دورية أكاديمية
أعرض في EDS

Use of principle component analysis to quantitatively score the equine metabolic syndrome phenotype in an Arabian horse population.

التفاصيل البيبلوغرافية
العنوان: Use of principle component analysis to quantitatively score the equine metabolic syndrome phenotype in an Arabian horse population.
المؤلفون: Lewis SL; Department of Animal Sciences, University of Florida, Gainesville, FL, United States of America., Holl HM; Department of Animal Sciences, University of Florida, Gainesville, FL, United States of America., Long MT; Department of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America., Mallicote MF; Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America., Brooks SA; Department of Animal Sciences, University of Florida, Gainesville, FL, United States of America.
المصدر: PloS one [PLoS One] 2018 Jul 12; Vol. 13 (7), pp. e0200583. Date of Electronic Publication: 2018 Jul 12 (Print Publication: 2018).
نوع المنشور: Clinical Trial, Veterinary; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Body Weight* , Phenotype*, Horse Diseases/*blood , Metabolic Syndrome/*blood , Metabolic Syndrome/*veterinary, Animals ; Blood Glucose/metabolism ; Female ; Horses ; Insulin/blood ; Leptin/blood ; Lipids/blood ; Male ; Metabolic Syndrome/pathology
مستخلص: Equine metabolic syndrome (EMS), like human metabolic syndrome, comprises a collection of clinical signs related to obesity, insulin dysregulation and susceptibility to secondary inflammatory disease. Although the secondary conditions resulting from EMS can be life-threatening, diagnosis is not straightforward and often complicated by the presence of other concurrent conditions like pituitary pars intermedia dysfunction (PPID). In order to better characterize EMS, we sought to describe the variation within, and correlations between, typical physical and endocrine parameters for EMS. Utilizing an unsupervised statistical approach, we evaluated a population of Arabian horses using a physical examination including body measurements, as well as blood plasma insulin, leptin, ACTH, glucose, and lipid values. We investigated the relationships among these variables using principle component analysis (PCA), hierarchical clustering, and linear regression. Owner-assigned assessments of body condition were one full score (on a nine-point scale) lower than scores assigned by researchers, indicating differing perception of healthy equine body weight. Rotated PCA defined two factor scores explaining a total of 46.3% of variation within the dataset. Hierarchical clustering using these two factors revealed three groups corresponding well to traditional diagnostic categories of "Healthy", "PPID-suspect", and "EMS-suspect" based on the characteristics of each group. Proxies estimating up to 93.4% of the composite "EMS-suspect" and "PPID-suspect" scores were created using a reduced set of commonly used diagnostic variables, to facilitate application of these quantitative scores to horses of the Arabian breed in the field. Use of breed-specific, comprehensive physical and endocrinological variables combined in a single quantitative score may improve detection of horses at-risk for developing EMS, particularly in those lacking severe clinical signs. Quantification of EMS without the use of predetermined reference ranges provides an advantageous approach for future studies utilizing genomic or metabolomics approaches to improve understanding of the etiology behind this troubling condition.
Competing Interests: The authors have declared that no competing interests exist.
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معلومات مُعتمدة: U24 DK097209 United States DK NIDDK NIH HHS
المشرفين على المادة: 0 (Blood Glucose)
0 (Insulin)
0 (Leptin)
0 (Lipids)
تواريخ الأحداث: Date Created: 20180713 Date Completed: 20190108 Latest Revision: 20230820
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC6042766
DOI: 10.1371/journal.pone.0200583
PMID: 30001422
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0200583