Current Neuropharmacology - Online First
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21 - 40 of 93 results
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MRS Perspectives: Neurotransmitter and Metabolic Alterations in Cognitive Decline and Mental/Neurological Disorders
Authors: Ruijuan Chen, Huimin Zhang, Lengjie Huang, Silin Liu, Huiquan Wang and Fei GaoAvailable online: 20 October 2025More LessCognitive function refers to the brain's ability to process information and perform various cognitive tasks. These include sustaining attention, acquiring knowledge, storing memories, executing complex functions, accurately expressing language, perceiving external stimuli, and maintaining spatial orientation. Numerous studies have demonstrated that good cognitive function is closely linked to the balance and normal function of neurobiochemical metabolites. Magnetic Resonance Spectroscopy (MRS), as a non-invasive and quantitative advanced neuroimaging technique, can accurately measure the concentration and distribution of neurobiochemical metabolites in the brain. This provides rich data and key insights for in-depth research on cognitive function and related clinical disorders. This paper comprehensively reviews MRS and its quantitative research on biochemical metabolites in the field of cognitive function. It aims to deeply evaluate the clinical value and significance of the metabolic substances involved in this technology for the early detection and diagnosis of mental and neurological diseases caused by cognitive decline. The goal is to provide useful references and inspiration for research and practice in this domain.
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Role of Traditional Chinese Medicine Formulations in Reducing Neuroinflammation and Oxidative Stress in Alzheimer’s Disease
Authors: Qi Qu, Yanfei Tong, Shengwu Liao and Shaogang QuAvailable online: 17 October 2025More LessAlzheimer’s disease (AD) is the most prevalent neurodegenerative disease among older people. AD can cause memory loss and neuropsychiatric abnormalities. AD pathogenesis is complicated. Oxidative stress and chronic neuroinflammation are believed to contribute to the occurrence and progression of AD. Oxidative stress refers to a harmful state of neurons caused by an impaired antioxidant system and abnormal accumulation of reactive oxygen species (ROS) in the brain of a patient with AD. Neuroinflammation often results from a series of harmful responses to neurons induced by the overactivated microglia and astrocytes, such as the secretion of proinflammatory cytokines and promotion of neuronal apoptosis. Several studies have demonstrated that inhibition of oxidative stress and neuroinflammation can alleviate AD symptoms, suggesting that they may serve as potential targets for drug development. Herein, we review the mechanism of oxidative stress and neuroinflammation. Additionally, we have summarized data from preclinical studies published between 2019 and 2024 that investigate traditional Chinese medicine (TCM) formulations used to treat AD through the modulation of oxidative stress and neuroinflammation. We have included information on the extracts, compounds, modified compounds, and novel delivery systems for TCM formulations and summarized the key mechanisms involved in their actions.
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Therapeutic Potentials of Anesthetics
Authors: Cheng Zhou and Ji HuAvailable online: 15 October 2025More Less
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Delivery of Nerve Growth Factor via Exosome Attenuates Neuropathic Pain in a Rat Model of Chronic Constriction Injury
Authors: Yangyi Li, Chengbo Chen, Changsheng Su, Shunyuan Li, Zhibin Wen and Yifan ZhengAvailable online: 08 October 2025More LessIntroductionThe nerve growth factor (NGF) is a crucial neurotrophic factor with the ability to induce neuronal differentiation. However, whether NGF-loaded exosomes (Exo-NGF) can alleviate neuropathic pain in chronic constriction injury (CCI) rats remains unclear.
MethodsA neuropathic pain model was established using CCI rats. The pain was assessed using the von Frey test and the hot plate test. Exo-NGF was collected from HEK293 cells transfected with an NGF plasmid. The diameter of Exo-NGF was determined using transmission electron microscopy. Protein levels of inflammatory factors, including IL-18, IL-1β, and TNF-α, were measured using enzyme-linked immunosorbent assay, and their mRNA levels were evaluated using qPCR. The NOD-like receptor family pyrin domain-containing protein 3 (NLRP3) protein levels were determined using immunostaining and Western blot.
ResultsNGF protein and mRNA were highly expressed in Exo-NGF. The mRNA in Exo-NGF was successfully delivered into neural stem cells and promoted their differentiation. Injection of Exo-NGF into the spinal dorsal horn significantly alleviated mechanical allodynia and thermal hyperalgesia. Additionally, Exo-NGF reduced levels of IL-18, IL-1β, and TNF-α. NLRP3 and its key components, including apoptosis-associated speck-like protein and caspase-1, were also reduced by Exo-NGF treatment in CCI rats.
