
Richard J. Perrin, MD, PhD
Associate Professor, Pathology & Immunology
Contact
- Email: rperrin@wustl.edu
- Phone: 314-362-7426
Division: Neuropathology
Education
BS: Yale College, New Haven, CT (1992)
PhD: University of Illinois Urbana-Champaign, Champaign, IL (2001)
Medical Degree: University of Illinois – Chicago, Chicago, IL (2004)
Anatomic Pathology Residency: Washington University School of Medicine, St. Louis, MO (2006)
Neuropathology Fellowship: Washington University School of Medicine, St. Louis, MO (2008)
Boards
Neuropathology: Board Certified
Anatomic Pathology: Board Certified
Recognition
Robert Terry Award, American Association of Neuropathologists, 2013
Alpha Omega Alpha Medical Honor Society, 2003
Affiliations
Research Interests
Translational Human Neurodegenerative Disease Research to Advance Diagnostics, Understanding, and Treatments
I direct the Translational Human Neurodegenerative Disease Research (THuNDR) Laboratory, which serves as the Neuropathology Core of the Charles F. and Joann Knight Alzheimer Disease Research Center, the Dominantly Inherited Alzheimer Network, the Dominantly Inherited Alzheimer Network – Trials Unit, the Alzheimer Disease Neuroimaging Initiative, and the Washington University Movement Disorders Center. In this role, I perform neuropathologic evaluations of research participant brain donations and support collaborative translational research projects with investigators domestic and international, with a focus on understanding and developing biomarkers and treatments for neurodegenerative diseases.
Selected Publications
Retraction notice to “Generation of a gene-corrected human isogenic iPSC line from an Alzheimer’s disease iPSC line carrying thePSEN1 H163Rmutation” [Stem Cell Res. 79 (2024) 103495]
Publication
Integration of plasma eMTBR-tau243 and p-tau217 in the diagnosis and stratification of Alzheimer's disease: a prospective cohort study
Publication
Longitudinal subcortical volume changes and their correlations with multiple PET and fluid biomarkers in dominantly inherited Alzheimer’s disease
Publication
Predicting the progression of MCI and Alzheimer’s disease on structural brain integrity and other features with machine learning
Publication
Assistant
