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                <text>A giant spontaneous subcapsular hematoma of the liver revealing a COVID-19 infection, a coincidence? (A case report).</text>
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                <text>Anisse Tidjane, Amel Laredj, Nabil Boudjenan-Serradj, Salim Bensafir, Benali Tabeti</text>
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                <text>Hemorrhagic manifestations during COVID-19 infections are increasingly described in the literature. We report the first case of spontaneous subcapsular hematoma of the liver revealing a COVID-19 infection in a 44-year-old woman with no underlying health condition history, a computerized tomography evaluation showed an aspect of lung ground-glass opacities, with moderate impairment estimated at about 20%. Reverse transcription-polymerase chain reaction confirmed the diagnosis of COVID-19 infection. During the COVID-19 pandemic, non-traumatic bleeding such as spontaneous hematomas in patients with no coagulation disorder could be a manifestation of COVID-19 infection.</text>
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                <text>The Pan African medical journal</text>
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                <text>Maciej Telszewski, Denise Breitburg, Marilaure Gregoire, Véronique Garçon, Hernan Garcia, Kirsten Isensee, Andreas Oschlies, Alexander Barth, Henry C. Bittig, Jacob Carstensen, Thierry Carval, Fei Chai, Francisco Chavez, Daniel Conley, Laurent Coppola, Sean Crowe, Kim Currie, Minhan Dai, Bruno Deflandre, Boris Dewitte, Boris Dewitte, Boris Dewitte, Robert Diaz, Emilio Garcia-Robledo, Denis Gilbert, Alessandra Giorgetti, Ronnie Glud, Dimitri Gutierrez, Shigeki Hosoda, Masao Ishii, Gil Jacinto, Chris Langdon, Siv K. Lauvset, Lisa A. Levin, Karin E. Limburg, Hela Mehrtens, Ivonne Montes, Wajih Naqvi, Aurélien Paulmier, Benjamin Pfeil, Grant Pitcher, Sylvie Pouliquen, Nancy Rabalais, Christophe Rabouille, Virginie Recape, Michaël Roman, Kenneth Rose, Daniel Rudnick, Jodie Rummer, Catherine Schmechtig, Sunke Schmidtko, Brad Seibel, Caroline Slomp, U. Rashid Sumalia, Toste Tanhua, Virginie Thierry, Hiroshi Uchida, Rik Wanninkhof, Moriaki Yasuhara</text>
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                <text>In this paper, we outline the need for a coordinated international effort toward the building of an open-access Global Ocean Oxygen Database and ATlas (GO2DAT) complying with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). GO2DAT will combine data from the coastal and open ocean, as measured by the chemical Winkler titration method or by sensors (e.g., optodes, electrodes) from Eulerian and Lagrangian platforms (e.g., ships, moorings, profiling floats, gliders, ships of opportunities, marine mammals, cabled observatories). GO2DAT will further adopt a community-agreed, fully documented metadata format and a consistent quality control (QC) procedure and quality flagging (QF) system. GO2DAT will serve to support the development of advanced data analysis and biogeochemical models for improving our mapping, understanding and forecasting capabilities for ocean O2 changes and deoxygenation trends. It will offer the opportunity to develop quality-controlled data synthesis products with unprecedented spatial (vertical and horizontal) and temporal (sub-seasonal to multi-decadal) resolution. These products will support model assessment, improvement and evaluation as well as the development of climate and ocean health indicators. They will further support the decision-making processes associated with the emerging blue economy, the conservation of marine resources and their associated ecosystem services and the development of management tools required by a diverse community of users (e.g., environmental agencies, aquaculture, and fishing sectors). A better knowledge base of the spatial and temporal variations of marine O2 will improve our understanding of the ocean O2 budget, and allow better quantification of the Earth’s carbon and heat budgets. With the ever-increasing need to protect and sustainably manage ocean services, GO2DAT will allow scientists to fully harness the increasing volumes of O2 data already delivered by the expanding global ocean observing system and enable smooth incorporation of much higher quantities of data from autonomous platforms in the open ocean and coastal areas into comprehensive data products in the years to come. This paper aims at engaging the community (e.g., scientists, data managers, policy makers, service users) toward the development of GO2DAT within the framework of the UN Global Ocean Oxygen Decade (GOOD) program recently endorsed by IOC-UNESCO. A roadmap toward GO2DAT is proposed highlighting the efforts needed (e.g., in terms of human resources).</text>
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                <text>ATLAS, Database, Mapping, Observing, data products, oxygen</text>
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                <text>A Global Screening Assay to Select for Maize Phenotypes with a High Tolerance or Resistance to &lt;i&gt;Fusarium verticillioides&lt;/i&gt; (Sacc.) Nirenberg Rots</text>
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                <text>Lav Sharma, Shamir  Gabriel Román, Jesús Quiroz-Chávez, Miguel Villalobos, Vianey Urías-Gutiérrez, Eusebio Nava-Pérez, Eliel Ruíz-May, Rupesh  Kumar Singh, Francisco  Roberto Quiroz-Figueroa</text>
