Clinicopathologic Heterogeneity and Glial Activation Patterns in Alzheimer Disease

Article Properties
  • Language
    English
  • Publication Date
    2024/04/15
  • Journal
  • Indian UGC (Journal)
  • Refrences
    42
  • Naomi Kouri Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Isabelle Frankenhauser Department of Neuroscience, Mayo Clinic, Jacksonville, FloridaParacelsus Medical Private University, Salzburg, Austria
  • Zhongwei Peng Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Sydney A. Labuzan Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Baayla D. C. Boon Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Christina M. Moloney Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Cyril Pottier Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Daniel P. Wickland Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Kelsey Caetano-Anolles Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Nick Corriveau-Lecavalier Department of Radiology, Mayo Clinic, Rochester, MinnesotaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota
  • Jessica F. Tranovich Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Ashley C. Wood Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Kelly M. Hinkle Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Sarah J. Lincoln Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • A. J. Spychalla Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Matthew L. Senjem Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Scott A. Przybelski Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
  • Erica Engelberg-Cook Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Christopher G. Schwarz Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Rain S. Kwan Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Elizabeth R. Lesser Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Julia E. Crook Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Rickey E. Carter Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
  • Owen A. Ross Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Christian Lachner Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida
  • Nilüfer Ertekin-Taner Department of Neuroscience, Mayo Clinic, Jacksonville, FloridaDepartment of Neurology, Mayo Clinic, Jacksonville, Florida
  • Tanis J. Ferman Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida
  • Julie A. Fields Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
  • Mary M. Machulda Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
  • Vijay K. Ramanan Department of Neurology, Mayo Clinic, Rochester, Minnesota
  • Aivi T. Nguyen Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
  • R. Ross Reichard Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
  • David T. Jones Department of Radiology, Mayo Clinic, Rochester, MinnesotaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota
  • Jonathan Graff-Radford Department of Neurology, Mayo Clinic, Rochester, Minnesota
  • Bradley F. Boeve Department of Neurology, Mayo Clinic, Rochester, Minnesota
  • David S. Knopman Department of Neurology, Mayo Clinic, Rochester, Minnesota
  • Ronald C. Petersen Department of Neurology, Mayo Clinic, Rochester, Minnesota
  • Clifford R. Jack Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Kejal Kantarci Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Gregory S. Day Department of Neurology, Mayo Clinic, Jacksonville, Florida
  • Ranjan Duara Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, Florida
  • Neill R. Graff-Radford Department of Neurology, Mayo Clinic, Jacksonville, Florida
  • Dennis W. Dickson Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
  • Val J. Lowe Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Prashanthi Vemuri Department of Radiology, Mayo Clinic, Rochester, Minnesota
  • Melissa E. Murray Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
Abstract
Cite
Kouri, Naomi, et al. “Clinicopathologic Heterogeneity and Glial Activation Patterns in Alzheimer Disease”. JAMA Neurology, 2024, https://doi.org/10.1001/jamaneurol.2024.0784.
Kouri, N., Frankenhauser, I., Peng, Z., Labuzan, S. A., Boon, B. D. C., Moloney, C. M., Pottier, C., Wickland, D. P., Caetano-Anolles, K., Corriveau-Lecavalier, N., Tranovich, J. F., Wood, A. C., Hinkle, K. M., Lincoln, S. J., Spychalla, A. J., Senjem, M. L., Przybelski, S. A., Engelberg-Cook, E., Schwarz, C. G., … Murray, M. E. (2024). Clinicopathologic Heterogeneity and Glial Activation Patterns in Alzheimer Disease. JAMA Neurology. https://doi.org/10.1001/jamaneurol.2024.0784
Kouri N, Frankenhauser I, Peng Z, Labuzan SA, Boon BDC, Moloney CM, et al. Clinicopathologic Heterogeneity and Glial Activation Patterns in Alzheimer Disease. JAMA Neurology. 2024;.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Neurology
Diseases of the nervous system
Description

Is Alzheimer's a single disease, or a spectrum of conditions? This study investigates the clinicopathologic and neuroimaging characteristics of heterogeneity in Alzheimer disease (AD), examining how tangle distribution relates to glial activation. Understanding this variability is essential for advancing personalized AD therapies. The study analyzes data from the Florida Autopsied Multiethnic (FLAME) cohort, using the corticolimbic index (CLix) to quantify tangle distribution at autopsy. Structural MRI and tau positron emission tomography (PET) were evaluated in an independent neuroimaging group. The research correlates clinical factors with CLix scores and assesses glial activation patterns using digital pathology. Findings reveal that AD heterogeneity exists along a continuum of corticolimbic tangle distribution, with reduced CD68 burden potentially signifying an underappreciated association between tau accumulation and microglia/macrophages activation. This association should be considered in personalized therapy for immune dysregulation. These findings provide a more nuanced understanding of AD, suggesting that personalized therapies targeting specific disease subtypes and immune dysregulation may be more effective than a one-size-fits-all approach.

Published in JAMA Neurology, this study aligns with the journal's focus on understanding and treating neurological disorders. By examining the heterogeneity of Alzheimer's disease and its association with glial activation, the research contributes to the journal's mission of advancing knowledge in neurology and improving patient care through personalized therapeutic strategies.

Refrences
Refrences Analysis
The category Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 70 is the most frequently represented among the references in this article. It primarily includes studies from Acta Neuropathologica The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year