Publications

2024

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Simon R. Law, Falko Mathes, Amy M. Paten, Pamela Alexandre, Roshan Regmi, Cameron Reid, Azadeh Safarchi, Shaktivesh Shaktivesh, Yanan Wang, Annaleise Wilson, Scott A. Rice, Gupta Vadakattu. FEMS Microbiology Reviews. 2024 Mar 1;48(2):fuae008. doi: 10.1093/femsre/fuae008. PubMed.

Microbiomes are foundational components of the environment that provide essential services relating to food security, carbon sequestration, human health, and the overall well-being of ecosystems. Microbiota exert their effects primarily through complex interactions at interfaces with their plant, animal, and human hosts, as well as within the soil environment. This review aims to explore the ecological, evolutionary, and molecular processes governing the establishment and function of microbiome-host relationships, specifically at interfaces critical to One Health-a transdisciplinary framework that recognizes that the health outcomes of people, animals, plants, and the environment are tightly interconnected. Within the context of One Health, the core principles underpinning microbiome assembly will be discussed in detail, including biofilm formation, microbial recruitment strategies, mechanisms of microbial attachment, community succession, and the effect these processes have on host function and health. Finally, this review will catalogue recent advances in microbiology and microbial ecology methods that can be used to profile microbial interfaces, with particular attention to multi-omic, advanced imaging, and modelling approaches. These technologies are essential for delineating the general and specific principles governing microbiome assembly and functions, mapping microbial interconnectivity across varying spatial and temporal scales, and for the establishment of predictive frameworks that will guide the development of targeted microbiome-interventions to deliver One Health outcomes.

2023

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Farr RJ, Dahal S, Tribolet L, Bean AGD, Cowled C, Stewart CR. Profiling Host MicroRNA Responses to Henipavirus Infection. Methods in Molecular Biology. 2023;2682:261-279. doi: 10.1007/978-1-0716-3283-3_19. PMID: 37610588. PubMed.

Diseases caused by henipaviruses feature incubation periods of up to 16 days, during which infected animals may show no apparent signs of disease yet be capable of transmitting the virus to humans. This risk has prompted research into host-derived biomarkers for early disease detection. Here, we describe a methodology for the assaying of host microRNAs (miRs), small non-coding RNAs that show promise as biomarkers for several human diseases and are responsive during early-stage henipavirus infection. In addition to their potential as disease biomarkers, miRNA profiling of henipavirus infections provides insight into cellular and immune pathways associated with disease pathogenesis.

Wilson K M Wong, Mya Polkamp, Ryan J Farr, Pooja S Kunte, Hrishikesh P Hardikar, Chittaranjan S Yajnik, Anandwardhan A Hardikar, Mugdha V Joglekar. Methods in Molecular Biology. 2678:117-134. doi: 10.1007/978-1-0716-3255-0_8. PubMed.

Diabetic retinopathy (DR) is a vascular complication of diabetes that can lead to partial or complete loss of vision. Early detection and treatment of DR can prevent blindness. Regular clinical examination is recommended for DR diagnosis; however, it is not always possible or feasible due to limited resources, expertise, time, and infrastructure. Several clinical and molecular biomarkers are proposed for the prediction of DR including microRNAs. MicroRNAs are a class of small non-coding RNAs that are found in biofluids and can be measured using reliable and sensitive methods. The most commonly used biofluid for microRNA profiling is plasma or serum; however, tear fluid (tears) is also demonstrated to contain microRNAs. MicroRNAs isolated from tears present a non-invasive source for DR detection. Different methods of microRNA profiling are available including digital PCR-based methods that can detect up to a single copy of microRNA in the biofluids. Here, we describe microRNA isolation from tears using manual method as well as using a high-throughput automated platform followed by microRNA profiling using digital PCR system.

