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Record W4415586825 · doi:10.1021/acsomega.5c03731

Bioconjugates of Toluidine Blue Derivatives with Human Serum Albumin and Their Complexes with Cucurbit[7]uril as Drug Delivery Vehicles for Photodynamic Therapy

2025· article· en· W4415586825 on OpenAlexafffund
Nory Mariño‐Ocampo, José Robinson‐Duggon, Daniel Zúñiga‐Núñez, Daniel Guerra Díaz, Belinda Heyne, Denis Fuentealba

Bibliographic record

VenueACS Omega · 2025
Typearticle
Languageen
FieldChemistry
TopicSupramolecular Chemistry and Complexes
Canadian institutionsUniversity of Calgary
FundersSecretaría Nacional de Ciencia, Tecnología e InnovaciónPontificia Universidad Católica de ChileFondo Nacional de Desarrollo Científico y TecnológicoAgencia Nacional de Investigación y DesarrolloGlobal Affairs CanadaUniversidad de Chile
KeywordsPhototoxicityPhotodynamic therapyHuman serum albuminCovalent bondDrug deliveryHeLaPhotosensitizerBovine serum albuminIn vitroSerum albumin

Abstract

fetched live from OpenAlex

Photodynamic therapy (PDT) is a promising cancer treatment. The present work used two toluidine blue O (TBO) derivatives covalently conjugated to human serum albumin (HSA) as a drug delivery system and bound to cucurbit[7]-uril (CB[7]) as a protective nanocapsule in order to study their effect of cellular uptake and phototoxicity in HeLa cells. This study explored covalent and noncovalent interactions with the delivery systems, including HSA-PS@CB[7] complexes, to optimize PDT efficacy. Supramolecular complexes between TBO derivatives and CB-[7] exhibited high binding affinities, significantly improving the photophysical properties of the photosensitizers. In vitro studies in cancer cells demonstrated that HSA covalently bound to TBO derivatives led to significant increases in cellular uptake and was strongly influenced by the type of conjugation (disulfide bond versus thia-Michael adduct). The results suggest that combining the properties of HSA as a carrier and CB[7] as a protective nanocapsule could be exploited for improved PDT applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.970

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 studies0.0000.000
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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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 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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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