多中心研究探索健康眼微生物组生态位。
Exploring the Healthy Eye Microbiota Niche in a Multicenter Study.
机构信息
Department of Doctoral Studies, Riga Stradins University, LV-1007 Riga, Latvia.
Eyemetagenomics Ltd., 71-75, Shelton Street, Covent Garden, London WC2H 9JQ, UK.
出版信息
Int J Mol Sci. 2022 Sep 6;23(18):10229. doi: 10.3390/ijms231810229.
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 , whereas only in a few of them, other genera such as and 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.
目的
本研究旨在探索和描述健康眼部微生物群。
方法
本描述性横断面研究选取了年龄大于 18 岁的健康受试者。使用带有 1 mL 液体 Amies 培养基（意大利科潘 Brescia）的 eSwab 采集样本。在提取 DNA 后，进行文库制备和扩增，对 PCR 产物进行纯化和末端修复，以便进行条形码连接。将文库混合到最终浓度为 26 pM。根据 Ion 510、Ion 520 和 Ion 530 Kit-Chef 方案，使用 Ion Chef 进行模板制备。使用 Ion Torrent S5 系统（美国马萨诸塞州沃尔瑟姆市 Thermo Fisher）对扩增文库进行 520 或 530 芯片测序。使用 GAIA（v 2.02）分析原始读数。
结果
健康眼部微生物群是一种低多样性的微生物组。在分析的 137 个样本中，绝大多数高度富集了 ，而只有少数样本中其他属如 和 占优势。我们发现平均有 88 个属，平均 Shannon 指数为 0.65。
结论
我们确定了 9 种不同的 ECST。更好地了解健康眼部微生物群有可能改善疾病诊断和促进健康的个体化方案。
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