BCG Vaccines: Their mechanisms of attenuation and impact on safety and protective efficacy
Bibliographic record
Abstract
Mycobacterium bovis Bacille Calmette-Guérin (BCG) was developed as an attenuated live vaccine for tuberculosis control nearly a century ago. Despite being the most widely used vaccine in human history, the mechanisms of attenuation of BCG remain poorly understood. BCG is not a single organism, but comprises a number of substrains that differ in genotypes and phenotypes. The impacts of these differences on BCG vaccine properties are largely unknown. Nevertheless, in the past decade, the development of sophisticated genome analysis techniques, coupled with advances in knowledge of the virulence mechanisms of Mycobacterium tuberculosis, have provided greater insights into the attenuation and evolution of BCG. This review article discusses these new developments, focusing on molecular mechanisms that contribute to the attenuation of BCG substrains. It is evident that BCG strains comprise natural mutants of major virulence factors of M. tb, including ESX-1, PDIM/PGL and PhoP, and that BCG substrains differ markedly in virulence level. The impacts of these findings on vaccine properties including adverse reaction effect, tuberculin reactivity and protective efficacy are discussed. These new insights have extremely important implications for national immunization programs and the development of future vaccines.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".