A One-Health Quantitative Model to Assess the Risk of Antibiotic Resistance Acquisition in Asian Populations: Impact of Exposure Through Food, Water, Livestock and Humans

The impacts of animal agriculture on One Health-Bacterial zoonosis, antimicrobial resistance, and beyond

The industrialization of animal agriculture has undoubtedly contributed to the improvement of human well-being by increasing the efficiency of food animal production. At the same time, it has also drastically impacted the natural environment and human society. The One Health initiative emphasizes the interdependency of the health of ecosystems, animals, and humans. In this paper, we discuss some of the most profound consequences of animal agriculture practices from a One Health perspective. More specifically, we focus on impacts to host-microbe interactions by elaborating on how modern animal agriculture affects zoonotic infections, specifically those of bacterial origin, and the concomitant emergence of antimicrobial resistance (AMR). A key question underlying these deeply interconnected issues is how to better prevent, monitor, and manage infections in animal agriculture. To address this, we outline approaches to mitigate the impacts of agricultural bacterial zoonoses and AMR, including the development of novel treatments as well as non-drug approaches comprising integrated surveillance programs and policy and education regarding agricultural practices and antimicrobial stewardship. Finally, we touch upon additional major environmental and health factors impacted by animal agriculture within the One Health context, including animal welfare, food security, food safety, and climate change. Charting how these issues are interwoven to comprise the complex web of animal agriculture's broad impacts on One Health will allow for the development of concerted, multidisciplinary interventions which are truly necessary to tackle these issues from a One Health perspective.

One Health-based management for sustainably mitigating tetracycline-resistant Aeromonas hydrophila-induced health risk

Aeromonas hydrophila has ability to spread tetracycline resistance (tetR) under stresses of oxytetracycline (OTC), one of the most important antibiotics in aquaculture industry. Even though environmental reservoir of Aeromonas allows it to be at interfaces across One Health components, a robust modelling framework for rigorously assessing health risks is currently lacking. We proposed a One Health-based approach and leveraged recent advances in quantitative microbial risk assessment appraised by available dataset to interpret interactions at the human-animal-environment interfaces in various exposure scenarios. The dose-response models were constructed considering the effects on mortality for aquaculture species and tetR genes transfer for humans. A scenario-specific risk assessment on pond species-associated A. hydrophila infection and human gut-associated tetR genes transfer was examined. Risk-based control strategies were involved to test their effectiveness. We showed that farmed shrimp exposed to tetracycline-resistant A. hydrophila in OTC-contaminated water experienced higher infection risk (relative risk: 1.25-1.34). The tetR genes transfer risk for farmers in shrimp ponds (∼2 × 10-4) and swimmers in coastal areas (∼4 × 10-6) during autumn exceeded acceptable risk (10-6). This cautionary finding underscores the importance of accounting for monitoring, assessing, and mitigating occupational health hazards among workers in shrimp farming sectors within future One Health-based strategies for managing water infection risks. We recommend that OTC emission rate together with A. hydrophila concentration should be reduced by up to 70-99% to protect human, farmed shrimp, and environmental health. Our predictive framework can be adopted for other systems and be used as a "risk detector" for assessing tetR-related health risks that invoke potential risk management on addressing sustainable mitigation on offsetting residual OTC emission and tetR genes spread in a species-human-environmental health system.

Identification, Typing, and Drug Resistance Analysis of Escherichia coli in Two Different Types of Broiler Farms in Hebei Province

Hebei Province is an important area for breeding broiler chickens in China, but the antimicrobial resistance and prevalence of Escherichia coli (E. coli) are still unclear. A total of 180 cloacal samples from broiler farms in Hebei Province were collected and used for the isolation and identification of E. coli. The isolates were subjected to resistance phenotyping, resistance profiling, and genotyping, and some multiresistant strains were subjected to multilocus sequence typing (MLST). The results showed that 175 strains were isolated. Among both types of broiler farms, the ampicillin resistance rate was the highest, and the meropenem resistance rate was the lowest. Serious multiresistance was present in both types of broiler farms. Thirty strains of multidrug-resistant E. coli were typed by MLST to obtain a total of 18 ST types, with ST10 being the most prevalent. This study was to simply analyze the antimicrobial resistance and prevalence of E. coli in broiler chickens in Hebei Province after the implementation of the pilot work program of action to reduce the use of veterinary antimicrobials in standard farms (SFs) and nonstandard farms (NSFs). This study will provide a research basis and data support for the prevention and control of E. coli in Hebei.

