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Record W4413110695 · doi:10.1021/acs.biomac.5c01319

Investigation on Active and Rapid Hepatobiliary Excretion of Triantennary <i>N</i>-Acetyl Galactosamine Conjugated Polymeric Nanoparticles

2025· article· en· W4413110695 on OpenAlexafffund
Usama Abbasi, Srinivas Abbina, Lily E. Takeuchi, Seyed Hossein Hosseini, Arshdeep Gill, Libin Abraham, Jayachandran N. Kizhakkedathu

Bibliographic record

VenueBiomacromolecules · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of British ColumbiaCanada Research ChairsMichael Smith Health Research BCCanada Foundation for Innovation
KeywordsChemistryExcretionConjugated systemIn vivoAsialoglycoprotein receptorNanoparticleBiodistributionIntracellularBiophysicsHepatocyteBiochemistryIn vitroNanotechnologyPolymerOrganic chemistryMaterials scienceBiology

Abstract

fetched live from OpenAlex

The current knowledge of hepatic lectin-specific N -acetylgalactosamine ligands is limited to the removal of glycoproteins/cells from circulation or targeting therapeutics to the liver. Here, we describe the influence of different N -acetylgalactosamine ligands conjugated to dendritic polymer-based therapeutic nanoparticles with sizes above the renal excretion limit on bypassing liver accumulation and their rapid excretion from the body. We determined that the chemistry, type, and presentation of sugar ligands on nanoparticles dictate their vascular retention, rapid intracellular hepatocyte transport, and the pathway of excretion. We further probed the mechanism of rapid hepatobiliary excretion in vivo using fluorescently labeled nanoparticles and found that the structure and characteristics of N -acetylgalactosamine ligands on the nanoparticle surface influence their interactions with different hepatic cells. The current study provides new directions and sheds light on better appraising design parameters that can be tailored for active hepatobiliary excretion of nanoparticles.

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 score0.004
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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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