S. Thakkervaria et al., GENE-EXPRESSION IN ACTIVATED BRAIN MICROGLIA - IDENTIFICATION OF A PROTEINASE-INHIBITOR THAT INCREASES MICROGLIAL CELL NUMBER, Molecular brain research, 56(1-2), 1998, pp. 99-107
Microglia, the intrinsic immune cells of the central nervous system, a
re activated in a variety of inflammatory brain diseases in which they
play a pathogenetic role. However, mechanisms underlying activation a
re largely unknown. To begin elucidating molecular mechanisms associat
ed with activation, we characterized the pattern of gene expression in
virtually pure dissociated microglial cultures, using RT-PCR differen
tial display. Microglia were activated with bacterial lipopolysacchari
de (LPS), a traditional stimulant, and the profile of gene expression
was compared to that in basal, control cultures. Activation resulted i
n altered expression of six genes. The cDNAs were isolated, sequenced
and characterized. Homology searches identified three novel genes, and
two that exhibited very high sequence similarity to the gene encoding
squamous cell carcinoma antigen (SCCA). SCCA (1 and 2) are tandemly a
rranged genes that encode two serine proteinase inhibitors (serpins).
SCCA has been detected exclusively in cancer cells, and is a plasma ma
rker for squamous cell carcinoma. Immunoblot analysis indicated that g
ene expression was accompanied by a 5-fold increase in the synthesis o
f SCCA protein in LPS-activated microglia. To assess potential biologi
cal actions of the SCCA serpins, SCCA1 protein was added to cultures.
SCCA1 altered microglial morphology, and elicited a dramatic, 5-fold i
ncrease in cell number within 72 h. The effects appeared to be cell-sp
ecific, since the protein had no effect on other cell types: cortical
astrocytes and neurons from cortex or basal forebrain were unaffected.
We tentatively conclude that SCCA1 may play a cell-specific role in i
ncreasing cell number, a critical early step in microglial activation
and brain inflammation. More generally, differential display of genes
in the microglial model system may help define patterns of expression
associated with CNS disease, thereby identifying pathogenetic mechanis
ms and new therapeutic targets. (C) 1998 Elsevier Science B.V.