The interaction between prorenin, renin and the (pro)renin receptor
Bibliographic record
Abstract
PURPOSE OF REVIEW: Elevated prorenin levels are seen in diabetics with microvascular disease. The discovery of a receptor capable of binding renin and prorenin [(P)RR] and triggering an intracellular signal in the laboratory setting raised the expectation that prorenin might be directly responsible for these vascular disorders. However, there has been substantial disagreement concerning the signaling properties of renin and prorenin and it has been impossible to inactivate the (P)RR gene in mouse to define its function. RECENT FINDINGS: Mouse and rat models in which prorenin is highly overexpressed do not demonstrate the glomerulosclerosis typically seen in severe diabetic nephropathy, but do exhibit an increase in blood pressure that is angiotensin II-dependent. (P)RR has been shown to colocalize with other subunits of the vacuolar ATPase in the kidney and heart and to be necessary for Wnt signaling in a renin-independent manner. Although whole-body inactivation of the (P)RR gene is lethal, tissue-specific inactivation results in severe disorders associated with massive cell death. SUMMARY: These results do not support a role of direct prorenin or renin signaling through (P)RR in vascular disorders. Rather, they suggest that the main role of (P)RR is as a subunit of the vacuolarATPase complex. Whether or not (P)RR is responsible for the ability of prorenin to generate angiotensin II in tissues has not been resolved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".