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1.
Yeungnam Univ J Med ; 38(4): 344-349, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1368041

ABSTRACT

BACKGRUOUND: Cancer patients have been disproportionally affected by the coronavirus disease 2019 (COVID-19) pandemic, with high rates of severe outcomes and mortality. Fever is the most common symptom in COVID-19 patients. During the COVID-19 pandemic, physicians may have difficulty in determining the cause of fever (COVID-19, another infection, or cancer fever) in cancer patients. Furthermore, there are no specific guidelines for managing cancer patients with fever during the COVID-19 pandemic. Thus, this study evaluated the clinical characteristics and outcomes of cancer patients with fever during the COVID-19 pandemic. METHODS: This study retrospectively reviewed the medical records of 328 cancer patients with COVID-19 symptoms (fever) admitted to five hospitals in Daegu, Korea from January to October 2020. We obtained data on demographics, clinical manifestations, laboratory test results, chest computed tomography images, cancer history, cancer treatment, and outcomes of all enrolled patients from electronic medical records. RESULTS: The most common COVID-19-like symptoms were fever (n=256, 78%). Among 256 patients with fever, only three (1.2%) were diagnosed with COVID-19. Most patients (253, 98.8%) with fever were not diagnosed with COVID-19. The most common solid malignancies were lung cancer (65, 19.8%) and hepatobiliary cancer (61, 18.6%). Twenty patients with fever experienced a delay in receiving cancer treatment. Eighteen patients discontinued active cancer treatment because of fever. Major events during the treatment delay period included death (2.7%), cancer progression (1.5%), and major organ dysfunction (2.7%). CONCLUSION: Considering that only 0.9% of patients tested for COVID-19 were positive, screening for COVID-19 in cancer patients with fever should be based on the physician's clinical decision, and patients might not be routinely tested.

2.
Proceedings for Annual Meeting of The Japanese Pharmacological Society ; 94(0):1-P2-36, 2021.
Article in English | J-STAGE | ID: covidwho-1145465
3.
Dev Growth Differ ; 63(3): 219-227, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1088005

ABSTRACT

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic as of early 2020. Upon infection, SARS-CoV-2 attaches to its receptor, that is, angiotensin-converting enzyme 2 (ACE2), on the surface of host cells and is then internalized into host cells via enzymatic machineries. This subsequently stimulates immune response factors. Since the host immune response and severity of COVID-19 vary among individuals, genetic risk factors for severe COVID-19 cases have been investigated. Our research group recently conducted a survey of genetic variants among SARS-CoV-2-interacting molecules across populations, noting near absence of difference in allele frequency spectrum between populations in these genes. Recent genome-wide association studies have identified genetic risk factors for severe COVID-19 cases in a segment of chromosome 3 that involves six genes encoding three immune-regulatory chemokine receptors and another three molecules. The risk haplotype seemed to be inherited from Neanderthals, suggesting genetic adaptation against pathogens in modern human evolution. Therefore, SARS-CoV-2 uses highly conserved molecules as its virion interaction, whereas its immune response appears to be genetically biased in individuals to some extent. We herein review the molecular process of SARS-CoV-2 infection as well as our further survey of genetic variants of its related immune effectors. We also discuss aspects of modern human evolution.


Subject(s)
Adaptive Immunity , COVID-19 , Evolution, Molecular , Genetic Variation , Host-Pathogen Interactions , SARS-CoV-2/genetics , Adaptive Immunity/genetics , Adaptive Immunity/immunology , Animals , COVID-19/epidemiology , COVID-19/genetics , COVID-19/immunology , Conserved Sequence , Genome-Wide Association Study , Host Adaptation/genetics , Host Adaptation/immunology , Host-Pathogen Interactions/genetics , Host-Pathogen Interactions/immunology , Humans , Pandemics , SARS-CoV-2/immunology , Sequence Analysis, RNA
4.
Infect Genet Evol ; 85: 104507, 2020 11.
Article in English | MEDLINE | ID: covidwho-731865

ABSTRACT

The COVID-19 pandemic highlighted healthcare disparities in multiple countries. As such morbidity and mortality vary significantly around the globe between populations and ethnic groups. Underlying medical conditions and environmental factors contribute higher incidence in some populations and a genetic predisposition may play a role for severe cases with respiratory failure. Here we investigated whether genetic variation in the key genes for viral entry to host cells-ACE2 and TMPRSS2-and sensing of viral genomic RNAs (i.e., TLR3/7/8) could explain the variation in incidence across diverse ethnic groups. Overall, these genes are under strong selection pressure and have very few nonsynonymous variants in all populations. Genetic determinant for the binding affinity between SARS-CoV-2 and ACE2 does not show significant difference between populations. Non-genetic factors are likely to contribute differential population characteristics affected by COVID-19. Nonetheless, a systematic mutagenesis study on the receptor binding domain of ACE2 is required to understand the difference in host-viral interaction across populations.


Subject(s)
Angiotensin-Converting Enzyme 2/genetics , SARS-CoV-2/physiology , Serine Endopeptidases/genetics , Toll-Like Receptors/genetics , Angiotensin-Converting Enzyme 2/chemistry , Angiotensin-Converting Enzyme 2/metabolism , Binding Sites , Humans , Mutagenesis, Site-Directed , Protein Binding , Protein Domains , Selection, Genetic , Serine Endopeptidases/metabolism , Toll-Like Receptor 3/chemistry , Toll-Like Receptor 3/genetics , Toll-Like Receptor 3/metabolism , Toll-Like Receptor 7/chemistry , Toll-Like Receptor 7/genetics , Toll-Like Receptor 7/metabolism , Toll-Like Receptor 8/chemistry , Toll-Like Receptor 8/genetics , Toll-Like Receptor 8/metabolism , Toll-Like Receptors/chemistry , Toll-Like Receptors/metabolism , Virus Internalization
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