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Tau is a protein associated with microtubules principally expressed in neuronal cells, where it plays a fundamental role in cytoskeleton stabilization and axonal transport. Several diseases collectively named tauopathies, such as Alzheimer’s disease, have been associated with an imbalance in the expression of alternative spliced Tau transcripts and the accumulation of hyperphosphorylated Tau, causing dysfunction and death of neuronal cells. Therefore, understanding the Tau exon splicing mechanisms may contribute to elucidating molecular factors that could underlie the development of neurodegenerative disorders. The aim of this study was to define the role of selected splicing factors in regulating Tau exon expression in cell lines and neuronal organoids. We demonstrated the role of the RNA-binding motif protein 20 (RBM20) splicing factor in regulating Tau exon 6 and exon 10, applying RNA-binding assay and qPCR analyses. Furthermore, we demonstrated that Tau expression was regulated during cerebral organoid differentiation, recapitulating in vivo Tau expression. These results suggest the feasibility of using brain organoid technology to study Tau alternative splicing during neural development, confirming that 3D cellular models could be used to study and characterize pathological processes taking place in Tau-related pathologies. Full article

Background/Objectives: Snow Chrysanthemum (Coreopsis tinctoria Nutt.), a traditional medicinal and edible plant rich in flavonoids (TFSC) with antihypertensive and neuroprotective activities, has unclear effects and mechanisms on vascular dementia (VaD) comorbid with hypertension, a key risk factor accelerating VaD. This study aimed to investigate TFSC’s ameliorative effects on cognitive impairment in hypertensive VaD rats and elucidate its holistic therapeutic mechanisms. Methods: Spontaneously hypertensive rats (SHRs) with unilateral common carotid artery ligation were used to establish the hypertensive VaD model. TFSC was intragastrically administered for 11 weeks. Systolic blood pressure (BP) and cerebral blood flow (CBF) were monitored; cognitive function was assessed via open field, novel object recognition and Morris water maze tests. Histopathological changes were evaluated by H&E and Nissl staining, serum oxidative stress and inflammatory markers were measured, and hippocampal transcriptome sequencing plus RT-qPCR was performed to identify key pathways and genes. Results: The chemical profile of TFSC was characterized, showing a total flavonoid content of 84.96%; 49 compounds were identified, 39 of which were flavonoids. TFSC reduced BP, improved CBF, alleviated cognitive dysfunction and neuronal damage, enhanced antioxidant capacity (increased SOD, CAT, GSH; decreased ROS), and exerted anti-inflammatory effects (reduced TNF-α, IL-1β, IL-6, Ang-II). It modulated multiple pathways, with the PI3K-Akt and MAPK pathways enriched, and validated key differentially expressed genes. Conclusions: This study provides preliminary evidence for the holistic therapeutic potential of TFSC against hypertensive VaD. With integrated vascular regulatory and neuroprotective effects, TFSC serves as a promising candidate for VaD by targeting both vascular risk factors and neuropathological damage. Full article

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorder. It is characterized by the accumulation of misfolded α-synuclein (α-syn) and progressive loss of dopaminergic neurons in the substantia nigra. Due to the limitations of current therapies, mesenchymal stromal cell (MSC) transplantation has emerged as a promising neuroprotective strategy. This study evaluated the neuroprotective potential of decidua-derived mesenchymal stromal cells (DMSCs) in vitro using a human neuroblastoma cell line (NB69) exposed to the neurotoxin 1-methyl-4-phenylpyridinium (MPP+) as a PD model. The NB69 cells were differentiated into a mature dopaminergic phenotype using dibutyryl cyclic adenosine monophosphate (dbcAMP) and then exposed to MPP+. In proliferative NB69 cells, the effect of DMSCs was masked by their inherent antitumor activity against the neuroblastoma phenotype. Conversely, in the differentiated NB69 model, DMSCs demonstrated a significant protective role against MPP+-induced cytotoxicity. Interestingly, the mechanism by which DMSCs might exert a neuroprotective effect against MPP+ damage in differentiated NB69 cells appears to involve improving mitochondrial function by reducing free radicals. In summary, these findings suggest that DMSCs exert a neuroprotective effect in a dopaminergic-like context and highlight the importance of using differentiated cell models to accurately evaluate cell-based therapies for PD in the striatum. Full article

