Comparative analysis of mRNA expression profiles in Type 1 and Type 2 diabetes mellitus

Author:

Gao Li1,Sun Nannan2,Xu Qinglei3,Jiang Zhiming2,Li Chong2

Affiliation:

1. Department of Endocrinology, Shandong Provincial Qianfoshan Hospital (Qianfoshan Hospital Affiliated to Shandong University), Jinan 250014, China

2. Department of Critical-care Medicine, Shandong Provincial Qianfoshan Hospital (Qianfoshan Hospital Affiliated to Shandong University), Jinan 250014, China

3. Department of Endocrinology, Lanshan District Diabetes Hospital of LinYi, Shandong University of Traditional Chinese Medicine, Linyi 276038, China

Abstract

Aim: We aimed to understand the individual and shared features of Type 1 diabetes (T1D) and Type 2 diabetes (T2D) by analyzing the gene expression profile. Materials & methods: An integrated analysis was performed with microarray datasets for T1D and T2D. Compared with normal control, shared and specific differentially expressed genes (DEGs) in T1D and T2D were obtained. Functional annotation, further validation and receiver operating characteristic curve analysis were performed. Results: Five and three datasets for T1D and T2D were downloaded, respectively. In total, 141 (85 T1D vs 56 normal controls) and 70 (29 T2D vs 41 normal controls) peripheral blood samples were included in T1D and T2D group, respectively. Compared with normal controls, 119 and 146 DEGs were found in T1D and T2D, respectively. PNP and CCR1 have great diagnostic value for both T1D and T2D. MGAM and NAMPT had great diagnostic value for T2D. Conclusion: Our finding provided clues for developing biomarkers for diabetes.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Genetics

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