Tigecycline Is Modified by the Flavin-Dependent Monooxygenase TetX
Bibliographic record
Abstract
The clinical use of tetracycline antibiotics has decreased due to the emergence of efflux and ribosomal protection-based resistance mechanisms. Currently in phase III clinical trials, the glycylcycline derivative tigecycline (GAR-936) containing a 9-tert-butylglycylamido group is part of a new generation of tetracycline antibiotics developed during the 1990s. Tigecycline displays a broad spectrum of antibacterial activity and circumvents the efflux and ribosomal protection resistance mechanisms. The TetX protein is a flavin-dependent monooxygenase that modifies first and second generation tetracyclines and requires NADPH, Mg(2+), and O(2) for activity. We report that tigecycline is a substrate for TetX and that bacterial strains containing the tet(X) gene are resistant to tigecycline. The resistance is due to the modification of tigecycline by TetX to form 11a-hydroxytigecycline, which we have shown has a weakened ability to inhibit protein translation compared with tigecycline. We have explored the basis of this decreased ability to block translation and found that hydroxylation occurs in the region of the molecule important for coordinating magnesium. 11a-Hydroxytigecycline forms a weaker complex with magnesium than tigecycline; the crystal structure of tetracycline in complex with the ribosome has shown that magnesium coordination is critical for binding tetracycline. Although tet(X) has not been isolated from any clinically resistant strains, our report demonstrates the first enzymatic resistance mechanism to tigecycline and provides an alert for the surveillance of resistant strains that may contain tet(X).
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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 | 0.000 |
| 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".