■越来越多的证据强调了慢性胰腺炎(CP)和2型糖尿病(T2D)之间的强烈关联,尽管相互作用的确切机制尚不清楚。本研究旨在探讨CP与T2D的串扰基因及其发病机制。
■从基因表达综合中提取CP和T2D的转录组基因表达谱,分别,随后鉴定了常见的差异表达基因(DEGs)。进一步分析,如基因本体论(GO),京都基因和基因组百科全书(KEGG),蛋白质-蛋白质相互作用,转录因子(TFs),microRNA(miRNA),和候选化学品鉴定,进行是为了探索这两种疾病之间可能的共同特征。
■总共,我们通过交互CP和T2D数据集获得281个常见DEG,并使用CytoHubba鉴定了10个hub基因。GO和KEGG分析显示内质网应激和线粒体功能障碍与这些常见的DEG密切相关。在共同的基因中,EEF2,DLD,RAB5A,根据受试者工作特征曲线和精确召回曲线,SLC30A9对两种疾病均显示出有希望的诊断价值。此外,我们确定了16个关键的TFs和16个miRNAs与hub基因密切相关,它可以作为CP和T2D的新分子靶标。最后,筛选出可能成为治疗CP和T2D的潜在药物的候选化学物质.
■这项研究提供了CP和T2D之间共有基因和病理特征的证据。EEF2,DLD,RAB5A,和SLC30A9已被确定为具有最高的诊断效率,可以作为这些疾病的生物标志物,为CP和T2D的精确诊断和治疗提供新的见解。
UNASSIGNED: Mounting evidence highlights a strong association between chronic pancreatitis (CP) and type 2 diabetes (T2D), although the exact mechanism of interaction remains unclear. This study aimed to investigate the crosstalk genes and pathogenesis between CP and T2D.
UNASSIGNED: Transcriptomic gene expression profiles of CP and T2D were extracted from Gene Expression Omnibus, respectively, and the common differentially expressed genes (DEGs) were subsequently identified. Further analysis, such as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction, transcription factors (TFs), microRNA (miRNAs), and candidate chemicals identification, was performed to explore the possible common signatures between the two diseases.
UNASSIGNED: In total, we acquired 281 common DEGs by interacting CP and T2D datasets, and identified 10 hub genes using CytoHubba. GO and KEGG analyses revealed that endoplasmic reticulum stress and mitochondrial dysfunction were closely related to these common DEGs. Among the shared genes, EEF2, DLD, RAB5A, and SLC30A9 showed promising diagnostic value for both diseases based on receiver operating characteristic curve and precision-recall curves. Additionally, we identified 16 key TFs and 16 miRNAs that were strongly correlated with the hub genes, which may serve as new molecular targets for CP and T2D. Finally, candidate chemicals that might become potential drugs for treating CP and T2D were screened out.
UNASSIGNED: This study provides evidence that there are shared genes and pathological signatures between CP and T2D. The genes EEF2, DLD, RAB5A, and SLC30A9 have been identified as having the highest diagnostic efficiency and could be served as biomarkers for these diseases, providing new insights into precise diagnosis and treatment for CP and T2D.