The Pandemic situation caused due to SARS-CoV-2 causing Coronavirus Disease (CoVID-19) around globe. Recent, COVID-19 main protease complex (M pro), highly modulating enzyme in SARS-CoV-2 was reported for viral replication and transcription. This multifunctionality of M pro attracts for identi cation of potential drug target. Considering impact, In silico analysis was performed for Palmatine alkaloid against M pro. Naturally, present in Tinospora cordifolia, found effective against Cancer, HIV, viral infections, diabetics. In methods, physico-chemical analysis by ProtParam tool and Structure of M pro was predicted by SWISS-MODEL Workspace homology modeling server. Superimposition Structure and signi cant equal QMQE, QSQE values were found for eight highly similar templates. Structural assessment validation by Ramachandran plot (97.67% favoured), Local Quality estimate ratio (>0.6) and higher QMEAN score (y-axis). Further, docking was performed with validated M pro model by SwissDock server. Interaction with-8.281919 ΔG indicates reliable Interaction. Also, comparative docking reveals, most favoured Palmatine interaction. Thus, an attempt was made to nd potent inhibitor for SARS-CoV-2, as there is no promising and speci c anti-viral drug or vaccine available for prevention and treatment of infections. However, In Vitro studies are required. Toxicity studies reported against Palmatine for acute effect (135 mg/kg body weight) on mouse model LD 50.

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Background: A patient's infectivity is determined by the presence of the virus in different body fluids, secretions, and excreta. The persistence and clearance of viral RNA from different specimens of patients with 2019 novel coronavirus disease (COVID-19) remain unclear. This study analyzed the clearance time and factors influencing 2019 novel coronavirus (2019-nCoV) RNA in different samples from patients with COVID-19, providing further evidence to improve the management of patients during convalescence. Methods: The clinical data and laboratory test results of convalescent patients with COVID-19 who were admitted to from January 20, 2020 to February 10, 2020 were collected retrospectively. The reverse transcription polymerase chain reaction (RT-PCR) results for patients' oropharyngeal swab, stool, urine, and serum samples were collected and analyzed. Convalescent patients refer to recovered non-febrile patients without respiratory symptoms who had two successive (minimum 24 h sampling interval) negative RT-PCR results for viral RNA from oropharyngeal swabs. The effects of cluster of differentiation 4 (CD4)+ T lymphocytes, inflammatory indicators, and glucocorticoid treatment on viral nucleic acid clearance were analyzed. Results: In the 292 confirmed cases, 66 patients recovered after treatment and were included in our study. In total, 28 (42.4%) women and 38 men (57.6%) with a median age of 44.0 (34.0-62.0) years were analyzed. After in-hospital treatment, patients' inflammatory indicators decreased with improved clinical condition. The median time from the onset of symptoms to first negative RT-PCR results for oropharyngeal swabs in convalescent patients was 9.5 (6.0-11.0) days. By February 10, 2020, 11 convalescent patients (16.7%) still tested positive for viral RNA from stool specimens and the other 55 patients' stool specimens were negative for 2019-nCoV following a median duration of 11.0 (9.0-16.0) days after symptom onset. Among these 55 patients, 43 had a longer duration until stool specimens were negative for viral RNA than for throat swabs, with a median delay of 2.0 (1.0-4.0) days. Results for only four (6.9%) urine samples were positive for viral nucleic acid out of 58 cases; viral RNA was still present in three patients' urine specimens after throat swabs were negative. Using a multiple linear regression model (F = 2.669, P = 0.044, and adjusted R 2 = 0.122), the analysis showed that the CD4+ T lymphocyte count may help predict the duration of viral RNA detection in patients' stools (t = À2.699, P = 0.010). The duration of viral RNA detection from oropharyngeal swabs and fecal samples in the glucocorticoid treatment group was longer than that in the nonglucocorticoid treatment group (15 days vs. 8.0 days, respectively; t = 2.550, P = 0.013) and the duration of viral RNA detection in fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (20 days vs. 11 days, respectively; t = 4.631, P < 0.001). There was no statistically significant dif...

Background 24The COVID-19 pandemic caused by SARS-CoV-2 coronavirus threatens global public 25 health. Currently, neutralizing antibodies (NAbs) versus this virus are expected to 26 correlate with recovery and protection of this disease. However, the characteristics of 27 these antibodies have not been well studied in association with the clinical 28 manifestations in patients. 30 Methods 31Plasma collected from 175 COVID-19 recovered patients with mild symptoms were 32 screened using a safe and sensitive pseudotyped-lentiviral-vector-based neutralization 33 assay. Spike-binding antibody in plasma were determined by ELISA using RBD, S1, 34 and S2 proteins of SARS-CoV-2. The levels and the time course of SARS-CoV-2-35 specific NAbs and the spike-binding antibodies were monitored at the same time. 36 37 Findings 38 SARS-CoV-2 NAbs were unable to cross-reactive with SARS-CoV virus. SARS-CoV-39 2-specific NAbs were detected in patients from day 10-15 after the onset of the disease 40 and remained thereafter. The titers of NAb among these patients correlated with the 41 spike-binding antibodies targeting S1, RBD, and S2 regions. The titers of NAbs were 42 variable in different patients. Elderly and middle-age patients had significantly higher 43 plasma NAb titers (P<0.0001) and spike-binding antibodies (P=0.0003) than young 44 patients. Notably, among these patients, there were ten patients whose NAb titers were 45 under the detectable level of our assay (ID50: < 40); while in contrast, two patients, 46 showed very high titers of NAb, with ID50 :15989 and 21567 respectively. The NAb 47 titers were positive correlated with plasma CRP levels but negative correlated with the 48 lymphocyte counts of patients at the time of admission, indicating an association 49 between humoral response and cellular immune response.50 51 Interpretation 52The variations of SARS-CoV-2 specific NAbs in recovered COVID-19 patients may 53 raise the concern about the role of NAbs on disease progression. The correlation of 54 NAb titers with age, lymphocyte counts, and blood CRP levels suggested that the 55 interplay between virus and host immune response in coronavirus infections should be 56 further explored for the development of effective vaccine against SARS-CoV-2 virus. 57 Furthermore, titration of NAb is helpful prior to the use of convalescent plasma for 58 prevention or treatment. Sciences 64 65 66 67 All rights reserved. No reuse allowed without permission.

Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata).