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Elevated blood creatinine -a biomarker of renal function-associates with multiple metabolic perturbations in dogs

View ORCID ProfileClaudia Ottka, View ORCID ProfileKatariina Vapalahti, Ann-Marie Määttä, Nanna Huuskonen, Sinikka Sarpanen, Liisa Jalkanen, View ORCID ProfileHannes Lohi
doi: https://doi.org/10.1101/2020.05.06.078063
Claudia Ottka
1PetBIOMICS Ltd., Helsinki, Finland
2Department of Veterinary Biosciences and Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
3Folkhälsan Research Center, Helsinki, Finland
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  • For correspondence: claudia.ottka@petbiomics.com
Katariina Vapalahti
1PetBIOMICS Ltd., Helsinki, Finland
2Department of Veterinary Biosciences and Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
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Ann-Marie Määttä
4Movet Ltd., Kuopio, Finland
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Nanna Huuskonen
4Movet Ltd., Kuopio, Finland
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Sinikka Sarpanen
5Kuopion Eläinlääkärikeskus Ltd., Kuopio, Finland
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Liisa Jalkanen
6Pieneläinvastaanotto Punaturkki Ltd., Kuopio, Finland
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Hannes Lohi
1PetBIOMICS Ltd., Helsinki, Finland
2Department of Veterinary Biosciences and Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
3Folkhälsan Research Center, Helsinki, Finland
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Abstract

BACKGROUND Renal diseases, such as chronic kidney disease (CKD) are common in dogs. While the kidneys have multiple important metabolic functions, the occurrence of metabolic disturbances in canine renal diseases has not been extensively studied.

OBJECTIVES To identify metabolic changes in blood samples exhibiting elevated blood creatinine, indicating reduced renal filtration.

ANIMALS Samples consisted of clinical samples analysed by a 1H NMR-based metabolomics platform. The case group included 23 samples with creatinine > 125 μmol/l, and the control group 873 samples with creatinine within the reference interval.

METHODS Biomarker association with elevated creatinine was evaluated utilizing three statistical approaches: Wilcoxon rank-sum test and logistic regression analysis (FDR-corrected p-values), and classification using random forest. Means of the biomarkers were compared to reference intervals. A heatmap and histograms visualized the differences.

RESULTS The levels of citrate, tyrosine, branched-chain amino acids, valine, leucine, albumin, linoleic acid % and the ratio of phenylalanine to tyrosine differed significantly both in the Wilcoxon test and logistic regression, acetate levels only in Wilcoxon test and docosapentaenoic acid % only in logistic regression (p <. 05). The ten most significant markers in random forest corresponded to the Wilcoxon test, supplemented with alanine.

CONCLUSIONS AND CLINICAL IMPORTANCE This study identified multiple metabolic changes associated with elevated blood creatinine, including prospective diagnostic markers and therapeutic targets. The NMR metabolomics test is a promising tool for improving diagnostics and management of canine renal diseases. Further research is needed to verify the association of these changes to the canine patient’s clinical state.

Competing Interest Statement

The study was funded by PetBIOMICS Ltd and the Academy of Finland (308887). CO is an employee, KV a previous employee, and HL is an owner and the Chairman of the Board of PetBIOMICS Ltd. AMM is the CEO, and NH a member of board of Movet Ltd. SS is an owner and CEO of Kuopion Elainlaakarikeskus Ltd. LJ is an owner and chairman of board of Pienelainvastaanottoo Punaturkki Ltd.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted May 07, 2020.
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Elevated blood creatinine -a biomarker of renal function-associates with multiple metabolic perturbations in dogs
Claudia Ottka, Katariina Vapalahti, Ann-Marie Määttä, Nanna Huuskonen, Sinikka Sarpanen, Liisa Jalkanen, Hannes Lohi
bioRxiv 2020.05.06.078063; doi: https://doi.org/10.1101/2020.05.06.078063
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Elevated blood creatinine -a biomarker of renal function-associates with multiple metabolic perturbations in dogs
Claudia Ottka, Katariina Vapalahti, Ann-Marie Määttä, Nanna Huuskonen, Sinikka Sarpanen, Liisa Jalkanen, Hannes Lohi
bioRxiv 2020.05.06.078063; doi: https://doi.org/10.1101/2020.05.06.078063

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