Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence
    displaying 1 - 10 records in total 364
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    Effect of Convalescent Plasma SERO on Mortality among Hospitalized Patients with COVID-19: Initial Three-Month Experience

    Authors: Michael J Joyner; Jonathon W Senefeld; Stephen A Klassen; John R Mills; Patrick W Johnson; Elitza S Theel; Chad C Wiggins; Katelyn A Bruno; Allan M Klompas; Elizabeth R Lesser; Katie L Kunze; Matthew A Sexton; Juan C Diaz Soto; Sarah E Baker; John R.A. Shepherd; Noud van Helmond; Camille M van Buskirk; Jeffrey L Winters; James R Stubbs; Robert F Rea; David O Hodge; Vitaly Herasevich; Emily R Whelan; Andrew J Clayburn; Kathryn F Larson; Juan G Ripoll; Kylie J Andersen; Matthew R Buras; Matthew N.P. Vogt; Joshua J Dennis; Riley J Regimbal; Philippe R Bauer; Janis E Blair; Nigel S Paneth; DeLisa Fairweather; R. Scott Wright; Rickey E Carter; Arturo Casadevall

    doi:10.1101/2020.08.12.20169359 Date: 2020-08-12 Source: medRxiv

    Importance: Passive antibody SERO transfer is a longstanding treatment strategy for infectious diseases MESHD that involve the respiratory system. In this context, human convalescent plasma SERO has been used to treat coronavirus disease MESHD 2019 (COVID-19), but the efficacy remains uncertain. Objective: To explore potential signals of efficacy of COVID-19 convalescent plasma SERO. Design: Open-label, Expanded Access Program (EAP) for the treatment of COVID-19 patients with human convalescent plasma SERO. Setting: Multicenter, including 2,807 acute care facilities in the US and territories. Participants: Adult TRANS participants enrolled and transfused under the purview of the US Convalescent Plasma SERO EAP program between April 4 and July 4, 2020 who were hospitalized with (or at risk of) severe or life threatening acute COVID-19 respiratory syndrome MESHD. Intervention: Transfusion of at least one unit of human COVID-19 convalescent plasma SERO using standard transfusion guidelines at any time during hospitalization. Convalescent plasma SERO was donated by recently-recovered COVID-19 survivors, and the antibody SERO levels in the units collected were unknown at the time of transfusion. Main Outcomes and Measures: Seven and thirty-day mortality. Results: The 35,322 transfused patients had heterogeneous demographic and clinical characteristics. This cohort included a high proportion of critically-ill patients, with 52.3% in the intensive care unit (ICU) and 27.5% receiving mechanical ventilation at the time of plasma SERO transfusion. The seven-day mortality rate was 8.7% [95% CI 8.3%-9.2%] in patients transfused within 3 days of COVID-19 diagnosis but 11.9% [11.4%-12.2%] in patients transfused 4 or more days after diagnosis (p<0.001). Similar findings were observed in 30-day mortality (21.6% vs. 26.7%, p<0.0001). Importantly, a gradient of mortality was seen in relation to IgG antibody SERO levels in the transfused plasma SERO. For patients who received high IgG plasma SERO (>18.45 S/Co), seven-day mortality was 8.9% (6.8%, 11.7%); for recipients of medium IgG plasma SERO (4.62 to 18.45 S/Co) mortality was 11.6% (10.3%, 13.1%); and for recipients of low IgG plasma SERO (<4.62 S/Co) mortality was 13.7% (11.1%, 16.8%) (p=0.048). This unadjusted dose-response relationship with IgG was also observed in thirty-day mortality (p=0.021). The pooled relative risk of mortality among patients transfused with high antibody SERO level plasma SERO units was 0.65 [0.47-0.92] for 7 days and 0.77 [0.63-0.94] for 30 days compared to low antibody SERO level plasma SERO units. Conclusions and Relevance: The relationships between reduced mortality and both earlier time to transfusion and higher antibody SERO levels provide signatures of efficacy for convalescent plasma SERO in the treatment of hospitalized COVID-19 patients. This information may be informative for the treatment of COVID-19 and design of randomized clinical trials involving convalescent plasma SERO. Trial Registration: ClinicalTrials.gov Identifier: NCT04338360

