Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
View Article and Find Full Text PDFAlzheimer's disease (AD) is the most prevalent neurodegenerative disorder, characterized by the accumulation of amyloid-beta (Aβ) plaques and neuroinflammation. This study investigates the protective effects of noradrenaline (NA) on human microglial cells exposed to lipopolysaccharides (LPS) and Aβ aggregates-major contributors to inflammation and cellular damage in AD. The reduced Aβ aggregation in the HMC3 human microglial cells co-treated with Aβ and NA was confirmed by thioflavin T (ThT) assay, fluorescent ThT staining, and immunocytochemistry (ICC).
View Article and Find Full Text PDFDespite significant advancements in the field of oncology, cancers still pose one of the greatest challenges of modern healthcare. Given the cytoskeleton's pivotal role in regulating mechanisms critical to cancer development, further studies of the cytoskeletal elements could yield new practical applications. Septins represent a group of relatively well-conserved GTP-binding proteins that constitute the fourth component of the cytoskeleton.
View Article and Find Full Text PDFParkinson's disease (PD) is a neurodegenerative disorder which affects dopaminergic neurons of the midbrain. Accumulation of α-synuclein or exposure to neurotoxins like 6-hydroxydopamine (6-OHDA) induces endoplasmic reticulum (ER) stress along with the unfolded protein response (UPR), which executes apoptosis via activation of PERK/CHOP or IRE1/JNK signaling. The present study aimed to determine which of these pathways is a major contributor to neurodegeneration in an 6-OHDA-induced in vitro model of PD.
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