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Sim, E.

Publications and source records attributed to Sim, E..

8 recordsLinked to original sources

A mobile ESX type VII secretion system enhances intracellular persistence in globally distributed Mycobacterium abscessus

Mycobacterium abscessus are non-tuberculous mycobacteria that are widespread in the environment and of increasing global clinical significance. Accumulating evidence shows that M. abscessus has emerged as an important pathogen, driven by highly drug-resistant lineages, enhanced transmissibility and the acquisition of specific virulence factors. In this study, we describe a previously uncharacterised ESX secretion system encoded on a 123-kbp plasmid identified in a clinical isolate of M. abscessus. This ESX system, termed ESX-pMA07, is distinct from ESX systems previously reported in M. abscessus in both sequence composition and locus organisation, characterised by a unique arrangement of core ESX components and low sequence identity to ESX-3, ESX-4 and plasmid-borne ESX-P systems. ESX-pMA07 was detected in geographically diverse clinical isolates but was restricted to particular genotypes within the global M. abscessus phylogeny. Transcriptional profiling revealed expression of ESX-pMA07 components in artificial cystic fibrosis media and during intracellular growth in macrophage cell lines. Using CRISPR interference, we show that inducible silencing of eccC, encoding the ATPase component of ESX-pMA07, significantly reduced intracellular survival of M. abscessus within macrophages. To our knowledge, this is the first characterisation of a functional, plasmid-borne ESX secretion system in M. abscessus, demonstrating that mobile genetic elements contribute to the pathogens intracellular persistence and may influence its evolving virulence. Author SummaryMycobacterium abscessus is a rapidly emerging, highly drug-resistant bacterium that causes chronic infections, particularly in people with underlying lung disease such as cystic fibrosis. The factors that enable certain M. abscessus strains to persist inside host cells are not fully understood. In this study, we identified a previously unrecognised type VII secretion system (ESX) encoded on a large plasmid in a clinical isolate of M. abscessus. This plasmid-borne ESX system, which we termed ESX-pMA07, is genetically distinct from the ESX systems normally found on the chromosome and was detected in geographically diverse clinical isolates, but restricted to specific lineages within the global M. abscessus population. We show that ESX-pMA07 genes are expressed under conditions relevant to lung infection and during intracellular growth in macrophages. Using inducible CRISPR interference to silence the ESX ATPase gene eccC, we demonstrate that ESX-pMA07 contributes to intracellular survival of M. abscessus in macrophages. These findings reveal that mobile genetic elements can encode functional secretion systems that enhance intracellular persistence, providing a mechanism for the emergence and spread of virulence traits in this important pathogen.

microbiology↗

Genomic markers of drug resistance in Mycobacterium tuberculosis populations with minority variants

Minority variants of Mycobacterium tuberculosis harbouring mutations conferring resistance can become dominant populations during tuberculosis (TB) treatment, leading to treatment failure. Our understanding of drug resistant within-host sub-populations and the frequency of resistance conferring mutations in minority variants remains limited. M. tuberculosis sequences recovered from liquid cultures of culture-confirmed TB cases notified between January 2017 and December 2021 in New South Wales, Australia were examined. Potential drug resistance conferring minority variants were identified using LoFreq, and mixed populations of different M. tuberculosis strains ([≥]100 SNPs apart) were examined using QuantTB. A total of 1831 routinely sequenced M. tuberculosis strains were included in the analysis. Drug resistance conferring minority variants were detected in 3.5% (65/1831) of sequenced cultures; 84.6% (55/65) had majority strains that were drug susceptible and 15.4% (10/65) had majority strains that were drug resistant. Minority variants with high confidence drug resistance conferring mutations were 1.5 times more common when the majority strains were drug resistant. Mixed M. tuberculosis strain populations were documented in 10.0% (183/1831) of specimens. Minority variants with high confidence drug resistance conferring mutations were more frequently detected in mixed M. tuberculosis strain populations (2.7%, 5/183) than in single strain populations (0.6%, 10/1648; p=0.01). Drug resistant minority variants require careful monitoring in settings that implement routine M. tuberculosis sequencing. The frequency with which drug resistant minority variants are detected is influenced by selective culture methods and culture-independent sequencing should provide a more accurate picture.

microbiology↗

Can genomics and meteorology predict outbreaks of legionellosis in urban settings?