    Low awareness of past SARS-CoV-2 infection MESHD in healthy adults TRANS

    Authors: Katja van den Hurk; Eva-Maria Merz; Femmeke J. Prinsze; Marloes L.C. Spekman; Franke A. Quee; Steven Ramondt; Ed Slot; Hans Vrielink; Elisabeth M.J. Huis in 't Veld; Hans L. Zaaijer; Boris M. Hogema

    doi:10.1101/2020.08.10.20171561 Date: 2020-08-12 Source: medRxiv

    Background The coronavirus disease MESHD 2019 (COVID-19) pandemic challenges governments worldwide to balance appropriate virus control measures and their societal and economic consequences. These control measures include the identification, isolation and testing of potentially infected individuals. As this relies on an individual's awareness of infection MESHD, we investigated the extent to which healthy adults TRANS suspected having had COVID-19, and how COVID-19 suspicion and symptoms relate to antibodies SERO indicative of a past infection MESHD infection with the severe HP with the severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2). Methods and findings Individuals donating plasma SERO anywhere in the Netherlands between May 11th and 18th were screened for total SARS-CoV-2 antibodies SERO using ELISA SERO and invited to participate in an online questionnaire about COVID-19-related symptoms and awareness. Antibody SERO and questionnaire data were complete for 3,676 individuals, including 239 (6.5%) that tested positive for SARS-CoV-2 antibodies SERO. Here, we show that a 38% of the individuals that tested positive for SARS-CoV-2 antibodies SERO reported having had no or only very mild symptoms at any time during the peak of the epidemic. The loss of taste and/or smell in particular was significantly associated with seropositivity, independent of age TRANS and sex. Forty-eight percent of antibody SERO-positive persons did not suspect having had COVID-19, in spite of most of them reporting symptoms. Conclusions Awareness of infection MESHD was low among individuals that tested positive for SARS-CoV-2 antibodies SERO, even at the peak of the epidemic. Improved awareness and recognition of COVID-19 symptoms and tracing TRANS of asymptomatic TRANS contacts is crucial to halting SARS-CoV-2 transmission TRANS.

    Rapid Detection of SARS-CoV-2 Antibodies SERO Using Electrochemical Impedance-Based Detector

    Authors: Mohamed Z. Rashed; Jonathan A. Kopecheck; Mariah C. Priddy; Krystal T. Hamorsky; Kenneth E. Palmer; Nikhil Mittal; Joseph Valdez; Joseph Flynn; Stuart Williams

    doi:10.1101/2020.08.10.20171652 Date: 2020-08-11 Source: medRxiv

    Emerging novel human contagious viruses and pathogens put humans at risk of hospitalization and possibly death MESHD due to the unavailability of vaccines and drugs which may take years to develop. Coronavirus disease MESHD (COVID-19) caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) was classified as a pandemic by the World Health Organization and has caused over 550,000 deaths MESHD worldwide as of July 2020. Accurate and scalable point-of-care devices would increase screening, diagnosis, and monitoring of COVID-19 patients. Here, we demonstrate rapid label-free electrochemical detection of SARS-CoV-2 antibodies SERO using a commercially available impedance sensing platform. A 16-well plate containing sensing electrodes was pre-coated with receptor binding domain (RBD) of SARS-CoV-2 spike protein, and subsequently tested with samples of anti-SARS-CoV-2 monoclonal antibody SERO CR3022 (0.1 g/ml, 1.0 g/ml, 10 g/ml). Subsequent blinded testing was performed on six serum SERO specimens taken from COVID-19 and non-COVID-19 patients (1:100 dilution factor). The platform was able to differentiate spikes in impedance measurements from a negative control (1% milk solution) for all CR3022 samples. Further, successful differentiation and detection of all positive clinical samples from negative control was achieved. Measured impedance values were consistent when compared to standard ELISA SERO test results showing a strong correlation between them (R2 = 0:9). Detection occurs in less than five minutes and the well-based platform provides a simplified and familiar testing interface that can be readily adaptable for use in clinical settings.

