Evidence against a temporal association between cerebrovascular disease and Alzheimer’s disease imaging biomarkers

Petrice M. Cogswell (), Emily S. Lundt, Terry M. Therneau, Carly T. Mester, Heather J. Wiste, Jonathan Graff-Radford, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Robert I. Reid, Scott A. Przybelski, David S. Knopman, Prashanthi Vemuri, Ronald C. Petersen and Clifford R. Jack
Additional contact information
Petrice M. Cogswell: Mayo Clinic
Emily S. Lundt: Mayo Clinic
Terry M. Therneau: Mayo Clinic
Carly T. Mester: Mayo Clinic
Heather J. Wiste: Mayo Clinic
Jonathan Graff-Radford: Mayo Clinic
Christopher G. Schwarz: Mayo Clinic
Matthew L. Senjem: Mayo Clinic
Jeffrey L. Gunter: Mayo Clinic
Robert I. Reid: Mayo Clinic
Scott A. Przybelski: Mayo Clinic
David S. Knopman: Mayo Clinic
Prashanthi Vemuri: Mayo Clinic
Ronald C. Petersen: Mayo Clinic
Clifford R. Jack: Mayo Clinic

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Whether a relationship exists between cerebrovascular disease and Alzheimer’s disease has been a source of controversy. Evaluation of the temporal progression of imaging biomarkers of these disease processes may inform mechanistic associations. We investigate the relationship of disease trajectories of cerebrovascular disease (white matter hyperintensity, WMH, and fractional anisotropy, FA) and Alzheimer’s disease (amyloid and tau PET) biomarkers in 2406 Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center participants using accelerated failure time models. The model assumes a common pattern of progression for each biomarker that is shifted earlier or later in time for each individual and represented by a per participant age adjustment. An individual’s amyloid and tau PET adjustments show very weak temporal association with WMH and FA adjustments (R = −0.07 to 0.07); early/late amyloid or tau timing explains

Date: 2023
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DOI: 10.1038/s41467-023-38878-8

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