Corpus overview


MeSH Disease

Human Phenotype

Obesity (1)


gender (1)


There are no seroprevalence terms in the subcorpus

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    A New Model of SARS-CoV-2 Infection MESHD Based on (Hydroxy)Chloroquine Activity

    Authors: Robert J. Sheaff

    doi:10.1101/2020.08.02.232892 Date: 2020-08-02 Source: bioRxiv

    Chloroquine and hydroxychloroquine (H)CQ are well known anti-malarial drugs, while their use against COVID-19 is more controversial. (H)CQ activity was examined in tissue culture cells to determine if their anti-viral benefits or adverse effects might be due to altering host cell pathways. Metabolic analysis revealed (H)CQ inhibit oxidative phosphorylation in mitochondria, likely by sequestering protons needed to drive ATP synthase. This activity could cause cardiotoxicity MESHD because heart muscle relies on beta oxidation of fatty acids. However, it might also explain their therapeutic benefit against COVID-19. A new model of SARS-CoV-2 infection MESHD postulates virus enters host cell mitochondria and uses its protons for genome release. Oxidative phosphorylation is eventually compromised, so glycolysis is upregulated to maintain ATP levels. (H)CQ could prevent viral infection MESHD and/or slow its replication by sequestering these protons. In support of this model other potential COVID-19 therapeutics also targeted mitochondria, as did tobacco smoke, which may underlie smokers protection. The mitochondria of young people are naturally more adaptable and resilient, providing a rationale for their resistance to disease MESHD progression. Conversely, obesity MESHD obesity HP and diabetes could exacerbate disease MESHD severity by providing extra glucose to infected cells dependent on glycolysis. The description of (H)CQ function presented here, together with its implications for understanding SARS-CO-V2 infection MESHD, makes testable predictions about disease progression MESHD and identifies new approaches for treating COVID-19.

    Rational Design of the Remdesivir Binding Site in the RNA-dependent RNA Polymerase of SARS-CoV-2: Implications for Potential Resistance

    Authors: Aditya Padhi; Rohit Shukla; Timir Tripathi

    doi:10.1101/2020.06.27.174896 Date: 2020-06-29 Source: bioRxiv

    ABSTRACTSARS-CoV-2 is rapidly evolving with the continuous emergence of new mutations. There is no specific antiviral therapy for COVID-19, and the use of Remdesivir for treating COVID-19 will likely continue before clinical trials are completed. Due to the lengthening pandemic and evolving nature of the virus, predicting potential residues prone to mutations is crucial for the management of Remdesivir resistance. We used a rational ligand-based interface design complemented with mutational mapping to generate a total of 100,000 mutations and provide insight into the functional outcome of mutations in the Remdesivir-binding site in nsp12. After designing 56 residues in the Remdesivir binding site of nsp12, the designs retained 96-98% sequence identity, which suggests that SARS-CoV-2 attains resistance and develops further infectivity with very few mutations in the nsp12. We also identified affinity-attenuating Remdesivir binding designs of nsp12. Several mutants acquired decreased binding affinity with Remdesivir, which suggested drug resistance. These hotspot residues had a higher probability of undergoing selective mutations in the future to develop Remdesivir and related drug-based resistance. A comparison of 21 nsp12 Remdesivir-bound designs to the 13 EIDD-2801-bound nsp12 designs suggested that EIDD-2801 would be more effective in preventing the emergence of resistant mutations and against Remdesivir-resistance strains due to the restricted mutational landscape. Combined with the availability of more genomic data, our information on mutation repertoires is critical to guide scientists to rational structure-based drug discovery. Knowledge of the potential residues prone to mutation improves our understanding and management of drug resistance and disease MESHD pathogenesis.Competing Interest StatementThe authors have declared no competing interest.View Full Text

    Risk perception and Emotion evaluation of Health care workers varied during different periods of COVID-19: a repeated cross-sectional research

    Authors: Qianlan Yin; Tianya Hou; Ying Liu; Aibin Chen; Xiangrui Song; Wenpeng Cai; Guanghui Deng; Wei Dong

    doi:10.21203/ Date: 2020-05-30 Source: ResearchSquare

    Background Health care workers (HCWs) on the front line of the COVID-19 were facing greater risks than usual, and their perception of these risks could also be an important part of their anti-epidemic work. This study aimed to examine risk perception and negative emotions of during two periods of the COVID-19 and emphasized emotional intervention management of HCWs impacting the risk perceptions and self-protection and would provide plausible intervention points for the psychological aid under a stressful condition.Methods The current study was adapted a repeated cross-sectional research participated by 504 Chinese HCWs who were assigned to work at the current disease resistance MESHD line. The demographic information about gender TRANS, profession, and location were collected in the demographic questionnaire. Risk perception questionnaire was adapted for COVID-19 to assess risk perception and the Chinese version of emotional self-rating scale (PANAS) was used to evaluate HCWs’ negative emotions.Results Findings revealed the risk perception and negative emotions of HCWs varied in different gender TRANS, profession and the location, as well as in different periods of COVID-19. Besides, the levels of tension, fear, worry and risk perception were higher during Period 1 than they were during Periods 2 of COVID-19. Over the different periods, the predominated negative emotions of HCWs presented varied, but the positive relations to risk perception were consisted and could be a significant predictor of risk perception. Worry was found to be closely related to and a significant predictor of high-level risk perception in the period 1; whereas in the period 2 the predictive type of negative emotion was tension.Conclusion The significance of this research lies in its examination of risk perception and negative emotions of HCWs combating the COVID-19 during two periods of the pandemic. The findings showed both risk perception and negative emotions of HCWs were affected by the COVID-19 and underscored the importance of negative emotions as a significant factor for risk perception of Chinese HCWs enduring the great challenge of pandemic. To ensure safety and prevent the return of the pandemics, it would be better to monitor the risk perception and negative emotions of HCWs and emphasize the risk protection behaviors.

    System analysis and mathematical modeling of the disease MESHD caused by the 2019-nCoV coronavirus strain

    Authors: S N Kostarev; N A Tatarnikova; O V Kochetova; T G Sereda

    doi:10.21203/ Date: 2020-04-04 Source: ResearchSquare

    A particular problem at the beginning of the second millennium is the epidemic caused by coronaviruses. In 2002-2003, new strains of viruses appeared – SARS-CoV SARS, in 2012, MERS-CoV. In 2019-2020, the epidemic caused by the coronavirus strain 2019-nCoV, which belong to the Beta-CoV group, is a threat. Different types of coronaviruses infect humans, cats, birds, dogs, cattle, pigs and hares, bats, camels and other animals. Coronaviruses have a single-stranded RNA genome, which encodes 4–5 structural proteins, including proteins of the outer membrane, matrix and small membrane. The complete 2019-nCoV genome is stored online at GenBank: MN908947.3. Coronaviruses have some unique features in RNA transcription. The RNA minus chain serves as a matrix for the synthesis of both new genomic and subgenomic RNAs. To develop a model of human resistance to the disease MESHD caused by the coronavirus family, elements, connections and ways of protecting the Human-Virus-Environment system were identified. The destructive functions of sixteen non-structural and structural proteins of the strain 2019-nCoV are considered. Deterministic and statistical models of the development of the danger of infection MESHD of the cells have been developed. A parameterized system for protecting a person from coronavirus damage has been developed.

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MeSH Disease
Human Phenotype

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