Strain-Dependent Assessment of Powassan Virus Transmission to Ixodes scapularis Ticks.

Powassan virus (POWV) is an emerging tick-borne encephalitic virus in Lyme disease-endemic sites in North America. Due to range expansion and local intensification of blacklegged tick vector (Ixodes scapularis) populations in the northeastern and upper midwestern U.S., human encephalitis cases are increasingly being reported. A better understanding of the transmission cycle between POWV and ticks is required in order to better predict and understand their public health burden. Recent phylogeographic analyses of POWV have identified geographical structuring, with well-defined northeastern and midwestern clades of the lineage II subtype. The extent that geographic and genetically defined sublineages differ in their ability to infect and be transmitted by blacklegged ticks is unclear. Accordingly, we determined whether there are strain-dependent differences in the transmission of POWV to ticks at multiple life stages. Five recent, low-passage POWV isolates were used to measure aspects of vector competence, using viremic and artificial infection methods. Infection rates in experimental ticks remained consistent between all five isolates tested, resulting in a 12-20% infection rate and some differences in viral load. We confirm that these differences are likely not due to differences in host viremia. Our results demonstrate that blacklegged ticks are susceptible to, and capable of transmitting, all tested strains and suggest that the tick-virus association is stable across diverse viral genotypes.

Women's response to, awareness of, and interest in body functionality content on Instagram.

Body functionality is an emerging positive body image construct which may help women value what their body can do, rather than how it looks. In this online experimental study, we examined women's responses to functionality content on Instagram. Young women (N = 318, Mage =22.19) viewed one of four types of Instagram posts: functionality text and images, functionality text overlaid on fitspiration images, standard fitspiration images, or cityscapes. They completed pre- and post-test state measures of appearance and functionality satisfaction and self-care intent, and post-test social comparison. Familiarity with contemporary social media trends and interest in functionality content were also assessed. Surprisingly, appearance and functionality satisfaction were highest after viewing the functionality and functionality with fitspiration images. Social comparison did not differ between conditions. Women were familiar with body positive concepts, except body functionality, although they expressed interest in this content. We conclude body functionality content would be useful to include in women's social media feeds.

Fast Evaluation of Viral Emerging Risks (FEVER): A computational tool for biosurveillance, diagnostics, and mutation typing of emerging viral pathogens.

Viral pathogens can rapidly evolve, adapt to novel hosts, and evade human immunity. The early detection of emerging viral pathogens through biosurveillance coupled with rapid and accurate diagnostics are required to mitigate global pandemics. However, RNA viruses can mutate rapidly, hampering biosurveillance and diagnostic efforts. Here, we present a novel computational approach called FEVER (Fast Evaluation of Viral Emerging Risks) to design assays that simultaneously accomplish: 1) broad-coverage biosurveillance of an entire group of viruses, 2) accurate diagnosis of an outbreak strain, and 3) mutation typing to detect variants of public health importance. We demonstrate the application of FEVER to generate assays to simultaneously 1) detect sarbecoviruses for biosurveillance; 2) diagnose infections specifically caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); and 3) perform rapid mutation typing of the D614G SARS-CoV-2 spike variant associated with increased pathogen transmissibility. These FEVER assays had a high in silico recall (predicted positive) up to 99.7% of 525,708 SARS-CoV-2 sequences analyzed and displayed sensitivities and specificities as high as 92.4% and 100% respectively when validated in 100 clinical samples. The D614G SARS-CoV-2 spike mutation PCR test was able to identify the single nucleotide identity at position 23,403 in the viral genome of 96.6% SARS-CoV-2 positive samples without the need for sequencing. This study demonstrates the utility of FEVER to design assays for biosurveillance, diagnostics, and mutation typing to rapidly detect, track, and mitigate future outbreaks and pandemics caused by emerging viruses.

Optical Biosensor Platforms Display Varying Sensitivity for the Direct Detection of Influenza RNA.

