MétaCan
Menu
Back to cohort
Record W4407356624 · doi:10.1093/tas/txaf017

Dogs fed a high protein, low carbohydrate diet have elevated postprandial plasma glucagon and amino acid concentrations and tend to have lower glucose concentrations compared to two different moderate protein, moderate carbohydrate diets

2025· article· en· W4407356624 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTranslational Animal Science · 2025
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPostprandialCarbohydrateGlucagonInternal medicineEndocrinologyPlasma glucoseChemistryAmino acidGlucagon-like peptide-1High proteinInsulinBiochemistryMedicineDiabetes mellitusFood scienceType 2 diabetes

Abstract

fetched live from OpenAlex

As dog owners continue to seek to feed their dogs similarly to themselves, there is demand for high protein, low carbohydrate (HPLC) diets. The consumption of HPLC diets can improve glycemic control, similarly to high fiber diets. However, the effects of HPLC and high fiber diets on cardiac function have yet to be evaluated in healthy dogs. The objective of the present study was to investigate the glucose, insulin, glucagon and amino acid (AA) postprandial response and echocardiographic measurements in laboratory-housed, adult large breed dogs fed a commercially available HPLC, a moderate protein, moderate carbohydrate (MPMC), or a commercially available MPMC, high fiber, "metabolic" diet for 42 d. This study was conducted as a 3 × 3 Latin square where dogs received: 1) a commercial HPLC diet (48% of metabolizable energy (ME) from protein, 10% of ME from nitrogen-free extract; NFE), 2) a MPMC diet (28% of ME from protein, 39% of ME from NFE) formulated with the same ingredients as HPLC or 3) a MPMC, high fiber, "metabolic" (MET) diet (30% of ME from protein, 37% of ME from NFE) as a commercial control. An echocardiogram and a 12-h glucose, insulin and glucagon response and 6-h AA meal response were performed on day 42 of feeding. Data were analyzed using proc glimmix in SAS (version 9.4). All echocardiographic parameters remained within a healthy reference range for dogs of this size. Dogs fed HPLC had a larger net area under the curve (NetAUC) for plasma glucagon (P < 0.001) compared to dogs fed MPMC and MET, a smaller NetAUC for glucose: insulin (P = 0.039) compared to dogs fed MPMC but MET was similar to both. Glucose NetAUC tended to be different among treatments (P = 0.057), where dogs fed MPMC had a greater netAUC than dogs fed HPLC and dogs fed MET tended to have a greater netAUC than HPLC. Dogs fed HPLC had greater concentrations of Ile, Leu, Lys, Thr, Tyr and Val over time compared to dogs fed MPMC and MET, and dogs fed MET had greater concentrations of Gln and Met over time compared to dogs fed HPLC and MPMC (P < 0.05). Dogs fed a HPLC diet may have improved glucose uptake compared to dogs fed a MPMC diet. This research provides the first insight into the cardiometabolic health of dogs consuming three diets differing in their protein, carbohydrate and fiber content.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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