Effects of cationic liposome-encapsulated doxycycline on experimental Chlamydia trachomatis genital infection in mice
Bibliographic record
Abstract
In a previous study, we demonstrated that cationic liposome-encapsulated doxycycline (CaL-Dox) was two-fold more effective than free doxycycline against Chlamydia trachomatis in vitro. Here, we evaluated the effects of two CaL-Dox regimens in comparison with unencapsulated doxycycline on the course of chlamydial genital infection in mice. Progesterone-treated, female CF-1 mice were challenged intravaginally with 1.2 x 10(5) inclusion-forming units (ifu) of C. trachomatis. Two days post-infection, the animals were divided into four treatment groups for im injection of doxycycline at 10 mg/kg body weight bd for 3 (3 Dox) or 7 days (7 Dox), or of CaL-Dox at the same dose level for 3 (3 CaL-Dox) or 7 days (7 CaL-Dox) consecutively. An infected fifth group served as a control and was given an empty CaL preparation. C. trachomatis were isolated after five blind passages from 82% of infected control mice, 61.4% of 3 Dox, 52.2% of 3 CaL-Dox, 29% of 7 Dox and 20% of 7 CaL-Dox animals. Histopathological reactions were found in various tissues of the genital tract in 79.5% of infected control mice, 80.9% of 3 Dox, 65.2% of 3 CaL-Dox, 47.1% of 7 Dox and 25.7% of 7 CaL-Dox animals. Total antichlamydial antibody titres were lower in 7 CaL-Dox mice than in all the other groups (P < 0.005). The results showed that progesterone-treated CF-1 mice are suitable for investigation of both lower and upper genital tract infection with a lymphogranuloma venereum biovar strain of C. trachomatis. Neither 7 CaL-Dox nor 3 CaL-Dox treatment was more effective than unencapsulated 7 Dox doses in the bacteriological cure of chlamydial genital infection in mice. However, 7 CaL-Dox prevented tissue damage in the genital tract significantly more than all the other regimens (P < 0.05). These results suggest that liposome-encapsulated doxycycline, particularly CaL-Dox, may have potential for the clinical treatment of chlamydial infections.
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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 | 0.000 |
| 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 | 0.001 | 0.002 |
| 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".