Senior Honors Projects, 2010-2019

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Date of Graduation

Spring 2014

Document Type


Degree Name

Bachelor of Science (BS)


Department of Biology


Terrie K. Rife

Janet Daniel

Timothy Bloss

Nusrat Jahan


Metabolic syndrome is a clustering of risk factors that make a person more susceptible to cardiovascular disease and diabetes, and subsequently kidney disease. The overall metabolic health of American society is decreasing at an alarming rate. Metabolic syndrome is difficult to study due to its multi-factorial nature, which can vary from study to study. This work utilizes a meta-analysis to examine the trends in changes of gene expression that occur in rat kidneys from three different models of metabolic syndrome. Microarray studies used for this analysis were GSE4800, and GSE7193 obtained from the Gene Expression Omnibus, and E-MEXP-1695 obtained from the European Bioinformatics Institute. Following processing, 88 genes were found to be significant, including 73 upregulated genes, and 15 downregulated genes. Approximately 42.0% of the significant genes had already been associated with metabolic syndrome. Five novel genes were chosen to examine in further detail using real time PCR. These genes include downregulated genes RGD1309350, and Klk1c9 and upregulated genes Stk32c, Ampd3, and Mgmt. Preliminary qPCR results verified the trends found through meta- analysis for Klk1c9, and Mgmt, but not for the remaining three genes. Future work involves continuing to verify the gene expression with qPCR.



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