DiscussionOur findings highlight the therapeutic potential of exosome-based NGF delivery for treating chronic pain conditions.
ConclusionExo-NGF significantly alleviates neuropathic pain by suppressing inflammation and NLRP3 activation.
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Protein Kinases in Alzheimer’s Disease: Pioneering Insights into Pathogenesis and Therapeutic Breakthroughs
Authors: Mohd Qasid Lari, Ajay Kumar, Astik Manju Ashesh, Deepak Kumar, Bhupendra Singh and Dileep KumarAvailable online: 08 October 2025More LessAlzheimer's Disease (AD) is an exhausting neurodegenerative condition marked by the build-up of abnormal protein aggregates in the brain and a progressive loss of cognitive function. The complicated role that protein kinases play in the pathophysiology of AD has come to light more and more in recent years. The symptoms of AD include memory loss, cognitive impairment, and neuronal malfunction. Many cellular processes, including synaptic plasticity, neuronal survival, and protein homeostasis, have been linked to protein kinases, a class of enzymes that control phosphorylation. The etiology of AD has been closely related to the dysregulation of protein kinases, including those implicated in the phosphorylation of tau and the formation of amyloid-beta. GSK-3, also known as glycogen synthase kinase, is one of the most studied protein kinases in Alzheimer's disease. It is known that GSK-3 phosphorylates tau protein, causing it to clump together and create neurofibrillary tangles. Moreover, GSK-3 activation increases the development of amyloid-beta, which furthers the disease's progression. Additional protein kinases, including Cyclin-Dependent Kinase 5 (CDK5) and calcium/calmodulin-dependent protein kinase II (CaMKII), have also been connected to tau phosphorylation and synaptic dysfunction in AD. Protein kinases play a crucial role in the pathophysiology of AD, extending beyond tau phosphorylation. Research has shown that Amyloid Precursor Protein (APP) processing is regulated by Protein Kinases A (PKA) and C (PKC), which affects the production and clearance of amyloid-beta. Furthermore, AD etiology involves oxidative stress, neuroinflammation, and mitochondrial dysfunction, all of which are regulated by protein kinases. This study will cover the effects of protein kinases in AD, focusing on their role in tau phosphorylation, an attribute of the disease. We will also address the role of protein kinase in the development of amyloid-beta, synaptic malfunction, and neuroinflammation.
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Lurasidone vs. Other Antipsychotics as Augmentation Strategies for Clozapine in Treatment-resistant Schizophrenia: An Observational Multicenter Prospective Study
Available online: 08 October 2025More LessIntroductionClozapine, after its introduction, reshaped the landscape of Treatment-Resistant Schizophrenia (TRS) treatment, becoming the first-line treatment for that condition. However, many patients fail to respond to this drug alone. Clozapine-resistant schizophrenia (CRS) is associated with a more severe clinical presentation than TRS, manifesting in exacerbated symptoms and significantly diminished quality of life. The complex nature of CRS has prompted the development of augmentation strategies, which most commonly include another antipsychotic. The present multicenter observational study aimed to assess and compare the efficacy of Lurasidone augmentation alongside clozapine versus other second-generation antipsychotic combinations in patients with a schizophrenia spectrum disorder.
MethodsA total of 45 patients with a diagnosis of a schizophrenia spectrum disorder and labeled as “treatment resistant” were included. Functional and psychometric assessments were made at the baseline, one month, and six months after the treatment. A linear mixed-effect regression was performed along with other appropriate statistical analyses.
ResultsA significant improvement over time was observed in the two groups for both the clinical and functional outcomes assessed, demonstrating the efficacy of a proper augmentation strategy in CRS management. Moreover, significantly lower psychiatric ward admissions were observed in the lurasidone group (p<.05).
DiscussionOur findings suggest that lurasidone augmentation in CRS offers significant improvements in psychopathological domains similar to alternative augmentation strategies.
ConclusionAlthough further studies are needed to confirm our findings, lurasidone’s favorable side-effect profile should be considered.
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In Vitro and In Vivo Evaluation of Kai-Xin-San Polysaccharides: Antioxidant, Anti-Inflammatory, and Anti-Alzheimer's Disease Activities
Authors: Yongchang Xiong, Lifen Zhou, Min Zhang, Jian Liang, Qin Zheng, Ying Chen, Zhinan Cai, Lide Yu and Jinbin YuanAvailable online: 07 October 2025More LessIntroductionAlzheimer's disease (AD) brings a considerable burden to families and society. Kai-Xin-San (KXS) is a traditional Chinese medicine formula used to treat AD with a good curative effect. The existing literature and our previous work suggest that KXS polysaccharides (KXS-P) may play an important role in the anti-AD effect of KXS. However, there is limited research available on the KXS-P and its potential anti-AD activities.
