title: In vitro inflammation inhibition model based on semi-continuous toll-like receptor biosensing.
abstract: A chemical inhibition model of inflammation is proposed by semi-continuous monitoring the density of toll-like receptor 1 (TLR1) expressed on mammalian cells following bacterial infection to investigate an in vivo-mimicked drug screening system. The inflammation was induced by adding bacterial lysate (e.g., Pseudomonas aeruginosa) to a mammalian cell culture (e.g., A549 cell line). The TLR1 density on the same cells was immunochemically monitored up to three cycles under optimized cyclic bacterial stimulation-and-restoration conditions. The assay was carried out by adopting a cell-compatible immunoanalytical procedure and signal generation method. Signal intensity relative to the background control obtained without stimulation was employed to plot the standard curve for inflammation. To suppress the inflammatory response, sodium salicylate, which inhibits nuclear factor-κB activity, was used to prepare the standard curve for anti-inflammation. Such measurement of differential TLR densities was used as a biosensing approach discriminating the anti-inflammatory substance from the non-effector, which was simulated by using caffeic acid phenethyl ester and acetaminophen as the two components, respectively. As the same cells exposed to repetitive bacterial stimulation were semi-continuously monitored, the efficacy and toxicity of the inhibitors may further be determined regarding persistency against time. Therefore, this semi-continuous biosensing model could be appropriate as a substitute for animal-based experimentation during drug screening prior to pre-clinical tests.
authors.affiliation: Department of Bio-Microsystem Technology, Korea University, Anam-dong, Seongbuk-Gu, Seoul, Korea.
authors.forename: Jin-Woo
authors.initials: JW
authors.lastname: Jeon
authors.affiliation: Department of Biotechnology and Bioinformatics, Korea University, Sejong-ro, Sejong, Korea.
authors.forename: Un-Hwan
authors.initials: UH
authors.lastname: Ha
authors.affiliation: Department of Bio-Microsystem Technology, Korea University, Anam-dong, Seongbuk-Gu, Seoul, Korea; Department of Biotechnology and Bioinformatics, Korea University, Sejong-ro, Sejong, Korea.
authors.forename: Se-Hwan
authors.initials: SH
authors.lastname: Paek
mesh_terms: D000818:Animals; D000893:Anti-Inflammatory Agents / Q000494:pharmacology; D015374:Biosensing Techniques; D004353:Drug Evaluation, Preclinical / Q000379:methods; D006367:HeLa Cells; D006801:Humans; D007249:Inflammation / Q000378:metabolism / Q000382:microbiology; D051379:Mice; D011550:Pseudomonas aeruginosa / Q000276:immunology; D012764:Shigella sonnei / Q000276:immunology; D012980:Sodium Salicylate / Q000494:pharmacology; D051193:Toll-Like Receptors / Q000378:metabolism*; D014733:Vibrio / Q000276:immunology
chemical_list: D000893:Anti-Inflammatory Agents; D051193:Toll-Like Receptors; D012980:Sodium Salicylate