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Chronic kidney disease-mineral and bone disorder: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.
Kidney Int
January 2025
Laboratório de Fisiopatologia Renal (LIM 16), Nephrology Department, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Universidade de São Paulo, São Paulo, Brazil. Electronic address:
In 2017, Kidney Disease: Improving Global Outcomes (KDIGO) published a Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Since then, new lines of evidence have been published related to evaluating disordered mineral metabolism and bone quality and turnover, identifying and inhibiting vascular calcification, targeting vitamin D levels, and regulating parathyroid hormone. For an in-depth consideration of the new insights, in October 2023, KDIGO held a Controversies Conference on CKD-MBD: Progress and Knowledge Gaps Toward Personalizing Care.
View Article and Find Full Text PDFTRAF1 promotes osteoclastogenesis by enhancing metabolic adaptation to oxidative phosphorylation in an AKT-dependent manner.
Mol Ther
January 2025
Department of Orthopaedic surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address:
Tumor necrosis factor receptor-associated factor 1 (TRAF1) is a crucial signaling adaptor involved in multiple cellular events. However, its role in regulating osteoclastogenesis and energy metabolism remains unclear. Here, we report that TRAF1 promotes osteoclastogenesis and oxidative phosphorylation (OXPHOS).
View Article and Find Full Text PDFCorrelations between spinopelvic parameters and health-related quality of life in degenerative lumbar scoliosis patients before and after long -level fusion surgery.
BMC Musculoskelet Disord
January 2025
Department of Orthopedics, Peking University Third Hospital, No. 49. North Garden Street, Hai Dian District, Beijing, 100191, People's Republic of China.
Background: For degenerative lumbar scoliosis (DLS), prior studies mainly focused on the preoperative relationship between spinopelvic parameters and health-related quality of life (HRQoL), lacking an exhaustive evaluation of the postoperative situation. Therefore, the postoperative parameters most closely bonded with clinical outcomes has not yet been well-defined in DLS patients. The objective of this study was to comprehensively assess the correlation between radiographic parameters and HRQoL before and after surgery, and to identified the most valuable spinopelvic parameters for postoperative curative effect.
View Article and Find Full Text PDFUnveiling the omics tapestry of B-acute lymphoblastic leukemia: bridging genomics, metabolomics, and immunomics.
Sci Rep
January 2025
Division of Hematology, Second Xiang-ya Hospital, Central South University, Changsha, China.
Acute B-lymphoblastic leukemia (B-ALL) is a highly heterogeneous hematologic malignancy, characterized by significant molecular differences among patients as the disease progresses. While the PI3K-Akt signaling pathway and metabolic reprogramming are known to play crucial roles in B-ALL, the interactions between lipid metabolism, immune pathways, and drug resistance remain unclear. In this study, we performed multi-omics analysis on different patient cohorts (newly diagnosed, relapsed, standard-risk, and poor-risk) to investigate the molecular characteristics associated with metabolism, signaling pathways, and immune regulation in B-ALL.
View Article and Find Full Text PDFPotential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer.
Sci Rep
January 2025
Department of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.
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