Current Neuropharmacology - Online First
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1 - 20 of 67 results
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Neutrophil Extracellular Traps in Central Nervous System Diseases
Authors: Junang Zhu, Hui Zhu, Wanting Hou and Jing-yao LiuAvailable online: 22 October 2025More LessNeutrophil Extracellular Traps (NETs) are complexes containing DNA fibrils and antimicrobial peptides that are released by neutrophils in response to pathogen stimulation. At the time of their discovery, the neutrophil extracellular trap contained active substances such as Neutrophil Elastase (NE) and myeloperoxidase (MPO). Although NETs were initially thought to be a means for the innate immune system to fight microbial invasion, now they have been observed to have a broader impact throughout the body. In recent studies, NETs have been linked to several neurological disorders and have been found to have varying roles in a number of diseases. In addition to their role in thrombosis, NETs have been identified in various autoimmune diseases. NETs play a significant role in the body when they are produced at the correct time and place; however, when the generation and removal of NETs are out of equilibrium, there can be important implications for human health. Here, the impact of NETs is reviewed in various neurological disorders and their potential clinical applications.
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Impaired Glucose Metabolism in Young Patients with First-episode Schizophrenia Aged from 16 to 35 Years
Authors: Jing Yao, Nan Chen, Meihong Xiu, Fengchun Wu and Yuanyuan HuangAvailable online: 22 October 2025More LessBackgroundPrevious studies in drug-naïve, first-episode patients with schizophrenia (FES) suggest glucose metabolism differences in the early stage of psychosis. However, we have limited knowledge of abnormalities in glucose metabolism in young and drug-naïve FES patients.
MethodsA total of 162 drug-naïve patients with schizophrenia (aged from 18 to 35 years) and 110 age-, sex-matched healthy control subjects were enrolled. Fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and insulin resistance (HOMA-IR) index were measured in patients and control subjects.
ResultsWe found that young drug-naïve FES patients exhibited abnormal glucose metabolism compared with control subjects. Fasting insulin, fasting glucose, and HOMA-IR were higher in patients than in controls (all p<0.05). In addition, female patients had significantly higher fasting insulin levels and HOMA-IR than male patients (both p<0.05), as well as in the healthy controls. Binary logistic regression analysis further identified that smoking status, HOMA-IR, and HbA1c were the contributing factors to schizophrenia, after controlling for age and sex.
ConclusionThis study suggests abnormal glucose metabolism in young drug-naïve FES patients, highlighting that these glucose metabolic issues are present at the very early stage of the disease. The identification of abnormal glucose metabolism at the early stages of schizophrenia provides insights into the biological underpinnings of schizophrenia and may lead to more targeted interventions for patients in the early stages of the disease.
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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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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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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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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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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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Microglia-Neuron Interactions in Alzheimer’s Disease
Authors: Yujie Ma, Xinyue Wang, Minghuang Gao, Yeze Lin, Qini Chen, Hongyin Yang, Cong Yang and Qi WangAvailable online: 26 August 2025More LessAlzheimer's disease (AD) is a progressive disease characterized by significant cognitive decline, posing a substantial threat to life. Neuronal loss and dysfunction are responsible for the cognitive decline and behavioral disturbances observed in AD. Microglia are increasingly recognized for shaping the fate of neurons. However, the role of microglia-neuron interaction in neuronal degeneration of AD remains largely unclear. This review discusses microglia-mediated excessive synaptic pruning and microglia-neuron metabolic coupling in the neuronal degeneration of AD. It also summarizes the role of microglia-neuron interactions in classical pathogenic hypotheses such as the amyloid cascade, tau protein, neuroinflammation, and metal ions. It is found that microglia can serve as protectors of neurons, yet they also exacerbate neuronal damage under stress stimulation. This bidirectional modulation of microglia-neuron interaction provides a novel direction for rescuing AD neurons.