Leon Tribolet, Aaron M. Brice, Thomas S. Fulford, Daniel S. Layton, Dale I. Godfrey, Andrew G.D. Bean, Cameron R. Stewart, Immunobiology March 29; 228(3). doi: 10.1016/j.imbio.2023.152380. Science Direct

Inflammation and lipid regulator with UBA-like and NBR1-like domains (ILRUN) is a protein-encoding gene associated with innate immune signaling, lipid metabolism and cancer. In the context of innate immunity, ILRUN inhibits IRF3-mediated transcription of antimicrobial and proinflammatory cytokines by inducing degradation of the transcriptional coactivators CBP and p300. There remains a paucity of information, however, regarding the innate immune roles of ILRUN beyond in vitro analyses. To address this, we utilize a knockout mouse model to investigate the effect of ILRUN on cytokine expression in splenocytes and on the development of immune cell populations in the spleen and thymus. We show elevated production of tumor necrosis factor and interleukin-6 cytokines in ILRUN-deficient splenocytes following stimulation with the innate immune ligands polyinosinic: polycytidylic acid or lipopolysaccharide. Differences were also observed in the populations of several T cell subsets, including regulatory, mucosal-associated invariant and natural killer. These data identify novel functions for ILRUN in the development of certain immune cell populations and support previous in vitro findings that ILRUN negatively regulates the synthesis of pathogen-stimulated cytokines. This establishes the ILRUN knockout mouse model as a valuable resource for further study of the functions of ILRUN in health and disease.

2022

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Barbosa AD, Long M, Lee W, Austen JM, Cunneen M, Ratchford A, Burns B, Kumarasinghe P, Ben-Othman R, Kollmann TR, Stewart CR, Beaman M, Parry R, Hall R, Tabor A, O’Donovan J, Faddy HM, Collins M, Cheng AC, Stenos J, Graves S, Oskam CL, Ryan UM, Irwin PJ. Pathogens Nov 3;11(11):1290. doi: 10.3390/pathogens11111290. PubMed

In Australia, there is a paucity of data about the extent and impact of zoonotic tick-related illnesses. Even less is understood about a multifaceted illness referred to as Debilitating Symptom Complexes Attributed to Ticks (DSCATT). Here, we describe a research plan for investigating the aetiology, pathophysiology, and clinical outcomes of human tick-associated disease in Australia. Our approach focuses on the transmission of potential pathogens and the immunological responses of the patient after a tick bite. The protocol is strengthened by prospective data collection, the recruitment of two external matched control groups, and sophisticated integrative data analysis which, collectively, will allow the robust demonstration of associations between a tick bite and the development of clinical and pathological abnormalities. Various laboratory analyses are performed including metagenomics to investigate the potential transmission of bacteria, protozoa and/or viruses during tick bite. In addition, multi-omics technology is applied to investigate links between host immune responses and potential infectious and non-infectious disease causations. Psychometric profiling is also used to investigate whether psychological attributes influence symptom development. This research will fill important knowledge gaps about tick-borne diseases. Ultimately, we hope the results will promote improved diagnostic outcomes, and inform the safe management and treatment of patients bitten by ticks in Australia.

Layton DS, Butler J, Stewart C, Stevens V, Payne J, Rootes C, Deffrasnes C, Walker S, Shan S, Gough TJ, Cowled C, Bruce K, Wang J, Kedzierska K, Wong FYK, Bean AGD, Bingham J, Williams DT. Frontiers in Immunology Oct 6;13:974210. doi: 10.3389/fimmu.2022.974210. PubMed

