Tick-borne relapsing fever polymerase chain reaction of tick-borne relapsing fever caused by Borrelia hermsii.

Erik J, Uhlmann; Patrick C, Seed; Tom G, Schwan; Gregory A, Storch

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The Pediatric Infect...arrow_drop_down

The Pediatric Infectious Disease Journal

Article . 2007

Data sources: Europe PubMed Central

Tick-borne relapsing fever polymerase chain reaction of tick-borne relapsing fever caused by Borrelia hermsii.

descriptionPublicationkeyboard_double_arrow_right Article 30 May 2007 English Journal:The Pediatric infectious disease journal, volume 26 (issn: 0891-3668,

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Authors: Erik J, Uhlmann; Patrick C, Seed; Tom G, Schwan; Gregory A, Storch;

pmid: 17484230

Tick-borne relapsing fever polymerase chain reaction of tick-borne relapsing fever caused by Borrelia hermsii.

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Abstract

A patient presented to our hospital with symptoms consistent with relapsing fever. A blood specimen was positive by genus-specific polymerase chain reaction, and sequencing revealed Borrelia hermsii. We propose the polymerase chain reaction as a possible alternative for currently used tests for the diagnosis of tick-borne relapsing fever.

Related Organizations

University of Mary
United States

Keywords

Male, Adolescent, Species Specificity, Borrelia, Relapsing Fever, Humans, Polymerase Chain Reaction

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	selected citations These citations are derived from selected sources. 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).	18
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%