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The Combination of Intravenous Immunoglobulin, Dexamethasone, and a High Dose of Mononuclear Cells Transfusion: An Effective Strategy for Decreasing Donor-Specific Antibodies During Haploidentical Hematopoietic Stem Cell Transplantation.
Cell Transplant
January 2025
Department of Hematology, 920th Hospital of Joint Logistics Support Force, Kunming, China.
Donor-specific antibodies (DSAs) are essential causes of graft rejection in haploidentical hematopoietic stem cell transplantation (haplo-HSCT). DSAs are unavoidable for some patients who have no alternative donor. Effective interventions to reduce DSAs are still needed, and the cost of the current therapies is relatively high.
View Article and Find Full Text PDFSegment specific loss of NFAT5 function in the kidneys is sufficient to induce a global kidney injury like phenotype.
FASEB J
January 2025
Department of Medicine, Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Nuclear factor of activated T-cells 5 (NFAT5) is a transcription factor known for its role in osmotic stress adaptation in the renal inner medulla, due to the osmotic gradient that is generated between the renal cortex and renal inner medulla. However, its broader implications in kidney injury and chronic kidney disease (CKD) are less understood. Here we used two different Cre deleter mice (Ksp1.
View Article and Find Full Text PDFLeft atrial appendage velocity, association with inflammatory indices in non-valvular atrial fibrillation patients.
Future Cardiol
January 2025
Echocardiography research Center, Rajaie cardiovascular medical and research Center, Iran University of Medical Science, Tehran, Iran.
Introduction: Decreased left atrial appendage emptying velocity (LAAV) is a marker for thrombus formation. This study evaluates the association between LAAV and inflammatory indices in non-valvular atrial fibrillation (AF) patients.
Methods: The study population was 1428 patients with AF, 875 of whom enrolled.
F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.
Asian Pac J Cancer Prev
January 2025
Department of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, Busan, Republic of Korea.
Objective: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regional lymph node metastasis in patients with colon cancer.
Methods: This retrospective study included 193 patients diagnosed with colon cancer between January 2014 and December 2017. All patients underwent F-18 FDG PET/CT and blood test before surgery.
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