Performance of metagenomic next-generation sequencing for microbiological diagnosis of infectious uveitis
Zhen Cai, Xian Zhang, Yaqin Song, Yan Jiang, Ling Jiang, Tao Li, Xufang Sun · 2024
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Description
Zhen Cai, Xian Zhang, Yaqin Song, and a wider team wrote this research paper, published in 2024. It tests a catch-all gene sequencing method for naming the germ behind infectious uveitis, an inflamed eye condition whose cause is often a mystery.
Fifty-eight patients with suspected infectious uveitis had samples run through both the new method, metagenomic sequencing, and routine tests. The method reads all DNA in the sample at once and matches it against pathogen libraries. It caught nearly ninety-seven percent of the infections that the final diagnosis confirmed, far above routine testing. The germs found spanned bacteria, fungi, viruses, and two parasites. Its negative results were also highly trustworthy. The authors say the test can sort infectious from non-infectious inflammation in hard cases, guiding whether to attack a germ or calm the immune system.
Catalog record
| CREATOR | Zhen Cai, Xian Zhang, Yaqin Song, Yan Jiang, Ling Jiang, Tao Li, Xufang Sun |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |