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Record W4312517868 · doi:10.1161/res.131.suppl_1.p2008

Abstract P2008: Hypertrophic Cardiomyopathy Treatment Using Ultrasound And Microbubbles

2022· article· en· W4312517868 on OpenAlexaff
Davindra Singh, Stephanie He, Brandon Helfield

Bibliographic record

VenueCirculation Research · 2022
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicrobubblesHypertrophic cardiomyopathyMedicineGene deliveryUltrasoundGenetic enhancementCardiologyBiomedical engineeringSonoporationRadiologyChemistryGene

Abstract

fetched live from OpenAlex

Introduction: Hypertrophic cardiomyopathy is a disease characterized by the abnormal growth of cardiomyocytes (CMs), a marker of which is the early downregulation of miR-1. The delivery of miR-1 to hypertrophic CMs presents as a promising treatment strategy, however there are still limitations in the safe and efficient delivery of gene therapeutics.Ultrasound (US) and microbubbles is an emerging approach to site-specific gene delivery. Microbubbles have long been employed in clinical cardiology as a diagnostic contrast agent. Recent work has demonstrated that under specific conditions, they are capable of forming temporary pores on neighboring cell membranes, allowing the delivery of otherwise impermeable macromolecules. This presents an exciting approach to the treatment of cardiovascular disease (CVD) as a targeted and inherently image-guided therapeutic delivery platform. Objective: The goal of this study is to determine the feasibility of viable US and microbubble mediated delivery of miR-1 to hypertrophic CMs with a view towards reversing the disease. Secondly, we aim to show a correlation between bubble echoes and resulting gene delivery to introduce clinical metrics for the translation of this technique. Methods: CMs were harvested from neonatal rat pups (1-3 days old) and hypertrophied using phenylephrine (100μM). Suspension of healthy or diseased CMs, microbubbles and free miR-1 were placed in a chamber within a 37°C degassed water bath. These samples were insonicated at a mechanical index (MI) ranging from 0.063-0.25 for 2 minutes (20 cycles; 5 kHz PRF) and bubble echoes were recorded via a co-aligned transducer to be processed offline. miR-1 delivery was confirmed with RT-qPCR, cell viablity assesed with MTT, protein expression was measured by immunoblotting and cell size via microscopy. All experiments preformed are at least n=2 independent samples. Result and Conclusion: Treated healthy and diseased CMs demonstrate an upregulation in miR-1 with increasing MI, from 0.063 to 0.188. At MI=0.12, a 2.22 and 1.95-fold increase in miR-1 was shown in diseased and healthy CMs respectively ( p= 0.07, p= 0.02) while maintaining viability (86% and 96% respectively). These miR-1 levels begin to show the reversal of hypertrophy as quantified by increases in target protein expression (1.93-fold in TWF1; 1.38-fold in MEF2A; 1.36-fold in CX43) and cell size decrease (16%, p =0.035) back towards heathy levels. Echo data highlights that relative miR-1 expression positively correlates with bubble disruption ( r =0.76, p =0.04), suggesting a means by which treatment efficiency can be monitored in a clinical setting.In conclusion, we demonstrated that US and microbubbles can be used to successfully delivery miR-1 to CMs, with the potential to reverse the disease phenotype. These findings demonstrate the feasibility of US as an image-guided delivery method for molecular therapeutics in CVD.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.309
Teacher spread0.233 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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