Restricted fetal blood brain barrier permeability in a preclinical model of autism induced by Group B <i>Streptococcus</i> maternal immune activation
Bibliographic record
Abstract
Abstract Clinical and preclinical data about perinatal inflammation show its implication in brain injuries leading to autism spectrum disorder (ASD). For instance, Group B Streptococcus (GBS) chorioamnionitis generates autistic manifestations in the progeny. However, the precise way(s) how chorioamnionitis exerts its noxious effect on the central nervous system remains to be define. The pathogen-induced inflammatory response effects on the permeability of the blood brain barrier (BBB) have been documented in the mature brain. No study deals with the effect of GBS-induced chorioamnionitis, on the fetal BBB, even though it is one of the most common infection affecting the fetal environment. Given that dysfunctions of several key cells and molecules from the BBB seem to be involved in the pathogenesis of ASD from genetic and/or environmental origins, we hypothesized that pathogen-induced chorioamnionitis affects structurally and functionally the BBB. We used a well-established preclinical model of GBS chorioamnionitis leading to ASD phenotype in male offspring. We document a significant decrease of albumin permeability of the BBB in the white and gray matters of fetuses exposed versus unexposed to GBS chorioamnionitis. In line with this result, a significant increase in the expression of claudin-5 – component of tight junctions of the BBB – is detected in endothelial cells from BBB exposed to chorioamnionitis. Altogether, our results show that beyond genetic determinants, environmental factors such as bacterial infections affect the integrity of the BBB and might be involved in the fetal programming of ASD.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".