Fitness costs of Mycobacterium tuberculosis resistant to rifampicin is compensated by rapid Th2 polarization mediated by early and high IL-4 production during mice infection
Bibliographic record
Abstract
It was a general belief that drug resistance in Mycobacterium tuberculosis (Mtb) was associated with lesser virulence, particularly rifampicin resistance, which is usually produced by mutations in the RNA polymerase Beta subunit (RpoB). Interestingly, this kind of bacterial mutations affect gene transcription with significant effects on bacterial physiology and metabolism, affecting also the bacterial antigenic constitution that in consequence can produce diverse immune responses and disease outcome. In the present study, we show the results of the Mtb clinical isolate A96, which is resistant to rifampicin and when used to infect BALB/c mice showed hypervirulence, apparently by rapidly polarization of the Th2 immune response through early and high production of IL-4. The 2D-PAGE analysis of the secretome of Mtb A96 showed 204 spots, and by immunoproteome, seven proteins that were differentially recognized with the sera of infected mice on day 28 were identified by LC-MS/MS. The proteins correspond to surface antigens, virulence factors, and energy metabolism enzymes. Some of them are immunodominant antigens, such as LpqH lipoprotein that induces IL-4 secretion in cell suspensions from the lung and spleen of mice infected with Mtb A96 at 28 days postinfection, suggesting that LpqH could be one of the main antigens involved in the Th2 polarization. The reduction of Mtb A96 hypervirulence in IL-4Rα −/− BALB/c mice highlights the importance of IL-4 induction and Th2 response polarization and the immunopathological response. Thus, high and rapid bias to Th2 response is a mechanism of Mtb virulence, which could be mediated by rifampicin-resistant Mtb isolates, probably by high production and secretion of specific antigens.
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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) | 0.000 | 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".