Diagnostic and Prognostic Metabolites Identified for Joint Symptoms in the KORA Population

J Proteome Res. 2016 Feb 5;15(2):554-62. doi: 10.1021/acs.jproteome.5b00951. Epub 2016 Jan 7.

Abstract

This study aims at identifying metabolites that significantly associate with self-reported joint symptoms (diagnostic) and metabolites that can predict the change from a symptom-free status to the development of self-reported joint symptoms after a 7 years period (prognostic). More than 300 metabolites were analyzed for 2246 subjects from the longitudinal study of the KORA (Cooperative Health Research in the Region of Augsburg, Germany), specifically the fourth survey S4 and its 7-year follow-up study F4. Two types of self-reported symptoms, chronic joint inflammation and worn out joints, were used for the analyses. Diagnostic analysis identified dysregulated metabolites in cases with symptoms compared with controls. Prognostic analysis identified metabolites that differentiate subjects in S4 who remained symptom-free after 7 years (F4) from those who developed any combination of symptoms. 48 metabolites were identified as nominally significantly (p < 0.05) associated with the self-reported symptoms in the diagnostic analysis, among which steroids show Bonferroni significance. 45 metabolites were identified as nominally significantly associated with developing symptoms after 7 years, among which hippurate showed Bonferroni significance. We show that metabolic profiles of self-reported joint symptoms are in line with metabolites known to associate with various forms of arthritis and suggest that future studies may benefit from that by investigating the possible use of self-reporting/questionnaire along with metabolic markers for the early referral of patients for further diagnostic workup and treatment of arthritis.

Keywords: arthritis; diagnosis; joint inflammation; metabolomics; prognosis; rheumatoid arthritis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers / metabolism
  • Chromatography, High Pressure Liquid
  • Female
  • Follow-Up Studies
  • Gas Chromatography-Mass Spectrometry
  • Germany / epidemiology
  • Humans
  • Joint Diseases / diagnosis*
  • Joint Diseases / epidemiology
  • Joint Diseases / metabolism*
  • Male
  • Metabolome*
  • Metabolomics / methods*
  • Middle Aged
  • Prognosis
  • Regression Analysis
  • Surveys and Questionnaires
  • Tandem Mass Spectrometry
  • Time Factors

Substances

  • Biomarkers