    A Large-Scale Clinical Validation Study Using nCapp Cloud Plus Terminal by Frontline Doctors for the Rapid Diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP in China

    Authors: Dawei Yang; Tao Xu; Xun Wang; Deng Chen; Ziqiang Zhang; Lichuan Zhang; Jie Liu; Kui Xiao; Li Bai; Yong Zhang; Lin Zhao; Lin Tong; Chaomin Wu; Yaoli Wang; Chunling Dong; Maosong Ye; Yu Xu; Zhenju Song; Hong Chen; Jing Li; Jiwei Wang; Fei Tan; Hai Yu; Jian Zhou; Jinming Yu; Chunhua Du; Hongqing Zhao; Yu Shang; Linian Huang; Jianping Zhao; Yang Jin; Charles A. Powell; Yuanlin Song; Chunxue Bai

    doi:10.1101/2020.08.07.20163402 Date: 2020-08-11 Source: medRxiv

    Background The outbreak of coronavirus disease MESHD 2019 (COVID-19) has become a global pandemic acute infectious disease MESHD, especially with the features of possible asymptomatic TRANS carriers TRANS and high contagiousness. It causes acute respiratory distress HP syndrome MESHD and results in a high mortality rate if pneumonia MESHD pneumonia HP is involved. Currently, it is difficult to quickly identify asymptomatic TRANS cases or COVID-19 patients with pneumonia MESHD pneumonia HP due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease TRANS disease MESHD at the community level, and contributes to the overwhelming of medical resources in intensive care units. Goal This study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic TRANS COVID-19 patients and cases who had a false-negative RT-PCR test result. Methods With online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic TRANS cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. Findings We applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: 'Residing or visiting history in epidemic regions', 'Exposure history to COVID-19 patient', 'Dry cough MESHD cough HP', ' Fatigue MESHD Fatigue HP', 'Breathlessness', 'No body temperature decrease after antibiotic treatment', 'Fingertip blood SERO oxygen saturation<=93%', ' Lymphopenia MESHD Lymphopenia HP', and 'C-reactive protein (CRP) increased'. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity SERO of the model, we used a cutoff value of 0.09. The sensitivity SERO and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity SERO and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey 'Questionnaire Star' showed that 90.9% of nCapp users in WeChat mini programs were 'satisfied' or 'very satisfied' with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for 'availability and sharing convenience of the App' and 'fast speed of log-in and data entry'. Discussion With the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic TRANS patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission TRANS of the disease from asymptomatic MESHD asymptomatic TRANS patients at the community level.

    Cardiac involvement in COVID-19 patients: mid-term follow up by cardiac magnetic resonance imaging

    Authors: Hui Wang; Ruili Li; Hong Jiang; Zixu Yan; Xinyan Tao; Hongjun Li; Lei Xu

    doi:10.21203/rs.3.rs-57104/v1 Date: 2020-08-11 Source: ResearchSquare

    Background: Coronavirus disease MESHD 2019 (COVID-19) induces myocardial injury, either direct myocarditis MESHD myocarditis HP or indirect injury due to systemic inflammatory response. Myocardial involvement has been proved to be one of the primary manifestations of COVID-19 infection MESHD, according to laboratory test, autopsy, and cardiac magnetic resonance imaging (CMRI). However, the middle-term outcome of cardiac involvement after the patients were discharged from the hospital is yet unknown. The present study aimed to evaluate mid-term cardiac sequelae in recovered COVID-19 patients by CMRIMethods: A total of 47 recovered COVID-19 patients were prospectively recruited and underwent CMRI examination in this study. The CMRI protocol consisted of black blood SERO fat-suppressed T2 weighted imaging (BB-T2WI), T2 star mapping, left ventricle cine imaging, pre- and post-contrast T1 mapping, and late gadolinium enhancement (LGE). Myocardium edema MESHD edema HP and LGE were assessed in recovered COVID-19 patients. The left ventricle (LV) and right ventricle (RV) function and LV mass were assessed and compared with normal controls.Results: Finally, 44 recovered COVID-19 patients and 31 normal controls were included in this study. No edema MESHD edema HP was observed in any patient. LGE was found in 13 patients. All LGE lesions were located in the middle myocardium and/or sub-epicardium with a scattered distribution. Further analysis showed that LGE-positive patients had significantly decreased left ventricle peak global circumferential strain (LVpGCS), right ventricle peak global circumferential strain (RVpGCS), right ventricle peak global longitudinal strain (RVpGLS) as compared to non-LGE patients (p<0.05), while no difference was detected between the non-LGE patients and normal controls.Conclusion: Myocardium injury existed in about 30% of COVID-19 patients. These patients had peak right ventricle strain that decreased at the 3-month follow-up. Cardiac MRI can monitor the COVID-19-induced myocarditis MESHD myocarditis HP progression, and CMR strain analysis is a sensitive tool to evaluate the recovery of left ventricle circumferential contraction dysfunction and right ventricular MESHD dysfunction.

