Guanidinoacetic acid supplementation: A narrative review of its metabolism and effects in swine and poultry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Guanidinoacetic acid (GAA) is an amino acid derivative and precursor for creatine which plays a significant role in energy metabolism. However, because of creatine’s instability during the manufacturing process and cost, GAA has been explored as an effective alternative to creatine supplements. GAA has been tested as a potential feed additive to enhance energy utilization and growth performance in the poultry and swine industries. Moreover, GAA has been combined with methionine to improve growth outcomes and may also act as an arginine-sparing agent in birds. The safety of the GAA supplements for animals, consumers, and the environment and its efficacy in numerous livestock species have been proven. This narrative review discusses the scientific evidence regarding the metabolism and effects of GAA supplementation in swine and poultry, identifying the knowledge gaps and future directions for further research on GAA supplementation. A systematic search of the literature identified published research findings related to GAA supplementation in swine and poultry and their findings are summarized in this narrative review to confirm the impacts of GAA supplementation on growth performance, reproductive performance, and meat quality in swine and poultry. Amongst its many demonstrated benefits, GAA is effective at improving body creatine concentration, growth parameters, feed conversion ratio, and performance of animals. Although GAA exerts many non-creatine roles, including the stimulation of insulin secretion, neuromodulation, and vasodilation, further research may require in-depth elaboration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it