Biology subjects

Jorth, P.

Publications and source records attributed to Jorth, P..

7 recordsLinked to original sources

bioRxiv2026

Challenges in establishing epidemiological cut-off values for the Burkholderia cepacia complex

The Burkholderia cepacia complex (BCC) is comprised of 24 species of Gram-negative bacteria that cause opportunistic infections. While antimicrobial susceptibility testing (AST) has historically been used to guide treatment for BCC infections, recent work highlighting problems with AST for these organisms led the Clinical and Laboratory Sciences Institute (CLSI) to remove disk diffusion (DD) and minimal inhibitory concentration (MIC) breakpoints for BCC from its M100 standards document. Epidemiological cut-off values (ECVs) may be helpful to clinicians in the absence of breakpoints, as they may be used to determine whether an isolate has a wild-type or non-wild-type phenotype. Here we present an analysis of BCC ECVs for ceftazidime (CAZ), levofloxacin (LVX), meropenem (MEM), minocycline (MIN), and trimethoprim-sulfamethoxazole (TMP-SMX). ECVs were calculated using MIC data from 3 previous studies and 3 independent laboratories for 1,896 BCC isolates. ECVs were 16 g/ml for CAZ, 8 g/ml for LVX, 16 g/ml for MEM, and 8 g/ml for MIN. The ECV for TMP-SMX varied depending on the analysis from 2 g/ml, 8 g/ml, and 16 g/ml and therefore could not be reliably established. Challenges with establishing ECVs for BCC include limitations with the pooled MIC dataset, broad MIC distributions, and high ECVs that are above the obsolete susceptible MIC breakpoints. These challenges limit the clinical utility of ECVs for these organisms and supported removal of ECVs from the CLSI M100 standards document. IMPORTANCEThe Burkholderia cepacia complex is a group of bacterial species that cause difficult-to-treat opportunistic infections. Recently, clinical breakpoints, which are used to determine whether organisms are susceptible to certain antimicrobials, were removed from Clinical and Laboratory Standards Institute (CLSI) standards for these organisms due to problems with antimicrobial susceptibility testing performance. Clinicians are now faced with the challenge of how to treat these complex infections without clinical breakpoints. Here we determine epidemiological cut-off values (ECVs) for relevant antimicrobials for the B. cepacia complex. While we established ECVs for four antimicrobials, we encountered significant challenges in our analyses, including limitations with data for these organisms and high ECVs that are not clinically useful. These challenges limit the practical use of these ECVs in helping guide clinicians on treatment and supported the eventual removal of ECVs from the CLSI M100 standards document.

microbiology↗

bioRxiv2026

Sympathetic neurons control adaptive immunity in response to Streptococcus pneumoniae infection by regulating T cell and B cell effector function

Adaptive immunity in the lung must be rapidly mobilized to control bacterial pathogens, yet the neuroimmune signals that shape local B and T cell responses remain poorly defined. Here we identify a sympathetic-immune axis that regulates lung-resident memory B cells, antigen-specific IgG production, and protection against Streptococcus pneumoniae. Lung-targeted chemical sympathectomy reduced norepinephrine availability, diminished Tbet memory and resident-memory B cell populations, and markedly impaired S. pneumoniae-specific IgG, resulting in increased bacterial burden. Mice lacking Adrb1 & Adrb2-adrenergic receptors phenocopied these defects, and adoptive transfer of Adrb1/Adrb2-/- B cells into Ighm-/- hosts was sufficient to reduce IgG and worsen infection. Combined T cell depletion and B cell-intrinsic adrenergic receptor loss further impaired bacterial control and suppressed IFNgamma, indicating that norepinephrine stimulates T cell IFNgamma release and that norepinephrine and IFNgamma together drive optimal B cell IgG production. In vitro, norepinephrine enhanced T cell IFNgamma secretion, and norepinephrine plus IFNgamma synergistically increased IgG. These findings define norepinephrine as a key regulator of lung-resident humoral immunity and reveal a neuroimmune mechanism that promotes antibody-mediated bacterial clearance at the respiratory mucosa.

immunology↗

bioRxiv2024

A chronic Pseudomonas aeruginosa mouse lung infection modeling the pathophysiology and inflammation of human cystic fibrosis