ObjectiveTo investigate the in vitro antioxidant, acetylcholinesterase (AChE) inhibitory effects, and anti-inflammatory activities of KXS-P, as well as to evaluate its anti-AD effect in vivo.
MethodsKXS-P was characterized using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), and high-performance liquid chromatography (HPLC). The in vitro antioxidant activity and AChE inhibitory effects were evaluated. The in vitro anti-inflammatory activity of KXS-P was assessed using LPS-stimulated RAW264.7 cells. The in vivo anti-AD effects of KXS-P were evaluated using a rat model induced by D-galactose and Aβ25-35. The pharmacodynamic experiments included general behavior, open field test, Morris water maze, laser Doppler flowmetry, histopathological analysis (Nissl and HE staining), enzyme-linked immunosorbent assay (ELISA), and immunohistochemistry.
ResultsKXS-P exhibited stronger antioxidant activity than single herb polysaccharides. KXS-P showed significant AChE inhibitory effects. KXS-P significantly inhibited the release of NO, TNF-α, IL-1β, and IL-6 in LPS-stimulated RAW264.7 cells. KXS-P effectively alleviated symptoms in AD model rats. Open-field tests and water maze tests demonstrated that KXS-P improved cognitive, learning, and memory functions in AD model rats. Laser Doppler flowmetry showed that KXS-P had a limited effect on cerebral blood flow in AD model rats. Nissl staining and immunohistochemistry of rat hippocampal tissue indicated that KXS-P protected hippocampal neurons. HE staining of rat colon revealed that KXS-P alleviated inflammation induced by intestinal flora imbalance.
ConclusionKXS-P exhibited potent anti-oxidation, anti-inflammatory activities and AChE inhibitory effects in vitro, as well as anti-AD effects in vivo. The anti-AD mechanism may be related to antioxidant effects, AChE inhibition, anti-inflammatory properties, and neuroprotection.
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Resveratrol Supplementation Modulates Endothelial Dysfunction in Alzheimer’s Disease (AD): In Vitro Effects on Human Aortic Endothelial Cells Exposed to AD Plasma
Available online: 06 October 2025More LessIntroductionIncreasing evidence indicates a connection between Alzheimer’s disease (AD) and endothelial dysfunction. Given the lack of a definitive cure for AD, the purpose of this research was to explore the impact of a short incubation with plasma samples obtained from 30 patients with sporadic AD and 21 age- and sex-matched control subjects on cultured human aortic endothelial cells (HAECs), as well as to assess the effects of resveratrol (RSV) supplementation to the plasma.
MethodsSpecifically, the study analyzed: the production of nitric oxide (NO) and peroxynitrite; the activities of superoxide dismutase (SOD) and Na+/K+-ATPase; membrane fluidity; and levels of thiobarbituric acid-reactive substances (TBARS).
ResultsWhen incubated with AD plasma, cells showed a decrease in NO levels, enzymatic activities, and membrane fluidity, as well as an increase in peroxynitrite and TBARS production, compared to those exposed to plasma from healthy controls. In contrast, supplementation with RSV-enriched plasma, reduced reactive oxygen species (ROS) levels, and enhanced SOD activity. RSV also improved endothelial function, by increasing membrane fluidity, Na+/K+-ATPase activity, and enhancing NO production and bioavailability, potentially benefiting cerebral perfusion.
DiscussionThough preliminary, our findings highlight the critical role played by vascular health in Alzheimer’s disease, and the potential impact of resveratrol in maintaining the endothelial integrity, thus mitigating the progression of AD .
ConclusionIn conclusion, our study supports the use of dietary natural compounds to reduce oxidative stress and prevent or reverse vascular endothelial dysfunction associated with AD.
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A Novel Network Pharmacology Strategy for Retrieving a Key Functional Component Group and Mechanisms in the Di-Huang-Yin-Zi Treatment of Parkinson's Disease
Authors: Qi Qu, Yanfei Tong, Yi Li, Han Zhang, Jianhua Yang, Zongwei Cai, Siqiang Ren, Daogang Guan and Shaogang QuAvailable online: 02 October 2025More LessIntroductionParkinson’s Disease (PD) is a common and difficult-to-cure chronic neurodegenerative disorder. Current medications often target a single pathway and can have certain side effects. In contrast, traditional Chinese medicine formulas, such as Di-Huang-Yin-Zi (DHYZ), with their multi-component and multi-target characteristics, offer potential advantages by addressing these limitations, making them worthy of in-depth study.
