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• W2982688764 abstract "Abstract The diagnosis of periprosthetic joint infection (PJI) remains a challenge. However, recent studies showed that synovial fluid biomarkers have demonstrated greater diagnostic accuracy than the currently used PJI diagnostic tests. In many diagnostic tests, combining several biomarkers into panels is critical for improving diagnostic efficiency, enhancing the diagnostic precision for specific diseases, and reducing cost. In this study, we prove that combining alpha-defensin and C-reactive protein (CRP) as biomarkers possesses the potential to provide accurate PJI diagnosis. To further verify the result, we developed a multi-target lateral flow immunoassay strip (msLFIA) with staking pad design to obtain on-site rapid response for clinical diagnosis of PJI. A total of 10 synovial fluid samples were tested using the msLFIA, and the results showed that the combined measurements of synovial fluid alpha-defensin and CRP levels were consistent with those obtained from a commercial enzyme-linked immunosorbent assay kit. In addition, we developed a multi-target lateral flow immunoassay strip (msLFIA) with staking pad design to obtain on-site rapid response for clinical diagnosis of PJI, which the multi-target design is used to increase specificity and the stacking pad design is to enhance detection sensitivity. As a result, the turnaround time of the highly sensitive test can be limited from several hours to 20 min. We expect that the developed msLFIA possesses the potential for routine monitoring of PJI as a convenient, low-cost, rapid and easy to use detection device for PJI." @default.
• W2982688764 created "2019-11-08" @default.
• W2982688764 creator A5011490169 @default.
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• W2982688764 date "2019-10-30" @default.
• W2982688764 modified "2023-10-14" @default.
• W2982688764 title "Development of a multiplex and sensitive lateral flow immunoassay for the diagnosis of periprosthetic joint infection" @default.
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• W2982688764 doi "https://doi.org/10.1038/s41598-019-52051-6" @default.
• W2982688764 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6821814" @default.
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• W2982688764 hasPublicationYear "2019" @default.
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