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Record W2130985118 · doi:10.18433/j3k01m

Oral immunization against hepatitis B using bile salt stabilized vesicles (bilosomes)

2008· article· en· W2130985118 on OpenAlexvenueno aff
Anshuman Shukla, Kapil Khatri, Prem N. Gupta, Amit K. Goyal, Abhinav Mehta, Suresh P. Vyas

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2008
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsnot available
FundersAll-India Institute of Medical SciencesAll India Council for Technical Education
KeywordsHBsAgImmunizationAntigenMedicineHepatitis BAntibodyVaccinationHepatitis B vaccineIn vivoImmunologyPharmacologyBiologyHepatitis B virusVirus

Abstract

fetched live from OpenAlex

PURPOSE: Most of the presently available vaccines including hepatitis B vaccines administered through parenteral route, fail to induce a mucosal antibody response. Therefore, oral immunization appears to be an effective and attractive alternative to parenteral immunization. However, the problem of degradation of antigen in the harsh and hostile environment of the gastrointestinal tract consequently requires larger doses and more frequent dosing of antigen. Furthermore, much larger doses can induce antigen tolerance. Therefore the purpose of the present study was firstly to overcome these problems by the use of bile salt stabilized vesicles (bilosomes) and HBsAg as the model antigen,which could provide both protection to the antigen as well as enable transmucosal uptake and subsequent immunization. Another purpose of this study was to determine the dose that could produce serum antibody titres against hepatitis B via the oral route compared to those following intramuscular immunization. METHODS: In the present study bilosomes containing recombinant hepatitis B surface antigen were prepared by a lipid cast film method. HBsAg loaded bilosomeswere characterized in vitro for their shape, size, percent antigen entrapment and stability. Fluorescence microscopy was carried out to confirm the uptake of bilosomes by gut associated lymphoid tissues (GALT). The in vivo part of the study comprised estimation of anti-HBsAg IgG response in serum and anti-HBsAg sIgA in various body secretions using specific ELISA techniques following oral immunization with low dose loaded bilosomes (B1, 10 microg), intermediate dose loaded bilosomes (B2, 20 microg) and high dose loaded bilosomes (B3, 50 microg) in BALB/c mice. RESULTS: Fluorescence microscopy suggested that there was an increase in fluorescence intensity following the uptake of bilosomes entrapped FITC-BSA in gut associated lymphoid tissues. The high dose HBsAg bilosomes (B3, 50 microg) produced comparable anti-HBsAg IgG levels in serum to those observed in the case of intramuscular administration of alum adsorbed HBsAg (10 microg). In addition, the bilosomal preparations elicited measurable sIgA in mucosal secretions, where the highest responses were observed with high dose HBsAg bilosomes (B3,50 microg) and as expected, intramuscular administered alum adsorbed HBsAg (10 microg) failed to elicit such responses. CONCLUSIONS: HBsAg loaded bilosomes produced both systemic as well as mucosal antibody responses upon oral administration. Furthermore, bilosomes with a five times higher dose upon oral administration produced comparable serum antibody titres to those obtained after intramuscular immunization without the induction of systemic tolerance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.279
GPT teacher head0.490
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), 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

Citations106
Published2008
Admission routes1
Has abstractyes

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