MethodsComponents of DHYZ were collected from public databases and literature. After screening, the remaining components underwent target prediction, and the predicted component-target pairs were used to construct the complex component-target network. A novel node importance algorithm, known as the fusion model, was applied to construct an effective space from the component-target network, thereby reducing redundancy. Meanwhile, the pathological genes were extracted from DisGeNET and GeneCards to judge the quality of effective space. The effective space was compared with other widely used network parameters to validate its efficiency, and the Key Functional Compound Group (KFCG) was inferred from the effective space. Finally, the protective mechanism of DHYZ was inferred based on the KFCG and was validated in the in vitro PD model.
ResultsCompared to other commonly used algorithms, the effective space identified by the fusion model more accurately represented the full spectrum of DHYZ’s targets and demonstrated stronger correlation with PD. Additionally, we utilized the component contribution ratio algorithm to identify the KFCG within the effective space. Through enrichment analysis, we hypothesized that KFCG may exert its anti-PD effects via the PI3K-Akt, MAPK, and AMPK pathways and validated these mechanisms in vitro.
DiscussionCollectively, the results of this study not only deepen our understanding of the therapeutic potential of DHYZ in the treatment of PD but also enhance the clinical translatability of DHYZ through formula optimization. However, this study has certain limitations. For instance, the pathogenic genes of PD were not incorporated into the network in this study, and the use of an undirected network may offer lower biological interpretability compared to a directed network.
ConclusionThis robust and precise algorithm allowed us to optimize Di-Huang-Yin-Zi. This provided preliminary insights into its potential molecular mechanisms for treating PD, laying a foundation for the secondary development of other formulas.
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Ginsenoside Rg2 Ameliorates Alzheimer's Disease by Alleviating Neuroinflammation in APP/PS1 Mice
Authors: Dilida Yeerkenbieke, Yue Guan, Jing Cui, Qianqian Zhang, Gong Wang, Yifa Zhou, Zhiping Li, Chunyue Wang and Di WangAvailable online: 26 September 2025More LessIntroductionGinsenoside Rg2 (GRg2), a naturally occurring triterpenoid derived from ginseng rhizomes, exhibits neuroprotective properties. Neuroinflammation is recognized as one of the key pathogenic mechanisms underlying Alzheimer's disease (AD). This research aims to investigate the beneficial effects of GRg2 on AD and explore its potential mechanisms.
MethodsIn APP/PS1 mice, cognitive and behavioral assessments were first performed. Subsequently, brain tissue analyses were performed using immunohistochemical analysis and Western blot. A combined analysis of the gut microbiome and metabolomics was conducted to explore potential mechanisms. Finally, key findings were further validated through immunofluorescence and enzyme-linked immunosorbent assay.
ResultsGRg2 enhanced learning, memory, and cognitive functions. And inhibits the deposition of β-amyloid and phosphorylated tau. GRg2 effectively inhibits the production of Bacteroides and Helicobacter. In addition, it reduced the levels of pyruvaldehyde and trimethylamine N-oxide, metabolites closely related to neuroinflammation. GRg2 effectively inhibited the activation of astrocytes and microglia in the brains of APP/PS1 mice, and also reduced the expression of neuroinflammatory mediators IL-6, IL-1β, and TNF-α.
DiscussionsThe findings of this study substantiate the neuroprotective efficacy of GRg2, providing a novel therapeutic strategy and theoretical foundation for natural product-based interventions against AD.
ConclusionGRg2 improves cognitive function and mitigates AD pathology, which is at least partially attributed to its regulation of gut microbiota and metabolites, as well as its anti-neuroinflammatory effects.
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Molecular Mechanisms of cGAS-STING Axis and Mitochondrial Dysfunction-Related Diseases in Humans: A Comprehensive Review
Authors: Xingtong Shen, Hantao Chen, Jishan Zheng, Yunyan Ma, Zhengzhen Tang, Hongqin Sun, Qian Zhang, Jidong Zhang and Tao SongAvailable online: 25 September 2025More LessMitochondria play a critical role in immune cell differentiation, activation, and the regulation of innate immune responses. The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway is a key mediator of cytosolic DNA sensing and contributes to a broad spectrum of pathological processes, including infectious diseases, sterile inflammation, cancer, and autoimmune disorders. STING is activated in response to cytosolic DNA during infection and can restrict translation in RNA virus-infected cells as part of the innate immune response. Studies have shown that mitochondrial dysfunction, particularly the release of mitochondrial DNA (mtDNA), can act as a potent trigger of cGAS-STING signaling, linking mitochondrial damage to immune activation. Additionally, this pathway intersects with autophagy, metabolic regulation, and cell death mechanisms. This comprehensive review summarizes current advances in understanding the cGAS-STING axis and mtDNA release in the context of mitochondrial dysfunction, with a focus on their roles in disease pathogenesis and potential as therapeutic targets. We highlight recent progress in the development of targeted interventions and emphasize the importance of elucidating the regulatory mechanisms underlying STING activation in various pathological conditions, including neuroinflammation, cancer, ischemia/reperfusion injury, and autoimmune diseases.
