Brunn Ariel A, Roustit Manon, Kadri-Alabi Zaharat, Guardabassi Luca, Waage Jeff
Department of Public Health, Environment and Society, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Department of Pathobiology and Population Sciences, Royal Veterinary College, London NW1 0TU, UK.
Antibiotics (Basel). 2022 Oct 17;11(10):1424. doi: 10.3390/antibiotics11101424.
Application of human and animal waste to fields and water sources and on-farm antimicrobial usage are documented contributors to the occurrence of antimicrobial resistance (AMR) in agricultural domains. This meta-analysis aimed to determine the prevalence of resistance to tetracycline (TET) and third generation cephalosporins (3GC) in Enterobacteriaceae isolated from food crops. TET was selected in view of its wide use in agriculture, whereas 3GC were selected because of the public health concerns of reported resistance to these critically important antibiotics in the environment. Forty-two studies from all six world regions published between 2010 and 2022 met the eligibility criteria. A random effects model estimated that 4.63% (95% CI: 2.57%, 7.18%; p-value: <0.0001) and 3.75% (95%CI: 2.13%, 5.74%; p-value: <0.0001) of surveyed food crops harboured Enterobacteriaceae resistant to TET and 3GC, respectively. No significant differences were observed between pre- and post-harvest stages of the value chain. 3GC resistance prevalence estimates in food crops were highest for the African region (6.59%; 95% CI: 2.41%, 12.40%; p-value: <0.0001) and lowest for Europe (1.84%; 95% CI: 0.00%, 6.02%; p-value: <0.0001). Considering the rare use of 3GC in agriculture, these results support its inclusion for AMR surveillance in food crops. Integrating food crops into One Health AMR surveillance using harmonized sampling methods could confirm trends highlighted here.
向农田和水源施用人类和动物粪便以及农场中抗菌药物的使用，已被证明是农业领域出现抗菌药物耐药性（AMR）的原因。这项荟萃分析旨在确定从粮食作物中分离出的肠杆菌科细菌对四环素（TET）和第三代头孢菌素（3GC）的耐药率。选择TET是鉴于其在农业中的广泛使用，而选择3GC是因为环境中对这些极其重要的抗生素出现耐药性引发了公众健康担忧。2010年至2022年间发表的来自世界所有六个地区的42项研究符合纳入标准。随机效应模型估计，分别有4.63%（95%置信区间：2.57%，7.18%；p值：<0.0001）和3.75%（95%置信区间：2.13%，5.74%；p值：<0.0001）的被调查粮食作物携带对TET和3GC耐药的肠杆菌科细菌。在价值链的收获前和收获后阶段未观察到显著差异。粮食作物中3GC耐药率估计在非洲地区最高（6.59%；95%置信区间：2.41%，12.40%；p值 <0.0001），在欧洲最低（1.84%；95%置信区间：0.00%，6.02%；p值：<0.0001）。鉴于3GC在农业中使用较少，这些结果支持将其纳入粮食作物AMR监测。采用统一抽样方法将粮食作物纳入“同一健康”AMR监测可以证实此处突出显示的趋势。
