Three-dimensional label-free visualization of the interactions of PM2.5 with macrophages and epithelial cells using

Wang Sik Lee1, Inha Kang2, Sung-Jin Yoon1

  • 1Environmental Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu Daejeon, 34141, Republic of Korea.

PubMed

Insights

Optical diffraction tomography visualizes particulate matter (PM2.5) interactions with cells without labeling. This method reveals how macrophages and epithelial cells uptake PM2.5, offering a new way to study cell-material interactions.

Area of Science:

  • Biophysics
  • Cell Biology
  • Environmental Health

Background:

  • Particulate matter ≤ 2.5 µm (PM2.5) presents health risks, but its cellular interactions are poorly understood.
  • Challenges in labeling heterogeneous PM2.5 hinder visualization of its cellular uptake and effects.
  • Advances in bioimaging are needed to overcome these limitations.

Purpose of the Study:

  • To visualize and quantify the interaction of PM2.5 with cells using optical diffraction tomography (ODT).
  • To investigate cellular uptake dynamics and behaviors of PM2.5 in macrophages and epithelial cells.
  • To establish ODT as a viable technique for studying challenging cell-material interactions.

Main Methods:

  • Utilized optical diffraction tomography (ODT) to generate quantitative phase images based on refractive index distribution.
  • Visualized PM2.5 interactions with macrophages and epithelial cells without requiring labeling techniques.
  • Analyzed intracellular dynamics, uptake, and cellular responses to PM2.5.

Main Results:

  • ODT successfully visualized PM2.5 interactions, including intracellular dynamics and uptake, in both cell types.
  • Demonstrated distinct PM2.5 uptake behaviors: significant accumulation in macrophages over time versus marginal uptake in epithelial cells.
  • Quantitatively compared PM2.5 accumulation within cells, highlighting differences between phagocytic and nonphagocytic cells.

Conclusions:

  • ODT provides a powerful, label-free approach for visualizing and quantifying cellular interactions with PM2.5.
  • The findings highlight ODT's potential for studying interactions involving difficult-to-label materials and cells.
  • ODT analysis is a promising tool for advancing our understanding of environmental health impacts at the cellular level.