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Record W2619928624 · doi:10.1161/atvb.32.suppl_1.a240

Abstract 240: High-Density Lipoproteins Augment Hypoxia-Induced Angiogenic Regulation via Mediators in the HIF-1α Signaling Pathway

2012· article· en· W2619928624 on OpenAlexaff
Joanne T. M. Tan, Hamish Prosser, Laura Z. Vanags, M. Ng, Christina A. Bursill

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAngiogenesisHypoxia (environmental)NeovascularizationBiologySignal transductionHypoxia-inducible factorsInternal medicineHIF1AEndocrinologyCell biologyChemistryCancer researchMedicineBiochemistryGene

Abstract

fetched live from OpenAlex

Background: Angiogenesis plays a critical role in tissue neovascularization in response to ischemia, particularly in collateral vessel development following myocardial infarction (MI). One of the key pathways involved in hypoxia-induced angiogenesis is the HIF-1α/VEGF pathway. High-density lipoproteins (HDL) are associated with improved survival and prognosis following MI, suggesting that it may play a role in hypoxia-induced angiogenic regulation. We assessed the hypothesis that HDL regulates the HIF-1α/VEGF pathway in vitro . Methods: Human coronary artery endothelial cells (HCAECs) were pre-incubated with PBS (control) or reconstituted HDL (rHDL) for 24 hrs then subjected to either normoxic or hypoxic conditions for a further 6 hrs. Protein and gene expression of key mediators in the HIF-1α/VEGF pathway were investigated. Results: As expected, hypoxia elevated HIF-1α protein levels (49%, p<0.05), which was augmented by a further 30% (p<0.05) in rHDL-treated HCAECs. Consistent with this, rHDL increased VEGF mRNA levels above hypoxia-induced increases (23%, p<0.05). Prolyl hydroxylases (PHD 1-3) hydroxylate HIF-1α, targeting it for degradation. rHDL pre-incubation inhibited hypoxia-induced increases in PHD2 and PHD3 levels (32% and 45%, respectively, p<0.05), indicating that rHDL may protect against HIF-1α degradation and explains the rHDL-induced elevation in HIF-1α protein levels. Furthermore, the mRNA levels of Siah-1 and Siah-2, which promote PHD degradation, were increased in rHDL-treated HCAECs (58% and 88% respectively, p<0.05). To determine the importance of Siah-1 and Siah-2 in the HDL-induced modulation of the HIF-1α/VEGF pathway, a siRNA knockdown approach was used. When cells had low levels of Siah-1 and -2, HDL’s ability to induce VEGF was completely attenuated. Conclusion: In conclusion, we found that HDL is able to augment the HIF-1α/VEGF pathway through the stabilization of HIF-1α protein via a decrease in PHD2/3 and increase in Siah1/2. These findings suggest that rHDL may stimulate hypoxia-induced angiogenic regulation via the HIF-1α pathway, which may have implications for preventing ischemic injury following MI.

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 score0.007
Threshold uncertainty score0.025

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)0.0070.001

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 head0.024
GPT teacher head0.248
Teacher spread0.225 · 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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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