Strategies for Developing Oral Vaccines for Human Papillomavirus (HPV) Induced Cancer using Nanoparticle mediated Delivery System
Bibliographic record
Abstract
Human Papillomaviruses (HPV) are a diverse group of small non-enveloped DNA viruses. Some HPVs are classified as low-risk as they are very rarely associated with neoplasia or cancer in the general population, and cause lenient warts. Other HPVs are considered as high-risk types because they are responsible for several important human cancers, including cervical cancer, a large proportion of other anogenital cancers, and a growing number of head and neck cancers. Transmission of HPV occurs primarily by skin-to-skin contact. The risk of contracting genital HPV infection and cervical cancer is influenced by sexual activity. Currently two prophylactic HPV vaccines, Gardasil® (Merck, USA) and Cervarix® (GlaxoSmithKline, UK), are available and recommended for mass immunization of adolescents. However, these vaccines have limitations as they are expensive and require cold chain storage and trained personnel to administer them by injection. The use of nano or micro particulate vaccines could address most of these limitations as they are stable at room temperature, inexpensive to produce and distribute to resource poor regions, and can be administered orally without the need for adjuvants in the formulation. Also it is possible to increase the efficiency of these particulate vaccines by decorating the surface of the nano or micro particulates with suitable ligands for targeted delivery. Oral vaccines, which can be delivered using particulate formulations, have the added potential to stimulate mucosa-associated lymphoid tissue located in the digestive tract and the gut-associated lymphoid tissue, both of which are important for the induction of effective mucosal response against many viruses. In addition, oral vaccines provide the opportunity to reduce production and administration costs and are very patient compliant. This review elaborately discusses different strategies that can be pursued to develop a nano or micro particulate oral vaccine for HPV induced cancers and other diseases.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".