1. Academic Validation
  2. 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

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.
Yan-Yu Zhang 1 2 Yun-Da Yao 1 2 Qi-Qing Cheng 1 2 Yu-Feng Huang 1 2 Hua Zhou 1 2 3 4
Affiliations

Affiliations

  • 1 Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macao, P.R. China.
  • 2 Joint Laboratory for Translational Cancer Research of Chinese Medicine of the Ministry of Education of the People's Republic of China, Guangzhou University of Chinese Medicine, Guangzhou 510006, P.R. China.
  • 3 Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine, Zhuhai City, Guangdong Province 519000, P.R. China.
  • 4 Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, P.R. China.
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.

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