Verification of mono- and mixed contaminations transmitting agents tick-borne infections

A L Shutikova1, V A Lubova1, G N Leonova1

  • 1Somov Institute of Epidemiology and Microbiology.

Insights

Ixodid ticks in Primorsky region frequently carry multiple pathogens, leading to mixed infections in humans. Comprehensive laboratory testing is crucial for diagnosing tick-borne diseases, especially Lyme borreliosis coinfections.

Area of Science:

  • Medical Entomology
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Nosoareas of tick-borne pathogens often overlap in Primorsky region, leading to co-infections in ticks and humans.
  • Mixed infections pose diagnostic challenges and can result in complex pathologies.

Purpose of the Study:

  • To investigate the spectrum of tick-borne pathogens in ixodid ticks during the 2019 epidemic season.
  • To determine the prevalence of mono- and mixed infections in ticks from the Primorsky region.

Main Methods:

  • Collection of 651 ixodid ticks from humans during the 2019 epidemic season.
  • Detection of pathogen RNA/DNA using polymerase chain reaction (PCR).
  • Detection of Tick-Borne Encephalitis Virus (TBEV) antigen using ELISA.

Main Results:

  • Prevalence of detected pathogens: Lyme borreliosis (35.3%), tick-borne relapsing fever (11.3%), human granulocytic anaplasmosis (2.6%), human monocytic ehrlichiosis (2.4%), tick-borne encephalitis (1.8%), and tick-borne rickettsiosis (1.0%).
  • Mixed infections were found in 23.1% of ticks, with Borrelia species identified in all mixed cases. The most frequent combination was Borrelia burgdorferi sensu lato + Borrelia miyamotoi (37.8% of mixed infections).
  • Mono-infections were less common for TBE virus, Ehrlichia, Anaplasma, and Rickettsia, but Borrelia burgdorferi sensu lato showed high prevalence in mono-infection (58.7%).

Conclusions:

  • Co-circulation of multiple tick-borne pathogens is common in the Primorsky region, necessitating a broad diagnostic approach.
  • Complex laboratory diagnostics are essential for individuals bitten by ticks to identify all potential co-infecting agents prevalent in the area.

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