Legionella pneumophila is ubiquitous and sporadically infects humans causing Legionnaires disease (LD). Globally, reported cases of LD has risen four-fold from 2000-2014. In 2016, Sydney, Australia was the epicentre of an outbreak caused by L. pneumophila serogroup 1 (Lpsg1). Whole genome sequencing was instrumental in identifying the causal clone which was found in multiple locations across the city. This study examined the epidemiology of Lpsg1 in an urban environment, assessed typing schemes to classify resident clones and investigated the association between local climate variables and LD outbreaks. Of 223 local Lpsg1 isolates, we identified dominant clones with one clone isolated from patients in high frequency during outbreak investigations. The cgMLST scheme was the most reliable in identifying this Lpsg1 clone. While an increase in humidity and rainfall was found to coincide with a rise in LD cases, the incidence of the major L. pneumophila outbreak clone did not link to weather phenomena. These findings demonstrated the role of high resolution typing and weather context assessment in determining source attribution for LD outbreaks in urban settings, particularly when clinical isolates remain scarce. ImportanceWe investigated the genomic and meteorological influences of infections caused by Legionella pneumophila in Sydney, Australia. Our study contributes to a knowledge gap of factors that drive outbreaks of legionellosis compared to sporadic infections in urban settings. In such cases, clinical isolates can be rare and other data is then relied upon to inform decision making around control measures. We found that cgMLST typing offered a robust and scalable approach for high-resolution investigation of Lpsg1 outbreaks. The genomic landscape of Lpsg1 in Sydney was dominated by a single clone which was responsible for multiple clusters of community cases over four decades. While legionellosis incidence peaked in Autumn, this was not linked to the dominant outbreak clone. The synthesis of meteorological data with Lpsg1 genomics can be a part of the risk assessment for legionellosis in urban settings and is relevant for other densely populated areas around the world.

microbiology↗

AraC binds the p75NTR transmembrane domain to induce neurodegeneration in mature neurons.

BackgroundCytosine arabinoside (AraC) is one of the main therapeutic treatments for several types of cancer including acute myeloid leukaemia. However, after high dose AraC chemotherapy regime, patients develop severe neurotoxicity and neurodegeneration in the central nervous system leading to cerebellar ataxia, dysarthria, nystagmus, somnolence and drowsiness. AraC induces apoptosis in dividing cells, however, the mechanism by which it leads to neurite degeneration and cell death in mature neurons remains unclear. We hypothesized that the upregulation of the death receptor p75NTR is responsible for AraC-mediated neurodegeneration and cell death in leukemia patients undergoing AraC treatment. MethodsTo determine the role of AraC-p75NTR signalling in degeneration of mature cerebellar granule neurons, we used primary cultures from p75NTR knockout and p75NTRCys259 mice. Evaluation of neurodegeneration, cell death and p75NTR signalling was done by immunohistochemistry and immunoblotting. To assess the direct interaction between AraC and p75NTR, we performed isothermal dose response-cellular thermal shift and AraTM assays as well as Homo-FRET anisotropy imaging. ResultsWe show that AraC induces neurite degeneration and programmed cell death of mature cerebellar granule neurons in a p75NTR-dependent manner. Mechanistically, AraC binds to Proline 252 and Cysteine 256 of the p75NTR transmembrane domain and selectively uncouples p75NTR from the NF{kappa}B survival pathway. This in turn, exacerbates the activation of the cell death/JNK pathway by recruitment of TRAF6 to p75NTR. ConclusionOur findings identify p75NTR as a novel molecular target to develop treatments to counteract AraC-mediated neurodegeneration.

