HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Optimization of LipL32 PCR assay for increased sensitivity in diagnosing leptospirosis.

Abstract
Early diagnosis of leptospirosis in humans is critical with regard to initiation of appropriate treatment; however, the gold standard serological test cannot detect antibodies until nearly a week after symptom onset. PCR has been shown to be sensitive and specific in the early phase of leptospirosis. Previously, we developed and validated a TaqMan PCR assay targeting lipL32. We reoptimized and validated this assay using PerfeCTa® qPCR ToughMix®, Low ROX™ (Quanta Biosciences, Gaithersburg, MD, USA). For optimization with the new mix, the final primer concentrations were increased from 0.5 μmol/L to 0.9 μmol/L compared to our previous assay, and the probe concentration increased from 0.1 μmol/L to 0.125 μmol/L. This newly optimized assay resulted in a lower limit of detection and increased diagnostic sensitivity. Here, we present the performance data of the improved assay and describe several clinical cases that were initially negative but tested positive using the optimized assay.
AuthorsRenee L Galloway, Alex R Hoffmaster
JournalDiagnostic microbiology and infectious disease (Diagn Microbiol Infect Dis) Vol. 82 Issue 3 Pg. 199-200 (Jul 2015) ISSN: 1879-0070 [Electronic] United States
PMID25912810 (Publication Type: Comparative Study, Journal Article, Validation Study)
CopyrightPublished by Elsevier Inc.
Topics
  • Adolescent
  • Adult
  • Humans
  • Leptospirosis (diagnosis)
  • Male
  • Molecular Diagnostic Techniques (methods)
  • Polymerase Chain Reaction (methods)
  • Sensitivity and Specificity
  • Young Adult

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: