The One Health concept acknowledges the importance of multiple dimensions in controlling antimicrobial resistance(AMR).However,our understanding of how anthropological,socioeconomic,and environmental factors drive AMR...The One Health concept acknowledges the importance of multiple dimensions in controlling antimicrobial resistance(AMR).However,our understanding of how anthropological,socioeconomic,and environmental factors drive AMR at a national level remains limited.To explore associations between potential contributing factors and AMR,this study analyzed an extensive database comprising 13 major antibioticresistant bacteria and over 30 predictors(e.g.,air pollution,antibiotic usage,economy,husbandry,public services,health services,education,diet,climate,and population)from 2014 to 2020 across China.The multivariate analysis results indicate that fine particulate matter with a diameter of 2.5 μm or less(PM_(2.5))is associated with AMR,accounting for 12%of the variation,followed by residents’income(10.3%)and antibiotic usage density(5.1%).A reduction in PM_(2.5)of 1 μg·m^(-3)is linked to a 0.17%decrease in aggregate antibiotic resistance(p<0.001,R^(2)=0.74).Under different scenarios of China’s PM_(2.5)airquality projections,we further estimated the premature death toll and economic burden derived from PM_(2.5)-related antibiotic resistance in China until 2060.PM_(2.5)-derived AMR is estimated to cause approximately 27000(95%confidence interval(CI):646848830)premature deaths and about 0.51(95%CI;0.12-0.92)million years of life lost annually in China,equivalent to an annual welfare loss of 8.4(95%CI;2.0-15.0)billion USD.Implementing the“Ambitious Pollution 1.5℃ Goals”scenario to reduce PM_(2.5)concentrations could prevent roughly 14000(95%CI;3324-26320)premature deaths—with a potential monetary value of 9.8(95%CI;2.2-17.6)billion USD—from AMR by 2060.These results suggest that reducing air pollution may offer co-benefits in the health and economic sectors by mitigating AMR.展开更多
Antibiotic resistance is a sword of Damocles that hangs over humans.In regards to airborne antibiotic resistance genes(AARGs),critical knowledge gaps still exist in the identification of hotspots and quantification of...Antibiotic resistance is a sword of Damocles that hangs over humans.In regards to airborne antibiotic resistance genes(AARGs),critical knowledge gaps still exist in the identification of hotspots and quantification of exposure levels in different environments.Here,we have studied the profiles of AARGs,mobile genetic elements(MGEs)and bacterial communities in various atmospheric environments by high throughput q PCR and 16S r RNA gene sequencing.We propose a new AARGs exposure dose calculation that uses short-term inhalation(STI).Swine farms and hospitals were high-risk areas where AARGs standardised abundance was more abundant than suburbs and urban areas.Additionally,resistance gene abundance in swine farm worker sputum was higher than that in healthy individuals in other environments.The correlation between AARGs with MGEs and bacteria was strong in suburbs but weak in livestock farms and hospitals.STI exposure analysis revealed that occupational intake of AARGs(via PM10)in swine farms and hospitals were 110 and 29 times higher than in suburbs,were 1.5×10^(4),5.6×10^(4)and 5.1×10^(2)copies,i.e.,61.9%,75.1%and 10.7%of the overall daily inhalation intake,respectively.Our study comprehensively compares environmental differences in AARGs to identify high-risk areas,and forwardly proposes the STI exposure dose of AARGs to guide risk assessment.展开更多
基金funded by the National Natural Science Foun-dation of China(22406168,W2411031,and 52270201)the China Postdoctoral Science Foundation(2023M733061)the Zhejiang University Global Partnership Fund(100000-11320/198).
文摘The One Health concept acknowledges the importance of multiple dimensions in controlling antimicrobial resistance(AMR).However,our understanding of how anthropological,socioeconomic,and environmental factors drive AMR at a national level remains limited.To explore associations between potential contributing factors and AMR,this study analyzed an extensive database comprising 13 major antibioticresistant bacteria and over 30 predictors(e.g.,air pollution,antibiotic usage,economy,husbandry,public services,health services,education,diet,climate,and population)from 2014 to 2020 across China.The multivariate analysis results indicate that fine particulate matter with a diameter of 2.5 μm or less(PM_(2.5))is associated with AMR,accounting for 12%of the variation,followed by residents’income(10.3%)and antibiotic usage density(5.1%).A reduction in PM_(2.5)of 1 μg·m^(-3)is linked to a 0.17%decrease in aggregate antibiotic resistance(p<0.001,R^(2)=0.74).Under different scenarios of China’s PM_(2.5)airquality projections,we further estimated the premature death toll and economic burden derived from PM_(2.5)-related antibiotic resistance in China until 2060.PM_(2.5)-derived AMR is estimated to cause approximately 27000(95%confidence interval(CI):646848830)premature deaths and about 0.51(95%CI;0.12-0.92)million years of life lost annually in China,equivalent to an annual welfare loss of 8.4(95%CI;2.0-15.0)billion USD.Implementing the“Ambitious Pollution 1.5℃ Goals”scenario to reduce PM_(2.5)concentrations could prevent roughly 14000(95%CI;3324-26320)premature deaths—with a potential monetary value of 9.8(95%CI;2.2-17.6)billion USD—from AMR by 2060.These results suggest that reducing air pollution may offer co-benefits in the health and economic sectors by mitigating AMR.
基金supported by the Natural Science Foundation of China(No.21876147)the Fundamental Research Funds for the Central Universities+1 种基金the Zhejiang University Global Partnership Fundthe China Scholarship Council and the Zhejiang University Academic Award for Outstanding Doctoral Candidates。
文摘Antibiotic resistance is a sword of Damocles that hangs over humans.In regards to airborne antibiotic resistance genes(AARGs),critical knowledge gaps still exist in the identification of hotspots and quantification of exposure levels in different environments.Here,we have studied the profiles of AARGs,mobile genetic elements(MGEs)and bacterial communities in various atmospheric environments by high throughput q PCR and 16S r RNA gene sequencing.We propose a new AARGs exposure dose calculation that uses short-term inhalation(STI).Swine farms and hospitals were high-risk areas where AARGs standardised abundance was more abundant than suburbs and urban areas.Additionally,resistance gene abundance in swine farm worker sputum was higher than that in healthy individuals in other environments.The correlation between AARGs with MGEs and bacteria was strong in suburbs but weak in livestock farms and hospitals.STI exposure analysis revealed that occupational intake of AARGs(via PM10)in swine farms and hospitals were 110 and 29 times higher than in suburbs,were 1.5×10^(4),5.6×10^(4)and 5.1×10^(2)copies,i.e.,61.9%,75.1%and 10.7%of the overall daily inhalation intake,respectively.Our study comprehensively compares environmental differences in AARGs to identify high-risk areas,and forwardly proposes the STI exposure dose of AARGs to guide risk assessment.
