Aneuploidy is Linked to Neurological Phenotypes Through Oxidative Stress
AbstractAneuploidy, having an aberrant genome, is gaining increasing attention in neurodegenerative diseases. It gives rise to proteotoxic stress as well as a stereotypical oxidative shift which makes these cells sensitive to internal and environmental stresses. A growing body of research from numerous laboratories suggests that many neurodegenerative disorders, especially Alzheimer ’s disease and frontotemporal dementia, are characterised by neuronal aneuploidy and the ensuing apoptosis, which may contribute to neuronal loss. UsingDrosophila as a model, we investigated the effect of induced aneuploidy in GABAergic neuro...
Source: Journal of Molecular Neuroscience - May 2, 2024 Category: Neuroscience Source Type: research
Behavioral and Metabolic Effects of ABCG4 KO in the APPswe,Ind (J9) Mouse Model of Alzheimer ’s Disease
In this study, we bredAbcg4 knockout (KO) with the APPSwe,Ind (J9) mouse model of AD to test the hypothesis that loss ofAbcg4 would exacerbate the AD phenotype. Unexpectedly, no differences were observed in novel object recognition (NOR) and novel object placement (NOP) behavioral tests, or on histologic examinations of brain tissues for senile plaque numbers. Furthermore, clearance of radiolabeled A ß from the brains did not differ betweenAbcg4 KO and control mice. Metabolic testing by indirect calorimetry, glucose tolerance test (GTT), and insulin tolerance test (ITT) were also mostly similar between groups with only a ...
Source: Journal of Molecular Neuroscience - April 26, 2024 Category: Neuroscience Source Type: research
Predictive Model to Identify the Long Time Survivor in Patients with Glioblastoma: A Cohort Study Integrating Machine Learning Algorithms
AbstractWe aimed to develop and validate a predictive model for identifying long-term survivors (LTS) among glioblastoma (GB) patients, defined as those with an overall survival (OS) of more than 3 years. A total of 293 GB patients from CGGA and 169 from TCGA database were assigned to training and validation cohort, respectively. The differences in expression of immune checkpoint genes (ICGs) and immune infiltration landscape were compared between LTS and short time survivor (STS) (OS<1.5 years). The differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify the ...
Source: Journal of Molecular Neuroscience - April 25, 2024 Category: Neuroscience Source Type: research
A Prognostic Methylation-Driven Two-Gene Signature in Medulloblastoma
In this study, we used six datasets totaling 1679 samples including RNA gene expression and DNA methylation data from primary MB as well as control samples from healthy cerebellum. We identified methylation-driven genes (MDGs) in MB, genes whose expression is correlated with their methylation. We employed LASSO regression, incorporating the MDGs as a parameter to develop the prognostic model. Through this approach, we deri ved a two-gene signature (GS-2) of candidate prognostic biomarkers for MB (CEMIP andNCBP3). Using a risk score model, we confirmed the GS-2 impact on overall survival (OS) with Kaplan-Meier analysis. We ...
Source: Journal of Molecular Neuroscience - April 25, 2024 Category: Neuroscience Source Type: research
Predictive Model to Identify the Long Time Survivor in Patients with Glioblastoma: A Cohort Study Integrating Machine Learning Algorithms
AbstractWe aimed to develop and validate a predictive model for identifying long-term survivors (LTS) among glioblastoma (GB) patients, defined as those with an overall survival (OS) of more than 3 years. A total of 293 GB patients from CGGA and 169 from TCGA database were assigned to training and validation cohort, respectively. The differences in expression of immune checkpoint genes (ICGs) and immune infiltration landscape were compared between LTS and short time survivor (STS) (OS<1.5 years). The differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify the ...
