The United States CADASIL Consortium: Baseline Findings from a Natural History Study

Product:
CNS Disease Panel 120
Topic:
Neurology
Disease Area:
Cerebral Autosomal Dominant Arteriopathy
Sample Type:
Plasma

Abstract

Background and Objectives Vascular contributions to cognitive impairment and dementia (VCID) represent the second leading cause of dementia and a common comorbidity for reduced functional capacity in many individuals, but clinical management and clinical trial readiness are severely hindered by extreme phenotypic and mechanistic heterogeneity. This study establishes the baseline clinical, functional, and multimodal biomarker characteristics of the first United States (US) cohort of Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL), serving as a single-cause, monogenic small vessel disease model for sporadic VCID.

Methods Cross-sectional analysis of baseline data collected from October 2022 through January 2025 from a longitudinal cohort at 12 US enrollment sites. Adults from families with a documented NOTCH3 variant were recruited through clinical referrals, medical record review, advocacy organizations, and community outreach. Exclusion criteria included other conditions that prevented interpretation of findings and modified Rankin Scale (mRS) scores greater than 3. Central genetic characterization assigned persons with a pathogenic or likely pathogenic NOTCH3 variant to low-, medium-, or high-risk tiers based on epidermal growth factor-like repeat domains. Standardized assessments included clinical histories, exams, objective cognitive and physical assessments, self-reported, companion-reported, and clinician-rated measures, MRI, genetics, and proteomics acquired under harmonized protocols. Group comparisons used Fishers exact and Kruskal–Wallis tests. Multivariable regression used adjustment for age, sex, race, and education.

Results Of 560 participants completing baseline visits, 46 had variants of unknown significance, and 55 had pending genetic analyses. The analytic cohort included 343 persons with a CADASIL-causing NOTCH3 variant and 116 non-carrier family controls. Median age was 47.9 years (IQR 38.7–59.1), median education was 16 years (IQR 14– 17), 62.5% were female, and 91.4% were White. Carriers were classified in CADASIL risk tiers: low (7.0%), medium (18.4%), or high (74.6%). Compared with controls, adjusted odds of classification into a more impaired CDR category were higher in all tiers (OR 2.55-5.08, 95% CI 1.22–11.34).

Discussion The US CADASIL Consortium has established a large, genetics-confirmed cohort spanning presymptomatic to moderate disease stages, providing a robust, harmonized platform to define early biomarker signatures and endpoints for targeted VCID therapies.

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Authors and Affiliations

Jane S. Paulsen, PhD¹, H. Jeremy Bockholt, MS², William H. Adams, PhD³, Deven K. Burks, PhD¹, Jennifer J. Majersik, MD, MS⁴, Stephen P. Salloway, MD, MS⁵, Songmi Lee, PhD⁶, Myriam Fornage, PhD⁶, Cara Joyce, PhD³, Jamie L. Elliott, MD, PhD¹, Edward D. Huey, MD⁵, Megan R. Caruso, BS, BA⁵, Suman Jayadev, MD⁷, José Biller, MD³, Helmi L. Lutsep, MD⁸, Sara J. Doyle, MD⁹, David S. Liebeskind, MD, MBA¹⁰, Kelsey Eklund, MD¹¹, Imama A. Naqvi, MD¹², Arash Salardini, MD⁹, Sudha Seshadri, MD⁹, Jason D. Hinman, MD¹³, Lisa C. Krishnamurthy, PhD¹⁴, Barbara L. Fischer, PsyD¹, Michael D. Geschwind, MD, PhD¹⁵, the United States CADASIL Consortium

¹University of Wisconsin–Madison
²Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University
³Loyola University Chicago
⁴The University of Utah
⁵Butler Hospital
⁶University of Texas Health Science Center at Houston
⁷University of Washington
⁸Oregon Health & Science University
⁹University of Texas Health Science Center at San Antonio
¹⁰University of Southern California
¹¹University of Colorado, Anschutz
¹²Columbia University
¹³David Geffen School of Medicine, University of California, Los Angeles
¹⁴Emory University
¹⁵University of California, San Francisco

Steve Williams, MD, PhD

CSO

Dr. Willams serves as the company’s Chief Scientific Officer. He was previously Chief Medical Officer at Standard Biotools and at SomaLogic where he pioneered the discipline for discovery and validation of predictive, diagnostic and prognostic models using machine-learning applied to large-plex proteomics. 20 such tests were used for drug characterization, safety and efficacy when incorporated in clinical drug trials at Pharma/Biotech and 17 different multivariate tests were validated and translated into regulated healthcare uses. Prior to SomaLogic, Dr. Williams was at Pfizer in the UK and the USA as a clinical triallist in Translational Medicine, and subsequently as VP, Global Clinical Technology. He sat on the National Advisory Council for the National Institute of Biomedical Imaging and Bioengineering, the Executive Committee for the FNIH Biomarkers Consortium, and worked with FDA and PhRMA on developing evidentiary standards for biomarker qualification. Dr. William’s medical training was in London, at Charing Cross and Westminster Medical School, followed by a PhD in medicine/physiology at the same institution and training in Radiology at the University of Newcastle Upon Tyne. Steve is co-inventor on 26 proteomics patents and author/coauthor on multiple foundational proteomics manuscripts.

Justin McAnear

CFO

Mr. McAnear serves as the company’s Chief Financial Officer. He brings over 25 years of operational and financial leadership experience across various sectors and was instrumental in taking 10x Genomics public in 2019, serving as its CFO for over five years. Mr. McAnear served for over 3 years as Tesla’s VP of Worldwide Finance and Operations, supporting landmark initiatives such as the Model X and Model 3 launches and Solar City acquisition.  He also held various roles at Apple and J&J earlier in his career and served as a naval officer and aviator for over 9 years.