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Zeng S, He Y, Li X, Li Y, Tian H, Yin R, Zhang Q, Yu D. The livestock and poultry farming impact on antibiotic pollution in China and the potential of nitrogen-doped biochar for remediation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025; 383:125462. [PMID: 40262500 DOI: 10.1016/j.jenvman.2025.125462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 03/29/2025] [Accepted: 04/04/2025] [Indexed: 04/24/2025]
Abstract
As one of the largest global producers and consumers of antibiotics, China's annual antibiotic production reached 223,000 tons in 2022 and continues to rise. The extensive use of antibiotics has led to severe antibiotic residues and environmental pollution, with 52 % of antibiotic residues in the environment originating from the livestock and poultry farming industry. Biochar has been widely applied in the removal of antibiotics, including active biochar, modified biochar, and heteroatom-doped biochar. Among these, nitrogen-doped biochar shows promising application prospects in antibiotic removal due to its well-developed pore structure and excellent catalytic performance. Nitrogen-rich biomass can be directly pyrolyzed to produce self-doped biochar without external nitrogen sources, and selecting suitable raw materials is key to the widespread application of nitrogen-doped biochar in removing antibiotics from natural environments. This review examines the impact of livestock and poultry farming wastewater on antibiotic pollution in China, explores the current status of using different types of biochar for antibiotic removal, summarizes the nitrogen content in nitrogen-doped biochar and its application prospects in antibiotic pollution control, and provides references for the selection of raw materials in the preparation of self-doped nitrogen biochar. This study offers valuable insights for the application of nitrogen-doped biochar in antibiotic pollution removal in China.
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Affiliation(s)
- Siqi Zeng
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China
| | - Yu He
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China
| | - Xiuqing Li
- Shandong Province Research Institute of Coal Geology Planning and Exploration, Jinan, 250104, China
| | - Yuan Li
- Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| | - Hailong Tian
- National and Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, College of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China
| | - Renpeng Yin
- State Grid Integrated Energy Planning and D&R Institute, Beijing, 100161, China
| | - Qinghuan Zhang
- Materials Energy Conservation Center, Beijing, 100037, China
| | - Dayang Yu
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China.
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Men C, Jiang H, Ma Y, Cai H, Fu H, Li Z. A nationwide probabilistic risk assessment and a new insight into source-specific risk apportionment of antibiotics in eight typical river basins in China: Human health risk and ecological risk. JOURNAL OF HAZARDOUS MATERIALS 2025; 484:136674. [PMID: 39642732 DOI: 10.1016/j.jhazmat.2024.136674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 11/05/2024] [Accepted: 11/25/2024] [Indexed: 12/09/2024]
Abstract
China is the largest producer and consumer of antibiotics, a nationwide study on the contamination of antibiotics in China is urgently needed, and source apportionment towards risks associated with antibiotics is now attracting increasing attention. In this study, based on eight antibiotics at 666 sampling sites, spatial variations and probabilistic risks (human health and ecological risk) of antibiotics in eight river basins in China were analyzed. Source-specific health and ecological risk associated with antibiotics in a typical basin was apportioned quantitatively. Results showed that mean antibiotic concentration in Haihe River Basin (HaiRB) and Yellow River Basin (178.25 and 257.36 ng·L-1, respectively) was higher than other basins. In HaiRB, the contribution of livestock and poultry breeding (31.89 %) was the largest of all sources for health risk, whereas pharmaceutical wastewater (35.97 %) was the most dominant source for ecological risk. To determine the most important source for risks associated with antibiotics, the concept of risks-targeted key source was proposed, and a risks-targeted key source apportionment model was developed. Results showed that pharmaceutical wastewater should be prior controlled among all sources. The concept and apportionment model of risks-targeted key source proposed in this study are applicable and referential for related studies.
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Affiliation(s)
- Cong Men
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Haoquan Jiang
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Yuting Ma
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Hengjiang Cai
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Han Fu
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China
| | - Zifu Li
- School of Energy and Environmental Engineering, Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing 100083, China.
