Public concerns are increasing regarding the prevalence and transmission of antibiotic resistance genes (ARGs) in wastewater treatment plants (WWTPs), especially ARG persistence and dissemination in activated sludge (AS). However, the temporal dynamics of ARGs in the AS of WWTPs over a long period of time and their transfer potential after the treatment process upgrade (e.g., total nitrogen reduction from 20 to 15 mg/L in effluent) remain poorly explored. Here, metagenomic sequencing was performed to quantify the ARGs in AS samples from two WWTPs with different treatment processes over a 2-year period. A total of 368 and 426 ARG subtypes affiliated with 20 ARG types were identified separately in the two WWTPs and the similar core ARGs were shared by all 54 samples. There were significant differences in ARG composition in different treatment processes, yet the abundance and diversity of ARGs in the AS samples demonstrated no distinct seasonal patterns. Notably, after the treatment process upgrade, the relative abundance of sulfonamide, beta-lactam, and aminoglycoside resistance genes was reduced by more than 10%, and the transfer potential of ARGs in bacterial pathogens decreased greatly, which suggested that an upgrade could limit the prevalence and transmission of ARGs. Variation partitioning analysis showed that metal resistance genes rather than bacterial community represented the significantly influential factor in shaping ARGs, and some key genera correlated with ARGs were identified through network analysis. These results will deepen our understanding of the dynamic changes in ARG profiles in AS systems and guide wastewater treatment plant upgrades. KEY POINTS: • The potential transfer of ARGs decreased after the treatment process upgrade • Metal resistance genes were the most influential factor in shaping ARG composition • Co-occurrence networks displayed potential hosts of beta-lactam resistance genes.
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http://dx.doi.org/10.1007/s00253-022-12162-z | DOI Listing |
Orthop Surg
January 2025
Department of Orthopedics, Tianjin Medical University General Hospital, International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin, China.
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February 2025
CSIR Institute of Genomics & Integrative Biology, Sukhdev Vihar, New Delhi, 110025 India.
Unlabelled: Insulin resistance is major factor in the development of metabolic syndrome and type 2 diabetes (T2D). We extracted 430 genes from literature associated with both insulin resistance and inflammation. The highly significant pathways were Toll-like receptor signaling, PI3K-Akt signaling, cytokine-cytokine receptor interaction, pathways in cancer, TNF signaling, and NF-kappa B signaling.
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June 2025
Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
The biofilm formation of , a major human fungal pathogen, represents a crucial virulence factor during candidiasis. Eicosapentaenoic acid (EPA), a polyunsaturated fatty acid, has emerged as a potential antibiofilm agent against . .
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January 2025
Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Alport syndrome (AS) is a genetically heterogeneous disorder resulting from variants in genes coding for the alpha-3/4/5 chains of Collagen IV, leading to defective basement membranes in the kidney, cochlea, and eye. The clinical manifestations of AS vary in patients. Cases of childhood AS caused by presenting primarily with nephrotic syndrome (NS) are rarely reported.
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January 2025
National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chennai, India.
Pyrazinamide (PZA) is a key first-line antituberculosis drug that plays an important role in eradicating persister (TB) bacilli and shortening the duration of tuberculosis treatment. However, PZA-resistance is on the rise, particularly among persons with multidrug-resistant (MDR) tuberculosis. This nationwide study was conducted to explore the prevalence of mutations conferring PZA resistance, catalogue mutation diversity, investigate the associations of PZA resistance with specific lineages, examine co-resistance to 13 first- and second-line drugs, and evaluate the diagnostic accuracy of sequencing A and D genes for predicting PZA resistance.
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