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Monogenic basis of young-onset cryptogenic stroke: a multicenter study

BACKGROUND: The prevalence of stroke in young adults is increasing. We investigated the monogenic basis of young adult cryptogenic stroke patients. METHODS: This multicenter study enrolled cryptogenic stroke patients under 55 years old, and individuals with nonstroke diseases were included as contro...

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Autores principales: Yuan, Wei-Zhuang, Shang, Liang, Tian, Dai-Shi, Wu, Shi-Wen, You, Yong, Tian, Cheng-Lin, Wu, Bo, Liu, Jun, Sun, Qin-Jian, Liu, Qing, Xu, Wei-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347040/
https://www.ncbi.nlm.nih.gov/pubmed/35928749
http://dx.doi.org/10.21037/atm-21-3843
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author Yuan, Wei-Zhuang
Shang, Liang
Tian, Dai-Shi
Wu, Shi-Wen
You, Yong
Tian, Cheng-Lin
Wu, Bo
Liu, Jun
Sun, Qin-Jian
Liu, Qing
Xu, Wei-Hai
author_facet Yuan, Wei-Zhuang
Shang, Liang
Tian, Dai-Shi
Wu, Shi-Wen
You, Yong
Tian, Cheng-Lin
Wu, Bo
Liu, Jun
Sun, Qin-Jian
Liu, Qing
Xu, Wei-Hai
author_sort Yuan, Wei-Zhuang
collection PubMed
description BACKGROUND: The prevalence of stroke in young adults is increasing. We investigated the monogenic basis of young adult cryptogenic stroke patients. METHODS: This multicenter study enrolled cryptogenic stroke patients under 55 years old, and individuals with nonstroke diseases were included as controls. Targeted next-generation sequencing (NGS) was applied with a custom-designed gene panel that included 551 genes. Rare variants were classified into 2 groups: pathogenic variants and variants of unknown significance. RESULTS: A total of 153 individuals, including 30 (21 males, 70%; mean age 36.1±10.2 years) in the disease group and 123 (59 males, 48.0%; mean age 40.4±13.1 years) in the control group, were recruited. In the disease group, 32 rare variants were identified. Among these individuals, 18 pathogenic variants in 16 patients were detected, with a 53.3% (16/30) diagnostic yield of monogenic causes for cryptogenic stroke. None of these mutations were observed in the control group. Among the mutant genes, the most prevalent were Notch receptor 3 (NOTCH3), protein kinase AMP-activated noncatalytic subunit gamma 2 (PRKAG2), and ryanodine receptor 2 (RYR2). Genes associated with cardiogenic diseases showed the highest mutation frequency (10/18, 55.6%) followed by genes associated with small-vessel diseases (SVDs) and coagulation disorders. None of the patients with mutations had evident abnormalities in the heart or other systems checked by routine tests. For the imaging phenotype–genotype association analysis, infarctions in both the anterior and posterior cerebral circulation were only observed in patients with genes related to cardiogenic disease. CONCLUSIONS: In this study, pathogenic variants were identified in nearly half of the young-onset cryptogenic stroke patients, with genes related to cardiogenic diseases being the most frequently mutated. This may have implications for future clinical decision-making, including the development of finer and more sensitive examinations.
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spelling pubmed-93470402022-08-03 Monogenic basis of young-onset cryptogenic stroke: a multicenter study Yuan, Wei-Zhuang Shang, Liang Tian, Dai-Shi Wu, Shi-Wen You, Yong Tian, Cheng-Lin Wu, Bo Liu, Jun Sun, Qin-Jian Liu, Qing Xu, Wei-Hai Ann Transl Med Original Article BACKGROUND: The prevalence of stroke in young adults is increasing. We investigated the monogenic basis of young adult cryptogenic stroke patients. METHODS: This multicenter study enrolled cryptogenic stroke patients under 55 years old, and individuals with nonstroke diseases were included as controls. Targeted next-generation sequencing (NGS) was applied with a custom-designed gene panel that included 551 genes. Rare variants were classified into 2 groups: pathogenic variants and variants of unknown significance. RESULTS: A total of 153 individuals, including 30 (21 males, 70%; mean age 36.1±10.2 years) in the disease group and 123 (59 males, 48.0%; mean age 40.4±13.1 years) in the control group, were recruited. In the disease group, 32 rare variants were identified. Among these individuals, 18 pathogenic variants in 16 patients were detected, with a 53.3% (16/30) diagnostic yield of monogenic causes for cryptogenic stroke. None of these mutations were observed in the control group. Among the mutant genes, the most prevalent were Notch receptor 3 (NOTCH3), protein kinase AMP-activated noncatalytic subunit gamma 2 (PRKAG2), and ryanodine receptor 2 (RYR2). Genes associated with cardiogenic diseases showed the highest mutation frequency (10/18, 55.6%) followed by genes associated with small-vessel diseases (SVDs) and coagulation disorders. None of the patients with mutations had evident abnormalities in the heart or other systems checked by routine tests. For the imaging phenotype–genotype association analysis, infarctions in both the anterior and posterior cerebral circulation were only observed in patients with genes related to cardiogenic disease. CONCLUSIONS: In this study, pathogenic variants were identified in nearly half of the young-onset cryptogenic stroke patients, with genes related to cardiogenic diseases being the most frequently mutated. This may have implications for future clinical decision-making, including the development of finer and more sensitive examinations. AME Publishing Company 2022-05 /pmc/articles/PMC9347040/ /pubmed/35928749 http://dx.doi.org/10.21037/atm-21-3843 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Yuan, Wei-Zhuang
Shang, Liang
Tian, Dai-Shi
Wu, Shi-Wen
You, Yong
Tian, Cheng-Lin
Wu, Bo
Liu, Jun
Sun, Qin-Jian
Liu, Qing
Xu, Wei-Hai
Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title_full Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title_fullStr Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title_full_unstemmed Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title_short Monogenic basis of young-onset cryptogenic stroke: a multicenter study
title_sort monogenic basis of young-onset cryptogenic stroke: a multicenter study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347040/
https://www.ncbi.nlm.nih.gov/pubmed/35928749
http://dx.doi.org/10.21037/atm-21-3843
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