Monitoring longitudinal antimicrobial resistance trends of Staphylococcus aureus strains worldwide over the past 100 years to decipher its evolution and transmission

• Published in: Journal of hazardous materials Vol. 465; p. 133136
• Main Authors: Fang, Guan-Yu, Wu, Feng-Hua, Mu, Xiao-Jing, Jiang, Yu-Jian, Liu, Xing-Quan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 05.03.2024
• Subjects: algorithms; Anti-Bacterial Agents - pharmacology; antibiotic resistance; antibiotics; Antimicrobial resistance; Drug Resistance, Bacterial; evolution; Food; food waste; Genomic analysis; human development; Humans; Machine learning; Mobile genetic elements; public health; Refuse Disposal; risk; Staphylococcal Infections; Staphylococcus aureus; structural equation modeling; wastewater treatment; Genomic analysis; Antimicrobial resistance; Staphylococcus aureus; Mobile genetic elements; Machine learning
• ISSN: 0304-3894; 1873-3336; 1873-3336
• DOI: 10.1016/j.jhazmat.2023.133136

Staphylococcus aureus inhabits diverse habitats including food waste and wastewater treatment plants. Cases of S. aureus-induced infection are commonly reported worldwide. The emergence of antimicrobial resistance (AMR) of S. aureus is a growing public health threat worldwide. Here, we longitudinally monitored global trends in antibiotic resistance genes (ARGs) of 586 S. aureus strains, isolated between 1884 and 2022. The ARGs in S. aureus exhibited a significant increase over time (P < 0.0001). Mobile genetic elements play a crucial role in the transfer of ARGs in S. aureus strains. The structural equation model results revealed a significant correlation between the human development index and rising antibiotic consumption, which subsequently leads to an indirect escalation of AMR in S. aureus strains. Lastly, a machine learning algorithm successfully predicted the AMR risk of global terrestrial S. aureus with over 70% accuracy. Overall, these findings provided valuable insights for managing AMR in S. aureus. [Display omitted] •Distinct increase in AMR among S. aureus during recent decades.•The human development index drives the consumption of antibiotics.•Antibiotic consumption promotes the increase of AMR in S. aureus.•MGEs are important contributors to ARGs in S. aureus.•AMR risk map in terrestrial habitats was constructed with over 70% accuracy.