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Pang L, He K, Zhang Y, Li P, Lin Y, Yue J. Predicting environmental risks of pharmaceutical residues by wastewater surveillance: An analysis based on pharmaceutical sales and their excretion data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170204. [PMID: 38262535 DOI: 10.1016/j.scitotenv.2024.170204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/23/2023] [Accepted: 01/14/2024] [Indexed: 01/25/2024]
Abstract
Pharmaceutical residues are increasingly becoming a significant source of environmental water pollution and ecological risk. This study, leveraging official national pharmaceutical sales statistics, predicts the environmental concentrations of 33 typical pharmaceuticals in the Tianjin area. The results show that 52 % of the drugs have a PEC/MEC (Predicted Environmental Concentration/Measured Environmental Concentration) ratio within the acceptable range of 0.5-2, including atenolol (1.21), carbamazepine (1.22), and sulfamethoxazole (0.91). Among the selected drugs, tetracycline, ciprofloxacin, and acetaminophen had the highest predicted concentrations. The EPI (Estimation Programs Interface) biodegradation model, a tool from the US Environmental Protection Agency, is used to predict the removal efficiency of compounds in wastewater treatment plants. The results indicate that the EPI predictions are acceptable for macrolide antibiotics and β-blockers, with removal rates of roxithromycin, spiramycin, acetaminophen, and carbamazepine being 14.1 %, 61.2 %, 75.1 %, and 44.5 %, respectively. However, the model proved to be less effective for fluoroquinolone antibiotics. The ECOSAR (Ecological Structure-Activity Relationships) model was used to supplement the assessment of the potential impacts of drugs on aquatic ecosystems, further refining the analysis of pharmaceutical environmental risks. By combining the concentration and detection frequency of pharmaceutical wastewater, this study identified 9 drugs with significant toxicological risks and marked another 24 drugs as substances of potential concern. Additionally, this study provides data support for addressing pharmaceutical residues of priority concern in subsequent research.
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Affiliation(s)
- Lihao Pang
- College of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Kai He
- College of Civil Engineering, Sun Yat-Sen University, Guangzhou 51000, China.
| | - Yuxuan Zhang
- College of Civil Engineering, Sun Yat-Sen University, Guangzhou 51000, China
| | - Penghui Li
- College of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Yingchao Lin
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
| | - Junjie Yue
- College of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China.
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Ma Y, Wu N, Zhang T, Li Y, Cao L, Zhang P, Zhang Z, Zhu T, Zhang C. The microbiome, resistome, and their co-evolution in sewage at a hospital for infectious diseases in Shanghai, China. Microbiol Spectr 2024; 12:e0390023. [PMID: 38132570 PMCID: PMC10846037 DOI: 10.1128/spectrum.03900-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023] Open
Abstract
The emergence of antibiotic-resistant bacteria (ARB) caused by the overuse of antibiotics severely threatens human health. Hospital sewage may be a key transmission hub for ARB. However, the complex link between the microbiome and resistomeresistance in hospital sewage remains unclear. In this study, metagenomic assembly and binning methods were used to investigate the microbial community, resistome, and association of antibiotic resistance genes (ARGs) with ARB in sewage from 10 representative sites (outpatient building, surgery building, internal medicine buildings [IMB1-4], staff dormitory, laboratory animal building, tuberculosis building [TBB], and hospital wastewater treatment plant) of a hospital in Shanghai from June 2021 to February 2022. A total of 252 ARG subtypes, belonging to 17 antibiotic classes, were identified. The relative abundance of KPC-2 was higher at IMBs and TBB than at other sites. Of the ARG-carrying contigs, 47.3%-62.6% were associated with mobile genetic elements, and the proportion of plasmid-associated ARGs was significantly higher than that of chromosome-associated ARGs. Although a similar microbiome composition was shared, certain bacteria were enriched at different sites. Potential pathogens Enterococcus B faecium and Klebsiella pneumoniae were primarily enriched in IMB2 and IMB4, respectively. The same ARGs were identified in diverse bacterial hosts (especially pathogenic bacteria), and accordingly, the latter possessed multiple ARGs. Furthermore, gene flow was frequently observed in the sewage of different buildings. The results provide crucial information on the characterization profiles of resistomes in hospital sewage in Shanghai.IMPORTANCEEnvironmental antibiotic resistance genes (ARGs) play a critical role in the emergence and spread of antimicrobial resistance, which poses a global health threat. Wastewater from healthcare facilities serves as a significant reservoir for ARGs. Here, we characterized the microbial community along with the resistome (comprising all antibiotic resistance genes) in wastewater from a specialized hospital for infectious diseases in Shanghai. Potential pathogenic bacteria (e.g., Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Enterococcus B faecium) were frequently detected in hospital wastewater and carried multiple ARGs. A complex link between microbiome and resistome was observed in the wastewater of this hospital. The monitoring of ARGs and antibiotic-resistant bacteria (ARB) in hospital wastewater might be of great significance for preventing the spread of ARB.