Source: Journal of Molecular Neuroscience - April 25, 2024 Category: Neuroscience Source Type: research
A Prognostic Methylation-Driven Two-Gene Signature in Medulloblastoma
In this study, we used six datasets totaling 1679 samples including RNA gene expression and DNA methylation data from primary MB as well as control samples from healthy cerebellum. We identified methylation-driven genes (MDGs) in MB, genes whose expression is correlated with their methylation. We employed LASSO regression, incorporating the MDGs as a parameter to develop the prognostic model. Through this approach, we deri ved a two-gene signature (GS-2) of candidate prognostic biomarkers for MB (CEMIP andNCBP3). Using a risk score model, we confirmed the GS-2 impact on overall survival (OS) with Kaplan-Meier analysis. We ...
Source: Journal of Molecular Neuroscience - April 25, 2024 Category: Neuroscience Source Type: research
Expression Patterns of miRNAs in Egyptian Children with ADHD: Clinical Study with Correlation Analysis
AbstractADHD has huge knowledge gaps concerning its etiology. MicroRNAs (miRNAs) provide promising diagnostic biomarkers of human pathophysiology and may be a novel therapeutic option. The aim was to investigate the levels of miR-34c-3p, miR-155, miR-138-1, miR-296-5p, and plasma brain-derived neurotrophic factor (BDNF) in a group of children with ADHD compared to neurotypicals and to explore correlations between these measures and some clinical data. The participants were children with ADHD in Group I (N = 41; age: 8.2 ± 2) and neurotypical ones in Group II (N = 40; age: 8.6 ± 2.5). Group I was subjected...
Source: Journal of Molecular Neuroscience - April 23, 2024 Category: Neuroscience Source Type: research
Genetic and Phenotypic Profiling of Triptan Users in a Swedish Cluster Headache Cohort
AbstractUp to 25% of individuals who live with cluster headache (CH), an extremely painful primary headache disorder, do not adequately respond to the first-line treatment, triptans. Studies have indicated that genetic variants can play a role in treatment response. Likewise, differences in clinical characteristics can give clues to mechanisms underlying triptan non-response. Our aim was to investigate five genetic variants previously implicated in triptan response and their relation to triptan usage in our Swedish CH cohort and to investigate potential distinctions in clinical characteristics. 545 CH patients were screene...
Source: Journal of Molecular Neuroscience - April 18, 2024 Category: Neuroscience Source Type: research
Neuroprotective Effect of Sterculia setigera Leaves Hydroethanolic Extract
AbstractPlants are a valuable source of information for pharmacological research and new drug discovery. The present study aimed to evaluate the neuroprotective potential of the leaves of the medicinal plantSterculia setigera. In vitro, the effect ofSterculia setigera leaves dry hydroethanolic extract (SSE) was tested on cultured cerebellar granule neurons (CGN) survival when exposed to hydrogen peroxide (H2O2) or 6-hydroxydopamine (6-OHDA), using the viability probe fluorescein diacetate (FDA), a lactate dehydrogenase (LDH) activity assay, an immunocytochemical staining against Gap 43, and the quantification of the expres...
Source: Journal of Molecular Neuroscience - April 17, 2024 Category: Neuroscience Source Type: research
Integrating Multi-omics Data for Alzheimer ’s Disease to Explore Its Biomarkers Via the Hypergraph-Regularized Joint Deep Semi-Non-Negative Matrix Factorization Algorithm
AbstractAlzheimer ’s disease (AD) is a progressive and irreversible neurodegenerative disorder. Its etiology may be associated with genetic, environmental, and lifestyle factors. With the advancement of technology, the integration of genomics, transcriptomics, and imaging data related to AD allows simultaneous expl oration of molecular information at different levels and their interaction within the organism. This paper proposes a hypergraph-regularized joint deep semi-non-negative matrix factorization (HR-JDSNMF) algorithm to integrate positron emission tomography (PET), single-nucleotide polymorphism (SNP), and gene ex...
Source: Journal of Molecular Neuroscience - April 15, 2024 Category: Neuroscience Source Type: research
