Molecular Neurobiology最新文献

Perimenopausal depression is often accompanied by metabolic disorders, which have long-term harmful effects on women's physical and mental health. Quercetin, a kind of phytoestrogen, has anti-inflammatory, antioxidant, and nerve-protective effects, and can regulate various metabolic disorders. This study aims to investigate the effect of quercetin on hippocampal metabolic disorder in perimenopausal depression rat models based on untargeted metabolomics technology. The rat model of perimenopausal depression was established by ovariectomy combined with chronic unpredictable mild stress (OVX-CUMS). Rats with no difference in sucrose preference were randomly divided into four groups (n = 12): sham group, OVX-CUMS group (model group), model plus quercetin group, and model plus 17β-estradiol group. At the end of the experiment, hippocampal tissues were collected for untargeted metabolomics analysis, morphological analysis, and detection of related indicators. Metabolomics identified 23 differential metabolites in the model group, and the pathway analysis discovered hippocampus metabolic abnormalities including the metabolism of arachidonic acid metabolism, glycerophospholipid metabolism, and ubiquinone biosynthesis, accompanied by an increase in oxidative stress, inflammation, and lipid peroxidation indicators. At the same time, the morphological characteristics of ferroptosis occurred in the hippocampus in the model group. These abnormal changes were reversed by treatment with quercetin or 17β-estradiol. Quercetin can improve perimenopausal depression by regulating hippocampal metabolic disorders and reducing hippocampal ferroptosis in rats. These findings provide a new strategy for the use of quercetin in the prevention and treatment of perimenopausal depression.

Development of the multilayered cerebral cortex relies on precise orchestration of neurogenesis, neuronal migration, and differentiation, processes tightly regulated by microtubule dynamics. Mutations in tubulin superfamily genes have been associated with tubulinopathies, encompassing a spectrum of cortical malformations including microcephaly and lissencephaly. Here, we focus on γ-tubulin, a pivotal regulator of microtubule nucleation encoded by TUBG1. We investigate its role in brain development using a zebrafish model with somatic tubg1 mutation, recapitulating features of TUBG1-associated tubulinopathies in patients and mouse disease models. We demonstrate that γ-tubulin deficiency disrupts neurogenesis and brain development, mirroring microcephaly phenotypes. Furthermore, we uncover a novel potential regulatory link between γ-tubulin and canonical Wnt/β-catenin signaling, with γ-tubulin deficiency impairing Wnt activity. Our findings provide insights into the pathogenesis of cortical defects and suggest that γ-tubulin could be a potential target for further research in neurodevelopmental disorders, although challenges such as mode of action, specificity, and potential side effects must be addressed.

Spinal cord injury (SCI) is a severe neurological disorder that can lead to paralysis or death. Oxidative stress during SCI is a critical phase causing extensive nerve cell damage and apoptosis, thereby impairing spinal cord healing. Thus, a primary goal of SCI drug therapy is to mitigate oxidative stress. Curculigoside (CUR), a phenolic glucoside extracted from the dried root and rhizome of Curculigo orchioides Gaertn, possesses neuroprotective and antioxidant properties. This study aimed to investigate whether CUR effectively promotes the recovery of spinal cord tissue following SCI and elucidate its mechanism. We employed a hydrogen peroxide (H₂O₂)-induced PC12 cell model and an SCI rat model to observe the effects of CUR on oxidation and apoptosis. The results demonstrated that CUR significantly reduced the expression of apoptosis-related proteins (Bax and Caspase-3), Annexin V/propidium iodide (PI), and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), while increasing the expression of the anti-apoptotic protein Bcl-2. Moreover, CUR effectively enhanced levels of antioxidants (glutathione [GSH)] and decreased reactive oxygen species (ROS) in vitro. Furthermore, CUR facilitated functional recovery through its anti-apoptotic and anti-oxidative stress effects on spinal cord tissues in SCI rats. These effects were mediated via the Nrf2/NQO1 signaling pathway. Therefore, our study showed that CUR acted as an anti-apoptotic and anti-oxidative stress agent, inhibiting astrocyte activation and promoting neuronal reconstruction and functional recovery. These findings may contribute significantly to the development of SCI treatments and advance the field of SCI drug therapy.