The zoonotic H7N9 avian influenza (AI) virus first emerged in 2013 as a low pathogenic (LPAI) strain, and has repeatedly caused human infection resulting in severe respiratory illness and a mortality of ~39% (>600 deaths) across five epidemic waves. This virus has circulated in poultry with little to no discernible clinical signs, making detection and control difficult. Contrary to published data, our group has observed a subset of specific pathogen free chickens infected with the H7N9 virus succumb to disease, showing clinical signs consistent with highly pathogenic AI (HPAI). Viral genome sequencing revealed two key mutations had occurred following infection in the haemagglutinin (HA 226 L>Q) and nucleoprotein (NP 373 A>T) proteins. We further investigated the impact of the NP mutation and demonstrated that only chickens bearing a single nucleotide polymorphism (SNP) in their IFITM1 gene were susceptible to the H7N9 virus. Susceptible chickens demonstrated a distinct loss of CD8+ T cells from the periphery as well as a dysregulation of IFNγ that was not observed for resistant chickens, suggesting a role for the NP mutation in altered T cell activation. Alternatively, it is possible that this mutation led to altered polymerase activity, as the mutation occurs in the NP 360-373 loop which has been previously show to be important in RNA binding. These data have broad ramifications for our understanding of the pathobiology of AI in chickens and humans and provide an excellent model for investigating the role of antiviral genes in a natural host species.

Farr RJ, Rootes C, Stenos J, Foo CH, Cowled C, Stewart CR. PLoS One 17(4): e0265670. PLoS One

Host biomarkers are increasingly being considered as tools for improved COVID-19 detection and prognosis. We recently profiled circulating host-encoded microRNA (miRNAs) during SARS-CoV-2 infection, revealing a signature that classified COVID-19 cases with 99.9% accuracy. Here we sought to develop a signature suited for clinical application by analyzing specimens collected using minimally invasive procedures. Eight miRNAs displayed altered expression in anterior nasal tissues from COVID-19 patients, with miR-142-3p, a negative regulator of interleukin-6 (IL-6) production, the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-30c-2-3p, miR-628-3p and miR-93-5p) independently classifies COVID-19 cases with 100 % accuracy. This study further defines the host miRNA response to SARS-CoV-2 infection and identifies candidate biomarkers for improved COVID-19 detection.

2021

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Farr RJ, Godde N, Cowled C, Sundaramoorthy V, Green D, Stewart CR, Bingham J, O’Brien CM, Dearnley M. Frontiers in Cellular and Infection Microbiology. 11. Frontiers

Despite being vaccine preventable, rabies (lyssavirus) still has a significant impact on global mortality, disproportionally affecting children under 15 years of age. This neurotropic virus is deft at avoiding the immune system while travelling through neurons to the brain. Until recently, research efforts into the role of non-coding RNAs in rabies pathogenicity and detection have been hampered by a lack of human in vitro neuronal models. Here, we utilized our previously described human stem cell-derived neural model to investigate the effect of lyssavirus infection on microRNA (miRNA) expression in human neural cells and their secreted exosomes. Conventional differential expression analysis identified 25 cellular and 16 exosomal miRNAs that were significantly altered (FDR adjusted P-value <0.05) in response to different lyssavirus strains. Supervised machine learning algorithms determined 6 cellular miRNAs (miR-99b-5p, miR-346, miR-5701, miR-138-2-3p, miR-651-5p, and miR-7977) were indicative of lyssavirus infection (100% accuracy), with the first four miRNAs having previously established roles in neuronal function, or panic and impulsivity-related behaviors. Another 4-miRNA signatures in exosomes (miR-25-3p, miR-26b-5p, miR-218-5p, miR-598-3p) can independently predict lyssavirus infected cells with >99% accuracy. Identification of these robust lyssavirus miRNA signatures offers further insight into neural lineage responses to infection and provides a foundation for utilizing exosome miRNAs in the development of next-generation molecular diagnostics for rabies.

