Disrupted Lipid Homeostasis as a Pathogenic Mechanism in <i>ABCA7</i> -Associated Alzheimer’s Disease Risk
Bibliographic record
Abstract
Abstract INTRODUCTION ABCA7 ( ATP-binding cassette sub-family A member 7 ) encodes a lipid transporter linked to Alzheimer’s disease (AD). While common variants confer modest risk in Europeans, a 44-base pair deletion (rs142076058; p.Arg578Alafs) is a strong risk factor in African Americans (AA). Despite this, the biological consequences of this ancestry-specific variant are not well understood. METHODS We expressed the truncated ABCA7 protein in HEK and HepG2 cells to assess localization and lipid metabolism. Additionally, induced pluripotent stem cell (iPSC)-derived neurons carrying the deletion were compared with isogenic controls. RESULTS The truncated ABCA7 localized to the plasma membrane similarly to wild type but induced significant lipid droplet accumulation in HepG2 cells and iPSC-derived neurons. DISCUSSION These findings show that the AA-specific ABCA7 deletion disrupts lipid regulation despite normal localization, suggesting a mechanistic link between impaired lipid homeostasis and increased AD risk. This work underscores the importance of ancestry-specific studies in AD research. Highlights Truncated ABCA7 protein remains stable and correctly localizes to the plasma membrane in HEK293T cells. Truncated ABCA7 disrupts lipid droplet regulation in HepG2 cells. ABCA7 shows the highest expression in neurons among brain cell types. ABCA7 truncation impairs lipid metabolism in neurons.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".