cell biology↗

Genomic evaluation of Bordetella spp. originating from Australia

Bordetella pertussis is the primary causative agent of pertussis, a highly infectious respiratory disease associated with prolonged coughing episodes. Pertussis infections are typically mild in adults, however in neonates, infections can be fatal. Despite successful vaccine uptake, the disease is re-emerging across the globe, therefore it is critical to determine the mechanism by which B. pertussis is escaping vaccination control. Studies have suggested that significant changes have occurred in B. pertussis genomes in response to whole cell and acellular vaccines. Continued molecular monitoring is therefore crucial for public health surveillance. High-resolution molecular surveillance of B. pertussis can be achieved through the sequencing of the whole genome. In public health laboratories, whole genome sequencing is primarily performed by short-read sequencing technologies as they are most cost-effective. However short read sequencing does not resolve the extensive genomic rearrangement evident in Bordetella genomes. This is because repeat regions present in Bordetella genomes are collapsed by downstream analysis. For example, the B. pertussis genome contains more than 200 copies of the IS481 insertion element, hence assemblies generally consist of >200 contigs. Advancements in long-read technologies however increase the potential to circularise and close genomes by bridging the locations of the IS481 insertion element. In this study, we aimed to contextualise the Bordetella spp. circulating in NSW, Australia and assess their relationship with global isolates utilising core genome, SNP and structural clustering analysis using long read technology. We report five closed genomes of Bordetella spp. isolated from Australian patients. Two of the three B. pertussis closed isolates, were unique with their own genomic structure, while the other structurally clustered with global isolates. We found that Australian B. holmesii and B. parapertussis strains cluster with global isolates and do not appear to be unique to Australia. Australian draft B. holmesii SNP analysis showed that between 1999 and 2007, isolates were relatively similar, however post-2012, isolates were distinct from each other. The closed isolates can also be used as high-quality reference sequences for both surveillance and other investigations into pertussis spread.

microbiology↗

Sustained anti-obesity effects of life-style change and anti-inflammatory interventions after conditional inactivation of the activin receptor ALK7

Life-style change and anti-inflammatory interventions have only transient effects in obesity. It is not clear how benefits obtained by these treatments can be maintained longer term, specially during sustained high caloric intake. Constitutive ablation of the activin receptor ALK7 in adipose tissue enhances catecholamine signaling and lipolysis in adipocytes, and protects mice from diet-induced obesity. Here, we investigated the consequences of conditional ALK7 ablation in adipocytes of adult mice with pre-existing obesity. Although ALK7 deletion had little effect on its own, it synergized strongly with a transient switch to low-fat diet (life-style change) or anti-inflammatory treatment (Na-salicylate), resulting in enhanced lipolysis, increased energy expenditure, and reduced adipose tissue mass and body weight gain, even under sustained high caloric intake. By themselves, diet-switch and salicylate had only a temporary effect on weight gain. Mechanistically, combination of ALK7 ablation with either treatment strongly enhanced the levels of {beta}3-AR, the main adrenergic receptor for catecholamine stimulation of lipolysis, and C/EBP, an upstream regulator of {beta}3-AR expression. These results suggest that inhibition of ALK7 can be combined with simple interventions to produce longer-lasting benefits in obesity.

physiology↗

A Small interfering RNA lead targeting RNA-dependent RNA-polymerase effectively inhibit the SARS-CoV-2 infection in Golden Syrian hamster and Rhesus macaque

A small interfering RNA (siRNA) inhibitors have demonstrated the novel modality for suppressing infectious diseases. Sixty-one siRNA molecules, predicted by the bioinformatics programs, were screened for the possibility of treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using an in vitro plaque assay. Among six siRNA leads with the efficacy of reducing plaque number, the siRNA targeting RNA-dependent RNA polymerase (RdRp) showed a reduction in SARS-CoV-2 infection-induced fever and virus titer in the Golden Syrian hamster and rhesus macaque. These results suggest the potential for RdRp targeting siRNA as a new treatment for the coronavirus disease 2019 (COVID-19).Competing Interest StatementThe authors have declared no competing interest.View Full Text

microbiology↗

REVEALING COVID-19 TRANSMISSION BY SARS-CoV-2 GENOME SEQUENCING AND AGENT BASED MODELLING

Community transmission of the new coronavirus SARS-CoV-2 is a major public health concern that remains difficult to assess. We present a genomic survey of SARS-CoV-2 from a during the first 10 weeks of COVID-19 activity in New South Wales, Australia. Transmission events were monitored prospectively during the critical period of implementation of national control measures. SARS-CoV-2 genomes were sequenced from 209 patients diagnosed with COVID-19 infection between January and March 2020. Only a quarter of cases appeared to be locally acquired and genomic-based estimates of local transmission rates were concordant with predictions from a computational agent-based model. This convergent assessment indicates that genome sequencing provides key information to inform public health action and has improved our understanding of the COVID-19 evolution from outbreak to epidemic.

microbiology↗