| Literature DB >> 32732295 |
Julie W Rutten1, Remco J Hack2, Marco Duering2, Gido Gravesteijn2, Johannes G Dauwerse2, Maurice Overzier2, Erik B van den Akker2, Eline Slagboom2, Henne Holstege2, Kwangsik Nho2, Andrew Saykin2, Martin Dichgans2, Rainer Malik2, Saskia A J Lesnik Oberstein2.
Abstract
OBJECTIVE: To determine the small vessel disease spectrum associated with cysteine-altering NOTCH3 variants in community-dwelling individuals by analyzing the clinical and neuroimaging features of UK Biobank participants harboring such variants.Entities:
Mesh:
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Year: 2020 PMID: 32732295 PMCID: PMC7682826 DOI: 10.1212/WNL.0000000000010525
Source DB: PubMed Journal: Neurology ISSN: 0028-3878 Impact factor: 9.910
Cysteine-altering NOTCH3 variants in 50,000 UKB exomes
Figure 1NOTCH3 variant position and stroke frequency in UKB compared to patients with CADASIL
(A) Schematic representation of the NOTCH3 protein and variant distribution in UK Biobank (UKB) vs cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). In CADASIL pedigrees, ≈70% of individuals have a cysteine-altering NOTCH3 variant in 1 of the epidermal growth factor–like repeat (EGFr) domains 1 to 6 and ≈30% in 1 of the EGFr domains 7 to 34. In the UKB, the vast majority of cysteine-altering NOTCH3 variants (97%) are located in EGFr 7 to 34. (B) Kaplan-Meier plot showing the difference in age at first stroke between individuals with a NOTCH3 EGFr 7 to 34 variant from UKB, patients with CADASIL with an EGFr 7 to 34 variant, and patients with CADASIL with an EGFr 1 to 6 variant, as determined in a previously published study in 251 individuals from the Dutch CADASIL registry.[5] ECD = extracellular domain; ICD = intracellular domain; TM = transmembrane domain.
Figure 2Neuroimaging in cases with a cysteine-altering NOTCH3 variant in UKB
(A) Brain MRI T2–fluid-attenuated inversion recovery (FLAIR) images of 4 representative cases with a cysteine-altering NOTCH3 variant in the UK Biobank (UKB). From left to right: a 50-year old woman with a normal brain MRI; a 52-year old woman with periventricular and subcortical white matter hyperintensities (WMH) (Fazekas deep white matter [DWM] score 2 and periventricular white matter [PVWM] score 3) and a lacune; a 70-year old man with only minimal WMH in the external capsules (Fazekas DWM score 1 and PVWM score 1); and a 72-year old man with subcortical and basal ganglia WMH (Fazekas DWM score 3 and PVWM score 3). (B) Brain MRI T2-FLAIR images of 4 representative cases with a cysteine altering NOTCH3 variant in epidermal growth factor–like repeat (EGFr) 7 to 34 from cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) pedigrees. From left to right: a 50-year old woman with extensive WMH (Fazekas DWM score 3 and PVWM score 3); a 58-year old man with only minimal WMH (Fazekas DWM score 1 and PVWM score 1); a 68-year old woman with extensive WMH (Fazekas DWM score 3 and PVWM score 3) and lacunes; and a 77-year old woman with extensive WMH (Fazekas DWM score 3 and PVWM score 3) and lacunes. (C and D) Violin plots showing Fazekas DWM and PVWM scores of UKB controls, UKBNOTCH3 7-34 cases, and CADASILNOTCH3 7-34 cases. WMH lesion load in UKBNOTCH3 7-34 cases was significantly lower than in CADASILNOTCH3 7-34 cases but significantly higher than in UKB controls (for statistical analyses, see table 2). Almost half (10 of 24) of UKBNOTCH3 7-34 cases had a Fazekas score of 0 or 1 in both DWM and PVWM. In contrast, almost all (21 of 24) CADASILNOTCH3 7-34 cases had a Fazekas score of ≥2 in both DWM and PVWM. (E) Bar charts showing the frequency of lacunes, microbleeds, and brain atrophy in UKB controls, UKBNOTCH3 7-34 cases, and CADASILNOTCH3 7-34 cases. *A lacune.
Characteristics of UKBNOTCH3 7-34 cases, UKB controls, and CADASILNOTCH3 7–34 cases with brain MRI
Figure 3Brain MRI in an 84-year-old cognitively healthy control from ADNI with a NOTCH3 p.Cys1222Gly variant
T2-weighted images showing subtle white matter hyperintensities, dilated perivascular spaces, and brain atrophy. ADNI = Alzheimer's Disease Neuroimaging Initiative.