AAAlicia Arnott

Alicia Arnott

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Alicia Arnott has a total of 208 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Communicable diseases genomics network: promoting and harmonising pathogen genomics implementation for public health in Australia

    by Chantel Lin, Amy V. Jennison, Lex E.X. Leong, David J. Speers, Ella M. Meumann, Louise Cooley, Karina Kennedy, Alicia Arnott, David Winter, William Rawlinson, et al.

  • Open Access

    Pangenome Analysis of a Salmonella Enteritidis Population Links a Major Outbreak to a Gifsy-1-Like Prophage Containing Anti-Inflammatory Gene gogB

    by Adam J. Svahn, Carl J. E. Suster, Sheryl L. Chang, Rebecca J. Rockett, Eby M. Sim, Oliver M. Cliff, Qinning Wang, Alicia Arnott, Marc Ramsperger, Tania C. Sorrell, et al.

    We examined 5 years of genomic and epidemiological data for the significant global foodborne pathogen, Salmonella enterica . Although Salmonella enterica subspecies enterica serovar Enteritidis ( S. Enteritidis ) is the leading cause of salmonellosis in the USA and Europe, prior to 2018 it was not endemic in the southern states of Australia.


  • Open Access

    Emergent Omicron BR.2.1 sublineage of SARS-CoV-2 in New South Wales, Australia: a subvariant with high fitness but without increased disease severity

    by Annaleise R Howard-Jones, Alicia Arnott, Jenny Draper, Mailie Gall, Sally Ellis, Kelsi Marris, Christine Selvey, Kerri Basile, Dominic E Dwyer, Vitali Sintchenko, et al.


  • Open Access

    Improved Neutralisation of the SARS-CoV-2 Omicron Variant following a Booster Dose of Pfizer-BioNTech (BNT162b2) COVID-19 Vaccine

    by Kerri Basile, Rebecca J. Rockett, Kenneth McPhie, Michael Fennell, Jessica Johnson-Mackinnon, Jessica E. Agius, Winkie Fong, Hossinur Rahman, Danny Ko, Linda Donavan, et al.

    In late November 2021, the World Health Organization declared the SARS-CoV-2 lineage B.1.1.529 the fifth variant of concern, Omicron. This variant has acquired over 30 mutations in the spike protein (with 15 in the receptor-binding domain), raising concerns that Omicron could evade naturally acquired and vaccine-derived immunity. We utilized an authentic virus, multicycle neutralisation assay to demonstrate that sera collected one, three, and six months post-two doses of Pfizer-BioNTech BNT162b2 had a limited ability to neutralise SARS-CoV-2. However, four weeks after a third dose, neutralising antibody titres were boosted. Despite this increase, neutralising antibody titres were reduced fourfold for Omicron compared to lineage A.2.2 SARS-CoV-2.


  • Open Access

    COVID-19 Infection With the Omicron SARS-CoV-2 Variant in a Cohort of Kidney and Kidney Pancreas Transplant Recipients: Clinical Features, Risk Factors, and Outcomes

    by Germaine Wong, Matthew Fracp Rowlandson, Dharshana Fracp Sabanayagam, Andrew N. Ginn, Kathy Np Kable, Frederika DipHealthScience Sciberras, Eric Fracp Au, Jenny Draper, Alicia Arnott, Vitali Sintchenko, et al.

    Export Background. Since November 2021, a new variant of concern (VOC), the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage B.1.1.529 (Omicron) has emerged as the dominant coronavirus disease 2019 (COVID-19) infection worldwide. We describe the clinical presentation, risk factors, and outcomes in a cohort of kidney and kidney pancreas transplant recipients with COVID-19 caused by Omicron infection. Methods. We included all kidney and kidney pancreas transplant recipients diagnosed with SARS-CoV-2 Omicron infections between December 26, 2021, and January 14, 2022, in a single transplant center in Australia. Identification of the VOC Omicron was confirmed using phylogenetic analysis of SARS-CoV-2 sequences. Results. Forty-one patients with kidney (6 living and 33 deceased) and kidney pancreas transplants were diagnosed with the VOC Omicron (lineage B.1.1.529/BA.1) infection during the study period. The mean age (SD) at the time of diagnosis was 52 (11.1) y; 40 (out of 41) (98%) had received at least 2 doses of COVID-19 vaccine. Cough was the most frequent symptom (80.5%), followed by myalgia (70.7%), sore throat (63.4%), and fever (58.5%). After a follow-up time of 30 d, 1 (2.4%) patient died, 2 (4.9%) experienced multiorgan failure, and 5 (12.2%) had respiratory failure; 11 (26.8%) patients developed other superimposed infections. Compared with recipients who did not receive sotrovimab antibody therapy, the odds ratio (95% confidence interval) for hospitalization among patients who received sotrovimab was 0.05 (0.005-0.4). Conclusions. Despite double or triple dose vaccination, VOC Omicron infections in kidney and kidney pancreas transplant recipients are not necessarily mild. Hospitalization rates remained high (around 56%), and sotrovimab use may prevent hospitalization.