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Neural Circuit Mechanisms of General Anaesthesia Induction: Current Advances and Future Directions
Authors: Yanfang Yin, Yaxin Teng, Wenying Chi, Xinyuan Zhang, Haozhe Qiao, Xiaoyong Zhao and Meiyan SunAvailable online: 24 September 2025More LessGeneral anaesthesia is traditionally divided into three distinct stages: induction, maintenance, and recovery. However, much of the existing literature has primarily focused on elucidating the mechanisms involved in the recovery phase, yielding several notable advancements. It is essential to recognize, however, that the induction and recovery phases represent two distinct processes. Studies in the induction phase have mainly centred on the impact of inhalational and intravenous anaesthetics on neural circuits, particularly those in the cortical and subcortical nuclei, as well as their specific effects on various neurotransmitters. Yet, the precise neural circuit mechanisms underlying anaesthetic induction still require further exploration. General anaesthetics influence neural circuitry by targeting neurons in particular nuclei, with their effects varying according to the distinct properties of individual anaesthetic agents. During the induction of anaesthesia, both the cortex and subcortical nuclei are significantly involved, with the inhibition of the subthalamic nucleus considered a core mechanism underlying this process. Notably, the periventricular thalamus, as part of the thalamus structure, holds particular importance in regulating the loss of consciousness. Additionally, the spinal cord and peripheral nervous system may play a potentially important role during the induction phase of general anaesthesia. Gaining a deeper understanding of the mechanisms underlying anaesthetic induction could reveal potential neuroanatomical targets that elucidate the alterations in consciousness during this phase of general anaesthesia. Such insights are invaluable in the quest for more effective, precise, and controllable anaesthetic practices, thereby enhancing the selection and combination of anaesthetic agents.
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PGx-Based in silico Analyses Identifies the Interactive Role of Genes, Glucose Metabolism and Dopaminergic Dysfunctional Pathways with Chronic Cocaine Use and Misuse
Authors: Alireza Sharafshah, Panayotis K. Thanos, Albert Pinhasov, Abdalla Bowirrat, Colin Hanna, Kai-Uwe Lewandrowski, Christopher Rowan, Igor Elman, Mark S. Gold, Catherine A. Dennen, Edward J. Modestino, Rajendra D. Badgaiyan, David Baron, Brian Fuehrlein, Ashim Gupta, Jean Lud Cadet, Aryeh R. Pollack, Jag Khalsa, Milan Makale, Alexander P.L. Lewandrowski and Kenneth BlumAvailable online: 23 September 2025More LessIntroductionOur team conducted a pharmacogenomics (PGx) analysis to evaluate the interactions between cocaine, glucose metabolism, and functional connectivity using in-depth silico PGx methods.
MethodsUtilizing PharmGKB, we extracted PGx annotations related to cocaine, glucose, and dopamine (raw data). After filtering, we refined a list of 49 unrepeated, brain-expressed genes and examined their interactions in a protein-protein interaction (PPI) network through STRING-MODEL, identifying top candidate genes.
ResultsTargeting key protein-coding genes with the highest connectivity, we identified COMT, DRD2, and SLC6A3, along with their 17 connected genes. A deep dive into gene-miRNA interactions (GMIs) using NetworkAnalyst revealed that COMT, DRD2, and hsa-miR-16-5p have multiple interactions with OPRM1 and BDNF. Enrichment analysis via Enrichr confirmed that this refined set of 17 impacts dopamine function and are interactive with dopaminergic pathways. Notably, Substance Use disorders (SUD) were the most significant manifestation predicted for the interplays among these genes.
DiscussionReviewing all PGx annotations for the 17 genes, we found 4,665 PGx entries, among which 1,970 were significant, with a p-value above 0.045. These were ultimately filtered down to 32 potential PGx annotations excluded in association with “Cocaine,” “Glucose or Diabetes,” and “Dopamine”. Accordingly, 12 Pharmacogenes represented 32 PGx-associated with Cocaine, Glucose, and Dopamine, including DRD2, COMT, OPRD1, OPRM1, SLC6A3, CHRNA5, CNR1, CYP2C19, DBH, GABRA2, NOS1AP, and SYT1.
