Trial reportThe journal of nutrition, health & aging2016
Nutritional Interventions that Slow the Age-Associated Decline in Renal Function in a Canine Geriatric Model for Elderly Humans.
Trial report in The journal of nutrition, health & aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 23 citations in OpenAlex.
- Advances in Functional Pet Food Research: Health-Driven Ingredients, Nutritional Targets and Evidence-Based Claims.Animals : an open access journal from MDPI · 2026Review
- From functional ingredients to bioactive compounds: a review of their role in commercial pet food.Veterinary research communications · 2026Review
- Serum total protein-to-albumin ratio and adverse clinical outcomes in patients with diabetes and chronic kidney disease: a comparative study of US and Chinese cohorts.International urology and nephrology · 2026Article
- Predicting stage B2 myxomatous mitral valve disease in dogs using machine learning and routine clinical data.Frontiers in veterinary science · 2026Article
- Systematic Review and Meta-Analysis of Quality Claims Associated with Fresh Pet Food: Evaluating Scientific Evidence for Additives, Ingredient Quality, and Effects of Processing in Pet Nutrition.Animals : an open access journal from MDPI · 2025Review
- Nutraceuticals, Social Interaction, and Psychophysiological Influence on Pet Health and Well-Being: Focus on Dogs and Cats.Veterinary sciences · 2025Review
- Renal-Protective Roles of Lipoic Acid in Kidney Disease.Nutrients · 2023Review
- Roles of plant-based ingredients and phytonutrients in canine nutrition and health.Journal of animal physiology and animal nutrition · 2022Review
- High serum creatinine concentration is associated with metabolic perturbations in dogs.Journal of veterinary internal medicine · 2021Article
- Cannabis, One Health, and Veterinary Medicine: Cannabinoids' Role in Public Health, Food Safety, and Translational Medicine.Rambam Maimonides medical journal · 2020Review
- The Effects of Nutrition on the Gastrointestinal Microbiome of Cats and Dogs: Impact on Health and Disease.Frontiers in microbiology · 2020Review
- Influence of Dietary Ingredients on Lean Body Percent, Uremic Toxin Concentrations, and Kidney Function in Senior-Adult Cats.Metabolites · 2019Article
- The Benefit of Anti-Inflammatory and Renal-Protective Dietary Ingredients on the Biological Processes of Aging in the Kidney.Biology · 2018Review
- Plasma alpha-tochopherol determined by HPLC in dogs at different stages of chronic kidney disease: a retrospective study.Veterinary research communications · 2017Article
- Serum symmetric dimethylarginine in older dogs: Reference interval and comparison of a gold standard method with the ELISA.Journal of veterinary internal medicineArticle
- Longitudinal Study of Renal Health Screening in Apparently Healthy Aging Dogs.Journal of veterinary internal medicineArticle
- Letter to the Editor.Journal of veterinary internal medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine the effects of feeding traditional and renal protective foods (RPF) supplemented with functional food bioactives on glomerular filtration rate (GFR), lean body percent (LB%), and selected circulating biomarker and metabolite concentrations in a geriatric dog model.
designRandomized block design and cross-sectional study.
settingHill's Pet Nutrition, Inc. dog colony.
participantsEighty-one geriatric dogs (mean age, 10.4; range, 7.9-14.2 years) and 30 mature-adult dogs (mean age, 5.0; range, 3.3-6.9 years).
interventionGeriatric dogs were fed one of three foods (n = 27 per group) for 6 months: a traditional RPF (control) that was energy dense and mildly protein-restricted, or control food supplemented with increasing amounts of functional food bioactives: fish oil, lipoic acid, fruits and vegetables, and higher quality protein sources [functional foods one (FF1) and two (FF2)]. Geriatric dogs were compared before and after the feeding trial with mature adult dogs. MEASUREMENTS: Renal function was assessed by GFR, LB% was determined by dual energy x-ray absorptiometry, and circulating biomarkers and metabolites were measured in blood.
resultsBefore the feeding trial, GFR (+28.2%), LB% (+18.6%), and serum total protein (+10.0%) were higher in mature versus healthy geriatric dogs (all P<0.001). Geriatric dogs consuming all three foods increased (P<0.001) GFR over time; group averages ranged from 13.0-16.9%. Dogs fed the highest supplemented level of bioactives (FF2) had lower (P<0.001) symmetric dimethylarginine (SDMA) concentrations (-14.3%). Feeding functional foods did not alter body weight, but increased (P<0.001) serum protein concentration (+6.7%).
conclusionSupplementation with functional food bioactives can temporarily reverse the age-associated decline in renal function and serum total protein.
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Registered trials
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.