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Unraveling Complex Interactions Mechanisms Linking PTSD and Chronic Diseases
Available online: 21 August 2025More LessPost-traumatic stress disorder (PTSD) is a chronic and multifactorial psychiatric condition that is often underdiagnosed, particularly when associated with chronic diseases (CDs). These conditions arise from complex interactions among psychosocial, socioeconomic, epigenetic, immune, metabolic, and neurobiological factors. Current treatment options for PTSD and CDs, whether isolated or comorbid, remain suboptimal. Addressing the bidirectional relationship between PTSD and CDs is a pressing global public health challenge, necessitating a deeper understanding of the underlying molecular mechanisms. This review examines the interplay of stress-response and neurochemical factors in PTSD and CDs, highlighting how maladaptive stress responses to trauma can disrupt neurochemical pathways, contributing to the development of CDs, and vice versa. Despite this, a significant gap exists in the number of in vivo model studies that adequately mimic the comorbid symptoms of PTSD and CDs, hindering progress in elucidating shared cellular and molecular pathways. This limitation restricts therapeutic advancements. Therefore, a comprehensive understanding of the neurobiological dysfunctions in the brain and their crosstalk with the immune, cardiovascular, and endocrine systems is critical. Such insights will pave the way for individualized treatment strategies tailored to the unique profiles of patients with PTSD associated with CDs.
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Structural and Functional Determinants of ARIA-H Risk in Anti-Amyloid Monoclonal Antibodies: A Comparative Mechanistic Framework for Alzheimer's Immunotherapy Development
Authors: Dinghao An, Xinxin Zou and Yun XuAvailable online: 19 August 2025More LessIntroductionAmyloid-beta-targeting monoclonal antibodies (mAbs) for Alzheimer's disease frequently induce amyloid-related imaging abnormalities with hemorrhage (ARIA-H), yet systematic comparisons of ARIA-H incidence across therapeutic agents remain limited. Post-approval research prioritizes dosing over mechanism, leaving unresolved whether ARIA-H variations originate from intrinsic mAb properties. We address two gaps: comparative ARIA-H risk stratification among clinically available/investigational mAbs, and elucidation of structural/functional features influencing ARIA-H susceptibility.
MethodsA systematic comparison of seven mAbs (donanemab, aducanumab, bapineuzumab, lecanemab, gantenerumab, crenezumab, solanezumab) was conducted, analyzing clinical trial data and molecular characteristics.
ResultsARIA-H incidence ranked as follows (highest to lowest): donanemab > aducanumab > bapineuzumab > lecanemab > gantenerumab > crenezumab > solanezumab. Five mAb-specific determinants emerged: (1) Types of Aβ Binding: Enhanced clearance of mature amyloid plaques correlated with elevated ARIA-H risk. (2) Polymer binding Affinity: Reduced small oligomer-binding capacity predicted higher ARIA-H incidence. (3) Epitope location: N-terminal-targeting mAbs showed greater ARIA-H incidence vs. mid/C-terminal binders. (4) Fc region structure: IgG4-based constructs showed higher ARIA-H incidence than IgG1 analogs. (5) Clearance kinetics: Rapid attainment of amyloid reduction thresholds amplified ARIA-H incidence.
DiscussionWe identify a risk hierarchy for ARIA-H among anti-Aβ mAbs and link specific mAb biophysical properties—Aβ binding type, affinity for soluble oligomers, epitope specificity, Fc structure, and plaque clearance dynamics—directly to ARIA-H pathogenesis.
ConclusionThese findings establish a mechanistic framework for ARIA-H risk and provide concrete molecular predictors to guide antibody engineering strategies. Prioritizing mAbs with controlled amyloid clearance, C-terminal binding domains, and IgG1 frameworks may enhance therapeutic safety, advancing precision immunotherapy for Alzheimer's disease.