The retina is a complex sensory neural tissue composed of six major types of neurons and one type of glial cell. The cell fate specification of retinal cells is tightly governed by intrinsic factors and extrinsic microenvironmental cues. Among the key regulators directing retinal cell fate differentiation is a group of bHLH family transcription factors (TFs). Our previous work demonstrated that the bHLH TF Ngn3 exhibits robust potential to induce retinogenesis in both distantly related fibroblasts in vitro and late retinal progenitor cells (RPCs) in vivo. However, the underlying molecular mechanisms remain largely elusive. In this study, we combined immunohistological examination and RNA-seq and ATAC-seq analyses to investigate the cellular and molecular mechanisms governing Ngn3-driven retinogenesis in late RPCs. Our results revealed that Ngn3 overexpression promotes premature cell cycle exit in late RPCs and remodels their transcriptomic and epigenomic landscape towards a state favoring rod photoreceptor and RGC differentiation. Furthermore, cross-comparison with Ngn3-overexpressing fibroblasts in vitro revealed cell-type-specific mechanisms underlying Ngn3-mediated neuronal fate reprogramming. These findings advance our understanding of Ngn family-mediated retinal cell fate regulation and provide a mechanistic framework for optimizing Ngn3-based retinal regeneration strategies for the treatment of retinal degeneration diseases. Full article

Background: Neuroinflammation is recognized as a key contributor to Parkinson’s disease (PD), but the relationships between inflammatory signaling, immune-state alterations, and cell-type-specific transcriptional programs remain unclear. Methods: Public transcriptomic datasets, including GSE20141 (discovery cohort) and the substantia nigra subset of GSE114517 (external validation cohort), were analyzed. Genes identified by exploratory differential-expression screening in the discovery cohort were intersected with predefined inflammation- and chemokine-related gene sets to define a candidate space for downstream prioritization. Protein–protein interaction, Gene Ontology, KEGG, and immune-signature analyses were performed, followed by machine learning-based feature prioritization using Elastic Net, support vector machine-recursive feature elimination, and random forest. Prioritized candidates were further evaluated by cross-platform validation, single-nucleus transcriptomic mapping, and a hypothesis-generating in silico perturbation analysis in PD astrocytes. Results: Seventeen genes were retained at the intersection of PD-related differentially expressed genes and inflammation-/chemokine-associated gene sets. These candidates formed a response module enriched in mitochondrial organization, oxidative phosphorylation, and mitophagy pathways. Immune-signature analysis suggested an altered transcriptome-derived immune landscape in PD, with changes in NK cell-related signatures and significant correlations between immune-state scores and the candidate genes. Machine learning-based prioritization yielded five shared candidates, of which only CCL2 and PAK6 showed same-direction support with nominal significance in the external validation cohort. Single-nucleus transcriptomic analysis localized CCL2 predominantly to astrocytes, whereas PAK6 was more strongly associated with neuronal populations, particularly OTX2-positive ventral midbrain neurons. In silico perturbation analysis further predicted that CCL2 suppression in PD astrocytes may be associated with translational- and ribosome-related regulatory programs. Conclusions: CCL2 and PAK6 emerged as prioritized candidate biomarkers associated with PD-related inflammatory and chemokine-linked transcriptional alterations in the substantia nigra. More broadly, this study provides a multi-layered framework for candidate prioritization, cross-platform validation, and cell-type-level contextualization in PD neuroinflammation. Because the study is computational and the perturbation analysis is predictive, orthogonal experimental validation will be required to determine whether CCL2 and PAK6 are biomarkers of disease-associated transcriptional states, functional contributors to PD pathogenesis, or both. Full article

Chronic pain, a complex multidimensional disorder, remains a major healthcare issue and a therapeutic challenge. Neuropathic pain is a chronic pain condition that results from damage or dysfunction in the nervous system. While mechanisms of neuropathic pain at the peripheral and spinal cord level have been extensively studied, pain mechanisms in the brain remain underexplored. The amygdala, a limbic brain region, has emerged as a critical brain area for the emotional–affective dimension of pain and pain modulation. Amygdala neuroplasticity has been associated with pain states, but the exact molecular and cellular mechanisms underlying these states and the transition from acute to chronic pain are not well understood. Here, we used the spinal nerve ligation (SNL) model of neuropathic pain in male rats to investigate changes in gene expression in the amygdala at the chronic pain stage using RNA sequencing (RNA-Seq). Two amygdala nuclei, the basolateral (BLA) and central (CeA), were investigated in a hemisphere-dependent manner. We used an integrative approach that focuses on functional significance and cell-type specificity of differentially expressed genes (DEGs) to nominate mechanistic targets for central regulation of chronic pain. Our integrative transcriptomic and bioinformatic analyses identified individual genes (e.g., Cxcl10, Cxcl12, Mbp, Plp1, Mag, Mog, Slc17a6, Gad1, and Sst), molecular pathways (e.g., cytokine-mediated signaling pathway), biological processes (e.g., myelination, synaptic transmission), and specific cell types (e.g., oligodendrocytes, glutamatergic, and GABAergic neurons) affected by chronic pain. Our results also provide some evidence for the emerging concept of hemispheric lateralization of pain processing in the amygdala. Overall, our study proposes oligodendrocyte dysfunction in the amygdala, neuroimmune signaling in the CeA, and glutamatergic neurotransmission in the BLA as key processes and potential therapeutic targets for the management of chronic neuropathic pain. Full article

