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Record W3105230914 · doi:10.1109/ius46767.2020.9251556

Localized release of extracellular ATP by ultrasound and microbubbles for enhancing cancer immunotherapy

2020· article· en· W3105230914 on OpenAlexafffund
Falonne Demeze Kenfack, B. Sellamuthu, Andrea Shima, François T.H. Yu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCancer Research Society
KeywordsLuciferaseBioluminescence imagingExtracellularIn vivoChemistryIn vitroMicrobubblesBiophysicsMedicineBiochemistryBiologyUltrasoundTransfection

Abstract

fetched live from OpenAlex

Introduction: Extracellular ATP (eATP) is a damage-associated molecular pattern (DAMP) which plays a critical role in the activation of the NLRP3 inflammasome, an important mediator of the innate immune response. Ultrasound (US) and microbubbles (MB) have been shown to release ATP in muscle locally [1]. Our hypothesis is that US+MB could release ATP in tumor microenvironment following by the activation of pro-inflammatory immune response. The eATP release following US+MB and its quantification in muscle and 4T1 model will be presented. Methods: eATP quantification in vitro: 4T1 cells were incubated with D-luciferin (250 μM), luciferase (0.7 μM) and MB (5x106MB/ml) and the eATP signal was measured by bioluminescence (BLI) using Optix MX2. eATP quantificationinvivo: We quantified eATP in mice hindlimbs ( n=6) and 4T1 subcutaneous tumors ( n=8). After IP injection of D-luciferin (3 mg) and IV infusion of luciferase (270 μg) and MB (Definity, 4 μL/min), the mice received US treatment (1 MHz, 5000 cycles, 800 kPa) using a therapeutic probe for 10 min. The therapy was guided by US contrast imaging and the eATP signal was measured by BLI. A positive control was performed by IM administration of ATP (250 μM) in the hindlimb ( n=3). Results and conclusion: US+MB treatment released ATPinvitroand the signal increased with the number of cycle and pressure. Following the IM injection of ATP (250 μM), we detected a BLI signal at 4 min that was higher than baseline but was back to baseline level at 8 min. In muscle, After US+MB, the signal was 5.5 folds greater in the treated side compared to the non-treated side at 15 min and persisted until 75 min post-treatment. In tumors, we observed a significant increase in eATP signal post-US+MB in the treated side at 15 min that persisted up to 45 min post-treatment compared to the control side. In conclusion, US+MB treatment releases ATP in muscle and in 4T1 tumors which persisted longer in time compared to a direct intramuscular injection. The immune response characterization in 4T1 tumors after US+MB is in progress.

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 score0.002
Threshold uncertainty score0.007

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.211
Teacher spread0.203 · 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
Published2020
Admission routes2
Has abstractyes

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