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北京京煤集团总医院                                              第十届·2022 学术年会论文集


                    Exploration of potential biomarkers and mechanisms for COVID-19 and asthma based on

                                                    microarray analysis

                                     Yaning Gao1, Jian Li1*, Liang Chen1, Zhengjun Wen1
                                    1 Beijing Jingmei Group General Hospital, Beijing, China


                                             * Correspondence: jhhhcb@163.com;
                                             †These authors contributed equally.

                   Abstract: The aim of this study is to investigate the potential mechanisms of coronavirus disease

                   (COVID-19) and asthma comorbidities. GSE147507 and GSE143303 datasets were obtained from

                   the GEO database, the differential expressed genes (DEGs) were identified, and the overlapping

                   DEGs were obtained by determining the DEG intersection between the two datasets. A series of

                   analyses  of  the  shared  DEGs  were  performed,  including  enrichment  analysis,  PPI  network

                   construction, construction of TF/miRNA-gene interaction networks, and drug-gene and disease-

                   gene  interactions.  A  total  of  135  overlapping  DEGs  were  obtained  by  determining  the  DEGs

                   intersection  between  the  GSE147507  and  GSE143303  datasets.  These  overlapped  DEGs  were

                   significantly enriched in the regulation of DNA-templated transcription, initiation, clathrin-sculpted

                   gamma-aminobutyric acid transport vesicle, DNA binding, and eight KEGG pathways. The PPI
                   network revealed that HSPA8, SRSF1, NDUFAB1, PTEN, CCT8, HIST1H2BK, HIST2H2BE, DLAT,


                   EIF3G, and WAC, with high scores, were the hub genes. In addition, 65 TFs and 369 miRNAs
                   targeted overlapping DEGs. Finally, these overlapped DEGs were also related to other diseases,

                   such as hyperglycemia, metabolic acidosis, and lung neoplasm, and the top 10 drugs with the most

                   significant  potential  included  lanatoside  C,  digoxin,  GW-8510,  doxorubicin,  daunorubicin,

                   proscillaridin,  anisomycin,  helveticoside,  ouabain,  and  bisacodyl.  HSPA8,  SRSF1,  NDUFAB1,

                   PTEN, CCT8, HIST1H2BK, HIST2H2BE, DLAT, EIF3G, WAC, FOXC1, GATA2, hsa-miR-93-5p,

                   and hsa-miR-17-5p may play vital roles in COVID-19/asthma comorbidity. Lanatoside C, digoxin,

                   GW-8510,  doxorubicin,  daunorubicin,  proscillaridin,  anisomycin,  helveticoside,  ouabain,  and

                   bisacodyl may serve as drug targets against COVID-19/asthma comorbidity.

                   Keywords: COVID-19, asthma, protein–protein interaction network, microRNA, bioinformatics

                   analysis

                   1.  Introduction

                       Since the outbreak of coronavirus disease-2019 (COVID-19) towards the end of 2019, COVID-

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