Date of Award
2017
Document Type
Open Access Master's Report
Degree Name
Master of Science in Mathematical Sciences (MS)
Administrative Home Department
Department of Mathematical Sciences
Advisor 1
Kui Zhang
Committee Member 1
Qiuying Sha
Committee Member 2
Feng Zhao
Abstract
Ureteropelvic junction obstruction is a disease in which flow from the kidney to the bladder is obstructed for extended periods of time causing irreversible damage to the kidney. Current tests to detect kidney damage caused by obstruction are not effective until significant damage occurs. The purpose of this report is to identify a panel of biomarkers in urine to detect kidney damage earlier by analyzing data collected from a two-part study. Currently, two established urinary biomarkers to indicate kidney damage are NGAL and KIM-1. Biomarkers of interest in this study are CD13, CD10, and CD26. Results from the linear mixed model, from the murine animal study, determined that these biomarkers express significantly higher concentrations in damaged tissue. Predictive modeling on the clinical data indicated that CD13 and CD10 may provide more accurate predictions on UPJO patients than CD26.
Recommended Citation
Tahtinen, Mitchell D., "ANALYSIS OF DATA FROM A STUDY TO IDENTIFY POTENTIAL BIOMARKERS TO INDICATE RENAL INJURY", Open Access Master's Report, Michigan Technological University, 2017.