Cerebral ischemia‒reperfusion injury (CIRI) is a type of secondary brain damage caused by reperfusion after ischemic stroke due to vascular obstruction. In this study, a CIRI diagnostic model was established by identifying hypoxia-related differentially expressed genes (HRDEGs) in patients with CIRI. The ischemia‒reperfusion injury (IRI)-related datasets were downloaded from the Gene Expression Omnibus (GEO) database ( http://www.ncbi.nlm.nih.gov/geo ), and hypoxia-related genes in the Gene Cards database were identified. After the datasets were combined, hypoxia-related differentially expressed genes (HRDEGs) expressed in CIRI patients were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the HRDEGs were performed using online tools. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were performed with the combined gene dataset. CIRI diagnostic models based on HRDEGs were constructed via least absolute shrinkage and selection operator (LASSO) regression analysis and a support vector machine (SVM) algorithm. The efficacy of the 9 identified hub genes for CIRI diagnosis was evaluated via mRNA‒microRNA (miRNA) interaction, mRNA-RNA-binding protein (RBP) network interaction, immune cell infiltration, and receiver operating characteristic (ROC) curve analyses. We then performed logistic regression analysis and constructed logistic regression models based on the expression of the 9 HRDEGs. We next established a nomogram and calibrated the prediction data. Finally, the clinical utility of the constructed logistic regression model was evaluated via decision curve analysis (DCA). This study revealed 9 critical genes with high diagnostic value, offering new insights into the diagnosis and selection of therapeutic targets for patients with CIRI. : Not applicable.

Exosomes, crucial extracellular vesicles, have emerged as potential biomarkers for neurological conditions, including schizophrenia (SCZ). However, the exploration of exosomal lipids in the context of SCZ remains scarce, necessitating in-depth investigation. Leveraging ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), this study aimed to characterize the lipidomic profile of serum exosomes from SCZ patients, assessing their potential as novel biomarkers for SCZ diagnosis through absolute quantitative lipidomics. Our comprehensive lipidomic analysis unveiled 39 serum exosomal lipids that were differentially expressed between SCZ patients (n = 20) and healthy controls (HC, n = 20). These findings revealed a profound dysregulation in lipid metabolism pathways, notably in sphingolipid metabolism, glycerophospholipid metabolism, and linoleic acid metabolism. Among these, seven exosomal lipids stood out for their diagnostic potential, exhibiting remarkable ability to differentiate SCZ patients from HCs with an unparalleled classification performance, evidenced by an area under the curve (AUC) of 0.94 (95% CI, 0.82-1.00). These lipids included specific ceramides and phosphoethanolamines, pointing to a distinct lipid metabolic fingerprint associated with SCZ. Furthermore, bioinformatic analyses reinforced the pivotal involvement of these lipids in SCZ-related lipid metabolic processes, suggesting their integral role in the disorder's pathophysiology. This study significantly advances our understanding of SCZ by pinpointing dysregulated exosomal lipid metabolism as a key factor in its pathology. The identified serum exosome-derived lipids emerge as compelling biomarkers for SCZ diagnosis, offering a promising avenue towards the development of objective and reliable diagnostic tools.

Naringin (NAR), a flavanone glycoside, occurs widely in citrus fruits, vegetables, and alcoholic beverages. Despite evidence of the neuroprotective effects of NAR on animal models of ischemic stroke, brain cell-type-specific data about the antioxidant efficacy of NAR and possible protein targets of such beneficial effects are limited. Here, we demonstrate the brain cell type-specific prophylactic role of NAR, an FDA-listed food additive, in an in vitro oxygen-glucose deprivation (OGD) model of cerebral ischemia using MTT and DCFDA assays. Using Bayes' theorem-based predictive model, we first ranked the top-10 protein targets (ALDH2, ACAT1, CTSB, FASN, LDHA, PTGS1, CTSD, LGALS1, TARDBP, and CDK1) from a curated list of 289 NAR-interacting proteins in neurons that might be mediating its antioxidant effect in the OGD model. When preincubated with NAR for 2 days, N2a and CTX-TNA2 cells could withstand up to 8 h of OGD without a noticeable decrease in cell viability. This cerebroprotective effect is partly mediated by reducing intracellular ROS production in the above two brain cell types. The antioxidant effect of NAR was comparable with the equimolar (50 µM) concentration of clinically used ROS-scavenger and neuroprotective edaravone. Molecular docking of NAR with the top-10 protein targets from Bayes' analysis showed the lowest binding energy for CDK1 (- 8.8 kcal/M). Molecular dynamics simulation analysis showed that NAR acts by inhibiting CDK1 by stably occupying its ATP-binding cavity. Considering diet has been listed as a risk factor for stroke, NAR may be explored as a component of functional food for stroke or related neurological disorders.

