A KETOGENIC DIET REDUCES TISSUE SODIUM CONTENT: AN EXPLORATORY STUDY
Bibliographic record
Abstract
Objective: Hypertension and diabetes are a substantial global public health problem. The prevalence of these diseases will further increase in the near future, leading to increased health and socioeconomic costs. Hence efficient therapeutic approaches are urgently needed. It has been previously shown that nutritional approaches including a very-low carbohydrate, or a ketogenic diet potentially decrease body weight, blood pressure and glucose levels in patients with type 2 diabetes along with an overall significant reduction in their pill burden. However, the detailed physiological mechanisms underlying the observed induction and maintenance of diabetes remission remain largely unknown. Previous studies have shown that the skin could be a buffer system for sodium and that skin sodium content could be both a pathogenic cause and a marker of hypertension and salt sensitivity. Since a nutritionally created metabolic milieu such as nutritional ketosis can lower blood pressure, we hypothesize that this dietary approach also reduces tissue sodium content. Design and method: By using 7-T 23Na MRI technique, we performed an exploratory study and analyzed skin and muscle sodium concentration before, and after a 6-week ketogenic diet in three healthy probands. Nutritional ketosis was verified by frequent check of blood ketone (beta-hydroxybutyrate; BOHB) levels greater than 0.3 mmol/L. Results: Preliminary data of our planned exploratory study (in patients with chronic kidney disease and type 2 diabetes mellitus and healthy probands) demonstrated that compared to baseline 6 weeks of ketogenic diet decreased tissue sodium content in the skin (16.6 ± 2.1 vs. 12.6 ± 2.1 mmol/L), in the medial gastrocnemius muscle (20.5 ± 0.9 vs. 16.7 ± 0.7 mmol/L), in the lateral gastrocnemius muscle (19.7 ± 1.0 vs. 16.0 ± 1.0 mmol/L) and in the soleus muscle (13.1 ± 0.8 vs. 11.5 ± 0.5 mmol/L). Conclusions: Our results indicate a massive reduction of tissue sodium concentration in healthy volunteers in response to a ketogenic diet which might be associated with the observed clinical benefits and be implicated in the anti-hypertensive effects of this powerful dietary intervention. Findings of this study could have an impact on future treatment strategies of various chronic diseases.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".