Investigation of chronic cystic fibrosis (CF) lung infections has been limited by a lack of murine models that reproduce obstructive lung pathology, chronicity of bacterial infections, and complex inflammation in human CF lung pathology. Three different approaches have been used separately to address these limitations, including using transgenic Scnn1b-Tg mice overexpressing a lung epithelial sodium channel to mimic the mucus-rich and hyperinflammatory CF lung environment, using synthetic CF sputum medium (SCFM) in an acute infection to induce bacterial phenotypes consistent with human CF, or using agar beads to promote chronic infections. Here, we combine these three models to establish a chronic Pseudomonas aeruginosa lung infection model using SCFM agar beads and Scnn1b-Tg mice (SCFM-Tg-mice) to recapitulate nutrients, mucus, and inflammation characteristic of the human CF lung environment. Like people with CF, SCFM-Tg-mice failed to clear bacterial infections. Lung function measurements showed that infected SCFM-Tg-mice had decreased inspiratory capacity and compliance, elevated airway resistance, and significantly reduced FVC and FEV0.1. Using spectral flow cytometry and multiplex cytokine arrays we show that, like people with CF, SCFM-Tg-mice developed inflammation characterized by eosinophil infiltration and Th2 lymphocytic cytokine responses. Chronically infected SCFM-Tg-mice developed an exacerbated mix of innate and Th1, Th2, and Th17-mediated inflammation, causing higher lung cellular damage, and elevated numbers of unusual Siglec F+ neutrophils. Thus, SCFM-Tg-mice represents a powerful tool to investigate bacterial pathogenesis and potential treatments for chronic CF lung infections and reveal a potential role for Siglec F+ neutrophils in CF inflammation. ImportanceHost-pathogen interaction studies of Pseudomonas aeruginosa cystic fibrosis (CF) lung infections have been hampered by limitations of mouse infection models. Here we combine synthetic CF sputum medium (SCFM) agar beads and Scnn1b-Tg transgenic mice to model the mucus obstructed airways and complex inflammatory characteristic of the human cystic fibrosis lung environment. In this model, which we name SCFM-Tg-mice, we use SCFM to cause changes in bacterial gene expression consistent with sputum collected from people with CF and the Scnn1b-Tg mice produce excessive airway mucus like people with CF. We show that SCMF-Tg-mice infected with P. aeruginosa have defects in lung function and increased inflammation that is consistent with human CF lung infections. This model can be adapted for other bacterial species and can be used to test hypotheses about bacterial pathogenesis and potential treatments in a CF human-like system.

microbiology↗

bioRxiv2023

Intracellular Pseudomonas aeruginosa within the airway epithelium of Cystic Fibrosis lung tissues

RATIONALEPseudomonas aeruginosa (P.a.) is the major bacterial pathogen colonizing the airways of adult cystic fibrosis (CF) patients and causes chronic infections that persist despite antibiotic therapy. Intracellular bacteria may represent an unrecognized reservoir of bacteria that evades the immune system and antibiotic therapy. While the ability of P.a. to invade and survive within epithelial cells has been described in vitro in different epithelial cell models, evidence of this intracellular lifestyle in human lung tissues is currently lacking. OBJECTIVESTo detect and characterize intracellular P.a. in CF airway epithelium from human lung explant tissues. METHODSWe sampled the lung explant tissues from CF and non-CF patients undergoing lung transplantation and analyzed lung tissue sections for the presence of intracellular P.a. by quantitative culture and microscopy, in parallel to histopathology and airway morphometry. MEASUREMENTS AND MAIN RESULTSP.a. was isolated from the lungs of 7 CF patients undergoing lung transplantation. Microscopic assessment revealed the presence of intracellular P.a. within airway epithelial cells in 3 out of the 7 lungs analyzed, at a varying but rare frequency. We observed those events occurring in lung regions with high bacterial burden. CONCLUSIONThis is the first study describing the presence of intracellular P.a. in CF lung tissues. While intracellular P.a. in airway epithelial cells are likely relatively rare events, our findings highlight the plausible occurrence of this intracellular bacterial reservoir in chronic CF infections.

microbiology↗

bioRxiv2022

A Compensatory RNase E Variation Increases Iron Piracy and Virulence in Multidrug-Resistant Pseudomonas aeruginosa during Macrophage Infection

