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Tick-borne encephalitis (TBE) is a zoonotic disease, transmitted mainly by the bite of ticks. The TBE virus (TBEV) belongs to the family Flaviviridae, genus Flavivirus and is able to cause meningoencephalitis. For serological TBEV detection, the neutralization test (NT) is the most specific assay available. Different NT protocols are used in the laboratories, and until now the performance of these NTs has never been tested in an external quality assessment (EQA). In this EQA, we compared the results of eight European laboratories in detecting 17 samples (11 TBEV positive, five flavivirus cross reactive, and one negative sample) by NT. Furthermore, 14 of these EQA samples and 15 additional samples were tested in different commercial assays: 15 immunoglobulin G (IgG) enzyme-linked immunosorbent assays (ELISAs) and an immunofluorescence assay (IFA). Four laboratories showed a good NT EQA performance, whereas four laboratories had some sensitivity problems. Additionally, two of these laboratories showed a lack in specificity, misidentifying a dengue-positive sample as TBEV positive. The comparison of the commercial ELISAs revealed a high sensitivity in all assays, but as expected for IgG, the ELISAs showed a high degree of flavivirus cross reactivity. The assessment of Vienna Units in some of the ELISAs revealed deviations in the standards used by the different companies. Therefore, these standards should be revised. Generally, in this EQA, we found that reliable NT protocols are used in most of the laboratories, and the evaluation of the IgG ELISAs and the IFA showed a good agreement.
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http://dx.doi.org/10.1089/vbz.2012.1287 | DOI Listing |
J Travel Med
September 2025
Virology and Pathogenesis Group, Public Health Microbiology, UK Health Security Agency, Porton Down, UK.
Our UK field investigations of tick-borne encephalitis virus were abruptly interrupted by a bed bug infestation in our short-term rental accommodation. Subsequent weeks were spent decontaminating belongings and monitoring our homes. As global bed bug infestations rise, increased awareness of prevention and control strategies is crucial for both travellers and accommodation providers.
View Article and Find Full Text PDFInt J Infect Dis
September 2025
Division of Infection and Immunity, University College London, London, United Kingdom; NIHR Biomedical Research Centre, UCL Hospitals NHS Foundation Trust, London, NW3 OPQ, United Kingdom. Electronic address:
Viruses
August 2025
Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Deer tick virus (DTV) is a Tick-Borne Orthoflavivirus endemic to the United States, transmitted to humans through bites from the deer tick, , which is also the primary vector of , the causative agent of Lyme disease. Human infection with DTV can result in acute febrile illness followed by central nervous system complications, such as encephalitis and meningoencephalitis. Currently, there are mouse models established for investigating the pathogenesis and clinical outcomes of DTV that mimic human infections, but the strains of mice utilized are refractory to infection with Here, we describe the pathogenesis and clinical outcomes of DTV infection in C3H/HeJ mice.
View Article and Find Full Text PDFViruses
July 2025
Division of Virus Research and Therapeutics, CSIR-Central Drug Research Institute, Lucknow 226031, India.
Kyasanur Forest disease virus (KFDV), a tick-borne Orthoflavivirus endemic to the Indian subcontinent, is a public health threat due to its recurrent outbreaks and expanding geographic range. This review provides a comprehensive overview of KFDV, encompassing its epidemiological trends, transmission dynamics, and ecological determinants that influence its spread. We delve into the current understanding of KFDV pathogenesis, highlighting key viral and host factors that drive infection and disease progression.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
This article presents a deep learning approach for classifying the developmental stages (larvae, nymphs, adult females, and adult males) of ticks, the most common tick species in Europe and a major vector of tick-borne pathogens, including , , and tick-borne encephalitis virus (TBEV). Each developmental stage plays a different role in disease transmission, with nymphs considered the most epidemiologically relevant stage due to their small size and high prevalence. We developed a convolutional neural network (CNN) model trained on a dataset of microscopic tick images collected in the area of Upper Silesia, Poland.
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