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The Microbiome of Osteoarthritic Hip and Knee Joints

微生物群 医学 骨关节炎 生物 病理 生物信息学 替代医学
作者
Karan Goswami,Samuel Clarkson,Craig D. Tipton,Caleb D. Phillips,Douglas A. Dennis,Brian A. Klatt,Michael J. O’Malley,Eric L. Smith,Jeremy M. Gililland,Christopher E. Pelt,Christopher L. Peters,Arthur L. Malkani,Brian T. Palumbo,Steven T. Lyons,Thomas L. Bernasek,Jon Minter,Nitin Goyal,William Purtill,James F. McDonald,Michael B. Cross,Hernan A. Prieto,Gwo‐Chin Lee,Erik N. Hansen,Stefano A. Bini,Derek Ward,Neil Zhao,Noam Shohat,Carlos A. Higuera,Dennis Nam,Craig J. Della Valle,Javad Parvizi
出处
期刊:Journal of Bone and Joint Surgery, American Volume [Wolters Kluwer]
卷期号:105 (11): 821-829 被引量:5
标识
DOI:10.2106/jbjs.22.00594
摘要

Recent advances in high-throughput DNA sequencing technologies have made it possible to characterize the microbial profile in anatomical sites previously assumed to be sterile. We used this approach to explore the microbial composition within joints of osteoarthritic patients.This prospective multicenter study recruited 113 patients undergoing hip or knee arthroplasty between 2017 and 2019. Demographics and prior intra-articular injections were noted. Matched synovial fluid, tissue, and swab specimens were obtained and shipped to a centralized laboratory for testing. Following DNA extraction, microbial 16S-rRNA sequencing was performed.Comparisons of paired specimens indicated that each was a comparable measure for microbiological sampling of the joint. Swab specimens were modestly different in bacterial composition from synovial fluid and tissue. The 5 most abundant genera were Escherichia, Cutibacterium, Staphylococcus, Acinetobacter, and Pseudomonas. Although sample size varied, the hospital of origin explained a significant portion (18.5%) of the variance in the microbial composition of the joint, and corticosteroid injection within 6 months before arthroplasty was associated with elevated abundance of several lineages.The findings revealed that prior intra-articular injection and the operative hospital environment may influence the microbial composition of the joint. Furthermore, the most common species observed in this study were not among the most common in previous skin microbiome studies, suggesting that the microbial profiles detected are not likely explained solely by skin contamination. Further research is needed to determine the relationship between the hospital and a "closed" microbiome environment. These findings contribute to establishing the baseline microbial signal and identifying contributing variables in the osteoarthritic joint, which will be valuable as a comparator in the contexts of infection and long-term arthroplasty success.Diagnostic Level II. See Instructions for Authors for a complete description of levels of evidence.
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