Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease

Gabriel Velez; Peter H Tang; Thiago Cabral; Galaxy Y Cho; Daniel A Machlab; Stephen H Tsang; Alexander G Bassuk; Vinit B Mahajan

doi:10.1167/tvst.7.5.12

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Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease

Journal article

Open access

Peer reviewed

Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease

Gabriel Velez, Peter H Tang, Thiago Cabral, Galaxy Y Cho, Daniel A Machlab, Stephen H Tsang, Alexander G Bassuk and Vinit B Mahajan

Translational vision science & technology, Vol.7(5), pp.12-12

09/2018

DOI: 10.1167/tvst.7.5.12

PMCID: PMC6159735

PMID: 30271679

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Abstract

Proteomic analysis is an attractive and powerful tool for characterizing the molecular profiles of diseased tissues, such as the vitreous. The complexity of data available for analysis ranges from single (e.g., enzyme-linked immunosorbent assay [ELISA]) to thousands (e.g., mass spectrometry) of proteins, and unlike genomic analysis, which is limited to denoting risk, proteomic methods take snapshots of a diseased vitreous to evaluate ongoing molecular processes in real time. The proteome of diseased ocular tissues was recently characterized, uncovering numerous biomarkers for vitreoretinal diseases and identifying protein targets for approved drugs, allowing for drug repositioning. These biomarkers merit more attention regarding their therapeutic potential and prospective validation, as well as their value as reproducible, sensitive, and specific diagnostic markers. Personalized proteomics offers many advantages over alternative precision-health platforms for the diagnosis and treatment of vitreoretinal diseases, including identification of molecular constituents in the diseased tissue that can be targeted by available drugs.

vitreous

diagnostics

biomarker

drug repositioning

retina

personalized proteomics

Details

Title: Subtitle: Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
Creators: Gabriel Velez - Medical Scientist Training Program, University of Iowa, Iowa City, IA, USA
Peter H Tang - Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
Thiago Cabral - Department of Ophthalmology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
Galaxy Y Cho - Department of Ophthalmology, Columbia University, New York, NY, USA
Daniel A Machlab - Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA
Stephen H Tsang - Department of Pathology & Cell Biology, College of Physicians & Surgeons, Columbia University, New York, NY, USA
Alexander G Bassuk - Department of Pediatrics, University of Iowa, Iowa City, IA, USA
Vinit B Mahajan - Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
Resource Type: Journal article
Publication Details: Translational vision science & technology, Vol.7(5), pp.12-12
DOI: 10.1167/tvst.7.5.12
PMID: 30271679
PMCID: PMC6159735
NLM abbreviation: Transl Vis Sci Technol
ISSN: 2164-2591
eISSN: 2164-2591
Publisher: United States
Grant note: R01 EY025225 / NEI NIH HHS R01 EY018213 / NEI NIH HHS P30 CA013696 / NCI NIH HHS T32 GM007337 / NIGMS NIH HHS R01 EY024698 / NEI NIH HHS R01 EY026682 / NEI NIH HHS R01 EY024665 / NEI NIH HHS R21 AG050437 / NIA NIH HHS P30 EY019007 / NEI NIH HHS
Language: English
Date published: 09/2018
Academic Unit: Neurology; Stead Family Department of Pediatrics; Iowa Neuroscience Institute; Neurology (Pediatrics)
Record Identifier: 9984070530602771

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