Abstract
Many ophthalmic disease biomarkers have been identified through comprehensive multiomics profiling, and hold significant potential in advancing the diagnosis, prognosis, and management of diseases. Meanwhile, the eye itself serves as a natural biomarker for several systemic diseases including neurological, renal, and cardiovascular systems. We aimed to collect and standardize this eye biomarkers information and construct the eye biomarker database (EBD) to provide ophthalmologists with a platform to search, analyze, and download these eye biomarker data. In this study, we present the EBD <http://www.eyeseeworld.com/ebd/index.html>, a world-first online compilation comprising 889 biomarkers for 26 ocular diseases and 939 eye biomarkers for 181 systemic diseases. The EBD also includes the information of 78 “nonbiomarkers”—the objects that have been proven cannot be biomarkers. Biological function and network analysis were conducted for these ocular disease biomarkers, and several hub pathways and common network topology characteristics were newly identified, which may promote future ocular disease biomarker discovery and characterizes the landscape of biomarkers for eye diseases at the pathway and network level. The EBD is expected to yield broader utility among developmental biologists and clinical scientists in and outside of the eye field by assisting in the identification of biomarkers linked to eye disorders and related systemic diseases.EBD is available at http://www.eyeseeworld.com/ebd/index.html.
Xueli Zhang
PhD of Bioinformatics, Assistant Professor
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.
Lingcong Kong
MSc in Biomedical Engineering
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.
Shunming Liu
MSc in Technical Economy and Management
I’m drawn to the study of wearable devices and possess expertise in machine learning and big data analysis. My goal is to seamlessly blend technology and medicine to develop enhanced and precise medical solutions.
Shuo Ma
M.M. in Epidemiology and Health Statistics
My expertise lies in the fields of epidemiology and bioinformatics. With skills in multi-modal data processing and AI algorithms, I utilize these proficiencies to effectively tackle challenges within clinical and public health domains.
Xiaohe Bai
Undergraduate Student in Mathematics
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.
Ke Zhao
PostDoc
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.