    SARS-CoV-2 infection MESHD, neuropathogenesis and transmission TRANS among deer mice: Implications for reverse zoonosis MESHD to New World rodents

    Authors: Anna Fagre; Juliette Lewis; Miles Eckley; Shijun Zhan; Savannah M Rocha; Nicole R Sexton; Bradly Burke; Brian J Geiss; Olve Peersen; Rebekah Kading; Joel Rovnak; Gregory D Ebel; Ronald B Tjalkens; Tawfik Aboellail; Tony Schountz

    doi:10.1101/2020.08.07.241810 Date: 2020-08-07 Source: bioRxiv

    Coronavirus disease MESHD-19 (COVID-19) emerged in November, 2019 in China and rapidly became pandemic. As with other coronaviruses, a preponderance of evidence suggests the virus originated in horseshoe bats (Rhinolophus spp.) and likely underwent a recombination event in an intermediate host prior to entry into human populations. A significant concern is that SARS-CoV-2 could become established in secondary reservoir hosts outside of Asia. To assess this potential, we challenged deer mice (Peromyscus maniculatus) with SARS-CoV-2 and found robust virus replication in the upper respiratory tract, lungs and intestines, with detectable viral RNA for up to 21 days in oral swabs and 14 days in lungs. Virus entry into the brain also occurred, likely via gustatory-olfactory-trigeminal pathway with eventual compromise to the blood SERO brain barrier. Despite this, no conspicuous signs of disease MESHD were observed and no deer mice succumbed to infection MESHD. Expression of several innate immune response genes were elevated in the lungs, notably IFN, Cxcl10, Oas2, Tbk1 and Pycard. Elevated CD4 and CD8{beta} expression in the lungs was concomitant with Tbx21, IFN{gamma} and IL-21 expression, suggesting a type I inflammatory immune response. Contact transmission TRANS occurred from infected to naive deer mice through two passages, showing sustained natural transmission TRANS. In the second deer mouse passage, an insertion of 4 amino acids occurred to fixation in the N-terminal domain of the spike protein that is predicted to form a solvent-accessible loop. Subsequent examination of the source virus from BEI Resources indicated the mutation was present at very low levels, demonstrating potent purifying selection for the insert during in vivo passage. Collectively, this work has determined that deer mice are a suitable animal model for the study of SARS-CoV-2 pathogenesis, and that they have the potential to serve as secondary reservoir hosts that could lead to periodic outbreaks of COVID-19 in North America.

    Serology assessment of antibody SERO response to SARS-CoV-2 in patients with COVID-19 by rapid IgM/IgG antibody test SERO

    Authors: Yang De Marinis; Torgny Sunnerhagen; Pradeep Bompada; Anna Blackberg; Runtao Yang; Joel Svensson; Ola Ekstrom; Karl-Fredrik Eriksson; Ola Hansson; Leif Groop; Isabel Goncalves; Magnus Rasmussen

