A Novel High Discriminatory Protocol for the Detection of Borrelia afzelii, Borrelia burgdorferi Sensu Stricto and Borrelia garinii in Ticks - Anses - Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail Access content directly
Journal Articles Pathogens Year : 2022

A Novel High Discriminatory Protocol for the Detection of Borrelia afzelii, Borrelia burgdorferi Sensu Stricto and Borrelia garinii in Ticks

Giulia Chiappa
  • Function : Author
Matteo Perini
Alessandra Cafiso
Riccardo Nodari
  • Function : Author
Peter Wilhelmsson
  • Function : Author
Per-Eric Lindgren
  • Function : Author
Anna Omazic
Karin Ullman
  • Function : Author
Petter Kjellander
Chiara Bazzocchi
Giulio Grandi

Abstract

Bacteria of the Borrelia burgdorferi sensu lato complex are the causative agents of Lyme borreliosis (LB). Even if the conventional diagnosis of LB does not rely on the species itself, an accurate species identification within the complex will provide a deepened epidemiological scenario, a better diagnosis leading to a more targeted therapeutic approach, as well as promote the general public’s awareness. A comparative genomics approach based on the 210 Borrelia spp. genomes available in 2019 were used to set up three species-specific PCR protocols, able to detect and provide species typing of Borrelia afzelii, Borrelia burgdorferi sensu stricto (s.s.) and Borrelia garinii, the three most common and important human pathogenic Lyme Borrelia species in Europe. The species-specificity of these protocols was confirmed on previously identified B. afzelii, B. burgdorferi s.s. and B. garinii specimens detected in Ixodes ricinus samples. In addition, the protocols were validated on 120 DNA samples from ticks collected in Sweden, showing 88% accuracy, 100% precision, 72% sensitivity and 100% specificity. The proposed approach represents an innovative tool in epidemiological studies focused on B. burgdorferi s.l. occurrence in ticks, and future studies could suggest its helpfulness in routine diagnostic tests for health care.
Fichier principal
Vignette du fichier
pathogens-11-01234-v2.pdf (693.21 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

anses-03942954 , version 1 (08-12-2023)

Identifiers

Cite

Giulia Chiappa, Matteo Perini, Alessandra Cafiso, Riccardo Nodari, Peter Wilhelmsson, et al.. A Novel High Discriminatory Protocol for the Detection of Borrelia afzelii, Borrelia burgdorferi Sensu Stricto and Borrelia garinii in Ticks. Pathogens, 2022, 11 (11), pp.1234. ⟨10.3390/pathogens11111234⟩. ⟨anses-03942954⟩
11 View
1 Download

Altmetric

Share

Gmail Facebook X LinkedIn More