<p>CSF VEGF Was Positively Associated with Neurogranin Independent of β-Amyloid Pathology</p>
Bibliographic record
Abstract
PURPOSE: Increasing evidence suggests that both vascular endothelial growth factor (VEGF) and synaptic failure have been involved in the pathogenesis of Alzheimer's disease (AD). However, it is not clear whether CSF VEGF levels are associated with synaptic function in living human. PATIENTS AND METHODS: In the present study, we included a total of 291 older individuals, including 83 individuals with normal cognition (NC), 143 individuals with mild cognitive impairment (MCI) and 65 patients with AD. Several linear regression models were conducted to examine the associations of CSF VEGF with CSF neurogranin levels (NG, reflecting synaptic degeneration) when controlling for other potential confounding factors, including age, gender, years of education, clinical diagnosis, APOE4 genotype and CSF β-amyloid 42 (Aβ 42) levels. RESULTS: There was no significant difference in VEGF levels between the three diagnostic groups. In the pooled sample, females had significantly lower levels of VEGF than males. Aβ-positive (CSF Aβ 42 < 192 pg/mL) individuals had lower levels of VEGF than Aβ-negative individuals. However, the relationships between VEGF and NG levels were not modified by disease stage. Finally, we found that CSF VEGF levels were associated with NG levels with adjustment of age, gender, years of education, clinical diagnosis, APOE4 genotype and CSF Aβ 42 levels. CONCLUSION: CSF VEGF levels were associated with NG independent of AD pathology and disease stage.
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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 | 0.000 | 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".