all-cause death and CV death. In conclusion, IL-8, TIM-1, and CCL20 predicted death and CV outcomes in HD patients. Novel findings were that SCF and GAL were associated with a lower risk of all-cause death and CV death. The SCF warrants further study with regard to its possible biological effect in HD patients. MDPI 2022-03-22 /pmc/articles/PMC9026983/ /pubmed/35453489 http://dx.doi.org/10.3390/biomedicines10040740 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Ping-Hsun
Glerup, Rie Io
Svensson, My Hanna Sofia
Eriksson, Niclas
Christensen, Jeppe Hagstrup
de Laval, Philip
Soveri, Inga
Westerlund, Magnus
Linde, Torbjörn
Ljunggren, Östen
Fellström, Bengt
Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title_full Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title_fullStr Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title_full_unstemmed Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title_short Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients
title_sort novel biomarkers detected by proteomics predict death and cardiovascular events in hemodialysis patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026983/
https://www.ncbi.nlm.nih.gov/pubmed/35453489
http://dx.doi.org/10.3390/biomedicines10040740
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