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                <text>Fusarium verticillioides (Sacc.) Nirenberg (Fv) causes rots in maize around the world and produces mycotoxins that contaminate grains, making this species a significant health concern for both animals and humans. One of the best approaches to address rots is to identify highly tolerant or resistant genotypes that can be used for genetic improvement. The aim of the study was to evaluate dose-response assays to tolerance or resistance for Fv rots throughout the maize life cycle. These tests assessed the effects of Fv during post-germination development and the seedling (V2) stage by seed infection, the plantlet (V4) stage by substrate infection, and in the reproductive phase in maize stalks (R2 stage) and ears (R6 stage) by R1 stage inoculation. In all assays, the doses were effective at distinguishing contrasting phenotypes. Severity, root fresh weight, and aerial length were the most informative parameters at the V2 and V4 stages. Evaluation of the stalk necrosis area between and within the internodes of susceptible genotypes revealed significant differences among doses, and a positive correlation between necrosis and conidia concentration was observed in internodes. Injecting eight million conidia in the ear was sufficient for selecting different phenotypes. A total of 85% of the genotypes conserved their same capacity to respond to Fv infection throughout the maize life cycle, so that screening at the early vegetative stage (e.g., V2) could be useful for distinguishing contrasting phenotypes in the reproductive stage. Implementing these screening assays in a maize breeding program could be valuable for classifying the degrees of resilience of maize germplasms to Fv rots. This global screening has the potential to be employed to select against other Fusarium species.</text>
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                <text>&lt;i&gt;Zea mays&lt;/i&gt; L, fusariosis, maize breeding</text>
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                <text>10.3390/agronomy10121990</text>
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                <text>Agronomy</text>
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                <text>MDPI AG</text>
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                <text>Agriculture</text>
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                <text>&lt;a href="https://www.mdpi.com/2073-4395/10/12/1990" target="_blank" rel="noreferrer noopener"&gt;https://www.mdpi.com/2073-4395/10/12/1990&lt;/a&gt;</text>
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                <text>A Good Death" During Coronavirus Disease 2019: Outdoor Terminal Extubation Facilitates Safe Family Presence for a Dying Patient."</text>
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                <text>Michelle M Crispo, Tania D Strout, Lisa M Munzig, Patricia A Lerwick</text>
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                <text>Journal of pain and symptom management</text>
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                <text>A Guide for Oncologic Patient Management during Covid-19 Pandemic: The Initial Experience of an Italian Oncologic Hub with Exemplificative Focus on Uro-Oncologic Patients</text>
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                <text>Matteo Ferro, Ottavio De Cobelli, Gennaro Musi, Fabrizio Mastrilli, Stefano Luzzago, Francesco  A. Mistretta, Luigi  Orlando Molendini, Enza Dossena</text>
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                <text>The recent exponential increase in the number of COVID-19 patients in Italy led to the adoption of specific extraordinary measures, such as the need to convey treatment of all non-deferrable cancer patients to specialized centres (hubs). We reported a comprehensive summary of guidelines to create and run an oncologic hub during the COVID-19 pandemic. Oncologic hubs must fulfil some specific requirements such as a high experience in oncologic patient treatment, strict strategies applied to remain a “COVID-19-free” centre, and the creation of a dedicated multidisciplinary “hub team”. Cancer treatment of patients who belong to external centres, namely spoke centres, could be organized in different pathways according to the grade of involvement and/or availability of the medical team of the spoke centre. Moreover, dedicated areas should be created for the management and treatment of patients who developed COVID-19 symptoms after hospitalization (i.e., dedicated wards, operation rooms and intensive care beds). Lastly, hospital staff must be highly trained for both preventing COVID-19 contagion and treating patients who develop the infection. We provided a simplified, but complete and easily applicable guide. We believe that this guide could help those clinicians who have to treat oncologic patients during the COVID-19 pandemic.</text>
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                <text>DOI: 10.3390/cancers12061513</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                <text>A Guide for Oncologic Patient Management during Covid-19 Pandemic: The Initial Experience of an Italian Oncologic Hub with Exemplificative Focus on Uro-Oncologic Patients</text>
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                <text>Francesco  A. Mistretta, Stefano Luzzago, Luigi  Orlando Molendini, Matteo Ferro, Enza Dossena, Fabrizio Mastrilli, Gennaro Musi, Ottavio de Cobelli</text>
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            <description>An account of the resource</description>
