Abstract:
:Retinal diseases generally are vision-threatening conditions that warrant appropriate clinical decision-making which currently solely dependents upon extensive clinical screening by specialized ophthalmologists. In the era where molecular assessment has improved dramatically, we aimed at the identification of biomarkers in 175 ocular fluids to classify four archetypical ocular conditions affecting the retina (age-related macular degeneration, idiopathic non-infectious uveitis, primary vitreoretinal lymphoma, and rhegmatogenous retinal detachment) with one single test. Unsupervised clustering of ocular proteins revealed a classification strikingly similar to the clinical phenotypes of each disease group studied. We developed and independently validated a parsimonious model based merely on three proteins; interleukin (IL)-10, IL-21, and angiotensin converting enzyme (ACE) that could correctly classify patients with an overall accuracy, sensitivity and specificity of respectively, 86.7%, 79.4% and 92.5%. Here, we provide proof-of-concept for molecular profiling as a diagnostic aid for ophthalmologists in the care for patients with retinal conditions.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Kuiper JJ,Beretta L,Nierkens S,van Leeuwen R,Ten Dam-van Loon NH,Ossewaarde-van Norel J,Bartels MC,de Groot-Mijnes JD,Schellekens P,de Boer JH,Radstake TRdoi
10.1038/srep41595subject
Has Abstractpub_date
2017-01-27 00:00:00pages
41595issn
2045-2322pii
srep41595journal_volume
7pub_type
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