The Role of Microglial Cell Subsets in Alzheimers Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alzheimer disease (AD) is characterized by a progressive cognitive decline and accumulation of β-amyloid (Aβ forming senile plaques that are associated with inflammatory molecules and cells. Resident microglia and newly differentiated cells that are derived from the bone marrow are found in the vicinity of Aβ plaques. Although these two types of microglia are not distinguishable by specific markers in the brain, they seem to possess different phenotype and functions. In mouse models of AD, bone marrow-derived microglia (BMDM) have been shown to delay or stop the progression of AD and preventing their recruitment exacerbates the pathology. Transplantation of competent hematopoietic stem cells or their genetic modifications ameliorate cognitive functions, reduce Aβ accumulation and prevent synaptic dysfunctions. Improving the recruitment of genetically-modified BMDM may be considered as a powerful new therapeutic strategy to counteract AD. Here we review the role of microglia subsets in AD and how these cells have a great potential to fight against Aβ accumulation and cognitive impairment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it