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Record W2068829341 · doi:10.2174/1567201043479993

Biphasic Lipid Vesicles (Biphasix™) Enhance the Adjuvanticity of CpG Oligonucleotides Following Systemic and Mucosal Administration

2004· article· en· W2068829341 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Drug Delivery · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsImmunoadjuvantAdjuvantCpG OligodeoxynucleotideImmunizationImmune systemAntigenPharmacologyCpG siteImmunologySystemic administrationChemistryAntibodyMedicineBiologyIn vivoBiochemistryDNA methylation

Abstract

fetched live from OpenAlex

CpG oligonucleotides (ODNs) are potent mucosal and systemic adjuvants. For practical applications however, improvements in delivery need to be developed. A mouse model was used to determine if the biological activity of CpG ODNs could be enhanced using a novel delivery system of biphasic lipid vesicles (Biphasix Vaccine-Targeting Adjuvant; VTA). Immunization studies were performed to evaluate the potential of VTA formulations to enhance the immunoadjuvant activity of CpG ODNs following systemic or mucosal administration with gD. Immune responses following immunization were assessed by protection from HSV-1 viral challenge and characterization of serum gD-specific antibody responses using ELISA. VTA formulations in combination with CpG and glycoprotein D (gD) were able to increase gD-specific IgG in serum compared to gD alone, and protect from a lethal HSV-1 challenge following subcutaneous immunization. Following mucosal immunization, VTA formulations in combination with CpG and antigen enhanced mucosal IgA responses compared to CpG and antigen administered in PBS.

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)0.000
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 score0.023
Threshold uncertainty score0.712

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 head0.016
GPT teacher head0.278
Teacher spread0.263 · 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