Lactobacilli and Bacterial Vaginosis. Species Typing and Content Analysis in the Microbiome
Bibliographic record
Abstract
The goal of the study is to analyze changes in the composition of lactobacilli in the vaginal microbiocenosis associated with bacterial vaginosis (BV), with a frequency assessment of the occurrence of individual species. The study involved 40 patients who complained of pathological discharge from the genital tract, with a confirmed diagnosis of BV based on the Amsel criteria. Quantitative assessment and typing of lactobacilli was performed using real-time PCR. All women with BV were found to have lactobacilli in quantities from 0.01 to 100% of the total bacterial mass. When analyzing the distribution of the lactobacilli index (LI), which determines the proportion of lactobacilli in the total bacterial mass, three peaks were identified that corresponded to samples with low, intermediate, and high values. Typing identified four lactobacilli species characteristic of the vaginal microbiocenosis: L. iners , L. crispatus , L. jensenii , and L. gasseri / L. johnsonii . No samples were found that did not contain at least one of these species, with L. crispatus and L. iners being the most common. Despite the general tendency toward a decrease in the LI level in BV, the patients were divided into three subgroups: with high, moderately reduced, and low LI values. In our opinion, the identified positive correlation for L. iners and a negative one for L. crispatus , with the degree of dysbiosis, does not reflect direct cause-and-effect relationship with respect to BV, since correlations are observed not so much with the clinical manifestations of the disease as with the concentration of lactobacilli. A significant proportion of BV cases with preserved dominance of lactobacilli suggests the existence of at least two forms of this syndrome. One of them, despite the presence of clinical signs, is not associated with a decrease in the number of lactobacilli in the vaginal biocenosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".