Discipline: Technology and Engineering
Room: Marriott Balcony B
Paula Angarita Rivera - Indiana University-Purdue University of Indianapolis
Co-Author(s): Mark Woollam, Indiana University-Purdue University of Indianapolis, Indianapolis, IN; Ali Daneshkhah, Indiana University-Purdue University of Indianapolis, Indianapolis, IN; Amanda Siegel, Indiana University-Purdue University of Indianapolis, Indianapolis, IN; Dana S. Hardin, Indiana University-Purdue University of Indianapolis, Indianapolis, IN; Mangilal Agarwal, Indiana University-Purdue University of Indianapolis, Indianapolis, IN
Breath samples were collected from campers and counselors at a diabetes youth camp to validate differences between hypoglycemia and other euglycemic metabolic states. Identifying potential volatile metabolic biomarkers in breath can lead to the development of a novel, noninvasive, and inexpensive biosensor to alert patients when they are hypoglycemic. VOC(Volatile Organic Compoudns) biomarkers are hypothesized to identify hypoglycemic events with high specificity due to dysregulation of metabolic processes. In the summer of 2018, 177 samples were collected in Tedlar bags during euglycemic (resting, fasting, exercise), and hypoglycemic states. For euglycemic samples, blood glucose (BG) levels reported were the levels most recently measured and patients noted they were not experiencing symptoms of hypoglycemia. Samples were analyzed via Solid Phase Microextraction coupled to Gas Chromatography?Mass Spectrometry Quadrupole Time-of-Flight. Chromatograms were spectrally aligned, and Wilcoxon Rank sum was utilized to identify VOCs that were statistically significant (p<0.05). Principal Component Analysis and Linear Discriminant Analysis reduced data dimensionality and distinguished hypoglycemic from euglycemic samples. Statistical analyses showed VOCs with p<0.05 had high variation between fasting/resting and hypoglycemic samples. Exercise samples displayed significant heterogeneity (high within class variation) with some samples trending either towards hypoglycemia or euglycemia as predicted by VOC concentrations. Results indicated that a set of patients may have been heading toward hypoglycemia during exercising but had no symptoms at the time of breath collection. While the VOC results can predict hypoglycemic events, further studies will be undertaken to clinically validate this by monitoring BG levels up to 60 minutes after exercise.
Funder Acknowledgement(s): National Science Foundation (NSF) for their support (Award 1502310); American Diabetes Association, Camp John Warvel staff and participants
Faculty Advisor: Mangilal Agarwal, firstname.lastname@example.org
Role: I contributed to this research project by recruiting campers and collecting breath samples from them at ADA youth camp. I ran the samples using the GC/MS QTOF instrument and I performed the statistical analysis needed for this research.