The oilfield gathering and transportation system (OGTS) accounts for a substantial share of total energy consumption, demonstrating considerable potential for energy-saving optimization. Previous research primarily focused on the independent optimization of gathering pipeline networks or processing stations, with little attention given to their integrated optimization. This study investigates the OGTS of a domestic oilfield block. It develops artificial neural network (ANN) surrogate models for both pipelines and processing station equipment to accurately capture system operating states. An optimization model linking the pipeline network and processing station is established, and a differential evolution algorithm is applied to enhance computational efficiency. The results indicate that optimal predictive performance was achieved when the first hidden layer of the backpropagation neural network (BPNN) contained 50 neurons with a rectified linear unit (ReLU) activation function, with the surrogate models achieving coefficient of determination (R²) values exceeding 0.85. Under a 30 min optimization cycle, total system energy consumption decreased by 2.28%, with computation completed in under 3 min, while daily average optimization led to a 1.55% reduction. These findings demonstrate that the proposed integrated optimization framework offers both a robust methodological foundation and practical engineering guidance for coordinated, low-carbon, and energy-efficient operation of oilfields. Full article

Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition marked by heterogeneous behavioral symptoms and systemic comorbidities, including immune and gastrointestinal dysfunctions. Emerging studies suggest that glycosylation—a fundamental post-translational modification regulating cellular communication and immune responses—may play a role in ASD pathophysiology, yet its contribution remains underexplored. Methods: In this study, we developed an integrative transcriptomic and network analysis framework to investigate glycosylation-related gene expression changes and their functional associations in ASD. Using publicly available datasets from bulk and single-cell RNA sequencing of brain and blood tissues, we focused on four prior-knowledge gene subsets: glycogenes, extracellular matrix glycoproteins, immune response genes, and autism risk genes. Results: Differential expression and pathway enrichment analyses revealed consistent dysregulation of glycosylation pathways, including mucin-type O-glycan biosynthesis, glycosaminoglycan metabolism, GPI-anchor formation, and sialylation, across ASD tissues. These transcriptional changes were functionally linked to altered immune signaling (e.g., IL-17, Toll-like receptor, and complement pathways) and synaptic development pathways, forming a distinct glyco-immune axis. Network analysis identified key glycogenes such as GALNT10, NEU1, LMAN2L, and CHST1 as central molecular nodes, interacting with immune and neuronal regulators. Linkage disequilibrium analysis further revealed ASD-associated SNPs influencing the expression of these glycogenes in both blood and brain tissues. Conclusions: Together, these findings support a model in which disrupted glycosylation contributes to ASD pathophysiology by mediating immune dysregulation and altered neuronal connectivity. This study offers a systems-level framework to understand the molecular complexity of ASD and highlights glycogenes as potential biomarkers and targets for future therapeutic exploration. Full article

Introduction: Pathogenic mutations in leucine-rich repeat protein kinase-2 (LRRK2), particularly G2019S, constitute the most common cause of autosomal dominant PD. Methods: Mouse models encoding human mutant alpha-synuclein (SNCA A53T) and LRRK2 G2019S were treated with a brain-penetrant kinase inhibitor (BK40196). Behavior, nigrostriatal and mesolimbic dopamine (DA) pathways were examined. Results: Mice harboring LRRK2 G2019S do not show age-dependent motor symptoms, but mice encoding SNCA A53T display motor deficits, while both strains exhibit anxiety-like behavior and BK40196 improves motor and behavioral defects. BK40196, a multi-kinase inhibitor of Abelson (Abl), Discoidin domain receptor (DDR)-1, c-KIT and FYN, alters microglial morphology and alpha-synuclein levels in SNCA A53T mice and improves DA neurotransmission, primarily via the nigrostriatal system. BK40196 inhibits brain LRRK2 G2019S (IC₅₀ of 89nM) and does not affect phosphorylated or total peripheral LRRK2 levels (lungs, kidneys, liver, etc.). LRRK2 G2019S mice treated with BK40196 exhibit distinct increases in DA in mesolimbic neurons such as the nucleus accumbens (NAcc), suggesting differential mechanisms of DA neurotransmission in mutant alpha-synuclein and LRRK2 models of PD. Conclusions: LRRK2 G2019S may primarily involve mesolimbic pathways leading to nonmotor symptoms independent of the motor and behavioral manifestations associated with alpha-synuclein via the nigrostriatal system. BK40196 may provide a comprehensive and synergistic therapeutic approach that addresses multiple mechanisms to reduce the pathologies related to LRRK2 G2019S and/or SNCA in PD. The multiple pathologies of PD necessitate a holistic approach that simultaneously targets inflammation and autophagy and LRRK2 inhibition. Full article

