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David A Stenger

Publications and source records attributed to David A Stenger.

At least 19 recordsLinked to original sources

Using a resequencing microarray as a multiple respiratory pathogen detection assay.

Simultaneous testing for detection of infectious pathogens that cause similar symptoms (e.g., acute respiratory infections) is invaluable for patient treatment, outbreak prevention, and efficient use of antibiotic and antiviral agents. In addition, such testing may provide information regarding possible coinfections or induced secondary infections, such as virally induced bacterial infections. Furthermore, in many cases, detection of a pathogen requires more than genus/species-level resolution, since harmful agents (e.g., avian influenza virus) are grouped with other, relatively benign common agents, and for every pathogen, finer resolution is useful to allow tracking of the location and nature of mutations leading to strain variations. In this study, a previously developed resequencing microarray that has been demonstrated to have these capabilities was further developed to provide individual detection sensitivity ranging from 10(1) to 10(3) genomic copies for more than 26 respiratory pathogens while still retaining the ability to detect and differentiate between close genetic neighbors. In addition, the study demonstrated that this system allows unambiguous and reproducible sequence-based strain identification of the mixed pathogens. Successful proof-of-concept experiments using clinical specimens show that this approach is potentially very useful for both diagnostics and epidemic surveillance.

Algorithms↗

Automated identification of multiple micro-organisms from resequencing DNA microarrays.

There is an increasing recognition that detailed nucleic acid sequence information will be useful and even required in the diagnosis, treatment and surveillance of many significant pathogens. Because generating detailed information about pathogens leads to significantly larger amounts of data, it is necessary to develop automated analysis methods to reduce analysis time and to standardize identification criteria. This is especially important for multiple pathogen assays designed to reduce assay time and costs. In this paper, we present a successful algorithm for detecting pathogens and reporting the maximum level of detail possible using multi-pathogen resequencing microarrays. The algorithm filters the sequence of base calls from the microarray and finds entries in genetic databases that most closely match. Taxonomic databases are then used to relate these entries to each other so that the microorganism can be identified. Although developed using a resequencing microarray, the approach is applicable to any assay method that produces base call sequence information. The success and continued development of this approach means that a non-expert can now perform unassisted analysis of the results obtained from partial sequence data.

Algorithms↗

Magnetic bead-based solid phase for selective extraction of genomic DNA.

Magnetic bead-based solid phases are widely used for the separation of nucleic acids from complex mixtures. The challenge to selectively separate specific DNA molecules (via complementary hybridization) in a single step is the selection of a linker between the capture probe and the solid support that can be exposed to high temperatures in the presence of a high salt media. This article presents a general platform for the fabrication of a magnetic bead-based selective solid phase that can be used for subtractive hybridization or sequence capture applications. Phosphorus dendrimers are used for the first time as linkers in a magnetic bead-based selective solid phase for capture of genomic DNA. Aside from providing a high loading capacity, they render a stable bond between the capture probe and the surface under the high temperature and salt conditions required for denaturation and capture to proceed in a single step. The thermal stability of the solid phase under these conditions is first demonstrated by hybridizing a Cy3-labeled target. The selective capture of DNA targets in a single step is then demonstrated by subtractive hybridization of fragmented human genomic DNA. The specificity and selectivity of the solid phase are demonstrated by the recovery of adenovirus serotype 4 DNA spiked into the human DNA target. The effect of steric and electrostatic constraints was also investigated by using dendrimers of different generations that vary in their size and the number of branches. The results demonstrate that this platform can be used for single-step subtractive hybridization applications with better performance over the conventional two-step method using streptavidin-coated magnetic beads.

Adenoviridae↗

Broad-spectrum respiratory tract pathogen identification using resequencing DNA microarrays.

The exponential growth of pathogen nucleic acid sequences available in public domain databases has invited their direct use in pathogen detection, identification, and surveillance strategies. DNA microarray technology has offered the potential for the direct DNA sequence analysis of a broad spectrum of pathogens of interest. However, to achieve the practical attainment of this potential, numerous technical issues, especially nucleic acid amplification, probe specificity, and interpretation strategies of sequence detection, need to be addressed. In this report, we demonstrate an approach that combines the use of a custom-designed Affymetrix resequencing Respiratory Pathogen Microarray (RPM v.1) with methods for microbial nucleic acid enrichment, random nucleic acid amplification, and automated sequence similarity searching for broad-spectrum respiratory pathogen surveillance. Successful proof-of-concept experiments, utilizing clinical samples obtained from patients presenting adenovirus or influenza virus-induced febrile respiratory illness (FRI), demonstrate the ability of this approach for correct species- and strain-level identification with unambiguous statistical interpretation at clinically relevant sensitivity levels. Our results underscore the feasibility of using this approach to expedite the early surveillance of diseases, and provide new information on the incidence of multiple pathogens.