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Affiliation(s)
- Yingying Ma
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Nannan Wu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Tao Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China
| | - Yanpeng Li
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Le Cao
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Peng Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Zhigang Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China
| | - Tongyu Zhu
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chiyu Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Gu L, Yu S, Kong L, Wang Q, Wang S, Geng M, Chen G, Zhang D, Cao H, Tao F, Liu K. Urinary antibiotic exposure and low grip strength risk in community-dwelling elderly Chinese by gender and age. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:3865-3889. [PMID: 36595097 DOI: 10.1007/s10653-022-01467-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 12/20/2022] [Indexed: 06/01/2023]
Abstract
Emerging studies have shown that environmental contaminants were related to decreased handgrip strength. Nevertheless, no prior research has investigated the relationship of exposure to environmental antibiotics with grip strength. Thus, we explored the relationship between urinary antibiotic burden and grip strength among the elderly in China. This study consisted of 451 men and 539 women from the baseline survey of a cohort study. Commonly used antibiotics for humans and animals were detected in 990 urine samples through a biomonitoring method. Grip strength was measured by an electronic dynamometer. We examined the associations of antibiotic exposure with low grip strength (LGS), grip strength, and grip strength index, respectively. Results suggested that 34.9% of participants developed LGS, and 93.0% of individuals were exposed to 1-10 antibiotics. Among women, oxytetracycline (Quartile 2: odds ratio: 2.97, 95% confidence interval: 1.36-6.50), florfenicol (Quartile 3: 2.60 [1.28-5.27]), fluoroquinolones (Quartile 4: 1.88 [1.07-3.30]), and chloramphenicols (Quartile 3: 2.73 [1.35-5.51]) could enhance LGS risk. Among men, ofloxacin (Quartile 2: 3.32 [1.45-7.59]) increased LGS risk, whereas tetracycline (Quartile 2: 0.31 [0.11-0.88]) was implicated in reduced LGS risk. In participants < 70 years, ofloxacin (Quartile 2: 3.00 [1.40-6.42]) could increase LGS risk. For participants who were 70 years of age or older, veterinary antibiotics (Quartile 3: 1.73 [1.02-2.94]) were linked to a 73% increased risk of LGS. Our findings suggested that antibiotics mainly pertained to LGS, and there were gender and age disparities in associations between antibiotic exposure and muscle strength indicators in the elderly Chinese population.
