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Record W2309233825 · doi:10.1161/atvb.34.suppl_1.50

Abstract 50: High-Density Lipoprotein Protects Macrophages Against Apoptosis in a PDZK1-Dependent Manner

2014· article· en· W2309233825 on OpenAlexaff
Pei Yu, Yi Zhang, Bernardo L. Trigatti

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsApoptosisTUNEL assayThapsigarginTerminal deoxynucleotidyl transferaseTunicamycinMacrophageCell biologyMolecular biologyBiologyChemistryCancer researchIn vitroBiochemistryUnfolded protein response

Abstract

fetched live from OpenAlex

Macrophage apoptosis contributes to the formation of necrotic cores in atherosclerotic plaques, increasing the risk of plaque rupture, leading to clinical heart attack. Previous work from our group showed that HDL is able to protect macrophages against apoptosis, and that such protection requires HDL’s receptor protein scavenger receptor class B, type I (SR-BI). In this study, we hypothesize that this protection requires not only SR-BI, but also SR-BI’s adaptor protein PDZK1. We incubated mouse peritoneal macrophages with or without lipoproteins and triggered apoptosis with thapsigargin or tunicamycin. Cell apoptosis was assessed by annexinV, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) and cleaved caspase-3 staining. Only low levels (~5% of cells) of apoptosis were observed in macrophages treated with thapsigargin or tunicamycin when they were cultured with lipoproteins. However thapsigargin or tunicamycin stimulated apoptosis increased ~4 fold when lipoproteins were removed from the culture medium. The addition of 50μg/ml of purified HDL (P<0.05), but not LDL, to lipoprotein-deficient medium suppressed apoptosis. However, HDL did not inhibit cell apoptosis when PDZK1 was deleted. Our time-course study showed that incubation with HDL increased phosphorylation of Akt1, Foxo3a and Erk1/2 and reduced Bim in wild type (WT), but not PDZK1-/- macrophages. In order to test the role of PDZK1 in vivo, LDLR-/- mice were transplanted with either PDZK1-/- (n=12) or WT (n=12) bone marrow and challenged with high fat diet to induce atherosclerosis. The cross-sections of aortic sinus were stained with H&E to visualize plaques. The relative necrotic core area was significantly larger (P<0.05) in PDZK1-/- group (98187.2±8076.1) than that in WT control (27279.6±16688.7). Also, compared to LDLR-/- mice transplanted with WT bone marrow, the ones with PDZK1-/- bone marrow have 2.2-fold increased TUNEL(+) (P<0.05) and 3.6-fold increased cleaved caspase-3(+) (P<0.01) macrophages in plaques. In conclusion, PDZK1 is required for the HDL-dependent protection against macrophage apoptosis. In atherosclerotic plaques, PDZK1 plays a role in protecting macrophages from apoptosis and suppressing the development of necrotic cores.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.013
GPT teacher head0.240
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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