Bioinformatics Analysis of the Influence of Coronavirus Infection on Hematopoietic System and Potential Intervention Drugs and Their Significance for COVID-19 / 中国实验血液学杂志

OBJECTIVE@#To analyze and predict the effect of coronavirus infection on hematopoietic system and potential intervention drugs, and explore their significance for coronavirus disease 2019 (COVID-19).@*METHODS@#The gene expression omnibus (GEO) database was used to screen the whole genome expression data related with coronavirus infection. The R language package was used for differential expression analysis and KEGG/GO enrichment analysis. The core genes were screened by PPI network analysis using STRING online analysis website. Then the self-developed apparent precision therapy prediction platform (EpiMed) was used to analyze diseases, drugs and related target genes.@*RESULTS@#A database in accordance with the criteria was found, which was derived from SARS coronavirus. A total of 3606 differential genes were screened, including 2148 expression up-regulated genes and 1458 expression down-regulated genes. GO enrichment mainly related with viral infection, hematopoietic regulation, cell chemotaxis, platelet granule content secretion, immune activation, acute inflammation, etc. KEGG enrichment mainly related with hematopoietic function, coagulation cascade reaction, acute inflammation, immune reaction, etc. Ten core genes such as PTPRC, ICAM1, TIMP1, CXCR5, IL-1B, MYC, CR2, FSTL1, SOX1 and COL3A1 were screened by protein interaction network analysis. Ten drugs with potential intervention effects, including glucocorticoid, TNF-α inhibitor, salvia miltiorrhiza, sirolimus, licorice, red peony, famciclovir, cyclosporine A, houttuynia cordata, fluvastatin, etc. were screened by EpiMed plotform.@*CONCLUSION@#SARS coronavirus infection can affect the hematopoietic system by changing the expression of a series of genes. The potential intervention drugs screened on these grounds are of useful reference significance for the basic and clinical research of COVID-19.

Exploration of omics mechanism and drug prediction of coronavirus-induced heart failure based on clinical bioinformatics / 中华心血管病杂志

Objective: Present study investigated the mechanism of heart failure associated with coronavirus infection and predicted potential effective therapeutic drugs against heart failure associated with coronavirus infection. Methods: Coronavirus and heart failure were searched in the Gene Expression Omnibus (GEO) and omics data were selected to meet experimental requirements. Differentially expressed genes were analyzed using the Limma package in R language to screen for differentially expressed genes. The two sets of differential genes were introduced into the R language cluster Profiler package for gene ontology (GO) and Kyoto gene and genome encyclopedia (KEGG) pathway enrichment analysis. Two sets of intersections were taken. A protein interaction network was constructed for all differentially expressed genes using STRING database and core genes were screened. Finally, the apparently accurate treatment prediction platform (EpiMed) independently developed by the team was used to predict the therapeutic drug. Results: The GSE59185 coronavirus data set was searched and screened in the GEO database, and divided into wt group, ΔE group, Δ3 group, Δ5 group according to different subtypes, and compared with control group. After the difference analysis, 191 up-regulated genes and 18 down-regulated genes were defined. The GEO126062 heart failure data set was retrieved and screened from the GEO database. A total of 495 differentially expressed genes were screened, of which 165 were up-regulated and 330 were down-regulated. Correlation analysis of differentially expressed genes between coronavirus and heart failure was performed. After cross processing, there were 20 GO entries, which were mainly enriched in virus response, virus defense response, type Ⅰ interferon response, γ interferon regulation, innate immune response regulation, negative regulation of virus life cycle, replication regulation of viral genome, etc. There were 5 KEGG pathways, mainly interacting with tumor necrosis factor (TNF) signaling pathway, interleukin (IL)-17 signaling pathway, cytokine and receptor interaction, Toll-like receptor signaling pathway, human giant cells viral infection related. All differentially expressed genes were introduced into the STRING online analysis website for protein interaction network analysis, and core genes such as signal transducer and activator of transcription 3, IL-10, IL17, TNF, interferon regulatory factor 9, 2'-5'-oligoadenylate synthetase 1, mitogen-activated protein kinase 3, radical s-adenosyl methionine domain containing 2, c-x-c motif chemokine ligand 10, caspase 3 and other genes were screened. The drugs predicted by EpiMed's apparent precision treatment prediction platform for disease-drug association analysis were mainly TNF-α inhibitors, resveratrol, ritonavir, paeony, retinoic acid, forsythia, and houttuynia cordata. Conclusions: The abnormal activation of multiple inflammatory pathways may be the cause of heart failure in patients after coronavirus infection. Resveratrol, ritonavir, retinoic acid, amaranth, forsythia, houttuynia may have therapeutic effects. Future basic and clinical research is warranted to validate present results and hypothesis.

An establishment of theoretical structure of PRO questionnaire in treating chronic liver disease by Chinese medicine / 中国中西医结合杂志

By reviewing research contents of patient-reported outcome (PRO) and discussing Chinese medicine (CM) theories related to chronic liver disease (CLD), we have followed international PRO questionnaire development specification, combined CM theories such as uniformed spirit and body, correspondence between human and the universe, yin in property and yang in function of Gan, and seven emotions, and constructed theoretical structure of PRO questionnaire of treating CLD, including four major areas as physiology, psychology, independence, and society and nature. Of them, the physiological field contained six aspects such as blood deficiency, yin deficiency, bleeding, disorder of qi movement, improper transformation and transportation of Pi-Wei, and abnormal biliary excretion. The psychological field contained two aspects: Gan-related emotions and general disease related emotions. The independence field contained two aspects: daily life and study and work. The field of society and nature contains three aspects: social relations, social environment, and natural adaptability.

Measurement of the reactive oxygen species and cytokines in the seminal plasma of leukocytospermic patients / 中华男科学杂志

<p><b>OBJECTIVES</b>To detect the levels of reactive oxygen species (ROS), superoxide dismutase(SOD) and interleukin 8(IL-8) in seminal plasma of infertile patients, and evaluate the possible relationship between those levels.</p><p><b>METHODS</b>Semen was collected from normal donors (15 cases), infertile men without infection (16 cases), and infertile men with infection (leukocytospermia, 11 cases). The routine analysis of semen was accomplished, and then the levels of IL-8, malondialdehyde (MDA), SOD, and white blood cell (WBC) were examined. The correlative analysis between the level of ROS and other parameters in these populations was made.</p><p><b>RESULTS</b>In leukocytospermic group, the levels of MDA, WBC, and IL-8 were higher than those in the other two groups (P < 0.001). Significantly positive correlation was observed between IL-8 and MDA (r = 0.852, P < 0.001) and between the levels of IL-8 and WBC.</p><p><b>CONCLUSIONS</b>These findings suggest that increased oxidative stress in patients with leukocytospermia may cause the increase of IL-8(r = 0.818, P < 0.01). The increased oxidative stress may be due to defect in ROS scavenging system.</p>