Compared with conventional mesenchymal stem cells (MSCs), induced mesenchymal stem cells (iMSCs) from induced pluripotent stem cells are unique cell sources for tissue regeneration. The effect of extracellular vesicles (EVs) secreted from iMSCs on inhibiting acute kidney injury (AKI) to chronic kidney disease (CKD) transition was not reported. In this study, we investigated whether EVs from iMSCs (iMSC-EVs) could inhibit AKI-to-CKD transition.
View Article and Find Full Text PDFEthylmercury (EtHg) primarily enters the body through contaminated fish and mercury-containing vaccines, raising concerns about its neurotoxic risks, particularly for infants and young children. Although its neurodevelopmental impact has been suggested, research remains inconclusive. Given that neurite outgrowth, matrix metalloproteinase (MMP) activity, and brain-derived neurotrophic factor (BDNF) expression play critical roles in brain development and synaptic plasticity, we hypothesized that EtHg exposure disrupts these processes, leading to behavioral abnormalities.
View Article and Find Full Text PDFIntroduction: The association between post-polypectomy bleeding (PPB) and thrombocytopenia remains unclear, and current evidence is insufficient to provide definitive guidelines for managing patients with thrombocytopenia undergoing endoscopic procedures. We assessed the association between thrombocytopenia and PPB to identify the minimum platelet count threshold for safe colonoscopic polypectomy.
Methods: This large cohort study included patients who had undergone colonoscopy and polypectomy in Korea between 2005 and 2022.
Aims: This study aimed to investigate the correlation between clot composition and stroke mechanisms in patients undergoing endovascular therapy (EVT), using proteomic analysis.
Methods: This study included 35 patients with ischemic stroke (cardioembolism [CE], n = 17; large artery atherosclerosis [LAA], n = 6; cancer-related [CR], n = 4; and undetermined (UD) cause, n = 8) who underwent EVT. Retrieved clots were proteomically analyzed to identify differentially expressed proteins associated with the three stroke mechanisms and to develop the machine learning model.
Background: Clinical and genetic predispositions are significant in predicting atrial fibrillation (AF); however, their role in patients with hypertrophic cardiomyopathy (HCM) remains unclear. This study aims to elucidate the impact of clinical and genetic risk factors on the development of AF in patients with and without HCM.
Methods And Results: This retrospective analysis involved data from the UK Biobank cohort.