陈超Chao Chen

讲师(高校)

职称:  讲师(高校) 硕士生导师

主要任职:讲师 (硕士研究生导师)

性别:男

出生日期:1990-07-13

学历:博士研究生

学位:理学博士学位

入职时间:2021-09-01

所在单位:华侨大学医学院

办公地点:福建省厦门市集美区集美大道668号华侨大学厦门校区泛华科技楼B201室

电子邮箱:

在职信息:在岗

职务:讲师

论文成果

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Pathogenic gene connections in type 2 diabetes and nonalcoholic fatty liver disease: a bioinformatics analysis and mouse model investigations experiments

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所属单位:华侨大学
教研室:医学院
发表刊物:Nutrition & Diabetes
项目来源:国家自然科学基金
摘要:BACKGROUND: Type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD) are prevalent metabolic disorders with
overlapping pathophysiological mechanisms. A comprehensive understanding of the shared molecular pathways involved in these
conditions can advance the development of effective therapeutic interventions.
METHODS: We used two datasets sourced from the Gene Expression Omnibus (GEO) database to identify common differentially
expressed genes (DEGs) between T2D and NAFLD. Subsequently, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of
Genes and Genomes (KEGG) analyses to identify the enriched biological processes and signaling pathways. In addition, we
performed a protein-protein interaction (PPI) network analysis to identify hub genes with pivotal roles. To validate our findings, we
established a type 2 diabetic mouse model with NAFLD.
RESULTS: Our analysis identified 53 DEGs shared between T2D and NAFLD. Enrichment analysis revealed their involvement in
signal transduction, transcriptional regulation, and cell proliferation as well as in the ferroptosis signaling pathways. PPI network
analysis identified ten hub genes, namely CD44, CASP3, FYN, KLF4, HNRNPM, HNRNPU, FUBP1, RUNX1, NOTCH3, and ANXA2. We
validated the differential expression of FYN, HNRNPU, and FUBP1 in liver tissues of a type 2 diabetic mouse model with NAFLD.
CONCLUSIONS: Our study offers valuable insights into the shared molecular mechanisms underlying T2D and NAFLD. The
identified hub genes and pathways present promising prospects as therapeutic targets to address these prevalent metabolic
disorders.
论文类型:期刊论文
学科门类:医学
一级学科:基础医学
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收录刊物:SCI