Breast Cancer Resistance Protein (BCRP/ABCG2) Inhibits Extra Villous Trophoblast Migration: The Impact of Bacterial and Viral Infection
Bibliographic record
Abstract
Extravillous trophoblasts (EVT) migration into the decidua is critical for establishing placental perfusion and when dysregulated, may lead to pre-eclampsia (PE) and intrauterine growth restriction (IUGR). The breast cancer resistance protein (BCRP; encoded by ABCG2) regulates the fusion of cytotrophoblasts into syncytiotrophoblasts and protects the fetus from maternally derived xenobiotics. Information about BCRP function in EVTs is limited, however placental exposure to bacterial/viral infection leads to BCRP downregulation in syncitiotrophoblasts. We hypothesized that BCRP is involved in the regulation of EVT function and is modulated by infection/inflammation. We report that besides syncitiotrophoblasts and cytotrophoblasts, BCRP is also expressed in EVTs. BCRP inhibits EVT cell migration in HTR8/SVneo (human EVT-like) cells and in human EVT explant cultures, while not affecting cell proliferation. We have also shown that bacterial—lipopolysaccharide (LPS)—and viral antigens—single stranded RNA (ssRNA)—have a profound effect in downregulating ABCG2 and BCRP levels, whilst simultaneously increasing the migration potential of EVT-like cells. Our study reports a novel function of BCRP in early placentation and suggests that exposure of EVTs to maternal infection/inflammation could disrupt their migration potential via the downregulation of BCRP. This could negatively influence placental development/function, contribute to existing obstetric pathologies, and negatively impact pregnancy outcomes and maternal/neonatal health.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".