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Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL
BACKGROUND: Stroke remains the most cumbersome disease burden in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). This study aimed to investigate whether plasma biomarkers can reflect disease severity and predict stroke recurrence in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175500/ https://www.ncbi.nlm.nih.gov/pubmed/32321529 http://dx.doi.org/10.1186/s12974-020-01813-5 |
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author | Chen, Chih-Hao Cheng, Yu-Wen Chen, Ya-Fang Tang, Sung-Chun Jeng, Jiann-Shing |
author_facet | Chen, Chih-Hao Cheng, Yu-Wen Chen, Ya-Fang Tang, Sung-Chun Jeng, Jiann-Shing |
author_sort | Chen, Chih-Hao |
collection | PubMed |
description | BACKGROUND: Stroke remains the most cumbersome disease burden in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). This study aimed to investigate whether plasma biomarkers can reflect disease severity and predict stroke recurrence in CADASIL patients. METHODS: Sixty-three CADASIL patients (mean age 58.9 ± 9.3 years old, male 63%) from a multicenter registry and 17 controls were recruited. Plasma biomarkers, namely neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), tau, and ubiquitin carboxy-terminal hydrolase L1 (UCHL1), were measured using an ultra-sensitive single molecule array at baseline. Neuroimaging markers assessed included the Fazekas scale of white matter hyperintensity, numbers of lacunes, and cerebral microbleeds (CMBs). Cox proportional hazards regression models were applied to calculate the hazard ratio (HR) of plasma biomarkers at baseline for predicting incident stroke during follow-up. RESULTS: Plasma NfL, GFAP, and UCHL1 levels were significantly elevated in the CADASIL patients than in the controls. Among the CADASIL patients, both plasma NfL and GFAP levels positively correlated with the numbers of CMBs (r = 0.32 and r = 0.37, respectively; both p < 0.05). Higher plasma levels of NfL and GFAP were associated with any stroke (odds ratio 2.02, 95% confidence interval [CI] 1.06–3.87) and ICH (odds ratio 2.06, 95% CI 1.26–3.35) at baseline, respectively. Within a mean follow-up period of 3.1 ± 2.1 years, 10 patients (16%) had incident stroke and 6 of them were ICH. Higher baseline NfL (HR 1.93, 95% CI 1.19–3.13) predicted any incident stroke, whereas higher GFAP (HR 2.80, 95% CI 1.21–6.53) predicted incident ICH. CONCLUSIONS: In CADASIL patients, plasma NfL can be a promising biomarker for monitoring incident stroke, whereas GFAP may have a role in cerebral hemorrhage. |
format | Online Article Text |
id | pubmed-7175500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71755002020-04-24 Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL Chen, Chih-Hao Cheng, Yu-Wen Chen, Ya-Fang Tang, Sung-Chun Jeng, Jiann-Shing J Neuroinflammation Research BACKGROUND: Stroke remains the most cumbersome disease burden in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). This study aimed to investigate whether plasma biomarkers can reflect disease severity and predict stroke recurrence in CADASIL patients. METHODS: Sixty-three CADASIL patients (mean age 58.9 ± 9.3 years old, male 63%) from a multicenter registry and 17 controls were recruited. Plasma biomarkers, namely neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), tau, and ubiquitin carboxy-terminal hydrolase L1 (UCHL1), were measured using an ultra-sensitive single molecule array at baseline. Neuroimaging markers assessed included the Fazekas scale of white matter hyperintensity, numbers of lacunes, and cerebral microbleeds (CMBs). Cox proportional hazards regression models were applied to calculate the hazard ratio (HR) of plasma biomarkers at baseline for predicting incident stroke during follow-up. RESULTS: Plasma NfL, GFAP, and UCHL1 levels were significantly elevated in the CADASIL patients than in the controls. Among the CADASIL patients, both plasma NfL and GFAP levels positively correlated with the numbers of CMBs (r = 0.32 and r = 0.37, respectively; both p < 0.05). Higher plasma levels of NfL and GFAP were associated with any stroke (odds ratio 2.02, 95% confidence interval [CI] 1.06–3.87) and ICH (odds ratio 2.06, 95% CI 1.26–3.35) at baseline, respectively. Within a mean follow-up period of 3.1 ± 2.1 years, 10 patients (16%) had incident stroke and 6 of them were ICH. Higher baseline NfL (HR 1.93, 95% CI 1.19–3.13) predicted any incident stroke, whereas higher GFAP (HR 2.80, 95% CI 1.21–6.53) predicted incident ICH. CONCLUSIONS: In CADASIL patients, plasma NfL can be a promising biomarker for monitoring incident stroke, whereas GFAP may have a role in cerebral hemorrhage. BioMed Central 2020-04-22 /pmc/articles/PMC7175500/ /pubmed/32321529 http://dx.doi.org/10.1186/s12974-020-01813-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Chen, Chih-Hao Cheng, Yu-Wen Chen, Ya-Fang Tang, Sung-Chun Jeng, Jiann-Shing Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title | Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title_full | Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title_fullStr | Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title_full_unstemmed | Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title_short | Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL |
title_sort | plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in cadasil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175500/ https://www.ncbi.nlm.nih.gov/pubmed/32321529 http://dx.doi.org/10.1186/s12974-020-01813-5 |
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