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Mitochondria as a Therapeutic Target in Neurodegeneration: Strategies for Restoring Cellular Homeostasis
Authors: Bartosz Twarowski, Iwona Piątkowska-Chmiel and Mariola HerbetAvailable online: 12 August 2025More LessAgeing is a complex biological process marked by a gradual decline in bodily functions at the cellular, tissue, and organ levels, resulting from molecular damage and environmental influences. It increases disease risk, particularly in older adults with neurodegenerative conditions characterized by progressive neuronal loss and neurological symptoms such as cognitive and motor impairments. Key mechanisms include abnormal protein accumulation, oxidative stress, neuroinflammation, and mitochondrial dysfunction. Disruption of cellular homeostasis prevents the maintenance of internal conditions such as pH and glucose levels. Mitochondria, known as the cell’s “powerhouses,” are essential for ATP production, DNA protection, and metabolic regulation, supporting cellular structures. Their dysfunction plays a crucial role in the progression of neurodegenerative diseases. Factors like chronic inflammation, ATP deficiency, excessive production of reactive oxygen species (ROS), and calcium imbalance leads to oxidative stress and neuronal damage, exacerbating neurodegeneration. Current therapies mainly focus on symptom relief, emphasizing the urgent need for new treatment strategies. Given the key role of mitochondrial dysfunction, therapies aiming to restore mitochondrial homeostasis are gaining increasing attention. Mitochondrial antioxidants such as MitoQ, MitoTEMPO, and SkQ1 have shown neuroprotective, anti-inflammatory, and antioxidant properties. Research into their therapeutic potential may lead to the development of effective drugs that restore mitochondrial function and improve quality of life of the patients.
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Inhibition of the P2Y2 Receptor Promotes Facial Nerve Function by Enhancing Neuron Autophagy
Authors: Xianmin Song, Yingna Gao, Minhui Zhu, Hongliang Zheng, Wei Wang and Shicai ChenAvailable online: 08 August 2025More LessObjectiveFacial nerve injury induces autophagy and apoptosis in facial nerve nucleus motoneurons of the CNS, impairing nerve regeneration and functional recovery. The function of P2Y2R after facial nerve injury remains to be determined. This study hypothesizes that inhibiting P2Y2R may play a protective role in facial nerve injury by modulating the autophagy signaling pathway.
MethodsAn in vivo mouse model of facial nerve crush injury was utilized in this study. Mice received either a P2Y2R agonist or antagonist through intrathecal injections of 10 μL/daily for 4 weeks. This study measured facial nerve function, examined fibrogenesis, and analyzed expression of autophagy regulatory proteins. In an in vitro experiment, NSC34 cells were treated with a P2Y2R agonist or an antagonist, and changes in the levels of phosphorylated PI3K, Akt, and mTOR, as well as autophagy regulatory proteins determined.
ResultsInhibition of P2Y2R significantly increased autophagy levels and enhanced facial nerve function. These protective outcomes were linked to the suppression of phosphorylated PI3K, Akt, and mTOR signaling pathways.
ConclusionThe study suggests that P2Y2R inhibition may improve facial nerve function by improving autophagy, making it a promising therapeutic approach for treating facial nerve injury.
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Betaine: A Promising Natural Product for Neurological and Psychiatric Diseases
Authors: Ying Zhang, Zhaojuan Ke, Jie Luo, Qibin Chen, Xin Jiang, Jialin Xiong and Linya DengAvailable online: 08 August 2025More LessNeurological and psychiatric diseases pose a considerable global burden. Exploring additional potential prevention strategies and therapies is ongoing. As a prevalent natural product and nutraceutical from food, betaine’s pharmaceutical applications suggest benefits for both health and disease in multiple organs. Recently, its efficacy on neurological and psychiatric health has been proposed and has drawn considerable attention. This review aims to provide an updated, critical, and comprehensive profile of the promising medicinal roles of betaine in these diseases. In addition to its well-known osmotic protection, due to methyl donation, it regulates metabolism, alleviates oxidative stress, and reduces inflammation. To manifest neurological and psychiatric health benefits, betaine acts by affecting gamma-aminobutyric acid associated with its transporters, related neurotransmitters, downstream and neurological pathways, and other specific mechanisms in the nervous system. Betaine demonstrates therapeutic potential against various neurological and psychiatric diseases, such as epilepsy, neurocognitive disorders (including Alzheimer's disease), Parkinson's disease, stroke, multiple sclerosis, traumatic brain injury, depression, anxiety, schizophrenia, autism spectrum disorder, sleep disorders, fetal alcohol syndrome, syringomyelia, neonatal brain injury, neuropathic pain, and motor dysfunction. Despite the promising role of betaine in the treatment, diagnosis, and prevention of neuropsychiatric disorders, much of the present evidence appears to be fragmentary. Further studies elucidating the underlying mechanisms and direct clinical applications are required to obtain a deeper understanding of betaine and its underutilized potential. Overall, this review highlights the potential of betaine as a promising agent with benefits for neurological and psychiatric diseases, aiming to offer clues to advance this field.
