Serum nitrotyrosine concentration in dogs with myxomatous mitral valve disease

Jun Seok Kim, Jun Seok Park, Hyung Jin Park, Kyoung Won Seo, Kun Ho Song

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The aim of this study was to compare serum nitrotyrosine concentrations in healthy dogs with those in dogs with myxomatous mitral valve disease (MMVD). Fifty client-owned dogs were included in this study. Based on echocardiographic results, dogs were categorized into healthy (control), mild-, moderate-, and severe-MMVD groups. Serum nitrotyrosine concentrations were determined from enzyme-linked immunosorbent assays. No significant difference between control dogs and dogs with mild MMVD was detected (p = 0.31). However, dogs with moderate MMVD had significantly higher serum concentrations of nitrotyrosine (p = 0.04) than that in controls, and dogs with severe MMVD had significantly lower serum concentrations of nitrotyrosine (p = 0.03) than that in moderate MMVD dogs. There were negative correlations in the association of serum nitrotyrosine with age (n = 30, R2= 0.067, p = 0.27), left atrial-to-aortic root diameter ratio (n = 30, R2= 0.02, p = 0.57), and platelet count (n = 30, R2= 0.39, p = 0.003); however, only the platelet correlation was significant. Among dogs with MMVD, there was no significant difference in serum nitrotyrosine concentration between males and females. The results of this study suggest that tyrosine nitration end-products might be potential biomarkers for the detection of MMVD in dogs.

Original languageEnglish (US)
Pages (from-to)17-21
Number of pages5
JournalKorean Journal of Veterinary Research
Volume57
Issue number1
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

Keywords

  • Biomarker
  • Canine disease
  • Peroxynitrous acid
  • Serum nitrotyrosine

ASJC Scopus subject areas

  • veterinary(all)

Fingerprint Dive into the research topics of 'Serum nitrotyrosine concentration in dogs with myxomatous mitral valve disease'. Together they form a unique fingerprint.

Cite this