Relationship of Plasma <i>p</i> ‐tau217 and Mild Behavioral Impairment in Elderly Individuals Without Dementia
Bibliographic record
Abstract
BACKGROUND: Mild Behavioral Impairment (MBI) involves the late-onset, sustained emergence of neuropsychiatric symptoms (NPS) in predementia populations. Prior studies examining amyloid and tau PET in relation to MBI have shown a link to amyloid burden but not to tau. However, the role of plasma biomarkers in MBI remains uncertain. In this study, we aimed to determine whether MBI is associated with plasma p-tau217 levels in older adults without dementia. METHOD: We included 168 older adults (136 cognitively unimpaired [CU] and 32 with mild cognitive impairment [MCI] ) from the TRIAD cohort. Participants had amyloid status assessed by [18F]AZD4694 Aβ-PET. Plasma p-tau217 levels were quantified using the Janssen Simoa Assay. MBI was assessed using the Mild Behavioral Impairment Checklist (MBI-C), global cognition was measured with the Mini-Mental State Examination (MMSE) and the sum of boxes of the Clinical Dementia Rating (CDR-SB). Multivariable linear regression analyses examined associations between plasma p-tau217 and MBI-C total and subdomain scores, adjusting for age, sex, and CDR-SB. RESULT: When controlling for age and sex, higher p-tau217 levels were significantly associated with increased MBI-C total (β = 15.97, p = 0.03), emotion dysregulation (β = 5.98, p = 0.017), and impulse dyscontrol (β = 7.92, p = 0.012). However, these associations did not remain significant once CDR-SB was included in the model. Instead, MBI-C total and its subdomains emotion dysregulation, impulse dyscontrol, and motivation were related only to cognitive status. CONCLUSION: These findings suggest that p-tau217 could play a role in MBI, particularly in the impulse dyscontrol and emotion dysregulation domains, neuropsychiatric symptoms which have been previously linked to Alzheimer's disease. However, overall cognitive status emerged as the strongest predictor of these behavioral symptoms in older adults. Further research is warranted to clarify how p-tau217 levels and cognitive decline interact to influence the risk and progression of MBI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".