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                <text>The recent exponential increase in the number of COVID-19 patients in Italy led to the adoption of specific extraordinary measures, such as the need to convey treatment of all non-deferrable cancer patients to specialized centres (hubs). We reported a comprehensive summary of guidelines to create and run an oncologic hub during the COVID-19 pandemic. Oncologic hubs must fulfil some specific requirements such as a high experience in oncologic patient treatment, strict strategies applied to remain a “COVID-19-free” centre, and the creation of a dedicated multidisciplinary “hub team”. Cancer treatment of patients who belong to external centres, namely spoke centres, could be organized in different pathways according to the grade of involvement and/or availability of the medical team of the spoke centre. Moreover, dedicated areas should be created for the management and treatment of patients who developed COVID-19 symptoms after hospitalization (i.e., dedicated wards, operation rooms and intensive care beds). Lastly, hospital staff must be highly trained for both preventing COVID-19 contagion and treating patients who develop the infection. We provided a simplified, but complete and easily applicable guide. We believe that this guide could help those clinicians who have to treat oncologic patients during the COVID-19 pandemic.</text>
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                <text>covid-19, SARS-CoV-2, surgical oncology, Medical Oncology, oncology service</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                <text>A Hierarchical Fuzzy-Based Correction Algorithm for the Neighboring Network Hit Problem</text>
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                <text>Andrés Leiva-Araos, Héctor Allende-Cid</text>
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            <description>An account of the resource</description>
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                <text>Most humans today have mobile phones. These devices are permanently collecting and storing behavior data of human society. Nevertheless, data processing has several challenges to be solved, especially if it is obtained from obsolete technologies. Old technologies like GSM and UMTS still account for almost half of all devices globally. The main problem in the data is known as neighboring network hit (NNH). An NNH occurs when a cellular device connects to a site further away than it corresponds to by network design, introducing an error in the spatio-temporal mobility analysis. The problems presented by the data are mitigated by eliminating erroneous data or diluting them statistically based on increasing the amount of data processed and the size of the study area. None of these solutions are effective if what is sought is to study mobility in small areas (e.g., Covid-19 pandemic). Elimination of complete records or traces in the time series generates deviations in subsequent analyses; this has a special impact on reduced spatial coverage studies. The present work is an evolution of the previous approach to NNH correction (NFA) and travel inference (TCA), based on binary logic. NFA and TCA combined deliver good travel counting results compared to government surveys (2.37 vs. 2.27, respectively). However, its main contribution is given by the increase in the precision of calculating the distances traveled (37% better than previous studies). In this document, we introduce FNFA and FTCA. Both algorithms are based on fuzzy logic and deliver even better results. We observed an improvement in the trip count (2.29, which represents 2.79% better than NFA). With FNFA and FTCA combined, we observe an average distance traveled difference of 9.2 km, which is 9.8% better than the previous NFA-TCA. Compared to the naive methods (without fixing the NNHs), the improvement rises from 28.8 to 19.6 km (46.9%). We use duly anonymized data from mobile devices from three major cities in Chile. We compare our results with previous works and Government’s Origin and Destination Surveys to evaluate the performance of our solution. This new approach, while improving our previous results, provides the advantages of a model better adapted to the diffuse condition of the problem variables and shows us a way to develop new models that represent open challenges in studies of urban mobility based on cellular data (e.g., travel mode inference).</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="64320">
                <text>human mobility, fuzzy logic, Mobile Data, data wrangling, neighboring network hit</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3390/math9040315</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="64322">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="64323">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Mathematics</text>
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              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A higher incidence of moult–breeding overlap in great tits across time is linked to an increased frequency of second clutches: a possible effect of global warming?</text>
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                <text>E Alvarez, I Solís, J. J. Sanz, L. Imba, E. Barba</text>
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            <description>An account of the resource</description>