  • Open Access

    SARS-CoV-2 Within-Host and in vitro Genomic Variability and Sub-Genomic RNA Levels Indicate Differences in Viral Expression Between Clinical Cohorts and in vitro Culture

    by Jessica E. Agius, Jessica C. Johnson-Mackinnon, Winkie Fong, Mailie Gall, Connie Lam, Kerri Basile, Jen Kok, Alicia Arnott, Vitali Sintchenko, Rebecca J. Rockett

    Background: Low frequency intrahost single nucleotide variants (iSNVs) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) have been increasingly recognised as predictive indicators of positive selection. Particularly as growing numbers of SARS-CoV-2 variants of interest (VOI) and concern (VOC) emerge. However, the dynamics of subgenomic RNA (sgRNA) expression and its impact on genomic diversity and infection outcome remain poorly understood. This study aims to investigate and quantify iSNVs and sgRNA expression in single and longitudinally sampled cohorts over the course of mild and severe SARS-CoV-2 infection, benchmarked against an in vitro infection model.Methods: Two clinical cohorts of SARS-CoV-2 positive cases in New South Wales, Australia collected between March 2020 and August 2021 were sequenced. Longitudinal samples from cases hospitalised due to SARS-CoV-2 infection (severe) (n = 16) were analysed and compared with cases that presented with SARS-CoV-2 symptoms but were not hospitalised (mild) (n = 23). SARS-CoV-2 genomic diversity profiles were also examined from daily sampling of culture experiments for three SARS-CoV-2 variants (Lineage A, B.1.351, and B.1.617.2) cultured in VeroE6 C1008 cells (n = 33).Results: Intrahost single nucleotide variants were detected in 83% (19/23) of the mild cohort cases and 100% (16/16) of the severe cohort cases. SNP profiles remained relatively fixed over time, with an average of 1.66 SNPs gained or lost, and an average of 4.2 and 5.9 low frequency variants per patient were detected in severe and mild infection, respectively. sgRNA was detected in 100% (25/25) of the mild genomes and 92% (24/26) of the severe genomes. Total sgRNA expressed across all genes in the mild cohort was significantly higher than that of the severe cohort. Significantly higher expression levels were detected in the spike and the nucleocapsid genes. There was significantly less sgRNA detected in the culture dilutions than the clinical cohorts.Discussion and Conclusion: The positions and frequencies of iSNVs in the severe and mild infection cohorts were dynamic overtime, highlighting the importance of continual monitoring, particularly during community outbreaks where multiple SARS-CoV-2 variants may co-circulate. sgRNA levels can vary across patients and the overall level of sgRNA reads compared to genomic RNA can be less than 1%. The relative contribution of sgRNA to the severity of illness warrants further investigation given the level of variation between genomes. Further monitoring of sgRNAs will improve the understanding of SARS-CoV-2 evolution and the effectiveness of therapeutic and public health containment measures during the pandemic.


  • Top Cited Papers

    Resistance Mutations in SARS-CoV-2 Delta Variant after Sotrovimab Use

    by Rebecca Rockett, Kerri Basile, Susan Maddocks, Winkie Fong, Jessica E. Agius, Jessica Johnson-Mackinnon, Alicia Arnott, Shona Chandra, Mailie Gall, Jenny Draper, et al.

    Sotrovimab is a monoclonal antibody that is available under emergency use authorization for the treatment of patients who are at risk for progression of coronavirus disease 2019 (Covid-19) to severe disease.1 Sotrovimab is thought to neutralize all sarbecoviruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), by binding to a highly conserved epitope within the receptor-binding domain.2 However, the use of SARS-CoV-2–specific monoclonal antibodies to target a single viral epitope warrants caution because of the risk of rapid development of mutations that confer resistance after exposure to these antibodies.2-4 Mutations at positions S:E340K/A/V and S:P337L/T ( Figure 1A ) have been associated with a reduction by a factor of 100 to 297 in neutralization by sotrovimab.5


  • Open Access

    SARS-CoV-2 Genome Sequencing Methods Differ in Their Abilities To Detect Variants from Low-Viral-Load Samples

    by C. Lam, K. Gray, M. Gall, R. Sadsad, A. Arnott, J. Johnson-Mackinnon, W. Fong, K. Basile, J. Kok, D. E. Dwyer, et al.

    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic surveillance has been vital in understanding the spread of coronavirus disease 2019 (COVID-19), the emergence of viral escape mutants, and variants of concern. However, low viral loads in clinical specimens affect variant calling for phylogenetic analyses and detection of low-frequency variants, important in uncovering infection transmission chains.


  • Open Access

    Documenting Elimination of Co-Circulating Covid-19 Clusters Using Genomics in New South Wales, Australia

    by Alicia Arnott, Jenny Draper, Rebecca J Rockett, Connie Lam, Rosemarie Sadsad, Mailie Gall, Elena Martinez, Roy Byun, Jennie Musto, Ben Marais, et al.

    Objective: To adapt ‘fishplots’ to describe SARS-CoV-2 genomic cluster evolution. Results: This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions on the emergence, spread and eventual elimination of clusters and distilled genomic data into clear information to inform public health action.

  • Open Access

    Genomic Surveillance Enables Suitability Assessment of Salmonella Gene Targets Used for Culture-Independent Diagnostic Testing

    by Rebecca J. Rockett, Alicia Arnott, Qinning Wang, Peter Howard, Vitali Sintchenko

    Salmonella is a highly diverse genus consisting of over 2,600 serovars responsible for high-burden food- and waterborne gastroenteritis worldwide. Sensitivity and specificity of PCR-based culture-independent diagnostic testing (CIDT) systems for Salmonella , which depend on a highly conserved gene target, can be affected by single nucleotide polymorphisms (SNPs), indels, and genomic rearrangements within primer and probe sequences. This report demonstrates the value of prospectively collected genomic data for verifying CIDT targets.