Expression of ABCG1, but Not ABCA1, Correlates with Cholesterol Release by Cerebellar Astroglia
Bibliographic record
Abstract
Central nervous system lipoproteins mediate the exchange of cholesterol between cells and support synaptogenesis and neuronal growth. The primary source of lipoproteins in the brain is astroglia cells that synthesize and secrete apolipoprotein (apo) E in high density lipoprotein-like particles. Small quantities of apoA1, derived from the peripheral circulation, are also present in the brain. In addition to the direct secretion of apoE-containing lipoproteins from astroglia, glia-derived lipoproteins are thought to be formed by cholesterol efflux to extracellular apolipoproteins via ATP-binding cassette (ABC) transporters. We used cultured cerebellar murine astroglia to investigate the relationship among cholesterol availability, apoE secretion, expression of ABCA1 and ABCG1, and cholesterol efflux. In many cell types, cholesterol content, ABCA1 expression, and cholesterol efflux are closely correlated. In contrast, cholesterol enrichment of glia failed to increase ABCA1 expression, although ABCG1 expression and cholesterol efflux to apoA1 were increased. Moreover, the liver X receptor (LXR) agonist TO901317 up-regulated ABCA1 and ABCG1 expression in glia without stimulating cholesterol efflux. Larger lipoproteins were generated when glia were enriched with cholesterol, whereas treatment with the LXR agonist produced smaller particles that were eliminated when the glia were loaded with cholesterol. We also used glia from ApoE(-/-) mice to distinguish between direct lipoprotein secretion and the extracellular generation of lipoproteins. Our observations indicate that partially lipidated apoE, secreted directly by glia, is likely to be the major extracellular acceptor of cholesterol released from glia in a process mediated by ABCG1.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".