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Latest work

Emerging AMR Campylobacter in LMICs

Attributing the source of Campylobacter infections

Attributing the source of Campylobacter infections

Cooper et al (2024)

Sharing of cmeRABC alleles between C. coli and C. jejuni associated with extensive drug resistance in Campylobacter in the Peruvian Amazon

mBio

Behind the paper

Attributing the source of Campylobacter infections

Attributing the source of Campylobacter infections

Attributing the source of Campylobacter infections

Pascoe et al (2024)

Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data


Journal of Infection

Behind the paper

Asymptomatic carriage of Campylobacter

Attributing the source of Campylobacter infections

Asymptomatic carriage of Campylobacter

Schiaffino & Colson et al

(2024)

The epidemiology and impact of persistent Campylobacter infections on childhood growth 


The Lancet Discovery Science

Behind the paper

Zoonotic transfer of AMR

Attributing the source of Campylobacter infections

Asymptomatic carriage of Campylobacter

Mourkas & Valdebenito et al

(2024)

Proximity to humans is associated with antimicrobial-resistant enteric pathogens in wild bird microbiomes


Current Biology

Behind the paper

research themes

Global pathogen genomics

Our research tackles some of the world’s most pressing health issues, focusing on diseases that disproportionately impact low- and middle-income countries (LMICs). Diarrheal disease, for example, is the second leading cause of death among children under five in these regions. By combining expertise in microbiology, genomics, and systems biology, we aim to better understand how these diseases spread, persist, and cause harm. 


Current Focus Areas: We collaborate with partners across South America, West Africa, and Southeast Asia to fill critical gaps in our understanding of local disease dynamics, particularly in regions where data is scarce.

The evolution and spread of AMR

A Growing Global Threat: Antimicrobial resistance (AMR) in gut infections poses a major challenge to effective treatment. Our team has identified novel genetic mechanisms behind resistance to key antibiotics used in LMICs, including macrolides and fluoroquinolones. These discoveries are vital for shaping future treatment strategies.


The Bigger Picture: Resistance evolves differently depending on the mechanism—sometimes through subtle genetic mutations, and other times through the transfer of entire resistance genes between species. Our work explores these dynamics, aiming to prevent the spread of resistance through the food chain.


Current Efforts: We are investigating how resistance develops in pathogens like Campylobacter and Salmonella, particularly concerning the widely used antibiotic azithromycin.


Key Question: Can resistance genes jump from livestock to humans, driving new outbreaks of food borne illnesses?

Predicting disease outcomes from microbial genomes

The Power of Genomics: Advances in DNA sequencing have transformed how we study microbes, allowing us to explore how specific genetic differences influence the severity of diseases. However, working with large genome datasets can be daunting. Our team has developed tools and infrastructure to support researchers worldwide, including building bioinformatics capabilities in places like Viet Nam and The Gambia.


Impactful Discoveries: Our genomic studies have linked specific bacterial strains to severe conditions like gastrointestinal cancer, irritable bowel syndrome, and Guillain-Barre syndrome. These insights are not only advancing science but also informing practical solutions, such as tailored veterinary treatments and improved disease surveillance.


Current Initiatives: We’re using cutting-edge methods to identify genetic markers in Campylobacter jejuni that increase the risk of post-infection complications like Guillain-Barre syndrome.


Key Question: Can we pinpoint genetic traits that make certain strains more dangerous and use this knowledge to predict or prevent severe disease outcomes?

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