Protective ApoE variants support neuronal function by extracting peroxidated lipids
Bibliographic record
Abstract
SUMMARY ApoE mediates the transport of lipids from neurons to glial lipid droplets. ApoE4, a major risk factor for Alzheimer’s disease, impairs this transport pathway, increasing risk for neurodegeneration. ApoE2 and ApoE3 Christchurch (ApoE3Ch) variants confer resistance to developing the disease, yet little is known regarding how these protective variants affect lipid transport. Here, we explored how lipoprotein particles containing different ApoE isoforms affect neuronal health in vitro and in intact rodent hippocampi. We demonstrate that ApoE2 and ApoE3Ch particles protect neurons from ferroptosis by preferentially extracting peroxidated unsaturated lipids through the neuronal ABCA7 transporter. ApoE4 particles, on the other hand, exacerbate the effects of these toxic lipids leading to endolysosomal dysfunction. By reducing the peroxidated lipid burden in ApoE4 neurons, ApoE2 and ApoE3Ch particles rescue endolysosomal function and restore defects in neuronal activity. Our findings reveal a new mechanism by which ApoE2 and ApoE3Ch isoforms protect neurons from neurodegenerative disease. Highlights ApoE2 and ApoE3Ch reduce neuronal ferroptosis by peroxidated lipid efflux via ABCA7 Lysosomal defects caused by lipid peroxidation are rescued by ApoE2 and ApoE3Ch ApoE2 and ApoE3Ch particles protect ApoE4 hippocampi from toxicity ApoE2 and ApoE3Ch particles rescue impaired neuronal activity in ApoE4 hippocampi
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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) | 0.003 | 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".