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APP antisense oligonucleotides are effective in rescuing mitochondrial phenotypes in human iPSC-derived trisomy 21 astrocytes.
Alzheimers Dement
January 2025
Department of Neuroscience, City University of Hong Kong, Hong Kong, Hong Kong.
Introduction: Antisense oligonucleotides (ASOs) have shown promise in reducing amyloid precursor protein (APP) levels in neurons, but their effects in astrocytes, key contributors to neurodegenerative diseases, remain unclear. This study evaluates the efficacy of APP ASOs in astrocytes derived from an individual with Down syndrome (DS), a population at high risk for Alzheimer's disease (AD).
Methods: Human induced pluripotent stem cells (hiPSCs) from a healthy individual and an individual with DS were differentiated into astrocytes.
E. Coli cytotoxic necrotizing factor-1 promotes colorectal carcinogenesis by causing oxidative stress, DNA damage and intestinal permeability alteration.
J Exp Clin Cancer Res
January 2025
Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy.
Background: Bacterial toxins are emerging as promising hallmarks of colorectal cancer (CRC) pathogenesis. In particular, Cytotoxic Necrotizing Factor 1 (CNF1) from E. coli deserves special consideration due to the significantly higher prevalence of this toxin gene in CRC patients with respect to healthy subjects, and to the numerous tumor-promoting effects that have been ascribed to the toxin in vitro.
View Article and Find Full Text PDFNew insights into persistent corneal subepithelial infiltrates following epidemic keratoconjunctivitis: The first case report with ultrastructural and immunohistochemical investigations.
Acta Histochem
January 2025
Section of Anatomy and Histology, Imaging Platform, Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, Florence 50134, Italy. Electronic address:
Epidemic keratoconjunctivitis (EKC) is one of the most severe clinical manifestations of human adenovirus ocular surface infection, which may lead to the formation of subepithelial infiltrates (SEIs) in the anterior corneal stroma in 20-50 % of cases. SEIs may be asymptomatic or give rise to corneal aberrations and visual impairment for months or years after acute infection, despite treatments. Here, we describe the ultrastructural and immunophenotypic features of the anterior corneal stroma of a patient who underwent superficial anterior lamellar keratoplasty (SALK) surgery to remove corneal opacities related to clinically significant and steroid-unresponsive, long-lasting SEIs after adenoviral EKC.
View Article and Find Full Text PDFUtilizing FRET-based Biosensors to Measure Cellular Phosphate Levels in Mycorrhizal Roots of .
Bio Protoc
January 2025
Boyce Thompson Institute, 533 Tower Road, Ithaca, NY, USA.
Arbuscular mycorrhizal (AM) fungi engage in symbiotic relationships with plants, influencing their phosphate (Pi) uptake pathways, metabolism, and root cell physiology. Despite the significant role of Pi, its distribution and response dynamics in mycorrhizal roots remain largely unexplored. While traditional techniques for Pi measurement have shed some light on this, real-time cellular-level monitoring has been a challenge.
View Article and Find Full Text PDFIn Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.
J Imaging Inform Med
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.
The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.
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