Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C1175175 (SARS)
19,188 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The pathogenesis of severe acute respiratory syndrome (SARS) is poorly understood and cytokine dysregulation has been suggested as one relevant mechanism to be explored. We compared the cytokine profile in Caco2 cells after infection of SARS coronavirus (SARS-CoV) with other respiratory viruses including respiratory syncytial virus (RSV), influenza A virus (FluAV), and human parainfluenza virus type 2 (hPIV2). Interferon (IFN) system (production and response) was not suppressed by SARS-CoV infection. Therefore, SARS-CoV replication was suppressed by pretreatment with IFN. SARS-CoV and RSV induced high levels of IL-6 and RANTES compared with FluAV and hPIV2. Induction level of suppressor of cytokine signaling-3 (SOCS3) by SARS-CoV was significantly lower than that by RSV in spite of the significant production of IL-6. Toll-like receptors 4 and 9, which correlate with the induction of inflammatory response, were upregulated by SARS-CoV infection. Collectively, overinduction of inflammatory cytokine and dysregulation of cytokine signaling may contribute to the immunopathology associated with "severe" inflammation in SARS.
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PMID:Cytokine regulation in SARS coronavirus infection compared to other respiratory virus infections. 1648 45

This article summarizes key aspects of progress made during 2004 toward the design, discovery and development of antiviral agents for clinical use. Important developments in the identification, characterization and clinical utility of inhibitors of human immunodeficiency virus; the hepatitis viruses, hepatitis B, hepatitis C; the herpes family of viruses, herpes simplex viruses 1 and 2, varicella zoster virus, Epstein-Barr virus and human cytomegalovirus; the respiratory viruses, influenza, respiratory syncytial virus, human metapneumovirus, picornaviruses, measles and the severe acute respiratory syndrome coronavirus; human papilloma virus; rotavirus; Ebola virus and West Nile virus, are reviewed.
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PMID:Developments in antiviral drug design, discovery and development in 2004. 1653 60

RNA viruses are notorious for their genetic plasticity and propensity to exploit new host-range opportunities, which can lead to the emergence of human disease epidemics such as severe acute respiratory syndrome, AIDS, dengue, and influenza. However, the mechanisms of host-range change involved in most of these viral emergences, particularly the genetic mechanisms of adaptation to new hosts, remain poorly understood. We studied the emergence of Venezuelan equine encephalitis virus (VEEV), an alphavirus pathogen of people and equines that has had severe health and economic effects in the Americas since the early 20th century. Between epidemics, VEE disappears for periods up to decades, and the viral source of outbreaks has remained enigmatic. Combined with phylogenetic analyses to predict mutations associated with a 1992-1993 epidemic, we used reverse genetic studies to identify an envelope glycoprotein gene mutation that mediated emergence. This mutation allowed an enzootic, equine-avirulent VEEV strain, which circulates among rodents in nearby forests to adapt for equine amplification. RNA viruses including alphaviruses exhibit high mutation frequencies. Therefore, ecological and epidemiological factors probably constrain the frequency of VEE epidemics more than the generation, via mutation, of amplification-competent (high equine viremia) virus strains. These results underscore the ability of RNA viruses to alter their host range, virulence, and epidemic potential via minor genetic changes. VEE also demonstrates the unpredictable risks to human health of anthropogenic changes such as the introduction of equines and humans into habitats that harbor zoonotic RNA viruses.
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PMID:Venezuelan encephalitis emergence mediated by a phylogenetically predicted viral mutation. 1656 58

The rapid detection of influenza viruses is important for forming preventative strategies, directing initiation of anti-viral therapy, detecting potential avian influenza viruses, and excluding influenza-like pathogens, such as SARS. The ImmunoCard STAT! Flu A and B Plus test (Meridian Bioscience, Cincinnati, OH) is a new point of care (POC) test utilizing influenza-specific monoclonal antibodies for rapid diagnosis. The performance of this assay was compared to the established POC Binax NowFlu A and NowFlu B test, and the reference diagnostic standards of viral culture, indirect immunofluorescence (IFA), and RT-PCR where appropriate. Testing of nasopharyngeal aspirates (NPA) from children, throat swabs, and nasal swabs from adults indicated ImmunoCard STAT! specificity of 98% and 100% for influenza A and B, respectively in 224 specimens. The Binax test showed specificity of 99% and 100%, respectively for influenza A and B. Sensitivity results were identical for both rapid detection kits (80% and 47% for Flu A and B, respectively). Overall results were very similar for both testing devices with the advantage of ImmunoCard STAT! Flu A and B Plus test detecting influenza A and B with sharp and easy to read results.
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PMID:Comparison of two rapid influenza A/B test kits with reference methods showing high specificity and sensitivity for influenza A infection. 1655 88

The severe acute respiratory syndrome (SARS) epidemic, the growing fear of an influenza pandemic and the recent shortage of flu vaccine highlight the need for surveillance systems able to provide early, quantitative predictions of epidemic events. We use dynamic Bayesian networks to discover the interplay among four data sources that are monitored for influenza surveillance. By integrating these different data sources into a dynamic model, we identify in children and infants presenting to the pediatric emergency department with respiratory syndromes an early indicator of impending influenza morbidity and mortality. Our findings show the importance of modelling the complex dynamics of data collected for influenza surveillance, and suggest that dynamic Bayesian networks could be suitable modelling tools for developing epidemic surveillance systems.
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PMID:A Bayesian dynamic model for influenza surveillance. 1664 96