ConclusionThis in silico PGx analysis demonstrates strong, validated connections based on prior published data and robust computational predictions. Among the findings, the COMT gene was found to be the best-scoring gene here.
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Unraveling the Role of Perivascular Macrophages in Alzheimer's Disease: Insights from the Crosstalk between Immunometabolism and Ferroptosis
Authors: Xiaolei Miao, Wei Yue, Jinxu Wang, Jiahui Chen, Lei Qiu, Halisa Paerhati, Qin Zhou, Pengyi Li, Anshi Wu and Minhao ZhangAvailable online: 18 September 2025More LessIntroductionRecent evidence increasingly supports a potential role of Perivascular Macrophages (PVMs), a unique subpopulation of brain immune cells, in the pathogenesis of Alzheimer’s disease (AD). Strategically positioned at the brain-vasculature interface, PVMs sense the redox status, modulate immunity, and potentially influence ferroptosis—an iron-dependent form of regulated cell death increasingly implicated in AD. However, whether the involvement of PVMs in AD pathology specifically entails mechanisms related to the crosstalk between immunometabolism and ferroptosis, and the precise molecular pathways linking PVMs, immunometabolism, and ferroptosis to AD, remains unclear.
MethodsWe first obtained single-cell RNA sequencing data of PVMs from AD patients and control subjects via the GEO database, identified Differentially Expressed Genes (DEGs), and applied Mendelian Randomization (MR), with robustness validated via leave-one-out analysis to pinpoint key genes among the DEGs with causal relevance to AD. Next, we identified ferroptosis-related genes within these key genes and examined their associations with immune cell infiltration and immunometabolic signaling pathways, while also predicting their regulatory transcription factors to inform potential therapeutic strategies.
ResultsWe identified 149 DEGs in PVMs between AD and control groups, which were primarily enriched in immune and metabolic pathways. MR analysis established eight genes (ACSL1, SPATA6, RAB31, NIBAN1, HDAC4, GRAMD1B, GCC2, and DENND3) as causally and negatively associated with AD risk (IVW analysis identified all P < 0.05, with robustness confirmed by leave-one-out analysis), with ACSL1 being recognized as a known ferroptosis driver. Immune cell infiltration analysis revealed significant differences in monocyte and neutrophil proportions in AD, with DENND3 identified as the sole gene significantly correlated with monocyte abundance. The Key genes demonstrated distinct associations with immunometabolic pathways: GRAMD1B expression was positively associated with PI3K/AKT/mTOR signaling, whereas both NIBAN1 and SPATA6 showed enrichment in cells with high Notch signaling activity. ACSL1 exhibited robust associations with multiple pathways implicated in ferroptosis, including the IL-6/JAK/STAT3, interferon-γ, TGF-β, bile acid metabolism, and cholesterol homeostasis pathways, suggesting potential mechanisms that mediate the crosstalk between immunometabolism and ferroptosis. Transcription factor analysis highlighted shared regulation by CEBPD and the SP1/2/3/4 family, indicating convergent transcriptional control of these genes.
ConclusionThis study identifies eight key genes in PVMs that may protect against AD through mechanisms involving the interplay between immunometabolism and ferroptosis. Our findings provide novel insights into the function of PVMs in AD pathophysiology and suggest potential therapeutic targets for this devastating neurodegenerative disease.
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An Efficient Neuro-framework for Brain Tumor Classification Using a CNN-based Self-supervised Learning Approach with Genetic Optimizations
Authors: Paripelli Ravali, Pundru Chandra Shaker Reddy and Pappula PraveenAvailable online: 15 September 2025More LessIntroductionAccurate and non-invasive grading of glioma brain tumors from MRI scans is challenging due to limited labeled data and the complexity of clinical evaluation. This study aims to develop a robust and efficient deep learning framework for improved glioma classification using MRI images.
MethodsA multi-stage framework is proposed, starting with SimCLR-based self-supervised learning for representation learning without labels, followed by Deep Embedded Clustering to extract and group features effectively. EfficientNet-B7 is used for initial classification due to its parameter efficiency. A weighted ensemble of EfficientNet-B7, ResNet-50, and DenseNet-121 is employed for the final classification. Hyperparameters are fine-tuned using a Differential Evolution-optimized Genetic Algorithm to enhance accuracy and training efficiency.
ResultsEfficientNet-B7 achieved approximately 88-90% classification accuracy. The weighted
ensemble improved this to approximately 93%. Genetic optimization further enhanced accuracy by 3-5% and reduced training time by 15%.
