MicroRNA-210 Contributes to Preeclampsia by Downregulating Potassium Channel Modulatory Factor 1
Bibliographic record
Abstract
Preeclampsia is a pregnancy-specific syndrome manifested by the onset of hypertension and proteinuria after the 20th week of gestation. Abnormal placenta development has been generally accepted as the initial cause of the disorder. Recently, microRNA-210 (miR-210) has been found to be upregulated in preeclamptic placentas compared with normal placentas, indicating a possible association of this small molecule with the placental pathology of preeclampsia. However, the function of miR-210 in the development of the placenta remains elusive. The aim of this study was to characterize the molecular mechanism of preeclampsia development by examining the role of miR-210. In this study, miR-210 and potassium channel modulatory factor 1 (KCMF1) expressions were compared in placentas from healthy pregnant individuals and patients with preeclampsia, and the role of miR-210 in trophoblast cell invasion via the downregulation of KCMF1 was investigated in the immortal trophoblast cell line HTR8/SVneo. The levels of KCMF1 were significantly lower in preeclamptic placenta tissues than in gestational week-matched normal placentas, which was inversely correlated with the level of miR-210. KCMF1 was validated as the direct target of miR-210 using real-time polymerase chain reaction, Western blotting, and dual luciferase assay in HTR8/SVneo cells. miR-210 inhibited the invasion of trophoblast cells, and this inhibition was abrogated by the overexpression of KCMF1. The inflammatory factor tumor necrosis factor-α could upregulate miR-210 while suppressing KCMF1 expression in HTR8/SVneo cells. This is the first report on the function of KCMF1 in human placental trophoblast cells, and the data indicate that aberrant miR-210 expression may contribute to the occurrence of preeclampsia by interfering with KCMF1-mediated signaling in the human placenta.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".