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Evaluation of PCR Approaches for Detection of Bartonella bacilliformis in Blood Samples

  • Cláudia Gomes
  • , Sandra Martinez-Puchol
  • , Maria J. Pons
  • , Jorge Bazán
  • , Carmen Tinco
  • , Juana del Valle
  • , Joaquim Ruiz
  • Hospital Clínic – Universitat de Barcelona
  • University of Barcelona
  • Universidad Peruana de Ciencias Aplicadas
  • Dirección Regional de Salud de Cajamarca (DIRESA-Cajamarca)
  • Instituto de Investigación Nutricional

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: The lack of an effective diagnostic tool for Carrion’s disease leads to misdiagnosis, wrong treatments and perpetuation of asymptomatic carriers living in endemic areas. Conventional PCR approaches have been reported as a diagnostic technique. However, the detection limit of these techniques is not clear as well as if its usefulness in low bacteriemia cases. The aim of this study was to evaluate the detection limit of 3 PCR approaches. Methodology/Principal Findings: We determined the detection limit of 3 different PCR approaches: Bartonella-specific 16S rRNA, fla and its genes. We also evaluated the viability of dry blood spots to be used as a sample transport system. Our results show that 16S rRNA PCR is the approach with a lowest detection limit, 5 CFU/μL, and thus, the best diagnostic PCR tool studied. Dry blood spots diminish the sensitivity of the assay. Conclusions/Significance: From the tested PCRs, the 16S rRNA PCR-approach is the best to be used in the direct blood detection of acute cases of Carrion’s disease. However its use in samples from dry blood spots results in easier management of transport samples in rural areas, a slight decrease in the sensitivity was observed. The usefulness to detect by PCR the presence of low-bacteriemic or asymptomatic carriers is doubtful, showing the need to search for new more sensible techniques.

Original languageEnglish
Article numbere0004529
JournalPLoS Neglected Tropical Diseases
Volume10
Issue number3
DOIs
StatePublished - 9 Mar 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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