DiscussionThe framework overcomes data scarcity and limited feature extraction issues in traditional CNNs. The combination of self-supervised learning, clustering, ensemble modeling, and evolutionary optimization provides improved performance and robustness, though it requires significant computational resources and further clinical validation.
ConclusionThe proposed framework offers an accurate and scalable solution for glioma classification from MRI images. It supports faster, more reliable clinical decision-making and holds promise for real-world diagnostic applications.
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Myocardial Inflammation as Key Mediator of Heart-brain Interaction After Myocardial Ischemia/Infarction: Mechanistic Exploration of Post-Myocardial Infarction Cognitive Dysfunction
Authors: Linhan Wang, Meng Mao, Hailong Bing, Wei Xu, Wangli Tian, Xuan Wang, Zhengyuan Xia and Qinjun ChuAvailable online: 15 September 2025More LessMyocardial Infarction (MI) is a severe cardiovascular event, causing not only substantial damage to the heart but also potentially exerting a profound impact on brain function through a complex cardiac-brain interaction mechanism. The pathological process of MI encompasses myocardial cell necrosis, inflammatory cell infiltration, and the release of a substantial amount of inflammatory mediators. Through the bloodstream, these myocardial mediators may traverse the Blood-Brain Barrier (BBB), eliciting a neuroinflammatory response that can lead to cognitive dysfunction. This article proposes a critical research direction: investigating whether MI mediates the effects of myocardial-derived mediators on the permeability of the BBB, as well as the potential consequences of these mediators on cognitive functions. This review is aimed at triggering future research to elucidate the underlying mechanisms governing heart-brain interactions after MI in order to facilitate the development of more effective cognitive protection strategies for patients with MI.
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Advances in the Mechanism of ceRNA Regulation in Postoperative
Authors: Qiang Liu, Lin-Hui Ma, Chen-Rui Zhou, Tian-Qi Chen, Wei-Feng Wu, Hui-Hui Miao, Yu-Qing Wu and Cheng-Hua ZhouAvailable online: 11 September 2025More LessPostoperative cognitive dysfunction (POCD) is a common central nervous system complication in elderly patients after surgery, characterized by cognitive changes, including impaired learning and memory, reduced attention, and mental disorders and personality changes in severe cases. Despite extensive research, effective targeted therapies remain elusive, underscoring the urgent need to elucidate their molecular mechanisms and identify novel therapeutic targets. Non-coding RNAs (ncRNAs), major transcription products of the human genome, are highly expressed in the central nervous system and play critical roles in regulating neuronal and synaptic complexity through interactions with other biomolecules. Notably, certain ncRNAs modulate gene expression networks by regulating miRNAs, a phenomenon known as the competing endogenous RNA (ceRNA) mechanism. In this review, we summarized and analyzed emerging evidence on ceRNA-mediated regulatory mechanisms in POCD pathogenesis, aiming to establish a foundation for future mechanistic exploration and therapeutic development.
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MAPT Haplotype Variation and Alzheimer’s Disease Risk: A Narrative Review with Focus on the Jordanian Population
Authors: Alaa A.A. Aljabali, Almuthanna K. Alkaraki and Mohammad A. ObeidAvailable online: 10 September 2025More LessIntroductionGenetic variations in the microtubule-associated protein tau (MAPT) gene play a central role in Alzheimer's disease (AD) pathogenesis. Two major MAPT haplotypes, H1 and H2, show differential associations with tau expression and AD risk. However, data from Middle Eastern populations remain limited, restricting our understanding of population-specific disease susceptibility patterns and therapeutic responses.
MethodsWe conducted a comprehensive literature review using PubMed, Scopus, and Web of Science databases. Search terms included “MAPT haplotype,” “Alzheimer's disease,” “H1 H2,” “tau pathology,” and “pharmacogenetics.” We analyzed peer-reviewed articles published between 2000 and 2024, focusing on studies reporting haplotype frequencies, MAPT expression levels, APOE interactions, and clinical outcomes. This review synthesizes published data without generating new experimental results.
ResultsThe H1 haplotype consistently associates with increased MAPT expression, tau accumulation, and elevated AD risk, particularly in APOE ε4 noncarriers. Conversely, the H2 haplotype appears protective, correlating with reduced tau burden and slower cognitive decline. Notably, recent reports reveal significant overrepresentation of the H2 haplotype in the Jordanian population compared to European and East Asian cohorts, where H2 frequency is substantially lower or absent. This distinct genetic architecture suggests altered regional AD risk profiles.