During chronic cystic fibrosis (CF) infections, evolved Pseudomonas aeruginosa antibiotic resistance is linked to increased pulmonary exacerbations, decreased lung function, and hospitalizations. However, the virulence mechanisms underlying worse outcomes caused by antibiotic resistant infections are poorly understood. Here, we investigated evolved aztreonam resistant P. aeruginosa virulence mechanisms. Using a macrophage infection model combined with genomic and transcriptomic analyses, we show that a compensatory mutation in the rne gene, encoding RNase E, increased siderophore gene expression, causing macrophage ferroptosis and lysis. Macrophage killing could be eliminated by treatment with the iron mimetic gallium. RNase E variants were abundant in clinical isolates, and CF sputum gene expression data show that clinical isolates phenocopied RNase E variant functions during macrophage infection. Together these data show how P. aeruginosa RNase E variants can cause host damage via increased siderophore production and host cell ferroptosis but may also be targets for gallium precision therapy.

microbiology↗

bioRxiv2021

A Population-level Strain Genotyping Method to Study Pathogen Strain Dynamics in Human Infections

A hallmark of chronic bacterial infections is the long-term persistence of one or more pathogen species at the compromised site. Repeated detection of the same bacterial species can suggest that a single strain or lineage is continually present. However, infection with multiple strains of a given species, strain acquisition and loss, and changes in strain relative abundance can occur. Detecting strain-level changes and their effects on disease is challenging as most methods require labor intensive isolate-by-isolate analyses, thus, only a few cells from large infecting populations can be examined. Here we present a population-level method for enumerating and measuring the relative abundance of strains called "PopMLST". The method exploits PCR amplification of strain-identifying polymorphic loci, next-generation sequencing to measure allelic variants, and informatic methods to determine whether variants arise from sequencing errors or low abundance strains. These features enable PopMLST to simultaneously interrogate hundreds of bacterial cells that are either cultured en masse from patient samples, or are present in DNA directly extracted from clinical specimens without ex vivo culture. This method could be used to detect epidemic or super-infecting strains, facilitate understanding of strain dynamics during chronic infections, and enable studies that link strain changes to clinical outcomes.

microbiology↗

bioRxiv2019

Quantitative visualization of gene expression in Pseudomonas aeruginosa aggregates reveals peak expression of alginate in the hypoxic zone

It is well appreciated that oxygen- and nutrient-limiting gradients characterize microenvironments within chronic infections that foster bacterial tolerance to treatment and the immune response. However, determining how bacteria respond to these microenvironments has been limited by a lack of tools to study bacterial functions at the relevant spatial scales in situ. Here we report the application of the hybridization chain reaction (HCR) v3.0 to Pseudomonas aeruginosa aggregates as a step towards this end. As proof-of-principle, we visualize the expression of genes needed for the production of alginate (algD) and the dissimilatory nitrate reductase (narG). Using an inducible bacterial gene expression construct to calibrate the HCR signal, we were able to quantify algD and narG gene expression across microenvironmental gradients both within single aggregates and within aggregate populations using the Agar Block Biofilm Assay (ABBA). For the ABBA population, alginate gene expression was restricted to hypoxic regions within the environment (~40-200 M O2), as measured by an oxygen microelectrode. Within individual biofilm aggregates, cells proximal to the surface expressed alginate genes to a greater extent than interior cells. Lastly, mucoid biofilms consumed more oxygen than nonmucoid biofilms. These results establish that HCR has a sensitive dynamic range and can be used to resolve subtle differences in gene expression at spatial scales relevant to microbial assemblages. Because HCR v3.0 can be performed on diverse cell types, this methodological advance has the potential to enable quantitative studies of microbial gene expression in diverse contexts, including pathogen behavior in human chronic infections.\n\nImportanceThe visualization of microbial activities in natural environments is an important goal for numerous studies in microbial ecology, be the environment a sediment, soil, or infected human tissue. Here we report the application of the hybridization chain reaction (HCR) v3.0 to measure microbial gene expression in situ at single-cell resolution in aggregate biofilms. Using Pseudomonas aeruginosa with a tunable gene expression system, we show that this methodology is quantitative. Leveraging HCR v3.0 to measure gene expression within a P. aeruginosa aggregate, we find that bacteria just below the aggregate surface are the primary cells expressing genes that protect the population against antibiotics and the immune system. This observation suggests that therapies targeting bacteria growing with small amounts of oxygen may be most effective against these hard-to-treat infections. More generally, HCR v3.0 has potential for broad application into microbial activities in situ at small spatial scales.

microbiology↗