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Affiliation(s)
- Lvfen Gu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Shuixin Yu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Li Kong
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qunan Wang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Sufang Wang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Menglong Geng
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Guimei Chen
- School of Health Management, Anhui Medical University, Hefei, 230032, China
| | - Dongmei Zhang
- School of Health Management, Anhui Medical University, Hefei, 230032, China
| | - Hongjuan Cao
- Lu'an Center of Disease Control and Prevention, Lu'an, 237000, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Institute of Translational Medicine, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
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Zhang W, Wang J, Zhu L, Wang J, Mao S, Yan X, Wen S, Wang L, Dong Z, Kim YM. New insights into the effects of antibiotics and copper on microbial community diversity and carbon source utilization. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023:10.1007/s10653-023-01491-1. [PMID: 36939996 DOI: 10.1007/s10653-023-01491-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 01/15/2023] [Indexed: 06/18/2023]
Abstract
Residual antibiotics (ABs) and heavy metals (HMs) are continuously released from soil, reflecting their intensive use and contamination of water and soil, posing an environmental problem of great concern. Relatively few studies exist of the functional diversity of soil microorganisms under the combined action of ABs and HMs. To address this deficiency, BIOLOG ECO microplates and the Integrated Biological Responses version 2 (IBRv2) method were used to comprehensively explore the effects of single and combined actions of copper (Cu) and enrofloxacin (ENR), oxytetracycline (OTC), and sulfadimidine (SM2) on the soil microbial community. The results showed that the high concentration (0.80 mmol/kg) compound group had a significant effect on average well color development (AWCD) and OTC showed a dose-response relationship. The results of IBRv2 analysis showed that the single treatment group of ENR or SM2 had a significant effect on soil microbial communities, and the IBRv2 of E1 was 5.432. Microbes under ENR, SM2, and Cu stress had more types of available carbon sources, and all treatment groups were significantly more enriched with microorganisms having D-mannitol and L-asparagine as carbon sources. This study confirms that the combined effects of ABs and HMs can inhibit or promote the function of soil microbial communities. In addition, this paper will provide new insights into IBRv2 as an effective method to evaluate the impacts of contaminants on soil health.
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Affiliation(s)
- Wenjie Zhang
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Jinhua Wang
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China.
| | - Lusheng Zhu
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Jun Wang
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Shushuai Mao
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Xiaojing Yan
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Shengfang Wen
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Lanjun Wang
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Zikun Dong
- Key Laboratory of Agricultural Environment in Universities of Shandong, College of Resources and Environment, Shandong Agricultural University, 61 Daizong Road, Taian, 271018, People's Republic of China
| | - Young Mo Kim
- Department of Civil and Environmental Engineering, Hanyang University, Seongdong-Gu, Seoul, 04763, Republic of Korea
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Wang W, Weng Y, Luo T, Wang Q, Yang G, Jin Y. Antimicrobial and the Resistances in the Environment: Ecological and Health Risks, Influencing Factors, and Mitigation Strategies. TOXICS 2023; 11:185. [PMID: 36851059 PMCID: PMC9965714 DOI: 10.3390/toxics11020185] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/10/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Antimicrobial contamination and antimicrobial resistance have become global environmental and health problems. A large number of antimicrobials are used in medical and animal husbandry, leading to the continuous release of residual antimicrobials into the environment. It not only causes ecological harm, but also promotes the occurrence and spread of antimicrobial resistance. The role of environmental factors in antimicrobial contamination and the spread of antimicrobial resistance is often overlooked. There are a large number of antimicrobial-resistant bacteria and antimicrobial resistance genes in human beings, which increases the likelihood that pathogenic bacteria acquire resistance, and also adds opportunities for human contact with antimicrobial-resistant pathogens. In this paper, we review the fate of antimicrobials and antimicrobial resistance in the environment, including the occurrence, spread, and impact on ecological and human health. More importantly, this review emphasizes a number of environmental factors that can exacerbate antimicrobial contamination and the spread of antimicrobial resistance. In the future, the timely removal of antimicrobials and antimicrobial resistance genes in the environment will be more effective in alleviating antimicrobial contamination and antimicrobial resistance.
