Quantitative analysis of monocyte subpopulations in murine atherosclerotic plaques by multiphoton microscopy

Abigail S Haka1, Stephane Potteaux, Haley Fraser

  • 1Department of Biochemistry, Weill Cornell Medical College, New York, New York, United States of America.

Plos One
|October 2, 2012
PubMed

Insights

Researchers developed a new method using fluorescent beads and multiphoton microscopy to study different types of monocytes in living animals. This technique helps understand monocyte roles in atherosclerosis and other inflammatory diseases.

Area of Science:

  • Cardiovascular Biology
  • Immunology
  • Medical Imaging

Background:

  • Monocyte accumulation in atherosclerotic plaques is a key feature of atherosclerosis.
  • Circulating monocytes are heterogeneous, with distinct functionalities.
  • Understanding monocyte subpopulation dynamics is crucial for developing atherosclerosis therapies.

Purpose of the Study:

  • To present a novel methodology for in vivo examination of monocyte subpopulations in mouse models of atherosclerosis.
  • To enable detailed investigation of monocyte differential mobilization, recruitment, survival, and emigration during atherogenesis.

Main Methods:

  • Combination of cellular labeling with fluorescent beads and multiphoton microscopy.
  • In vivo visualization and monitoring of monocyte subpopulations in living animals.
  • Analysis of monocyte subpopulation trafficking and localization in excised atherosclerotic plaques.

Main Results:

  • Multiphoton microscopy accurately and efficiently analyzes monocyte subpopulation trafficking in excised tissues.
  • Multiphoton microscopy successfully monitors monocyte subpopulation trafficking within atherosclerotic plaques in living animals.

Conclusions:

  • The developed methodology offers a novel approach for in vivo examination of monocyte subpopulations.
  • This technique facilitates new insights into atherosclerosis pathogenesis and other inflammatory diseases.
  • The approach has broad applications for studying cellular dynamics in disease models.

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