PCR-Probe Capture Hybridization Assay and Statistical Model for SEN Virus Prevalence Estimation

Yasuhito Tanaka, Ruth Pfeiffer, Anthony E.T. Yeo, Masashi Mizokami, Brian R. Edlin, Philip Castle, Thomas R. O'Brien, Harvey J. Alter, J. Wai Kuo Shih

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

SEN viruses (SENV) are newly discovered blood-borne single-stranded circular DNA viruses that may play a role in liver disease. To date, no serologic assays are available for the detection of SENV antigens or antibodies. We report on a rapid and sensitive molecular assay for the detection of four SENV strains (SENV-A, -C, -D, -H). This method uses PCR with universal primers and microwell capture hybridization with type-specific probes. Cut-off points to define "infected" based on chemiluminescence readings were determined from a statistical mixture model applied to samples from 300 injection drug users (IDUs) in San Francisco. Based on the estimated cut-off points, we examined the prevalence of SENV infection among 232 healthy US blood donors and assessed sensitivity and specificity of the assay in a small validation sample of infected individuals with partial sequence information.

Original languageEnglish (US)
Pages (from-to)123-130
Number of pages8
JournalJournal of Medical Virology
Volume73
Issue number1
DOIs
StatePublished - May 2004
Externally publishedYes

Keywords

  • Cut-off value
  • Injection drug users
  • Mixture model
  • SENV
  • Sensitivity

ASJC Scopus subject areas

  • Infectious Diseases
  • Virology

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