Current Neuropharmacology - Online First
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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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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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Analyses of Nogo-Family Genes in Mouse and Human Microglia Omics Datasets Identify LINGO1 as a Candidate Drug Target in Alzheimer’s Disease
Available online: 30 July 2025More LessMicroglia are the innate immune cells of the brain. Recent single cell and nucleus sequencing along with other omics technologies are leading the way for new discoveries related to microglial function and diversity. The Nogo-signaling system is a prime target for investigation with these tools as it has previously been neglected in microglia. The Nogo-signaling system consists of approximately 20 proteins, including ligands, receptors, co-receptors, and endogenous inhibitors known for their neuronal plasticity restricting properties via RhoA and ROCK1/ROCK2 activation, and have recently been implicated in microglial function. Here, we explore expression patterns of Nogo-family genes in the mouse and human brain. In mice, we focus on brain cell type enrichment, patterns of expression in microglia from embryonic stages to adulthood, sex differences, and changes in expression in acute and chronic inflammatory contexts from publicly available RNAseq and RiboTag translational profiling datasets. We identified differential expression of Nogo-family genes across age, sex, and disease/injury in mice. To analyze human microglia, we utilize a new tool, the CZ CellxGene Discover, to aggregate 21 single cell sequencing datasets of human brain cells in Alzheimer’s (AD) and control patients. In humans, LINGO1 is highly enriched in human AD microglia, a previously undescribed finding. We used The Alzheimer’s Cell Atlas (TACA) to further verify if this enrichment correlates to disease state, severity of human AD diagnosis, or sex of patients. The current work provides a comprehensive analysis of Nogo-family genes in microglia and identifies LINGO1 as a potential therapeutic target for AD.
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Current Research Focus and Trends of Remimazolam: A Bibliometric Analysis of the 100 Most Cited Articles
Authors: Yunying Chen, Junting Wu, Huangyi Chen, Chenxing Lei, Dezhao Liu and Ying WangAvailable online: 24 July 2025More LessIntroductionRemimazolam is a novel benzodiazepine derivative with advantages such as prompt onset, short duration of action, fast recovery, and non-organ dependence. Numerous studies have been conducted on remimazolam. However, bibliometric analysis on high-quality and highly cited articles related to remimazolam is lacking. The objective of this article is to evaluate the current research status and prevailing trends regarding the most frequently cited articles on remimazolam, utilizing bibliometrics.
MethodsStudies related to remimazolam were searched in the Web of Science core database. The search period ranged from the inception of the database to April 2025, and 100 highly cited research articles were selected. The researchers gathered and analyzed pertinent data from the studies and subsequently conducted visual analysis utilizing VOSviewer and CiteSpace.
ResultsThe total number of citations for the top 100 highly cited studies was 6683, published between 2010 and 2024. China, the United States, and the United Kingdom contributed the majority of these studies. These studies were published in 47 different journals. The journal with the highest number of publications was the Journal of Anesthesia. The institution with the highest publication volume was PAION DEUTSCHLAND GMBH in Germany, and the author with the highest contribution was Schippers F. The pharmacokinetics, pharmacodynamics, safety, and efficacy of remimazolam were the main research directions and focuses in the field.
DiscussionOur analysis of the top 100 cited remimazolam papers reveals a rapidly advancing field. The surge in high-quality clinical studies confirms remimazolam's practical edge over older agents, such as propofol, particularly in offering better blood pressure stability for older patients and fewer breathing problems during procedures like endoscopy. While these advantages position it as a strong contender, important questions linger about its use in people with severe liver or kidney issues due to how it is broken down, and its effects on delirium remain unclear. Broadening research globally and focusing on these specific patient groups, as well as long-term safety, will be key to realizing remimazolam's full clinical potential.
ConclusionThis study analyzed the 100 most frequently referenced articles on remimazolam, providing valuable insights into the characteristics and focal areas of research related to this topic.
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Exogenous Melatonin as a Sleep-promoting Agent beyond its Chronobiotic Properties: A Scoping Review of its Effects on Key Sleep-wake Neurotransmitters
Available online: 22 July 2025More LessIntroductionExogenous melatonin (exo-MLT) is a sleep-promoting agent that modulates key sleep-wake neurotransmitters.
MethodsThis scoping review analyzed 623 studies retrieved from PubMed/MEDLINE and ISI/Web of Science, applying PRISMA methodology to ensure rigorous inclusion criteria. After screening, 58 original research papers were analyzed for exo-MLT's effects on gamma-aminobutyric acid (GABA), serotonin, dopamine, glutamine, norepinephrine, epinephrine, orexin, acetylcholine, adenosine, glycine, galanin, and histamine.
