Long-Term Supplementation of GABA Regulates Growth, Food Intake, Locomotion, and Lipid Metabolism by Increasing Ghrelin and Growth Hormone in Adolescent Mice
Bibliographic record
Abstract
Background/Objectives: The amino acid γ-aminobutyric acid (GABA) is the primary neurotransmitter in the central nervous system (CNS) and acts as an autocrine and/or paracrine signaling molecule in various types of non-neuronal cells. On the other hand, GABA is a nutrient found in a variety of foods and is marketed as a health supplement based on a growing number of studies reporting health benefits in humans and recuperations in animal models of diseases. The present study sought to examine whether supplementation of GABA to young mice regulates their growth as well as glucose and lipid metabolism during physiological adolescence. Methods: Mice were supplemented with GABA over a 16-week period with subsequent anthropometric, metabolic, and endocrine measurements. Results: Results showed that 16-week oral supplementation of GABA increased food consumption and body length while attenuating weight gain in male mice but not females. In addition, GABA treatment lowered the index of body fat (Lee index) and increased the expression of lipolytic enzymes in adipose and liver tissues of male mice without affecting blood glucose levels. Remarkably, supplementation of GABA significantly increased the protein expression of growth hormone (GH) in the pituitary gland of both male and female mice. However, it only substantially increased GH levels in the sera of male mice but not females. Moreover, GABA significantly increased the expression of the GH secretagogue peptide ghrelin in the stomachs of male mice only. Conclusions: Together these novel findings suggest that long-term GABA supplementation fundamentally influences the growth and lipid metabolism of males during adolescent development by stimulating ghrelin–GH production and secretion. The mechanisms of GABA-induced sex-dependent upregulations of ghrelin and GH, as well as lipid metabolism in adolescence, await further studies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| 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".