BACKGROUND: Infections of Borrelia burgdorferi sensu lato reveal clinical manifestations affecting numerous organs and tissues. The standard diagnostic procedure of these infections is quite simple if a positive history of tick exposure or typical erythema migrans appears. Lack of unequivocal clinical symptoms creates the necessity for further evaluation with laboratory tests. OBJECTIVES: This study discusses the utility of a novel, improved, well-optimized, sensitive and highly specific quantitative real-time PCR assay for the diagnostics of infections caused by Borrelia burgdorferi sensu lato. MATERIAL AND METHODS: We designed an improved, specific, highly sensitive real-time quantitative polymerase chain reaction (RQ-PCR) assay for the detection and quantification of all Borrelia burgdorferi genotypes. A wide validation effort was undertaken to ensure confidence in the highly sensitive and specific detection of B. burgdorferi. RESULTS: Due to high sensitivity and great specificity, as low as 1.6×10² copies of Borrelia per mL of whole blood could be detected. As much as 12 (3%) negative ELISA IgM results, 14 (2.8%) negative results of Line blot IgM, 11 (3.1%) and 7 (2.7%) of negative ELISA IgG and Line blot IgG results, respectively, were positive in real-time PCR. CONCLUSIONS: The data in this study confirms the high positive predictive value of real-time PCR test in the detection of Borrelia infections.
BACKGROUND:Infections of Borrelia burgdorferi sensu lato reveal clinical manifestations affecting numerous organs and tissues. The standard diagnostic procedure of these infections is quite simple if a positive history of tick exposure or typical erythema migrans appears. Lack of unequivocal clinical symptoms creates the necessity for further evaluation with laboratory tests. OBJECTIVES: This study discusses the utility of a novel, improved, well-optimized, sensitive and highly specific quantitative real-time PCR assay for the diagnostics of infections caused by Borrelia burgdorferi sensu lato. MATERIAL AND METHODS: We designed an improved, specific, highly sensitive real-time quantitative polymerase chain reaction (RQ-PCR) assay for the detection and quantification of all Borrelia burgdorferi genotypes. A wide validation effort was undertaken to ensure confidence in the highly sensitive and specific detection of B. burgdorferi. RESULTS: Due to high sensitivity and great specificity, as low as 1.6×10² copies of Borrelia per mL of whole blood could be detected. As much as 12 (3%) negative ELISA IgM results, 14 (2.8%) negative results of Line blot IgM, 11 (3.1%) and 7 (2.7%) of negative ELISA IgG and Line blot IgG results, respectively, were positive in real-time PCR. CONCLUSIONS: The data in this study confirms the high positive predictive value of real-time PCR test in the detection of Borrelia infections.
Authors: Bobbi S Pritt; Laurel B Respicio-Kingry; Lynne M Sloan; Martin E Schriefer; Adam J Replogle; Jenna Bjork; Gongping Liu; Luke C Kingry; Paul S Mead; David F Neitzel; Elizabeth Schiffman; Diep K Hoang Johnson; Jeffrey P Davis; Susan M Paskewitz; David Boxrud; Alecia Deedon; Xia Lee; Tracy K Miller; Michelle A Feist; Christopher R Steward; Elitza S Theel; Robin Patel; Cole L Irish; Jeannine M Petersen Journal: Int J Syst Evol Microbiol Date: 2016-08-24 Impact factor: 2.747
Authors: Luke C Kingry; Dhwani Batra; Adam Replogle; Lori A Rowe; Bobbi S Pritt; Jeannine M Petersen Journal: PLoS One Date: 2016-12-28 Impact factor: 3.240
Authors: Jacques Sevestre; Antoine Benichou; Vanessa Rio; Pascal Delaunay; Géraldine Gonfrier; Cécile Martaresche; Virginie Carlo; Sarah Nakam; Véronique Mondain; Michel Carles; Pierre Yves Jeandel; Jacques Durant Journal: Front Med (Lausanne) Date: 2022-03-22
Authors: Steven E Schutzer; Barbara A Body; Jeff Boyle; Bernard M Branson; Raymond J Dattwyler; Erol Fikrig; Noel J Gerald; Maria Gomes-Solecki; Martin Kintrup; Michel Ledizet; Andrew E Levin; Michael Lewinski; Lance A Liotta; Adriana Marques; Paul S Mead; Emmanuel F Mongodin; Segaran Pillai; Prasad Rao; William H Robinson; Kristian M Roth; Martin E Schriefer; Thomas Slezak; Jessica L Snyder; Allen C Steere; Jan Witkowski; Susan J Wong; John A Branda Journal: Clin Infect Dis Date: 2019-03-05 Impact factor: 9.079