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Frontiers in molecular biosciences ; 9, 2022.
Article in English | EuropePMC | ID: covidwho-1905153

ABSTRACT

There are still frequent reports that a number of recovered coronavirus disease 2019 (COVID-19) patients following discharge have re-detectable positive (RP) results by RT-PCR. Understanding the clinical and molecular characteristics of RP patients may have implications for curbing the COVID-19 pandemic. In this study, 318 COVID-19 convalescent patients, including 59 RP patients and 259 non-RP (NRP) patients, were enrolled. Among RP patients, women accounted for a significantly high proportion (67.8%), and the titers of IgG and IgM antibodies in this group were also significantly high. Differentially expressed genes (DEGs), including 692 upregulated and 383 downregulated genes, overlapped in two public GEO datasets containing RP and NRP blood cell samples. Enrichment analysis indicated that these DEGs were related to several key signaling pathways, such as viral infection, immune activation, and inflammatory responses. Importantly, 59 indicator genes constituting the core network exhibited high diagnostic values and were correlated with markers of different immune cells. Among these, 12 drug-related genes were associated with the RP results. Our work suggests that, in addition to clinically available features, blood cell transcriptome sequencing can be performed to obtain gene signatures for diagnosis of RP patients.

2.
Int J Biol Sci ; 17(8): 1925-1939, 2021.
Article in English | MEDLINE | ID: covidwho-1266906

ABSTRACT

Background: Angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) allow entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into host cells and play essential roles in cancer therapy. However, the functions of ACE2 and TMPRSS2 in kidney cancer remain unclear, especially as kidneys are targets for SARS-CoV-2 infection. Methods: UCSC Xena project, the Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO) databases (GSE30589 and GSE59185) were searched for gene expression in human tissues, gene expression data, and clinical information. Several bioinformatics methods were utilized to analyze the correlation between ACE2 and TMPRSS2 with respect to the prognosis of kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP). Results: ACE2 expression was significantly upregulated in tumor tissue, while its downregulation was associated with low survival in KIRC and KIRP patients. TMPRSS2 was downregulated in KIRC and KIRP, and its expression was not correlated with patient survival. According to clinical risk factor-based prediction models, ACE2 exhibits predictive accuracy for kidney cancer prognosis and is correlated with metabolism and immune infiltration. In an animal model, ACE2 expression was remarkably downregulated in SARS-CoV-2-infected cells compared to in the control. Conclusion: ACE2 expression is highly correlated with various metabolic pathways and is involved in immune infiltration.it plays a crucial role than TMPRSS2 in diagnosing and prognosis of kidney cancer patients. The overlap in ACE2 expression between kidney cancer and SARS-CoV-2 infection suggests that patients with KIRC or KIRP are at high risk of developing serious symptoms.


Subject(s)
Angiotensin-Converting Enzyme 2/biosynthesis , COVID-19/complications , Carcinoma, Renal Cell/complications , Kidney Neoplasms/complications , Receptors, Virus/biosynthesis , SARS-CoV-2 , Adult , Aged , Angiotensin-Converting Enzyme 2/genetics , Angiotensin-Converting Enzyme 2/physiology , Animals , Carcinoma, Renal Cell/immunology , Carcinoma, Renal Cell/metabolism , Carcinoma, Renal Cell/mortality , Chlorocebus aethiops , Down-Regulation , Drug Resistance, Neoplasm , Female , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Humans , Kaplan-Meier Estimate , Kidney Neoplasms/immunology , Kidney Neoplasms/metabolism , Kidney Neoplasms/mortality , Lymphocytes, Tumor-Infiltrating/immunology , Male , Middle Aged , Models, Animal , Neoplasm Proteins/biosynthesis , Neoplasm Proteins/genetics , Organ Specificity , Prognosis , Proportional Hazards Models , Receptors, Virus/genetics , Renin-Angiotensin System/physiology , Serine Endopeptidases/biosynthesis , Serine Endopeptidases/genetics , Serine Endopeptidases/physiology , Tissue Array Analysis , Vero Cells
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