| Autor: |
Karan Goswami, Alexander J. Shope, Vasily Tokarev, Justin R. Wright, Lavinia V. Unverdorben, Truc Ly, Jeremy Chen See, Christopher J. McLimans, Hoi Tong Wong, Lauren Lock, Samuel Clarkson, Javad Parvizi, Regina Lamendella |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-021-02505-7 |
| Popis: |
Abstract Prosthetic joint infections (PJI) are economically and personally costly, and their incidence has been increasing in the United States. Herein, we compared 16S rRNA amplicon sequencing (16S), shotgun metagenomics (MG) and metatranscriptomics (MT) in identifying pathogens causing PJI. Samples were collected from 30 patients, including 10 patients undergoing revision arthroplasty for infection, 10 patients receiving revision for aseptic failure, and 10 patients undergoing primary total joint arthroplasty. Synovial fluid and peripheral blood samples from the patients were obtained at time of surgery. Analysis revealed distinct microbial communities between primary, aseptic, and infected samples using MG, MT, (PERMANOVA p = 0.001), and 16S sequencing (PERMANOVA p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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