The mixed development of livestock breeding and industry in non-urban zones is a very general phenomenon in China. Distribution of antibiotic resistance genes (ARGs) in non-urban sewage treatment systems has not been paid enough attentions. In this study, eleven tetracycline resistance genes (tetA, tetB, tetC, tetE, tetG, tetL, tetM, tetO, tetQ, tetS and tetX), four AmpC β-lactamase genes (EBC, MOX, FOX and CIT) and four heavy metals (Cu, Zn, Cd and Pb) were detected and analyzed in four non-urban sewage plants with different sewage sources and different treatment processes in Guangzhou. The results showed that tetA and tetC were the most prevalent tetracycline resistance genes with the same detection frequency of 85% and EBC was the most prevalent AmpC β-lactamase gene with a detection frequency of 75%. The relative abundance of tetracycline resistance genes was approximately 1.6 orders of magnitudes higher than that of AmpC β-lactamase genes in all samples. A/O was the most effective process for the non-urban sewage plant receiving industrial or agricultural wastewater. Sedimentation was the most key process to eliminate ARGs from liquid phase. Most ARGs were carried in excess sludge rather than effluent. Significant correlation was found between the tet gene and Zn (r = 0.881, p < 0.01), followed by the AmpC gene and Cu (r = 0.847, p < 0.01), the tet gene and Cu (r = 0.714, p < 0.05). Therefore, the pollution of ARGs in the sewage treatment systems of non-urban zones co-polluted by heavy metals should be paid more attentions.
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http://dx.doi.org/10.1016/j.chemosphere.2016.12.027 | DOI Listing |
Microbiome
January 2025
Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
Background: The widespread selective pressure of antibiotics in the environment has led to the propagation of antibiotic resistance genes (ARGs). However, the mechanisms by which microbes balance population growth with the enrichment of ARGs remain poorly understood. To address this, we employed microcosm cultivation at different antibiotic (i.
View Article and Find Full Text PDFJ Transl Med
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, No.651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Background: HER2-targeted antibody-drug conjugates (ADCs) have revolutionized the treatment landscape of metastatic breast cancer. However, the efficacy of these therapies may be compromised by genomic alterations. Hence, this study aims to identify factors predicting sensitivity to HER2 ADC in metastatic breast cancer.
View Article and Find Full Text PDFBMC Microbiol
January 2025
Center of Infectious Diseases, West China Hospital, Sichuan University, Guoxuexiang 37, Chengdu, 610041, China.
Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a severe threat for human health and urgently needs new therapeutic approaches. Lytic bacteriophages (phages) are promising clinically viable therapeutic options against CRKP. We attempted to isolate lytic phages against CRKP of sequence type 11 and capsular type 64 (ST11-KL64), the predominant type in China.
View Article and Find Full Text PDFAnn Clin Microbiol Antimicrob
January 2025
Department of Microbiology, Medical College, Yangzhou University, Yangzhou, 225001, China.
Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) is recognized as a common clinical conditional pathogen with bla gene-mediated multidrug-resistance that is a significant threat to public health safety. Timely and effective infection control measures are needed to prevent their spread.
Methods: We conducted a retrospective study of CRAB patients at three teaching hospitals from 2019 to 2022.
BMC Bioinformatics
January 2025
Solu Healthcare Oy, Kalevankatu 31 A 13, 00100, Helsinki, Finland.
Background: Genomic surveillance is extensively used for tracking public health outbreaks and healthcare-associated pathogens. Despite advancements in bioinformatics pipelines, there are still significant challenges in terms of infrastructure, expertise, and security when it comes to continuous surveillance. The existing pipelines often require the user to set up and manage their own infrastructure and are not designed for continuous surveillance that demands integration of new and regularly generated sequencing data with previous analyses.
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