Differences in metabolic profiles between the Burmese, the Maine coon and the Birman cat—Three breeds with varying risk for diabetes mellitus

Öhlund, Malin; Müllner, Ernst W.; Moazzami, Ali A.; Hermansson, Ulrika; Pettersson, Ann; Anderson, Fredrick; Häggström, Jens; Hansson-Hamlin, Helene; Holst, Bodil Ström

doi:10.1371/journal.pone.0249322

Cited by 4 publications

(3 citation statements)

References 71 publications

(88 reference statements)

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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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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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Section: Introductionmentioning

confidence: 99%

“…26 Fewer metabolomic studies have been carried out in veterinary medicine 27,28 and only a few of them in cats. These studies focused on feline metabolome in DM, 29,30 metabolic syndrome, 31 inflammatory bowel disease and alimentary small cell lymphoma, 32 mammary carcinoma, 33 and chronic kidney disease. 34 In light of promising results of human studies and the need for improvement in diagnostic tests for FP we performed an untargeted metabolomic study aiming to identify metabolites significantly correlated with fPLI and attempted to determine how well they distinguish between cats with normal and increased fPLI.…”

Section: Introductionmentioning

confidence: 99%

Correlation between metabolomic profile constituents and feline pancreatic lipase immunoreactivity

Krasztel

Czopowicz

Szaluś‐Jordanow

et al. 2022

Veterinary Internal Medicne

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Background Feline pancreatic lipase immunoreactivity (fPLI) is commonly used to diagnose pancreatitis in cats (FP). Untargeted metabolomics has been extensively applied in human and veterinary medicine, but no metabolomic studies regarding FP have been conducted. Objectives To identify metabolites significantly associated with increased fPLI. Animals Forty‐nine client‐owned cats: 11 clinically healthy and 38 with various clinical conditions. Methods Analytical cross‐sectional study with convenience sampling. A panel of 630 metabolites belonging to 26 biochemical classes was quantified in plasma using a commercial metabolomic assay. The correlation between plasma metabolite concentrations and serum fPLI was evaluated using Spearman's rank correlation coefficient (Rs) with Bonferroni correction. Multivariable analysis then was performed to control for glomerular filtration rate, liver damage, and blood glucose concentration. The accuracy of selected metabolites in discriminating between cats with normal (≤3.5 μg/L) and increased (>5.3 μg/L) fPLI was estimated using the area under the receiver operating characteristic curve (AUROC). Results Four hundred and seven of 630 metabolites (64.6%) were quantified in all cats. When controlled for potential confounders only 3 sphingolipids were significantly positively correlated with fPLI: 2 cerebrosides: HexCer(d18:1/24:0); (Rs = .56), and HexCer(d18:1/24:1); (Rs = .58) and 1 sphingomyelin: SM C18:0 (Rs = .55). Their AUROCs in identifying cats with increased fPLI were 82% (95% confidence interval [CI 95%], 70%‐94%), 84% (CI 95%, 72%‐96%), and 78% (CI 95%, 65%‐92%), respectively. Conclusions and Clinical Importance Selected sphingolipids are moderately positively correlated with fPLI and appear to have fair to moderate diagnostic accuracy in discriminating between cats with normal and increased fPLI.

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Adipokines as potential biomarkers for type 2 diabetes mellitus in cats

Sierawska

Niedźwiedzka-Rystwej²

2022

Front. Immunol.

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Type 2 diabetes mellitus (T2DM) is no longer only a disease of humans, but also of domestic animals, and it particularly affects cats. It is increasingly thought that because of its unique characteristics, T2DM may belong not only to the group of metabolic diseases but also to the group of autoimmune diseases. This is due to the involvement of the immune system in the inflammation that occurs with T2DM. Various pro- and anti-inflammatory substances are secreted, especially cytokines in patients with T2DM. Cytokines secreted by adipose tissue are called adipokines, and leptin, adiponectin, resistin, omentin, TNF-α, and IL-6 have been implicated in T2DM. In cats, approximately 90% of diabetic cases are T2DM. Risk factors include older age, male sex, Burmese breed, presence of obesity, and insulin resistance. Diagnosis of a cat requires repeated testing and is complicated compared to human diagnosis. Based on similarities in the pathogenesis of T2DM between humans and cats, adipokines previously proposed as biomarkers for human T2DM may also serve in the diagnosis of this disease in cats.

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Differences in metabolic profiles between the Burmese, the Maine coon and the Birman cat—Three breeds with varying risk for diabetes mellitus

Cited by 4 publications

References 71 publications

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

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

Correlation between metabolomic profile constituents and feline pancreatic lipase immunoreactivity

Adipokines as potential biomarkers for type 2 diabetes mellitus in cats

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