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  1. Article ; Online: Novel coronavirus SARS-CoV-2 (Covid-19) dynamics inside the human body.

    Saha, Asit / Saha, Barsha

    Reviews in medical virology

    2020  Volume 30, Issue 5, Page(s) e2140

    Abstract: A knowledge-based cybernetic framework model representing the dynamics of SARS-CoV-2 ... model was constructed involving type-I cells, type-II cells, SARS-CoV-2 virus, inflammatory mediators ... a therapeutic approach to Covid-19 disease. A time-dependent nonlinear system of ordinary differential equations ...

    Abstract A knowledge-based cybernetic framework model representing the dynamics of SARS-CoV-2 inside the human body has been studied analytically and in silico to explore the pathophysiologic regulations. The following modeling methodology was developed as a platform to introduce a predictive tool supporting a therapeutic approach to Covid-19 disease. A time-dependent nonlinear system of ordinary differential equations model was constructed involving type-I cells, type-II cells, SARS-CoV-2 virus, inflammatory mediators, interleukins along with host pulmonary gas exchange rate, thermostat control, and mean pressure difference. This formalism introduced about 17 unknown parameters. Estimating these unknown parameters requires a mathematical association with the in vivo sparse data and the dynamic sensitivities of the model. The cybernetic model can simulate a dynamic response to the reduced pulmonary alveolar gas exchange rate, thermostat control, and mean pressure difference under a very critical condition based on equilibrium (steady state) values of the inflammatory mediators and system parameters. In silico analysis of the current cybernetical approach with system dynamical modeling can provide an intellectual framework to help experimentalists identify more active therapeutic approaches.
    MeSH term(s) Acute-Phase Proteins/antagonists & inhibitors ; Acute-Phase Proteins/genetics ; Acute-Phase Proteins/immunology ; Angiotensin-Converting Enzyme 2 ; Anti-Inflammatory Agents/therapeutic use ; Antiviral Agents/therapeutic use ; Betacoronavirus/drug effects ; Betacoronavirus/growth & development ; Betacoronavirus/pathogenicity ; Body Temperature ; COVID-19 ; Coronavirus Infections/drug therapy ; Coronavirus Infections/immunology ; Coronavirus Infections/pathology ; Coronavirus Infections/virology ; Cytokines/antagonists & inhibitors ; Cytokines/genetics ; Cytokines/immunology ; Epithelial Cells/drug effects ; Epithelial Cells/immunology ; Epithelial Cells/virology ; Gene Expression Regulation ; Host-Pathogen Interactions/drug effects ; Host-Pathogen Interactions/genetics ; Host-Pathogen Interactions/immunology ; Humans ; Lung/drug effects ; Lung/immunology ; Lung/virology ; Macrophages, Alveolar/drug effects ; Macrophages, Alveolar/immunology ; Macrophages, Alveolar/virology ; Nonlinear Dynamics ; Pandemics ; Peptidyl-Dipeptidase A/genetics ; Peptidyl-Dipeptidase A/immunology ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/immunology ; Pneumonia, Viral/pathology ; Pneumonia, Viral/virology ; Pulmonary Gas Exchange/drug effects ; Pulmonary Gas Exchange/immunology ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus/antagonists & inhibitors ; Spike Glycoprotein, Coronavirus/genetics ; Spike Glycoprotein, Coronavirus/immunology
    Chemical Substances Acute-Phase Proteins ; Anti-Inflammatory Agents ; Antiviral Agents ; Cytokines ; Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2 ; Peptidyl-Dipeptidase A (EC 3.4.15.1) ; ACE2 protein, human (EC 3.4.17.23) ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
    Keywords covid19
    Language English
    Publishing date 2020-07-19
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1086043-5
    ISSN 1099-1654 ; 1052-9276
    ISSN (online) 1099-1654
    ISSN 1052-9276
    DOI 10.1002/rmv.2140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Novel coronavirus SARS‐CoV ‐2 (Covid‐19) dynamics inside the human body

