Objective: To discriminate and analyze the relative frequencies of alleles in HLA-DRB1*12:01:01G(HLA-DRB1*12:01:01/12:06/12:10/12:17) and HLA-DRB1*14:01:01G (DRB1*14:01:01/14:54) groups and assess their associations with HLA-DRB3 and HLA-DQB1 loci.
Methods: A total of 115 DNA samples previously typed as HLA-DRB1*12:01:01G and 108 samples from HLA-DRB1*14:01:01G were selected. DNA sequences for exons 1 to 3 of the HLA-DRB1 locus were analyzed for HLA-DRB1*12:01:01G, and exons 2 to 3 were analyzed for HLA-DRB1*14:01:01G by polymerase chain reaction sequence-based typing (PCR-SBT). Genotyping of HLA-DRB3 and HLA-DQB1 were achieved by PCR-SBT.
Results: Among 115 samples previously typed as HLA-DRB1*12:01:01G, 101 (87.8%) were confirmed as HLA-DRB1*12:01:01 and 14 (12.2%) were HLA-DRB1*12:10, but HLA-DRB1*12:06 and HLA-DRB1*12:17 alleles were not identified. For 108 samples previously typed as HLA-DRB1*14:01:01G, all were typed as HLA-DRB1*14:54. HLA-DRB1*12:01:01 was linked with HLA-DRB3*01:01:02 and HLA-DQB1*03:01, while HLA-DRB1*12:10 was strongly linked with HLA-DRB3*02:02:01 and HLA-DQB1*03:01. HLA-DRB1*14:54 was strongly linked with HLA-DRB3*02:02:01 and two different HLA-DQB1*05:02, *05:03 alleles.
Conclusion: HLA-DRB1*12:01:01 was more prevalent than HLA-DRB1*12:10 in the HLA-DRB1*12:01:01G group, and HLA-DRB1*14:54 was the dominant allele for HLA-DRB1*14:01:01G.
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http://dx.doi.org/10.3760/cma.j.issn.1003-9406.2012.01.021 | DOI Listing |
Comput Methods Programs Biomed
January 2025
School of Information Science and Technology, Fudan University, Shanghai, 200433, China; Key Laboratory of Medical Imaging, Computing and Computer Assisted Intervention, Shanghai, 200433, China. Electronic address:
Background And Objective: Utilizing AI to mine tumor microenvironment information in whole slide images (WSIs) for glioma molecular subtype and prognosis prediction is significant for treatment. Existing weakly-supervised learning frameworks based on multi-instance learning have potential in WSIs analysis, but the large number of patches from WSIs challenges the effective extraction of key local patch and neighboring patch microenvironment info. Therefore, this paper aims to develop an automatic neural network that effectively extracts tumor microenvironment information from WSIs to predict molecular typing and prognosis of glioma.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Science and Technology Branch, Pacific Environmental Science Centre, Environment and Climate Change Canada, Pacific and Yukon Laboratory for Environmental Testing, North Vancouver, BC, Canada.
Spilled plant-based oils behave very differently in comparison to petroleum oils and require different clean-up measures. They do not evaporate, disperse, dissolve, or emulsify to a significant degree but can polymerize and form an impermeable cap on sediment, smothering benthic media and resulting in an immediate impact on the wildlife community. The current study explored the application of rapid up-to-date direct analysis in real time (DART) with high-resolution mass spectrometry for plant-based oil typing.
View Article and Find Full Text PDFAnn Clin Microbiol Antimicrob
January 2025
Department of Microbiology, Medical College, Yangzhou University, Yangzhou, 225001, China.
Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) is recognized as a common clinical conditional pathogen with bla gene-mediated multidrug-resistance that is a significant threat to public health safety. Timely and effective infection control measures are needed to prevent their spread.
Methods: We conducted a retrospective study of CRAB patients at three teaching hospitals from 2019 to 2022.
Annu Rev Food Sci Technol
January 2025
1Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA; email:
Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
January 2025
Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Small, obligately anaerobic strains 13CB8C, 13CB11C, 13CB18C and 13GAM1G were isolated from a faecal sample in a patient with Parkinson's disease with a history of duodenal resection. After conducting a comprehensive polyphasic taxonomic analysis including genomic analysis, we propose the establishment of one new genus and four new species. The novel bacteria are sp.
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