    doi:10.1101/2020.08.05.20168815 Date: 2020-08-06 Source: medRxiv

    The coronavirus disease MESHD 2019 (COVID-19) pandemic has created a global health- and economic crisis. Lifting confinement restriction and resuming to normality depends greatly on COVID-19 immunity screening. Detection of antibodies SERO to severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) which causes COVID-19 by serological methods is important to diagnose a current or resolved infection MESHD. In this study, we applied a rapid COVID-19 IgM/IgG antibody test SERO and performed serology assessment of antibody SERO response to SARS-CoV-2. In PCR-confirmed COVID-19 patients (n=45), the total antibody SERO detection rate is 92% in hospitalized patients and 79% in non-hospitalized patients. We also studied antibody SERO response in relation to time after symptom onset TRANS and disease MESHD severity, and observed an increase in antibody SERO reactivity and distinct distribution patterns of IgM and IgG following disease progression MESHD. The total IgM and IgG detection is 63% in patients with < 2 weeks from disease MESHD onset; 85% in non-hospitalized patients with > 2 weeks disease MESHD duration; and 91% in hospitalized patients with > 2 weeks disease MESHD duration. We also compared different blood SERO sample types and suggest a potentially higher sensitivity SERO by serum SERO/ plasma SERO comparing with whole blood SERO measurement. To study the specificity of the test, we used 69 sera/ plasma SERO samples collected between 2016-2018 prior to the COVID-19 pandemic, and obtained a test specificity of 97%. In summary, our study provides a comprehensive validation of the rapid COVID-19 IgM/IgG serology test, and mapped antibody SERO detection patterns in association with disease MESHD progress and hospitalization. Our study supports that the rapid COVID-19 IgM/IgG test may be applied to assess the COVID-19 status both at the individual and at a population level.

    Antibody SERO Response and Therapy in COVID-19 Patients: Significance in Vaccine Development

    Authors: Ligong Lu; Hui Zhang; Meixiao Zhan; Jun Jiang; Hua Yin; Danielle J. Dauphars; Shi-You Li; Yong Li; You-Wen He

    id:10.20944/preprints202008.0166.v1 Date: 2020-08-06 Source: Preprints.org

    The newly emerged severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) has infected millions of people and caused tremendous morbidity and mortality worldwide. Effective treatment for coronavirus disease MESHD 2019 (COVID-19) due to SARS-CoV-2 infection MESHD is lacking and different therapeutic strategies are under testing. Host humoral and cellular immunity to SARS-CoV-2 infection MESHD is a critical determinant for patients’ outcome. SARS-CoV-2 infection MESHD results in seroconversion and production of anti- SARS-CoV-2 antibodies SERO. The antibodies SERO may suppress viral replication through neutralization but also might also participate in COVID-19 pathogenesis through a process termed antibody SERO-dependent enhancement. Rapid progress has been made in the research of antibody SERO response and therapy in COVID-19 patients including characterization of the clinical features of antibody SERO responses in different populations infected by SARS-CoV-2, treatment of COVID-19 patients with convalescent plasma SERO and intravenous immunoglobin products, isolation and characterization of a large panel of monoclonal neutralizing antibodies SERO, as well as preliminary clinical results from several COVID-19 vaccine candidates. In this review, we summarize the recent progress and discuss the implications of these findings in vaccine development.

    Seroprevalence SERO of COVID-19 in Niger State

    Authors: Hussaini Majiya; Mohammed Aliyu-Paiko; Vincent Tochukwu Balogu; Dickson Achimugu Musa; Ibrahim Maikudi Salihu; Abdullahi Abubakar Kawu; Ishaq Yakubu Bashir; Aishat Rabiu Sani; John Baba; Amina Tako Muhammad; Fatima Ladidi Jibril; Ezekiel Bala; Nuhu George Obaje; Yahaya Badeggi Aliyu; Ramatu Gogo Muhammad; Hadiza Mohammed; Usman Naji Gimba; Abduljaleel Uthman; Hadiza Muhammad Liman; Sule Alfa Alhaji; Joseph Kolo James; Muhammad Muhammad Makusidi; Mohammed Danasabe Isah; Ibrahim Abdullahi; Umar Ndagi; Bala Waziri; Chindo Ibrahim Bisallah; Naomi John Dadi-Mamud; Kolo Ibrahim; Abu Kasim Adamu

