CSF apolipoprotein B is associated with early tau pathology and selective activation of a cytokine cascade in cognitively unaffected subjects with a parental history of Alzheimer’s disease
Bibliographic record
Abstract
Abstract Background We examine the role of CSF apolipoprotein B (apoB) as a putative indicator of early tau pathology in pre‐symptomatic Alzheimer’s disease (AD). Method Among 129 cognitively unimpaired elderly at increased risk of AD (PREVENT‐AD cohort), we assessed blood and cerebrospinal fluid apoB, apoC3 and apoE protein levels using the the Milliplex APOMAG‐62k human apolipoprotein cardiovascular disease multiplex kit (EMD‐Millipore, MA, USA) with those of amyloid β42, total tau and phosphorylated tau (the Innotest enzyme‐linked immunosorbent assay kit (Fujirebio, Ghent, Belgium). We contrasted results with alterations in several inflammation biomarkers using Luminex’s Milliplex HCYTMAG60PMX29BK xMap technology ((EMD‐Millipore, USA). Result Among cognitively unimpaired participants, we observed significant correlations between baseline CSF, but not blood, apoB levels and both CSF t‐tau (R2 = 0.23, P < 0.0001) and P‐tau (R2 = 0.28, P < 0.0001). No association was detected between CSF apoB and CSF Aβ42 levels. Using multiple brain blood barrier permeability assays, we found that the contribution from peripheral apoB to be negligible. Concomitant analyses of several key cytokines and chemokines in the CSF failed to show any association following FDR correction, except for IL‐15 (R2: 0.38, p < 0.001). IL‐15, a potent inducer of reactive gliosis in both astrocytes and microglia, is normally synthesized by compromised neurons in the CNS. Conclusion CSF apoB, which is normally produced by microglia, markedly associates with early tau dysregulation and the activation of select cytokines in asymptomatic subjects, years before the onset of symptoms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".