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Record W4415502882 · doi:10.1093/jas/skaf364

Reformulation of a crystalline amino acid reference diet improves oxidation response but remains insufficient for assessing methionine bioavailability in extruded dog diets

2025· article· en· W4415502882 on OpenAlexaff
Michelina Crosbie, James R Templeman, Júlia Guazzelli Pezzali, Alexandra Rankovic, Glenda Courtney‐Martin, Crystal L Levesque, Leslie Hancock‐Monroe, Preston R. Buff, Daniel A Columbus, Anna K. Shoveller

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of TorontoUniversity of SaskatchewanUniversity of Guelph
Fundersnot available
KeywordsMethionineValineMealLimitingLatin squareBioavailabilityAmino acid

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.339
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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