David Suarez

Dr. David Suarez

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2002 in Journal of Clinical Microbiology
Verified
Journal Article
Open access
PDF file
ESErica Spackman
Erica Spackman
DSDennis A. Senne
Dennis A. Senne
TMT. J. Myers
T. J. Myers
LBLeslie L. Bulaga
Leslie L. Bulaga
LGLindsey P. Garber
Lindsey P. Garber
DSDavid Suarez
David Suarez
A real-time reverse transcriptase PCR (RRT-PCR) assay based on the avian influenza virus matrix gene was developed for the rapid detection of type A influenza virus. Additionally, H5 and H7 hemagglutinin subtype-specific probe sets were developed based on North American avian influenza virus sequences. The RRT-PCR assay utilizes a one-step RT-PCR protocol and fluorogenic hydrolysis type probes. The matrix gene RRT-PCR assay has a detection limit of 10 fg or approximately 1,000 copies of target RNA and can detect 0.1 50% egg infective dose of virus. The H5- and H7-specific probe sets each have a detection limit of 100 fg of target RNA or approximately 10 3 to 10 4 gene copies. The sensitivity and specificity of the real-time PCR assay were directly compared with those of the current standard for detection of influenza virus: virus isolation (VI) in embryonated chicken eggs and hemagglutinin subtyping by hemagglutination inhibition (HI) assay. The comparison was performed with 1,550 tracheal and cloacal swabs from various avian species and environmental swabs obtained from live-bird markets in New York and New Jersey. Influenza virus-specific RRT-PCR results correlated with VI results for 89% of the samples. The remaining samples were positive with only one detection method. Overall the sensitivity and specificity of the H7- and H5-specific RRT-PCR were similar to those of VI and HI.

1 January 2004 in Journal of Clinical Microbiology
Verified
Journal Article
Closed access
MWMark G Wise
Mark G Wise
DSDavid Suarez
David Suarez
BSBruce S. Seal
Bruce S. Seal
JPJanice C. Pedersen
Janice C. Pedersen
DSDennis A. Senne
Dennis A. Senne
ESErica Spackman
Erica Spackman
A real-time reverse-transcription PCR (RRT-PCR) was developed to detect avian paramyxovirus 1 (APMV-1) RNA, also referred to as Newcastle disease virus (NDV), in clinical samples from birds. The assay uses a single-tube protocol with fluorogenic hydrolysis probes. Oligonucleotide primers and probes were designed to detect sequences from a conserved region of the matrix protein (M) gene that recognized a diverse set ( n = 44) of APMV-1 isolates. A second primer-probe set was targeted to sequences in the fusion protein (F) gene that code for the cleavage site and detect potentially virulent NDV isolates. A third set, also directed against the M gene, was specific for the North American (N.A.) pre-1960 genotype that includes the common vaccine strains used in commercial poultry in the United States. The APMV-1 M gene, N.A. pre-1960 M gene, and F gene probe sets were capable of detecting approximately 10 3 , 10 2 , and 10 4 genome copies, respectively, with in vitro-transcribed RNA. Both M gene assays could detect approximately 10 1 50% egg infective doses (EID 50 ), and the F gene assay could detect approximately 10 3 EID 50 . The RRT-PCR test was used to examine clinical samples from chickens experimentally infected with the NDV strain responsible for a recent epizootic in the southwestern United States. Overall, a positive correlation was obtained between the RRT-PCR results and virus isolation for NDV from clinical samples.

1 October 2019 in Infection, Genetics and Evolution
Verified
Journal Article
Open access
KDKiril M. Dimitrov
Kiril M. Dimitrov
CACelia Abolnik
Celia Abolnik
Claudio AfonsoClaudio Afonso
Claudio Afonso
EAEmmanuel Albina
Emmanuel Albina
JBJustin Bahl
Justin Bahl
FWFrank Wong
Frank Wong
Several Avian paramyxoviruses 1 (synonymous with Newcastle disease virus or NDV, used hereafter) classification systems have been proposed for strain identification and differentiation. These systems pioneered classification efforts; however, they were based on different approaches and lacked objective criteria for the differentiation of isolates. These differences have created discrepancies among systems, rendering discussions and comparisons across studies difficult. Although a system that used objective classification criteria was proposed by Diel and co-workers in 2012, the ample worldwide circulation and constant evolution of NDV, and utilization of only some of the criteria, led to identical naming and/or incorrect assigning of new sub/genotypes. To address these issues, an international consortium of experts was convened to undertake in-depth analyses of NDV genetic diversity. This consortium generated curated, up-to-date, complete fusion gene class I and class II datasets of all known NDV for public use, performed comprehensive phylogenetic neighbor-Joining, maximum-likelihood, Bayesian and nucleotide distance analyses, and compared these inference methods. An updated NDV classification and nomenclature system that incorporates phylogenetic topology, genetic distances, branch support, and epidemiological independence was developed. This new consensus system maintains two NDV classes and existing genotypes, identifies three new class II genotypes, and reduces the number of sub-genotypes. In order to track the ancestry of viruses, a dichotomous naming system for designating sub-genotypes was introduced. In addition, a pilot dataset and sub-trees rooting guidelines for rapid preliminary genotype identification of new isolates are provided. Guidelines for sequence dataset curation and phylogenetic inference, and a detailed comparison between the updated and previous systems are included. To increase the speed of phylogenetic inference and ensure consistency between laboratories, detailed guidelines for the use of a supercomputer are also provided. The proposed unified classification system will facilitate future studies of NDV evolution and epidemiology, and comparison of results obtained across the world.