The capacity of the brain to adapt to experience has long been associated with synaptic plasticity; however, recent evidence demonstrates that experience-driven neural activity also modulates white matter organization through dynamic regulation of oligodendrocyte lineage cells and myelination. Activity-dependent myelination has emerged as a complementary form of neuroplasticity that contributes to circuit efficiency, temporal coordination, and cognitive function. This review aims to examine the neurobiological mechanisms linking cognitive stimulation and activity-dependent neuronal signaling with oligodendroglial dynamics and adaptive myelination. A narrative review of experimental and translational studies was conducted, focusing on evidence from animal models and human research exploring neuron–oligodendroglia interactions, neurotransmitter-mediated signaling, learning paradigms, physical exercise, and neuromodulatory interventions relevant to myelination and brain plasticity. Accumulating evidence indicates that cognitive stimulation, learning, and physical activity modulate neuronal firing patterns and neurotransmitter release, influencing oligodendrocyte precursor cell proliferation, differentiation, and myelin remodeling. Neurotransmitters such as glutamate, GABA, dopamine, and acetylcholine play key roles in neuron–oligodendroglia communication, largely through calcium-dependent intracellular signaling pathways. These mechanisms have been associated with experience-dependent circuit refinement across motor, cognitive, and stress-related paradigms. Rather than implying direct clinical effects, this review highlights oligodendroglial plasticity as a biologically plausible substrate through which cognitive and behavioral experiences may influence adaptive myelination and white matter integrity. Understanding these mechanisms provides a conceptual framework for future research exploring non-pharmacological approaches to modulate brain plasticity at the level of myelin. Full article

Land cover classification (LCC) is a fundamental task in remote sensing, which enables effective environmental monitoring, agricultural planning, and disaster management. The existing approaches often rely on fine-tuning pre-trained models, which are not specifically designed for LCC, which lead to suboptimal performance in complex scenarios. To address these limitations, we propose the Cross-Module Attention Land Cover Network (CALCNet), a novel architecture developed from scratch. CALCNet follows a contracting and restoration backbone, where the contracting path extracts progressively abstract semantic features while reducing spatial resolution, and the restoration path recovers fine-grained spatial details through upsampling and skip connections. In addition, CALCNet integrates a cross-module attention mechanism that combines spatial attention and multi-scale feature selection to enhance feature representation. Furthermore, we applied a differential evolution-based neuron pruning strategy to create a compressed CALCNet variant, which retains high classification performance while reducing computational cost. The CALCNet is evaluated on four benchmark LCC datasets, AID, UCMerced_LandUse, NWPU_RESISC45, and EuroSAT, demonstrating strong performance across all benchmarks. Specifically, the model achieves classification accuracies of 98.09%, 99.47%, 99.19%, and 99.19%, respectively. The compressed CALCNet variant reduces computational cost to 78.55 million floating point operations (FLOPs) with a model size of 43 MB, while achieving improved inference speeds (38.32 frames/sec on CPU and 118.3 frames/sec on GPU), representing approximately 45–50% reduction in FLOPs and model storage. These results highlight that CALCNet is both highly accurate and computationally efficient, making it well suited for real-world LCC applications. Full article

