Whipple's disease: immunospecific and quantitative immunohistochemical study of intestinal biopsy specimens

Hubert Lepidi1, Florence Fenollar, Rene Gerolami

  • 1Unité des Rickettsies, Université de la Méditerranée, and Hôpital de la Conception, Marseille, France.

Human Pathology
|June 27, 2003
PubMed

Insights

Immunohistochemistry effectively detects Tropheryma whipplei in intestinal biopsies for Whipple's disease diagnosis. This method offers high specificity and sensitivity, aiding in both active infection detection and retrospective studies.

Area of Science:

  • Gastroenterology
  • Infectious Diseases
  • Pathology

Background:

  • Whipple's disease diagnosis traditionally relies on methods like PAS staining and electron microscopy.
  • Accurate detection of Tropheryma whipplei is crucial for diagnosing and managing Whipple's disease.

Purpose of the Study:

  • To evaluate the diagnostic utility of immunohistochemistry (IHC) for detecting Tropheryma whipplei in intestinal biopsies.
  • To quantify infected cells and assess the diagnostic value of IHC compared to PAS staining.

Main Methods:

  • Analysis of 29 duodenal biopsy specimens from 15 Whipple's disease patients (untreated and treated) and controls.
  • Quantitative image analysis of PAS staining and IHC using CD68 and T. whipplei antibodies.
  • Comparison of staining surface areas before and after antibiotic therapy.

Main Results:

  • Immunohistochemistry detected T. whipplei in all 15 Whipple's disease patients.
  • Massive intestinal macrophagic infiltration (CD68+) was observed in patients (20.3% pre-therapy, 13.4% post-therapy) vs. controls (2.1%).
  • While IHC and PAS staining were similar pre-therapy, IHC showed significantly lower surface area post-therapy (2.8% vs. 7.9%).

Conclusions:

  • Immunohistochemistry is a highly specific and sensitive method for detecting T. whipplei in intestinal tissues.
  • IHC is a valuable diagnostic tool for active Whipple's disease and retrospective analyses.
  • Quantitative image analysis aids in assessing treatment response and disease burden.