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Near-IR and IR imaging in lipid metabolism and obesity
R G Buice1, L A Cassis, R A Lodder
1College of Pharmacy, University of Kentucky Medical Center Lexington 40536, USA.
Abstract:
Approximately one-third of Americans are classified as obese. There has long been an interest in drug therapies for obesity. Interest in obesity research and in drug interventions in obesity has greatly increased since the discovery of a protein named leptin, one of apparently many competing biological signals in energy metabolism. The complexity of the obesity problem demands new non-invasive and non-destructive methods for monitoring lipid metabolism and energy expenditure to study the competing biological signals and their effects. A new computer algorithm for spectrometric imaging of living subjects is used to remove artifacts arising from subject motion from spectra and images. The algorithm is sufficiently simple to be implemented easily in hardware for real-time video processing. Because the algorithm can be applied to images, thermogenesis and lipid metabolism in interscapular adipose tissue can be observed directly in unrestrained and unanesthetized subjects using an InSb focal plane array video camera. The accuracy and precision of temperature and spectral measurements are established using laboratory references and prototype drugs in test subjects.
Insights
New imaging methods help study obesity. A computer algorithm analyzes spectrometric data to monitor lipid metabolism and energy expenditure in living subjects, aiding obesity drug development.
Area of Science:
- Biomedical Engineering
- Metabolic Research
- Obesity Studies
Background:
- Obesity affects one-third of Americans, driving interest in drug therapies.
- Leptin discovery increased focus on biological signals in energy metabolism.
- Complex obesity requires non-invasive monitoring of lipid metabolism and energy expenditure.
Purpose of the Study:
- To develop novel non-invasive methods for monitoring metabolic processes in obesity research.
- To enable direct observation of thermogenesis and lipid metabolism in living subjects.
- To support the study of biological signals affecting energy balance.
Main Methods:
- A new computer algorithm was developed to remove motion artifacts from spectrometric imaging data.
- The algorithm facilitates real-time video processing for analyzing spectra and images.
- InSb focal plane array video cameras were used for imaging unrestrained, unanesthetized subjects.
Main Results:
- The algorithm effectively removes motion artifacts from spectrometric imaging.
- Thermogenesis and lipid metabolism in interscapular adipose tissue were directly observed.
- Temperature and spectral measurements demonstrated accuracy and precision using laboratory references.
Conclusions:
- The developed algorithm and imaging technique offer a non-invasive approach to studying obesity.
- This method allows direct observation of metabolic processes in living subjects.
- The findings support advancements in obesity research and drug development.