PDZK1 in leukocytes protects against cellular apoptosis and necrotic core development in atherosclerotic plaques in high fat diet fed ldl receptor deficient mice
Bibliographic record
Abstract
BACKGROUND AND AIMS: PDZK1 (Post-synaptic density protein/Drosophila disc-large protein/Zonula occludens protein containing 1) stabilizes the HDL receptor protein, SR-B1, in the liver, and mediates SR-B1 signaling outside of the liver. Complete knockout of pdzk1 increases atherosclerosis in apoE-deficient mice, but the effect of PDZK1 in leukocytes is not known. In this study, we tested the role of leukocyte PDZK1 in atherosclerosis development by using bone marrow transplantation to generate ldlr deficient mice lacking PDZK1 in leukocytes. METHODS: bone marrow and fed a high-fat diet to induce atherosclerosis. RESULTS: Bone marrow specific pdzk1 knockout slightly increased atherosclerotic plaque sizes but strikingly increased sizes of necrotic cores and cellular apoptosis in within plaques. PDZK1 deficiency prevented HDL dependent protection of macrophages from apoptosis in vitro and sensitized peritoneal macrophages to apoptosis in situ. PDZK1 deficiency in macrophages also impaired their ability to engulf apoptotic cells, and attenuated the IL-4 dependent induction of mannose receptor in vitro and mannose receptor protein levels in macrophages in atherosclerotic plaques. CONCLUSIONS: PDZK1 is required for anti-atherogenic responses in macrophages including HDL dependent protection against apoptosis and macrophage mediated efferocytosis and limits the accumulation of apoptotic cells within atherosclerotic plaques protecting against necrotic core development.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".