Discharge of pharmaceutical wastewater significantly affects the receiving environments. However, the development of antibiotic resistance and microbial enzymatic degradation in wastewater-receiving soils and rivers remains unclear. This study investigated a sulfonamide-producing factory to explore the distribution of antibiotic resistance genes (ARGs) in the receiving river and soil environments (0-100 cm depth), and the potential hosts of sadABC genes (sulfonamide-degrading genes) as well as their phylogenetic characterization. We identified plentiful ARGs (28 types and 1065 subtypes) and their hosts (30 phyla and 340 MAGs) in three media (surface water, sediment, and soil). Results indicated that the abundances of total resistome in water and sediment of receiving river (0-1.5 km) were higher than the global river resistome median levels. Wastewater significantly affected the soil resistome, leading to an average 5-fold increase in ARG abundance, and a 22-fold enrichment of sulfonamide ARGs. The abundance and diversity of soil resistome decreased significantly with depth, and the abundance was below the global soil resistome median level at the depth greater than 20 cm. The detection of 17 risk rank I ARGs and the enrichment of multidrug-resistant pathogenic bacteria in soil and river highlighted the resistance risks in the environments. Notably, 73 sadABC-carrying contigs were detected, which were mainly hosted by Microbacteriaceae and some other previously unreported bacteria, such as Mycobacteriaceae spp. The findings offer valuable insights into antimicrobial resistance (AMR) risk assessment and the bioremediation of sulfonamides pollution in the environment affected by pharmaceutical wastewater.
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http://dx.doi.org/10.1016/j.watres.2025.123241 | DOI Listing |
Pediatr Infect Dis J
March 2025
Divisions of Pediatric Emergency Medicine and Pediatric Infectious Diseases, Baylor College of Medicine, Houston, Texas.
Background: Infection is a leading cause of death after pediatric heart transplants (PHTs). Understanding of common pathogens is needed to guide testing strategies and empiric antibiotic use.
Methods: We conducted a 3-center retrospective study of PHT recipients ≤18 years old presenting to cardiology clinics or emergency departments (EDs) from 2010 to 2018 for evaluation of suspected infections within 2 years of transplant.
Elife
March 2025
Department of Biology, Indian Institute of Science Education and Research, Pune, India.
Evolution of gene expression frequently drives antibiotic resistance in bacteria. We had previously (Patel and Matange, , 2021) shown that, in , mutations at the locus were beneficial under trimethoprim exposure and led to overexpression of dihydrofolate reductase (DHFR), encoded by the gene. Here, we show that DHFR levels are further enhanced by spontaneous duplication of a genomic segment encompassing and spanning hundreds of kilobases.
View Article and Find Full Text PDFPLoS One
March 2025
Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan.
Gardnerella vaginalis is the most frequently identified bacterium in approximately 95% of bacterial vaginosis (BV) cases. This species often exhibits resistance to multiple antibiotics, posing challenges for treatment. Therefore, there is an urgent need to develop and explore alternative therapeutic strategies for managing bacterial vaginosis.
View Article and Find Full Text PDFACS Appl Mater Interfaces
March 2025
Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Single-bacterium diagnostic methods with unprecedented precision and rapid turnaround times are promising tools for facilitating the transition from empirical treatment to personalized anti-infection treatment. Terahertz (THz) radiation, a cutting-edge technology for identifying pathogens, enables the label-free and non-destructive detection of intermolecular vibrational modes and bacterial dielectric properties. However, this individual dielectric property-based detection and the mismatched spatial resolution are limited for the single-bacterium identification of various species of pathogens.
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