Identification of tau’s point of origin can potentially lead to improved treatments and intervention design.
Using an automated PET imaging analysis strategy, providers can follow how tau protein clumps develop in the brains of people who have Alzheimer’s disease. It is a method that could shed light on better ways to treat the neurodegenerative disease.
Investigators from Massachusetts General Hospital created and used this analysis method to measure tau progression in patients who were in varying stages of Alzheimer’s. They found that, before it spreads throughout the brain, tau signal initially appears in the rhinal cortex, separately from beta-amyloid.
The team, led by senior author Keith Johnson, M.D., professor of radiology at Harvard Medical School and co-director of the Neuroimaging Program of the Massachusetts Alzheimer’s Disease Research Center, and first author Justin Sanchez, with the Gordon Center for Medical Imaging, published their findings in the Jan. 20 Science Translational Medicine. Based on their work, they concluded that focusing treatments on rhinal cortex tau could slow Alzheimer’s progression.
Four views of the origin of tauopathy in vivo. Left, TAU PET images for a cognitively normal person; right: top, 3D rendering of brain surface with TAU PET overlay; bottom, flat map showing topographic detail of surface anatomy with TAU origin identified in white outline. CREDIT: Justin Sanchez and Keith Johnson, Massachusetts General Hospital
“These findings suggest that [the rhinal cortex] is a biomarker of downstream tau spread…with potential utility for therapeutic trials in which reduction of tau spread is an outcome measure,” the team said.
Related Content: MRI and PET Reveal Link Between Blood Flow and Tau Accumulation in Alzheimer’s Patients
Existing Alzheimer’s treatments have had limited efficacy because they only come into play after tau has already spread in the brain, the team explained. Having a better understanding of where tau first appears and how it infiltrates the brain can, potentially, make it easier to design better treatment options.
To create their automated anatomic sampling method, the team leaned heavily on existing work around molecular PET measurements of specific tau-vulnerable convolutional temporal lobe anatomy. They, then, put their strategy to use, measuring tau signals on PET scans of 443 adult participants, including 55 individuals who had an Alzheimer’s diagnosis, who were enrolled in several Alzheimer’s observational studies. They included patients from various ages, beta-amyloid burdens, and clinical impairment levels.
Based on their analysis, they saw that tau initially appears in the rhinal sulcus of clinically normal people. But, in a smaller group of 104 participants followed for two years, they tracked the beta amyloid-associated spread of tau from the rhinal sulcus to the neocortex of the temporal lobe and on to the extratemporal regions. Ultimately, they determined that more significant tau spread was associated baseline measures for both global beta-amyloid burden and medial temporal lobe tau.
“These findings are consistent with clinicopathological correlation studies of Alzheimer’s tauopathy and enable precise tracking at [Alzheimer’s disease]-related tau progression for natural history studies and prevention therapeutic trials,” they concluded.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
Key Chest CT Parameters for Body Composition May be Prognostic for Patients with Resectable NSCLC
February 11th 2025A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), according to new research.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
February 6th 2025The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.