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Affiliation(s)
- Weitao Wang
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310032, China
| | - You Weng
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310032, China
| | - Ting Luo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Laboratory (Hangzhou) for Risk Assessment of Agricultural Products of Ministry of Agriculture, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Qiang Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Laboratory (Hangzhou) for Risk Assessment of Agricultural Products of Ministry of Agriculture, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Guiling Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Laboratory (Hangzhou) for Risk Assessment of Agricultural Products of Ministry of Agriculture, Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yuanxiang Jin
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310032, China
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8
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Li H, Qiu L, Chen B, Wang H, Liu H, Long Y, Hu L, Fang C. Vertical distribution of antibiotics and antibiotic resistance genes in a representative municipal solid waste landfill, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113919. [PMID: 35901592 DOI: 10.1016/j.ecoenv.2022.113919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/22/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
The vertical distribution of sulfonamides (SAs), tetracyclines (TCs), macrolides (MLs), and their related antibiotic resistance genes (ARGs) were comprehensively investigated and characterized in a representative municipal solid waste (MSW) landfill in China. The total concentrations of target antibiotics in the MSW landfill were SAs > TCs > MLs. The abundances of mexF (10.78 ± 0.65 log10copies/g) and sul genes (9.15 ± 0.54 log10copies/g) were relatively high, while the tet genes (7.19 ± 0.77 log10copies/g) were the lowest. Both the abundance of antibiotics and genes fluctuated with landfill depth, and the ARGs of the same antibiotics were consistent with depth change. Intl1 and sul genes (sul1, sul2) were tightly connected, and a close relationship also existed between tet genes (tetM, tetQ) and MLs resistance genes (ermB, mefA). High-throughput sequencing showed the dominant genera were Sporosarcina (38%) and Thiobacillus (17%) at sampling points A and C, while the microbial community varied with depth increase at point B were Brevundimonas (20%), Sporosarcina (20%), Pseudomonas (24%), Lysobacter (28%), and Thioalkalimicrobium (14%), respectively. Network analysis further visualized the relationship among antibiotics, genes, and microbial communities and the results indicated the non-random connection among them and the possible host of the target gene. Even at 12.0 m below the landfill surface, the pollution of antibiotics resistance was still serious, which posed difficulties for subsequent landfill remediation and pollution control.
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Affiliation(s)
- Hong Li
- College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
| | - Libo Qiu
- College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
| | - Binhui Chen
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, Zhejiang University of Science and Technology, Hangzhou 310023, China
| | - Hua Wang
- Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, Zhejiang University of Science and Technology, Hangzhou 310023, China
| | - Hongyuan Liu
- College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
| | - Yuyang Long
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, China
| | - Lifang Hu
- College of Quality and Safety Engineering, Institution of Industrial Carbon Metrology, China Jiliang University, Hangzhou 310018, China
| | - Chengran Fang
- College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Key Laboratory of Recycling and Eco-treatment of Waste Biomass of Zhejiang Province, Zhejiang University of Science and Technology, Hangzhou 310023, China.
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Hu Y, Li J, Yuan T, Yu T, Chen Y, Kong H, Lin C, Shen Z, Tian Y, Tong S, Yu X, Liu S. Exposure to antibiotics and precocious puberty in children: A school-based cross-sectional study in China. ENVIRONMENTAL RESEARCH 2022; 212:113365. [PMID: 35490828 DOI: 10.1016/j.envres.2022.113365] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 04/11/2022] [Accepted: 04/21/2022] [Indexed: 05/26/2023]
Abstract
Foods and water can be contaminated with antibiotics in China, which may affect children's health, but evidence on antibiotic exposure with precocious puberty (PP) is limited. This study explored the association of antibiotic exposure with PP in a school-based setting. A cross-sectional study with multistage stratified cluster random sampling was conducted in Zhongshan City, Guangdong Province and Qufu City, Shandong Province in China from October 11 to December 5, 2019. A first-morning urine sample was collected to detect antibiotic exposure. We detected 33 of 45 types of antibiotics from eight categories in 928 primary school children aged 6-12 years using HPLS-MS/MS. Detection rate of antibiotics was stratified by sex, study site, and BMI. The Tanner stages were assessed by professional pediatricians from local hospitals. PP is defined as the onset of secondary characters before 8-year-old or menarche before 10-year-old for girls and before 9-year-old for boys. Multivariable logistic regression was performed to examine the association between antibiotic exposure and PP after adjusting potential confounders. The overall detection rate of antibiotics was 93.0% in 928 children. We found the detection rate of tetracyclines and fluoroquinolones in children with PP was significantly higher than that of children with normal puberty (41.4% vs 29.9%, 56.8% vs 50.6%, respectively, all p < 0.05). Both fluoroquinolones (odds ratio (OR): 1.835, 95% confidence interval (CI): 1.066-3.158) and tetracyclines (OR: 2.120, 95% CI: 1.175-3.825) were associated with increased OR of PP after adjusting sex, age, BMI, study site, and family income. Specifically, compared to the values less than the limits of detection, low concentration of ofloxacin from fluoroquinolones (OR: 2.056, 95% CI: 1.091-3.875) and high concentration of chlortetracycline (OR: 3.027, 95% CI: 1.126-8.140) and tetracycline from tetracyclines (OR: 2.756, 95% CI: 1.167-6.506) were associated with increased OR of PP. Exposure to antibiotics, especially fluoroquinolones and tetracyclines was positively associated with precocious puberty.
