Suggested Drugs for Human Strabismic Extraocular Muscle
Journal of Ophthalmic and Optometric Sciences,
Vol. 4 No. 3 (2020),
23 Tir 2020
,
Page 17-31
https://doi.org/10.22037/joos.v4i3.37815
Abstract
Background: Misalignment of the eyes is called strabismus that is one of the most common disorders in ophthalmology. This disorder must be rapidly diagnosed because late diagnosis increases the probability for surgery. Genetic and environmental risk factors are involved in the prevalence of strabismus. This study aimed to investigate differentially expressed genes in patients with the extraocular muscles (EOMs) and heathy individuals, and also elucidating suggestive drugs for the treatment of the disease.
Methods: The data were collected from Gene Expression Omnibus, comprising series of GSE38780. To detect hub genes with dysregulated expression, microarray data were used. Statistical methods extract differentially expressed genes and network analyses were used to detect potential biomarkers of EOMs. Then drugs were suggested based on potential biomarkers.
Results: 2009 DEGs were identified by help of adjusted P value and log fold change. DEGs were mapped on PPI data obtained from STRING database and PPI network was extracted after considering interactions. Centrality of nodes in network was calculated and 10 nodes with highest centrality as marker genes were identified. Ten potential biomarker including CYCS, NDUFV1, COX5A, NDUFB9, SDHA, NDUFS2, UQCR10, UQCR11, MDH2 and UQCRC1 were identified and Six candidate drugs based on them were suggested including NV-128, ME-344, Metformin Hydrochloride, Famoxadone, Albumin Human and Cisplatin.
Conclusion: This work was conducted to identify potential biomarker for strabismus and seeking the candidate drugs for it. The marker genes are the most important genes based on statistical and network analysis. By use of potential biomarkers, six drugs were suggested.
- strabismic human extraocular muscle
- Drug
- EOMs
- DEGs
- co-expression network
- Biomarker
How to Cite
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