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Record W3165939787

Development and characterization of stimuli-responsive drug delivery systems to prevent HIV infection and the treatment of chronic wounds

2021· dissertation· en· W3165939787 on OpenAlexfundno aff
Yannick Léandre Traoré

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of Waterloo
KeywordsHuman immunodeficiency virus (HIV)Drug deliveryDrugMedicineIntensive care medicineImmunologyPharmacologyNanotechnologyMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Patient compliance is very important and highly depends on the drug dosage form which correlates with the success of therapy. Drug delivery systems can be adapted to different pharmaceutical ingredients and to different delivery routes depending on the application. This thesis focuses on the development and characterization of different types of drug delivery systems with a focus on stimuli-responsive biomaterials. Stimuli-responsive biomaterials are a promising approach for achieving on-demand drug release. They are intended to deliver their active compound at the appropriate time and site of action in response to specific triggers. The aim of this thesis was the development and characterization of a pH-responsive intravaginal ring (IVR) and a thermo-responsive wound dressing. The IVR is intended for the prevention of HIV infection while the wound dressing is to treat chronic wounds that develop as a co-morbidity associated with immune-compromised patients. 
\nThe behavior of polyvinyl alcohol (PVA) films containing nanoparticles (NPs) for vaginal drug delivery was evaluated first. In this study, we demonstrated that the amount of NPs had little effect on film dissolution and on the storage and loss modulus. However, the percentage of PVA used and the amount of plasticizer (polyethylene glycol) and carrageenan (a film-forming agent) greatly affected the physico-mechanical properties of the film and play an important role in film dissolution time and nanoparticle (NP) release. 
\n Secondly, we fabricated an IVR with polyurethane HP-60D-35 containing hydroxychloroquine (HCQ) as a prevention strategy against HIV. The safety of the IVR and HCQ were assessed on the vaginal epithelial cells VK2/E6E7, the ectocervical cells ECT1 and more importantly, on vaginal normal microflora lactobacillus crispatus and jensenii. No significant toxicity was observed. 
\n We then designed a segmented IVR with half of the ring delivering HCQ while the second-half was coated with a pH-responsive polymer to deliver anti-CCR5 siRNA NPs. HCQ was released continuously for over 25 days with a mean daily release of 31.17±3.06 µg/mL. Anti-CCR5 siRNA NPs were released from the pH-responsive coated segment only when the pH was 7.3 (e.g. in the presence of simulated seminal fluid) with a total release of 5.12 ±0.9 mg compared to vaginal fluid simulant alone (0.42 ±0.19 mg). Anti-CCR5 siRNA NPs knocked down CCR5 gene expression by 83±5.1% in vitro in the CD4+ T-cell line Sup-T1. 
\n In the second part of the thesis, we made a thermo-responsive wound dressing using gelatin crosslinked with chitosan. LL37 and vancomycin were encapsulated into solid lipid nanoparticles (SLN) and mixed into the gelatin-chitosan hydrogel. The hydrogel itself liquefied rapidly (30min) at 33ºC (human skin temperature) than at room temperature (remained semisolid). We evaluated LL37/vancomycin-SLN using a microtiter plate-based biofilm assay formed using S. aureus. 6mg/mL of LL37/vancomycin was capable of significantly reducing S. aureus biomass. 
\nOverall, the development of stimuli-responsive drug delivery systems is appealing as it can release drugs only when needed, which will reduce toxicity and unwanted side-effects. Furthermore, it can potentially improve patient compliance resulting in improved therapeutic efficacy.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.028
GPT teacher head0.304
Teacher spread0.276 · 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 designQualitative
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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueUWSpace (University of Waterloo)Same topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207