2019
DOI: 10.4155/bio-2019-0044
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Development and Evaluation of an Ultrasensitive Free VEGF-A Immunoassay for Analysis of Human Aqueous Humor

Abstract: Aim: Novel bifunctional VEGF-A neutralizing therapies are being developed for the treatment of retinal vascular diseases such as age-related macular degeneration and diabetic retinopathy. In developing new therapeutic drugs, only small aqueous humor sample volumes are available for analyzing several parameters. Highly sensitive detection methods must be applied in analyzing VEGF-A levels in ocular fluids in order to demonstrate VEGF-A suppression following drug administration. Experimental: A highly sensitive … Show more

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Cited by 8 publications
(1 citation statement)
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“…For example, Göpfert and co-workers developed a DBA assay for measuring VEGF-A in aqueous humor from the eyes of human subjects. 151 They used the greater sensitivity of this digital assay to measure reductions in the concentration of VEGF in the ocular fluid caused by administration of a therapeutic antibody that targets this growth factor; conventional bead immunoassays were not able to detect these reductions. The sensitivity of homebrew DBA has also been used to measure proteins in other challenging samples where protein concentrations and sample volumes may be low, such as breath condensate, 152 sweat, 153 saliva, 154 and stool.…”
Section: Impact Of Digital Protein Detectionmentioning
confidence: 99%
“…For example, Göpfert and co-workers developed a DBA assay for measuring VEGF-A in aqueous humor from the eyes of human subjects. 151 They used the greater sensitivity of this digital assay to measure reductions in the concentration of VEGF in the ocular fluid caused by administration of a therapeutic antibody that targets this growth factor; conventional bead immunoassays were not able to detect these reductions. The sensitivity of homebrew DBA has also been used to measure proteins in other challenging samples where protein concentrations and sample volumes may be low, such as breath condensate, 152 sweat, 153 saliva, 154 and stool.…”
Section: Impact Of Digital Protein Detectionmentioning
confidence: 99%