Horman WSJ, Kedzierska K, Rootes C, Bean AGD, Nguyen THO, Layton DS. Journal of Virology. 95(14):e00111-21. Journal of Virology

The current fears of a future influenza pandemic have resulted in an increased emphasis on the development and testing of novel therapeutic strategies against the virus. Fundamental to this is the ferret model of influenza infection, which is critical in examining pathogenesis and treatment. Nevertheless, a precise evaluation of the efficacy of any treatment strategy in ferrets is reliant on understanding the immune response in this model. Interferon-inducible transmembrane proteins (IFITMs) are interferon-stimulated proteins shown to be critically important in the host immune response against viral infections. These proteins confer intrinsic innate immunity to pH-dependent viruses such as influenza viruses and can inhibit cytosolic entry of such viruses to limit the severity of infection following interferon upregulation. Mutations in IFITM genes in humans have been identified as key risk factors for worsened disease progression, particularly in the case of avian influenza viruses such as H7N9. While the IFITM genes of humans and mice have been well characterized, no studies have been conducted to classify the IFITM locus and interferon-driven upregulation of IFITMs in ferrets. Here, we show the architecture of the ferret IFITM locus and its synteny to the IFITM locus of other mammalian and avian species. Furthermore, we show that ferret IFITM1, –2, and –3 are functionally responsive to both interferon-α (IFN-α) and influenza virus stimulation. Thus, we show that ferret IFITMs exhibit interferon-stimulated properties similar to those shown in other species, furthering our knowledge of the innate immune response in the ferret model of human influenza virus infections.
IMPORTANCE IFITM proteins can prevent the entry of several pH-dependent viruses, including high-consequence viruses such as HIV, influenza viruses, and SARS-coronaviruses. Mutations in these genes have been associated with worsened disease outcomes with mutations in their IFITM genes, highlighting these genes as potential disease risk factors. Ferrets provide a valuable tool to model infectious diseases; however, there is a critical shortage of information regarding their interferon-stimulated genes. We identified the putative ferret IFITM genes and mapped their complete gene locus. Thus, our study fills a critical gap in knowledge and supports the further use of the ferret model to explore the importance of IFITMs in these important diseases.

Farr RJ, Rootes C, Rowntree L, Nguyen T, Hensen L, Kedzierski L, Cheng A, Kedzierska K, Au G, Marsh G, Vasan S, Foo CH, Cowled C, Stewart C. PLoS Pathogens 17(7):e1009759. PLoS Pathogens.

The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management.

Marsh GA, McAuley AJ, Au GG, Riddell S, Layton D, Singanallur NB, Layton R, Payne J, Durr PA, Bender H, Barr JA, Bingham J, Boyd V, Brown S, Bruce MP, Burkett K, Eastwood T, Edwards S, Gough T, Halpin K, Harper J, Holmes C, Horman WSJ, Jansen van Vuren P, Lowther S, Maynard K, McAuley KD, Neave MJ, Poole T, Rootes CL, Rowe B, Soldani E, Stevens V, Stewart CR, Suen WW, Tachedjian M, Todd S, Trinidad L, Walter D, Watson N, Drew TW, Gilbert SC, Lambe T, Vasan SS. NPJ Vaccines, 6:67. PubMed.

Vaccines against SARS-CoV-2 are likely to be critical in the management of the ongoing pandemic. A number of candidates are in Phase III human clinical trials, including ChAdOx1 nCoV-19 (AZD1222), a replication-deficient chimpanzee adenovirus-vectored vaccine candidate. In preclinical trials, the efficacy of ChAdOx1 nCoV-19 against SARS-CoV-2 challenge was evaluated in a ferret model of infection. Groups of ferrets received either prime-only or prime-boost administration of ChAdOx1 nCoV-19 via the intramuscular or intranasal route. All ChAdOx1 nCoV-19 administration combinations resulted in significant reductions in viral loads in nasal-wash and oral swab samples. No vaccine-associated adverse events were observed associated with the ChAdOx1 nCoV-19 candidate, with the data from this study suggesting it could be an effective and safe vaccine against COVID-19. Our study also indicates the potential for intranasal administration as a way to further improve the efficacy of this leading vaccine candidate.

