Reformulation of a crystalline amino acid reference diet improves oxidation response but remains insufficient for assessing methionine bioavailability in extruded dog diets
Bibliographic record
Abstract
Previously, a semi-synthetic crystalline amino acid (AA) reference (BAS) diet, limited in methionine (Met) but providing indispensable AAs (IDAA) at 120% of Association of American Feed Control Officials (AAFCO) recommendations for adult dogs had no oxidation response, indicating another limiting AA. Thus, we could not determine the metabolic availability (MA) of dietary Met in peas and chicken meal (ChM), the latter having the lowest oxidation level. Therefore, we sought to determine if reformulating the BAS diet AA profile to match the IDAA content of the ChM diet would allow for determination of the MA of Met in peas and ChM over two experiments. In the reformulated BAS63+ diet, we increased arginine, histidine, isoleucine, leucine, lysine, threonine, and valine relative to the original BAS63- diet, while maintaining Met at 63% of requirement (0.33% DM). In Exp 1, one neutered male dog (3 years old; 30.3 kg BW) was used in a two-period switchback design to receive BAS63- and BAS63+. Following a 2-d adaptation, the indicator AA oxidation (IAAO) technique was used. The dog received 13 small meals, with meal 6 containing a priming dose (9.4 mg/kg BW) of L-[1-13C]-phenylalanine (Phe, 99%), followed by a constant dose (2.4 mg/kg BW) in meals 6-13. Breath samples were collected to measure 13CO2 enrichment, and oxidation was calculated (F13CO2/kg BW/h). The BAS63+ diet improved oxidation by 84% and was used in Exp 2. In Exp 2, seven neutered male mixed-breed dogs (3 years old; 26.3 ± 2.0 kg BW) were used in a partially replicated 5 × 5 Latin square design to receive isonitrogenous and isoenergetic dietary treatments: BAS63+, ChM63 (ChM and lamb-based diet), and PEA63 (green pea and lamb-based diet), all providing Met at 63% (0.33% DM) of requirement. Two additional BAS diets were created with Met at 19% (BAS19+; 0.10% DM) and 40% (BAS40+; 0.21% DM) of requirement. This created two and three graded levels of Met for ChM and peas, and the BAS diet, respectively, allowing for a slope ratio approach to quantify MA using the BAS19+ diet as the common first point. The IAAO technique was performed in Exp 2 using the same protocol. Data were analyzed using Proc GLIMMIX with dog and period as random effects and diet, %Met, and their interaction as fixed effects. Overall, ChM had the lowest oxidation level, and the MA of Met in peas was 58% relative to ChM. The higher oxidation in the BAS63+ compared to ChM suggests another AA may still be limiting in the BAS diet.
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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 | 0.001 |
| 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".