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Exploring the Healthy Eye Microbiota Niche in a Multicenter Study
Purpose: This study aims to explore and characterize healthy eye microbiota. Methods: Healthy subjects older than 18 years were selected for this descriptive cross-sectional study. Samples were collected with an eSwab with 1 mL of Liquid Amies Medium (Copan Brescia, Italy). Following DNA extraction,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499403/ https://www.ncbi.nlm.nih.gov/pubmed/36142138 http://dx.doi.org/10.3390/ijms231810229 |
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author | Borroni, Davide Paytuví-Gallart, Andreu Sanseverino, Walter Gómez-Huertas, Carmen Bonci, Paola Romano, Vito Giannaccare, Giuseppe Rechichi, Miguel Meduri, Alessandro Oliverio, Giovanni William Rocha-de-Lossada, Carlos |
author_facet | Borroni, Davide Paytuví-Gallart, Andreu Sanseverino, Walter Gómez-Huertas, Carmen Bonci, Paola Romano, Vito Giannaccare, Giuseppe Rechichi, Miguel Meduri, Alessandro Oliverio, Giovanni William Rocha-de-Lossada, Carlos |
author_sort | Borroni, Davide |
collection | PubMed |
description | Purpose: This study aims to explore and characterize healthy eye microbiota. Methods: Healthy subjects older than 18 years were selected for this descriptive cross-sectional study. Samples were collected with an eSwab with 1 mL of Liquid Amies Medium (Copan Brescia, Italy). Following DNA extraction, libraries preparation, and amplification, PCR products were purified and end-repaired for barcode ligation. Libraries were pooled to a final concentration of 26 pM. Template preparation was performed with Ion Chef according to Ion 510, Ion 520, and Ion 530 Kit-Chef protocol. Sequencing of the amplicon libraries was carried out on a 520 or 530 chip using the Ion Torrent S5 system (Thermo Fisher; Waltham, MA, USA). Raw reads were analyzed with GAIA (v 2.02). Results: Healthy eye microbiota is a low-diversity microbiome. The vast majority of the 137 analyzed samples were highly enriched with Staphylococcus, whereas only in a few of them, other genera such as Bacillus, Pseudomonas, and Corynebacterium predominate. We found an average of 88 genera with an average Shannon index of 0.65. Conclusion: We identified nine different ECSTs. A better understanding of healthy eye microbiota has the potential to improve disease diagnosis and personalized regimens to promote health. |
format | Online Article Text |
id | pubmed-9499403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94994032022-09-23 Exploring the Healthy Eye Microbiota Niche in a Multicenter Study Borroni, Davide Paytuví-Gallart, Andreu Sanseverino, Walter Gómez-Huertas, Carmen Bonci, Paola Romano, Vito Giannaccare, Giuseppe Rechichi, Miguel Meduri, Alessandro Oliverio, Giovanni William Rocha-de-Lossada, Carlos Int J Mol Sci Article Purpose: This study aims to explore and characterize healthy eye microbiota. Methods: Healthy subjects older than 18 years were selected for this descriptive cross-sectional study. Samples were collected with an eSwab with 1 mL of Liquid Amies Medium (Copan Brescia, Italy). Following DNA extraction, libraries preparation, and amplification, PCR products were purified and end-repaired for barcode ligation. Libraries were pooled to a final concentration of 26 pM. Template preparation was performed with Ion Chef according to Ion 510, Ion 520, and Ion 530 Kit-Chef protocol. Sequencing of the amplicon libraries was carried out on a 520 or 530 chip using the Ion Torrent S5 system (Thermo Fisher; Waltham, MA, USA). Raw reads were analyzed with GAIA (v 2.02). Results: Healthy eye microbiota is a low-diversity microbiome. The vast majority of the 137 analyzed samples were highly enriched with Staphylococcus, whereas only in a few of them, other genera such as Bacillus, Pseudomonas, and Corynebacterium predominate. We found an average of 88 genera with an average Shannon index of 0.65. Conclusion: We identified nine different ECSTs. A better understanding of healthy eye microbiota has the potential to improve disease diagnosis and personalized regimens to promote health. MDPI 2022-09-06 /pmc/articles/PMC9499403/ /pubmed/36142138 http://dx.doi.org/10.3390/ijms231810229 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Borroni, Davide Paytuví-Gallart, Andreu Sanseverino, Walter Gómez-Huertas, Carmen Bonci, Paola Romano, Vito Giannaccare, Giuseppe Rechichi, Miguel Meduri, Alessandro Oliverio, Giovanni William Rocha-de-Lossada, Carlos Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title | Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title_full | Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title_fullStr | Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title_full_unstemmed | Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title_short | Exploring the Healthy Eye Microbiota Niche in a Multicenter Study |
title_sort | exploring the healthy eye microbiota niche in a multicenter study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499403/ https://www.ncbi.nlm.nih.gov/pubmed/36142138 http://dx.doi.org/10.3390/ijms231810229 |
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