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.

Highlights

  • Inflammation is the body’s immediate response to damage to its tissues and cells by harmful stimuli, such as pathogens, damaged cells, or irritants [1]

  • To investigate the new model, we established the biological concept, described earlier, for the expression of toll-like receptors (TLRs) as a biomarker indicating the status of inflammation by bacterial stimulation and showing its regulation

  • The differential TLR biosensing concept proposed by combining TLR regulation switching with semi-continuous monitoring enabled us to provide highly informative data essential for screening anti-inflammatory drug candidates

Read more

Summary

Introduction

Inflammation is the body’s immediate response to damage to its tissues and cells by harmful stimuli, such as pathogens, damaged cells, or irritants [1]. Acute inflammation lasting a short-term period usually cures the body from wounds and infections, and enables the organism to survive via progressive destruction of tissue. Chronic inflammation is a prolonged, dysregulated, and maladaptive response, causing various diseases [2], such as hay fever, periodontitis, atherosclerosis, rheumatoid arthritis, and even cancer (e.g., gallbladder carcinoma) [3]. The processes by which acute inflammation is initiated and develops are well defined, but much less is known about the causes of chronic inflammation and the associated molecular and cellular pathways [2]. Inflammation is normally closely regulated by the body, it should be monitored and controlled by medication to alleviate symptoms and to prevent inflammation-related diseases from turning into a serious illness [3]

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.