Author：Naser A. Anjum

Abstract：

Journal：Life and Science of the Suspects

Publishing Time：preprint

DOI：10.20944/preprints202003.0410.v2

Author：Sai Krishna Gudi

Abstract：

Journal：International Journal of Occupational Medicine and Environmental Health

Publishing Time：2020;11:108-112

DOI：10.34172/ijoem.2020.1977

Author：Feng Zhang

Abstract：

Journal：medRxiv

Publishing Time：eprint

DOI：10.1101/2020.03.22.20041111

Author： Chen Ximeng

Abstract： 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 are 5 KEGG pathways, mainly interacting with tumor necrosis factor signaling pathway, 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 SREING 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 are 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.

Journal：Chinese Journal of Cardiology

Publishing Time：2020,48:E013-E013

DOI：10.3760/cma.j.cn112148-20200308-00172

Author： Wang Xia

Abstract： COVID-19 is an infectious disease caused by 2019-nCoV and characterizes as an atypical pneumonia. Since 2019-nCoV is a newly emerging virus, the pathogenesis of COVID-19 is not well known. Most patients had a self-limited course, and some became severe even death. In this review, the authors compared two coronavirus outbreaks during the past two decades: the SARS-CoV and 2019-nCoV. Among the biological nature of the pathogens, viral receptor distribution on the human cells, and the pathological findings in the targeted organs and clinical features of the patients with the diseases, found similarities and differences between the two diseases. Due to the shared receptor ACE2 and the pathological similarities of the SARS-CoV and 2019-nCoV diseases. They proposed a pathogenesis model for COVID-19. Like the SARS-CoV disease, COVID-19 is a systematic disease and targets the lungs, vasculatures, and the immune system. The basic pathogenesis involves two interlinked processes: a severe lung inflammation and immune deficiency, both of which are related to an inappropriate immune response and over-production of cytokines. Thus, treatment approaches should include antiviral and anti-proinflammatory cytokines, anti-infectious and life support therapies, especially in patients with severe diseases.

Journal：Chinese Journal of Pathology

Publishing Time：2020,49:E012-E012

DOI：10.3760/cma.j.cn112151-20200318-00220

Author：Kunal Dutta

Abstract：

Journal：Preprints

Publishing Time： 2020, 2020030395

DOI：10.20944/preprints202003.0395.v1

Author：Mekonnen Sisay

Abstract：

Journal：ResearchGate Preprint

Publishing Time：eprint

DOI：无

Author：

Abstract：

Journal：Educational Philosophy and Theory

Publishing Time：

DOI：10.1080/00131857.2020.1744226

Author：

Abstract：

Journal：Nature

Publishing Time：

DOI：10.1038/d41586-020-00927-3

Author：

Abstract：

Journal：Nature

Publishing Time：

DOI：10.1038/d41586-020-00869-w

Author：

Abstract：

Journal：Journal of medical virology

Publishing Time：

DOI：10.1002/jmv.25795

Author：

Abstract：

Journal：Nature

Publishing Time：

DOI：10.1038/d41586-020-00964-y

Author：

Abstract：

Journal：Retina

Publishing Time：

DOI：10.1097/iae.0000000000002816