Novel cyanide countermeasures are needed for cases of a mass-exposure cyanide emergency. A lead candidate compound is dimethyl trisulfide (DMTS), which acts as a sulfur donor for rhodanese, thereby assisting the conversion of cyanide into thiocyanate. DMTS is a safe compound for consumption and, in a 15 % polysorbate 80 (DMTS-PS80) formulation, has demonstrated good efficacy against cyanide poisoning in several animal models. We performed a stability study that investigated the effect of temperature, location of formulation preparation, and pH under buffered conditions. We found that while the stability of the DMTS component was fairly independent of which laboratory prepared the formulation, the concentration of DMTS in the formulation was reduced 36–58 % over the course of 29 weeks when stored at room temperature. This loss typically increased with increasing temperatures, although we did not find statistical differences between the stability at different storage temperatures in all formulations. Further, we found that addition of a light buffer negatively impacted the stability, whereas the pH of that buffer did not impact stability. We investigated the factors behind the reduction of DMTS over time using various techniques, and we suggest that the instability of the formulation is governed at least partially by precipitation and evaporation, although a combination of factors is likely involved.Electronic supplementary materialThe online version of this article (doi:10.1007/s40268-016-0122-3) contains supplementary material, which is available to authorized users.

Bioengineering applies analytical and engineering principles to identify functional biological building blocks for biotechnology applications. While these building blocks are leveraged to improve the human condition, the lack of simplistic, machine-readable definition of biohazards at the function level is creating a gap for biosafety practices. More specifically, traditional safety practices focus on the biohazards of known pathogens at the organism-level and may not accurately consider novel biodesigns with engineered functionalities at the genetic component-level. This gap is motivating the need for a paradigm shift from organism-centric procedures to function-centric biohazard identification and classification practices. To address this challenge, we present a novel methodology for classifying biohazards at the individual sequence level, which we then compiled to distinguish the biohazardous property of pathogenicity at the whole genome level. Our methodology is rooted in compilation of hazardous functions, defined as a set of sequences and associated metadata that describe coarse-level functions associated with pathogens (e.g., adherence, immune subversion). We demonstrate that the resulting database can be used to develop hazardous “fingerprints” based on the functional metadata categories. We verified that these hazardous functions are found at higher levels in pathogens compared to non-pathogens, and hierarchical clustering of the fingerprints can distinguish between these two groups. The methodology presented here defines the hazardous functions associated with bioengineering functional building blocks at the sequence level, which provide a foundational framework for classifying biological hazards at the organism level, thus leading to the improvement and standardization of current biosecurity and biosafety practices.

Traditional clinical microbiology-based diagnostic tests rely on targeted methods that can detect only one to a few preselected organisms or slow, culture-based methods. Although widely used today, these methods have several limitations, resulting in rates of cases of an unknown etiology of infection of >50% for several disease types.

Applied metagenomics is a powerful emerging capability enabling untargeted detection of pathogens, and its application in clinical diagnostics promises to alleviate the limitations of current targeted assays. While metagenomics offers a hypothesis-free approach to identify any pathogen, including unculturable and potentially novel pathogens, its application in clinical diagnostics has so far been limited by workflow-specific requirements, computational constraints, and lengthy expert review requirements. To address these challenges, we developed UltraSEQ, a first-of its kind metagenomics-based clinical diagnostics and biosurveillance tool that is accurate and scalable. Here we present results for evaluation of our novel UltraSEQ pipeline using an in silico synthesized metagenome, mock microbial community datasets, and publicly available clinical datasets from samples of different infection types, and both short-read and long-read sequencing data. Our results show that UltraSEQ successfully detected all expected species across the tree of life in the in silico sample and detected all 10 bacterial and fungal species in the mock microbial community dataset. For clinical datasets, even without requiring dataset-specific configuration settings changes, background sample subtraction, or prior sample information, UltraSEQ achieved an overall accuracy of 91%. Further, we demonstrated UltraSEQ’s ability to provide accurate antibiotic resistance and virulence factor genotypes that are consistent with phenotypic results. Taken together, the above results demonstrates that the UltraSEQ platform offers a transformative approach to microbial and metagenomic sample characterization, employing a biologically informed detection logic, deep metadata, and a flexible system architecture for classification and characterization of taxonomic origin, gene function, and user-defined functions, including disease-causing infection.

Ricin toxin may be used as a biological warfare agent and no medical countermeasures are currently available. Here, a well-characterized lot of ricin was aerosolized to determine the delivered dose for future pre-clinical efficacy studies.  Mouse intraperitoneal (IP) median lethal dose (LD ) bioassay measured potency at 5.62 and 7.35 μg/kg on Days 0 and 365, respectively. Additional analyses included total protein, sodium dodecyl sulfate polyacrylamide gel electrophoresis, Western blotting, and rabbit reticulocyte lysate activity assay. The nebulizer aerosol produced consistent concentrations (2.5 × 10 , 5.0 × 10 , 1.0 × 10 , and 1.5 × 10 μg/mL) and spray factor values. The aerosol particle size distribution was of sufficient size to deposit in lung alveoli (1.12-1.43 μm). Ricinus communis Agglutinin II (RCA 60), prepared at 19 mg/mL in phosphate-buffered saline, pH 7.8, and stored at -70°C, maintained attributes for toxicity following 1-year storage and aerosolized consistently.