Sex and molecular differences in cardiovascular parameters at peak influenza disease in mice.

There is a growing interest in the detection of subtle changes in cardiovascular physiology in response to viral infection to develop better disease surveillance strategies. This is not only important for earlier diagnosis and better prognosis of symptomatic carriers but also useful to diagnose asymptomatic carriers of the virus. Previous studies provide strong evidence of an association between inflammatory biomarker levels and both blood pressure (BP) and heart rate (HR) during infection.

Race and Sex Differences in Vital Signs Associated with COVID-19 and Flu Diagnoses in Mississippi.

Early detection of viral infections, such as COVID-19 and flu, have potential to reduce risk of morbidity, mortality, and disease transmission through earlier intervention strategies. For example, detecting changes in vital signs have the potential to more rapidly diagnose respiratory virus diseases. The objective of this study was to utilize the University of Mississippi Medical Center's extensive clinical database (EPIC) to investigate associations between temperature, pulse rate, blood pressure (BP), and respiration rate in COVID-19 and flu diagnosed patients.

Cellular co-infection can modulate the efficiency of influenza A virus production and shape the interferon response.

During viral infection, the numbers of virions infecting individual cells can vary significantly over time and space. The functional consequences of this variation in cellular multiplicity of infection (MOI) remain poorly understood. Here, we rigorously quantify the phenotypic consequences of cellular MOI during influenza A virus (IAV) infection over a single round of replication in terms of cell death rates, viral output kinetics, interferon and antiviral effector gene transcription, and superinfection potential.

A genomic resource for the sedentary semi-endoparasitic reniform nematode, Linford & Oliveira.

The reniform nematode () is a sedentary semi-endoparasitic species that is pathogenic on many row crops, fruits, and vegetables. Here, the authors present a draft genome assembly of . using small- and large-insert libraries sequenced on the Illumina GAIIx and MiSeq platforms.

Sequencing Framework for the Sensitive Detection and Precise Mapping of Defective Interfering Particle-Associated Deletions across Influenza A and B Viruses.

The mechanisms and consequences of defective interfering particle (DIP) formation during influenza virus infection remain poorly understood. The development of next-generation sequencing (NGS) technologies has made it possible to identify large numbers of DIP-associated sequences, providing a powerful tool to better understand their biological relevance. However, NGS approaches pose numerous technical challenges, including the precise identification and mapping of deletion junctions in the presence of frequent mutation and base-calling errors, and the potential for numerous experimental and computational artifacts.

Flu Shows the Power of Diversity.

Morphological variation is a common yet poorly understood feature of influenza virus populations. Vahey and Fletcher reveal that the production of physically and phenotypically heterogeneous particles is an inherent feature of the influenza assembly process that may promote virus survival in challenging environments.

Five life stage-specific transcriptome assemblies for the reniform nematode, Linford & Oliveira.

The reniform nematode ( Linford and Oliveira) is a semi-endoparasitic nematode that is a pathogen of numerous major crops such as cotton and soybean. Here, the authors present transcriptome assemblies of the egg, second-stage juvenile (J2), J3, vermiform adult, and sedentary female life stages of this important plant pathogen. The reniform nematode ( Linford and Oliveira) is a semi-endoparasitic nematode that is a pathogen of numerous major crops such as cotton and soybean.

The genome of the cotton bacterial blight pathogen pv. strain MSCT1.

pv. is a major pathogen of cotton, L..

Feral Swine in the United States Have Been Exposed to both Avian and Swine Influenza A Viruses.

Influenza A viruses (IAVs) in swine can cause sporadic infections and pandemic outbreaks among humans, but how avian IAV emerges in swine is still unclear. Unlike domestic swine, feral swine are free ranging and have many opportunities for IAV exposure through contacts with various habitats and animals, including migratory waterfowl, a natural reservoir for IAVs. During the period from 2010 to 2013, 8,239 serum samples were collected from feral swine across 35 U.

Detection of Antigenic Variants of Subtype H3 Swine Influenza A Viruses from Clinical Samples.

A large population of genetically and antigenically diverse influenza A viruses (IAVs) are circulating among the swine population, playing an important role in influenza ecology. Swine IAVs not only cause outbreaks among swine but also can be transmitted to humans, causing sporadic infections and even pandemic outbreaks. Antigenic characterizations of swine IAVs are key to understanding the natural history of these viruses in swine and to selecting strains for effective vaccines.

Association analyses of large-scale glycan microarray data reveal novel host-specific substructures in influenza A virus binding glycans.

Influenza A viruses can infect a wide variety of animal species and, occasionally, humans. Infection occurs through the binding formed by viral surface glycoprotein hemagglutinin and certain types of glycan receptors on host cell membranes. Studies have shown that the α2,3-linked sialic acid motif (SA2,3Gal) in avian, equine, and canine species; the α2,6-linked sialic acid motif (SA2,6Gal) in humans; and SA2,3Gal and SA2,6Gal in swine are responsible for the corresponding host tropisms.

Detection of influenza antigenic variants directly from clinical samples using polyclonal antibody based proximity ligation assays.

Identification of antigenic variants is the key to a successful influenza vaccination program. The empirical serological methods to determine influenza antigenic properties require viral propagation. Here a novel quantitative PCR-based antigenic characterization method using polyclonal antibody and proximity ligation assays, or so-called polyPLA, was developed and validated.