Bibliographische Detailangaben
| Titel: |
Overview of Microorganisms: Bacterial Microbiome, Mycobiome, Virome Identified Using Next-Generation Sequencing, and Their Application to Ophthalmic Diseases. |
| Autoren: |
Asao, Kazunobu, Hashida, Noriyasu |
| Quelle: |
Microorganisms; Jun2025, Vol. 13 Issue 6, p1300, 31p |
| Schlagwörter: |
AQUEOUS humor, NUCLEOTIDE sequencing, COMMUNICABLE diseases, THERAPEUTICS, METAGENOMICS |
| Abstract: |
This review outlines technological advances in pathogen identification and describes the development and evolution of next-generation sequencers that can be applied to the ocular microbiome. Traditional methods such as culture and PCR have limitations in detecting the full spectrum of resident microorganisms, prompting a transition toward metagenomic analysis. As microbiome research expands across body systems, the comprehensive identification of ocular bacteria, fungi, and viruses has become possible. The commensal ocular microbiome may influence disease development through changes in the immune system and ocular environment. Next-generation sequencing enables detailed microbial profiling, aiding in disease diagnosis and treatment selection. Alterations in the microbiome may also induce metabolic changes, offering insights into novel treatment methods. This review outlines the evolution of next-generation sequencing technology, summarizes current knowledge of microorganisms found on the ocular surface and in intraocular fluid, and discusses future challenges and prospects. However, the large volume of microbiome data obtained must be interpreted with caution due to possible analytical biases. Furthermore, determining whether the microbiome is truly pathogenic requires comprehensive interpretation beyond the clinical findings and results of traditional identification methods. [ABSTRACT FROM AUTHOR] |
|
Copyright of Microorganisms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Datenbank: |
Biomedical Index |