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Grants > In Vivo Molecular Imaging of Neovascular AMD Updated On: Jan. 23, 2025
Macular Degeneration Research Grant

In Vivo Molecular Imaging of Neovascular AMD

Ashwath Jayagopal, PhD

Principal Investigator

Ashwath Jayagopal, PhD

Vanderbilt University Medical Center

Nashville, TN, USA

About the Research Project

Program

Macular Degeneration Research

Award Type

Standard

Award Amount

$100,000

Active Dates

July 01, 2012 - June 30, 2014

Grant ID

M2012067

Goals

Dr. Ashwath Jayagopal and colleagues are focusing on developing nanoscale imaging agents capable of detecting AMD biomarkers of early choroidal neovascularization (the damaging invasion of blood vessels into the retina). With this imaging technique, clinicians would be able to better treat AMD patients through enhanced early detection, staging of disease, and monitoring of therapeutic response. Furthermore, this strategy could enable detailed imaging and target discovery in AMD preclinical and clinical studies.

Summary

The goal of this proposal is to demonstrate the usefulness of a nanotechnology-based approach for imaging critical biomarkers of early wet AMD.

In this approach, Dr. Ashwath Jayagopal and colleagues are using gold nanoparticles engineered to concurrently detect a number of AMD biomarkers. Once the nanoparticles detect their target, they emit a fluorescent light that can then be detected in the eye by a camera. The team is testing whether this technique can detect biomarkers of wet AMD with high sensitivity, specificity, and safety in animals with wet AMD. Such a technology could enable improved detail in an eye doctor’s examination because it would provide a means for studying each individual patient’s biomarker signatures for customized diagnosis and treatment.

This technique could introduce a new clinical approach for enhancing diagnostic capabilities in the management of AMD. Clinicians may be able to detect wet AMD at a point that enables therapies to be administered to the patient in a more timely fashion, better-preserving vision. Furthermore, the approach could be used to monitor disease progression and determine whether a course of therapy is effective in treating the patient.