Placental sEVs from Presymptomatic GDM Pregnancies Induce Mitochondrial Dysfunction in Microvasculature and Reveal Early Predictive Lipid Biomarkers
Bibliographic record
Abstract
GDM poses significant risks for adverse pregnancy and long-term cardiometabolic complications for the mother. However, current early detection methods remain limited. Here, we isolated placental sEVs from the plasma of control and GDM pregnancies and employed mass spectrometry to identify potential lipid biomarkers predictive of GDM onset. We challenged endothelial cells with presymptomatic GDM sEVs and assess their impact on maternal microvascular mitochondria. Our findings show that GDM placental sEVs exhibit a distinct lipid profile, with potential for GDM prediction. We demonstrate that presymptomatic GDM placental sEVs disrupt endothelial mitochondrial homeostasis by promoting fission, mitophagy, and impairing OXPHOS, particularly in those GDM pregnancies that later develop preeclampsia. Clinically, our results not only advocate for a change in current practice with earlier GDM screening, as mitochondrial dysfunction occurs in the maternal system well before clinical symptoms emerge but also suggest that placental sEVs may drive the transition from GDM to preeclampsia.
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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 | 0.000 |
| 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".