Induction of Th1 type-oriented humoral response through intranasal immunization of mice with SAG1-<i>Toxoplasma gondii</i>polymeric nanospheres
Bibliographic record
Abstract
About one-third of the world population is prone to have infection with T. gondii, which can cause toxoplasmosis in the developing fetus and in people whose immune system is compromised through disease or chemotherapy. Surface antigen-1 (SAG1) is the candidate of vaccine against toxoplasmosis. Recent advances in biotechnology and nano-pharmaceuticals have made possible to formulate nanospheres of recombinant protein, which are suitable for sub-unit vaccine delivery. In current study, the local strain was obtained from cat feces as toxoplasma oocysts. Amplified 957 bp of SAG1 was cloned into pGEM-T and further sub-cloned into pET28-SAG1. BL21 bacteria were induced at different concentrations of isopropyl β-d-1-thiogalactopyranoside for the expression of rSAG1 protein. An immunoblot was developed for the confirmation of recombinant protein expression at 35 kDa that was actually recognized by anti-HIS antibodies and sera were collected from infected mice. PLGA encapsulated nanospheres of recombinant SAG1 were characterized through scanning electron microscopy. Experimental mice were intraperitoneally immunized with rSAG1 protein and intra-nasally immunized with nanosphere. The immune response was evaluated by indirect ELISA. In results intra-nasally administered rSAG1 in nanospheres appeared to elicit elevated responses of specific IgA and IgG2a than in control. Nanospheres of rSAG1 are found to be a bio-compatible candidate for the development of vaccine against T. gondii.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".