Animal sources of antimicrobial-resistant bacterial infections in humans: a systematic review

Bacterial antimicrobial resistance (AMR) is among the leading global health challenges of the century. Animals and their products are known contributors to the human AMR burden, but the extent of this contribution is not clear. This systematic literature review aimed to identify studies investigating the direct impact of animal sources, defined as livestock, aquaculture, pets, and animal-based food, on human AMR. We searched four scientific databases and identified 31 relevant publications, including 12 risk assessments, 16 source attribution studies, and three other studies. Most studies were published between 2012 and 2022, and most came from Europe and North America, but we also identified five articles from South and South-East Asia. The studies differed in their methodologies, conceptual approaches (bottom-up, top-down, and complex), definitions of the AMR hazard and outcome, the number and type of sources they addressed, and the outcome measures they reported. The most frequently addressed animal source was chicken, followed by cattle and pigs. Most studies investigated bacteria-resistance combinations. Overall, studies on the direct contribution of animal sources of AMR are rare but increasing. More recent publications tailor their methodologies increasingly towards the AMR hazard as a whole, providing grounds for future research to build on.

Metagenomic-based surveillance systems for antibiotic resistance in non-clinical settings

The success of antibiotics as a therapeutic agent has led to their ineffectiveness. The continuous use and misuse in clinical and non-clinical areas have led to the emergence and spread of antibiotic-resistant bacteria and its genetic determinants. This is a multi-dimensional problem that has now become a global health crisis. Antibiotic resistance research has primarily focused on the clinical healthcare sectors while overlooking the non-clinical sectors. The increasing antibiotic usage in the environment - including animals, plants, soil, and water - are drivers of antibiotic resistance and function as a transmission route for antibiotic resistant pathogens and is a source for resistance genes. These natural compartments are interconnected with each other and humans, allowing the spread of antibiotic resistance via horizontal gene transfer between commensal and pathogenic bacteria. Identifying and understanding genetic exchange within and between natural compartments can provide insight into the transmission, dissemination, and emergence mechanisms. The development of high-throughput DNA sequencing technologies has made antibiotic resistance research more accessible and feasible. In particular, the combination of metagenomics and powerful bioinformatic tools and platforms have facilitated the identification of microbial communities and has allowed access to genomic data by bypassing the need for isolating and culturing microorganisms. This review aimed to reflect on the different sequencing techniques, metagenomic approaches, and bioinformatics tools and pipelines with their respective advantages and limitations for antibiotic resistance research. These approaches can provide insight into resistance mechanisms, the microbial population, emerging pathogens, resistance genes, and their dissemination. This information can influence policies, develop preventative measures and alleviate the burden caused by antibiotic resistance.

Evaluación de la administración de medicamentos veterinarios en hatos lecheros de quince municipios de Cundinamarca, Colombia

Objetivo Evaluar el conocimiento en el uso de Medicamentos de Uso Veterinario (MUV) de los productores ganaderos y personal involucrado en Bogotá y municipios aledaños. Métodos Se realizó un estudio de corte transversal a través de entrevistas a operarios y productores ganaderos de una muestra de 30 hatos lecheros localizados en 15 municipios cerca de Bogotá, Cundinamarca. Resultados Se identificó la implementación de prácticas para la administración de MUV, incluyendo parámetros que influencian su administración y conocimientos en las personas que los prescriben y administran. Se encontró que los medicamentos de mayor frecuencia fueron los antimicrobianos con 60,7%, entre los cuales se destaca el uso de penicilina y oxitetraciclina. Los MUV inyectables (parenterales) fueron las formas más frecuentes de aplicación con un 64,7%. Se identificaron 251 MUV en los hatos lecheros, de los cuales el 81,3% están compuestos por principios activos que requieren tiempo de retiro en leche y carne. Se destaca el rol del mayordomo en el cuidado animal a nivel diagnóstico y administración del tratamiento. Conclusión El presente estudio sugiere que el uso de MUV es implementado empíricamente en producciones lecheras y podría contribuir a mediano y largo plazo a la emergencia de cepas con resistencia a MUV.

Knowledge, Social Influences, Perceived Risks and Benefits, and Cultural Values Explain the Public's Decisions Related to Prudent Antibiotic Use

People should use antibiotics (AB) prudently to mitigate antibiotic resistance (ABR). Previous studies-and, subsequently, interventions-on ABR have focused mainly on improving public awareness and knowledge. We investigated a comprehensive theory-based explanatory model to understand the public's decision making regarding prudent AB use, based on, among others, the theory of planned behavior. In a cross-sectional online survey, the psychological determinants of people's decisions about prudent AB use were examined in a sample of 1,228 Swiss adults. The questionnaire assessed respondents' demand for AB, willingness to adopt measures that prevent the need for AB, perceived risks of ABR, perceived benefits of AB, attitudes and social influences regarding AB, knowledge of AB and ABR, and cultural values. Mokken scale analysis revealed three types of knowledge: knowledge of the functioning of AB, of ABR, and of preventive measures. Structural equation modeling indicated that respondents' demand for AB was mostly predicted by social influences, perceived benefits of AB, and knowledge of AB functioning. Willingness to prevent AB use was mainly related to conservative values, perceived risks of ABR, negative attitudes toward AB, and knowledge of preventive measures. Our study suggests that the provision of information about AB and preventive measures is a first step toward changing people's decisions related to prudent AB use. Future interventions that additionally utilize cultural values to convey important messages and target additional factors, such as social influences, the risks of ABR, and the benefits of cautious AB use, can be more successful in promoting prudent AB use.

