[Morphologic HIV demonstration in formalin embedded material--techniques, problems, results]

C Zietz1, B Speiser, W Hell

  • 1Pathologisches Institut, Universität München.

Verhandlungen Der Deutschen Gesellschaft Fur Pathologie
|January 1, 1991
PubMed

Insights

Archival tissue sections can detect HIV using immunohistology and nucleic acid hybridization. DNA-Polymerase chain reaction effectively identifies latent HIV in paraffin-embedded autopsy samples, though contamination controls are crucial.

Area of Science:

  • Pathology
  • Virology
  • Immunohistochemistry

Context:

  • Formalin-fixed, paraffin-embedded (FFPE) archival specimens are valuable for retrospective studies.
  • Detecting Human Immunodeficiency Virus (HIV) in various tissue types presents diagnostic challenges.
  • Advancements in molecular and immunological techniques are crucial for accurate HIV detection.

Purpose:

  • To evaluate the efficacy of different techniques for detecting HIV in FFPE archival specimens.
  • To compare immunohistological methods, in situ nucleic acid hybridization, and DNA-Polymerase chain reaction (PCR) for HIV detection.
  • To assess the suitability of these methods for identifying both active and latent HIV infection.

Summary:

  • Immunohistological techniques with new antibodies reliably detect HIV-infected cells in the proliferative phase on tissue sections.
  • In situ nucleic acid hybridization can identify HIV in the expression phase on paraffin-embedded material but struggles with latent infections.
  • DNA-Polymerase chain reaction (PCR) successfully detects latent provirus in morphologically defined areas of FFPE autopsy samples, including lymph nodes and eyes, necessitating strict contamination controls.

Impact:

  • Establishes FFPE archival material as a viable resource for morphological HIV detection.
  • Highlights the strengths and limitations of various HIV detection methods in FFPE tissues.
  • Provides a foundation for improved diagnostic strategies for latent HIV infection in archival research.