A non-invasive diagnosis of histiocytic necrotizing lymphadenitis by means of gene expression profile analysis of peripheral blood mononuclear cells

J Clin Immunol. 2013 Jul;33(5):1018-26. doi: 10.1007/s10875-013-9897-y. Epub 2013 Apr 23.

Abstract

Histiocytic necrotizing lymphadenitis (HNL), also called Kikuchi-Fujimoto disease, is a benign, self-limiting inflammatory disease with fever and painful cervical lymphadenopathy of unknown etiology. A lymph node biopsy is required for the definitive diagnosis because of no specific symptoms or laboratory findings for HNL. To establish the rapid non-invasive diagnostic method for this disease, we investigated genes specifically expressed in the patients by analyzing whole transcriptome using microarray analysis of peripheral blood mononuclear cells (PBMC). The top five up-regulated genes (IFI44L, CXCL10, GBP1, EPSTI1 and IFI27) in HNL were interferon-induced genes (ISGs). The expression levels of the up-regulated genes by microarray were verified by quantitative PCR. High levels of serum CXCL10 concentration were confirmed at the symptomatic phase of HNL patients. The expression levels of these 5 genes positively correlated with each other (r(2) = 0.28-0.60). The genes were also highly expressed in HNL lymph nodes. The discriminant analysis using the expression levels of these five genes distinguished HNL with 84% accuracy. The combination of up-regulated ISGs in HNL seemed to be a specific response induced by viral infections or autoantigens. An analysis of the gene expression profile of PBMC may provide a rapid non-invasive diagnosis of HNL.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Biological Assay
  • Child
  • Child, Preschool
  • Female
  • Gene Expression Profiling / methods
  • Histiocytic Necrotizing Lymphadenitis / blood*
  • Histiocytic Necrotizing Lymphadenitis / genetics*
  • Histiocytic Necrotizing Lymphadenitis / metabolism
  • Humans
  • Leukocytes, Mononuclear / metabolism*
  • Lymph Nodes / metabolism
  • Male
  • Microarray Analysis / methods
  • Transcriptome
  • Up-Regulation