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Abstract 16836: Pioglitazone Reduces Angiogenesis by Altering Mitochondrial Function and Reducing Hypoxia Inducible Factor-1 Activation

2011· article· en· W142138548 on OpenAlexaff
Peter Dromparis, Gopinath Sutendra, Lyndsay Bowers, Alois Haromy, Kyoko Hashimoto, Trevor H. Stenson, Spencer D. Proctor, Evangelos D. Michelakis, M. Sean McMurtry

Bibliographic record

VenueCirculation · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPioglitazoneMedicineAngiogenesisHypoxia (environmental)Hypoxia-inducible factorsHypoxia-Inducible Factor 1PharmacologyCancer researchInternal medicineCell biologyEndocrinologyTranscription factorDiabetes mellitusBiochemistryOxygenType 2 diabetesBiologyGene

Abstract

fetched live from OpenAlex

Introduction: Thiazolidinediones (TZDs) used in type II diabetes are linked with adverse cardiovascular events by an unknown mechanism, including lower extremity revascularization. TZDs can affect mitochondria, which are oxygen sensors and therefore could regulate the angiogenic transcription factor hypoxia inducible factor 1 (HIF1) via mitochondrial derived α-ketoglutarate (αKG) and reactive oxygen species (mROS). We hypothesized that pioglitazone (PIO), a TZD, may impair angiogenesis through a mitochondrial-HIF1 dependent mechanism. Methods/Results: Human skeletal myocytes (hSMC) cultured at pO2 120 vs. 40 mmHg were treated with PIO (20 μ g/ml) for 24h. Compared to vehicle, PIO depolarized mitochondria, increased mROS and αKG in hypoxic hSMCs. PIO decreased HIF1 activity (nuclear translocation and decreased VEGF, a HIF1 regulated gene). In vitro, using a matrigel assay, PIO directly inhibited human microvascular endothelial cell (hMVEC) angiogenesis (tubule formation). To assess the paracrine effects and exclude the direct PIO effects on hMVEC, we used a Boyden chamber matrigel bioassay where hSMCs and hMVEC were separated by a cell impermeable membrane. Pre-treatment of hypoxic hSMCs with PIO had less angiogenesis than with vehicle. In vivo, neovascularization was assessed in diabetic (JCR:LP; n=20) and non-diabetic (SD; n= 22) rats. Hindlimb ischemia was induced, and the rats were treated with a clinically relevant PIO dose (10mg/kg/day) or placebo for 14 days. Ischemic hindlimb (gastrocnemius) perfusion was decreased in PIO treated animals (contrast enhanced ultrasound and Tc99m sestamibi micro CT-SPECT), which correlated with decreased angiogenesis (von Willebrand factor and lectin) in both diabetic and non-diabetic models. Conclusions: PIO alters mitochondrial function in hSMC, reducing HIF1 activation and inhibiting both paracrine/autocrine angiogenesis. PIO also impaired angiogenesis in diabetic and non-diabetic rats. Impairment of angiogenesis is undesirable in human diabetics with concomitant atherosclerotic vascular disease, and may be a mechanism for adverse effects of TZDs.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.231
Teacher spread0.205 · 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
Published2011
Admission routes1
Has abstractyes

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