Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections

BMC Microbiology

Fereshteh Jabalameli¹  Samaneh Bourbour¹  Reza Beigverdi¹  Mohammad Emaneini¹  Mohamad Naghi Tahmasebi²  Arash Sharafatvaziri²  Seyed Mohammad Javad Mortazavi²  Mahmoud Jabalameli³  Amirheckmat Taghizadeh⁴ 

[1] Department of Microbiology, School of Medicine, Tehran University of Medical Sciences;Department of Orthopedic Surgery, Imam Khomaini Hospital, Tehran University of Medical Sciences, knee and hip surgeon;Department of Orthopedic Surgery, Shafa Yahyaiyan Hospital, Iran University of Medical Sciences;School of Electrical and Computer engineering, college of engineering, University of Tehran;

关键词: Periprosthetic joint infections;    Pathogens;    Broad-range PCR;    High-resolution melt analysis;   

DOI  :  10.1186/s12866-021-02164-8

来源: DOAJ

【 摘 要 】

Abstract Background Accurate and rapid identification of microorganisms causing periprosthetic joint infections (PJIs) are necessary for choosing an appropriate antibiotic therapy. Therefore, molecular techniques are suggested for diagnosis in suspected PJIs. The Broad-range PCR and High-Resolution Melt Analysis (HRMA) were evaluated for the identification of causative organisms of PJIs in this study. Results For 47 of 63 specimens, both the culture and broad-range PCR were positive. The culture was found to be able of organism’s detection in 74.6% (47/63) of patients. Of 47 positive cultures, 11 (23.4%) were polymicrobial and 36 (76.59%) were monomicrobial cultures, in which 34 (91.89%) cases were detected by HRM assay. The sensitivity, specificity of HRMA vs monomicrobial culture were 91.89, 93.75%, respectively. The sensitivity, specificity of total HRMA (mono + poly) vs culture were 82.92, 93.75%. Conclusions HRM assay coupled with broad-range PCR are effective screening, rapid, and relatively cost-effective methods for discrimination of PJIs especially in aiding culture method. Using computer programs such as the Matlab-2018b program for HRM data analysis is also valuable and helpful in diagnosis.

【 授权许可】

Unknown