Detection methods that do not require nucleic acid amplification are advantageous for viral diagnostics due to their rapid results. These platforms could provide information for both accurate diagnoses and pandemic surveillance. Influenza virus is prone to pandemic-inducing genetic mutations, so there is a need to apply these detection platforms to influenza diagnostics. Here, we analyzed the Fast Evaluation of Viral Emerging Risks (FEVER) pipeline on ultrasensitive detection platforms, including a waveguide-based optical biosensor and a flow cytometry bead-based assay. The pipeline was also evaluated in silico for sequence coverage in comparison to the U.S. Centers for Disease Control and Prevention's (CDC) influenza A and B diagnostic assays. The influenza FEVER probe design had a higher tolerance for mismatched bases than the CDC's probes, and the FEVER probes altogether had a higher detection rate for influenza isolate sequences from GenBank. When formatted for use as molecular beacons, the FEVER probes detected influenza RNA as low as 50 nM on the waveguide-based optical biosensor and 1 nM on the flow cytometer. In addition to molecular beacons, which have an inherently high background signal we also developed an exonuclease selection method that could detect 500 pM of RNA. The combination of high-coverage probes developed using the FEVER pipeline coupled with ultrasensitive optical biosensors is a promising approach for future influenza diagnostic and biosurveillance applications.

Nucleic Acid-Based Sensing Techniques for Diagnostics and Surveillance of Influenza.

Influenza virus poses a threat to global health by causing seasonal outbreaks as well as three pandemics in the 20th century. In humans, disease is primarily caused by influenza A and B viruses, while influenza C virus causes mild disease mostly in children. Influenza D is an emerging virus found in cattle and pigs. To mitigate the morbidity and mortality associated with influenza, rapid and accurate diagnostic tests need to be deployed. However, the high genetic diversity displayed by influenza viruses presents a challenge to the development of a robust diagnostic test. Nucleic acid-based tests are more accurate than rapid antigen tests for influenza and are therefore better candidates to be used in both diagnostic and surveillance applications. Here, we review various nucleic acid-based techniques that have been applied towards the detection of influenza viruses in order to evaluate their utility as both diagnostic and surveillance tools. We discuss both traditional as well as novel methods to detect influenza viruses by covering techniques that require nucleic acid amplification or direct detection of viral RNA as well as comparing advantages and limitations for each method. There has been substantial progress in the development of nucleic acid-based sensing techniques for the detection of influenza virus. However, there is still an urgent need for a rapid and reliable influenza diagnostic test that can be used at point-of-care in order to enhance responsiveness to both seasonal and pandemic influenza outbreaks.

Formulation of stabilizer-free, nontoxic PLGA and elastin-PLGA nanoparticle delivery systems.

Biocompatible nanoparticles composed of poly(lactic-co-glycolic acid) (PLGA) are used as drug and vaccine delivery systems because of their tunability in size and sustained release of cargo molecules. While the use of toxic stabilizers such as polyvinyl alcohol (PVA) limit the utility of PLGA, stabilizer-free PLGA nanoparticles are rarely used because they can be challenging to prepare. Here, we developed a tunable, stabilizer-free PLGA nanoparticle formulation capable of encapsulating plasmid DNA and demonstrated the formation of an elastin-like polymer PLGA hybrid nanoparticle with exceptional stability and biocompatibility. A suite of PLGAs were fabricated using solvent evaporation methods and assessed for particle size and stability in water. We find that under physiological conditions (PBS at 37˚C), the most stable PLGA formulation (P4) was found to contain a greater L:G ratio (65:35), lower MW, and carboxyl terminus. Subsequent experiments determined P4 nanoparticles were as stable as those made with PVA, yet significantly less cytotoxic. Variation in particle size was achieved through altering PLGA stoichiometry while maintaining the ability to encapsulate DNA and were modified with elastin-like polymers for increased immune tolerance. Overall, a useful method for tunable, stabilizer-free PLGA nanoparticle formulation was developed for use in drug and vaccine delivery, and immune targeting.