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Background Disseminated fungal infections are a known serious complication in individuals with cystic fibrosis (CF) following orthotopic lung transplantation. Aspergillus fumigatus and Scedosporium species are among the more common causes of invasive fungal infection in this population. However, it is also important for clinicians to be aware of other emerging fungal species which may require markedly different antifungal therapies. Case summary We describe the first laboratory-documented case of a fatal disseminated fungal infection caused by Rasamsonia aegroticola in a 21-year-old female CF patient status post-bilateral lung transplantation, which was only identified post-mortem. Molecular analysis revealed the presence of the identical Rasamsonia strains in the patient's respiratory cultures preceding transplantation. Discussion We propose that the patient's disseminated fungal disease and death occurred as a result of recrudescence of Rasamsonia infection from her native respiratory system in the setting of profound immunosuppression post-operatively. Since Rasamsonia species have been increasingly recovered from the respiratory tract of CF patients, we further review the literature on these fungi and discuss their association with invasive fungal infections in the CF lung transplant host. Conclusion Our report suggests Rasamsonia species may be important fungal pathogens that may have fatal consequences in immunosuppressed CF patients after solid organ transplantation.

The incidence of invasive fungal infections is on the rise worldwide due to the growth of the immunocompromised population. We report here the use of a diagnostic assay that utilizes a universal extraction method, broad spectrum PCR amplification and analysis via electrospray ionization mass spectrometry (PCR/ESI-MS) to detect and identify more than 200 pathogenic fungi directly from bronchoalveolar lavage (BAL) specimens in less than 8 hours. In this study, we describe both analytical and clinical performance of the assay, when run with prospectively collected clinical BAL specimens. In 146 patients with probable and possible fungal infections defined by EORTC/MSG (European Organization for Research and Treatment of Cancer/Mycoses Study Group) criteria, the PCR/ESI-MS assay demonstrated a sensitivity of 90.9% (95% CI: 76.4–96.9%) and a specificity of 82.3% (95% CI: 74.2–88.2%). This data demonstrates the utility of a non-culture based broad fungal targets molecular diagnostic tool for rapid and accurate diagnosis of invasive fungal infections in patients at risk of developing fungal diseases.

Diagnosis of the etiologic agent of respiratory viral infection relies traditionally on culture or antigen detection. This pilot was conducted evaluation comparing performance characteristics of the RT-PCR and Electrospray Ionization Mass Spectrometry (RT-PCR/ESI-MS) platform to conventional virological methods for identifying multiple clinically relevant respiratory viruses in nasopharyngeal aspirates. The RT-PCR/ESI-MS respiratory virus surveillance kit was designed to detect respiratory syncytial virus, influenza A and B, parainfluenza types 1-4, adenoviridae types A-F, coronaviridae, human bocavirus, and human metapneumovirus. Patients (N=192) attending an emergency department during the 2007-8 respiratory season consented, and “excess” frozen archived nasopharyngeal aspirates were analysed; 46 were positive by conventional virology and 69 by RT-PCR/ESI-MS, among which there were six samples with multiple viral pathogens detected. The sensitivity and specificity of the assay were 89.1% and 80.3%, respectively. Additional viruses that were not identified by conventional virology assays were detected (4 human bocaviruses and 7 coronaviruses). Samples in which the RT-PCR/ESI-MS results disagreed with conventional virology were sent for analysis by a third method using a commercial RT-PCR-based assay, which can identify viruses not detectable by conventional virologic procedures. Time to first result of RT-PCR/ESI-MS was 8 hours. RT-PCR/ESI-MS demonstrated capacity to detect respiratory viruses identifiable and unidentifiable by conventional methods rapidly.

Diagnosis of respiratory viruses traditionally relies on culture or antigen detection. We aimed to demonstrate capacity of the reverse transcription polymerase chain reaction/electrospray ionization mass spectrometry (RT-PCR/ESI-MS) platform to identify clinical relevant respiratory viruses in nasopharyngeal aspirate (NPA) samples and compare the diagnostic performance characteristics relative to conventional culture- and antigen-based methods. An RT-PCR/ESI-MS respiratory virus surveillance kit designed to detect respiratory syncytial virus, influenza A and B, parainfluenza types 1-4, Adenoviridae types A-F, Coronaviridae, human bocavirus, and human metapneumovirus was evaluated using both mock-ups and frozen archived NPA (N = 280), 95 of which were positive by clinical virology methods. RT-PCR/ESI-MS detected 74/95 (77.9%) known positive samples and identified an additional 13/185 (7%) from culture-negative samples. Viruses that are nondetectable with conventional methods were also identified. Viral load was semiquantifiable and ranged from 2400 to >320 000 copies/mL. Time to results was 8 h. RT-PCR/ESI-MS showed promise in rapid detection of respiratory viruses and merits further evaluation for use in clinical settings.