ResultsWe identified 20 studies on the GABAergic system, showing that exo-MLT enhances GABA activity through different mechanisms, promoting non-REM sleep and reducing stress-related hyperarousal. On serotonin, 16 studies revealed limited and variable effects depending on the dose and physiological conditions. Total 13 dopamine studies suggested that exo-MLT does not alter physiological dopamine turnover, restoring dopaminergic balance in pathological states. On the glutamatergic system, seven studies showed a compensatory role of exo-MLT on glutamate excitotoxicity. Six studies on norepinephrine highlighted exo-MLT's ability to regulate sympathetic activity. The orexinergic system was the focus of five studies, indicating exo-MLT's inhibitory action on orexinergic neurons, enhancing sleep quality and consolidation. Five studies investigated exo-MLT on the cholinergic system, revealing an enhancing effect on acetylcholine activity in physiological and pathophysiological conditions. Lastly, four studies exploring adenosine and glycine were inconclusive of the exo-MLT effect, while we could not find any data on histamine and galanin.
DiscussionThis review underscores exo-MLT's mechanisms beyond circadian regulation, offering therapeutic promise in sleep disorders associated with other neuropsychiatric conditions.
ConclusionExo-MLT’s interactions provide insights into its safety and non-addictive characteristics, supporting its integration into personalized sleep medicine.
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Resilience and Recalibration of Bibliometric Indicators in Neurosciences and Neuropharmacology Journals After COVID-19: A Longitudinal Rate of Change Analysis Using Mixed-Effects Models
Available online: 21 July 2025More LessIntroductionThe COVID-19 pandemic triggered unprecedented changes in the scholarly publishing landscape, particularly in biomedical fields such as Neurosciences and Neuropharmacology. Several journals experienced steep, short-term increases in citation metrics during 2020-2022. However, it remains uncertain whether these surges reflected a sustainable impact or temporary inflation. This study aimed to analyze post-pandemic bibliometric behavior by evaluating the Rate of Change (RoC) in key journal-level indicators from 2013 to 2023.
MethodsA retrospective longitudinal study was conducted on 233 neuroscience journals indexed in the Journal Citation Reports. Six indicators were analyzed: Journal Impact Factor (JIF), Eigenfactor Score, Immediacy Index, Article Influence Score, Cited Half-Life, and Total Citations. RoC was calculated for each metric on an annual basis. Mixed-effects models with random intercepts and slopes were constructed to evaluate longitudinal trajectories and identify changes associated with three defined periods: pre-pandemic (2013-2019), pandemic (2020-2022), and post-pandemic (2023). Subgroup analyses assessed journal quartiles and categories to explore variations in impact resilience.
ResultsThe pandemic period (2020-2022) showed significant increases in RoC for JIF (mean β = +4.85, p = 0.004), Immediacy Index (β = +6.22, p = 0.002), and Total Citations (β = +5.88, p < 0.001). These changes were more prominent in top-quartile journals and those classified under Neuropharmacology. In contrast, alternative metrics such as the Eigenfactor Score and Article Influence Score remained relatively stable across the same period. In 2023, most indicators exhibited a normalization trend, with JIF and Immediacy Index showing marked deceleration in RoC, suggesting a post-pandemic recalibration. Journals with sustained positive trajectories were primarily concentrated in high-impact clusters, with Current Neuropharmacology ranking among the top performers by RoC slope.
DiscussionThe findings demonstrate that the surge in citations during the pandemic was primarily transitory and varied across bibliometric indicators. Traditional metrics like JIF and Immediacy Index were more sensitive to systemic shocks, while influence-based indicators (Eigenfactor and Article Influence Score) showed higher temporal resilience. The application of RoC allowed for a nuanced interpretation of metric trajectories and minimized misinterpretation of short-term spikes. Limitations include reliance on publicly available data and potential lag effects in citation behavior not fully captured within the 10-year window.
ConclusionThis study reveals that pandemic-era citation inflation in Neuroscience journals was largely temporary and metric-dependent. RoC-based modeling offers a reproducible and adaptable approach for assessing the sustainability of bibliometric trends. These insights can help editors, funders, and academic institutions better understand journal performance, make informed decisions about research dissemination, and refine metrics-based evaluation frameworks in the post-pandemic publishing environment.
