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Cooling-Triggered Release of Celecoxib from Implantable Alginate-Soluplus Composite Devices

2025· article· en· W4413515286 on OpenAlex
Romario Lobban, Michael Carroll, Victoria Vest, Joshua T. McCune, Sarah L. Hall, Fang Yu, Md. Jashim Uddin, Lawrence J. Marnett, Craig L. Duvall, Leon M. Bellan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueACS Biomaterials Science & Engineering · 2025
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesNational Cancer InstituteYork University
KeywordsCelecoxibMedicineStimulus (psychology)Drug deliveryOpioidPain reliefBiomedical engineeringPharmacologyMaterials scienceAnesthesiaNanotechnologyInternal medicine

Abstract

fetched live from OpenAlex

Currently, on-demand treatment of pain (both chronic and acute) is primarily achieved using opioids that are delivered systemically. Unfortunately, these drugs are highly addictive; over 5 people per hour die from opioid abuse in the US alone. A safer, nonsystemic mechanism for pain relief is therefore needed. Nonsteroidal anti-inflammatory drugs (NSAIDs) have been explored for this purpose; they are nonaddictive, provide excellent pain relief, and can be delivered locally to minimize dosage and systemic side effects. However, an on-demand release method is needed to make local delivery of these drugs a viable, convenient replacement for opioids; external stimulus-triggered release from an implantable depot is one approach. Stimuli such as heat, light, ultrasound, and RF electromagnetic radiation have been used to trigger release of various drugs from implantable drug depots; however, these require energy input and complex apparatus and are thus not comparable to the ease of oral administration. We propose localized cooling as a safe, convenient stimulus. As icepacks are already widely applied to temporarily ease local pain, introducing a drug delivery mechanism switched "ON" by cooling could enable long duration, enhanced pain relief triggered by a method with which patients are already familiar. Herein, we demonstrate that cooling-triggered release of NSAIDs can be achieved by leveraging the gel-to-sol transition exhibited by physically cross-linked thermoresponsive polymer hydrogels upon cooling below their lower critical solution temperature (LCST). We demonstrate and characterize cooling-triggered release in simulated body fluid, in cell culture, in explanted tissue, and in a live animal wound model. We show that hydrogels loaded with an NSAID (Celecoxib) can be combined with a nonthermoresponsive membrane material to create implantable devices that demonstrate up to a ∼40× increase in drug release rate upon mild cooling (29 °C) and that support multiple cycles of triggered release. These results demonstrate that cooling-triggered release of therapeutics is a promising concept that could allow patients to use a familiar method (applying an icepack to pain points) to achieve enhanced pain relief.

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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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