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The Cathepsin Family in Disease: From Molecular Mechanisms to Therapeutic Applications
Authors: Lorca Alzoubi, Yassmen Hamzat, Alaa Alqudah and Alaa A.A. AljabaliAvailable online: 08 August 2025More LessT4he cathepsin family of proteolytic enzymes is involved in the maintenance of major physiological processes, including protein degradation, immune modulation, tissue remodeling, and apoptosis. Members of the cathepsin family include cysteine, serine, and aspartic proteases, which are implicated in diverse cellular functions. Evidence for tissue-specific expression emphasizes the specialized functions of these enzymes in many organs. However, dysregulated cathepsin activity has been implicated in a wide range of pathological conditions, including, but not limited to, cancer, cardiovascular diseases, neurodegeneration, and autoimmune disorders. There is significant therapeutic potential for intervention, whereby specific inhibitors of certain cathepsins may offer promising strategies for disease management. Despite this promise, major challenges persist in designing inhibitors that avoid off-target effects while respecting the dual physiological and pathological roles of cathepsins. Structural similarities among family members and their context-dependent functions complicate precision targeting. This review identifies the emerging strategies including structure-guided design, cathepsin-cleavable delivery systems, and real-time imaging that are reshaping therapeutic approaches toward these complex enzymes. A structured web-based literature search was conducted using PubMed, Scopus, and Google Scholar employing keywords such as “cathepsins”, “therapeutic targeting”, “proteolytic enzymes”, and “disease pathways” to inform this review. As cathepsins continue to play a key role in health and disease, much research is warranted to determine their full therapeutic potential, which would represent a foundation for treatment options for various complex diseases.
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Mediterranean Pattern Diet in Multiple Sclerosis: A Review Focusing on Immunometabolites
Available online: 07 August 2025More LessMultiple Sclerosis (MS), the most common demyelinating disease of the Central Nervous System (CNS), is characterized in its pathogenesis by an interplay of mechanisms pertaining to aberrant immune response, acute and chronic inflammation, glial housekeeping, and neuron survival, ultimately resulting in demyelination, synaptic dysfunction, and neuroaxonal loss. Experimental models as well as epidemiological observations support the hypothesis of a role of diet in the disease onset, activity, and progression. It has been suggested that Western-type diets might be detrimental, while on the other hand, certain dietary regimens, like Mediterranean, low-fat, ketogenic, or intermittent fasting, might lead to disease amelioration, possibly through differential regulatory effects upon inflammation, immunity, and regenerative processes of neurons and glia. Under this perspective, immunometabolites, small intermediates including among the others citrate, itaconate, lactate, glutamate, glutamine, alfa-ketoglutarate, 2-hydroxyglutarate, fumarate, ceramides, whose turn-over reflects metabolic reprogramming of immune cells, might be viewed as significant regulators of cellular responses against either local or systemic noxious stimuli, both in the periphery and in the CNS. The present narrative review aims at summarizing current experimental and clinical evidence regarding the role of immunometabolites in shaping MS pathology, to address whether they could be relevant either as disease markers or therapeutic targets, and whether they might be differentially influenced by dietary approaches, especially by Mediterranean Pattern Diets (MPD).
