A Review on the Role of Microbiomes in Reproductive Health and Disease
Bibliographic record
Abstract
Interdependence between microbiota communities and several human biological systems has only recently been established. The mutualistic relationships between humans and microorganisms come from a deep evolutionary basis that continues to be revealed, as more evidence has emerged about how many human systems depend on the mutualistic relationship. Specifically, relationships between the intestinal and vaginal composition of the microbiota communities could serve as potential biomarkers for reproductive health and disease, particularly around fertility and inflammatory illness. Communities of bacterial and fungal species such as Lactobacillus spp. and their biological byproducts are crucial to the regulation of vaginal disease and healthy pregnancies. The dysbiosis of microbiota communities and an overgrowth of pathogenic anaerobic bacteria (characterized by low-grade inflammation, impaired mucosal barrier function, hormonal imbalances, and immune dysregulation) have been found to contribute to infertility, preterm birth, and spontaneous abortion . This review article will focus on the evidence of an interdependent relationship between these communities, and the potential causes of reproductive maladies, including those previously unexplained.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".