Systembiologie in der Ophthalmologie – innovative Wirkstoffidentifikation zur spezifischen Vermeidung postoperativer Fibrose

Abstract

The long-term success of fistulating therapies for the treatment of glaucoma is essentially limited by excessive scarring reactions (fibrosis). Cytostatic agents such as mitomycin C can prevent fibrosis, but are often associated with side effects. Specific antifibrotics are not currently in clinical use. Therefore, this study describes a systems biology approach using a dedicated bioinformatics technology platform, with which active substances can be identified and repositioned as antifibrotics. Differential gene expression data of human Tenon fibroblasts (hTF) were collected from untreated hTF and from hTF stimulated with TGF-β1 ("fibrotic fibroblasts") by next-generation sequencing (NGS) and were used as the basis for the drug identification process. These data were filtered with the bioinformatic tool "FocusHeuristics". In comparison with the Connectivity Map database, antifibrotic agents were identified. The evaluation of a potentially promising drug as an antifibrotic was performed at hTF by indirect immunofluorescence in vitro. The analysis of the gene expression data led to the identification of several interaction networks of genes or proteins involved in fibrotic processes. One of these networks contains the cytokine bone morphogenic protein 6 (BMP6), interleukin 6 (IL6) and fibroblast growth factor 1 (FGF1). Another relevant network has been identified around the cluster of differentiation 34 (CD34) gene. The comparison of these data with those of the Connectivity Map allowed the identification of an inhibitory drug. Its evaluation in the fibrotic cell culture model in vitro using indirect immunofluorescence led to a significant reduction in the expression of the fibrotic marker proteins fibronectin and alpha-smooth muscle actin (α-SMA), which confirmed the predicted antifibrotic effect. Systems biological approaches can be used for the identification of antifibrotic drug candidates for the prevention of postoperative fibrosis and should be transferable by the investigating differential gene expression data of further ocular cells or tissues to other ophthalmological fields of application.