ORIGINAL ARTICLE: Ecology of Danger‐Dependent Cytokine‐Boosted Spontaneous Abortion in the CBA × DBA/2 Mouse Model: II Fecal LPS Levels in Colonies with Different Basal Abortion Rates
Bibliographic record
Abstract
PROBLEM: Previous data have shown that 'danger' signals, such as bacterial lipopolysaccharide (LPS) acting via toll-like receptors (TLR), are conditions antecedent to early pregnancy failure in several murine abortion models. Indeed, the abortion rate increased in the CBA x DBA/2 model after injection of tumor necrosis factor-alpha (TNF-alpha) + interferon (IFN-gamma) on gestation day (GD) 7.5 only if the LPS-TLR signaling pathway was intact. High rates of cytokine-boosted abortion >80% loss can be demonstrable in certain animal colonies that have a high endogenous (spontaneous) rate of resorption (30-50%). A specific role for LPS on GD 0.5 determines the endogenous loss rate and on GD 6.5 the responsiveness to cytokine boosting of losses. Th1 cytokines (or the stress that induces these cytokines) increase intestinal permeability and absorption of luminal contents. It was predicted that intestinal availability of LPS was a major factor in the endogenous and cytokine-boosted resorption rates. METHOD OF STUDY: A fixed weight of fresh mouse droppings from CBA/J female mice house in a high-abortion-rate (30-40%) colony at Clamart, France was homogenized and filtered. Fresh mouse droppings from a low-abortion-rate (10-15%) colony in Berlin, Germany were similarly processed. LPS was assayed using the Limulus amoebocyte lysate bioassay. RESULTS: To our surprise, there was no significant difference in LPS content of fecal samples from the two colonies. CONCLUSION: A high endogenous rate of abortion and cytokine (or stress) boosted abortion in the CBA x DBA/2 model is not explained by the LPS content of feces. Possible explanations include: fecal LPS does not reflect small intestinal LPS, there are additional TLR signals besides LPS that are important and endogenous stress levels may be higher in high-abortion-rate colonies, so permeability of the intestine (and Th1 cytokine levels) may be already higher. These data have implications for studies on the role of flora in human pregnancy problems.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".