MétaCan
Menu
Back to cohort
Record W2074909052 · doi:10.1021/mp5001185

Evaluation of Biocompatibility of the AC8 Peptide and Its Potential Use as a Drug Carrier

2014· article· en· W2074909052 on OpenAlexafffund
Sheva Naahidi, Yujie Wang, Man Zhang, Rong Wang, Mousa Jafari, Yongfang Yuan, Brian Dixon, P. Chen

Bibliographic record

VenueMolecular Pharmaceutics · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Waterloo
FundersUniversity of WaterlooCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsIn vivoBiocompatibilityImmune systemCD8In vitroComplement systemCytotoxic T cellPharmacologyChemistryDrug deliveryImmunologyPeptideMedicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

Peptide-based nanoparticles have emerged as promising drug delivery systems for targeted cancer therapy. Yet, the biocompatibility of these nanoparticles has not been elucidated. Here, the in vitro biocompatibility and toxicity and in vivo immunocompatibility and bioactivity of the self/coassembling peptide AC8 in its nanoparticle form are evaluated. AC8 showed minimal hemolytic activity (5%) and did not cause aggregation of red blood cells. The in vitro assay revealed that AC8 did not activate the complement system via the classical or alternative pathway but did activate the lectin pathway to a small extent. However, AC8 showed no C3a and C5a anaphylotoxin activation suggesting that complement activation did not proceed to the later, inflammatory, stages. The in vivo immune response assay showed that administration of AC8 to BALB/c mice had no effect on the weight of immune organs or body weight of mice at doses less than 0.1 mg/kg. This peptide also did not have any effect on the expression of CD3+ T-cells and natural killer (NK) cells, the ratio of CD4+/CD8+ T-cell, and the proliferation of B-cells. These results suggest that AC8 can be a potential carrier candidate for drug delivery.

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)0.001
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 score0.012
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.322
Teacher spread0.289 · 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

Citations8
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueMolecular PharmaceuticsSame topicRNA Interference and Gene DeliveryFrench-language works237,207