Related Experiment Video
Updated: May 26, 2026
07:10
In vivo Imaging Method to Distinguish Acute and Chronic Inflammation
Published on: August 16, 2013
Visualizing and quantifying acute inflammation using ICAM-1 specific nanoparticles and MRI quantitative
Richard Wong1, Xiaoyue Chen, Yi Wang
1Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
Annals of Biomedical Engineering
|December 7, 2011
Summary
This study introduces a novel MRI technique using leukocyte-mimetic nanoparticles (LMN) to image inflammation. This method accurately detects organ-specific inflammation, offering a new diagnostic tool for inflammatory diseases.
Area of Science:
- Biomedical Imaging
- Nanotechnology
- Immunology
Background:
- Inflammation is linked to disease progression.
- Accurate imaging of inflammation is crucial for diagnosis and treatment.
- Current methods lack specificity in organ-level inflammation detection.
Purpose of the Study:
- To develop a high-resolution spatiotemporal imaging method for inflammation.
- To utilize leukocyte-mimetic nanoparticles (LMN) for inflammation detection.
- To validate MRI quantitative susceptibility mapping (QSM) for nanoparticle quantification.
Main Methods:
- Systemic injection of lipopolysaccharides (LPS) in mice to induce inflammation.
- Magnetic resonance imaging (MRI) with SPIO-based LMN targeting ICAM-1.
- Quantitative susceptibility mapping (QSM) for non-invasive SPIO quantification.
- Comparison of QSM results with direct radioactivity measurements.
Main Results:
- LMN accumulation was observed in the liver, correlating with ICAM-1 induction.
- Spleen nanoparticle accumulation was ICAM-1 independent, driven by phagocytosis.
- QSM-estimated nanoparticle amounts agreed well with radioactivity measurements.
- Demonstrated organ-specific inflammation detection in LPS-treated mice.
Conclusions:
- Spatiotemporal mapping of LMN by MRI QSM is a reliable, rapid, non-invasive method.
- This technique can identify organ-specific inflammation.
- Offers a novel diagnostic approach for inflammatory diseases.
