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Aggregates of alpha-synuclein (α-syn) propagate through template-induced misfolding in people with Parkinson's disease (PD) and Multiple System Atrophy (MSA). Prion-like seeding is crucial in disease initiation and progression, representing a major target for disease-modifying therapies. The detection of α-syn seeding with seeding amplification assays (SAAs) has remarkable diagnostic and research potential. However, current SAAs rely on bulk tissue homogenates or fluids, losing critical spatial and cellular resolution. Here, we report our novel in situ seeding immunodetection (isSID) assay that enables the visualization of seeding with unprecedented morphological detail in intact biological tissue. Using the isSID assay, we confirm seeding activity in α-syn aggregates in PD, MSA, and other proteinopathies, while uncovering neuron-driven seeding preceding the clinical symptom onset in PD. Our findings provide new fundamental insights into the pathogenesis underlying neurodegeneration and establish an invaluable tool for studying protein aggregation dynamics, with potential applications in biomarker discovery, diagnostics, and therapeutics.
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http://dx.doi.org/10.1038/s41531-025-01111-y | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202.
Retinal ganglion cells (RGCs) are highly compartmentalized neurons whose long axons serve as the sole connection between the eye and the brain. In both injury and disease, RGC degeneration occurs in a similarly compartmentalized manner, with distinct molecular and cellular responses in the axonal and somatodendritic regions. The goal of this study was to establish a microfluidic-based platform to investigate RGC compartmentalization in both health and disease states.
View Article and Find Full Text PDFNaturwissenschaften
September 2025
Crop Research Institute, Drnovská 507/73, 161 06, Prague, Czech Republic.
Due to the growing environmental and health concerns with chemical plant stimulants, there is a growing need to find alternative sources of plant stimulants that could help the seeds germinate and sustain their growth in the global climate change scenario. The article compares various seed stimulants such as chemical compounds (benzothiadiazole, salicylic acid, glycine betaine), alcoholic extracts from commercial plant products (English oak bark, ginger spices, turmeric spices, caraway fruits) and from wild plant leaves (Japanese pagoda tree, Himalayan balsam, stinging nettle and Bohemian knotweed) and their effects on wheat seed germination and seedling characteristics. It was found that BTH had significantly lower effect on seedling characteristics such as SG3 (%), SG5 (%), R/S III, SVI I (mm) and SVI III (mg) followed by ZO on SG3 (%), SG5 (%) and GI (unit).
View Article and Find Full Text PDFRev Sci Instrum
September 2025
Department of Physics, University of Strathclyde, Glasgow, G1 1XJ, United Kingdom.
The calibration of the JET x-ray spectrometer is presented. The absolute throughput, diffractor focusing, and instrument function of the spectrometer are presented, and the quality of the ion temperature measurement is re-assessed, particularly at the lower end. The addition of a second diffractor enables the simultaneous measurements of the spectra from H- and He-like nickel, which widens the spatial coverage of the core-ion temperature measurements for high-performance plasmas at a fixed Bragg angle range.
View Article and Find Full Text PDFJ Biomed Mater Res B Appl Biomater
September 2025
Fertility and Infertility Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
In the current in vitro experiment, we fabricated and characterized placenta/platelet-rich plasma (PL/Pt) composite scaffolds and evaluated their effect on differentiating adipose stem cells (ASCs) into insulin-producing cells (IPCs) in vitro. The human placenta (PL) was decellularized (dPL), characterized, and digested in pepsin. PRP was extracted using a two-step centrifugation process and then freeze-dried.
View Article and Find Full Text PDFJ Food Sci
September 2025
Faculty of Computing, Federal University of Uberlandia, Uberlândia, Brazil.
The coffee roasting process is a critical factor in determining the final quality of the beverage, influencing its flavour, aroma, and acidity. Traditionally, roast-level classification has relied on manual inspection, which is time-consuming, subjective, and prone to inconsistencies. However, advancements in machine learning (ML) and computer vision, particularly convolutional neural networks (CNNs), have shown great promise in automating and improving the accuracy of this process.
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