Bacterial Typing Techniques↗

Identifying influenza viruses with resequencing microarrays.

Identification of genetic variations of influenza viruses is essential for epidemic and pandemic outbreak surveillance and determination of vaccine strain selection. In this study, we combined a random amplification strategy with high-density resequencing microarray technology to demonstrate simultaneous detection and sequence-based typing of 25 geographically distributed human influenza virus strains collected in 2004 and 2005. In addition to identification, this method provided primary sequence information, which suggested that distinct lineages of influenza viruses co-circulated during the 2004-2005 season, and simultaneously identified and typed all component strains of the trivalent FluMist intranasal vaccine. The results demonstrate a novel, timely, and unbiased method for the molecular epidemiologic surveillance of influenza viruses.

Amino Acid Sequence↗

Co-infections of adenovirus species in previously vaccinated patients.

Despite the success of the adenovirus vaccine administered to US military trainees, acute respiratory disease (ARD) surveillance still detected breakthrough infections (respiratory illnesses associated with the adenovirus serotypes specifically targeted by the vaccine). To explore the role of adenoviral co-infection (simultaneous infection by multiple pathogenic adenovirus species) in breakthrough disease, we examined specimens from patients with ARD by using 3 methods to detect multiple adenoviral species: a DNA microarray, a polymerase chain reaction (PCR)-enzyme-linked immunosorbent assay, and a multiplex PCR assay. Analysis of 52 samples (21 vaccinated, 31 unvaccinated) collected from 1996 to 2000 showed that all vaccinated samples had co-infections. Most of these co-infections were community-acquired serotypes of species B1 and E. Unvaccinated samples primarily contained only 1 species (species E) associated with adult respiratory illness. This study highlights the rarely reported phenomenon of adenoviral co-infections in a clinically relevant environment suitable for the generation of new recombinational variants.

Adenovirus Infections, Human↗

Microarray-based detection of genetic heterogeneity, antimicrobial resistance, and the viable but nonculturable state in human pathogenic Vibrio spp.

The morbidity and mortality associated with Vibrio-mediated waterborne diseases necessitates the development of sensitive detection technologies that are able to elucidate the identity, potential pathogenicity, susceptibility, and viability of contaminating bacteria in a timely manner. For this purpose, we have designed a single multiplex PCR assay to simultaneously amplify 95 diagnostic regions (encompassing species/serogroup-specific, antimicrobial resistance, and known toxin markers) and combined it with a long oligonucleotide microarray to create a platform capable of rapidly detecting and discriminating the major human pathogenic species from the genus Vibrio: V. cholerae, V. parahaemolyticus, V. vulnificus, and V. mimicus. We were able to validate this strategy by testing 100 geographically and temporally distributed isolates and observed an excellent concordance between species- and serotype-level microarray-based identification and traditional typing methods. In addition to accurate identification, the microarray simultaneously provided evidence of antibiotic resistance genes and mobile genetic elements, such as sulfamethoxazole-trimethoprim constins and class I integrons, and common toxin (ctxAB, rtxA, hap, hlyA, tl, tdh, trh, vvhA, vlly, and vmhA) and pathogenicity (tcpA, type III secretion system) genes that are associated with pathogenic Vibrio. The versatility of this method was further underscored by its ability to detect the expression of known toxin and virulence genes from potentially harmful viable but nonculturable organisms. The results suggest that this molecular identification method provides rapid and definitive information that would be of value in epidemiological, environmental, and health risk assessment surveillance.

Anti-Infective Agents↗

Use of resequencing oligonucleotide microarrays for identification of Streptococcus pyogenes and associated antibiotic resistance determinants.

Group A streptococci (GAS) are responsible for a wide variety of human infections associated with considerable morbidity and mortality. Ever since the first systematic effort by Lancefield to group Streptococcus species by M protein variants, the detection and characterization of Streptococcus by different methods have been an evolving process. The ideal assay for GAS identification not only would provide quick and accurate diagnostic results but also would reveal antibiotic resistance patterns and genotype information, aiding not only in treatment but in epidemiologic assessment as well. The oligonucleotide microarray is a promising new technology which could potentially address this need. In this study, we evaluated the usefulness of oligonucleotide resequencing microarrays for identifying GAS and its associated antibiotic resistance markers. We demonstrated an assay platform that combines the use of resequencing DNA microarrays with either random nucleic acid amplification or multiplex PCR for GAS detection. When detecting Streptococcus pyogenes from coded clinical samples, this approach demonstrated an excellent concordance with a more established culture method. To this end, we showed the potential of resequencing microarrays for efficient and accurate detection of GAS and its associated antibiotic resistance markers with the benefit of sequencing information from microarray analysis.

