Hippocampal degeneration is associated with GFAP levels in individuals with vascular dementia independently of amyloidosis
Bibliographic record
Abstract
BACKGROUND: Vascular cognitive impairment/dementia (VD) is the second most prevalent cause of dementia following Alzheimer's disease (AD). VD is characterized by the progression of white matter hyperintensity burden (WMH) and associated neurodegeneration. GFAP, a biomarker for reactive astrogliosis, is associated with Aβ pathology and mediates tau-pathology in preclinical AD. However, the association of GFAP levels with the markers associated with VD is poorly understood. METHOD: We assessed 796 participants from a research cohort (TRIAD: 355) and a memory clinic cohort (BICWALZ: 441) that were divided into four groups according to their Aβ (Aβ+/Aβ-) and WMH status (WMH+/WMH-). WMH values were corrected by intracranial volume, and cutoffs were determined based on the highest WMH value within 50% of the individuals with the lowest WMH rate in the CU Aβ- group. Biomarker mean level differences between groups were estimated via Ancova Tukey's test, and linear regressions accounting for age, sex, and cognitive status were used to estimate the association. RESULT: For TRIAD, WMH+/Aβ+ individuals exhibit higher levels of plasma GFAP when compared to all groups except WMH-/Aβ+, with no differences in NfL levels and hippocampal volume between groups (Fig. 1A). In BICWALZ, only hippocampal volume differs between groups with lower levels observed in both WMH-/Aβ- and WMH-/Aβ+ (Fig. 1B''). The association of GFAP and NfL was observed in all groups (Fig. 2A, 2B'). On the other hand, hippocampal degeneration was associated with higher GFAP levels in individuals with abnormal WMH and absence of Aβ burden in both cohorts (Fig. 3A: TRIAD: β = -0.3036; p = 0.0195; Fig. 3B': BICWALZ: β = -0.1791; p = 0.0125). CONCLUSION: Our findings suggest that astrocyte reactivity, as indicated by plasma GFAP levels, plays a significant role in the hippocampal atrophy observed in patients with vascular disease. These results suggest that therapies targeting astrocyte reactivity could potentially alleviate progressive cognitive deficits commonly found in patients with chronic vasculopathy.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".