Evidence map›Paper›PMID 41742583›Full record

ArticleJournal of veterinary internal medicine2026

Circulating lipid profiles and post-prandial glucose and insulin in response to dietary macronutrient composition in lean and obese cats.

Hannah Godfrey, Érico M Ribeiro, Shoshana Verton-Shaw, Anna Kate Shoveller, Darcia Kostiuk, Janelle Kelly, Jennifer Saunders Blades, Ron Johnson, Adronie Verbrugghe

Abstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hannah GodfreyDepartment of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-2102-6926
Érico M RibeiroDepartment of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-7378-2814
Shoshana Verton-ShawDepartment of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Anna Kate ShovellerDepartment of Animal Biosciences, Ontario Agricultural College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-2584-4774
Darcia KostiukChampion Petfoods Holding Inc., Department of Research, Innovation and Product Development, Morinville, Alberta, Canada.
Janelle KellyChampion Petfoods Holding Inc., Department of Research, Innovation and Product Development, Morinville, Alberta, Canada.
Jennifer Saunders BladesChampion Petfoods Holding Inc., Department of Research, Innovation and Product Development, Morinville, Alberta, Canada.ORCID 0009-0007-0155-9921
Ron JohnsonDepartment of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Adronie VerbruggheDepartment of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-6366-8866

Funding

Mitacs Accelerate IT34635Natural Sciences and Engineering Research Council (NSERC) ALLRP 580904-22
6 · The paper itself

Abstract

backgroundInsulin response to a meal is crucial for metabolic health in cats, influencing the risk of metabolic disorders. HYPOTHESIS/

objectivesInvestigate dietary macronutrient compositions on fasted and post-prandial insulin and glucose responses, and lipid profiles, in lean and obese cats. ANIMALS: Nine lean and 9 obese, male neutered colony cats.

methodsCats were fed 3 extruded dry diets: low protein (LP: 28% protein, 40% fat, and 32% nitrogen-free extract [NFE]), low fat (LF: 40% protein, 30% fat, and 30% NFE), and low carbohydrate (LC: 36% protein, 41% fat, and 23% NFE) for 28 days using a 3 × 3 Latin square design. Fasted and post-prandial blood samples were collected to measure serum insulin and whole blood glucose concentrations, and fasted samples were analyzed for serum cholesterol, triacylglycerol (TAG), nonesterified fatty acid (NEFA), very low-density lipoprotein (VLDL), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c) concentrations at the end of each period.

resultsNo differences were found in serum insulin, glucose, cholesterol, NEFA, TAG, HDL-c, LDL-c, or VLDL concentrations between lean and obese cats (P > .05) suggesting dyslipidemia was not present in the obese cats. The LP diet resulted in lower post-prandial insulin concentrations compared with the LC and LF diets (P = .01) which was attributed to lower protein intake with the LP diet. As expected, the LF diet led to lower fasted serum cholesterol and LDL-c concentrations compared with the LP and LC diets (P < .001). CONCLUSIONS AND CLINICAL IMPORTANCE: These findings document the metabolic flexibility of cats and suggest that dietary macronutrient composition, particularly protein content, plays an important role in modulating insulin responses in adult, otherwise healthy, cats.

Indexed as

cholesteroldietary carbohydratedietary fatdietary proteinfeline nutritioninsulin sensitivitylipoproteinswhole blood glucose

Identifiers

PMID41742583
PMCPMC12910623

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.