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Abstract 2894: Modulation of the Pulsing Interval During Ultrasound-mediated VEGF Plasmid Delivery Can Selectively Target Transfection to Different Vascular Compartments

2007· article· en· W4251925974 on OpenAlexaff
Subarna Thirugnanam, Michael A. Kuliszewski, Jonathan R. Lindner, Jeremy Kobulnik, Michael Lekas, Alexander L. Klibanov, Duncan J. Stewart, Howard Leong‐Poi

Bibliographic record

VenueCirculation · 2007
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMicrobubblesMedicineLigationTransfectionGene deliveryAngiogenesisPerfusionBlood flowHindlimbNeovascularizationArteriogenesisGenetic enhancementPathologyUltrasoundMolecular biologyAnatomyBiologyInternal medicineGeneRadiology

Abstract

fetched live from OpenAlex

Ultrasound-mediated (UM) destruction of plasmid-bearing microbubbles targets gene delivery to the vascular endothelium, promoting therapeutic angiogenesis. We hypothesized that modulation of the ultrasound pulsing intervals (PI) would allow targeting of gene delivery to selective vascular compartments based upon blood flow velocities, allowing differential targeting of faster filling vessels (arterioles) versus slower vessels (capillaries). Methods: Unilateral hindlimb ischemia was produced by iliac artery ligation in 60 rats. At day 14 post-ligation, microvascular blood volume (MBV) and blood flow (MBF) in the proximal hindlimb muscles were assessed by contrast-enhanced ultrasound (CEU). UM-delivery of VEGF 165 /GFP plasmid (500 μg cDNA)-bearing microbubbles (1x10 9 ), was performed, at PIs of 2, 5 and 10 s (n=20 for each). Perfusion was re-assessed by CEU at days 17 and 28 (n=10 for each). Fluorescent microangiography (FMA) was performed at day 28 to assess vessel density. Transfection was localized using immunohistochemistry. PCR was used to quantify transgene expression. Results: VEGF 165 /GFP mRNA expression was greatest at day 17, and was similar for PI 5 and 10 s, however reduced for PI 2 s. Fluorescent microscopy demonstrated GFP transfection predominantly within arterioles for shorter PIs (PI 5 s >> PI 2 s), and more capillary expression with PI 10 s. Prior to delivery, normalized MBV and MBF in ischemic muscle were similarly reduced in all groups. By day 28, for PI 5 and 10 s, there was a significant increase in normalized MBV (1.4±0.2 vs 0.9±0.2, p<0.001, and 1.3±0.3 vs 0.9±0.2, p<0.001 respectively) and MBF (0.9±0.3 vs 0.3±0.1, p<0.001, and 0.5±0.2 vs 0.3±0.1, p<0.001 respectively), with increases in MBF significantly (p<0.001) higher for PI 5 s. There were no significant changes in MBV or MBF with delivery at PI 2 s. Changes in vascular density by FMA paralleled changes in MBV, increasing at day 28 for both PI 5 and 10 s, and remaining unchanged for PI 2 s. Conclusions: Altering the PI during UM-gene delivery can result in targeted delivery to selective vascular compartments. For the purposes of gene therapy for angiogenesis in chronic ischemia, a strategy that selectively targets arterioles is more effective than one that targets capillaries.

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 score0.012

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 integrity0.0000.000
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 head0.008
GPT teacher head0.199
Teacher spread0.191 · 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
Published2007
Admission routes1
Has abstractyes

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