It is generally accepted that intervention strategies to curb antibiotic resistance cannot solely focus on human and veterinary medicine but must also consider environmental settings. While the environment clearly has a role in transmission of resistant bacteria, its role in the emergence of novel antibiotic resistance genes (ARGs) is less clear. It has been suggested that the environment constitutes an enormous recruitment ground for ARGs to pathogens, but its extent is practically unknown. We have constructed a model framework for resistance emergence and used available quantitative data on relevant processes to identify limiting steps in the appearance of ARGs in human pathogens. We found that in a majority of possible scenarios, the environment would only play a minor role in the emergence of novel ARGs. However, the uncertainty is enormous, highlighting an urgent need for more quantitative data. Specifically, more data is most needed on the fitness costs of ARG carriage, the degree of dispersal of resistant bacteria from the environment to humans, and the rates of mobilization and horizontal transfer of ARGs. This type of data is instrumental to determine which processes should be targeted for interventions to curb development and transmission of ARGs in the environment.
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http://dx.doi.org/10.1021/acs.est.1c02977 | DOI Listing |
J Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFNat Mater
January 2025
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
Machine learning algorithms have proven to be effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of a chiral edge state and a topological surface state.
View Article and Find Full Text PDFSci Rep
January 2025
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, #04-06 Immunos, Singapore, 138648, Singapore.
The tumor suppressor LKB1/STK11 plays important roles in regulating cellular metabolism and stress responses and its mutations are associated with various cancers. We recently identified a novel exon 1b within intron 1 of human LKB1/STK11, which generates an alternatively spliced, mitochondria-targeting LKB1 isoform important for regulating mitochondrial oxidative stress. Here we examined the formation of this novel exon 1b and uncovered its relatively late emergence during evolution.
View Article and Find Full Text PDFNephrol Dial Transplant
January 2025
Clinica Medica, University Milano-Bicocca and University of Milano-Bicocca, Milan, Italy.
The autonomic nervous system plays a crucial role in regulating physiological processes and maintaining homeostasis through its two branches: the sympathetic nervous system (SNS) and the parasympathetic nervous system. Dysregulation of the autonomic system, characterized by increased sympathetic activity and reduced parasympathetic tone, is a common feature in chronic kidney disease (CKD) and cardiovascular disease. This imbalance contributes to a pro-inflammatory state, exacerbating disease progression and increasing the risk for cardiovascular events.
View Article and Find Full Text PDFJ Infect
January 2025
National Key Laboratory of Agricultural Microbiology, College of Fisheries, Huazhong Agricultural University, Wuhan, PR China; Hubei Hongshan Laboratory, Wuhan, PR China; Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt, Ministry of Education, Wuhan, PR China. Electronic address:
Objectives: Emerging human pathogens of animal origin have become an increasing public health concern in recent years. The aim of this study was to investigate the transmission of group B streptococcus (GBS) clonal complex (CC) 61 strains in the southern Chinese population and analyze their genetic characteristics.
Methods: Whole-genome sequencing was performed on 693 clinical isolates of GBS collected from southern China between 2016 and 2021, and the prevalence of human CC61 isolates was investigated by genomic epidemiology.
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