Adipose tissue macrophages: MR tracking to monitor obesity-associated inflammation

Alain Luciani1, Sophie Dechoux, Vanessa Deveaux

  • 1INSERM, U955, Equipe 17, Créteil, 94000, France. alain.luciani@hmn.aphp.fr

Radiology
|April 24, 2012
PubMed
Abstract

Insights

Ultrasmall superparamagnetic iron oxide-enhanced MRI can detect and quantify adipose tissue inflammation in obese mice. This imaging technique shows promise for assessing metabolic syndrome risk in patients.

Area of Science:

  • Biomedical Imaging
  • Nanotechnology
  • Metabolic Research

Background:

  • Adipose tissue inflammation is a hallmark of obesity and metabolic syndrome.
  • Current methods for assessing adipose tissue inflammation are invasive.
  • Novel non-invasive imaging techniques are needed for early detection and monitoring.

Purpose of the Study:

  • To evaluate ultrasmall superparamagnetic iron oxide (USPIO)-enhanced magnetic resonance (MR) imaging for detecting and quantifying adipose tissue macrophage-related inflammation.
  • To assess the correlation between USPIO-enhanced MR imaging findings and established markers of inflammation and macrophage infiltration in a mouse model of obesity.

Main Methods:

  • Obese (ob/ob) and lean (ob/+) mice were injected with P904 USPIO nanoparticles.
  • Three-dimensional T2*-weighted gradient-echo MR images were acquired 10 days post-injection.
  • MR imaging signal variance was correlated with F4/80 immunostaining, inflammatory gene expression (CCl2, Tnfα, Emr1), and USPIO quantification via electron paramagnetic resonance imaging.

Main Results:

  • MR imaging demonstrated significantly increased adipose tissue signal variance in obese mice compared to controls.
  • A strong positive correlation was observed between MR imaging signal variance and USPIO iron oxide content in adipose tissue.
  • Significant correlations were found between MR imaging findings and macrophage quantification, as well as expression of key proinflammatory markers.

Conclusions:

  • P904 USPIO-enhanced MR imaging is a viable non-invasive tool for assessing adipose tissue inflammation in experimental obesity.
  • These findings support the potential translation of this MR imaging technique into clinical practice for identifying patients at risk for metabolic syndrome.