Functional evaluation of prorrenin/renin receptor in immune cells from rats with pregnancy‐induced hypertension
Bibliographic record
Abstract
Pregnancy‐induced hypertension (PIH), known before as preeclampsia, is a multisystemic disorder characterized by hypertension, proteinuria and low intrauterine development. Its etiology remains unknown. Several systems seem to participate in PIH genesis. The renin‐angiotensin system (RAS) has been implicated in PIH development. RAS is essential for blood pressure control and hydro‐saline balance. The prorrenin/renin receptor (PRR) is a component of this system. Recent studies have shown that PRR activates PLZF, MAPK pathways (ERK1, ERK2), as well as the Wnt pathway. V‐ATPase has also been related with PRR activation, lowering pH within cells. It is not described yet, however, if PRR activates these mechanisms in leukocytes during pregnancy. In the present work, we evaluated if PRR activates MAPK (ERK 1‐2, TGF‐beta), WNT (β‐catenin, DVL‐1, PKC alfa) pathways and V‐ATPase in leukocytes from normal pregnant and pregnancy‐induced hypertensive rats. We induced PIH in female Wistar rats using sub‐renal aortic coarctation (CASR). We measured proteinuria, systolic and diastolic blood pressure, pups body weight, length, and number. The expression of PRR, β‐catenin, PLZF, ERK1‐2, pERK 1‐2, PCK alfa and TGF‐b was determined by immunoblot in leukocytes from spleen. Our results show a significant increase in PRR and PLZF expression in the PIH model compared to normal pregnancy groups. β‐catenin and, ERK 1‐2 showed a moderate increase. However, DVL‐1 and PKC alfa increased significantly, indicating that PRR seems to activate WNT preferentially over MAPK pathways. Intracellular pH was not modified significantly. Our findings indicate that PRR is functional in immune cells during healthy and complicated pregnancy Support or Funding Information SIP 20150467 and SIP20160667
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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 | 0.001 | 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 | 0.001 |
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".