Resident Intimal Dendritic Cells Accumulate Lipid and Contribute to the Initiation of Atherosclerosis
Bibliographic record
Abstract
RATIONALE: Atherosclerosis is an inflammatory disease in which leukocytes and oxidatively modified lipids accumulate in the arterial intima. Previously, we showed that dendritic cells (DCs) accumulate preferentially in regions predisposed to atherosclerosis in the normal murine aortic intima. The function of these cells in atherogenesis is unknown. OBJECTIVE: Our goal was to determine the role of resident intimal DCs in the initiation of atherosclerosis. METHODS AND RESULTS: En face immunostaining of nascent atherosclerotic lesions in low-density lipoprotein receptor-deficient (Ldlr(-/-)) mice fed a cholesterol-rich diet for 5 or 10 days demonstrated that foam cells expressed DC markers CD11c, 33D1, and major histocompatibility complex class II. Transmission electron microscopy revealed that the majority of intimal lipid was intracellular. The role of resident intimal DCs in lesion formation was verified by their conditional depletion using transgenic mice expressing the simian diphtheria toxin receptor in CD11c(+) cells. A single injection of diphtheria toxin depleted intimal CD11c(+) DCs by >98% within 24 hours, with 25% and 75% recovery at 1 and 3 weeks, respectively. When bred onto the Ldlr(-/-) background, intimal DC depletion with diphtheria toxin during 5 days of lesion formation reduced the intimal lipid area by 55% relative to undepleted controls. Transmission electron microscopy revealed few foam cells in DC-depleted mice and abundant accumulation of subendothelial extracellular lipid. CONCLUSIONS: Induction of hypercholesterolemia in mice triggers rapid ingestion of lipid by resident intimal DCs, which initiate nascent foam cell lesion formation.
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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 | 0.001 |
| 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".