Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray

Authors

  • Wenzhu Dong Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy https://orcid.org/0000-0001-6167-8331
  • Hangping Chen Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy
  • Lu Wang Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy
  • Xiaoqian Cao Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy
  • Xiawei Bu Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy
  • Yan Peng Zhejiang Chinese Medical University, College of Pharmaceutical Science, Institute of Pharmacy
  • Aiqing Dong Taizhou Central Hospital, East Sea Road
  • Mengjiang Ying Taizhou Central Hospital, East Sea Road
  • Xu Chen Taizhou Central Hospital, East Sea Road
  • Xin Zhang Taizhou Central Hospital, East Sea Road
  • Li Yao Taizhou Central Hospital, East Sea Road

DOI:

https://doi.org/10.1590/s2175-97902020000118333

Keywords:

Hypertension, Diabetes, Hyperlipidemia, Genes, Microarray, Neoplasm

Abstract

Given their relationship with metabolic syndrome and systematic inflammatory diseases, the pathogenesis of hypertension, hyperglycemia, and hyperlipidemia is closely related. To explore the common genes among these three conditions, spontaneous hypertensive rats (SHR), spontaneous diabetic Goto-Kakizaki rats (GK) and hyperlipidemia rats (HMR) were reared for experiments. Gene array was used to identify the genes of SHR, GK and HMR compared with normal Wistar rats using TBtools software. First, real-time PCR was applied to verify these genes, and Cytoscape software was used to construct networks based on the National Center for Biotechnology Information (NCBI) database. Second, Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis was performed to classify the genes. Visualization and Integrated Discovery (DAVID) database and Gene Ontology database were used to explore the biological function. Finally, Onto-tools Pathway Express was used to analyze the pathways of shared genes. Importantly, upregulated common genes, such as Bad, Orm1, Arntl and Zbtb7a, were used to construct a network of 150 genes, while downregulated genes, such as Mif and Gpx1, formed a network of 29 genes. Interestingly, the networks were involved in various pathways, such as insulin signal pathway, endometrial cancer pathway, circadian rhythm pathway, and pancreatic cancer pathway. We discovered common genes of SHR, GK and HMR compared with normal Wistar rats, and the association of these genes together with biological function were preliminarily revealed.

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Published

2020-12-09

How to Cite

Dong, W. ., Chen, H. ., Wang, L. ., Cao, X. ., Bu, X. ., Peng, Y. ., Dong, A., Ying, M. ., Chen, X. ., Zhang, X. ., & Yao, L. . (2020). Exploring the shared genes of hypertension, diabetes and hyperlipidemia based on microarray. Brazilian Journal of Pharmaceutical Sciences, 56, e18333. https://doi.org/10.1590/s2175-97902020000118333

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