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To be or not to be co-infected

Authors: Patrick Gasqui; F Féménia; Didier Raoult; E Le Naour; J Chotte; Marie-Lazarine Poulle; Elise Vaumourin; +7 Authors

To be or not to be co-infected

Abstract

Ticks can transmit a large spectrum of pathogens including bacteria, viruses and parasites with a significant number of these pathogens being agents of emerging infectious diseases. In Europe, the most prevalent tick-borne disease is Lyme Borreliosis, caused by the bacteria Borrelia burgdorferi s.l. In most cases, Lyme Borreliosis is well diagnosed. However, beside these typical cases, patients bitten by ticks can be infected by many other pathogens (bacteria: Anaplasma spp., Bartonella spp., Rickettsia spp.; parasites: Babesia spp., Theileria spp.; and arboviruses: TBEV) that are more difficult to diagnose. Moreover, co-infections between several of these pathogens might also occur. Clinical surveys show that patients coinfected by several tick-borne pathogens present more severe symptoms and a longer duration of illness than those infected by a single pathogen. The overall objective of our study was to evaluate tick-borne pathogen coinfection in ticks and the consequence of those coinfections for human health. Using the high throughput real-time PCR chip, we detected the DNA of the 37 major tick-borne pathogens in a cohort of questing adult of Ixodes ricinus ticks collected in Ardennes (France). We identified that 60% of ticks were infected by at least one pathogen and half of the infected ticks were coinfected. We then evaluated the risk for simultaneous infection of those pathogens to humans by detecting the DNA of the most prevalent tick-borne pathogens in the blood of patients bitten by ticks. Our data illustrated the importance of coinfection, and highlighted the necessity to evaluate coinfection in the context of tick-borne diseases.

Country
France
Keywords

[SDV] Life Sciences [q-bio], Severe Symptom, Infectious Diseases, High Throughput, Babesia, Oral Presentation, Infectious Disease, Parasitology, Infectious and parasitic diseases, RC109-216, Typical Case

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
gold