Ketogenic Diet Acts on Body Remodeling and MicroRNAs Expression Profile
Bibliographic record
Abstract
BACKGROUND: The Ketogenic Diet (KD) promotes metabolic changes and optimizes energy metabolism. It is unknown if microRNAs (miRs) are influenced by KD in obese subjects. The screening of circulating miRs was performed with the FDA approved platform n-counter flex and blood biochemical parameters were dosed by ADVIA 1800. OBJECTIVES: The aim of this study was to evaluate mir profile under 6 weeks of biphasic KD in obese subjects. We enrolled 36 obese subjects (18 females and 18 males) in stage 1 of Edmonton Obesity Staging System (EOSS) parameter. RESULT: Any correlation was found between biochemical parameter and three miRs, hsa-let-7b-5p, hsa-miR-143-3p and hsa-miR-504-5p influenced in an equal manner in both sexes. The KD resulted safe and ameliorate both biochemical and anthropometric factors in obese subjects re-collocating them into stage 0 of EOSS parameters. CONCLUSION: The miRs herein identified under KD might be a useful tool to monitor low carbohydrate nutritional regimens which reflect indirectly the regulatory biochemical mechanisms and cell signaling that orchestrate metabolic and signaling pathways.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".