Ischemic stroke induces complex molecular responses that disrupt subcellular organelles’ function and contribute to brain injury, yet the temporal changes of organelle-specific transcriptomic remodeling remain to be investigated. In this study, we performed in silico analysis of publicly available transcriptomic data from isolated brain microvessels of transient middle cerebral artery occlusion (tMCAO) mouse model. Using in silico approaches, we analyzed differential gene expression at 24 h (acute phase) and 7 d (intermediate phase) post-stroke, focusing on mitochondria, endoplasmic reticulum (ER), and Golgi apparatus. Functional enrichment (Gene Ontology, KEGG) and protein–protein interaction network analyses were performed. Our analysis of the data revealed that at 24 h post-stroke, all three organelles exhibited marked transcriptional remodeling, where mitochondrial pathways showed disrupted metabolic and redox regulation; ER pathways indicated activation of biosynthetic processes, stress signaling, and ferroptosis; and Golgi-related genes reflected altered vesicular trafficking and glycosylation. By 7 d, mitochondrial alterations subsided, whereas ER and Golgi pathways displayed downregulation of metabolic and neuronal signaling processes, indicating persistent dysfunction and incomplete microvascular recovery. Phase-specific drug–gene interaction analysis will be useful to understand temporal organelle-associated transcriptional organization and to guide future investigations of neurovascular remodeling after ischemic stroke. Full article

Polyamines are small, positively charged molecules essential for fundamental cellular processes, including transcription, translation, and membrane fluidity. In the central nervous system (CNS), these molecules serve as homeostatic gatekeepers by modulating neuroreceptors like NMDA and supporting autophagic clearance. While basal polyamine levels are necessary for proper neuronal differentiation and memory formation, their dysregulation is a hallmark of neurodegenerative pathologies such as Alzheimer’s and Parkinson’s diseases. Neurotropic viruses, including poliovirus, Zika virus, and human cytomegalovirus are significant human pathogens that rely on cellular metabolites for their replication, including polyamines. These pathogens exploit polyamines at multiple stages of their life cycles, relying on them for virion stability, cellular attachment, and the stimulation of viral enzyme activity. Notably, diverse viral families share this dependence, making polyamine biosynthesis a prime target for broad-spectrum antiviral therapies. This review covers the current understanding of polyamine metabolism in virus infection and CNS health and disease, as well as considering antiviral therapies targeting host polyamines to limit neurotropic virus infection. Full article

Oligodendroglial cells are the myelinating glial cells of the central nervous system (CNS), and their morphological differentiation is a prerequisite for efficient myelin formation, which is essential for proper neuronal function. While oligodendroglial morphological changes normally proceed through tightly regulated developmental transitions, disruption of the underlying molecular mechanisms can lead to aberrant cellular phenotypes characterized by either premature, insufficient, or excessive differentiation. Although the phosphatidylinositol 3-kinase (PI3K) and its downstream Akt kinase signaling are well established as major drivers of oligodendrocyte morphological differentiation, myelination, and CNS white matter formation, how its negative regulator, phosphatase and tensin homolog (PTEN), is involved in the regulation of oligodendroglial morphogenesis remains incompletely understood. Recent genetic studies have highlighted a spectrum of disorders caused by PTEN dysfunction, conceptually established but currently evolving as PTENopathy, which has been partially associated with white matter abnormalities. Here, we report that, in an experimental model using the FBD-102b cell line, a well-established model of oligodendroglial cell differentiation, chemical inhibition of PTEN enhances pronounced morphological changes characterized by widespread membranes, accompanied by increased expression of differentiation and/or myelin marker proteins. We then focused on Rho family small GTPases, central regulators of cell morphogenesis, and examined their potential involvement downstream of this signaling. Expression of the RhoG-binding domain (RBD) of engulfment and cell motility 1 (ELMO1) attenuated the increased morphological changes. Similarly, inhibition of downstream Akt signaling also reversed these changes. Taken together, these results provide insight into how balanced regulation between PTEN and downstream signaling molecules governs oligodendroglial cell differentiation and suggest that dysregulation of this signaling equilibrium may contribute to cellular phenotypes relevant to disease-associated cellular alterations. Full article

Fetal hypoxia and maternal stress during pregnancy are major risk factors for neurological disorders. The effects of maternal hypoxia may be transmitted to the next generation through persistent alterations in maternal endocrine and metabolic regulation. In this study, using immunohistochemistry, quantitative RT-PCR, and Western blotting, we assessed morphological features and HIF1-dependent processes in the fetal and adult brains of progeny of female rats exposed to maternal hypoxia (PMH). We identified a delay in progenitor cell differentiation into neurons at embryonic day 14, a decreased number of neurons in the hippocampus, an increased number of astrocytes in the prefrontal cortex, and a decreased number of astrocytes in the raphe nuclei of the PMH rats. However, no significant changes were observed in HIF1α protein levels or in the protein levels of HIF1-dependent gene products in the examined brain structures. Thus, the transgenerational effect of maternal hypoxia is manifested as structural disturbances of brain development but is not accompanied by changes in HIF1-dependent metabolism. Full article