Year: 2012
Type: article
Abstract: Sjögren's syndrome (SS) is a chronic autoimmune disorder clinically characterized by dry mouth and eyes. The pathogenic mechanism of SS is inadequately understood and a long delay from the start of the symptoms to final diagnosis has been frequently observed. In this paper, we aim to provide an overview about using omics technologies to discover biomarkers for SS diagnosis and understand potential pathways underlying SS pathogenesis. Omics databases relevant to SS such as Sjögren’s Syndrome Knowledge Base, Saliva Ontology and SDxMart are also discussed.
Source: Journal of Integrated OMICS
Authors: Jiye Ai, Sizhe Feng, Kaori Misuno, Shen Hu
Institution: University of California, Los Angeles
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3154399310