    Saha, Asit / Saha, Barsha

    Reviews in Medical Virology

    2020  Volume 30, Issue 5

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1086043-5
    ISSN 1099-1654 ; 1052-9276
    ISSN (online) 1099-1654
    ISSN 1052-9276
    DOI 10.1002/rmv.2140
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Novel coronavirus SARS-CoV-2 (Covid-19) dynamics inside the human body

    Saha, Asit / Saha, Barsha

    Rev Med Virol

    Abstract: A knowledge-based cybernetic framework model representing the dynamics of SARS-CoV-2 ... model was constructed involving type-I cells, type-II cells, SARS-CoV-2 virus, inflammatory mediators ... a therapeutic approach to Covid-19 disease. A time-dependent nonlinear system of ordinary differential equations ...

    Abstract A knowledge-based cybernetic framework model representing the dynamics of SARS-CoV-2 inside the human body has been studied analytically and in silico to explore the pathophysiologic regulations. The following modeling methodology was developed as a platform to introduce a predictive tool supporting a therapeutic approach to Covid-19 disease. A time-dependent nonlinear system of ordinary differential equations model was constructed involving type-I cells, type-II cells, SARS-CoV-2 virus, inflammatory mediators, interleukins along with host pulmonary gas exchange rate, thermostat control, and mean pressure difference. This formalism introduced about 17 unknown parameters. Estimating these unknown parameters requires a mathematical association with the in vivo sparse data and the dynamic sensitivities of the model. The cybernetic model can simulate a dynamic response to the reduced pulmonary alveolar gas exchange rate, thermostat control, and mean pressure difference under a very critical condition based on equilibrium (steady state) values of the inflammatory mediators and system parameters. In silico analysis of the current cybernetical approach with system dynamical modeling can provide an intellectual framework to help experimentalists identify more active therapeutic approaches.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #848179
    Database COVID19

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  4. Article: Hydroxychloroquine in patients with novel coronavirus infection (COVID-19): a case-control study.

    Kamalov, A A / Mareev, V Yu / Orlova, Ya A / Plisyk, A G / Akopyan, Z A / Mareev, Yu V / Mershina, E A / Begrambekova, Yu L / Pakhomov, P V

    Kardiologiia

    2021  Volume 61, Issue 2, Page(s) 28–39

    Abstract: ... in the control group) with confirmed COVID-19 (SARS-CoV-2 virus RNA was detected in 26 of 73 in the control group (35.6 ... towards similar dynamics continued. HCQ treatment slowed down the time to normalization of body temperature by 1.8 ... Actuality One of the most widely discussed treatments for patients with COVID-19, especially ...

