106 Minimum Methionine Requirement in Adult Cats Using the Indicator Amino Acid Oxidation Technique
Bibliographic record
Abstract
Abstract Despite the importance of Met for protein synthesis and a wide range of metabolic functions, little is known about its requirement in adult cats. Current recommendations for adult cats are based solely on studies using kittens and growth or nitrogen balance as the outcomes. Thus, this study aimed to determine the minimum Met requirement in mature cats using the indicator amino acid oxidation (IAAO) technique. Four adult neutered male cats (4.90 + 0.77 kg BW) were used in a Latin rectangle design. Cats were fed a semi-synthetic diet sufficient in Met for 2 weeks prior to being randomly allocated to one of the eight dietary Met treatments (0.12%, 0.17%, 0.21%, 0.28%, 0.35%, 0.42%, 0.50% and 0.57% dry-matter). Cys was provided in excess to spare the Met requirement and meet the Cys requirement. After 2d of adaptation, individual IAAO studies were performed. During each IAAO study day, cats were placed in indirect calorimetry chambers and fed 75% of their daily ration (12.38g/kg BW) split in 13 ½-hourly small meals. A priming dose of NaH13CO3 (0.44mg/kg) and L-[1-13C]-Phe (4.8mg/kg) were provided in the 4th and 5th meal, respectively, following by a constant dose (1.04mg/kg) of L-[1-13C]-Phe in the next meals. Breath samples were collected ½-hourly to measure 13CO2 enrichment to quantify 13CO2 and calculate F13CO2 during isotopic steady state (Phe oxidation). Competing models, broken-line linear (BLL) ascending model, and a broken-line quadratic (BLQ) ascending model, were fitted on F13CO2 to determine the minimum requirement of Met (breakpoint). The BLL yielded the best model with mean minimum Met requirement estimated at 0.305% (dry-matter), and the 95% confidence interval estimated at 0.521% (dry-matter) for adult cats. In conclusion, the estimated min Met requirement in this study is greater than those currently recommended by the NRC (2006; 0.17% dry-matter) and AAFCO (0.2% dry-matter).
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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) | 0.000 | 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) | 0.001 | 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".