Effect of some pharmaceutical excipients on the survival of probiotic vaginal lactobacilli
Bibliographic record
Abstract
Lactobacilli are the predominant microorganisms of the vaginal bacterial microbiota, and they play a major role in the maintenance of a healthy urogenital tract. In consequence, the interest in their potential use as probiotics has significantly increased during the last decade. In the present study we assessed the influence of different excipients on the survival of 4 probiotic vaginal lactobacilli incorporated into glycerinated gelatin ovules and stored at 5 degrees C for 60 d. Results showed that viability after storage was a strain-dependent characteristic, but inclusion of ascorbic acid significantly increased survival in 3 of the 4 strains tested. The best survival was observed for Lactobacillus salivarius CRL 1328 in ovules containing skimmed milk. No significant differences in viability were observed between control ovules (glycerogelatin base without excipients) and those containing lactose or Tween 80 for any of the strains tested. Lactobacillus acidophilus CRL 1259 and Lactobacillus crispatus CRL 1266 were, respectively, the most resistant and sensitive strains to the storage with the different substances. In conclusion, these results provide a basis for selecting excipients to improve the survival of lactobacilli in a probiotic product, in an attempt to ensure the delivery of an adequate number of viable cells to the urogenital tract.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".