Both the low-density lipoprotein receptor and apolipoprotein E define blood-borne high-density lipoprotein entry into the brain
Bibliographic record
Abstract
Abstract Data from epidemiological and genetic studies as well as animal experiments indicate that high-density lipoproteins (HDL) play a role in the pathogenesis of central nervous system (CNS) diseases. Apolipoprotein A-I, the major protein of HDL, has been immunolocalized in the brain although it is produced exclusively by the liver and intestine. We therefore investigated how HDL cross the blood-brain barrier (BBB), using both in vitro and in vivo approaches. In vitro , we found that HDL bind to, are internalized by, and are transported through human brain endothelial cells via mechanisms involving the scavenger receptor BI (SR-BI) and the low-density lipoprotein receptor (LDLR). Notably, we discovered that LDLR facilitates only the transport of HDL particles containing apolipoprotein E (apoE). In vivo, HDL injected into the bloodstream enter into the brain through brain endothelial cells, and accumulated in medulla, cerebellum, olfactory bulb, hippocampus and cortex. Further investigation in Ldlr -/- mice revealed region-specific changes in HDL accumulation with reduced levels in the medulla and mixture of midbrain/cortex/hippocampus, no change in the olfactory bulb, and increased levels in the cerebellum. Together, these findings provide new insight on the interaction of the lipoprotein metabolism between the periphery and CNS. For the first time, we show that brain endothelial receptors and HDL composition jointly dictate HDL’s crossing through the BBB and their localization within the brain.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".