Association of Blood‐Based Biomarkers: GFAP, Amyloid 42/40 and Perivascular Spaces in Relation to Cognitive Domains in Vascular Cognitive Impairment Participants
Bibliographic record
Abstract
Abstract Background Perivascular spaces (PVS) are fluid‐filled spaces in the brain, hypothesized in promoting clearance of metabolites implicated in dementia through glymphatic system drainage. PVS are classified according to Grades (0‐4). Blood‐based biomarkers including Glial fibrillary acidic protein (GFAP), Amyloid β 42/40 (Aβ42/40) ratio have shown promise in diagnosing and prognosing dementia. However, the association between blood‐based biomarkers and PVS remains relatively unexplored in Vascular Cognitive Impairment (VCI) participants. Thus, this study aims to characterize association between blood‐based biomarkers and PVS in relation to cognitive domains in VCI participants. Method Participants from the Biomarkers and Cognition Study, Singapore were included and VCI was defined in participants with confluent white matter hyperintensities (WMH), >1 lacunae and Montreal Cognitive Assessment (MoCA) score <26. 108 participants (mean age 67.3, education years 13.3, 51.9% females) were included. Normality tests, multivariate ordinal correlation analysis was performed to understand association between blood‐based biomarkers and PVS grade, with correction for age, diastolic blood pressure and WMH. Aβ42/40 and GFAP ratio values of 0.05 and 54.1pg/ml were utilized to segregate VCI participants to different subgroups (high vs low levels) and their association with cognitive domain performance was assessed. Result Higher GFAP (p=0.026) and lower Aβ42/40 ratio (p=0.049) was associated with higher PVS grade. In the low Aβ42/40 ratio subgroup, higher PVS grade was most significantly associated with executive function impairment (p = 0.045, β = 0.612). For the subgroups of high Aβ42/40 ratio (p=0.017, β = 0.325), low GFAP (p = 0.027, β = 0.610), high GFAP (p = 0.006, β = 0.375), higher PVS grade was most significantly associated with learning and memory impairment. Conclusion These results demonstrate that low Aβ42/40 ratio, high GFAP levels were associated with higher PVS grade in VCI participants, suggesting their utility as markers for VCI. Furthermore, higher PVS Grade in VCI participants with low Aβ42/40 ratio were associated with executive function impairment compared to other subgroups which were associated with learning and memory impairment. This could be an important clinical marker when examining patients with high PVS Grade as it could be associated with a more sinister disease progression.
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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 | 0.000 | 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) | 0.002 | 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".