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Ted Wilson
Provost's Assistant Professor of Neuroimmunology & Brain Science
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
Patricia Moran Losada
Senior Research Scientist
Stanford University
Aisling Chaney
Assistant Prof
Washington University in St. Louis
Michelle L. James
Stanford University
David Gate
Assistant Professor
Northwestern University
Irina Skylar-Scott
Clinical Assistant Professor
Stanford University
Christina B. Young
Assistant Professor
UC Davis Health System
Fabian Michael Kern
Junior professor
University of Hamburg
Takeshi Uenaka
Stanford University
Kathleen L. Poston
Associate Professor
Stanford University
Yuki Sugiura
Keio University School of Medicine
Yann Le Guen
Stanford University
Kristy Zera
Faculty, Assistant Professor
University of Minnesota Duluth
Victor Henderson
Professor
Stanford University
Ciyang Wang
Washington University in St. Louis
David A. Bennett
Rush University Medical Center
Elvira Mass
Professor
University of Bonn
Haley Cropper
Life Science Research Professional I
Stanford University School of Medicine
Muhammad Ali
Assistant Professor
Washington University in St. Louis
Alexander Ehrenberg
Associate Professional Researcher
University of California, San Francisco
Federico Simonetta
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Nicole Corso
University of Michigan
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