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Schwartzman, J. D.

Publications and source records attributed to Schwartzman, J. D..

2 recordsLinked to original sources
bioRxiv2021

The Burkholderia cenocepacia type VI secretion system effector TecA is a virulence factor during lung infection

Burkholderia cenocepacia (Bc) is a member of the Burkholderia cepacia complex (Bcc), a group of bacteria with members responsible for causing lung infections in cystic fibrosis (CF) patients. The most severe outcome of Bcc infection in CF patients is cepacia syndrome, a disease characterized by necrotizing pneumonia with bacteremia and sepsis. Bc is strongly associated with cepacia syndrome making it one of the most virulent members of the Bcc. Mechanisms underlying the pathogenesis of Bc in lung infections and cepacia syndrome remain to be uncovered. Bc is primarily an intracellular pathogen, and encodes the type VI secretion system (T6SS) anti-host effector TecA, which is translocated into host cells. TecA is a deamidase that inactivates multiple Rho GTPases, including RhoA. Inactivation of RhoA by TecA triggers assembly of the pyrin inflammasome, leading to secretion of proinflammatory cytokines such as IL-1{beta} from macrophages. Previous work with the Bc clinical isolate J2315 showed that TecA increases immunopathology during acute lung infection in C57BL/6 mice and suggested that this effector acts as a virulence factor by triggering assembly of the pyrin inflammasome. Here, we extend these results using a second Bc clinical isolate, AU1054, to demonstrate that TecA exacerbates weight loss and lethality during lung infection in C57BL/6 mice and CF mice. Unexpectedly, pyrin was dispensable for TecA virulence activity in both mouse infection models. Our findings establish that TecA is a Bc virulence factor that exacerbates lung inflammation, weight loss, and lethality in a mouse lung infection model. ImportanceBc is often considered the most virulent species in the Bcc because of its close association with cepacia syndrome in addition to its capacity to cause chronic lung infections in CF patients (Loutet and Valvano 2010). Prior to this study virulence factors of Bc important for causing lethal disease had not been identified in a CF animal model of lung infection. Results of this study describe a CF mouse model and its use in demonstrating that the T6SS effector TecA of Bc exacerbates inflammatory cell recruitment and weight loss and is required for lethality and thus acts as a key virulence factor during lung infection. This model will be important in further studies to better understand TecAs role as a virulence factor and in investigating ways to prevent or treat Bc infections in CF patients. Additionally, TecA may be the founding member of a family of virulence factors in opportunistic pathogens.

microbiology↗
bioRxiv2018

Profiling of bacterial and fungal microbial communities in cystic fibrosis sputum using RNA

Here, we report an approach to detect diverse bacterial and fungal taxa in complex samples by direct analysis of community RNA in one step using NanoString probe sets. We designed rRNA-targeting probe sets to detect forty two bacterial and fungal genera or species common in cystic fibrosis (CF) sputum, and demonstrated taxon-specificity of these probes as well as a linear response over more than three logs of input RNA. Culture-based analyses correlated qualitatively with relative abundance data on bacterial and fungal taxa obtained by NanoString and the analysis of serial samples demonstrated the use of this method to simultaneously detect bacteria and fungi and to detect microbes at low abundance without an amplification step. The relative abundances of bacterial taxa detected by analysis of RNA correlated with the relative abundances of the same taxa as measured by sequencing of the V4V5 region of the 16S rRNA gene amplified from community DNA from the same sample. We propose that this method may complement other methods designed to understand dynamic microbial communities, may provide information on bacteria and fungi in the same sample with a single assay, and, with further development, may provide quick and easily-interpreted diagnostic information on diverse bacteria and fungi at the genus or species level.\n\nImportanceHere we demonstrate the use of an RNA-based analysis of specific taxa of interest, including bacteria and fungi, within microbial communities. This multiplex method may be useful as a means to identify samples with specific combinations of taxa and to gain information on how specific populations vary over time and space or in response to perturbation. A rapid means to measure bacterial and fungal populations may aid in the study of host response to changes in microbial communities.

microbiology↗