Sonia Santibáñez1, Aránzazu Portillo, Paula Santibáñez, Ana M Palomar, José Antonio Oteo. 1. Área de Enfermedades Infecciosas, Laboratorio de Patógenos Especiales-Centro de Rickettsiosis y Enfermedades Transmitidas por Artrópodos Vectores, Hospital San Pedro-Centro de Investigación Biomédica de La Rioja (CIBIR), Logroño, Spain.
Abstract
BACKGROUND: The effectiveness of PCR methods to amplify rickettsiae from clinical samples has still not been evaluated. Our aim was to determine the sensitivity and usefulness for Rickettsia species identification by PCR methods, targeting 16S rDNA, htrA, gltA, ompA, and ompB genes for molecular diagnosis of rickettsioses. METHODS: A total of 72 clinical samples (EDTA-blood, skin biopsies and ticks) taken from 52 patients in the early phase of the illness with PCR-confirmed rickettsioses were included. Single [16S rDNA, gltA (5' end), and htrA genes] and sequential (nested or semi-nested) PCR assays [ompB, gltA (central region) and ompA genes] were performed. RESULTS: For single-stage PCR assays, the greatest sensitivity (33.3%) was obtained using the gltA (5' end), while for sequential assays, the most sensitive results were obtained using the ompB assay (83.3%). The highest sensitivity (100%) was achieved using the three sequential PCRs. The ompA PCR method was the most reliable for identifying Rickettsia species, according to clinical features. CONCLUSIONS: PCR-based amplification methods are useful rickettsial diagnostic tools in the early phase of the illness. The three sequential PCR assays here investigated (ompB, gltA and ompA) appear to be useful tools for molecular diagnosis of rickettsioses. ompB PCR assay is effective for primary screening, since it detects a high percentage of positive samples. ompA assay is the most useful method to identify a Rickettsia species in human pathology. Nevertheless, epidemiology, clinical symptoms and the vector involved in the infection have to be taken into account for the diagnosis of rickettsioses.
BACKGROUND: The effectiveness of PCR methods to amplify rickettsiae from clinical samples has still not been evaluated. Our aim was to determine the sensitivity and usefulness for Rickettsia species identification by PCR methods, targeting 16S rDNA, htrA, gltA, ompA, and ompB genes for molecular diagnosis of rickettsioses. METHODS: A total of 72 clinical samples (EDTA-blood, skin biopsies and ticks) taken from 52 patients in the early phase of the illness with PCR-confirmed rickettsioses were included. Single [16S rDNA, gltA (5' end), and htrA genes] and sequential (nested or semi-nested) PCR assays [ompB, gltA (central region) and ompA genes] were performed. RESULTS: For single-stage PCR assays, the greatest sensitivity (33.3%) was obtained using the gltA (5' end), while for sequential assays, the most sensitive results were obtained using the ompB assay (83.3%). The highest sensitivity (100%) was achieved using the three sequential PCRs. The ompA PCR method was the most reliable for identifying Rickettsia species, according to clinical features. CONCLUSIONS: PCR-based amplification methods are useful rickettsial diagnostic tools in the early phase of the illness. The three sequential PCR assays here investigated (ompB, gltA and ompA) appear to be useful tools for molecular diagnosis of rickettsioses. ompB PCR assay is effective for primary screening, since it detects a high percentage of positive samples. ompA assay is the most useful method to identify a Rickettsia species in human pathology. Nevertheless, epidemiology, clinical symptoms and the vector involved in the infection have to be taken into account for the diagnosis of rickettsioses.
Authors: Susana Remesar; Pablo Díaz; Aránzazu Portillo; Sonia Santibáñez; Alberto Prieto; José M Díaz-Cao; Ceferino M López; Rosario Panadero; Gonzalo Fernández; Pablo Díez-Baños; José A Oteo; Patrocinio Morrondo Journal: Exp Appl Acarol Date: 2019-10-26 Impact factor: 2.132
Authors: Ana M Palomar; Aránzazu Portillo; Ariñe Crespo; Sonia Santibáñez; David Mazuelas; José A Oteo Journal: Parasit Vectors Date: 2015-02-19 Impact factor: 3.876
Authors: Jack Pilgrim; Mats Ander; Claire Garros; Matthew Baylis; Gregory D D Hurst; Stefanos Siozios Journal: Environ Microbiol Date: 2017-09-18 Impact factor: 5.491
Authors: Remil L Galay; Melbourne R Talactac; Bea V Ambita-Salem; Dawn Maureen M Chu; Lali Marie O Dela Costa; Cinnamon Mae A Salangsang; Darwin Kyle B Caracas; Florante H Generoso; Jonathan A Babelonia; Joeneil L Vergano; Lena C Berana; Kristina Andrea C Sandalo; Billy P Divina; Cherry R Alvarez; Emmanuel R Mago; Masako Andoh; Tetsuya Tanaka Journal: Trop Med Infect Dis Date: 2020-04-04
Authors: Matthew T Robinson; Jaruwan Satjanadumrong; Tom Hughes; John Stenos; Stuart D Blacksell Journal: Epidemiol Infect Date: 2019-10-07 Impact factor: 2.451