Bioinformatics analyses of potentially common pathogenic networks for primary Sjogren’s syndrome complicated with acute myocardial infarction

Author:

Hou Qingbin1,Jiang JINping2,Na kun3,Zhang Xiaolin3,Liu Dan3,Jing Quanmin3,Yan Chenghui3,Han Yaling1

Affiliation:

1. Department of Internal medicine (Cardiovascular), the Second Clinical Medical College , Shanxi Medical University,Taiyuan

2. Department of Cardiology,Shengjing Hospital affiliated to China Medical University,Shenyang

3. State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute and Department of Cardiology, General Hospital of Northern Theater Command, Shenyang

Abstract

Abstract Both primary Sjogren’s syndrome (pSS) and acute myocardial infarction (AMI) are intricately linked to one another. However, their common mechanism is not fully understood. Herein, we examined the underlying network of molecular action associated with the development of this complication.datasets were downloaded from the GEO database, We performed enrichment and protein–protein interaction analyses and screened key genes. To confirm the diagnostic performance for these hub genes, we used external datasets. Transcription factor and microRNA regulatory networks were constructed for the validated hub genes. Finally, drug prediction and molecular docking validation were performed.We identified 51 commonDEGs, many of which were enriched in terms of Inflammation and immune response. five DEGs were found as key hub genes ( IGSF6、MMP9、S100A8, MNDA, and NCF2). They had high diagnostic performance in external datasets. Functional enrichment of these five hub genes showed that they were associated with the adaptive immune response.The Type 1 T helper cell showed the most association among all cell types related to AMI and pSS. we identified 27 common TFs and 20 identical TF-miRNAs. The drugs including Benzo、dexamethasone and NADP were predicted as potential therapeutic agents. Herein, we revealed common networks involving pSS and AMI etiologies. Knowledge of these networks and hub genes can enhance research into their associated mechanism and development of future robust therapy.

Publisher

Research Square Platform LLC

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