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基于生物信息学的 SARS-CoV-2 感染与特发性肺纤维化(IPF)疾病之间遗传影响的研究,以及药物再利用。

Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing.

机构信息

Bioinformatics Lab(Dry), Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.

School of Business, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.

出版信息

Sci Rep. 2023 Mar 22;13(1):4685. doi: 10.1038/s41598-023-31276-6.

Abstract

Some recent studies showed that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and idiopathic pulmonary fibrosis (IPF) disease might stimulate each other through the shared genes. Therefore, in this study, an attempt was made to explore common genomic biomarkers for SARS-CoV-2 infections and IPF disease highlighting their functions, pathways, regulators and associated drug molecules. At first, we identified 32 statistically significant common differentially expressed genes (cDEGs) between disease (SARS-CoV-2 and IPF) and control samples of RNA-Seq profiles by using a statistical r-package (edgeR). Then we detected 10 cDEGs (CXCR4, TNFAIP3, VCAM1, NLRP3, TNFAIP6, SELE, MX2, IRF4, UBD and CH25H) out of 32 as the common hub genes (cHubGs) by the protein-protein interaction (PPI) network analysis. The cHubGs regulatory network analysis detected few key TFs-proteins and miRNAs as the transcriptional and post-transcriptional regulators of cHubGs. The cDEGs-set enrichment analysis identified some crucial SARS-CoV-2 and IPF causing common molecular mechanisms including biological processes, molecular functions, cellular components and signaling pathways. Then, we suggested the cHubGs-guided top-ranked 10 candidate drug molecules (Tegobuvir, Nilotinib, Digoxin, Proscillaridin, Simeprevir, Sorafenib, Torin 2, Rapamycin, Vancomycin and Hesperidin) for the treatment against SARS-CoV-2 infections with IFP diseases as comorbidity. Finally, we investigated the resistance performance of our proposed drug molecules compare to the already published molecules, against the state-of-the-art alternatives publicly available top-ranked independent receptors by molecular docking analysis. Molecular docking results suggested that our proposed drug molecules would be more effective compare to the already published drug molecules. Thus, the findings of this study might be played a vital role for diagnosis and therapies of SARS-CoV-2 infections with IPF disease as comorbidity risk.

摘要

一些最新的研究表明,严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染和特发性肺纤维化(IPF)疾病可能通过共享基因相互刺激。因此,在这项研究中,我们试图通过探索 SARS-CoV-2 感染和 IPF 疾病的常见基因组生物标志物来突出它们的功能、途径、调节剂和相关药物分子。首先,我们使用统计 r 包(edgeR)从 RNA-Seq 图谱的疾病(SARS-CoV-2 和 IPF)和对照样本中鉴定了 32 个具有统计学意义的共同差异表达基因(cDEGs)。然后,我们通过蛋白质-蛋白质相互作用(PPI)网络分析检测到 32 个 cDEGs 中的 10 个 cHubGs(CXCR4、TNFAIP3、VCAM1、NLRP3、TNFAIP6、SELE、MX2、IRF4、UBD 和 CH25H)。cHubGs 调控网络分析检测到少数关键 TFs-蛋白质和 miRNA 作为 cHubGs 的转录和转录后调节剂。cDEGs 集富集分析确定了一些关键的 SARS-CoV-2 和 IPF 引起的共同分子机制,包括生物过程、分子功能、细胞成分和信号通路。然后,我们建议使用 cHubGs 指导的前 10 种候选药物分子(替比夫定、尼洛替尼、地高辛、普斯卡林、西美瑞韦、索拉非尼、Torin 2、雷帕霉素、万古霉素和橙皮苷)治疗伴有 IPF 疾病的 SARS-CoV-2 感染。最后,我们通过分子对接分析研究了与已发表分子相比,我们提出的药物分子对现有最佳独立受体的耐药性能。分子对接结果表明,与已发表的药物分子相比,我们提出的药物分子可能更有效。因此,这项研究的结果可能对诊断和治疗伴有 IPF 疾病的 SARS-CoV-2 感染具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7853/10033822/1e46c7a5135d/41598_2023_31276_Fig1_HTML.jpg

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