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Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study
BACKGROUND: Stroke is a leading cause of mortality and disability worldwide and its occurrence is expected to increase in the future. Blood biomarkers have proven their usefulness in identification and monitoring of the disease. Stroke severity is a major factor for estimation of prognosis and risk...
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/PMC10357843/ https://www.ncbi.nlm.nih.gov/pubmed/37468969 http://dx.doi.org/10.1186/s42466-023-00259-3 |
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author | Braadt, Lino Naumann, Markus Freuer, Dennis Schmitz, Timo Linseisen, Jakob Ertl, Michael |
author_facet | Braadt, Lino Naumann, Markus Freuer, Dennis Schmitz, Timo Linseisen, Jakob Ertl, Michael |
author_sort | Braadt, Lino |
collection | PubMed |
description | BACKGROUND: Stroke is a leading cause of mortality and disability worldwide and its occurrence is expected to increase in the future. Blood biomarkers have proven their usefulness in identification and monitoring of the disease. Stroke severity is a major factor for estimation of prognosis and risk of recurrent events, but knowledge on respective blood biomarkers is still scarce. Stroke pathophysiology comprises a multitude of ischemia-induced inflammatory and immune mediated responses. Therefore, the assessment of an immune-related panel in correlation with stroke severity seems promising. METHODS: In the present cross-sectional evaluation, a set of 92 blood biomarkers of a standardized immune panel were gathered (median 4.6 days after admission) and related to stroke severity measures, assessed at hospital admission of acute stroke patients. Multivariable logistic regression models were used to determine associations between biomarkers and modified Rankin Scale (mRS), linear regression models were used for associations with National Institute of Health Stroke Scale. RESULTS: 415 patients (mean age 69 years; 41% female) were included for biomarker analysis. C-type lectin domain family 4 member G (CLEC4G; OR = 2.89, 95% CI [1.49; 5.59], p(adj) = 0.026, Cytoskeleton-associated protein 4 (CKAP4; OR = 2.38, 95% CI [1.43; 3.98], p(adj) = 0.019), and Interleukin-6 (IL-6) (IL6; OR = 1.97, 95% CI [1.49; 2.62], p(adj) < 0.001) were positively associated with stroke severity measured by mRS, while Lymphocyte antigen 75 (LY75; OR = 0.37, 95% CI [0.19; 0.73], p(adj) = 0.049) and Integrin alpha-11 (ITGA11 OR = 0.24, 95% CI [0.14, 0.40] p(adj) < 0.001) were inversely associated. When investigating the relationships with the NIHSS, IL-6 (β = 0.23, 95% CI [0.12, 0.33] p(adj) = 0.001) and ITGA11 (β = − 0.60, 95% CI [− 0.83, − 0.37] p(adj) < 0.001) were significantly associated. CONCLUSIONS: Higher relative concentrations of plasma CLEC4G, CKAP4, and IL-6 were associated with higher stroke severity, whereas LY75 and ITGA11 showed an inverse association. Future research might show a possible use as therapeutic targets and application in individual risk assessments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42466-023-00259-3. |
format | Online Article Text |
id | pubmed-10357843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103578432023-07-21 Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study Braadt, Lino Naumann, Markus Freuer, Dennis Schmitz, Timo Linseisen, Jakob Ertl, Michael Neurol Res Pract Research Article BACKGROUND: Stroke is a leading cause of mortality and disability worldwide and its occurrence is expected to increase in the future. Blood biomarkers have proven their usefulness in identification and monitoring of the disease. Stroke severity is a major factor for estimation of prognosis and risk of recurrent events, but knowledge on respective blood biomarkers is still scarce. Stroke pathophysiology comprises a multitude of ischemia-induced inflammatory and immune mediated responses. Therefore, the assessment of an immune-related panel in correlation with stroke severity seems promising. METHODS: In the present cross-sectional evaluation, a set of 92 blood biomarkers of a standardized immune panel were gathered (median 4.6 days after admission) and related to stroke severity measures, assessed at hospital admission of acute stroke patients. Multivariable logistic regression models were used to determine associations between biomarkers and modified Rankin Scale (mRS), linear regression models were used for associations with National Institute of Health Stroke Scale. RESULTS: 415 patients (mean age 69 years; 41% female) were included for biomarker analysis. C-type lectin domain family 4 member G (CLEC4G; OR = 2.89, 95% CI [1.49; 5.59], p(adj) = 0.026, Cytoskeleton-associated protein 4 (CKAP4; OR = 2.38, 95% CI [1.43; 3.98], p(adj) = 0.019), and Interleukin-6 (IL-6) (IL6; OR = 1.97, 95% CI [1.49; 2.62], p(adj) < 0.001) were positively associated with stroke severity measured by mRS, while Lymphocyte antigen 75 (LY75; OR = 0.37, 95% CI [0.19; 0.73], p(adj) = 0.049) and Integrin alpha-11 (ITGA11 OR = 0.24, 95% CI [0.14, 0.40] p(adj) < 0.001) were inversely associated. When investigating the relationships with the NIHSS, IL-6 (β = 0.23, 95% CI [0.12, 0.33] p(adj) = 0.001) and ITGA11 (β = − 0.60, 95% CI [− 0.83, − 0.37] p(adj) < 0.001) were significantly associated. CONCLUSIONS: Higher relative concentrations of plasma CLEC4G, CKAP4, and IL-6 were associated with higher stroke severity, whereas LY75 and ITGA11 showed an inverse association. Future research might show a possible use as therapeutic targets and application in individual risk assessments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42466-023-00259-3. BioMed Central 2023-07-20 /pmc/articles/PMC10357843/ /pubmed/37468969 http://dx.doi.org/10.1186/s42466-023-00259-3 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/) . |
spellingShingle | Research Article Braadt, Lino Naumann, Markus Freuer, Dennis Schmitz, Timo Linseisen, Jakob Ertl, Michael Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title | Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title_full | Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title_fullStr | Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title_full_unstemmed | Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title_short | Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
title_sort | novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357843/ https://www.ncbi.nlm.nih.gov/pubmed/37468969 http://dx.doi.org/10.1186/s42466-023-00259-3 |
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