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A Prospective Clinical Trial of Efgartigimod for New-Onset Generalized Myasthenia Gravis
Authors: Chi Ma, Jingyi Shen, Ying Zhu and Ruixia ZhuAvailable online: 06 August 2025More LessIntroductionNumerous studies have demonstrated that efgartigimod is effective in treating myasthenia gravis (MG) across various patient populations. However, there is limited evidence regarding its use in patients with new-onset acetylcholine receptor antibody-positive generalized MG (AChR-gMG). Therefore, this study aimed to investigate the real-world safety and effectiveness of efgartigimod in Chinese patients with new-onset anti-cholinergic receptor (AChR)- gMG.
MethodsThis prospective study was conducted in 29 patients with new-onset AChR-gMG, with a three-month follow-up. The Myasthenia Gravis Activities of Daily Living (MG-ADL) score, Quantitative Myasthenia Gravis score, prednisone dose, laboratory data, and adverse events were assessed at every follow-up visit.
ResultsAt 4, 8, and 12 weeks, the mean change in MG-ADL scores was 8.13 ± 3.66, 7.41 ± 4.22, and 6.37 ± 4.67, respectively. Compared with the baseline, 96% (28/29) of patients achieved an MG-ADL response (defined as a decrease of ≥2 points), with a mean response time of 0.81 ± 0.53 weeks (5.67 ± 3.71 days). After one cycle, 52% (15/29) of patients achieved minimal symptom expression (MSE), while 41% maintained MSE at 12 weeks. Moreover, 89% and 72% of MG-ADL responders sustained for 8 and 12 consecutive weeks, respectively. Additionally, patients with thymomatous MG exhibited a poorer response to efgartigimod and required two infusion cycles. All patients were able to reduce their daily steroid dose, and the mean daily prednisone dose decreased by 10.73 mg per day. The treatment was well tolerated, and a few mild adverse events were reported.
DiscussionThese results demonstrate the clinical significance of efgartigimod in patients with new-onset AChR-gMG, achieving rapid symptom relief and steroid reduction. Additionally, the potential of efgartigimod to serve as a bridge treatment, facilitating a steady transition to long-term conventional immunosuppressive therapy, was demonstrated. Due to limitations in this study, such as a small sample size, larger randomized controlled trials are needed to validate.
ConclusionOur study showed that efgartigimod is clinically beneficial and offers rapid symptom control in patients with new-onset AChR-gMG. A more aggressive application of efgartigimod in combination with corticosteroids may lead to a smoother therapeutic transition, which will further maintain favorable conditions.
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Advancing Alzheimer's Diagnosis with AI-Enhanced MRI: A Review of Challenges and Implications
Authors: Zahra Batool, ShanShan Hu, Mohammad Amjad Kamal, Nigel H. Greig and Bairong ShenAvailable online: 30 July 2025More LessNeurological disorders are marked by neurodegeneration, leading to impaired cognition, psychosis, and mood alterations. These symptoms are typically associated with functional changes in both emotional and cognitive processes, which are often correlated with anatomical variations in the brain. Hence, brain structural magnetic resonance imaging (MRI) data have become a critical focus in research, particularly for predictive modeling. The involvement of large MRI data consortia, such as the Alzheimer's Disease Neuroimaging Initiative (ADNI), has facilitated numerous MRI-based classification studies utilizing advanced artificial intelligence models. Among these, convolutional neural networks (CNNs) and non-convolutional artificial neural networks (NC-ANNs) have been prominently employed for brain image processing tasks. These deep learning models have shown significant promise in enhancing the predictive performance for the diagnosis of neurological disorders, with a particular emphasis on Alzheimer's disease (AD). This review aimed to provide a comprehensive summary of these deep learning studies, critically evaluating their methodologies and outcomes. By categorizing the studies into various sub-fields, we aimed to highlight the strengths and limitations of using MRI-based deep learning approaches for diagnosing brain disorders. Furthermore, we discussed the potential implications of these advancements in clinical practice, considering the challenges and future directions for improving diagnostic accuracy and patient outcomes. Through this detailed analysis, we seek to contribute to the ongoing efforts in harnessing AI for better understanding and management of AD.
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