Signaling lipids as diagnostic biomarkers for ocular surface cicatrizing conjunctivitis

J Mol Med (Berl). 2020 May;98(5):751-760. doi: 10.1007/s00109-020-01907-w. Epub 2020 Apr 20.

Abstract

Metabolomics has been applied to diagnose diseases, predict disease progression, and design therapeutic strategies in various areas of medicine. However, it remains to be applied to the ocular surface diseases, where biological samples are often of limited quantities. We successfully performed proof-of-concept metabolomics assessment of volume-limited cytology samples from a clinical form of chronic inflammatory cicatrizing conjunctivitis, i.e., ocular MMP and discovered metabolic changes of signaling lipid mediators upon disease onset and progression. The metabolomics assessment revealed active oxylipins, lysophospholipids, fatty acids, and endocannabinoids alterations, from which potential biomarkers linked to inflammatory processes were identified. Possible underlying mechanisms such as dysregulated enzyme activities (e.g., lipoxygenases, cytochrome P450, and phospholipases) were suggested which may be considered as potential therapeutic targets in future studies. KEY MESSAGES: Metabolic profile of the ocular surface can be measured using impression cytology samples. Metabolomics analysis of ocular pemphigoid is presented for the first time. The metabolomics assessment of OCP patients revealed active oxylipins, lysophospholipids, fatty acids, and endocannabinoids alterations. Several oxylipins are identified as diagnostic biomarkers for OCP.

Keywords: Cicatrizing conjunctivitis; LC-MS/MS; Metabolomics; Mucous membrane pemphigoid; Signaling lipid mediators.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers*
  • Biopsy
  • Case-Control Studies
  • Cicatrix / pathology*
  • Conjunctivitis / diagnosis
  • Conjunctivitis / etiology*
  • Conjunctivitis / metabolism*
  • Female
  • Fluorescent Antibody Technique
  • Humans
  • Lipid Metabolism*
  • Lipids / blood*
  • Male
  • Metabolome
  • Metabolomics / methods
  • Middle Aged
  • Severity of Illness Index
  • Signal Transduction*

Substances

  • Biomarkers
  • Lipids