111 Validation of the Indicator Amino Acid Oxidation Technique in the Domestic Cat
Bibliographic record
Abstract
Abstract There is a lack of data on the minimum Met or total sulfur AA (SAA) requirements for adult cats. Non-invasive and precise techniques, such as indicator AA oxidation (IAAO) can be used for these purposes. This pilot study aimed to validate the IAAO technique in cats and investigate the effect of dietary Met concentrations and sources on fasted plasma SAA concentrations. Six cats were fed three experimental diets in random order: Met-deficient diet (BASAL; 0.23% Met+Cys-DM) and two Met-sufficient diets in which either DL-Met (DLM) or Met-hydroxy-analogue (MHA) were supplemented, respectively, on an equimolar basis to meet the total SAA requirement (0.34%-DM). After 2d diet adaptation, IAAO studies were performed. Cats were offered 13 ½-hourly small meals. The 6th meal contained a priming dose (4.8 mg/kg-BW) of L-[1-13C]-Phe and the remaining meals the constant dose (1.04 mg/kg-BW). Breath samples were collected ½-hourly to measure 13CO2 enrichment. The following morning after an 16hr fast, blood samples were collected. Isotopic steady-state was evaluated through linear regression models. Plasma AA data were analyzed using PROC GLIMMIX procedure in SAS (Version 9.4). Met concentrations tended to be higher in cats fed DLM compared to BAS (P = 0.0877), but similar to those fed MHA (P > 0.05). Total cysteine plasma concentrations were similar between treatments (P > 0.05). Cats fed BAS had greater concentrations of plasma HCys compared to DLM and MHA (P = 0.0093). Cats did not reach isotopic steady-state in atom percent excess (P >0.05) regardless of the dietary treatment provided. Non-steady-state kinetics models are under development to predict 13CO2 flux. This study indicates that the short-term feeding of a Met-deficient diet in cats results in greater plasma Hcys and a tendency for lower plasma Met concentrations. A higher prime dose of L-[1-13C]-Phe is warranted to achieve isotopic steady-state and successfully apply the IAAO to estimate AA requirements.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".