Nuclear factor-κB bioluminescence imaging-guided transcriptomic analysis for the assessment of host–biomaterial interaction in vivo

CMUR > College of Medicine > Graduate Institute of Immunology > Journal articles > Item 310903500/1872

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Title:	Nuclear factor-κB bioluminescence imaging-guided transcriptomic analysis for the assessment of host–biomaterial interaction in vivo
Authors:	項千芸(Chien-Yun Hsiang);陳悅生(Yueh-Sheng Chen);侯庭鏞(Tin-Yun Ho)*
Contributors:	醫學院免疫學研究所
Keywords:	Bioluminescence imaging;Transcriptomic analysis;Nuclear factor-κB;Genipin-cross-linked gelatin conduit
Date:	2009-06
Issue Date:	2009-08-19 17:15:31 (UTC+8)
Abstract:	Establishment of a comprehensive platform for the assessment of host–biomaterial interaction in vivo is an important issue. Nuclear factor-κB (NF-κB) is an inducible transcription factor that is activated by numerous stimuli. Therefore, NF-κB-dependent luminescent signal in transgenic mice carrying the luciferase genes was used as the guide to monitor the biomaterials-affected organs, and transcriptomic analysis was further applied to evaluate the complex host responses in affected organs in this study. In vivo imaging showed that genipin-cross-linked gelatin conduit (GGC) implantation evoked the strong NF-κB activity at 6 h in the implanted region, and transcriptomic analysis showed that the expressions of interleukin-6 (IL-6), IL-24, and IL-1 family were up-regulated. A strong luminescent signal was observed in spleen on 14 d, suggesting that GGC implantation might elicit the biological events in spleen. Transcriptomic analysis of spleen showed that 13 Kyoto Encyclopedia of Genes and Genomes pathways belonging to cell cycles, immune responses, and metabolism were significantly altered by GGC implants. Connectivity Map analysis suggested that the gene signatures of GGC were similar to those of compounds that affect lipid or glucose metabolism. GeneSetTest analysis further showed that host responses to GGC implants might be related to diseases states, especially the metabolic and cardiovascular diseases. In conclusion, our data provided a concept of molecular imaging-guided transcriptomic platform for the evaluation and the prediction of host–biomaterial interaction in vivo.
Relation:	BIOMATERIALS 30(17):3042~3049
Appears in Collections:	[Graduate Institute of Immunology] Journal articles

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