    Abstract Actuality One of the most widely discussed treatments for patients with COVID-19, especially at the beginning of the epidemy, was the use of the antimalarial drug hydroxychloroquine (HCQ). The first small non-randomized trials showed the ability of HCQ and its combination with azithromycin to accelerate the elimination of the virus and ease the acute phase of the disease. Later, large, randomized trials did not confirm it (RECOVERY, SOLIDARITY). This study is a case-control study in which we compared patients who received and did not receive HCQ.Material and Methods 103 patients (25 in the HCQ treatment group and 78 in the control group) with confirmed COVID-19 (SARS-CoV-2 virus RNA was detected in 26 of 73 in the control group (35.6%) and in 10 of 25 (40%) in the HCQ group) and in the rest - a typical picture of viral pneumonia on multislice computed tomography [MSCT]) were included in the analysis. The severity of lung damage was limited to stages I-II, the CRP level should not exceed 60 mg/dL, and oxygen saturation in the air within 92-98%. We planned to analysis the duration of treatment of patients in the hospital, the days until the normalization of body temperature, the number of points according to the original SHOCS-COVID integral scale, and changes in its components (C-reactive protein (CRP), D-dimer, and the percentage of lung damage according to MSCT).Results Analysis for the whole group revealed a statistically significant increase in the time to normalization of body temperature from 4 to 7 days (by 3 days, p<0.001), and the duration of hospitalization from 9.4 to 11.8 days (by 2.4 days, p=0.002) when using HCQ in comparison with control. Given the incomplete balance of the groups, the main analysis included 46 patients who were matched by propensity score matching. The trend towards similar dynamics continued. HCQ treatment slowed down the time to normalization of body temperature by 1.8 days (p=0.074) and lengthened the hospitalization time by 2.1 days (p=0.042). The decrease in scores on the SHOCS -COVID scale was statistically significant in both groups, and there were no differences between them (delta - 3.00 (2.90) in the HCQ group and - 2.69 (1.55) in control, p=0.718). At the same time, in the control group, the CRP level returned to normal (4.06 mg/dl), and with the use of GC, it decreased but remained above the norm (6.21 mg/dl, p=0.05). Side effects requiring discontinuation of treatment were reported in 3 patients in the HCQ group and none in the control group.Conclusion We have not identified any positive properties of HCQ and its ability to influence the severity of COVID-19. This antimalarial agent slows down the normalization of the body's inflammatory response and lengthens the time spent in the hospital. HCQ should not be used in the treatment of COVID-19.
    MeSH term(s) COVID-19/drug therapy ; Case-Control Studies ; Coronavirus Infections ; Humans ; Hydroxychloroquine ; SARS-CoV-2 ; Treatment Outcome
    Chemical Substances Hydroxychloroquine (4QWG6N8QKH)
    Language English
    Publishing date 2021-03-02
    Publishing country Russia (Federation)
    Document type Journal Article
    ZDB-ID 131029-x
    ISSN 0022-9040
    ISSN 0022-9040
    DOI 10.18087/cardio.2021.2.n1548
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  5. Article ; Online: Disease state prediction for 2019 novel coronavirus (COVID-19) pneumonia using CT manifestations and body temperature dynamic analysis: A SQUIRE-compliant study.

    Liang, Pan / Wang, Rui / Ren, Xiu-Chun / Huang, Wen-Peng / Gao, Jian-Bo

    Medicine

    2021  Volume 100, Issue 27, Page(s) e25938

    Abstract: Abstract: 2019 Novel Coronavirus (COVID-19) is a new acute infectious disease ... Dynamic analysis of CT manifestations and body temperature have the potential to predict the severity of COVID-19 ... and body temperature.This retrospective review included 22 patients with COVID-19 pneumonia ...

    Abstract Abstract: 2019 Novel Coronavirus (COVID-19) is a new acute infectious disease of respiratory system, posed a great threat to human health because of its strong infectivity and rapid progress. This study aimed to assess the severity of COVID-19 Pneumonia by analyzing the change of CT manifestations and body temperature.This retrospective review included 22 patients with COVID-19 pneumonia. The imaging manifestations and clinical features were observed and evaluated.Most of the infected patients were men (13/22, 59%). Fever (>38°C) (17/22, 77%) and cough (6/22, 27%) were the main symptoms. Leukocytes count decreased in 23% of patients and lymphocyte decreased in 41%. Twenty-one patients with pneumonia had abnormal findings on chest CT. The special CT manifestations were observed at the first CT examination when the lesions progressed, including a single ground glass nodule with uneven density, multiple ground glass opacities distributed in subpleural, and the ground glass opacities confined in superior lobe. The special CT manifestations were observed at the first CT examination when the lesions resolved, including ground glass opacities with homogeneous density. The lesion involved in the bilateral lungs and the absorption of the lesions mainly occurred in bilateral inferior lobes. Three patients had normalized body temperature increased more than 1°C within 1 to 2 days after admission. Ten patients fluctuated more than 1°C within 1 to 7 days after admission and the second CT scans showed the disease was at the progressive stage.Dynamic analysis of CT manifestations and body temperature have the potential to predict the severity of COVID-19 pneumonia.
    MeSH term(s) Adult ; Aged ; Body Temperature/physiology ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/physiopathology ; Disease Progression ; Female ; Humans ; Lung/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Predictive Value of Tests ; Retrospective Studies ; Risk Factors ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2021-07-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000025938
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