High serum creatinine concentration is associated with metabolic perturbations in dogs
| Autor: | Sinikka Sarpanen, Ann-Marie Maatta, Nanna Huuskonen, Katariina Vapalahti, Claudia Ottka, Liisa Jalkanen, Hannes Lohi |
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| Přispěvatelé: | Veterinary Biosciences, Department of Medical and Clinical Genetics, HUSLAB, Departments of Faculty of Veterinary Medicine, Medicum, Helsinki One Health (HOH), Hannes Tapani Lohi / Principal Investigator, Veterinary Genetics, Biosciences |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
CHRONIC KIDNEY-DISEASE
ACIDOSIS Nutrition/Metabolism medicine.medical_specialty Wilcoxon signed-rank test 040301 veterinary sciences LEUCINE Renal function Phenylalanine Standard Article 030204 cardiovascular system & hematology Kidney 413 Veterinary science acute renal failure 0403 veterinary science 03 medical and health sciences chemistry.chemical_compound Dogs 0302 clinical medicine Valine chronic renal failure DIETARY Internal medicine medicine Animals Prospective Studies 2. Zero hunger Creatinine General Veterinary FATTY-ACIDS INDUCE business.industry Albumin 04 agricultural and veterinary sciences metabolomics Standard Articles NMR 3. Good health PREVALENCE Endocrinology chemistry Biomarker (medicine) CHAIN SMALL ANIMAL Docosapentaenoic acid business Biomarkers |
| Zdroj: | Journal of Veterinary Internal Medicine |
| Popis: | Background The kidneys have many essential metabolic functions, and metabolic disturbances during decreased renal function have not been studied extensively. Objectives To identify metabolic changes in blood samples with increased serum creatinine concentration, indicating decreased glomerular filtration. Animals Clinical samples analyzed using a nuclear magnetic resonance (NMR) based metabolomics platform. The case group consisted of 23 samples with serum creatinine concentration >125 mu mol/L, and the control group of 873 samples with serum creatinine concentration within the reference interval. Methods Biomarker association with increased serum creatinine concentration was evaluated utilizing 3 statistical approaches: Wilcoxon rank-sum test, logistic regression analysis (false discovery rate (FDR)-corrected P-values), and random forest classification. Medians of the biomarkers were compared to reference intervals. A heatmap and box plots were used to represent the differences. Results All 3 statistical approaches identified similar analytes associated with increased serum creatinine concentrations. The percentages of citrate, tyrosine, branched-chain amino acids, valine, leucine, albumin, linoleic acid and the ratio of phenylalanine to tyrosine differed significantly using all statistical approaches, acetate differed using the Wilcoxon test and random forest, docosapentaenoic acid percentage only using logistic regression (P |
| Databáze: | OpenAIRE |
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