Pilot Study for Noninvasive Spectroscopic Detection of Adipose Tissue Inflammation in Obesity
Status: | Active, not recruiting |
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Conditions: | Obesity Weight Loss |
Therapuetic Areas: | Endocrinology |
Healthy: | No |
Age Range: | 18 - 70 |
Updated: | 4/21/2016 |
Start Date: | August 2013 |
End Date: | August 2016 |
This study will test the potential of two techniques using light properties of adipose
tissue to diagnose crown-like structures and inflammation to be compared with pathologic
examination of adipose tissue biopsies from ongoing clinical studies.
tissue to diagnose crown-like structures and inflammation to be compared with pathologic
examination of adipose tissue biopsies from ongoing clinical studies.
Adipose tissue (fat) inflammation is emerging as an important harbinger of disease
development including Type 2 diabetes, heart disease and potentially cancer. The hallmark
feature of adipose tissue inflammation is the crown-like structure, a dying fat cell
surrounded by immune cells attempting to clear the damage. Current methods for detecting
adipose tissue inflammation rely on invasive procedures such as fat biopsies. We propose
developing methods that use the light reflection properties of inflamed adipose tissue as a
potential non-invasive method to detect adipose tissue inflammation.
development including Type 2 diabetes, heart disease and potentially cancer. The hallmark
feature of adipose tissue inflammation is the crown-like structure, a dying fat cell
surrounded by immune cells attempting to clear the damage. Current methods for detecting
adipose tissue inflammation rely on invasive procedures such as fat biopsies. We propose
developing methods that use the light reflection properties of inflamed adipose tissue as a
potential non-invasive method to detect adipose tissue inflammation.
Inclusion Criteria:
-Subjects currently enrolled in a current Rockefeller University study who will be
undergoing adipose tissue biopsies as part of the study protocol
Exclusion Criteria:
-History of any skin disease
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