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. 2004 Apr 15;379(Pt 2):351–358. doi: 10.1042/BJ20031371

Expression of pro-inflammatory markers by human dermal fibroblasts in a three-dimensional culture model is mediated by an autocrine interleukin-1 loop.

Daniela Kessler-Becker 1, Thomas Krieg 1, Beate Eckes 1
PMCID: PMC1224070  PMID: 14686880

Abstract

In vivo, fibroblasts reside in connective tissues, with which they communicate in a reciprocal way. Such cell--extracellular matrix interactions can be studied in vitro by seeding fibroblasts in collagen lattices. Depending upon the mechanical properties of the system, fibroblasts are activated to assume defined phenotypes. In the present study, we examined a transcriptional profile of primary human dermal fibroblasts cultured in a relaxed collagen environment and found relative induction (>2-fold) of 393 out of approx. 7100 transcripts when compared with the same system under mechanical tension. Despite down-regulated proliferation and matrix synthesis, cells did not become generally quiescent, since they induced transcription of numerous other genes including matrix metalloproteinases (MMPs) and growth factors/cytokines. Of particular interest was the induction of gene transcripts encoding pro-inflammatory mediators, e.g. cyclo-oxygenase-2 (COX-2), and interleukins (ILs)-1 and -6. These are apparently regulated in a hierarchical fashion, since the addition of IL-1 receptor antagonist prevented induction of COX-2, IL-1 and IL-6, but not that of MMP-1 or keratinocyte growth factor (KGF). Our results suggest strongly that skin fibroblasts are versatile cells, which adapt to their extracellular environment by displaying specific phenotypes. One such phenotype, induced by a mechanically relaxed collagen environment, is the 'pro-inflammatory' fibroblast. We propose that fibroblasts that are embedded in a matrix environment can actively participate in the regulation of inflammatory processes.

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Selected References

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Associated Data

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Supplementary Materials

Complete list of sequences analysed by UniGem V 1.0 (Incyte Genomics).
bj3790351add.pdf (635.3KB, pdf)

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