Non-Nutritive Sweeteners and Their Contradictory Effect on the Control of Energetic and Glycemic Homeostasis
Bibliographic record
Abstract
Non-nutritive sweeteners (NNSs) gained attention as dietary tools that provide a free sweet taste of energy to foods. However, its health benefits have been questioned. The aim of this review is to present and discuss the effects of NNSs on energy and glycemic homeostasis, as well as the mechanisms involved. Recent studies in animals and humans have shown that consumption of NNSs appears to have a negative effect on the energy and glycemic homeostasis, promoting body weight gain, insulin resistance, and hyperglycemia. The hypotheses proposed to explain these effects are changes in the perception of taste sweet and weakening of the cephalic response, interaction of NNSs with sweet-taste receptors in the intestinal tract, and changes in intestinal microbiota. However, the determinants of energy and glucose homeostasis are diverse, which may explain in part the unclear effects evidenced in many studies. Therefore, other studies are important to clarify the conflicts between the safety of NNSs and metabolic disorders. J Endocrinol Metab. 2018;8(6):119-125 doi: https://doi.org/10.14740/jem547
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".