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                <text>El incremento del solapamiento entre la muda y la reproducción en el carbonero común está ligado a un aumento en la frecuencia de segundas puestas: ¿Un posible efecto del calentamiento global?  El ascenso de las temperaturas debido al cambio climático está relacionado con un aumento de la duración de la temporada reproductiva de muchas especies de aves. Esto permite que más parejas intenten poner dos puestas durante la temporada reproductiva y conlleva que terminen sus actividades reproductivas más tarde; por tanto, estas actividades se podrían solapar con la muda postnupcial. Hemos comprobado si esto ocurre en dos poblaciones de carbonero común (Parus major) de España. La proporción de parejas con segundas puestas se ha incrementado del 1 % al 32 % durante el periodo de estudio en una de las poblaciones (Sagunto, 1995–2019), mientras que en la otra no ha cambiado (Quintos, 2006–2019; media 5 %). No hemos encontrado ninguna tendencia temporal en cuanto a la fecha de inicio de muda de los individuos que están criando en fechas tardías en ninguna de las dos poblaciones. La proporción de individuos de ambos sexos cuya muda y actividad reproductiva se solaparon se ha incrementado en Sagunto. En esta última población, el sexo y la edad, pero no el tipo de puesta, contribuyeron a explicar la variabilidad en la probabilidad de solapamiento entre los reproductores tardíos, ya que esta es mayor en los machos de primer año y menor en hembras adultas.</text>
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                <text>2021</text>
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                <text>Cambio climático, Cambios fenológicos, España, Muda post–nupcial, Parus major, carbonero común</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.32800/abc.2021.44.0303</text>
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                <text>Animal Biodiversity and Conservation</text>
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                <text>Museu de Ciències Naturals de Barcelona</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Zoology</text>
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                <text>&lt;a href="https://raco.cat/index.php/ABC/article/view/395030" target="_blank" rel="noreferrer noopener"&gt;https://raco.cat/index.php/ABC/article/view/395030&lt;/a&gt;</text>
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                <text>A human &lt;it&gt;in vitro &lt;/it&gt;model system for investigating genome-wide host responses to SARS coronavirus infection</text>
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                <text>Abstract Background The molecular basis of severe acute respiratory syndrome (SARS) coronavirus (CoV) induced pathology is still largely unclear. Many SARS patients suffer respiratory distress brought on by interstitial infiltration and frequently show peripheral blood lymphopenia and occasional leucopenia. One possible cause of this could be interstitial inflammation, following a localized host response. In this study, we therefore examine the immune response of SARS-CoV in human peripheral blood mononuclear cells (PBMCs) over the first 24 hours. Methods PBMCs from normal healthy donors were inoculated in vitro with SARS-CoV and the viral replication kinetics was studied by real-time quantitative assays. SARS-CoV specific gene expression changes were examined by high-density oligonucleotide array analysis. Results We observed that SARS-CoV was capable of infecting and replicating in PBMCs and the kinetics of viral replication was variable among the donors. SARS-CoV antibody binding assays indicated that SARS specific antibodies inhibited SARS-CoV viral replication. Array data showed monocyte-macrophage cell activation, coagulation pathway upregulation and cytokine production together with lung trafficking chemokines such as IL8 and IL17, possibly activated through the TLR9 signaling pathway; that mimicked clinical features of the disease. Conclusions The identification of human blood mononuclear cells as a direct target of SARS-CoV in the model system described here provides a new insight into disease pathology and a tool for investigating the host response and mechanisms of pathogenesis.</text>
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                <text>Abstract Background The molecular basis of severe acute respiratory syndrome (SARS) coronavirus (CoV) induced pathology is still largely unclear. Many SARS patients suffer respiratory distress brought on by interstitial infiltration and frequently show peripheral blood lymphopenia and occasional leucopenia. One possible cause of this could be interstitial inflammation, following a localized host response. In this study, we therefore examine the immune response of SARS-CoV in human peripheral blood mononuclear cells (PBMCs) over the first 24 hours. Methods PBMCs from normal healthy donors were inoculated in vitro with SARS-CoV and the viral replication kinetics was studied by real-time quantitative assays. SARS-CoV specific gene expression changes were examined by high-density oligonucleotide array analysis. Results We observed that SARS-CoV was capable of infecting and replicating in PBMCs and the kinetics of viral replication was variable among the donors. SARS-CoV antibody binding assays indicated that SARS specific antibodies inhibited SARS-CoV viral replication. Array data showed monocyte-macrophage cell activation, coagulation pathway upregulation and cytokine production together with lung trafficking chemokines such as IL8 and IL17, possibly activated through the TLR9 signaling pathway; that mimicked clinical features of the disease. Conclusions The identification of human blood mononuclear cells as a direct target of SARS-CoV in the model system described here provides a new insight into disease pathology and a tool for investigating the host response and mechanisms of pathogenesis.</text>
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