Metabolomic serum abnormalities in dogs with hepatopathies

Imbery, C A; Dieterle, Frank; Ottka, Claudia; Weber, Corinna; Schlotterbeck, Götz; Müller, Elisabeth; Lohi, Hannes; Giger, Urs

doi:10.1038/s41598-022-09056-5

Cited by 10 publications

(14 citation statements)

References 92 publications

(127 reference statements)

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“…However, the ranges of ages in each group were broad and overlapping. In a simultaneously performed study on canine hepatopathies, we showed that there were no significant differences in serum concentrations of the metabolomics data between younger and older adult control dogs (expect citrate concentrations, p = 0.049) [20]. The serum samples of the CONT group used in this study were also part of the control group in this recent study on canine hepatopathies [20].…”

Section: Discussionmentioning

confidence: 55%

“…Furthermore, 11 relative concentrations of fatty acids and seven selected amino acid ratios were calculated. The resulting 123 metabolic parameters were also documented in our recent study of canine hepatopathies [20]. Medians for all parameters of the CONT group fell in the previously established serum reference intervals for dogs of all ages [19].…”

Section: Metabolomic Analysesmentioning

confidence: 71%

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Metabolomic Abnormalities in Serum from Untreated and Treated Dogs with Hyper- and Hypoadrenocorticism

et al. 2022

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The adrenal glands play a major role in metabolic processes, and both excess and insufficient serum cortisol concentrations can lead to serious metabolic consequences. Hyper- and hypoadrenocorticism represent a diagnostic and therapeutic challenge. Serum samples from dogs with untreated hyperadrenocorticism (n = 27), hyperadrenocorticism undergoing treatment (n = 28), as well as with untreated (n = 35) and treated hypoadrenocorticism (n = 23) were analyzed and compared to apparently healthy dogs (n = 40). A validated targeted proton nuclear magnetic resonance (1H NMR) platform was used to quantify 123 parameters. Principal component analysis separated the untreated endocrinopathies. The serum samples of dogs with untreated endocrinopathies showed various metabolic abnormalities with often contrasting results particularly in serum concentrations of fatty acids, and high- and low-density lipoproteins and their constituents, which were predominantly increased in hyperadrenocorticism and decreased in hypoadrenocorticism, while amino acid concentrations changed in various directions. Many observed serum metabolic abnormalities tended to normalize with medical treatment, but normalization was incomplete when compared to levels in apparently healthy dogs. Application of machine learning models based on the metabolomics data showed good classification, with misclassifications primarily observed in treated groups. Characterization of metabolic changes enhances our understanding of these endocrinopathies. Further assessment of the recognized incomplete reversal of metabolic alterations during medical treatment may improve disease management.

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Section: Discussionmentioning

confidence: 55%

Section: Metabolomic Analysesmentioning

confidence: 71%

Metabolomic Abnormalities in Serum from Untreated and Treated Dogs with Hyper- and Hypoadrenocorticism

et al. 2022

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“…GlycA is a composite inflammatory marker elevated in multiple chronic diseases in humans, and is associated with chronic low-grade inflammation, risk of severe infection, diabetes mellitus, and even mortality (Ahola-Olli et al, 2019;Würtz et al, 2017). Until now, it has been scarcely studied in dogs, but elevated concentrations have been observed in dogs with hypo-and hyperadrenocorticism, elevated liver enzyme activities, hyperlipidemia and phenobarbital treatment (Imbery et al, 2022a(Imbery et al, , 2022bOttka et al 2021aOttka et al , 2021b.…”

Section: Resultsmentioning

confidence: 99%

“…Thus, results of glucose and lactate should be interpreted with caution. However, the use of the leftover samples and comparison with well-established markers is still an excellent, animal-friendly resource for new insights and hypothesis generation (Imbery et al, 2022a(Imbery et al, , 2022bOttka et al, 2021b).…”

Section: Resultsmentioning

confidence: 99%

Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine

Ottka

Puurunen²,

Müller

et al. 2022

Metabolomics

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Introduction Metabolomics studies in canine endocrine abnormalities are sparse and basic information on these abnormalities must be generated. Objectives To characterize the metabolic changes associated with elevated fructosamine, reflecting poor glycemic control, and low thyroxine, a thyroid hormone controlling metabolism. Methods Leftovers of clinical serum samples; 25 controls, 79 high fructosamine, and 47 low thyroxine, were analyzed using 1H NMR and differences were evaluated using Firth logistic regression. Results Both high fructosamine and low thyroxine were associated with changes in concentrations of multiple metabolites, including glycoprotein acetyls and lipids. Conclusion These findings suggest promising makers for further research and clinical validation.

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“…In particular, neoplastic diseases investigated through omics technologies are hematopoietic neoplasms [79][80][81][82], mammary tumors [83][84][85], oral neoplasms [86], neuroendocrine tumors [87], and melanocytic tumors [73,88]. Further disorders addressed by omics approaches include cardiopathies [89][90][91], endocrinopathies such as hyperadrenocorticism [92] and diabetes mellitus [93,94], hepatopathies [95][96][97], chronic kidney disease [98,99], and inflammatory/infectious diseases(i.e., sepsis [100], pyometra [101], and vector-borne diseases [102,103]). Interestingly, using omics approaches, great attention has also been paid to the gut microbiota [104,105] and dietary regimens [106,107].…”

Section: Integrative Multiomics Approaches In Veterinary Medicinementioning

confidence: 99%

Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine

Miglio,

Cremonini,

Leonardi

et al. 2023

Transfus Med Hemother

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Background: Omics technologies represent a new analytical approach that allows a full cellular readout through the simultaneous analysis of thousands of molecules. The application of such technologies represents a flourishing field of research in human medicine, especially in transfusion medicine, while their application in veterinary medicine still needs to be developed. Summary: Omics technologies, especially proteomics, metabolomics, and lipidomics, are currently applied in several fields of human medicine. In transfusion medicine, the creation and integration of multiomics datasets have uncovered intricate molecular pathways occurring within blood bags during storage. In particular, the research has been directed toward the study of storage lesions (SLs), i.e., those biochemical and structural changes that red blood cells (RBCs) undergo during hypothermic storage, their causes, and the development of new strategies to prevent them. However, due to their challenges to perform and high costs, these technologies are hardly accessible to veterinary research, where their application dates back only to the last few years and thus a great deal of progress still needs to be made. As regards veterinary medicine, there are only a few studies that have focused mainly on fields such as oncology, nutrition, cardiology, and nephrology. Other studies have suggested omics datasets that provide important insights for future comparative investigations between human and nonhuman species. Regarding the study of storage lesions and, more generally, the veterinary transfusion field, there is a marked lack of available omics data and results with relevance for clinical practice. Key Messages: The use of omics technologies in human medicine is well established and has led to promising results in blood transfusion and related practices knowledge. Transfusion practice is a burgeoning field in veterinary medicine, but, to date, there are no species-specific procedures and techniques for the collection and storage of blood units and those validated in the human species are univocally pursued. Multiomics analysis of the species-specific RBCs’ biological characteristics could provide promising results both from a comparative perspective, by increasing our understanding of species suitable to be used as animal models, and in a strictly veterinary view, by contributing to the development of animal-targeted procedures.

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Metabolomic serum abnormalities in dogs with hepatopathies

Cited by 10 publications

References 92 publications

Metabolomic Abnormalities in Serum from Untreated and Treated Dogs with Hyper- and Hypoadrenocorticism

Metabolomic Abnormalities in Serum from Untreated and Treated Dogs with Hyper- and Hypoadrenocorticism

Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine

Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine

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