Cargando…
Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota
The ocular surface possesses its own bacterial microbiota. Once given a chance, opportunistic pathogens within ocular microbiota may lead to corneal infection like bacterial keratitis (BK). To reveal the possible factor that makes people vulnerable to BK from the perspective of ocular bacterial micr...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155582/ https://www.ncbi.nlm.nih.gov/pubmed/34055665 http://dx.doi.org/10.3389/fcimb.2021.645907 |
_version_ | 1783699237767217152 |
---|---|
author | Ren, Zhichao Liu, Qing Li, Wenfeng Wu, Xian Dong, Yanling Huang, Yusen |
author_facet | Ren, Zhichao Liu, Qing Li, Wenfeng Wu, Xian Dong, Yanling Huang, Yusen |
author_sort | Ren, Zhichao |
collection | PubMed |
description | The ocular surface possesses its own bacterial microbiota. Once given a chance, opportunistic pathogens within ocular microbiota may lead to corneal infection like bacterial keratitis (BK). To reveal the possible factor that makes people vulnerable to BK from the perspective of ocular bacterial microbiota, as well as to compare diagnostic information provided by high-throughput 16S rDNA sequencing and bacterial culture, 20 patients with BK and 42 healthy volunteers were included. Conjunctival swabs and corneal scrapings collected from the diseased eyes of BK patients were subjected for both high-throughput 16S rDNA sequencing and bacterial culture. Conjunctival swabs collected from the normal eyes of BK patients and healthy volunteers were sent only for sequencing. For identifying the pathogens causing BK, high-throughput 16S rDNA sequencing presented a higher positive rate than bacterial culture (98.04% vs. 17.50%), with 92.11% reaching the genus level (including 10.53% down to the species level). However, none of the sequencing results was consistent with the cultural results. The sequencing technique appears to challenge culture, and could be a complement for pathogen identification. Moreover, compared to the eyes of healthy subjects, the ocular microbiota of three sample groups from BK patients contained significantly less Actinobacteria and Corynebacteria (determinate beneficial symbiotic bacteria), but significantly more Gammaproteobacteria, Pseudomonas, Bacteroides, and Escherichia-Shigella (common ocular pathogenic bacteria). Therefore, it is speculated that the imbalance of protective and aggressive bacteria in the ocular microbiota of healthy people may trigger susceptibility to BK. Based on this speculation, it seems promising to prevent and treat infectious oculopathy through regulating ocular microbiota. |
format | Online Article Text |
id | pubmed-8155582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81555822021-05-28 Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota Ren, Zhichao Liu, Qing Li, Wenfeng Wu, Xian Dong, Yanling Huang, Yusen Front Cell Infect Microbiol Cellular and Infection Microbiology The ocular surface possesses its own bacterial microbiota. Once given a chance, opportunistic pathogens within ocular microbiota may lead to corneal infection like bacterial keratitis (BK). To reveal the possible factor that makes people vulnerable to BK from the perspective of ocular bacterial microbiota, as well as to compare diagnostic information provided by high-throughput 16S rDNA sequencing and bacterial culture, 20 patients with BK and 42 healthy volunteers were included. Conjunctival swabs and corneal scrapings collected from the diseased eyes of BK patients were subjected for both high-throughput 16S rDNA sequencing and bacterial culture. Conjunctival swabs collected from the normal eyes of BK patients and healthy volunteers were sent only for sequencing. For identifying the pathogens causing BK, high-throughput 16S rDNA sequencing presented a higher positive rate than bacterial culture (98.04% vs. 17.50%), with 92.11% reaching the genus level (including 10.53% down to the species level). However, none of the sequencing results was consistent with the cultural results. The sequencing technique appears to challenge culture, and could be a complement for pathogen identification. Moreover, compared to the eyes of healthy subjects, the ocular microbiota of three sample groups from BK patients contained significantly less Actinobacteria and Corynebacteria (determinate beneficial symbiotic bacteria), but significantly more Gammaproteobacteria, Pseudomonas, Bacteroides, and Escherichia-Shigella (common ocular pathogenic bacteria). Therefore, it is speculated that the imbalance of protective and aggressive bacteria in the ocular microbiota of healthy people may trigger susceptibility to BK. Based on this speculation, it seems promising to prevent and treat infectious oculopathy through regulating ocular microbiota. Frontiers Media S.A. 2021-05-13 /pmc/articles/PMC8155582/ /pubmed/34055665 http://dx.doi.org/10.3389/fcimb.2021.645907 Text en Copyright © 2021 Ren, Liu, Li, Wu, Dong and Huang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Ren, Zhichao Liu, Qing Li, Wenfeng Wu, Xian Dong, Yanling Huang, Yusen Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title | Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title_full | Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title_fullStr | Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title_full_unstemmed | Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title_short | Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota |
title_sort | profiling of diagnostic information of and latent susceptibility to bacterial keratitis from the perspective of ocular bacterial microbiota |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155582/ https://www.ncbi.nlm.nih.gov/pubmed/34055665 http://dx.doi.org/10.3389/fcimb.2021.645907 |
work_keys_str_mv | AT renzhichao profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota AT liuqing profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota AT liwenfeng profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota AT wuxian profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota AT dongyanling profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota AT huangyusen profilingofdiagnosticinformationofandlatentsusceptibilitytobacterialkeratitisfromtheperspectiveofocularbacterialmicrobiota |