1 August 2000 in Scientific and Technical Review
Verified
Journal Article
Closed access
DSDavid Eugene Swayne
David Eugene Swayne
DSDavid Suarez
David Suarez
Highly pathogenic (HP) avian influenza (AI) (HPAI) is an extremely contagious, multi-organ systemic disease of poultry leading to high mortality, and caused by some H5 and H7 subtypes of type A influenza virus, family Orthomyxoviridae. However, most AI virus strains are mildly pathogenic (MP) and produce either subclinical infections or respiratory and/or reproductive diseases in a variety of domestic and wild bird species. Highly pathogenic avian influenza is a List A disease of the Office International des Epizooties, while MPAI is neither a List A nor List B disease. Eighteen outbreaks of HPAI have been documented since the identification of AI virus as the cause of fowl plague in 1955. Mildly pathogenic avian influenza viruses are maintained in wild aquatic bird reservoirs, occasionally crossing over to domestic poultry and causing outbreaks of mild disease. Highly pathogenic avian influenza viruses do not have a recognised wild bird reservoir, but can occasionally be isolated from wild birds during outbreaks in domestic poultry. Highly pathogenic avian influenza viruses have been documented to arise from MPAI viruses through mutations in the haemagglutinin surface protein. Prevention of exposure to the virus and eradication are the accepted methods for dealing with HPAI. Control programmes, which imply allowing a low incidence of infection, are not an acceptable method for managing HPAI, but have been used during some outbreaks of MPAI. The components of a strategy to deal with MPAI or HPAI include surveillance and diagnosis, biosecurity, education, quarantine and depopulation. Vaccination has been used in some control and eradication programmes for AI.

20 January 2012 in Influenza and Other Respiratory Viruses
Verified
Journal Article
Open access
PDF file
RSR. Burke Squires
R. Burke Squires
JNJyothi Noronha
Jyothi Noronha
VHVictoria Hunt
Victoria Hunt
AGAdolfo Garcia-Sastre
Adolfo Garcia-Sastre
CMCatherine Macken
Catherine Macken
RSRichard Scheuermann
Richard Scheuermann
Please cite this paper as: Squires et al. (2012) Influenza research database: an integrated bioinformatics resource for influenza research and surveillance. Influenza and Other Respiratory Viruses 6(6), 404–416.Background  The recent emergence of the 2009 pandemic influenza A/H1N1 virus has highlighted the value of free and open access to influenza virus genome sequence data integrated with information about other important virus characteristics.Design  The Influenza Research Database (IRD, http://www.fludb.org) is a free, open, publicly‐accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user‐friendly interfaces for data retrieval, visualization and comparative genomics analysis, together with personal log in‐protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.Results  To demonstrate the utility of the data and analysis tools available in IRD, two scientific use cases are presented. A comparison of hemagglutinin sequence conservation and epitope coverage information revealed highly conserved protein regions that can be recognized by the human adaptive immune system as possible targets for inducing cross‐protective immunity. Phylogenetic and geospatial analysis of sequences from wild bird surveillance samples revealed a possible evolutionary connection between influenza virus from Delaware Bay shorebirds and Alberta ducks.Conclusions  The IRD provides a wealth of integrated data and information about influenza virus to support research of the genetic determinants dictating virus pathogenicity, host range restriction and transmission, and to facilitate development of vaccines, diagnostics, and therapeutics.

1 August 2004 in Journal of Virology
Verified
Journal Article
Open access
PDF file
CLChang-Won Lee
Chang-Won Lee
DSDennis A. Senne
Dennis A. Senne
DSDavid Suarez
David Suarez
An outbreak of avian influenza (AI) caused by a low-pathogenic H5N2 type A influenza virus began in Mexico in 1993 and several highly pathogenic strains of the virus emerged in 1994-1995. The highly pathogenic virus has not been reported since 1996, but the low-pathogenic virus remains endemic in Mexico and has spread to two adjacent countries, Guatemala and El Salvador. Measures implemented to control the outbreak and eradicate the virus in Mexico have included a widespread vaccination program in effect since 1995. Because this is the first case of long-term use of AI vaccines in poultry, the Mexican lineage virus presented us with a unique opportunity to examine the evolution of type A influenza virus circulating in poultry populations where there was elevated herd immunity due to maternal and active immunity. We analyzed the coding sequence of the HA1 subunit and the NS gene of 52 Mexican lineage viruses that were isolated between 1993 and 2002. Phylogenetic analysis indicated the presence of multiple sublineages of Mexican lineage isolates at the time vaccine was introduced. Further, most of the viruses isolated after the introduction of vaccine belonged to sublineages separate from the vaccine's sublineage. Serologic analysis using hemagglutination inhibition and virus neutralization tests showed major antigenic differences among isolates belonging to the different sublineages. Vaccine protection studies further confirmed the in vitro serologic results indicating that commercial vaccine was not able to prevent virus shedding when chickens were challenged with antigenically different isolates. These findings indicate that multilineage antigenic drift, which has not been observed in AI virus, is occurring in the Mexican lineage AI viruses and the persistence of the virus in the field is likely aided by its large antigenic difference from the vaccine strain.