Prepartum vaginal microbiota and postpartum uterine microbiota in cows
Bibliographic record
Abstract
Postpartum uterus clears bacteria within 6 weeks; however, up to 40% of dairy cows cannot eliminate uterine infection. Culture-independent approaches based on the analysis of the 16S rRNA gene indentified reduced richness and diversity in the reproductive tract of cows with endometritis. Goal was to characterize the vaginal microbiota before calving and the uterine microbiota after calving in cows that had or not developed endometritis. We compared the results of DNA sequencing with conventional culture methods in uterine samples collected 21 days after calving. Vaginal samples (via cytobrush) from multiparous cows (n = 61) were obtained 1 week before calving (-1w) and uterine samples 1 week (+1w), 3 weeks (+3w), and 5 weeks (+5w) after calving. Samples of healthy cows (n = 11) and cows with endometritis (n = 11) were selected for DNA extraction and 16S rRNA sequencing. Richness and diversity measures in the uterine microbiota were not different between healthy and diseased groups (Chao p = 0.17, Simpson p = 0.29) at -1w, +1w and +5w. Uterine microbiota composition differed (p = 0.03) between groups only at 3 weeks after calving. Diseased cows had a lower relative abundance of Firmicutes and Bacteroidetes and a higher abundance of Actinobacteria than healthy cows. Bacteria that grew in culture were often represented within the most abundant bacterial genera in the DNA sequencing 3 weeks after calving.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".