98%
921
2 minutes
20
Antimicrobial resistance (AMR) is a growing threat in healthcare systems, particularly in the management of infections in critically ill patients. This study highlights how to identify clusters and putative sharing of mobile genetic elements, such as transposons, in the hospital setting using long-read whole genome sequencing (lrWGS). The approach described here can be employed to investigate the transmission dynamics of KPC-3-positive at multiple levels, from the entire isolate down to individual plasmids and transposons. Here, a harboring transposon cluster was identified by using a Mash-based distance calculation for plasmids. This approach was used to investigate a local accumulation of KPC-3-positive on surgical and infectious disease wards of a tertiary care center in Germany over a time of six months. In total, seven patients were affected. Core genome multi-locus sequence typing analysis (cgMLST) identified two distinct genetic clusters: a sequence type (ST) 307 cluster (n = 5) and a ST101 cluster (n = 2). All isolates carried a carbapenemase. Further Mash distance-based plasmid analysis was not consistent with plasmid transfer due to genetic heterogeneity, but identified a transposon cluster across all isolates. Infection control evaluation of patient movements within their hospital admission supports a possible clonal transmission. Subsequent infection control measures, including point prevalence screening and enhanced contact precautions, successfully contained further transmissions. The study illustrates the value of in-depth plasmid analysis in understanding the transmission dynamics and epidemiology of AMR, particularly in hospital environments.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948313 | PMC |
http://dx.doi.org/10.3389/fcimb.2025.1542828 | DOI Listing |
BMC Public Health
September 2025
Department of Mathematics, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Gottlieb-Daimler-Str.48, Kaiserslautern, 67663, Germany.
We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19.
View Article and Find Full Text PDFJ Environ Manage
September 2025
College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, 830052, China; Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention, Urumqi, 830052, China. Electronic address:
Drought is one of the most destructive natural disasters globally. Understanding its propagation mechanisms and the causal relationships among different drought types is crucial for effective monitoring and mitigation. Using meteorological (SPI), hydrological (SRI), and agricultural (SSMI) drought indices from 1983 to 2023 in Xinjiang, this study employs the Convergent Cross Mapping (CCM) method to systematically quantify nonlinear causal relationships among the three drought types, revealing their temporal lag characteristics, spatial heterogeneity, and multiscale dynamics.
View Article and Find Full Text PDFAddict Behav
September 2025
Department of Psychology, Korea Military Academy, 574 Hwarang-ro, Nowon-gu, Seoul 01805, Republic of Korea. Electronic address:
Emerging evidence suggests a positive link between parental and child problematic smartphone use (PSU), yet the direction and reciprocity of this relationship over time remain unclear. Here, we address this gap by examining six years (2018-2023) of PSU data from 4,086 parent-child dyads in South Korea, comprising two cohorts: a child cohort (1,984 dyads; mean child age = 11.00, 51.
View Article and Find Full Text PDFEmerg Microbes Infect
September 2025
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, and College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Enveloped viruses rely on matrix proteins for structural integrity and lifecycle progression. Matrix protein 1 (M1) is the most abundant structural protein of influenza A virus (IAV), playing a multifaceted role in viral uncoating, polymerase activity, vRNA transcription and replication, and assembly and budding. The M1 protein not only interacts with host cells but also regulates viral morphogenesis, thereby influencing viral transmissibility and pathogenicity.
View Article and Find Full Text PDFMicrob Genom
September 2025
Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
African swine fever virus (ASFV) is highly transmissible and can cause up to 100% mortality in pigs. The virus has spread across most regions of Asia and Europe, resulting in the deaths of millions of pigs. A deep understanding of the genetic diversity and evolutionary dynamics of ASFV is necessary to effectively manage outbreaks.
View Article and Find Full Text PDF