Stroke recurrence remains a critical challenge in clinical neurology, necessitating the identification of reliable predictive markers for better management and treatment strategies. This study investigates the interaction between lipoprotein-associated phospholipase A2 (Lp-PLA2) and platelets as a potential predictor for stroke recurrence, aiming to refine risk assessment and therapeutic approaches. In a retrospective cohort of 580 ischemic stroke patients, we analyzed clinical data with a focus on Lp-PLA2 and platelet levels. By using multivariable logistic regression, we identified independent predictors of stroke recurrence. These predictors were then used to develop a comprehensive nomogram. The study established diabetes mellitus, hypertension, low-density lipoprotein (LDL), Lp-PLA2 levels, and platelet counts as independent predictors of stroke recurrence. Crucially, the interaction parameter Lp-PLA2 * platelet (multiplication of Lp-PLA2 and platelet count) exhibited superior predictive power over each factor considered separately. Our nomogram incorporated diabetes mellitus, cerebral infarction causes, hypertension, LDL, and the Lp-PLA2 * platelet count interaction and demonstrated enhanced accuracy in predicting stroke recurrence compared to traditional risk models. The interaction between Lp-PLA2 and platelets emerged as a significant predictor for stroke recurrence when integrated with traditional risk factors. The developed nomogram offers a novel and practical tool in molecular neurobiology for assessing individual risks, facilitating personalized treatment strategies. This approach underscores the importance of multifactorial assessment in stroke management and opens avenues for targeted interventions to mitigate recurrence risks.

Electroacupuncture (EA) has been shown to ameliorate brain injury and protect against intestinal injury after ischemic stroke. These protective effects are closely associated with the enhancement of regulatory T (Treg) cell numbers and function in the intestine, as well as the inhibition of intestinal γδ T cell production and their migration to the brain. This study aimed to elucidate the potential mechanism by which EA regulates intestinal Treg cell differentiation after stroke. Sprague-Dawley rats were divided into three groups: the sham group, the middle cerebral artery occlusion (MCAO) group, and the MCAO plus EA (MEA) group. The MCAO model was generated by occluding the middle cerebral artery. EA was applied to Baihui (GV20) acupoint once daily. Samples were collected 3 days after reperfusion. Our results showed that EA reduced the inflammatory response in the brain and intestine after ischemic stroke. EA treatment increased the percentage of Treg cells in the small intestine of rats. EA increased the levels of SCFAs, while also inhibiting histone deacetylase activity (HDAC). Additionally, acetylated Foxp3 protein in the small intestine was increased after EA treatment. These results suggest that EA at GV20 alleviates brain and intestinal inflammatory injury in stroke rats, potentially through the enhancement of SCFA-mediated Foxp3 acetylation in Treg cells.

The gut microbiota, the complex community of microorganisms that inhabit the gastrointestinal tract, has emerged as a key player in the pathogenesis of neurodegenerative disorders, including Alzheimer's disease (AD). AD is characterized by progressive cognitive decline and neuronal loss, associated with the accumulation of amyloid-β plaques, neurofibrillary tangles, and neuroinflammation in the brain. Increasing evidence suggests that alterations in the composition and function of the gut microbiota, known as dysbiosis, may contribute to the development and progression of AD by modulating neuroinflammation, a chronic and maladaptive immune response in the central nervous system. This review aims to comprehensively analyze the current role of the gut microbiota in regulating neuroinflammation and glial cell function in AD. Its objective is to deepen our understanding of the pathogenesis of AD and to discuss the potential advantages and challenges of using gut microbiota modulation as a novel approach for the diagnosis, treatment, and prevention of AD.

Current research lacks comprehensive investigations into the potential causal link between mitochondrial-related genes and the risk of neurodegenerative diseases (NDDs). We aimed to identify potential causative genes for five NDDs through an examination of mitochondrial-related gene expression levels. Through the integration of summary statistics from expression quantitative trait loci (eQTL) datasets (human blood and brain tissue), mitochondrial DNA copy number (mtDNA-CN), and genome-wide association studies (GWAS) datasets of five NDDs from European ancestry, we conducted a Mendelian randomization (MR) analysis to explore the potential causal relationship between mitochondrial-related genes and Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Lewy body dementia (LBD). Sensitivity analysis and Bayesian colocalization were employed to validate this causal relationship. Through MR analysis, we have identified potential causal relationships between 12 mitochondria-related genes and AD, PD, ALS, and FTD overlapping with motor neuron disease (FTD_MND) in human blood or brain tissue. Bayesian colocalization analysis further confirms 9 causal genes, including NDUFS2, EARS2, and MRPL41 for AD; NDUFAF2, MALSU1, and METTL8 for PD; MYO19 and MRM1 for ALS; and FASTKD1 for FTD_MND. Importantly, in both human blood and brain tissue, NDUFS2 exhibits a significant pathogenic effect on AD, while NDUFAF2 demonstrates a robust protective effect on PD. Additionally, the mtDNA-CN plays a protected role in LBD (OR = 0.62, p = 0.031). This study presents evidence establishing a causal relationship between mitochondrial dysfunction and NDDs. Furthermore, the identified candidate genes may serve as potential targets for drug development aimed at preventing NDDs.