Anti-Bacterial Agents↗

Simultaneous detection of four human pathogenic microsporidian species from clinical samples by oligonucleotide microarray.

Microsporidian species have been rapidly emerging as human enteric pathogens in immunocompromised and immunocompetent individuals in recent years. Routine diagnostic techniques for microsporidia in clinical laboratories are laborious and insensitive and tend to underestimate their presence. In most instances, they are unable to differentiate species of spores due to their small sizes and similar morphologies. In this study, we report the development of another protozoan oligonucleotide microarray assay for the simultaneous detection and identification to the species level of four major microsporidian species: Enterocytozoon bieneusi, Encephalitozoon cuniculi, Encephalitozoon hellem, and Encephalitozoon intestinalis. The 18S small-subunit rRNA gene was chosen as the amplification target, labeled with fluorescence dye, and hybridized to a series of species-specific oligonucleotide probes immobilized on a microchip. The specificity and sensitivity of the microarray were clearly demonstrated by the unique hybridization profiles exhibited by each species of microsporidian tested and its ability to detect as few as 10 spores. In order to assess the applicability of this microarray in a clinical setting, we conducted microarray assays of 20 fecal samples from AIDS patients. Twelve of these samples were positive for the presence of microsporidia and could be confidently identified; 11 of them were positive for more than one species. Our results suggested that this microarray-based approach represents an attractive diagnostic tool for high-throughput detection and identification of microsporidian species in clinical and epidemiological investigations.

Acquired Immunodeficiency Syndrome↗

Nucleic acid amplification strategies for DNA microarray-based pathogen detection.

DNA microarray-based screening and diagnostic technologies have long promised comprehensive testing capabilities. However, the potential of these powerful tools has been limited by front-end target-specific nucleic acid amplification. Despite the sensitivity and specificity associated with PCR amplification, the inherent bias and limited throughput of this approach constrain the principal benefits of downstream microarray-based applications, especially for pathogen detection. To begin addressing alternative approaches, we investigated four front-end amplification strategies: random primed, isothermal Klenow fragment-based, phi29 DNA polymerase-based, and multiplex PCR. The utility of each amplification strategy was assessed by hybridizing amplicons to microarrays consisting of 70-mer oligonucleotide probes specific for enterohemorrhagic Escherichia coli O157:H7 and by quantitating their sensitivities for the detection of O157:H7 in laboratory and environmental samples. Although nearly identical levels of hybridization specificity were achieved for each method, multiplex PCR was at least 3 orders of magnitude more sensitive than any individual random amplification approach. However, the use of Klenow-plus-Klenow and phi29 polymerase-plus-Klenow tandem random amplification strategies provided better sensitivities than multiplex PCR. In addition, amplification biases among the five genetic loci tested were 2- to 20-fold for the random approaches, in contrast to >4 orders of magnitude for multiplex PCR. The same random amplification strategies were also able to detect all five diagnostic targets in a spiked environmental water sample that contained a 63-fold excess of contaminating DNA. The results presented here underscore the feasibility of using random amplification approaches and begin to systematically address the versatility of these approaches for unbiased pathogen detection from environmental sources.

Antigens, Bacterial↗

Use of oligonucleotide microarrays for rapid detection and serotyping of acute respiratory disease-associated adenoviruses.

The cessation of the adenovirus vaccination program for military trainees has resulted in several recent acute respiratory disease (ARD) outbreaks. In the absence of vaccination, rapid detection methods are necessary for the timely implementation of measures to prevent adenovirus transmission within military training facilities. To this end, we have combined a fluorogenic real-time multiplex PCR assay with four sets of degenerate PCR primers that target the E1A, fiber, and hexon genes with a long oligonucleotide microarray capable of identifying the most common adenovirus serotypes associated with adult respiratory tract infections (serotypes 3, 4, 7, 16, and 21) and a representative member of adenovirus subgroup C (serotype 6) that is a common cause of childhood ARD and that often persists into adulthood. Analyses with prototype strains demonstrated unique hybridization patterns for representative members of adenovirus subgroups B(1), B(2), C, and E, thus allowing serotype determination. Microarray-based sensitivity assessments revealed lower detection limits (between 1 and 100 genomic copies) for adenovirus serotype 4 (Ad4) and Ad7 cell culture lysates, clinical nasal washes, and throat swabs and purified DNA from clinical samples. When adenovirus was detected from coded clinical samples, the results obtained by this approach demonstrated an excellent concordance with those obtained by the more established method of adenovirus identification as well as by cell culture with fluorescent-antibody staining. Finally, the utility of this method was further supported by its ability to detect adenoviral coinfections, contamination, and, potentially, recombination events. Taken together, the results demonstrate the usefulness of the simple and rapid diagnostic method developed for the unequivocal identification of ARD-associated adenoviral serotypes from laboratory or clinical samples that can be completed in 1.5 to 4.0 h.

