Establishment of a High Content Image Platform to Measure NF-κB Nuclear Translocation in LPS-induced RAW264.7 Macrophages for Screening Anti-inflammatory Drug Candidates

Curr Drug Metab. 2022 Aug 3;23(5):394-414. doi: 10.2174/1389200223666220411121614.

Abstract

Background: High Content Image (HCI), an automatic imaging and analysis system, provides a fast drug screening method by detecting the subcellular distribution of protein in intact cells.

Objective: This study established the first standardized HCI platform for lipopolysaccharide (LPS)-induced RAW264.7 macrophages to screen anti-inflammatory compounds by measuring nuclear factor-κB (NF-κB) nuclear translocation.

Methods: The influence of the cell passages, cell density, LPS induction time and concentration, antibody dilution, serum, dimethyl sulfoxide, and analysis parameters on NF-κB nuclear translocation and HCI data quality was optimized. The BAY-11-7085, the positive control for inhibiting NF-κB, and the Western blot assay were separately employed to verify the stability and reliability of the platform. Lastly, the effect of BHA on NO release, iNOS expression, IL-1β, IL-6, and TNF-α mRNA in LPS-induced RAW264.7 cells was detected.

Results: The optimal conditions for measuring NF-κB translocation in LPS-induced RAW264.7 cells by HCI were established. Cells that do not exceed 22 passages were seeded at a density of 10 k cells/well and pretreated with compounds following 200 ng/mL LPS for 40 min. Parameters including the nuclear area of 65 μm2, cell area of 80 μm2, collar of 0.9 μm, and sensitivity of 25% were recommended for image segmentation algorithms in the analysis workstation. Benzoylhypaconine from aconite was screened for the first time as an anti-inflammatory candidate by the established HCI platform. The inhibitory effect of benzoylhypaconine on NF-κB translocation was verified by Western blot. Furthermore, benzoylhypaconine reduced the release of NO, inhibited the expression of iNOS, and decreased the mRNA levels of IL-1β, IL-6, and TNF-α.

Conclusion: The established HCI platform could be applied to screen anti-inflammatory compounds by measuring the NF-κB nuclear translocation in LPS-induced RAW264.7 cells.

Keywords: BAY 11-7085; High content image; RAW264.7 macrophages; anti-inflammation; benzoylhypaconine; lipopolysaccharide; nuclear factor-κB nuclear translocation.

MeSH terms

  • Anti-Inflammatory Agents / pharmacology
  • Humans
  • Inflammation / metabolism
  • Interleukin-6 / metabolism
  • Interleukin-6 / pharmacology
  • Lipopolysaccharides* / metabolism
  • Lipopolysaccharides* / pharmacology
  • Macrophages / metabolism
  • NF-kappa B* / genetics
  • Nitric Oxide / metabolism
  • Nitric Oxide / pharmacology
  • RNA, Messenger / metabolism
  • Reproducibility of Results
  • Tumor Necrosis Factor-alpha / genetics
  • Tumor Necrosis Factor-alpha / metabolism
  • Tumor Necrosis Factor-alpha / pharmacology

Substances

  • Anti-Inflammatory Agents
  • Interleukin-6
  • Lipopolysaccharides
  • NF-kappa B
  • RNA, Messenger
  • Tumor Necrosis Factor-alpha
  • Nitric Oxide