Quantifying the Relationship between Antibiotic Use in Food-Producing Animals and Antibiotic Resistance in Humans

It is commonly asserted that agricultural production systems must use fewer antibiotics in food-producing animals in order to mitigate the global spread of antimicrobial resistance (AMR). In order to assess the cost-effectiveness of such interventions, especially given the potential trade-off with rural livelihoods, we must quantify more precisely the relationship between food-producing animal antimicrobial use and AMR in humans. Here, we outline and compare methods that can be used to estimate this relationship, calling on key literature in this area. Mechanistic mathematical models have the advantage of being rooted in epidemiological theory, but may struggle to capture relevant non-epidemiological covariates which have an uncertain relationship with human AMR. We advocate greater use of panel regression models which can incorporate these factors in a flexible way, capturing both shape and scale variation. We provide recommendations for future panel regression studies to follow in order to inform cost-effectiveness analyses of AMR containment interventions across the One Health spectrum, which will be key in the age of increasing AMR.

Reducing the Risk of Transmission of Critical Antimicrobial Resistance Determinants From Contaminated Pork Products to Humans in South-East Asia

Antimicrobial resistance (AMR) is a critical challenge worldwide as it impacts public health, especially via contamination in the food chain and in healthcare-associated infections. In relation to farming, the systems used, waste management on farms, and the production line process are all determinants reflecting the risk of AMR emergence and rate of contamination of foodstuffs. This review focuses on South East Asia (SEA), which contains diverse regions covering 11 countries, each having different levels of development, customs, laws, and regulations. Routinely, here as elsewhere antimicrobials are still used for three indications: therapy, prevention, and growth promotion, and these are the fundamental drivers of AMR development and persistence. The accuracy of detection of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARG) depends on the laboratory standards applicable in the various institutes and countries, and this affects the consistency of regional data. Enterobacteriaceae such as Escherichia coli and Klebsiella pneumoniae are the standard proxy species used for indicating AMR-associated nosocomial infections and healthcare-associated infections. Pig feces and wastewater have been suspected as one of the hotspots for spread and circulation of ARB and ARG. As part of AMR surveillance in a One Health approach, clonal typing is used to identify bacterial clonal transmission from the production process to consumers and patients - although to date there have been few published definitive studies about this in SEA. Various alternatives to antibiotics are available to reduce antibiotic use on farms. Certain of these alternatives together with improved disease prevention methods are essential tools to reduce antimicrobial usage in swine farms and to support global policy. This review highlights evidence for potential transfer of resistant bacteria from food animals to humans, and awareness and understanding of AMR through a description of the occurrence of AMR in pig farm food chains under SEA management systems. The latter includes a description of standard pig farming practices, detection of AMR and clonal analysis of bacteria, and AMR in the food chain and associated environments. Finally, the possibility of using alternatives to antibiotics and improving policies for future strategies in combating AMR in a SEA context are outlined.

Disease burden of bloodstream infections caused by antimicrobial-resistant bacteria: A population-level study, Japan, 2015-2018

BACKGROUND

Antimicrobial resistance (AMR) is a global health problem. However, quantitative evaluation of its disease burden is challenging. This study aimed to estimate the disease burden of bloodstream infections (BSIs) caused by major antimicrobial-resistant bacteria in Japan between 2015 and 2018 in terms of disability-adjusted life-years (DALYs).

METHODS

DALYs of BSIs caused by nine major antimicrobial-resistant bacteria in Japan were estimated using comprehensive national surveillance data of all routine bacteriological test results from more than 1400 hospitals between 2015 and 2018. The methodology of Cassini et al. was modified to enable comparison of the present results with those in other countries.

RESULTS

It was estimated that 137.9 [95% uncertainty interval (UI) 130.7-145.2] DALYs per 100,000 population were attributable to BSIs caused by nine antimicrobial-resistant bacteria in 2018. Methicillin-resistant Staphylococcus aureus (MRSA), fluoroquinolone-resistant Escherichia coli (FQREC) and third-generation cephalosporin-resistant E. coli (3GREC) accounted for 87.2% overall. The burden did not decrease during the study period and was highest in people aged ≥65 years.

CONCLUSION

The results revealed, for the first time, the disease burden of BSIs caused by nine major antimicrobial-resistant bacteria in Japan. The estimated disease burden associated with AMR in Japan is substantial and has not begun to decrease. Notably, the burden from FQREC and 3GREC has increased steadily, and that from MRSA is larger in Japan than in the European Union/European Economic Area, whereas the burden from other bacteria is comparatively small. These results are expected to provide useful information for healthcare policy makers for prioritizing interventions for AMR.