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Record W4402533346 · doi:10.1093/jas/skae234.601

PSVI-4 Impact of rotational ingredient supplements on canine GI health when exposed to rapid dietary change

2024· article· en· W4402533346 on OpenAlexaboutno aff
Cierra N Crowell, Erin Perry, Eileen Jenkins, Daisy Kaplan, Debra L. Zoran, George E. Moore, Tracy A. Darling, Michael S. Davis, Jan S. Suchodolski

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
Fundersnot available
KeywordsIngredientFood scienceChemistryAnimal scienceBiology

Abstract

fetched live from OpenAlex

Abstract Rotational feeding has been suggested in recent years as a method for improving “food boredom” in dogs. Some owners choose to add diversity to the canine diet for enrichment and potential cognitive benefits. However, little data are available on effects of rotational feeding strategies to gastrointestinal health, gut metabolites, and potential impacts to fecal consistency. The objective of this study was to understand the impact of rotational ingredient exposure on the ability of the dog to withstand an abrupt dietary change based on fecal pH, fecal dysbiosis index (DI), fecal score, calprotectin, and C-reactive protein (CrP). Labrador retrievers [n = 16; 1 to 3 yr of age; body condition scores (BCS) = 5 to 6] enrolled in detection dog training and receiving daily conditioning (exercise), were used in a 120-d study investigating the effects of an abrupt diet change on dogs with and without novel ingredient exposures. Study participants were assigned to one of two treatment groups. Control dogs (CON) received the basal diet and treatment dogs (ROT) received the basal diet along with the addition of rotating supplemental ingredients (2.5% total daily DM intake) over 90 d including oatmeal, blueberries, pumpkin, beef liver, salmon, and rabbit. All dogs were acclimated to the basal diet for 30 d, after which dogs in both groups were exposed to an abrupt (untransitioned) diet change [two meals (am and pm feeding)] on d 0, d 45, and d 90. Morning fecal samples at each timepoint were collected for three consecutive days and analyzed for fecal pH, DI, and calprotectin. Blood samples were collected 6 h following the AM dietary challenge and were used to measure CrP. Statistical analysis was performed using PROC MIXED and significance was set at 5%. Rotational ingredient supplemental did not impact DI (P = 0.0844). Similarly, fecal pH and calprotectin were unaffected by the addition of rotating ingredients (P = 0.7243; P = 0.9356, respectively). Fecal scores did not change by period (P = 0.0768) or by treatment (P = 0.9002). Values for CrP demonstrated no treatment effect on acute phase response (P = 0.8022). Markers of gastrointestinal health remained consistent, and tolerant, of rapid dietary change in both treatment groups. These findings suggest that the inclusion of rotational dietary ingredients may be well tolerated in healthy active canines, thus allowing owners to safely introduce diverse ingredients (at low levels) to the diet of their dog with minimum risk to health challenges.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.105
GPT teacher head0.403
Teacher spread0.298 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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