Recent developments with live‐attenuated recombinant paramyxovirus vaccines
Bibliographic record
Abstract
There is no vaccine currently approved for paramyxovirus-induced respiratory diseases in humans, despite their major clinical importance. We review the development and evaluation of new vaccine strategies based on live-attenuated chimeric and recombinant vaccines against human respiratory syncytial virus, human metapneumovirus and human parainfluenza viruses types 1 to 3, which are significant causes of upper and lower tract respiratory diseases. Most promising strategies are based on virus attenuation through (i) mutations in key genes involved in replication; (ii) deletion of accessory genes; or (iii) the use of a corresponding animal viral vector, such as bovine parainfluenza type 3 and Sendai virus, as a background for the expression of a viral glycoprotein. Indeed, the fusion (F), or attachment (HN/H/G) glycoproteins are the most immunogenic antigens in paramyxoviruses. For each strategy, we will review the immunogenicity (increase in neutralising antibody titres) and the protection conferred by the most promising recombinant vectored vaccines and list ongoing clinical trials. We will conclude by discussing the most important challenges regarding the introduction of such vaccines into immunisation programmes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".