More MS news articles for Nov 2001

Antigen discovery in chronic human inflammatory central nervous system disease: panning phage-displayed antigen libraries identifies the targets of central nervous system-derived IgG in subacute sclerosing panencephalitis

J Immunol 2001 Nov 15;167(10):6009-14
Burgoon MP, Owens GP, Carlson S, Maybach AL, Gilden DH.
Departments of. Neurology and Microbiology, University of Colorado Health Sciences Center, Denver, CO 80262.

The presence of increased IgG in the brains of humans with infectious and inflammatory CNS diseases of unknown etiology such as multiple sclerosis may be a clue to the cause of disease.

For example, the intrathecally synthesized oligoclonal bands in diseases such as subacute sclerosing panencephalitis (SSPE) or cryptococcal meningitis have been shown to represent Ab directed against the causative agents, measles virus (MV), or Cryptococcus neoformans, respectively.

Using SSPE as a model system, we developed a strategy to identify the antigenic targets of the intrathecal disease-relevant IgG in chronic human inflammatory and demyelinating diseases of the CNS.

Libraries of cDNA Ags were displayed on the surface of T7Select bacteriophage and biopanned on IgG extracted from the brain of an SSPE patient, or on a monospecific recombinant Fab identified from SSPE brain.

After three or six rounds of biopanning on either Ab, positive phage-displayed Ags reacting with IgG were enriched to 35-77% of all panned clones.

Sequence analysis of the positive clones identified fragments of the nucleocapsid protein of MV, the cause of SSPE.

The sensitivity of the system was determined by diluting the positive clones from this SSPE phage-displayed library at a ratio of 10(-6) into another phage-displayed library that did not contain any detectable MV Ags; after six rounds of panning, the positive clones comprised 34% of all phage and were also shown to be MV nucleocapsid specific.

This strategy will be useful to identify potentially rare Ags in diseases of unknown cause.

PMID: 11698481 [PubMed - in process]