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Updated: Jan 29, 2026

Author Spotlight: Advancing Research on Candida albicans Biofilm-Associated Prosthetic Joint Infections
Published on: February 2, 2024
Comparative Analysis of Microbial Detection in Traditional Culture Versus Metagenomic Next-Generation Sequencing in
Po-Yu Liu1, Hung-Jen Tang2, Susan Shin-Jung Lee3
1Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City 407, Taiwan.
Abstract:
Identifying pathogens causing periprosthetic joint infection (PJI) is a challenge for clinicians. We aimed to evaluate the application of metagenomic next-generation sequencing (mNGS) to identify pathogens in PJI. A prospective analysis was conducted of patients diagnosed PJI between 2022 and 2024 at twelve hospitals in Taiwan. Both conventional bacterial culture (CMT) and mNGS of joint fluid and debrided tissue were performed. Demographic characteristics, laboratory results and clinical outcomes were collected. The diagnostic performance of these two methods was analyzed. A total of 42 patients with a mean age of 67.9 years were enrolled in analysis. The knee was the most common joint involved (69.1%). A high proportion of patients (78.6%) received prior antibiotics within the two weeks at sample collection. mNGS identified pathogens in 28 out of 42 patients (66.7%), whereas CMT yielded positive results in 12 out of 42 patients (28.6%) (McNemar's test, p = 0.01). Staphylococcus species was the most common genus detected (n = 11), followed by Cutibacterium (n = 4). Other detected genera included Escherichia, Mycobacterium, Enterobacter, Klebsiella (n = 2 each), Acinetobacter, and Corynebacterium (n = 1 each). Our results support the idea that mNGS could serve as a valuable diagnostic tool for PJI in addition to traditional culture methods.
Insights
Metagenomic next-generation sequencing (mNGS) significantly improves pathogen detection in periprosthetic joint infection (PJI) compared to conventional methods. This advanced technique offers a valuable addition for diagnosing challenging PJI cases.
Area of Science:
- Infectious Diseases
- Microbiology
- Genomics
Background:
- Periprosthetic joint infection (PJI) diagnosis is challenging, often complicated by prior antibiotic use.
- Conventional bacterial culture (CMT) has limitations in identifying causative pathogens.
Purpose of the Study:
- To evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) for PJI.
- To compare mNGS with CMT in pathogen identification for PJI patients.
Main Methods:
- Prospective analysis of 42 PJI patients across twelve Taiwanese hospitals (2022-2024).
- Joint fluid and debrided tissue samples analyzed using both CMT and mNGS.
- Demographic, laboratory, and clinical outcome data collected for analysis.
Main Results:
- mNGS identified pathogens in 66.7% of cases, significantly higher than CMT's 28.6% (p=0.01).
- Commonly detected genera included *Staphylococcus* and *Cutibacterium*.
- Prior antibiotic use was prevalent (78.6%) in enrolled patients.
Conclusions:
- mNGS demonstrates superior diagnostic capability for PJI compared to CMT.
- mNGS is a valuable adjunctive tool for identifying pathogens in PJI.
- Further integration of mNGS can enhance PJI management strategies.
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