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A robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFThe role of histone lactylation genes in hepatocellular carcinoma prognostic models and their immune cell infiltration features: a comprehensive analysis of single-cell, spatial transcriptome, Mendelian randomization and experiment.
Discov Oncol
January 2025
Shandong University School of Medicine, 44 Wenhua Xi Road, Jinan, 250012, Shandong, China.
Introduction: With the increasing impact of hepatocellular carcinoma (HCC) on society, there is an urgent need to propose new HCC diagnostic biomarkers and identification models. Histone lysine lactylation (Kla) affects the prognosis of cancer patients and is an emerging target in cancer treatment. However, the potential of Kla-related genes in HCC is poorly understood.
View Article and Find Full Text PDFLessons learned from spatial transcriptomic analyses in clear-cell renal cell carcinoma.
Nat Rev Urol
January 2025
Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Spatial transcriptomics has emerged as a powerful tool for discerning the heterogeneity of the tumour microenvironment across various cancers, including renal cell carcinoma (RCC). Spatial transcriptomics-based studies conducted in clear-cell RCC (the only RCC subtype studied using this technique to date) have given insights into spatial interactions within this disease. These insights include the role of epithelial-to-mesenchymal transitioning, revealing proximity-dependent interactions between tumour cells, fibroblasts, interleukin-2-expressing macrophages and hyalinized regions.
View Article and Find Full Text PDFOngoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer.
Nat Cancer
January 2025
Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Patients with metastatic pancreatic ductal adenocarcinoma survive longer if disease spreads to the lung but not the liver. Here we generated overlapping, multi-omic datasets to identify molecular and cellular features that distinguish patients whose disease develops liver metastasis (liver cohort) from those whose disease develops lung metastasis without liver metastases (lung cohort). Lung cohort patients survived longer than liver cohort patients, despite sharing the same tumor subtype.
View Article and Find Full Text PDFEvaluation of the natural suitability of human settlements in the Western Sichuan Plateau region of China.
Sci Rep
January 2025
College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China.
The natural suitability of human settlements is greatly influenced by the distinct ecological environment and natural conditions of the plateau area, which are of great eco-environmental significance. 32 counties in China's Western Sichuan Plateau were chosen as the study's research subjects. The evaluation index system and weight of the natural suitability of human settlements were established, along with the obstacle degree model, using the analytical hierarchy process, the entropy method, and the integrated weight method.
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