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.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.008 |
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".