Antimicrobial resistance (AMR) is an urgent threat to public health, but gaps in surveillance limit the detection of emergent novel threats and knowledge about the global distribution of AMR genes. International travelers frequently acquire AMR organisms, and thus may provide a window into AMR dynamics in otherwise poorly monitored regions and environments. To assess the utility of travelers as global AMR sentinels, we collected pre- and post-travel stool samples from 608 travelers, which were screened for the presence of extended-spectrum beta-lactamase producing Enterobacterales, carbapenem-resistant Enterobacterales, and -mediated colistin-resistant Enterobacterales. A total of 307 distinct AMR organisms were sequenced in order to determine genotypic patterns and their association with travel region and behavior. Travel-associated AMR organisms were overwhelmingly , which exhibited considerable phylogenetic diversity regardless of travel region. However, the prevalence of resistance genes varied by region, with and significantly more common in travelers returning from South America and South-Eastern Asia, respectively. Hybrid assembly and plasmid reconstruction revealed the genomic neighborhood of frequently matched a motif previously linked to animal populations. Contact with animals was also associated with virulence factors in acquired AMR organisms, including carriage of the ColV plasmid, a driver of avian pathogenic . We identified novel variants of the gene in strains acquired from Western Africa, highlighting the potential for traveler surveillance to detect emerging clinical threats. Ongoing efforts to track travel-acquired organisms could complement existing global AMR surveillance frameworks.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11838388PMC
http://dx.doi.org/10.1101/2025.01.27.635056DOI Listing

Publication Analysis

Top Keywords

amr organisms
16
amr
9
antimicrobial resistance
8
international travelers
8
global amr
8
travel region
8
travelers
5
organisms
5
insights global
4
global antimicrobial
4

Similar Publications

New antibiotics targeting Gram-negative bacilli.

Infez Med

March 2025

Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.

Antimicrobial resistance (AMR) is an emerging global threat. It increases mortality and morbidity rates and places a heavy burden on healthcare systems. Healthcare professionals can address the increasing issue of AMR by advocating responsible antibiotic use and supporting the development of new medications.

View Article and Find Full Text PDF

Background And Objectives: Carbapenem-resistant Gram-negative bacilli (CRGNB), especially and , are critical pathogens associated with excess morbidity and mortality. To elucidate their molecular epidemiology and clinical outcomes in Japan, patients with CRGNB were enrolled in the MDR organisms clinical research network (MDRnet) consisting of eight tertiary care facilities.

Methods: Between 2019 and 2022, 246 unique patients with carbapenem-resistant (CRE), carbapenem-resistant (CRPA) and carbapenem-resistant (CRAB) isolates were prospectively enrolled.

View Article and Find Full Text PDF

Antimicrobial resistance (AMR) poses a significant challenge in healthcare and public health, with organisms such as nontyphoidal Salmonella leading the way due to their escalating resistance to antimicrobial agents. This situation severely complicates the management and containment of diseases, highlighting the urgent need for more effective techniques to assess antimicrobial susceptibility. Conventional methods, including the broth microdilution technique for determining Minimum Inhibitory Concentrations (MICs), are time-consuming and require extensive manual effort.

View Article and Find Full Text PDF

Antimicrobial resistance (AMR) is a major public health threat with the highest burden being estimated to be in low- and middle-income countries. Fiji is an upper-middle-income country in Oceania. Recent studies from Fiji highlighted the increasing burden of carbapenem resistant organisms (CRO) such as Acinetobacter baumannii, Pseudomonas aeruginosa and Escherichia coli.

View Article and Find Full Text PDF

PICASO Set Operator for Computational Nephropathology.

Kidney360

March 2025

Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA.

Background: The advent of digital nephropathology offers the potential to integrate deep learning algorithms into the diagnostic workflow. We introduce PICASO, a novel permutation-invariant set operator to dynamically aggregate histopathologic features from instances. We applied PICASO to two nephropathology scenarios: detecting active crescent lesions in sets of glomerular crops with IgA nephropathy and case-level classification for antibody-mediated rejection (AMR) in kidney transplant.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!