Acute Disease↗

Detection and genotyping of Entamoeba histolytica, Entamoeba dispar, Giardia lamblia, and Cryptosporidium parvum by oligonucleotide microarray.

Entamoeba histolytica, Giardia lamblia, and Cryptosporidium parvum are the most frequently identified protozoan parasites causing waterborne disease outbreaks. The morbidity and mortality associated with these intestinal parasitic infections warrant the development of rapid and accurate detection and genotyping methods to aid public health efforts aimed at preventing and controlling outbreaks. In this study, we describe the development of an oligonucleotide microarray capable of detecting and discriminating between E. histolytica, Entamoeba dispar, G. lamblia assemblages A and B, and C. parvum types 1 and 2 in a single assay. Unique hybridization patterns for each selected protozoan were generated by amplifying six to eight diagnostic sequences/organism by multiplex PCR; fluorescent labeling of the amplicons via primer extension; and subsequent hybridization to a set of genus-, species-, and subtype-specific covalently immobilized oligonucleotide probes. The profile-based specificity of this methodology not only permitted for the unequivocal identification of the six targeted species and subtypes, but also demonstrated its potential in identifying related species such as Cryptosporidium meleagridis and Cryptosporidium muris. In addition, sensitivity assays demonstrated lower detection limits of five trophozoites of G. lamblia. Taken together, the specificity and sensitivity of the microarray-based approach suggest that this methodology may provide a promising tool to detect and genotype protozoa from clinical and environmental samples.

Animals↗

Assessing the feasibility of using neural precursor cells and peripheral blood mononuclear cells for detection of bioactive Sindbis virus.

Viruses form a significant class of bio-threat agents. Currently, the only method to determine the bioactivity of viruses in vitro is to measure viral and cellular responses after co-incubation of cells with virus. Our goal is to find biomarkers for classification of agents, establishment of bioactivity, and/or prediction of disease outcomes. To begin development of a cell-based biosensor for detection of bioactive Sindbis virus (SV), our model analyte, we surveyed the outcomes of SV interaction with primary rat neural precursor cells (NPC) and human peripheral blood mononuclear cells (PBMC). Confocal fluorescence analysis of NPC treated with recombinant SV carrying green-fluorescent-protein (SV-GFP) showed that most cells were GFP positive by day 1 post inoculation. 4',6-Diamidino-2-phenylindole dihydrochloride (DAPI) staining of the nucleus showed nuclear condensation and fragmentation, and the percentage of TUNEL positive cells were higher in virus-treated cells than in mock-treated control. Also, there were less BrdU positive cells in virus-treated cells compared to control. Thus, SV infects NPC, decreases cellular proliferation, and induces cell death via apoptosis. PBMC were treated with SV- or UV-inactivated SV. By day 5 post infection, there were fewer adherent cells in SV-treated PBMC compared to UV-inactivated SV treated PBMC. However, the percentage of viable cells remained the same, and virus growth curves showed only clearance of virus. Thus, SV induces detachment of a subpopulation of PBMC while not killing most of the cells. Together, these results indicate that NPC and PBMC respond to bioactive SV inoculation, suggesting potential use as detectors of SV in cell-based biosensor paradigm. These studies also provide the rationale, time-scale, and phenotypic correlates for further studies with gene expression arrays.

Animals↗

Acute neuropharmacologic action of chloroquine on cortical neurons in vitro.

