کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5705701 | 1602808 | 2017 | 67 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Characterizing the “POAGome”: A bioinformatics-driven approach to primary open-angle glaucoma
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
سیستم های حسی
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چکیده انگلیسی
Primary open-angle glaucoma (POAG) is a genetically, physiologically, and phenotypically complex neurodegenerative disorder. This study addressed the expanding collection of genes associated with POAG, referred to as the “POAGome.” We used bioinformatics tools to perform an extensive, systematic literature search and compiled 542 genes with confirmed associations with POAG and its related phenotypes (normal tension glaucoma, ocular hypertension, juvenile open-angle glaucoma, and primary congenital glaucoma). The genes were classified according to their associated ocular tissues and phenotypes, and functional annotation and pathway analyses were subsequently performed. Our study reveals that no single molecular pathway can encompass the pathophysiology of POAG. The analyses suggested that inflammation and senescence may play pivotal roles in both the development and perpetuation of the retinal ganglion cell degeneration seen in POAG. The TGF-β signaling pathway was repeatedly implicated in our analyses, suggesting that it may be an important contributor to the manifestation of POAG in the anterior and posterior segments of the globe. We propose a molecular model of POAG revolving around TGF-β signaling, which incorporates the roles of inflammation and senescence in this disease. Finally, we highlight emerging molecular therapies that show promise for treating POAG.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Progress in Retinal and Eye Research - Volume 58, May 2017, Pages 89-114
Journal: Progress in Retinal and Eye Research - Volume 58, May 2017, Pages 89-114
نویسندگان
Ian D. Danford, Lana D. Verkuil, Daniel J. Choi, David W. Collins, Harini V. Gudiseva, Katherine E. Uyhazi, Marisa K. Lau, Levi N. Kanu, Gregory R. Grant, Venkata R.M. Chavali, Joan M. O'Brien,