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Goddard, J.

Publications and source records attributed to Goddard, J..

3 recordsLinked to original sources

Inflammasome Activation and IL-1β Release in Alveolar Macrophages Infected with Pseudomonas aeruginosa is Reduced in Hypoxia

Pseudomonas aeruginosa is an important agent of acute or chronic airway infections. A complex set of genetic and environmental factors determine the outcome of a P. aeruginosa airway infection. P. aeruginosa can undergo genetic adaptation to fine tune the expression of a type III secretion system (T3SS) and other virulence factors in response to selective pressures encountered during infection. Genetic and environmental factors predispose many patient groups for P. aeruginosa infections, including people with cystic fibrosis (pwCF). CF is a genetic disorder resulting in areas of hypoxia and thick mucus that fosters P. aeruginosa airway infection. Resident alveolar macrophages (AMs) help coordinate immune responses to P. aeruginosa in airways by producing proinflammatory cytokines such as IL-1{beta}, which can be important for infection resistance. AMs infected with laboratory strains of P. aeruginosa detect the T3SS and activate the NLRC4 inflammasome, resulting in IL-1{beta} release. Studies of inflammasome responses in AMs to a clinical CF isolate of P. aeruginosa have not been reported. Here, we characterized the CF clinical isolate DH1137 and found that it has a downregulated but functional T3SS, is adapted to grow in hypoxia, and induces significant production of the inflammasome cytokines IL-1{beta} and IL-1 during lung infection in a CF mouse model. Inflammasome gene expression was primed in AMs by LPS stimulation, and upon DH1137 infection these cells released IL-1[beta]. Intriguingly, we found that infection of AMs with DH1137 in hypoxia resulted in significantly dampened inflammasome activation compared to normoxia. These data describe a new mechanism that P. aeruginosa may exploit to evade immune detection by tissue-resident lung macrophages in the context of CF.

immunology↗

Within-host population structure, migration, and parallel adaptive evolution of Pseudomonas aeruginosa in cystic fibrosis lung disease

Pseudomonas aeruginosa infections in adults with cystic fibrosis (CF) are comprised of heterogeneous populations, most often tracing ancestry back to a single recent common ancestor. What is not clear is the physical spatial structure within the lung infection population, its stability over time and whether this physical structure leads to different evolutionary trajectories in different adaptive environments. To compare the P. aeruginosa populations across a single lung, we performed whole genome sequence analyses of 450 isolates recovered from lavage samples of the three different lobes of the right lung from a person with mild-to-moderate CF lung disease at three time points over the course of [~]1.5 years. We found that isolates fell into five distinct phylogenetic lineages with evidence for repeated translocation of isolates from different lineages across lobes and loss-of-function mutations in lasR and mucA were present in all 450 isolates. The well-resolved phylogenetic analyses revealed a structured population in which we find the coexistence of a slowly evolving lineage and more rapidly evolving lineages. There is also support for numerous migration events. Further, strong evidence for parallel adaptive mutations in multiple genes revealed distinct evolutionary paths affecting mucoid phenotypes and genetic variation in antibiotic resistance-associated pathways across coexisting populations within a single individual over time. These results provide an example of within-host evolution leading to microheterogeneity that may be useful to consider in future study of infection metapopulations dynamics over the course of chronic infection. IMPORTANCEIndividuals with cystic fibrosis (CF) commonly have chronic lung infections that contain clonally derived Pseudomonas aeruginosa populations with genotypic and phenotypic diversity. This study describes a substantial dataset containing 450 isolates from different lobes of the right lung across three timepoints from an individual with mild-to-moderate CF lung disease. Some regional enrichment for specific lineages with parallel mutations among individual lobes of the lung was observed, but longitudinal analysis also demonstrated that compartmentalization is not strictly maintained and that isolates migrate between lobes of the lung over time. Perspectives on within lung evolution will be important for understanding the pathogen populations in chronic respiratory infections in CF and other diseases.

microbiology↗

Medulloblastoma Group 3 and 4 Tumors Comprise a Clinically and Biologically Significant Expression Continuum Reflecting Human Cerebellar Development

Medulloblastoma is currently sub-classified into distinct DNA methylation subgroups/subtypes with particular clinico-molecular features. Using RNA-seq in large well annotated cohorts of medulloblastoma we show that transcriptionally Group3 and Group4 medulloblastomas exist not as discrete types but as intermediates on a bipolar continuum between archetypal Group3 and Group4 entities. Continuum position is prognostic, reflects propensity for specific DNA copy-number changes, key switches in isoform/enhancer usage and RNA-editing. Examining scRNA-seq profiles we show intra-tumoral transcriptional heterogeneity along the continuum is limited in a subtype-dependent manner. By integrating with a human scRNA-seq reference atlas we show this continuum is mirrored by an equivalent continuum of transcriptional cell types in early fetal cerebellar development. We identify unique developmental niches for all four major subgroups and link each to a common developmental antecedent. Our findings show a transcriptional continuum arising from oncogenic disruption of highly specific fetal cerebellar cell types, linked to almost every aspect of Group3/Group4 molecular biology and clinico-pathology.

cancer biology↗