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Nuclear alpha-synuclein accelerates cell senescence and neurodegeneration
BackgroundThe progression of Parkinson’s disease (PD) is related to ageing. The accumulation of nuclear alpha-synuclein (α-syn) may accelerate the...
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Gut Microbiota in Primary Osteoporosis: a Systematic Review
The link between gut microbiota (GM) and primary osteoporosis has garnered substantial attention. In this study, we conducted a systematic review...
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PET Images Enhancement Using Deep Training of Reconstructed Images with Bayesian Penalized Likelihood Algorithm
PurposeTo adopt the merits of the Bayesian Penalized Likelihood (BPL) reconstruction algorithm (incl. improved contrast recovery), a deep learning...
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Systematic optimization of prime editing for the efficient functional correction of CFTR F508del in human airway epithelial cells
Prime editing (PE) enables precise and versatile genome editing without requiring double-stranded DNA breaks. Here we describe the systematic...
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Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy
The most widely used fluorophore in glioma-resection surgery, 5-aminolevulinic acid (5-ALA), is thought to cause the selective accumulation of...
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On the Importance of Including Cohesive Zone Models in Modelling Mixed-Mode Aneurysm Rupture
IntroductionThe precise mechanism of rupture in abdominal aortic aneurysms (AAAs) has not yet been uncovered. The phenomenological failure criterion...
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Sensing and guiding cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA sensors
Precisely sensing and guiding cell-state transitions via the conditional genetic activation of appropriate differentiation factors is challenging....
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Cellular Senescence-Related Long Non-coding RNA Signatures Predict Prognosis in Juvenile Osteosarcoma
Osteosarcoma is the most common malignant bone tumor and is frequently diagnosed in juvenile. Cellular senescence is a fundamental hallmark of...
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Risk of Cardiovascular Disease Hospitalization After Common Psychiatric Disorders: Analyses of Disease Susceptibility and Progression Trajectory in the UK Biobank
Whether associations between psychiatric disorders and hospitalization for cardiovascular diseases (CVDs) can be modified by disease susceptibility...
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A multi-channel stimulator with an active electrode array implant for vagal-cardiac neuromodulation studies
BackgroundImplantable vagus nerve stimulation is a promising approach for restoring autonomic cardiovascular functions after heart transplantation....
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Yixin-Fumai granules modulate autophagy through the PI3K/AKT/FOXO pathway and lead to amelioration of aging mice with sick sinus syndrome
ObjectiveBy employing network pharmacology alongside molecular docking techniques, we can delve into the intricate workings of Yixin-Fumai granules...
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Targeting protein interaction networks in mitochondrial dynamics for neurodegenerative diseases
Mitochondria, the powerhouse of eukaryotic cells, are the central organelle controlling energy metabolism and apoptosis. Based on metabolic needs,...
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Unraveling metabolic pathways and key genes in Alzheimer’s, type 2 diabetes, and estrogen dysregulation among aging women: a systems biology approach
BackgroundAlzheimer’s disease (AD) and Type 2 Diabetes Mellitus (T2DM) present significant global health challenges, particularly affecting aging...
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Multiple myeloma: signaling pathways and targeted therapy
Multiple myeloma (MM) is the second most common hematological malignancy of plasma cells, characterized by osteolytic bone lesions, anemia,...
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Impaired ATP hydrolysis in blood plasma contributes to age-related neutrophil dysfunction
BackgroundThe function of polymorphonuclear neutrophils (PMNs) decreases with age, which results in infectious and inflammatory complications in...
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Engineering biomaterials by inkjet printing of hydrogels with functional particulates
Hydrogels with particulates, including proteins, drugs, nanoparticles, and cells, enable the development of new and innovative biomaterials. Precise...
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Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials
Background and ObjectiveAdvanced material models and material characterization of soft biological tissues play an essential role in pre-surgical...