Chloroquine, a common quinolone derivative used in the treatment of malaria, has been associated with neurologic side-effects including depression, psychosis and delirium. The neuropharmacologic effects of chloroquine were examined on cultured cortical neurons using microelectrode array (MEA) recording and the whole-cell patch clamp technique. Whole-cell patch clamp records under current-clamp mode also showed a chloroquine-induced depression of the firing rate of spontaneous action potentials by approximately 40%, consistent with the observations with the MEA recording, although no changes in either the baseline membrane potential or input resistance were observed. Voltage clamp recordings of spontaneous post-synaptic currents, recorded in the presence of tetrodotoxin, revealed no obvious changes in either the amplitude or rate of occurrence of inward currents with application of chloroquine at 10 microM, suggesting that the fundamental molecular mechanisms underlying spontaneous synaptic transmission may not be affected by acute application of the drug. In contrast, a concentration-dependent inhibition of whole-cell calcium current was observed in the presence of chloroquine. These acute neuropharmacologic changes were not accompanied by cytotoxic actions of the compound, even after exposure of up to 500 microM chloroquine for 7 h. These data suggest that chloroquine can depress in vitro neuronal activity, perhaps through inhibition of membrane calcium channels.

Action Potentials↗

Assessment of two methods for handling blood in collection tubes with RNA stabilizing agent for surveillance of gene expression profiles with high density microarrays.

Genome-wide expression studies of human blood samples in the context of epidemiologic surveillance are confronted by numerous challenges-one of the foremost being the capability to produce reliable detection of transcript levels. This led us to consider the Paxgene Blood RNA System, which consists of a stabilizing additive in an evacuated blood collection tube (PAX tube) and a sample processing kit (PAX kit). The PAX tube contains a solution that inhibits RNA degradation and gene induction as blood is drawn into the tube. The stability of RNA in PAX tubes under conditions for practical clinical applications has been determined by RT-PCR, but has not been assessed at the transcriptome level on Affymetrix microarrays. Here, we report a quality assured and controlled protocol that is capable of producing reliable gene expression profiles using the GeneChip system with RNA isolated from PAX tubes. Using this protocol, we compared quality metrics and gene-expression profiles of RNA, extracted from blood in PAX tubes that sat at room temperature for 2 h, with that of blood in PAX tubes incubated at room temperature for 9 h followed by storage at -20 degrees C for 6 days. Of numerous metrics, differences between the two handling methods were detected for the level of DNA contamination, RNA yield, and double stranded cDNA yield. Analysis of variance of gene-expression revealed small but significant differences between the handling methods. These results contribute to the determination of protocols for clinical studies and progress us towards the goal of using the transcriptome in diagnosis and surveillance.

Blood Specimen Collection↗

Effects of collagen matrix on Sindbis virus infection of BHK cells.

The effects of extracellular matrix (ECM) components on the outcomes of alphavirus interaction with cells are not known. Studies that address such interactions have to address several methodological difficulties, including: the survival of the cells within the matrix; the passage of the virus through the matrix to infect embedded cells; and the dissociation of cells and matrix into single-cell suspension, before and after virus infection, for quantitative analysis. Herein, these issues were addressed in the context of a model system of collagen as the ECM component, baby hamster kidney (BHK) cells, and Sindbis virus. The outcomes of Sindbis virus infection of BHK cells, grown in three-dimensional (3D) collagen gel versus on plastic, and on two-dimensional (2D) collagen versus bovine serum albumin (BSA)-coated surfaces were compared. Cell morphology was more slender in 3D and on 2D collagen than on plastic or BSA-coated surfaces. The cells were able to survive in the 3D environment. Using Sindbis virus carrying the green fluorescent protein gene, the virions were found to be capable of penetrating the 3D collagen matrix and infecting the cells. There was more infectious virus in cultures of cells in 3D and on 2D collagen than on plastic or BSA-coated surfaces, respectively. Higher virus titers from cells on 2D collagen compared to BSA-coated surfaces was not associated with uninfected cell number or viability but with increased cell survival after infection. Infected cells on BSA surfaces became detached, while those on 2D collagen remained attached. These experiments establish procedures for analysis of interaction of collagen, BHK cells, and Sindbis virus and suggest that collagen increases infectious Sindbis virus titers from BHK cells by enhancing post-infection cell survival.

Animals↗

Biological threat detection via host gene expression profiling.

With the increased threat posed by biological weapons, detection techniques for biothreat pathogens are critically needed to monitor and assess the severity of the illness once exposure has occurred. Current approaches for detecting biological threats are either time-consuming or highly specific but provide little information regarding pathogenicity. Genotyping of pathogens by PCR provides a fast and definitive means for identifying pathogens, but reliance on pathogen genotypic endpoints has several limitations. Current progress in DNA microarrays technology provides an alternative way to address the issues faced by traditional detection systems through host gene expression profiles of peripheral blood cells. We discuss the advantages and critical issues facing the use of host gene expression profiling for biological threat detection.

Bioterrorism↗