Mid-Infrared Spectroscopic Imaging as an Approach To Identify the Early Chemical Changes in Kidney Glomeruli Associated with Diabetes.
Michael J Walsh, Suman Setty, Andre Kajdacsy-Balla, Rohit Bhargava. University of Illinois at Urbana-Champaign; University of Illinois Medical Center, Chicago
Background: The ability to detect the initial changes of diabetic and obesity-related glomerulopathy in tissue sections is limited. There are no tools to recognize biochemical changes in the glomerulus that could be applied to early diagnosis. Mid-Infrared (IR) spectroscopic imaging represents a novel approach to derive chemical images of kidney tissue based on the tissues biochemistry. Our group has made progress towards the development of high-resolution mid-infrared imaging towards basement membrane identification and chemical characterization in human tissues. In this study we examine the feasibility of using mid-infrared imaging to detect pre-diabetic and diabetic changes in glomeruli.
Design: Recent advances in high-resolution mid-infrared imaging has allowed for detailed chemical images of kidney glomeruli to be acquired. As a proof of principal we studied a representative number of normal, pre-diabetic and diabetic cases. Mid-IR images were acquired of normal, pre-diabetic, and diabetic kidney biopsies with paraffin-embedded tissue samples with H&E – stained serial sections. IR images were acquired at 1.56, 6.25 and 25-micron spatial resolution.
Results: Mid-IR imaging coupled with modified Bayesian classification could rapidly identify the presence and number of glomeruli within tissue biopsies, even at a coarse spatial resolution (25microns). More importantly, high resolution images of glomeruli (1.56microns) revealed differences in the chemical makeup of the basement membrane were that allowed distinguishing between normal, pre-diabetic and diabetic patients.
Conclusions: Due to the novel availability of high-resolution mid-IR imaging that allows visualization of basement membranes, it was possible for the first time to detect biochemical changes that precede light microscopy signs of diabetic glomerulopathy. This technique is promising since it could be used to predict progression of disease such as in patients after transplant for diabetic glomerulosclerosis.
Monday, February 28, 2011 1:00 PM
Poster Session II # 278, Monday Afternoon