CCCH-type zinc figure proteins (ZFP) are small cellular proteins that are structurally maintained by zinc ions. Zinc ions coordinate the protein structure in a tetrahedral geometry by binding to cystine-cystine or cysteines-histidine amino acids. ZFP's unique structure enables it to interact with a wide variety of molecules including RNA; thus, ZFP modulates several cellular processes including the host immune response and virus replication. CCCH-type ZFPs have shown their antiviral efficacy against several DNA and RNA viruses. However, their role in the human coronavirus is little explored. We hypothesized that ZFP36L1 also suppresses the human coronavirus. To test our hypothesis, we used OC43 human coronavirus (HCoV) strain in our study. We overexpressed and knockdown ZFP36L1 in HCT-8 cells using lentivirus transduction. Wild type, ZFP36L1 overexpressed, and ZFP36L1 knockdown cells were each infected with HCoV-OC43, and the virus titer in each cell line was measured over 96 hours post-infection (p.i.). Our results show that HCoV-OC43 replication was significantly reduced with ZFP36L1 overexpression while ZFP36L1 knockdown significantly enhanced virus replication. ZFP36L1 knockdown HCT-8 cells started producing infectious virus at 48 hours p.i. which was an earlier timepoint as compared to wild -type and ZFP36L1 overexpressed cells. Wild-type and ZFP36L1 overexpressed HCT-8 cells started producing infectious virus at 72 hours p.i. Overall, the current study showed that overexpression of ZFP36L1 suppressed human coronavirus (OC43) production.
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http://dx.doi.org/10.7717/peerj.14776 | DOI Listing |
BMC Public Health
January 2025
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
China witnessed an Omicron COVID-19 outbreak at the end of 2022. During this period, medical crowding and enormous pressure on the healthcare systems occurred, which might result in the occurrence of occupational burnout among healthcare workers (HCWs). This study aims to investigate the prevalence of occupational burnout and associated mental conditions, such as depressive symptoms, anxiety, PTSD symptoms, perceived social support, resilience, and mindfulness among HCWs of the Chinese mainland during the Omicron COVID-19 outbreak, and to explore the potential risk and protective factors influencing occupational burnout of HCWs.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, Minas Gerais, Brazil.
Background: Cirrhosis has been pointed out as a clinical entity that leads to worse clinical prognosis in COVID-19 patients. However, this concept is controversial in the literature. We aimed to evaluate clinical outcomes by comparing patients with cirrhosis to those without cirrhosis in a Brazilian cohort.
View Article and Find Full Text PDFCommun Biol
January 2025
Division of Microbiology, Faculty of Pharmaceutical Sciences, Tohoku Medical and Pharmaceutical University, 4-4-1, Komatsuhima, Aoba-ku, Sendai, Miyagi, 981-8558, Japan.
Future pandemic threats may be caused by novel coronaviruses and influenza A viruses. Here we show that when directly added to a cell culture, 12mer guanine RNA (G12) and its phosphorothioate-linked derivatives (G12(S)), rapidly entered cytoplasm and suppressed the propagation of human coronaviruses and influenza A viruses to between 1/100 and nearly 1/1000 of normal virus infectivity without cellular toxicity and induction of innate immunity. Moreover, G12(S) alleviated the weight loss caused by coronavirus infection in mice.
View Article and Find Full Text PDFRoutine use of genetic data in healthcare is much-discussed, yet little is known about its performance in epidemiological models including traditional risk factors. Using severe COVID-19 as an exemplar, we explore the integration of polygenic risk scores (PRS) into disease models alongside sociodemographic and clinical variables. PRS were optimized for 23 clinical variables and related traits previously-associated with severe COVID-19 in up to 450,449 UK Biobank participants, and tested in 9,560 individuals diagnosed in the pre-vaccination era.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. Experimental results based on reported data from China between January 1, and December 1, 2022, demonstrate that the proposed dynamics informed neural networks (DINNs) method can accurately learn the dynamics and predict future states.
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