Mara K, Dai M, Brice A, Alexander M, Tribolet L, Layton D, Bean A. Vaccines, 9(1), 59. MDPI

The current pandemic has highlighted the ever-increasing risk of human to human spread of zoonotic pathogens. A number of medically-relevant zoonotic pathogens are negative-strand RNA viruses (NSVs). NSVs are derived from different virus families. Examples like Ebola are known for causing severe symptoms and high mortality rates. Some, like influenza, are known for their ease of person-to-person transmission and lack of pre-existing immunity, enabling rapid spread across many countries around the globe. Containment of outbreaks of NSVs can be difficult owing to their unpredictability and the absence of effective control measures, such as vaccines and antiviral therapeutics. In addition, there remains a lack of essential knowledge of the host–pathogen response that are induced by NSVs, particularly of the immune responses that provide protection. Vaccines are the most effective method for preventing infectious diseases. In fact, in the event of a pandemic, appropriate vaccine design and speed of vaccine supply is the most critical factor in protecting the population, as vaccination is the only sustainable defense. Vaccines need to be safe, efficient, and cost-effective, which is influenced by our understanding of the host–pathogen interface. Additionally, some of the major challenges of vaccines are the establishment of a long-lasting immunity offering cross protection to emerging strains. Although many NSVs are controlled through immunisations, for some, vaccine design has failed or efficacy has proven unreliable. The key behind designing a successful vaccine is understanding the host–pathogen interaction and the host immune response towards NSVs. In this paper, we review the recent research in vaccine design against NSVs and explore the immune responses induced by these viruses. The generation of a robust and integrated approach to development capability and vaccine manufacture can collaboratively support the management of outbreaking NSV disease health risks.

Tribolet L, Alexander MR, Brice AM, Jansen van Vuren P, Rootes CL, Mara K, McDonald M, Bruce KL, Gough TJ, Shi S, Cowled C, Bean AGD, Stewart CR. Journal of Virology. PubMed.
The human protein-coding gene ILRUN (inflammation and lipid regulator with UBA-like and NBR1-like domains, previously C6orf106) was identified as a proviral factor for Hendra virus infection and recently characterised to function an inhibitor of type-I interferon expression. Here, we have utilised RNA-seq to define cellular pathways regulated by ILRUN in the context of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of Caco-2 cells. We find that inhibition of ILRUN expression by RNA interference alters transcription profile of numerous cellular pathways, including upregulation of the SARS-CoV-2 entry receptor ACE2 and several other members of the renin-angiotensin aldosterone system. In addition, transcripts of the SARS-CoV-2 co-receptors TMPRSS2 and CTSL were also upregulated. Inhibition of ILRUN also resulted in increased SARS-CoV-2 replication, while overexpression of ILRUN had the opposite effect, identifying ILRUN as a novel antiviral factor for SARS-CoV-2 replication and represents, to our knowledge, the first report of ILRUN as a regulator of the RAAS.
IMPORTANCEThere is no doubt that the current rapid global spread of COVID-19 has had significant and far-reaching impacts on our health and economy and will continue to do so. Research in emerging infectious diseases, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is growing rapidly, with new breakthroughs in the understanding of host-virus interactions in order to assist with the development of innovative and exciting therapeutic strategies. Here we present the first evidence that modulation of the human protein-encoding gene ILRUN functions as an antiviral factor for SARS-CoV-2 infection, likely through its newly identified role in regulating the expression of SARS-CoV-2 entry receptors ACE2, TMPRSS2 and CTSL. These data improve our understanding of biological pathways that regulate host factors critical to SARS-CoV-2 infection, contributing to the development of antiviral strategies to deal with the current SARS-CoV-2 pandemic.

Alexander MR, Brice AM, Jansen van Vuren P, Rootes CL, Tribolet L, Cowled C, Bean AGD, Stewart CR. International Journal of Molecular Sciences 22(7). PubMed.

