Background: Dysregulation of ceramide and sphingomyelin levels have been suggested to contribute to the pathogenesis of Alzheimer's disease (AD). Ceramide transfer proteins (CERTs) are ceramide carriers which are crucial for ceramide and sphingomyelin balance in cells. Extracellular forms of CERTs co-localize with amyloid-β (Aβ) plaques in AD brains. To date, the significance of these observations for the pathophysiology of AD remains uncertain.
Methods: A plasmid expressing CERT, the long isoform of CERTs, was used to study the interaction of CERT with amyloid precursor protein (APP) by co-immunoprecipitation and immunofluorescence in HEK cells. The recombinant CERT protein was employed to study interaction of CERT with amyloid-β (Aβ), Aβ aggregation process in presence of CERT, and the resulting changes in Aβ toxicity in neuroblastoma cells. CERT was overexpressed in neurons by adeno-associated virus (AAV) in a mouse model of familial AD (5xFAD). Ten weeks after transduction, animals were challenged with behavior tests for memory, anxiety, and locomotion. At week 12, brains were investigated for sphingolipid levels by mass spectrometry, plaques, and neuroinflammation by immunohistochemistry, gene expression, and/or immunoassay.
Results: Here, we report that CERT binds to APP, modifies Aβ aggregation, and reduces Aβ neurotoxicity in vitro. Furthermore, we show that intracortical injection of AAV, mediating the expression of CERT, decreases levels of ceramide d18:1/16:0 and increases sphingomyelin levels in the brain of male 5xFAD mice. CERT in vivo over-expression has a mild effect on animal locomotion, decreases Aβ formation, and modulates microglia by decreasing their pro-inflammatory phenotype.
Conclusion: Our results demonstrate a crucial role of CERT in regulating ceramide levels in the brain, in amyloid plaque formation and neuroinflammation, thereby opening research avenues for therapeutic targets of AD and other neurodegenerative diseases.
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http://dx.doi.org/10.1186/s13195-021-00780-0 | DOI Listing |
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Historically the physiological or pathological loss of tooth structure in situ was deemed to be due to the 'absorption' of tooth structure due to the removal of the inorganic components of dentin and cementum by osteoclastic (dentinoclastic) cellular activity. This nomenclature and the activity that it represented was considered by almost all dental researchers and clinicians in the 1800s and early 1900s. The shift to the concept of 'resorption' occurred in the first half of the 20th century, with clarity emanating from significant research activity on the pathology of osseous structures, origin of osteoclastic cell types, and the function of periodontal ligament cells.
View Article and Find Full Text PDFEnviron Sci Technol
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Center for Environmental Research and Technology (CE-CERT), Bourns College of Engineering, University of California, 1084 Columbia Avenue, Riverside, California 92507, United States.
We assessed the real-world particulate emissions of a goods movement diesel vehicle, with an emphasis on total particle number and solid particle number emissions at different cutoff sizes. The vehicle was tested on routes in the South Coast Air Basin (SCAB) of California, representative of typical goods movement operation between the ports to warehouses and logistic centers with a mixture of urban and highway driving, as well as elevation change. We evaluated emissions during normal vehicle operation and diesel particulate filter (DPF) active regeneration events.
View Article and Find Full Text PDFSci Rep
January 2025
College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia.
Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.
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