Deciphering antibiotic resistance genes and plasmids in pathogenic bacteria from 166 hospital effluents in Shanghai, China DOI Creative Commons
Mingliang Chen, Zhaoyu Li, Yibin Zhou

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 483, P. 136641 - 136641

Published: Nov. 26, 2024

Language: Английский

Supercritical water gasification for hospital wastewater DOI Creative Commons
Rich Jhon Paul Latiza, Rugi Vicente C. Rubi, Armando T. Quitain

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100651 - 100651

Published: Feb. 1, 2025

Language: Английский

Citations

1

Molecular Epidemiology of Pseudomonas aeruginosa in Brazil: A Systematic Review and Meta-Analysis DOI Creative Commons
Yan Corrêa Rodrigues, Marcos Jessé Abrahão Silva, Herald Souza dos Reis

et al.

Antibiotics, Journal Year: 2024, Volume and Issue: 13(10), P. 983 - 983

Published: Oct. 17, 2024

Background: Globally, Pseudomonas aeruginosa is a high-priority opportunistic pathogen which displays several intrinsic and acquired antimicrobial resistance (AMR) mechanisms, leading to challenging treatments mortality of patients. Moreover, its wide virulence arsenal, particularly the type III secretion system (T3SS) exoU+ virulotype, plays crucial role in pathogenicity poor outcome infections. In depth insights into molecular epidemiology P. aeruginosa, especially prevalence high-risk clones (HRCs), are for comprehension AMR features their dissemination among distinct strains. This study aims evaluate distribution HRCs non-HRCs Brazilian isolates aeruginosa. Methods: A systematic review meta-analysis were conducted on studies published between 2011 2023, focusing determined by multilocus sequence typing (MLST) Brazil. Data extracted from retrospective cross-sectional case-control studies, encompassing clinical non-clinical samples. The analysis included calculating rates various types (STs) assessing regional variability non-HRCs. Results: total 872 samples analyzed within all 298 (34.17%) MLST typed, identifying 78 unique STs. accounted 48.90% MLST-typed isolates, with ST277 being most prevalent (100/298—33.55%), followed ST244 (29/298—9.73%), ST235 (13/298—4.36%), ST111 (2/298—0.67%), ST357 (2/298—0.67%). Significant was observed, Southeast region showing high ST277, while North shows HRCs. Conclusions: Finally, this highlight critical issue Brazil need integration comprehensive data individual studies.

Language: Английский

Citations

2

Deciphering antibiotic resistance genes and plasmids in pathogenic bacteria from 166 hospital effluents in Shanghai, China DOI Creative Commons
Mingliang Chen, Zhaoyu Li, Yibin Zhou

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 483, P. 136641 - 136641

Published: Nov. 26, 2024

Language: Английский

Citations

1