Under climate change, superbugs may thrive

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Australia; International; VIC
Photo by Roberto Sorin on Unsplash
Photo by Roberto Sorin on Unsplash

Superbugs, or antibiotic-resistant bacteria, are responsible for over a million deaths annually but this could increase to almost 2 million by 2050 as the climate changes, according to Australian and international researchers. The team says the bulk of the efforts to tackle antimicrobial resistance (AMR) have focused on reducing antibiotic use, but it's likely rising temperatures, air pollution and extreme weather caused by climate change will make the problem worse. The researchers used data on six key antibiotic-resistant pathogens to model how environmental and policy factors could influence AMR, and found a worst-case climate change scenario could increase it by 2.4% by 2050. Lowering healthcare costs and expanding access to immunisation, hygiene and clean water could help mitigate the problem, they say.

Media release

From: Springer Nature

Health: Climate change may increase global burden of antimicrobial resistance

Current climate change trajectories, and failing to meet sustainable development strategies, could contribute to an increase in the global burden of antimicrobial resistance (AMR) by 2050, according to a study published in Nature Medicine. The authors project that AMR could increase by up to 2.4% globally by 2050, and call for urgent action to address broader socioeconomic and environmental factors beyond simply reducing antibiotic use to mitigate the global AMR burden.

In 2021, bacterial AMR was responsible for an estimated 1.14 million deaths globally, disproportionally affecting low- and middle-income countries. This number is expected to increase to nearly 2 million deaths by 2050. Recognising the severity of AMR burden, world leaders of the 79th United National General Assembly issued a declaration committing to reducing the 4.95 million global bacterial AMR-related human deaths by 10% by 2030. However, much of the AMR response has been focused on excessive antibiotic use, and less attention has been given to the context of climate change and socioeconomic conditions.

Lianping Yang and colleagues analysed 4,502 records encompassing 32 million isolates of 6 key bacterial pathogens resistant to antimicrobials, obtained from 101 countries between 1999 and 2022. Using forecasting models, they investigated how socioeconomic and environmental factors and policies would influence global AMR trends. Their findings suggest that under the worst-case climate change-adaptation scenario, in which global temperatures would increase by 4–5oC by the end of century (SSP5-8.5), AMR could increase by 2.4% by 2050, compared to the low-emission scenario (SSP1-2.6). This varied between 0.9% in high-income countries and 4.1% and 3.3% in lower-middle-countries and lower-income countries, respectively.

Yang and colleagues also found that sustainable development efforts, such as lowering out-of-pocket health expenses, expanding immunization coverage, increasing health investments and ensuring universal access to water, sanitary and hygiene services, could reduce the future prevalence of AMR by 5.1% compared to the baseline. This would surpass the effect of reducing antimicrobial consumption, which is projected to lower AMR prevalence by 2.1%.

The authors acknowledge that causality cannot be drawn due to the ecological modeling approach, as well as limitations of the quality of AMR surveillance datasets. Additionally, the primary models did not account for certain factors that contribute to AMR, such as education, antimicrobial use in food production, and animal farming practices, owing to data unavailability.

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Journal/
conference:
Nature Medicine
Research:Paper
Organisation/s: La Trobe University, Sun Yat-sen University, China
Funder: This study was partially funded by grants from the National Natural Science Foundation of China (grant nos. 72374228 and 72074234 to L.Y.), China Medical Board (grant no. CMB-OC-19-337 to L.Y.), and Guangdong Basic and Applied Basic Research Foundation (grant no. 2023A1515010163 to L.Y.), Guangzhou Basic and Applied Basic Research Program, China (grant no. 2025A04J5118 to L.Y.), National Key R&D Program of China (grant no. 2018YFA0606200 to C.H.).
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