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Metagenomics in ophthalmology: Hypothesis or real prospective?
•A deep knowledge of ocular microbiome could be the key to manage eye disorders.•Culture-based techniques and molecular analysis often lead to incomplete or biased results.•Genomics and bioinformatics are novel fields in ophthalmology, with great potential.•With NGS, it will be possible to identify...
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Published in: | Biotechnology reports (Amsterdam, Netherlands) Netherlands), 2019-09, Vol.23, p.e00355-e00355, Article e00355 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A deep knowledge of ocular microbiome could be the key to manage eye disorders.•Culture-based techniques and molecular analysis often lead to incomplete or biased results.•Genomics and bioinformatics are novel fields in ophthalmology, with great potential.•With NGS, it will be possible to identify microbes. But, many challenges still remain.
Metagenomic analysis was originally associated with the studies of genetic material from environmental samples. But, with the advent of the Human Microbiome Project, it has now been applied in clinical practices. The ocular surface (OS) is the most exposed part of the eye, colonized by several microbial communities (both, OS and environmental) that contribute to the maintenance of the physiological state. Limited knowledge has been acquired on these microbes due to the limitations of conventional diagnostic methods. Emerging fields of research are focusing on Next Generation Sequencing (NGS) technologies to obtain reliable information on the OS microbiome. Currently only pre-specified pathogens can be detected by conventional culture-based techniques or Polymerase Chain Reaction (PCR), but there are conditions to state whether metagenomics could revolutionize the diagnosis of ocular diseases. The aim of this review is to provide an updated overview of the studies involving NGS technology for OS microbiome. |
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ISSN: | 2215-017X 2215-017X |
DOI: | 10.1016/j.btre.2019.e00355 |