Intracellular Ions in Salt-Sensitive Essential Hypertension: Possible Role of Calcium-Regulating Hormones
Bibliographic record
Abstract
To study the blood pressure, ionic, and hormonal responses to chronic dietary salt loading, we measured RBC pHi, Mgi, Nai, and Cai, and compared these with serum levels of Ca-io, 1,25-D, and free levels of PHF in salt-sensitive and salt-insensitive essential hypertension subjects on low and high (200 mEq/day less than UNaV less than 50 mEq/day) dietary salt intakes. As a group, salt loading significantly increased diastolic blood pressure (7.6 +/- /3%), Nai (25.5 +/- /8%) and Cai (27.0 +/- /11%), while Mgi (-14.2 +/- 7%) and pHi (-0.03 +/- /0.01 pH units) fell. Significant changes in pHi, Cai, and Mgi occurred only in SS individuals, who also exhibited elevated levels of 1,25-D and of PHF in association with suppression of Ca-io. Altogether, the pressor response to salt was inversely related to the basal pHi (p less than 0.001), and to the degree of salt-induced suppression of Ca-io (p less than 0.001) and Mgi (p less than 0.001), while being directly related to the basal PHF (p less than 0.001) and to the salt-induced stimulation of 1,25-D (p less than 0.005). We hypothesize that elevated levels of 1,25-D and PHF coordinately shift intracellular cation levels and stimulate cellular calcium uptake from the extracellular space. As such, these calcium-regulating hormones may be responsible, at least in part, for salt-sensitive hypertension.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".