Inhibition of Human Trophoblast Invasiveness by High Glucose Concentrations
Bibliographic record
Abstract
CONTEXT: Trophoblast invasion of the uterus is regulated by local microenvironmental factors. OBJECTIVE: Because certain conditions may affect uterine glucose levels during placentation, the aim of this study was to determine the effect of glucose concentration on trophoblast invasion. RESULTS: Compared with incubation in 0.2 and 2.5 mm glucose, a 24-h incubation in increasing glucose concentrations (5 and 10 mm) resulted in up to a 62% inhibition (P < 0.01) of the in vitro invasiveness of immortalized HTR-8/SVneo trophoblasts. This decreased invasiveness in 5 and 10 mm glucose was paralleled by inhibition of a plasminogen activator (PA) activity corresponding to active urokinase-type PA (uPA). Inhibition of pro-uPA binding to the uPA receptor decreased the invasiveness of cells incubated in 0.2 and 2.5 mm glucose to levels observed in cells incubated in higher glucose concentrations (P < 0.05). Gelatin zymography and Western blot analysis revealed that the levels of matrix metalloproteinase-2 and -9, PA inhibitor-1, and uPA receptor were unaffected by glucose. Glucose transporter-1 levels were 26 and 34% higher in cells cultured in 2.5 and 0.2 mm glucose, respectively, vs. 5 or 10 mm glucose (P < 0.05). In contrast, glucose transporter-3 levels were not affected by incubation in various glucose concentrations. CONCLUSIONS: These findings indicate that high glucose concentrations inhibit the invasiveness of HTR-8/SVneo cells by preventing uPA activation. Therefore, through its effects on uPA activity, glucose may be an important regulator of trophoblast invasiveness during implantation and placentation.
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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 | 0.000 | 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) | 0.002 | 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".