Flaviviruses are a highly diverse group of RNA viruses classified within the genus Flavivirus, family Flaviviridae. Most flaviviruses are arthropod-borne, requiring a mosquito or tick vector. Several flaviviruses are highly pathogenic to humans; however, their high genetic diversity and immunological relatedness makes them extremely challenging to diagnose. In this study, we developed and evaluated a broad-range Flavivirus assay designed to detect both tick- and mosquito-borne flaviviruses by using RT-PCR/electrospray ionization mass spectrometry (RT-PCR/ESI-MS) on the Ibis T5000 platform. The assay was evaluated with a panel of 13 different flaviviruses. All samples were correctly identified to the species level. To determine the limit of detection for the mosquito-borne primer sets, serial dilutions of RNA from West Nile virus (WNV) were assayed and could be detected down to an equivalent viral titer of 0.2 plaque-forming units/mL. Analysis of flaviviruses in their natural biological background included testing Aedes aegypti mosquitoes that were laboratory-infected with dengue-1 virus. The assay accurately identified the virus within infected mosquitoes, and we determined the average viral genome per mosquito to be 2.0 x 10(6). Using human blood, serum, and urine spiked with WNV and mouse blood and brain tissues from Karshi virus-infected mice, we showed that these clinical matrices did not inhibit the detection of these viruses. Finally, we used the assay to test field-collected Ixodes scapularis ticks collected from sites in New York and Connecticut. We found 16/322 (5% infection rate) ticks positive for deer tick virus, a subtype of Powassan virus. In summary, we developed a single high-throughput Flavivirus assay that could detect multiple tick- and mosquito-borne flaviviruses and thus provides a new analytical tool for their medical diagnosis and epidemiological surveillance.

Members of the genus Alphavirus are a diverse group of principally mosquito-borne RNA viruses. There are at least 29 species and many more subtypes of alphaviruses and some are considered potential bioweapons. We have developed a multi-locus RT-PCR followed by electrospray ionization mass spectrometry (RT-PCR/ESI-MS) assay that uses the amplicon base compositions to detect and identify alphaviruses. A small set of primer pairs targeting conserved sites in the alphavirus RNA genome were used to amplify a panel of 36 virus isolates representing characterized Old World and New World alphaviruses. Base compositions from the resulting amplicons could be used to unambiguously determine the species or subtype of 35 of the 36 isolates. The assay detected, without culture, Venezuelan equine encephalitis virus (VEEV), Eastern equine encephalitis virus (EEEV), and mixtures of both in pools consisting of laboratory-infected and -uninfected mosquitoes. Further, the assay was used to detect alphaviruses in naturally occurring mosquito vectors collected from locations in South America and Asia. Mosquito pools collected near Iquitos, Peru, were found to contain an alphavirus with a very distinct signature. Subsequent sequence analysis confirmed that the virus was a member of the Mucambo virus species (subtype IIID in the VEEV complex). The assay we have developed provides a rapid, accurate, and high-throughput assay for surveillance of alphaviruses.

In this work, we describe a strategy for the detection and characterization of microorganisms associated with a potential biological warfare attack or a natural outbreak of an emerging infectious disease. This approach, termed TIGER (Triangulation Identification for the Genetic Evaluation of Risks), relies on mass spectrometry-derived base composition signatures obtained from PCR amplification of broadly conserved regions of the microbial genome(s) in a sample. The sample can be derived from air filtration devices, clinical samples, or other sources. Core to this approach are “intelligent PCR primers” that target broadly conserved regions of microbial genomes that flank variable regions. This approach requires that high-performance mass measurements be made on PCR products in the 80–140 bp size range in a high-throughput, robust modality. As will be demonstrated, the concept is equally applicable to bacteria and viruses and could be further applied to fungi and protozoa. In addition to describing the fundamental strategy of this approach, several specific examples of TIGER are presented that illustrate the impact this approach could have on the way biological weapons attacks are detected and the way that the etiologies of infectious diseases are determined. The first example illustrates how any bacterial species might be identified, using Bacillus anthracis as the test agent. The second example demonstrates how DNA-genome viruses are identified using five members of Poxviridae family, whose members includes Variola virus, the agent responsible for smallpox. The third example demonstrates how RNA-genome viruses are identified using the Alphaviruses (VEE, WEE, and EEE) as representative examples. These examples illustrate how the TIGER technology can be applied to create a universal identification strategy for all pathogens, including those that infect humans, livestock, and plants.

(vi) 0.12 M 2-fluoro-5-nitrobenzoic acid, 0.12 M HATU, 0.25 M collidine, DMF/DCM (1/1; v/v), 24 h; (vii) 0.2 M TREAT-HF, THF, 24 h; (viii) 0.2 M DBU, DMF; (ix) 1.5 M SnCl2, DMF/EtOH (10:1); (x) 0.12 M carboxylic acid (R 4 CO2H), 0.12 M HATU, 0.25 M collidine

The recent explosion in available bacterial genome sequences has initiated the need to improve an ability to annotate important sequence and structural elements in a fast, efficient and accurate manner. In particular, small non-coding RNAs (sRNAs) have been difficult to predict. The sRNAs play an important number of structural, catalytic and regulatory roles in the cell. Although a few groups have recently published prediction methods for annotating sRNAs in bacterial genome, much remains to be done in this field. Toward the goal of developing an efficient method for predicting unknown sRNA genes in the completed Escherichia coli genome, we adopted a bioinformatics approach to search for DNA regions that contain a σ70 promoter within a short distance of a rho-independent terminator. Among a total of 227 candidate sRNA genes initially identified, 32 were previously described sRNAs, orphan tRNAs, and partial tRNA and rRNA operons. Fifty-one are mRNAs genes encoding annotated extremely small open reading frames (ORFs) following an acceptable ribosome binding site. One hundred forty-four are potentially novel non-translatable sRNA genes. Using total RNA isolated from E. coli MG1655 cells grown under four different conditions, we verified transcripts of some of the genes by Northern hybridization. Here we summarize our data and discuss the rules and advantages/disadvantages of using this approach in annotating sRNA genes on bacterial genomes.