Urinary metabolomic profiling to identify potential biomarkers for the diagnosis of behcet’s disease by gas chromatography/time-of-flight- mass spectrometry

Joong Kyong Ahn, Jungyeon Kim, Jiwon Hwang, Juhwan Song, Kyoung Heon Kim, Hoon Suk Cha

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19 Citations (Scopus)


Diagnosing Behcet’s disease (BD) is challenging because of the lack of a diagnostic biomarker. The purposes of this study were to investigate distinctive metabolic changes in urine samples of BD patients and to identify urinary metabolic biomarkers for diagnosis of BD using gas chromatography/time-of-flighta-mass spectrometry (GC/TOF-MS). Metabolomic profiling of urine samples from 44 BD patients and 41 healthy controls (HC) were assessed using GC/TOF-MS, in conjunction with multivariate statistical analysis. A total of 110 urinary metabolites were identified. The urine metabolite profiles obtained from GC/TOF-MS analysis could distinguish BD patients from the HC group in the discovery set. The parameter values of the orthogonal partial least squared-discrimination analysis (OPLS-DA) model were R2X of 0.231, R2Y of 0.804, and Q2 of 0.598. A biomarker panel composed of guanine, pyrrole-2-carboxylate, 3-hydroxypyridine, mannose, L-citrulline, galactonate, isothreonate, sedoheptuloses, hypoxanthine, and gluconic acid lactone were selected and adequately validated as putative biomarkers of BD (sensitivity 96.7%, specificity 93.3%, area under the curve 0.974). OPLS-DA showed clear discrimination of BD and HC groups by a biomarker panel of ten metabolites in the independent set (accuracy 88%). We demonstrated characteristic urinary metabolic profiles and potential urinary metabolite biomarkers that have clinical value in the diagnosis of BD using GC/TOF-MS.

Original languageEnglish
Article number2309
JournalInternational journal of molecular sciences
Issue number11
Publication statusPublished - 2017 Nov 2

Bibliographical note

Funding Information:
Acknowledgments: This work was supported by the Advanced Biomass R & D Center of Korea (2011-0031353), the National Research Foundation of Korea funded by the Ministry of Education (NRF-2013R1A1A2059103), and a grant of the Korea Health Technology R & D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health & Welfare (HI14C2285), which are funded by the Korean government. Experiments were performed using the facilities of the Institute of Biomedical Science and Food Safety at the Korea University Food Safety Hall. The study sponsors did not have a role in the study design, collection, analysis and interpretation of data; in the writing of the manuscript; nor in the decision to submit the manuscript for publication.

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.


  • Behcet’s disease
  • Biomarker
  • Diagnosis
  • Gas chromatography-mass spectrometry
  • Metabolomics
  • Urine

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry


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