Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance

被引:0
|
作者
Makumbi, John P. [1 ,2 ]
Leareng, Samuel K. [2 ,3 ]
Pierneef, Rian E. [1 ]
Makhalanyane, Thulani P. [1 ,2 ,3 ]
机构
[1] Univ Pretoria, Dept Biochem Genet & Microbiol, Pretoria, South Africa
[2] Stellenbosch Univ, Ctr Epidem Response & Innovat, Sch Data Sci & Computat Thinking, Stellenbosch, South Africa
[3] Stellenbosch Univ, Fac Sci, Dept MicroBiol, Stellenbosch, South Africa
基金
新加坡国家研究基金会;
关键词
Antimicrobial resistance; Antimicrobial resistant bacteria (ARB); Antimicrobial resistance genes (ARGs); Bacteria; Microbiomes; Risk assessment; ANTIBIOTIC-RESISTANCE; SELECTION; HEALTH; RISK;
D O I
10.1007/s00248-024-02463-3
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The One Health concept recognises the interconnectedness of humans, plants, animals and the environment. Recent research strongly supports the idea that the environment serves as a significant reservoir for antimicrobial resistance (AMR). However, the complexity of natural environments makes efforts at AMR public health risk assessment difficult. We lack sufficient data on key ecological parameters that influence AMR, as well as the primary proxies necessary for evaluating risks to human health. Developing environmental AMR 'early warning systems' requires models with well-defined parameters. This is necessary to support the implementation of clear and targeted interventions. In this review, we provide a comprehensive overview of the current tools used globally for environmental AMR human health risk assessment and the underlying knowledge gaps. We highlight the urgent need for standardised, cost-effective risk assessment frameworks that are adaptable across different environments and regions to enhance comparability and reliability. These frameworks must also account for previously understudied AMR sources, such as horticulture, and emerging threats like climate change. In addition, integrating traditional ecotoxicology with modern 'omics' approaches will be essential for developing more comprehensive risk models and informing targeted AMR mitigation strategies.
引用
收藏
页数:14
相关论文
共 25 条
  • [21] Global status of antimicrobial resistance among environmental isolates of Vibrio cholerae O1/O139: a systematic review and meta-analysis
    Xin-hui Yuan
    Yu-mei Li
    Ali Zaman Vaziri
    Vahab Hassan Kaviar
    Yang Jin
    Yu Jin
    Abbas Maleki
    Nazanin Omidi
    Ebrahim Kouhsari
    Antimicrobial Resistance & Infection Control, 11
  • [22] Global status of antimicrobial resistance among environmental isolates of Vibrio cholerae O1/O139: a systematic review and meta-analysis
    Yuan, Xin-hui
    Li, Yu-mei
    Vaziri, Ali Zaman
    Kaviar, Vahab Hassan
    Jin, Yang
    Jin, Yu
    Maleki, Abbas
    Omidi, Nazanin
    Kouhsari, Ebrahim
    ANTIMICROBIAL RESISTANCE AND INFECTION CONTROL, 2022, 11 (01)
  • [23] Wild birds as bioloigical indicators of environmental pollution:: biotyping and antimicrobial resistance patterns of Escherichia coli isolated from Audouin's gulls (Larus audouinii) living in the Bay of Gallipoli (Italy)
    Camarda, Antonio
    Circella, Elena
    Pennelli, Donato
    Madio, Anna
    Bruni, Giordano
    Lagrasta, Vito
    Marzano, Giacomo
    Mallia, Egidio
    Campagnari, Evelyn
    ITALIAN JOURNAL OF ANIMAL SCIENCE, 2006, 5 (03) : 287 - 290
  • [24] Global antimicrobial resistance and antibiotic use in COVID-19 patients within health facilities: A systematic review and meta-analysis of aggregated participant data
    Yang, Xinyi
    Li, Xiying
    Qiu, Shengyue
    Liu, Chaojie
    Chen, Shanquan
    Xia, Haohai
    Zeng, Yingchao
    Shi, Lin
    Chen, Jie
    Zheng, Jinkun
    Yang, Shifang
    Tian, Guobao
    Liu, Gordon
    Yang, Lianping
    JOURNAL OF INFECTION, 2024, 89 (01)
  • [25] Using whole-genome sequence data to examine the epidemiology of antimicrobial resistance in Escherichia coli from wild meso-mammals and environmental sources on swine farms, conservation areas, and the Grand River watershed in southern Ontario, Canada
    Vogt, Nadine A.
    Hetman, Benjamin M.
    Vogt, Adam A.
    Pearl, David L.
    Reid-Smith, Richard J.
    Parmley, E. Jane
    Kadykalo, Stefanie
    Ziebell, Kim
    Bharat, Amrita
    Mulvey, Michael R.
    Janecko, Nicol
    Ricker, Nicole
    Allen, Samantha E.
    Bondo, Kristin J.
    Jardine, Claire M.
    PLOS ONE, 2022, 17 (04):