title: The polymerase chain reaction in the diagnosis of Lyme neuroborreliosis.
abstract: The polymerase chain reaction is sensitive and specific in the detection of defined DNA sequences and holds promise for diagnosing the presence of fastidious microorganisms in human infectious diseases. We developed a methodology for nested polymerase chain reaction and hybridization analysis of the cerebrospinal fluid using primers from a genomic Borrelia burgdorferi sequence and applied it to the cerebrospinal fluid (CSF) of patients suspected of having Lyme neuroborreliosis and other diseases. Polymerase chain reaction and hybridization demonstrated extremely high sensitivity for spirochetal DNA, and was highly specific, with a false-positivity rate of less than 3%. However, the results were negative or indeterminate in 54% of CSF samples from patients with definite or probable disease, indicating an absence, or extremely low level, of spirochetes or spirochetal DNA in a significant percentage of patients with Lyme neuroborreliosis. Polymerase chain reaction and hybridization of the CSF can thus be considered a useful adjunct in diagnosis, but its negativity does not rule out Lyme neuroborreliosis.
authors.affiliation: Department of Neurology, Georgetown University School of Medicine, Washington, DC.
authors.forename: A R
authors.initials: AR
authors.lastname: Pachner
authors.forename: E
authors.initials: E
authors.lastname: Delaney
mesh_terms: D000907:Antibodies, Bacterial / Q000134:cerebrospinal fluid; D001483:Base Sequence; D002555:Cerebrospinal Fluid / Q000382:microbiology*; D004269:DNA, Bacterial / Q000032:analysis*; D005260:Female; D005784:Gene Amplification; D005798:Genes, Bacterial; D006801:Humans; D008193:Lyme Disease / Q000235:genetics / Q000382:microbiology*; D008297:Male; D008969:Molecular Sequence Data; D009422:Nervous System Diseases / Q000235:genetics / Q000382:microbiology*; D009693:Nucleic Acid Hybridization; D016133:Polymerase Chain Reaction
chemical_list: D000907:Antibodies, Bacterial; D004269:DNA, Bacterial