The global COVID-19 pandemic caused by SARS-CoV-2 has resulted in over 2.2 million deaths. Disease outcomes range from asymptomatic to severe with, so far, minimal genotypic change to the virus so understanding the host response is paramount. Transcriptomics has become incredibly important in understanding host-pathogen interactions; however, post-transcriptional regulation plays an important role in infection and immunity through translation and mRNA stability, allowing tight control over potent host responses by both the host and the invading virus. Here, we apply ribosome profiling to assess post-transcriptional regulation of host genes during SARS-CoV-2 infection of a human lung epithelial cell line (Calu-3). We have identified numerous transcription factors (JUN, ZBTB20, ATF3, HIVEP2 and EGR1) as well as select antiviral cytokine genes, namely IFNB1, IFNL1,2 and 3, IL-6 and CCL5, that are restricted at the post-transcriptional level by SARS-CoV-2 infection and discuss the impact this would have on the host response to infection. This early phase restriction of antiviral transcripts in the lungs may allow high viral load and consequent immune dysregulation typically seen in SARS-CoV-2 infection.

2020

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Tribolet L, Kerr E, Cowled C, Bean AGD, Stewart CR, Dearnley M, and Farr RJ. Frontiers of Microbiology, 11: 1197. PubMed.

In the pursuit of improved diagnostic tests for infectious diseases, several classes of molecules have been scrutinized as prospective biomarkers. Small (18-22 nucleotide), non-coding RNA transcripts called microRNAs (miRNAs) have emerged as promising candidates with extensive diagnostic potential, due to their role in numerous diseases, previously established methods for quantitation and their stability within biofluids. Despite efforts to identify, characterize and apply miRNA signatures as diagnostic markers in a range of non-infectious diseases, their application in infectious disease has advanced relatively slowly. Here, we outline the benefits that miRNA biomarkers offer to the diagnosis, management, and treatment of infectious diseases. Investigation of these novel biomarkers could advance the use of personalized medicine in infectious disease treatment, which raises important considerations for validating their use as diagnostic or prognostic markers. Finally, we discuss new and emerging miRNA detection platforms, with a focus on rapid, point-of-care testing, to evaluate the benefits and obstacles of miRNA biomarkers for infectious disease.

Ambrose RL, Brice AM, Caputo AT, Alexander MR, Tribolet L, Liu YC, Adams TE, Bean AGD, Stewart CR. Heliyon, 6. Science Direct.

Regulation of type-I interferon (IFN) production is essential to the balance between antimicrobial defence and autoimmune disorders. The human protein-coding gene ILRUN (inflammation and lipid regulator with UBA-like and NBR1-like domains, previously C6orf106) was recently characterised as an inhibitor of antiviral and proinflammatory cytokine (interferon-alpha/beta and tumor necrosis factor alpha) transcription. Currently there is a paucity of information about the molecular characteristics of ILRUN, despite it being associated with several diseases including virus infection, coronary artery disease, obesity and cancer. Here, we characterise ILRUN as a highly phylogenetically conserved protein containing UBA-like and a NBR1-like domains that are both essential for inhibition of type-I interferon and tumor necrosis factor alpha) transcription in human cells. We also solved the crystal structure of the NBR1-like domain, providing insights into its potential role in ILRUN function. This study provides critical information for future investigations into the role of ILRUN in health and disease.

Alexander MR, Rootes CL , Jansen van Vuren P, Stewart CR. Journal of Virological Methods, 286. PubMed.

The development of medical countermeasures against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires robust viral assays. Here we have adapted a protocol for polyethylene glycol (PEG)-mediated precipitation of SARS-CoV-2 stocks without the need for ultracentrifugation. Virus precipitation resulted in a ∼1.5 log10 increase in SARS-CoV-2 titres of virus prepared in VeroE6 cells and enabled the infection of several immortalized human cell lines (Caco-2 and Calu-3) at a high multiplicity of infection not practically achievable without virus concentration. This protocol underscores the utility of PEG-mediated precipitation for SARS-CoV-2 and provides a resource for a range of coronavirus research areas.