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Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome

BACKGROUND: The inflammatory response to cerebral ischemia is complex; however, most clinical studies of stroke outcome focus on a few selected proteins. We, therefore, aimed to profile a broad range of inflammation-related proteins to: identify proteins associated with ischemic stroke outcome that...

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Autores principales: Angerfors, Annelie, Brännmark, Cecilia, Lagging, Cecilia, Tai, Kara, Månsby Svedberg, Robert, Andersson, Björn, Jern, Christina, Stanne, Tara M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548608/
https://www.ncbi.nlm.nih.gov/pubmed/37794467
http://dx.doi.org/10.1186/s12974-023-02912-9
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author Angerfors, Annelie
Brännmark, Cecilia
Lagging, Cecilia
Tai, Kara
Månsby Svedberg, Robert
Andersson, Björn
Jern, Christina
Stanne, Tara M.
author_facet Angerfors, Annelie
Brännmark, Cecilia
Lagging, Cecilia
Tai, Kara
Månsby Svedberg, Robert
Andersson, Björn
Jern, Christina
Stanne, Tara M.
author_sort Angerfors, Annelie
collection PubMed
description BACKGROUND: The inflammatory response to cerebral ischemia is complex; however, most clinical studies of stroke outcome focus on a few selected proteins. We, therefore, aimed to profile a broad range of inflammation-related proteins to: identify proteins associated with ischemic stroke outcome that are independent of established clinical predictors; identify proteins subsets for outcome prediction; and perform sex and etiological subtype stratified analyses. METHODS: Acute-phase plasma levels of 65 inflammation-related proteins were measured in 534 ischemic stroke cases. Logistic regression was used to estimate associations to unfavorable 3-month functional outcome (modified Rankin Scale score > 2) and LASSO regressions to identify proteins with independent effects. RESULTS: Twenty proteins were associated with outcome in univariable models after correction for multiple testing (FDR < 0.05), and for 5 the association was independent of clinical variables, including stroke severity (TNFSF14 [LIGHT], OSM, SIRT2, STAMBP, and 4E-BP1). LASSO identified 9 proteins that could best separate favorable and unfavorable outcome with a predicted diagnostic accuracy (AUC) of 0.81; three associated with favorable (CCL25, TRAIL [TNFSF10], and Flt3L) and 6 with unfavorable outcome (CSF-1, EN-RAGE [S100A12], HGF, IL-6, OSM, and TNFSF14). Finally, we identified sex- and etiologic subtype-specific associations with the best discriminative ability achieved for cardioembolic, followed by cryptogenic stroke. CONCLUSIONS: We identified candidate blood-based protein biomarkers for post-stroke functional outcome involved in, e.g., NLRP3 inflammasome regulation and signaling pathways, such as TNF, JAK/STAT, MAPK, and NF-κB. These proteins warrant further study for stroke outcome prediction as well as investigations into the putative causal role for stroke outcome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-023-02912-9.
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spelling pubmed-105486082023-10-05 Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome Angerfors, Annelie Brännmark, Cecilia Lagging, Cecilia Tai, Kara Månsby Svedberg, Robert Andersson, Björn Jern, Christina Stanne, Tara M. J Neuroinflammation Research BACKGROUND: The inflammatory response to cerebral ischemia is complex; however, most clinical studies of stroke outcome focus on a few selected proteins. We, therefore, aimed to profile a broad range of inflammation-related proteins to: identify proteins associated with ischemic stroke outcome that are independent of established clinical predictors; identify proteins subsets for outcome prediction; and perform sex and etiological subtype stratified analyses. METHODS: Acute-phase plasma levels of 65 inflammation-related proteins were measured in 534 ischemic stroke cases. Logistic regression was used to estimate associations to unfavorable 3-month functional outcome (modified Rankin Scale score > 2) and LASSO regressions to identify proteins with independent effects. RESULTS: Twenty proteins were associated with outcome in univariable models after correction for multiple testing (FDR < 0.05), and for 5 the association was independent of clinical variables, including stroke severity (TNFSF14 [LIGHT], OSM, SIRT2, STAMBP, and 4E-BP1). LASSO identified 9 proteins that could best separate favorable and unfavorable outcome with a predicted diagnostic accuracy (AUC) of 0.81; three associated with favorable (CCL25, TRAIL [TNFSF10], and Flt3L) and 6 with unfavorable outcome (CSF-1, EN-RAGE [S100A12], HGF, IL-6, OSM, and TNFSF14). Finally, we identified sex- and etiologic subtype-specific associations with the best discriminative ability achieved for cardioembolic, followed by cryptogenic stroke. CONCLUSIONS: We identified candidate blood-based protein biomarkers for post-stroke functional outcome involved in, e.g., NLRP3 inflammasome regulation and signaling pathways, such as TNF, JAK/STAT, MAPK, and NF-κB. These proteins warrant further study for stroke outcome prediction as well as investigations into the putative causal role for stroke outcome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-023-02912-9. BioMed Central 2023-10-04 /pmc/articles/PMC10548608/ /pubmed/37794467 http://dx.doi.org/10.1186/s12974-023-02912-9 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
Angerfors, Annelie
Brännmark, Cecilia
Lagging, Cecilia
Tai, Kara
Månsby Svedberg, Robert
Andersson, Björn
Jern, Christina
Stanne, Tara M.
Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title_full Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title_fullStr Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title_full_unstemmed Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title_short Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
title_sort proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548608/
https://www.ncbi.nlm.nih.gov/pubmed/37794467
http://dx.doi.org/10.1186/s12974-023-02912-9
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