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Ted Wilson

Provost's Assistant Professor of Neuroimmunology & Brain Science

Brown University
Country flagUnited States

Research Interests

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Articles (20)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Objective More than half of neurodegenerative disease patients have multiple pathologies at autopsy; however, most receive one diagnosis during life. We used the α‐synuclein seed amplification assay (αSyn‐SAA) and CSF biomarkers for amyloidosis and Alzheimer's disease (AD) neuropathological change (ADNC) to determine the frequency of co‐pathologies in participants clinically diagnosed with Lewy body (LB) disease or AD. Methods Using receiver operating characteristic analyses on retrospective CSF samples from 150 participants determined αSyn‐SAA accuracy, sensitivity, and specificity for identifying clinically defined LB disease and predicting future change in clinical diagnosis. CSF biomarkers helped determine the frequency of concomitant Lewy body pathology, ADNC, and/or amyloidosis in participants with LB disease and AD, across clinical spectra. Results Following a decade‐long follow‐up, the clinically or autopsy‐defined diagnosis changed for nine participants. αSyn‐SAA demonstrated improved accuracy (91.3%), sensitivity (89.3%), and specificity (93.3%) for identifying LB disease compared to all non‐LB disease, highlighting the limitations of clinical diagnosis alone. When examining biomarkers of co‐pathology, amyloidosis was present in 18%, 48%, and 71% ( χ 2 (2) = 13.56, p = 0.001) and AD biomarkers were present in 0%, 8.7%, and 42.9% ( χ 2 (2) = 18.44, p < 0.001) of LB disease participants with different stages of cognitive impairment respectively. Co‐occurring biomarkers for αSyn‐SAA and amyloidosis were present in 12% and 14% of AD compared to 43% and 57% LB disease participants with different stages of cognitive impairment ( χ 2 (3) = 13.87, p = 0.003). Interpretation Our study shows that using a combination of αSyn‐SAA and AD biomarkers can identify people with αSyn, ADNC, and co‐pathology better and earlier than traditional clinical diagnostic criteria alone.

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (22)

Chinyere Agbaegbu Iweka

Assistant Professor

Case Western Reserve University

UNITED STATES
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Patricia Moran Losada

Senior Research Scientist

Stanford University

UNITED STATES
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Aisling Chaney

Assistant Prof

Washington University in St. Louis

UNITED STATES
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Michelle L. James

Stanford University

UNITED STATES
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David Gate

Assistant Professor

Northwestern University

UNITED STATES
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Irina Skylar-Scott

Clinical Assistant Professor

Stanford University

UNITED STATES
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Christina B. Young

Assistant Professor

UC Davis Health System

UNITED STATES
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Fabian Michael Kern

Junior professor

University of Hamburg

GERMANY
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Takeshi Uenaka

Stanford University

UNITED STATES
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Kathleen L. Poston

Associate Professor

Stanford University

UNITED STATES
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Yuki Sugiura

Keio University School of Medicine

JAPAN
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Yann Le Guen

Stanford University

UNITED STATES
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Kristy Zera

Faculty, Assistant Professor

University of Minnesota Duluth

UNITED STATES
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Victor Henderson

Professor

Stanford University

UNITED STATES
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Ciyang Wang

Washington University in St. Louis

UNITED STATES
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David A. Bennett

Rush University Medical Center

UNITED STATES
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Elvira Mass

Professor

University of Bonn

GERMANY
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Haley Cropper

Life Science Research Professional I

Stanford University School of Medicine

UNITED STATES
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Muhammad Ali

Assistant Professor

Washington University in St. Louis

UNITED STATES
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Alexander Ehrenberg

Associate Professional Researcher

University of California, San Francisco

UNITED STATES
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Federico Simonetta

-

SWITZERLAND
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Nicole Corso

University of Michigan

UNITED STATES
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