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1.
Physiol Genomics ; 52(8): 347-357, 2020 08 01.
Article in English | MEDLINE | ID: mdl-32628084

ABSTRACT

Hyperketonemia (HYK) is a metabolic disorder that affects early postpartum dairy cows; however, there has been limited success in identifying genomic variants contributing to HYK susceptibility. We conducted a genome-wide association study (GWAS) using HYK phenotypes based on an intensive screening protocol, interrogated genotype interactions with parity group (GWIS), and evaluated the enrichment of annotated metabolic pathways. Holstein cows were enrolled into the experiment after parturition, and blood samples were collected at four timepoints between 5 and 18 days postpartum. Concentration of blood ß-hydroxybutyrate (BHB) was quantified cow-side via a handheld BHB meter. Cows were labeled as a HYK case when at least one blood sample had BHB ≥ 1.2 mmol/L, and all other cows were considered non-HYK controls. After quality control procedures, 1,710 cows and 58,699 genotypes were available for further analysis. The GWAS and GWIS were performed using the forward feature select linear mixed model method. There was evidence for an association between ARS-BFGL-NGS-91238 and HYK susceptibility, as well as parity-dependent associations to HYK for BovineHD0600024247 and BovineHD1400023753. Candidate genes annotated to these single nuclear polymorphism associations have been previously associated with obesity, diabetes, insulin resistance, and fatty liver in humans and rodent models. Enrichment analysis revealed focal adhesion and axon guidance as metabolic pathways contributing to HYK etiology, while genetic variation in pathways related to insulin secretion and sensitivity may affect HYK susceptibility in a parity-dependent matter. In conclusion, the present work proposes several novel marker associations and metabolic pathways contributing to genetic risk for HYK susceptibility.


Subject(s)
3-Hydroxybutyric Acid/blood , Cattle Diseases/genetics , Genes , Ketosis/genetics , Ketosis/veterinary , Polymorphism, Single Nucleotide , Animals , Cattle , Cattle Diseases/blood , Female , Genetic Predisposition to Disease , Genome-Wide Association Study , Genotype , Ketosis/blood , Lactation/blood , Lactation/genetics , Linear Models , Metabolic Networks and Pathways/genetics , Parity/genetics , Phenotype , Postpartum Period , Pregnancy
2.
J Vet Intern Med ; 33(2): 942-952, 2019 Mar.
Article in English | MEDLINE | ID: mdl-30666754

ABSTRACT

BACKGROUND: Ponies are highly susceptible to metabolic derangements including hyperinsulinemia, insulin resistance, and adiposity. HYPOTHESIS/OBJECTIVES: Genetic loci affecting height in ponies have pleiotropic effects on metabolic pathways and increase the susceptibility to equine metabolic syndrome (EMS). ANIMALS: Two hundred ninety-four Welsh ponies and 529 horses. METHODS: Retrospective study of horses phenotyped for metabolic traits. Correlations between height and metabolic traits were assessed by Pearson's correlation coefficients. Complementary genome-wide analysis methods were used to identify a region of interest (ROI) for height and metabolic traits, determine the fraction of heritability contributed by the ROI, and identify candidate genes. RESULTS: There was an inverse relationship between height and baseline insulin (-0.26) in ponies. Genomic signature of selection and association analyses for both height and insulin identified the same ~1.3 megabase region on chromosome 6 that contained a shared ancestral haplotype between these traits. The ROI contributed ~40% of the heritability for height and ~20% of the heritability for insulin. High-mobility group AT-hook 2 was identified as a candidate gene, and Sanger sequencing detected a c.83G>A (p.G28E) variant associated with height in Shetland ponies. In our cohort of ponies, the A allele had a frequency of 0.76, was strongly correlated with height (-0.75), and was low to moderately correlated with metabolic traits including: insulin (0.32), insulin after an oral sugar test (0.25), non-esterified fatty acids (0.19), and triglyceride (0.22) concentrations. CONCLUSIONS AND CLINICAL IMPORTANCE: These data have important implications for identifying individuals at risk for EMS.


Subject(s)
Horse Diseases/genetics , Horses/anatomy & histology , Metabolic Syndrome/veterinary , Animals , Biometry , Fatty Acids, Nonesterified/blood , Female , Glucose Tolerance Test/veterinary , Horse Diseases/metabolism , Horses/genetics , Insulin/blood , Insulin Resistance/genetics , Male , Metabolic Syndrome/genetics , Phenotype , Retrospective Studies , Species Specificity , Triglycerides/blood
3.
J Vet Intern Med ; 32(3): 1215-1233, 2018 May.
Article in English | MEDLINE | ID: mdl-29572947

ABSTRACT

BACKGROUND: Metabolomics, the study of small-molecule metabolites, has increased understanding of human metabolic diseases, but has not been used to study equine metabolic syndrome (EMS). OBJECTIVES: (1) To examine the serum metabolome of Welsh Ponies with and without insulin dysregulation before and during an oral sugar test (OST). (2) To identify differences in metabolites in ponies with insulin dysregulation, obesity, or history of laminitis. ANIMALS: Twenty Welsh Ponies (mean ± SD; 13.8 ± 9.0 years) classified as non-insulin dysregulated [CON] (n = 10, insulin < 30 mU/L) or insulin dysregulated [ID] (n = 10, insulin > 60 mU/L) at 75 minutes after administration of Karo syrup, obese (n = 6) or nonobese (n = 14), and history of laminitis (n = 9) or no history of laminitis (n = 11). METHODS: Case-control study. Metabolomic analysis was performed on serum obtained at 0 minutes (baseline) and 75 minutes during the OST. Data were analyzed with multivariable mixed linear models with significance set at P ≤ .05. RESULTS: Metabolomic analysis of 646 metabolites (506 known) detected significant metabolite differences. At baseline, 55 metabolites (insulin response), 91 metabolites (obesity status), and 136 metabolites (laminitis history) were different. At 75 minutes, 51 metabolites (insulin response), 102 metabolites (obesity status), and 124 metabolites (laminitis history) were different. CONCLUSIONS AND CLINICAL IMPORTANCE: Use of metabolomics could have diagnostic utility for early detection of EMS and provide new knowledge regarding the pathophysiology of metabolic perturbations associated with this condition that might lead to improved clinical management.


Subject(s)
Foot Diseases/veterinary , Horse Diseases/metabolism , Insulin/metabolism , Metabolic Syndrome/veterinary , Obesity/veterinary , Animals , Blood Glucose/analysis , Female , Foot Diseases/metabolism , Glucose Tolerance Test/veterinary , Hoof and Claw , Horses , Insulin/blood , Male , Metabolic Syndrome/metabolism , Metabolomics , Obesity/metabolism
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