Neuronal ROS-Induced Glial Lipid Droplet Formation is Altered by Loss of Alzheimer’s Disease-associated Genes
Bibliographic record
Abstract
Summary A growing list of Alzheimer’s disease (AD) genetic risk factors is being identified, but the contribution of these genetic mutations to disease remains largely unknown. Accumulating data support a role of lipid dysregulation and excessive ROS in the etiology of AD. Here, we identified cell-specific roles for eight AD risk-associated genes in ROS-induced glial lipid droplet (LD) formation. We demonstrate that ROS-induced glial LD formation requires two ABCA transporters ( ABCA1 and ABCA7 ) in neurons, the APOE receptor ( LRP1 ), endocytic genes ( PICALM , CD2AP , and AP2A2 ) in glia, and retromer genes ( VPS26 and VPS35 ) in both neurons and glia. Moreover, ROS strongly enhances Aβ42-toxicity in flies and Aβ42-plaque formation in mice. Finally, an ABCA1-activating peptide restores glial LD formation in the APOE4-associated loss of LD. This study places AD risk factors in a neuron-to-glia lipid transfer pathway with a critical role in protecting neurons from ROS-induced toxicity.
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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 | 0.000 |
| 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 | 0.001 |
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".