Tear metabolomics in dry eye disease: A review
Yazdani, Mazyar; Elgstøen, Katja B. Prestø; Rootwelt, Helge; Shahdafar, Aboulghassem; Utheim, Øygunn Aass; Utheim, Tor Paaske
Journal article, Peer reviewed
Published version

View/ Open
Date
2019-08-01Metadata
Show full item recordCollections
Original version
Yazdani M, Elgstøen KBP, Rootwelt H, Shahdafar A, Utheim ØA, Utheim TP. Tear metabolomics in dry eye disease: A review. International Journal of Molecular Sciences. 2019;20:3755(15):1-18 http://dx.doi.org/10.3390/ijms20153755Abstract
Dry eye disease (DED) is a multifactorial syndrome that can be caused by alteration in the quality or quantity of the precorneal tear film. It is considered one of the most common ocular conditions leading patients to seek eye care. The current method for diagnostic evaluations and follow-up examinations of DED is a combination of clinical signs and symptoms determined by clinical tests and questionnaires, respectively. The application of powerful omics technologies has opened new avenues toward analysis of subjects in health and disease. Metabolomics is a new emerging and complementary research discipline to all modern omics in the comprehensive analysis of biological systems. The identification of distinct metabolites and integrated metabolic profiles in patients can potentially inform clinicians at an early stage or during monitoring of disease progression, enhancing diagnosis, prognosis, and the choice of therapy. In ophthalmology, metabolomics has gained considerable attention over the past decade but very limited such studies have been reported on DED. This paper aims to review the application of tear metabolomics in DED.
Publisher
MDPISeries
International Journal of Molecular Sciences;Volume 20, Issue 15Journal
International Journal of Molecular Sciences
Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).