Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Yuan WZ

PROVIDER: S-EPMC9347040 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

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

Yuan Wei-Zhuang WZ Shang Liang L Tian Dai-Shi DS Wu Shi-Wen SW You Yong Y Tian Cheng-Lin CL Wu Bo B Liu Jun J Sun Qin-Jian QJ Liu Qing Q Xu Wei-Hai WH

Annals of translational medicine 20220501 9

<h4>Background</h4>The prevalence of stroke in young adults is increasing. We investigated the monogenic basis of young adult cryptogenic stroke patients.<h4>Methods</h4>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 v ...[more]

PMID: 35928749

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Project description:BackgroundIn young patients, up to 40% of ischemic strokes remain cryptogenic despite modern-day diagnostic work-up. There are limited data on blood pressure (BP) behavior in these patients. Thus, we aimed to compare ambulatory blood pressure (ABP) profiles between young patients with a recent cryptogenic ischemic stroke (CIS) and stroke-free controls.Patients and methodsIn this substudy of the international multicenter case-control study SECRETO (NCT01934725), 24-hour ambulatory blood pressure monitoring (ABPM) was performed in consecutive 18-49-year-old CIS patients and stroke-free controls. The inclusion criteria were met by 132 patients (median age, 41.9 years; 56.1% males) and 106 controls (41.9 years; 56.6% males). We assessed not only 24-hour, daytime, and nighttime ABP but also hypertension phenotypes and nocturnal dipping status.Results24-hour and daytime ABP were higher among controls. After adjusting for relevant confounders, a non-dipping pattern of diastolic blood pressure (DBP) was associated with CIS in the entire sample (odds ratio, 3.85; 95% confidence interval, 1.20-12.42), in participants without antihypertensives (4.86; 1.07-22.02), and in participants without a patent foramen ovale (PFO) (7.37; 1.47-36.81). After excluding patients in the first tertile of the delay between the stroke and ABPM, a non-dipping pattern of DBP was not associated with CIS, but a non-dipping pattern of both systolic BP and DBP was (4.85; 1.37-17.10). In participants with a PFO and in those without hypertension by any definition, no associations between non-dipping patterns of BP and CIS emerged.ConclusionsNon-dipping patterns of BP were associated with CIS in the absence of a PFO but not in the absence of hypertension. This may reflect differing pathophysiology underlying CIS in patients with versus without a PFO. Due to limitations of the study, results regarding absolute ABP levels should be interpreted with caution.Key MessagesNocturnal non-dipping patterns of blood pressure were associated with cryptogenic ischemic stroke except in participants with a patent foramen ovale and in those without hypertension by any definition, which may indicate differing pathophysiology underlying cryptogenic ischemic stroke in patients with and without a patent foramen ovale.It might be reasonable to include ambulatory blood pressure monitoring in the diagnostic work-up for young patients with ischemic stroke to detect not only the absolute ambulatory blood pressure levels but also their blood pressure behavior.

Project description:Acute Ischemic Stroke (AIS) in the young is increasing in prevalence and the largest subtype within this cohort is cryptogenic. To curb this trend, new ways of defining cryptogenic stroke and associated risk factors are needed. We aimed to gain insights into the presence or absence of cardiovascular risk factors in cases of cryptogenic stroke. We conducted a retrospective cohort study of patients aged 18-49 who presented to an urban tertiary care center with AIS. We manually collected predefined demographic, clinical, laboratory and radiological variables. Clinical risk phenotypes were determined using these variables through multivariate analysis of patients with the small and large vessel disease subtypes (vascular phenotype) and cardioembolic subtype (cardiac phenotype). The resultant phenotype models were applied to cases deemed cryptogenic. Within the 449 patients who met criteria, patients with small and large vessel disease (vascular phenotype) had higher rates of hypertension, intracranial atherosclerosis, and diabetes mellitus, and higher admission glucose, HbA1c, admission blood pressure, and cholesterol compared to the patients with cardioembolic AIS. The cardioembolic subgroup (cardiac phenotype) had significantly higher rates of congestive heart failure (CHF), rheumatic heart disease, atrial fibrillation, clotting disorders, left ventricular hypertrophy, larger left atrial sizes, lower ejection fractions, and higher B-type natriuretic peptide and troponin levels. Adjusted multivariate analysis produced six variables independently associated with the vascular phenotype (age, male sex, hemoglobin A1c, ejection fraction (EF), low-density lipoprotein (LDL) cholesterol, and family history of AIS) and five independently associated with the cardiac phenotype (age, female sex, decreased EF, CHF, and absence of intracranial atherosclerosis). Applying these models to cryptogenic stroke cases yielded that 51.5% fit the vascular phenotype and 3.1% fit the cardiac phenotype. In our cohort, half of young patients with cryptogenic stroke fit the risk factor phenotype of small and large vessel strokes.

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Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

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