The first cases of severe acute respiratory syndrome (SARS) were identified in November 2002, in Guangdong Province, China. The epidemic spread rapidly within China and internationally, with 8454 recorded infections and 792 deaths by June 15, 2003. Temperature, relative humidity, and wind velocity were the three key meteorological determinants affecting the transmission of SARS. The peak spread of SARS occurred at a mean temperature of 16.9 degrees C (95% CI, 10.7 degrees C to 23.1 degrees C), with a mean relative humidity of 52.2% (95% CI, 33.0% to 71.4%) and wind speed of 2.8 ms(-1) (95% CI, 2.0 to 3.6 ms(-1)). In northern China, these conditions are most likely to occur in the spring and suggest that SARS has a seasonal nature akin to viruses such as influenza and the common cold. A regression equation (Y=218.692-0.698X(t)-2.043X(h)+2.282X(w)) was derived to represent the optimal climatic conditions for the 2003 SARS epidemic. Further investigations in other regions are necessary to verify these results.
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PMID:A climatologic investigation of the SARS-CoV outbreak in Beijing, China. 1667 82

If an influenza pandemic struck today, borders might close, the global economy would be severely impacted, international vaccine supplies and health are systems would be overwhelmed, and some people might panic. To limit the fallout, the industrialized world must create a detailed response strategy involving the public and private sectors. Some experts feel we are overdue for a flu pandemic and the SARS pandemic of 2003 could have been the wake up call to begin preparations. Fortunately there is some assistance coming from the federal government. On January 12, U.S. Department of Health & Human Services Secretary Mike Leavitt announced funding to assist in the preparation for a pandemic flu response. $100 million is being provided initially with another $250 million due later this year to assist states in pandemic flu preparedness. Texas' initial allocation is $5,875,044. While some believe that the AI (H5N1) causing illness and deaths in Asia and Turkey will be the pandemic flu strain, there is no guarantee that will occur. Thus, without knowing which strain may lead to a pandemic, development and manufacturing of a vaccine is delayed.
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PMID:A pandemic flu: not if, but when. SARS was the wake-up call we slept through. 1668 Dec 27

Two viral agents with RNA genome are responsible for emerging illnesses: influenza virus A/H5N1 and Severe Acute Respiratory Syndrome virus (SARS). For the diagnosis of SARS virus infection, an epidemiological investigation is necessary to know whether the patient has been exposed to a risk in a country where the SARS virus is circulating or whether the patient had worked in a laboratory handling SARS virus. The detection of SARS virus is possible in various clinical samples (including urine) by viral culture or RT-PCR. The handling of those samples and RNA extraction must be performed in a BSL3 laboratory. The SARS virus RT-PCR is poorly sensitive, therefore the test should be performed on samples collected consecutively for several days. In front of a suspicion of A/H5N1, similar procedures are recommended. An epidemiologic investigation is necessary to specify whether the patient stayed in a country where A/H5N1 virus was circulating. Clinical samples needed for a specific diagnosis are: nasopharyngeal, throat-swab or fecal samples, cerebrospinal fluid and blood. The presence of A/H5N1 virus is confirmed by viral isolation or RNA detection by RT-PCR. RNA extraction must be performed in a BSL3 laboratory. For diagnosis of A/H5N1 virus infection, RT-PCR test amplifies specifically a fragment of H5 gene (Hemagglutinin). In french laboratories of medical virology, procedures are ready to diagnose the first case of A/H5N1 virus infection and cases of reemerging SARS virus infection.
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PMID:[Emergent viruses: SARS-associate coronavirus and H5N1 influenza virus]. 1669 55

A total of 877 Hong Kong Chinese community-dwelling elderly were telephone-interviewed. Of them, 63.2% had heard of influenza vaccination (IV), 31.2% had ever had IV (of which 93.3% did so in the last 6 months) and 51.4% were inclined toward receiving free IV in the coming year. Multivariate analyses showed that older age, perceptions of side effects, perceptions of effectiveness duration, and knowing where to get vaccinated were significantly associated with having ever been vaccinated. These variables are related to the Health Belief Model. The prevalence of IV appeared to be increasing as a result of the recent SARS epidemic.
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PMID:Prevalence of influenza vaccination and associated factors among community-dwelling Hong Kong residents of age 65 or above. 1671 61

The anti-RNA virus activity of polyoxometalates (POM) is reviewed, with a special emphasis on the anti-respiratory virus activities. There are many causative agents of acute viral respiratory infections; and it is rather difficult to identify the relevant agent in a given case by rapid clinical means. During acute progress of infection before the definitive diagnosis is obtained physicians need to prescribe certain broad spectrum anti-viral drugs. A titanium containing polyoxotungstate, PM-523 exhibited potent anti-influenza virus (FluV) A and anti-respiratory syncytial virus (RSV) activities in vitro. Therapeutic effect of FluV A infected mice with aerosol inhalation of PM-523 was proven. A vanadium substituted polyoxotungstate, PM-1001 has antiviral activity against FluV A, RSV, parainfluenza virus (PfluV) type 2, Dengue fiver virus, HIV-1 and SARS coronavirus in vitro. Thus, POMs have been proven to be broad spectrum and non-toxic anti-RNA virus agents in both in vitro and in vivo experiments and are promising candidates for first-line therapeutics in acute respiratory diseases.
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PMID:Anti-RNA virus activity of polyoxometalates. 1673 94


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