Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: The renal distal tubule has been considered for a long time as the main cellular target of aldosterone, where the hormone enhances sodium reabsorption and potassium secretion. However, other cell types in nonepithelial tissues, such as the heart, the vessels, adipose tissue, and macrophages, are now also recognized as targets for aldosterone. The functions that aldosterone exerts in these nonclassical target tissues are still a matter of debate. This review will highlight the recent findings on the extrarenal effects of aldosterone. RECENT FINDINGS: Numerous studies showed that aldosterone exerts profibrotic and proinflammatory effects, but one or more cofactors such as salt, angiotensin II, and oxidative stress are required. Moreover, inflammation and macrophage infiltration are a prerequisite to aldosterone-induced cardiac fibrosis. This underlines a key role for aldosterone and the mineralocorticoid receptor in macrophages. Inflammatory effects of aldosterone in vascular smooth muscle cells involve trafficking to lipid rafts/caveolae through receptor tyrosine kinases. Finally, a growing body of evidence indicates a prominent role of aldosterone/mineralocorticoid receptor in the metabolic syndrome, in insulin resistance, and in adipocyte biology. SUMMARY: The idiom from Socrates, 'the more we learn, the less we know', can be applied to aldosterone with its different facets and its pleiotropic effects. There is clear evidence for rapid nongenomic effects of aldosterone, mineralocorticoid receptor-dependent and mineralocorticoid receptor-independent signaling, in the heart, the vessels, and other nonepithelial tissues, leading to inflammation, fibrosis, and progression of cardiovascular diseases including hypertension and metabolic syndrome.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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 it