State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Sci Total Environ. 2022 Jul 15;830:154775. doi: 10.1016/j.scitotenv.2022.154775. Epub 2022 Mar 24.
Antibiotics play a role in preventing and treating infectious diseases and also contribute to other health risks for humans. With the overuse of antibiotics, they are widely distributed in the environment. Long-term exposure to multiple antibiotics may occur in humans through medication and dietary intake. Therefore, it is critical to estimate daily intake and health risk of antibiotics based on urinary biomonitoring. This review compares the strengths and weaknesses of current analytical methods to determine antibiotics in urine samples, discusses the urinary concentration profiles and hazard quotients of individual antibiotics, and overviews correlations of antibiotic exposure with the risk of diseases. Liquid chromatography-tandem mass spectrometry is most applied to simultaneously determine multiple types of antibiotics at trace levels. Solid-phase extraction with a hydrophilic-lipophilic balance adsorbent is commonly used to extract antibiotics in urine samples. Fifteen major antibiotics with relatively higher detection frequencies and concentrations include sulfaclozine, trimethoprim, erythromycin, azithromycin, penicillin V, amoxicillin, oxytetracycline, chlortetracycline, tetracycline, doxycycline, ofloxacin, enrofloxacin, ciprofloxacin, norfloxacin, and florfenicol. Humans can be easily at microbiological effect-based risk induced by florfenicol, ciprofloxacin, azithromycin, and amoxicillin. Positive associations were observed between specific antibiotic exposure and obesity, allergic diseases, and mental disorders. Overall, the accessible, automated, and environmentally friendly methods are prospected for simultaneous determinations of antibiotics at trace level in urine. To estimate human exposure to antibiotics more accurately, knowledge gaps need to be filled up, including the transformation between parent and metabolic antibiotics, urinary excretion proportions of antibiotics at low-dose exposure and pharmacokinetic data of antibiotics in humans, and the repeated sampling over a long period in future research is needed. Longitudinal studies about antibiotic exposure and the risk of diseases in different developmental windows as well as in-depth research on the pathogenic mechanism of long-term, low-dose, and joint antibiotic exposure are warranted.
抗生素在预防和治疗传染病方面发挥作用,但也对人类健康造成其他风险。随着抗生素的过度使用,它们广泛分布在环境中。人类通过药物和饮食摄入,长期暴露于多种抗生素中。因此,基于尿液生物监测估计抗生素的日摄入量和健康风险至关重要。本文综述了目前尿液中抗生素分析方法的优缺点,讨论了个体抗生素的尿液浓度谱和危害系数,并综述了抗生素暴露与疾病风险的相关性。液相色谱-串联质谱法最适用于痕量水平同时测定多种类型的抗生素。亲水-疏水平衡吸附剂固相萃取常用于提取尿液中的抗生素。检测频率和浓度相对较高的 15 种主要抗生素包括磺胺氯哒嗪、甲氧苄啶、红霉素、阿奇霉素、青霉素 V、阿莫西林、土霉素、金霉素、四环素、强力霉素、氧氟沙星、恩诺沙星、环丙沙星、诺氟沙星和氟苯尼考。人类很容易因氟苯尼考、环丙沙星、阿奇霉素和阿莫西林而受到微生物效应的影响。特定抗生素暴露与肥胖、过敏和精神障碍之间存在正相关关系。总体而言,未来的研究需要开发更自动化、环境友好的方法,用于同时测定尿液中的痕量抗生素。为了更准确地估计人类接触抗生素的情况,需要填补知识空白,包括母体抗生素和代谢抗生素之间的转化、低剂量暴露时抗生素的尿排泄比例和抗生素在人体内的药代动力学数据,以及未来研究中需要长时间内重复采样。在不同的发育窗口中,需要进行抗生素暴露与疾病风险的纵向研究,以及对长期、低剂量和联合抗生素暴露的致病机制进行深入研究。