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Affiliation(s)
- Yabin Hu
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Juan Li
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Yuan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Tingting Yu
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; School of Public Health, Shanghai Jiao Tong University, Shanghai, China
| | - Yao Chen
- Department of Endocrinology, Genetics and Metabolism, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Huijun Kong
- Department of Pediatrics, People's Hospital of Qu Fu, Shandong, China
| | - Cuilan Lin
- Department of Developmental and Behavioral Pediatrics, Bo Ai Hospital of Zhongshan City, The Second School of Clinical Medicine, Southern Medical University, Guangdong, China
| | - Zhemin Shen
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Lab of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Xiaodan Yu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; MOE-Shanghai Key Lab of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Shijian Liu
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; School of Public Health, Shanghai Jiao Tong University, Shanghai, China.
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Zhang J, Liu K, Sun L, Yang L, Liu X, Zhu Y, Wei R, Jin Z, Wang L, Ma Y, Wang S, Liu A, Tao F. Exposure to antibiotics and mental disorders in children: a community-based cross-sectional study. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:3237-3253. [PMID: 33547614 DOI: 10.1007/s10653-021-00840-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 01/23/2021] [Indexed: 06/12/2023]
Abstract
Although exposure to antibiotics at a critical developmental time window has been implicated in mental health in observational and experimental studies, very limited bio-monitoring data are available for exposure to antibiotics associated with child mental disorders. The goal of our study was to examine the association between urinary exposure of children to antibiotics and mental health. The participants were 278 children from 256 eligible families in the urban-rural fringe of Fuyang city in China since June in 2017. A single-point urine sample was collected to measure the antibiotic concentrations to characterize the exposure levels. A total of 45 antibiotics from nine classes and their two metabolites were monitored through liquid chromatography electrospray tandem mass spectrometry. We used multivariable regressions to estimate the covariate-adjusted associations between urine-antibiotic concentrations and mental impairments, as assessed using the parent version of Strengths and Difficulties Questionnaire. Among the participants, ciprofloxacin was associated with an increased risk of mental disorders at both lower concentrations (OR = 4.06; 95% CI 1.69-9.78) and higher concentrations OR = 6.04; 95% CI 2.59-14.08). After categorizing the detected antibiotics, the positive associations were observed between abnormal score in total difficulties and higher levels exposure to fluoroquinolones (OR = 2.83, 95% CI 1.38-5.80) and antibiotics preferred for veterinary use (PVAs) (OR = 3.20; 95% CI 1.41-7.27), respectively. Our findings suggest that ciprofloxacin, fluoroquinolones and PVAs, probably from contaminated food or environment, may be associated with child mental disorders.
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Affiliation(s)
- Jingjing Zhang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Anhui, 230032, China
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Anhui, 230032, China.
| | - Liang Sun
- Fuyang Center of Disease Control and Prevention, Fuyang, 236000, Anhui, China
| | - Linsheng Yang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xinji Liu
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yitian Zhu
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Rong Wei
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zhongxiu Jin
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Li Wang
- School of Health Management, Anhui Medical University, Hefei, 230032, China
| | - Ying Ma
- School of Health Management, Anhui Medical University, Hefei, 230032, China
| | - Sufang Wang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Annuo Liu
- School of Nursing, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Anhui, 230032, China
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