The neuroinflammation signatures in different stages of the Alzheimer’s disease continuum
Bibliographic record
Abstract
Abstract Background The natural history of Alzheimer’s disease (AD) comprises a long preclinical stage characterized by pathological changes that start decades before symptoms arise. Despite that AD is defined based on the presence of amyloid‐β (Aβ) and tau pathology, increasing evidence supports neuroinflammation as one of the earliest pathomechanistic alterations throughout the AD continuum. Microglia and astrocytes are key cellular drivers and regulators of neuroinflammation. However, it remains unclear if there are patterns of spatial and temporal susceptibility to neuroinflammatory processes in the brain that may synergize with Aβ and tau accumulation, which drives neurodegeneration in a self‐reinforcing manner. Method This was a cross‐sectional study examining a total number of 283 subjects from the TRIAD cohort at McGill University Research Centre for Studies in Aging, Canada. Cerebral amyloid and tau neurofibrillary tangles were assessed using positron emission tomography (PET) radiopharmaceuticals [18F]AZD4694 ([18F]NAV4694) and [18F]MK6240 respectively. Cerebrospinal fluid (CSF) biomarkers including Aβ42, Aβ40, phosphorylated tau (p‐tau), total tau (t‐tau), neurofilament light (NfL), soluble triggering receptor expressed on myeloid cells 2 (sTREM2), YKL40 and glial fibrillary acidic protein (GFAP) were also measured. Voxelwise analyses were performed to evaluate the relationships between cerebral amyloid load, tau burden and neuroinflammation biomarkers. Result We modelled biomarker changes as a function of amyloid PET standardized uptake value ratio (SUVR) and tau PET SUVR as proxies of disease progression. The earliest changes observed in the AD continuum were the decrease in the Aβ42/40 ratio and the increases in astrocytic biomarkers CSF YKL40 and CSF GFAP. This is followed by a steep increase in CSF pTau231 and, to a lesser extent, CSF pTau217 and CSF pTau181. Voxelwise analyses revealed that YKL40 and GFAP are associated with amyloid and tau load in the brain, after accounting for age, sex, education and pathological status. Conclusion Neuroinflammation involving astrocytic activation is altered very early in the Alzheimer’s continuum and could be targeted as a promising biomarker.
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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) | 0.001 | 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".