The aim of this workshop session was to define a set of molecular tools for pre-clinical diagnosis in affected families, and to assess presence or absence of linkage to 11q13 in families with classical MEN1 as well as with MEN1-related clinical features. A consensus linkage map of first- and second-choice markers based on PCR as well as Southern blotting was established at the workshop. Based on the results from linkage analysis in 87 families with classical MEN1, presymptomatic testing using the suggested panel of markers, can now be performed with great accuracy.
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http://dx.doi.org/10.1111/j.1365-2796.1995.tb00929.x | DOI Listing |
BMC Vet Res
January 2025
State Key Laboratory for Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, 832000, Xinjiang, China.
Escherichia coli has become a common causative agent of infections in animals, inflicting serious economic losses on livestock production and posing a threat to public health. Escherichia coli infection is common and tends to be complex in Xinjiang, a major region of cattle and sheep breeding in China. This study aims to explore the current status and molecular characteristics of Escherichia coli infection in cattle and sheep in Xinjiang, as part of the disease prevention and control strategy.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Avenue de la Sallaz 8, CH-1011, Lausanne, Switzerland.
Background: Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Methods: Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed.
Methods Mol Biol
January 2025
College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea.
Saponins represent specialized (secondary) metabolites primarily sourced from plants, typically characterized by an aglycone component of triterpenoids or steroids, often referred to as sapogenin, coupled with sugar moieties. Their structural intricacy and diversity, along with their manifold pharmacological properties, have garnered significant interest among researchers. Notwithstanding this interest, the study of saponins has been encumbered by challenges in their isolation, purification, and structural characterization.
View Article and Find Full Text PDFInt J Infect Dis
January 2025
ICMR-Vector Control Research Centre, Puducherry, India.
Background: Molecular xenomonitoring (MX) is one of the recommended post-validation surveillance tools to detect early signals of lymphatic filariasis (LF) infection. This study reports the MX results of Culex quinquefasciatus transmitted Wuchereria bancrofti in three evaluation units of different settings in India.
Methods: Female Cx.
Mol Cell Proteomics
January 2025
State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; Xiang An Biomedicine Laboratory, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China. Electronic address:
Understanding dysregulated genes and pathways in cancer is critical for precision oncology. Integrating mass spectrometry-based proteomic data with transcriptomic data presents unique opportunities for systematic analyses of dysregulated genes and pathways in pan-cancer. Here, we compiled a comprehensive set of datasets, encompassing proteomic data from 2,404 samples and transcriptomic data from 7,752 samples across 13 cancer types.
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