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Proteomic Biomarkers of Intraocular Infection

眼内感染的蛋白质组生物标志物

基本信息

批准号：
10248543
负责人：
ALEXANDER G BASSUK
金额：
$ 39.77万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-30 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10248543
关键词：
Antibodies Autoimmune Bacteria Biological Markers Biopsy Biopsy Specimen Biotin Blindness Characteristics Computer software Custom Data Devices Diagnosis Diagnostic Diagnostic tests Disease ERM protein Endophthalmitis Enzyme-Linked Immunosorbent Assay Etiology Eye diseases Foundations Glass Goals Human Immune response Immunologics Infection Inflammation LCN2 gene LCP1 gene Laboratory culture Lead Liquid substance MMP8 gene MMP9 gene Mass Spectrum Analysis Measures Molecular Molecular Diagnostic Testing Molecular Profiling Morbidity - disease rate Online Systems Operating Rooms Parasites Patients Phenotype Precision Health Proteins Proteome Proteomics Public Health Rapid diagnostics Research Retina S100A8 gene Sampling Specimen Testing Tissues Uveitis Validation Viral Virus Vision Visual aqueous autoinflammatory bacterial endophthalmitis base biobank candidate identification candidate marker candidate validation clinical development clinical examination eye preservation falls fungus lens liquid biopsy microbial novel personalized diagnostics point of care prevent prospective protein biomarkers relational database research clinical testing specific biomarkers tool

项目摘要

Project Summary Intraocular infections due to bacteria, viruses, fungi, and parasites (infectious endophthalmitis) are among the most common and visually devasting causes of blindness. Endophthalmitis has high morbidity because the retina is intolerant of immunologic insult. Since initial clinical examination cannot determine the cause of intraocular inflammation (uveitis), doctors must wait for laboratory culture to identify a microbial agent. But waiting days to weeks for cultures to grow delays diagnosis and treatment, frequently results in debilitating visual morbidity and blindness. The proteome of adjacent vitreous can be characterized to uncover biomarkers for specific etiologies of uveitis. Since different causes of intraocular infection elicit different immune responses, we hypothesize that proteomic profile of the inflamed vitreous may reflect key molecular changes and guide diagnosis of intraocular infections. Our group has used large-scale proteomic platforms to analyze the protein signature in liquid vitreous biopsies from endophthalmitis patients. This approach allowed us to identify several candidate protein biomarkers that differentiate infectious from non-infectious uveitis and specific infectious types of endophthalmitis, including bacterial, viral, and fungal endophthalmitis. Our long-term goal is to find better and more specific molecular treatments for vitreoretinal disease. Our objective in this proposal is to use targeted proteomic platforms to validate sensitive and specific biomarkers that reliably differentiate different types of intraocular infection (e.g. bacterial, viral, and fungal). Our central hypothesis is that vitreous protein signatures can differentiate between non-infectious and infectious uveitis and the class of infection more-rapidly than conventional clinical testing. Our studies will test the hypothesis through two specific aims: (1) Validate proteomic biomarkers that differentiate infectious from non-infectious uveitis and (2) biomarkers that differentiate different classes of intraocular infection (e.g. bacterial, viral, and fungal). Impact. We expect that successful completion of these aims will validate sensitive and specific endophthalmitis biomarkers and lay the foundation for the development of clinical diagnostic tests for intraocular infection.

项目总结