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

被引:31
作者
Hsiang, Chien-Yun [2 ]
Chen, Yueh-Sheng [3 ]
Ho, Tin-Yun [1 ,4 ]
机构
[1] China Med Univ, Grad Inst Chinese Med Sci, Mol Biol Lab, Taichung 40402, Taiwan
[2] China Med Univ, Dept Microbiol, Taichung 40402, Taiwan
[3] China Med Univ, Grad Inst Chinese Med Sci, Biomat Lab, Taichung 40402, Taiwan
[4] China Med Univ Hosp, Dept Nucl Med, Taichung 40447, Taiwan
关键词
Bioluminescence imaging; Transcriptomic analysis; Nuclear factor-kappa B; Genipin-cross-linked gelatin conduit; GENE-EXPRESSION; 3T3-L1; ADIPOCYTES; CONNECTIVITY MAP; GLUCOSE-UPTAKE; RESISTANCE; GENIPIN; MECHANISMS; PROFILES; INSIGHTS; MODELS;
D O I
10.1016/j.biomaterials.2009.02.016
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Establishment of a comprehensive platform for the assessment of host-biomaterial interaction in vivo is an important issue. Nuclear factor-kappa B (NF-kappa B) is an inducible transcription factor that is activated by numerous stimuli. Therefore, NF-kappa B-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-kappa B 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 cl, 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. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3042 / 3049
页数:8
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