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Combined plasma p-tau217 and tau-PET identify high-risk patients with hazard ratios up to 9.98Blood Tests and Brain Scans Help Predict Alzheimer Disease Progress

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Key Takeaway
Note that combined p-tau217 and tau-PET identifies high-risk patients for more precise trial prioritization.

This observational study evaluated 330 cognitively unimpaired, Amyloid-beta (Aβ)-positive older adults to assess the predictive value of combined biomarkers. The study compared four profiles based on plasma p-tau217 and tau-PET visual assessment: T- T- (57%), discordant T+ T- and T- T+ (24% total), and positive-concordant T+ T+ (19%).

Results showed that the T+ T+ group exhibited the strongest neocortical tau progression in a fronto-temporo-parietal pattern (p(FDR) < 0.05). This group also experienced the fastest cognitive decline, measured by PACC (d = -1.84, p < 0.001), and the highest hazard of progression to advanced clinico-biological stages (HR = 3.03, HR = 9.98, p < 0.001).

Limitations include the possibility that discordant profiles represent earlier or low-tau states and the need for refined tau-PET visual assessment beyond binary classification. While these findings suggest improved risk prediction for trial prioritization, the results are based on a specific cohort (A4 Study) and may not generalize to all populations.

How this fits prior evidence

How this fits prior evidence: This study addresses a gap in identifying high-risk patients for clinical trials. While previous coverage noted that single-target amyloid-beta and tau therapies have not shown clear clinical benefit in Alzheimer's disease, this finding suggests that combining plasma p-tau217 and tau-PET can better identify individuals with the highest risk of progression.

Researchers looked at a group of 330 older adults who showed signs of amyloid buildup but did not yet have significant memory loss. They combined two different methods to track the disease: a blood test measuring p-tau217 and a brain scan called tau-PET. This approach helped them identify specific patterns in how the disease might progress.

The study found that people who showed positive results on both the blood test and the brain scan experienced the fastest decline in cognitive performance. These individuals also had the highest risk of moving into advanced stages of the disease. People with mixed results or negative results on one or both tests showed slower progression, which may suggest they are in earlier stages of the condition.

Because this was an observational study using a specific group of people, the results might not apply to everyone. The brain scan method used also had some limitations and may need more refinement. These findings are intended to help doctors better identify high-risk patients for future clinical trials and specialized care.

What this means for you:
Combining blood tests with brain scans can help identify individuals at higher risk for faster Alzheimer progression.

Common questions

How does this test work for Alzheimer's?

This method combines a blood test measuring p-tau217 with a brain scan called tau-PET. By looking at both results together, doctors can better identify which patients are likely to experience faster cognitive decline and move into advanced stages of the disease.

Who is this finding helpful for?

This approach is specifically useful for older adults who have amyloid buildup but do not yet show significant memory loss. It helps identify high-risk individuals in the early, preclinical stages of Alzheimer's disease to help with better risk prediction.

What did the study find about different results?

People who tested positive on both the blood test and the brain scan showed the fastest cognitive decline. Those with discordant results, meaning they were positive on only one of the two tests, showed much slower progression over the 5-year follow-up period.

Study Details

Study typeRct
EvidenceLevel 2
Follow-up57.6 mo
PublishedJun 2026
View Original Abstract ↓
BACKGROUND: Tau pathology biomarkers provide prognostic indicators of neurodegeneration and cognitive decline in Alzheimer's disease (AD), making them crucial to early patient stratification for disease-modifying interventions. Plasma p-tau217 indexes early tau pathophysiology, whereas FDA/EMA-approved [F]flortaucipir PET (tau-PET) visual assessments indicate advanced neurofibrillary tangle pathology. Here, we identified concordant and discordant profiles based on combined plasma p-tau217 status and tau-PET visual assessments in cognitively unimpaired amyloid-β (Aβ)-positive older adults and investigated whether these profiles delineate distinct longitudinal trajectories of Aβ and tau accumulation, neurodegeneration, and cognitive decline. METHODS: We included 330 cognitively unimpaired Aβ-PET-positive participants (72.2 ± 4.8 years; 58% female; 48% randomized to receive solanezumab) from the A4 Study, who underwent plasma p-tau217 and tau-PET at baseline. Plasma positivity (T +) followed A4 core criteria as previously reported (≥ 0.28 U/mL), while tau-PET positivity (T +) was determined by three expert visual readers with strong inter-rater agreement (κ = 0.954). Participants were stratified as T[- / +]T[- / +] at baseline and were followed for 5.0 ± 1.7 years. Baseline and longitudinal differences in regional Aβ- and tau-PET SUVR, MRI-measured gray-matter (GM) volume, and cognitive performance were examined using ANCOVA and mixed-effects models. All models accounted for treatment, with additional sensitivity analyses excluding treated participants. RESULTS: At baseline, 57% were negative-concordant (T - T - : n = 187), 24% were discordant (T + T - : n = 53; T - T + : n = 27), and 19% were positive-concordant (T + T + : n = 63). T + T + profile constituted the highest-risk state, showing the greatest baseline cortical Aβ burden, the strongest neocortical tau progression (fronto-temporo-parietal pattern; p(FDR) < 0.05), marked baseline atrophy with accelerated longitudinal GM loss in overlapping regions, and the fastest cognitive decline (PACC: d = -1.84, p < 0.001). Consistently, T + T + exhibited the highest hazard of progression to more advanced clinico-biological stages over follow-up (HR = 3.03, HR = 9.98; p < 0.001). Discordant profiles showed comparatively limited progression, suggesting earlier or low-tau states. Results were essentially unchanged after excluding treated participants. CONCLUSIONS: Integrating plasma p-tau217 with tau-PET visual assessment reveals clinically meaningful tau-biomarker heterogeneity in preclinical AD. Our findings highlight the value of combining these biomarkers to refine early risk prediction and support prioritization strategies for prevention trials. The frequency of discordance also motivates refining tau-PET visual assessments beyond binary classification (e.g., ordinal/semi-quantitative staging) to better capture subtle early tau signal.
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