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Hunte, M. L.

Publications and source records attributed to Hunte, M. L..

2 recordsLinked to original sources

Mutations and predicted glycosylation patterns in respiratory syncytial virus isolates correlate with disease severity.

Respiratory syncytial virus (RSV) remains an important cause of lower respiratory tract infections in young children, producing mild to life-threatening disease. Although rapid viral evolution through genetic drift is well established, the structural and functional impacts of specific pathoadaptive mutations linked to enhanced virulence are poorly defined. We investigated these relationships by isolating RSV from available nasal swabs of five hospitalized infants during the 2022-2023 winter season and conducting comparative viral genomic analysis. Severity of disease was evaluated using a validated clinical scoring system. Whole-genome sequencing followed by reference-guided assembly and structural modeling revealed distinct amino acid polymorphisms correlating with disease severity. Phylogenetic analysis placed all isolates within the RSV-A GA2.3.5 G clade. Isolates from mild moderate and severe cases clustered in A.D.1.5 and A.D.1.8 subclades. Nineteen amino acid differences were associated with clinical severity and isolates from moderate or severe cases replicated more rapidly in vitro than mild isolates. Computational glycosylation predictions indicated an increasing number of glycosylation sites in the G protein corresponding with greater disease severity. Together, these data suggest that specific pathoadaptive mutations may contribute to enhanced viral replication and severity, and are relevant for future surveillance efforts and the development of immune-based strategies targeting virulence-associated residues.

microbiology↗

A 14-Color Blue-Violet Laser Restricted Full Spectrum Flow Cytometry Panel for Comprehensive Immunophenotyping of Pulmonary Inflammation in Mouse Bronchoalveolar Lavage Fluid

Here we describe a 16-parameter, 14-color surface staining panel optimized for murine bronchoalveolar lavage cells that enables reproducible identification of major innate and adaptive immune populations relevant to pulmonary infections or other inflammatory conditions of the airways. The panel enables confident identification of neutrophils, eosinophils, B cells, T cells and subtypes, NK cells, and distinguishes between tissue resident and monocyte-derived macrophages populations. The panel was carefully designed for BAL samples that vary in cell number, are rich in debris, and often autofluorescent. Antibody concentrations are optimized to provide reproducible results regardless of sample-variable cell numbers allowing for the preparation of a single antibody cocktail master mix and rapid sample staining time, thereby cutting down on sample preparation and optimizing cell viability of analyzed samples. The panel facilitates robust cross-sectional and longitudinal comparison of airway inflammation across different airway inflammatory conditions, infections by different respiratory pathogens, impact of vaccination or therapeutics on the inflammatory landscape, and more. It facilitates hypothesis generation by revealing recruitment kinetics and remodeling of myeloid compartments, supports downstream sorting for transcriptomic or functional assays, and provides a standardized baseline for labs to adopt or extend for activation or intracellular cytokine analyses. We have successfully utilized this panel to identify differential host responses to different respiratory Mycoplasma pathogens as well as to longitudinally track the progression of inflammatory response to Mycoplasma pneumoniae over a 21-day time course study. This panel provides an economic immunophenotyping option by utilizing only 14 markers and a two laser (Blue and Violet) full spectrum cytometer to provide comprehensive immunophenotyping power of both myeloid and lymphoid cells. Furthered by lacking the requirement for advanced unmixing for sample analysis, the panel can be easily adopted by the community, enabling comparative meta-analyses of host responses across murine respiratory infection models.

immunology↗