    doi:10.1101/2020.08.04.20168112 Date: 2020-08-05 Source: medRxiv

    Coronavirus Disease MESHD 2019 (COVID-19) Pandemic is ongoing, and to know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the COVID-19 seroprevalence SERO, patterns, dynamics, and risk factors in the state. A cross sectional study design and clustered-stratified-Random sampling strategy were used. COVID-19 IgG and IgM Rapid Test SERO Kits (Colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of antibodies to SARS-CoV-2 SERO in the blood SERO of sampled participants across Niger State as from 26th June 2020 to 30th June 2020. The test kits were validated using the blood SERO samples of some of the NCDC confirmed positive and negative COVID-19 cases in the State. COVID-19 IgG and IgM Test results were entered into the EPIINFO questionnaire administered simultaneously with each test. EPIINFO was then used for both the descriptive and inferential statistical analyses of the data generated. The seroprevalence SERO of COVID-19 in Niger State was found to be 25.41% and 2.16% for the positive IgG and IgM respectively. Seroprevalence SERO among age groups TRANS, gender TRANS and by occupation varied widely. A seroprevalence SERO of 37.21% was recorded among health care workers in Niger State. Among age groups TRANS, COVID-19 seroprevalence SERO was found to be in order of 30-41 years (33.33%) > 42-53 years (32.42%) > 54-65 years (30%) > 66 years and above (25%) > 6-17 years (19.20%) > 18-29 years (17.65%) > 5 years and below (6.66%). A seroprevalence SERO of 27.18% was recorded for males TRANS and 23.17% for females TRANS in the state. COVID-19 asymptomatic TRANS rate in the state was found to be 46.81%. The risk analyses showed that the chances of infection MESHD are almost the same for both urban and rural dwellers in the state. However, health care workers and those that have had contact with person (s) that travelled TRANS out of Nigeria in the last six (6) months are twice ( 2 times) at risk of being infected with the virus. More than half (54.59%) of the participants in this study did not practice social distancing at any time since the pandemic started. Discussions about knowledge, practice and attitude of the participants are included. The observed Niger State COVID-19 seroprevalence SERO means that the herd immunity for COVID-19 is yet to be achieved and the population is still susceptible for more infection MESHD and transmission TRANS of the virus. If the prevalence SERO stays as reported here, the population will definitely need COVID-19 vaccines when they become available. Niger State should fully enforce the use of face/nose masks and observation of social/physical distancing in gatherings including religious gatherings in order to stop or slow the spread of the virus.

    Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity

    Authors: Markus Hoffmann; Heike Hofmann-Winkler; Joan C. Smith; Nadine Krueger; Lambert K. Sorensen; Ole S. Sogaard; Jorgen Bo Hasselstrom; Michael Winkler; Tim Hempel; Lluis Raich; Simon Olsson; Takashi Yamazoe; Katsura Yamatsuta; Hirotaka Mizuno; Stephan Ludwig; Frank Noe; Jason M. Sheltzer; Mads Kjolby; Stefan Poehlmann

    doi:10.1101/2020.08.05.237651 Date: 2020-08-05 Source: bioRxiv

    Antiviral therapy is urgently needed to combat the coronavirus disease MESHD 2019 (COVID-19) pandemic, which is caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2). The protease inhibitor camostat mesylate inhibits SARS-CoV-2 infection MESHD of lung cells by blocking the virus-activating host cell protease TMPRSS2. Camostat mesylate has been approved for treatment of pancreatitis MESHD pancreatitis HP in Japan and is currently being repurposed for COVID-19 treatment. However, potential mechanisms of viral resistance as well as camostat mesylate metabolization and antiviral activity of metabolites are unclear. Here, we show that SARS-CoV-2 can employ TMPRSS2-related host cell proteases for activation and that several of them are expressed in viral target cells. However, entry mediated by these proteases was blocked by camostat mesylate. The camostat metabolite GBPA inhibited the activity of recombinant TMPRSS2 with reduced efficiency as compared to camostat mesylate and was rapidly generated in the presence of serum SERO. Importantly, the infection MESHD experiments in which camostat mesylate was identified as a SARS-CoV-2 inhibitor involved preincubation of target cells with camostat mesylate in the presence of serum SERO for 2 h and thus allowed conversion of camostat mesylate into GBPA. Indeed, when the antiviral activities of GBPA and camostat mesylate were compared in this setting, no major differences were identified. Our results indicate that use of TMPRSS2-related proteases for entry into target cells will not render SARS-CoV-2 camostat mesylate resistant. Moreover, the present and previous findings suggest that the peak concentrations of GBPA established after the clinically approved camostat mesylate dose (600 mg/day) will result in antiviral activity.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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