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S-45-3: PARP INHIBITION AMELIORATES VEGF INHIBITOR-ASSOCIATED VASCULAR DYSFUNCTION VIA TRPM2

2023· article· en· W4315705149 on OpenAlexaff
Karla B Neves, Rhéure Alves-Lopes, Ninian N. Lang, Augusto C. Montezano, Rhian M. Touyz

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineAxitinibVascular smooth musclePharmacologyCancer researchOlaparibEndothelial dysfunctionPARP inhibitorNitric oxideVasodilationTRPM2Poly ADP ribose polymeraseInternal medicineCancerChemistryTransient receptor potential channelSunitinibBiochemistryReceptor

Abstract

fetched live from OpenAlex

Hypertension is a common unwanted effect of VEGF inhibitors (VEGFi) commonly used as anti-angiogenic drugs in cancer patients. The combination of VEGFi with olaparib, a PARP inhibitor (PARPi), has been shown to reduce VEGFi-induced hypertension. However underlying molecular mechanisms are unknown. PARP plays major role in the activation of TRPM2, a redox-sensitive calcium channel, which is associated with hypertension-induced vascular dysfunction. Objective: to elucidate whether PARP/TRPM2 axis is involved in the protective mechanisms of the combination VEGFi/PARPi in vascular cells. Design and Methods: Human vascular smooth muscle cells (VSMC), aortic endothelial cells (HAEC), and mice mesenteric arteries were used. Cells/arteries were exposed to axitinib (VEGFi) alone and in combination with olaparib (PARPi). Wire myography assessed vascular function. Reactive oxygen species (ROS) production, Ca2+ influx, protein/gene analysis, PARP activity, and TRPM2 siRNA were assessed in VSMC, and nitric oxide (NO) levels in HAEC. Results: Axitinib increased ROS production in hVSMC (RUL: 0.8 ± 0.2 [Ct] vs. 1.1 ± 0.09 [Axi]), which was followed by an increase in PARP activity (a.u.: 0.09 ± 0.03 [Ct] vs. 0.14 ± 0.004 [Axi]). Axitinib reduced ACh-induced vasodilation (% relaxation: 70.5 [Ct] vs. 34.8 [Axi]), an effect blocked by olaparib. U46619- and ET-1-induced vasoconstriction (% KCl-U4: 101.2 [Ct] vs. 141.4 [Axi]; ET-1: 122.6 [Ct] vs. 152.5 [Axi]) were increased by axitinib, which not observed with the combination axitinib plus olaparib. TRPM2 channel blocker (8-Br-cADPR) attenuated the hypercontractile effects and endothelial dysfunction induced by axitinib in mesenteric arteries. PARP and TRPM2 blockage also overturned the increase in VSMC Ca2+ influx induced by axitinib (AUC: 17541 ± 4708 [Ct] vs. 22249 ± 1438 [Axi]). This was also confirmed by TRPM2 siRNA. Phosphorylation of MLC20 in VSMC (a.u.: 0.028 ± 0.02 [Ct] vs. 0.04 ± 0.01 [Axi]), and eNOS (Thr495) in HAEC (a.u.: 0.99 ± 0.35 [Ct] vs. 1.35 ± 0.10 [Axi]) were enhanced by axitinib and prevented by olaparib and TRPM2 siRNA. HAEC exposed to the combination olaparib and axitinib showed NO levels similar to VEGF-stimulated cells. Pro-inflammatory markers (IL-6, MCP-1 and IL-1B) were also upregulated in axitinib-stimulated VSMC (p < 0.01), which was reduced by ROS and PARP-TRPM2 inhibition. Conclusions: We identify that PARP inhibition, by reducing TRPM2 activation, attenuates the vascular deleterious effects of axitinib. Our study defines novel mechanisms whereby the combination VEGFi/PARPi may reduce vascular dysfunction in VEGFi-treated cancer patients.

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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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.241
Teacher spread0.213 · 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
Published2023
Admission routes1
Has abstractyes

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