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Highlighted Projects

Below is a selection of highlighted research projects and papers related to the AMR Centre.

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Methicillin-resistant Staphylococcus aureus (MRSA) from population to patient: burden projection and within-patient resistance dynamics in Japan and the United Kingdom

LSHTM staff: Gwen Knight, Takeshi Tanaka, Norio Ohmagari, Shinya Tsuzuki, Yusuke Asai
Funding: Nagasaki University
Project duration: Ongoing

MRSA at two connected scales, comparing Japan and the United Kingdom. First, it projects the future population burden of MRSA bloodstream infection in Japan and estimates how much could be averted by intervention. Second, it uses linked hospital and primary-care records to examine how resistance changes within individual patients and what drives it. Finally, it simulates risk-tailored interventions to inform national surveillance and policy. A cross-cutting theme is how population-level and individual-level evidence relate.

Drug-resistant tuberculosis: who has it, where does it come from and what are the next steps?

LSHTM staff: Gwen Knight, Abel Kjaersgaard
Funding: Wellcome Trust
Project duration: Ongoing

Whilst DR-TB is a major contributor to the burden of TB, very little is known about the demographics of who suffers from DR-TB and what are the optimal interventions to control. As part of a wider Wellcome Grant, this project aims to understand the current DR-TB burden, where it is likely to go and how to best use new treatment regimens to control it. 

Direct detection and sequencing of antimicrobial resistant typhoidal and non-typhoidal Salmonella in environmental surveillance sample

LSHTM staff: Kat Holt, Anton Spadar, Zoe Dyson
Funding: Gates Foundation
Project duration: May 2024 –  Ongoing

Many typhoid endemic countries lack capacity for routine blood culture, which hampers attempt to understand disease burden, and means there are no cultured isolates to assess AMR. This project aims to develop methods for detection and characterisation of the typhoid pathogen, S. Typhi, in environmental samples, including identifying clinically relevant resistance profiles (e.g., to fluoroquinolones, azithromycin, cephalosporins). Once established, such methods could be used guide deployment of new typhoid conjugate vaccines, improve WASH strategies, and to inform the public health response and local prescribing practices. If successfully, this approach could also provide proof of principle for using environmental surveillance for AMR in invasive bacterial diseases more generally, especially for settings that lack blood culture which is the case for a majority of the world's population. The project is led by Prof Nick Grassly at Imperial College.

AMRrules: Interpretive standards for AMR genotypes

LSHTM staff: Kat Holt, Ebenezer Foster-Nyarko, Zoe Dyson, Megan Carey, Charlene Rodrigues
Funding: Wellcome Trust
Project duration: May 2024 –  Ongoing

Our goal is to develop interpretive standards for AMR genotypes, akin to the interpretive standards developed by EUCAST and CLSI for antimicrobial susceptibility phenotyping. To support this we partnered with ESGEM, the ESCMID Study Group on Epidemiological Markers, to form the ESGEM-AMR Working Group to curate organism-specific rule sets in a standardised AMRrules format.

AMRnet: Unlocking pathogen genomics data for antimicrobial resistance surveillance

LSHTM staff: Loiuse Cerdeira, Zoe Dyson, Megan Carey, Mary Maranga, Vandana Sharma
Funding: Wellcome Trust
Project duration: January 2023 –  December 2025

AMRnet will be a data-visualisation dashboard that makes genome-derived antimicrobial resistance (AMR) data accessible to a wide range of stakeholders including policy makers. AMRnet visualisations will be geared towards showing national annual prevalence estimates and trends, that can be broken down and explored in terms of underlying genotypes and AMR mechanisms, for bacterial pathogens of public health importance. The concept is based on the TyphiNET dashboard, which serves data on the typhoid fever pathogen Salmonella Typhi.

KlebNET: Genomic Surveillance Platform for Klebsiella pneumoniae

LSHTM staff: Kat Holt, Ebenezer Forster-Nyarko, Charlene Rodrigues
Funding: Gates Foundation
Project duration: January 2021 –  December 2027

KlebNET-GSP aims to provide the scientific community with a unified genomic surveillance platform with tailored analytics for the Klebsiella pneumoniae species complex (KpSC). We also aim to develop an international network of scientists involved in Klebsiella research and build capacity in genomics. Core partners are LSHTM, Oxford/CGPS, Institut Pasteur, and Monash University.

Prevalence and diversity of ARGs among children suffering from severe acute malnutrition

LSHTM staff: Lynn Grignard, Alesha Myers
Funding: Action Against Hunger
Project duration: December 2027

Antibiotic prophylaxis is a key component of standard severe acute malnutrition (SAM) treatment regimens. This project will assess the prevalence and range of ARGs present in the stool of children suffering from SAM to better understand whether resistance plays a role in the treatment failure. 

Janssen and LSHTM collaboration on TB research

LSHTM staff: William Pearson, John Dallow, Ellie Davies
Funding: Janssen Pharmaceutica
Project duration: March 2020 – July 2027

The Satellite Centre for Global Health Discovery, based at the London School of Hygiene & Tropical Medicine (LSHTM), aims to develop exploratory biology for new drugs to combat tuberculosis (TB). This deadly disease was responsible for 1.6 million deaths in 2021 and accounts for nearly a third of all AMR-related deaths. The centre aims to support the development of new therapeutics to improve drug treatment options for TB, achieved in part by supporting active drug discovery biology programmes.

Colliding crises: antimicrobial resistance and ageing

LSHTM staff: Gwen Knight, Lanre Edun
Funding: Medical Research Council, UK
Project duration: September 2026 – October 2027

This project will use data analysis and mathematical modelling to explore patterns in antimicrobial resistance prevalence by age and sex. This will inform our understanding of the dynamics of AMR and how to better optimise intervention targetting.