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Phenotypic Classification of Multisystem Inflammatory Syndrome in Children Using Latent Class Analysis.

JAMA Netw Open

January 2025

Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.

Importance: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.

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Context: Type 1 diabetes (T1D) is characterized by the presence of autoantibodies on a genetic background largely determined by HLA class II haplotypes. Stage 1 T1D is characterized by the presence of multiple autoantibodies and normoglycemia.

Objective: To investigate the prevalence of high-risk HLA-DQB1 haplotypes and the extent of islet autoimmunity in pancreatic tissues from non-diabetic organ donors with autoantibodies.

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Tuberculosis (TB), a leading infectious disease caused by the pathogen , poses a significant treatment challenge due to its unique characteristics and resistance to existing drugs. The conventional treatment regimens, which are lengthy and involve multiple drugs, often result in poor patient adherence and subsequent drug resistance, particularly with multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains. This highlights the urgent need for novel anti-TB therapies and new drug targets.

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Taenia multiceps is found in canids and in its larval stage is known as Coenurus cerebralis causes coenurosis. The disease has a significant impact on the economic value of sheep and goats. The aim of the current study was to identify multiple cysts in the brain of a sheep displaying common symptoms of C.

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4D live tracing reveals distinct movement trajectories of meiotic chromosomes.

Life Med

December 2024

Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.

Proper chromosome alignment at the spindle equator is a prerequisite for accurate chromosome segregation during cell division. However, the chromosome movement trajectories prior to alignment remain elusive. Here, we established a 4D imaging analysis framework to visualize chromosome dynamics and develop a deep-learning model for chromosome movement trajectory classification.

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