Does a Pro-Inflammatory Process Precede Alzheimers Disease and Mild Cognitive Impairment?
Bibliographic record
Abstract
The occurrence of a plaque-dependent inflammation in Alzheimer's disease has been extensively documented in both human specimens and transgenic models of the disease. Since insoluble plaques are present in AD patients from early preclinical stages of the pathology, the point at which neuroinflammation first occurs in the progression of the AD pathology is still unknown. In this review we discuss the clinical and experimental evidence for the occurrence of inflammation in preclinical, asymptomatic phases of the progression of the AD pathology. In particular, we discuss the evidence from different transgenic models suggesting that a pro-inflammatory process might even be initiated prior to plaque deposition. The factors responsible for the early, pre-plaque inflammation are reviewed, with particular emphasis on the role of soluble Aβ oligomers. Furthermore, we analyze the consequences of the microglial activation and the deregulation of NGF metabolism, in the context of the earliest amyloid pathology. Finally, we propose MMP-9 as a promising biomarker for signalling early stages of an ongoing CNS inflammation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".