DiscussionsThe elevated H2 frequency in Jordan represents a unique population-specific genetic signature that may influence regional AD susceptibility patterns. These findings challenge current risk models predominantly based on European populations and suggest the need for population-tailored approaches in neurodegenerative disease research. The naturally H2-enriched Jordanian cohort provides an exceptional opportunity to investigate protective mechanisms against tau pathology.
ConclusionMAPT haplotype distributions show significant population variation with important implications for AD risk assessment and therapeutic targeting. The high H2 frequency in Jordan warrants integration into personalized medicine frameworks and population-specific disease models, potentially informing more effective regional prevention and treatment strategies.
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The Role of Gut Bacteria and Plasma Metabolites in Predicting Post-Stroke Depression in Patients with Acute Ischemic Stroke
Authors: Lulu Wen, Tong Si, Chuming Yan, Huixin Shen, Wancheng Zheng, Meihong Xiu and Miao QuAvailable online: 09 September 2025More LessIntroductionEarly diagnosis of Post-Stroke Depression (PSD) is challenging. This study aimed to identify possible biomarkers in gut microbiota and plasma metabolites within 72 hours after Acute Ischemic Stroke (AIS) to predict PSD occurring 2 weeks later.
MethodIn this study, 86 patients with AIS were observed within 3 days of stroke onset and followed up for 2 weeks. We collected the feces and plasma within 72 hours of AIS onset for 16S rRNA sequencing and liquid chromatography-mass spectrometry analysis, respectively.
ResultsAt the genus level, PSD patients at 2 weeks following a stroke had a higher relative abundance of Blautia, Eubacterium_hallii_group, Tyzzerella, and a lower abundance of Ellin6067, Massilia, Luedemannella, and Gemmataceae_others within 3 days of AIS onset. Meanwhile, when all metabolites in plasma collected within 72 hours after AIS onset were used to predict 2-week PSD, 31 altered metabolites were identified, of which 28 metabolites increased and 3 decreased, belonging predominantly to steroid and steroid derivatives, glycerophospholipids, fatty acyls, and prenol lipids. The Area Under the Curve (AUC) values for the clinical data, metabolic profiles, gut microbiota, and combined dataset were 0.664 (0.549,0.779), 0.739 (0.621, 0.857), 0.870 (0.781,0.960), and 0.955 (0.888,1), respectively.
DiscussionOur study identified potential biomarkers from clinical data, gut bacteria, and plasma metabolites that contribute to PSD. Within 72 hours after AIS, combining these biomarkers from all three sources showed preliminary ability to predict PSD at 2 weeks. Metabolites had the highest contribution, followed by gut bacteria and clinical data.
ConclusionA biomarker panel including metabolites, gut microbiota, and clinical data within 72 hours after AIS onset could preliminarily predict PSD 2 weeks later.
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A Decade of Research on C9orf72 in Frontotemporal Dementia (2014-2024): A Bibliometric Analysis of Global Trends and Hotspots
Authors: Miao He, Sheng Zeng, Zhenchu Tang, Lixia Qin, Weiqian Yan, Chunyu Wang, Hainan Zhang, Zhao Chen and Zhe LongAvailable online: 28 August 2025More LessIntroductionFrontotemporal dementia (FTD) is the third most frequent dementia and the leading dementia subtype in individuals under 65. The discovery of C9orf72 (chromosome 9 open reading frame 72) GGGGCC abnormal expansion is a major genetic cause of both FTD and amyotrophic lateral sclerosis (ALS), linking these diseases along a clinicopathological spectrum. This study aimed to depict the research landscape of C9orf72 in FTD over the past decade, track emerging research hotspots, and provide insights into under-researched areas.
MethodBased on the Web of Science database, a bibliometric analysis was conducted to explore publication trends, key contributors, funding sources, journal categories, co-authorship networks, and keyword co-occurrence, clustering, and bursts.
ResultsA total of 1,220 articles were identified, with sustained output of over 100 articles annually. The majority of contributions and funding support came from North America and Europe. Hot research themes included hexanucleotide repeats, nucleocytoplasmic transport, disease mechanisms, and therapeutic targets.
DiscussionNorth America and Europe were highly productive, supported by higher regional prevalence, genetic burden, and robust funding. Ploy-GR in cerebrospinal fluid has emerged as a diagnostic biomarker. Pathogenic mechanisms remain complex, involving both gain- and loss-of-function effects. Metformin and antisense oligonucleotides were considered as potential therapeutics. Further research is needed in underrepresented populations and on the translational potential of emerging molecular targets.
ConclusionThis study offers a comprehensive overview of current trends and future directions over the past decade in C9orf72-related FTD research, allowing researchers—particularly those new to the area—to quickly understand the current landscape.
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