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Membrane Protein Modulators in Neuroinflammation
Authors: Ligang Chen, Zheng Zou, Chao Dang, Geyu Wang, Tingzhun Zhu and Guobiao LiangAvailable online: 17 July 2025More LessNeuroinflammation has emerged as a critical pathological process that significantly contributes to the development and progression of a wide range of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis. Recent advances in neuroscience have underscored the pivotal role of neuroinflammation not only in exacerbating these diseases but also in accelerating neuronal degeneration. The growing prevalence of these conditions worldwide, coupled with the limited efficacy of current therapeutic approaches, highlights the urgent need for new therapeutic strategies. Given the central role of neuroinflammation in disease progression, targeting the neuroinflammatory process offers a compelling opportunity for effective intervention. Membrane proteins are key regulators in cellular signal transduction and intercellular communication, and their dysregulation may trigger and sustain neuroinflammatory responses. Consequently, modulators of membrane proteins have emerged as promising candidates for managing neuroinflammation. Current research indicates that natural products and small-molecule compounds can modulate membrane protein activity, effectively mitigating excessive inflammatory responses and exhibiting potent anti-neuroinflammatory effects. This review systematically examines the classification and functional roles of membrane proteins in neuroinflammation, with a particular focus on the therapeutic potential of channel proteins, transporter proteins, and receptor proteins across various neurological conditions. The identification and development of membrane protein modulators present an innovative and urgent avenue for advancing anti-neuroinflammatory therapies, offering potential breakthroughs in treating these prevalent and debilitating diseases.
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Use of Single Prolonged Stress to Model Post-traumatic Stress Disorder in Rodents: What We Found and Where to Next?
Authors: Keke Ding, Cunbao He, Shaojie Yang, Jingji Wang and Guoqi ZhuAvailable online: 17 July 2025More LessPost-traumatic stress disorder (PTSD) represents a grave and expansive mental illness, caused by experiencing or witnessing traumatic events that invoke profound feelings of helplessness, fear and anxiety. Reflecting the clinical features of PTSD, the single prolonged stress (SPS) model in rodents was developed to elucidate the pathogenesis and identify potential therapeutic interventions. This review aimed to deepen our understanding of the mechanisms and therapeutic methods for PTSD. We conducted a comprehensive literature search on PubMed and Web of Science using keywords such as “SPS”, “PTSD”, and “mechanisms”. Clinical and animal research, especially the exploration of the mechanisms and treatments, were included in this review. We identified a total of 327 articles. After removing duplicates and screening the full texts, we selected only 137 articles. Based on the literature, we examined the parallels and divergences between PTSD and the SPS model regarding symptomatic manifestations, affected brain regions, and molecular markers, demonstrating that the SPS model can effectively replicate PTSD-like behaviors in rodents. Guided by clinical research findings, we further synthesized the mechanisms by which SPS induces PTSD, focusing on the modulation of relevant signaling pathways and neural circuits. Additionally, we reviewed potential intervention strategies for PTSD using this model, encompassing both pharmacological and non-pharmacological therapies. This review offers significant implications for basic research rooted in the clinical characteristics of PTSD, suggesting that studies utilizing the SPS model could enhance our understanding of PTSD and aid in the identification of effective treatment strategies.
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Gut Microbiota and Bipolar Disorder: Advances in Translational Applications
Authors: Liujiao Yan, Shaoxia Zhang, Xiaobing Lu and Zezhi LiAvailable online: 17 July 2025More LessBipolar disorder is a severe, recurrent affective disorder that imposes significant pain and burden on both the patients themselves and the social economy. Recent studies have indicated the involvement of intestinal flora in emotional regulation, as well as its close association with the occurrence and progression of diseases such as bipolar disorder. Therefore, conducting comprehensive research on the impact of intestinal microflora and the “gut-brain axis” on bipolar disorder becomes imperative, offering novel insights into its etiology, diagnosis, and treatment options. Consequently, this article provides an overview of the role and potential mechanisms underlying intestinal microbiota in bipolar disorder.
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Venlafaxine and Delirium: Understanding the Association
Available online: 15 July 2025More LessDelirium represents a significant clinical, economic, and societal challenge, frequently arising in hospitalized patients due to multiple factors, including pharmacological triggers. Recognizing and preventing delirium is crucial to improving patient outcomes and reducing healthcare costs. This review focuses on the association between venlafaxine, a commonly used antidepressant, and delirium. We explore potential mechanisms, clinical presentations, and risk factors linked to venlafaxine-induced delirium, emphasizing the need for heightened awareness among clinicians. The findings underscore the importance of vigilance during drug initiation, dosage adjustment, or withdrawal to mitigate the risk of this neuropsychiatric condition.
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Neural Networks of Knowledge: Ontologies Pioneering Precision Medicine in Neurodegenerative Diseases
Available online: 14 July 2025More LessThe review focuses on the ways that ontologies are revolutionising precision medicine in their effort to understand neurodegenerative illnesses. Ontologies, which are structured frameworks that outline the relationships between concepts in a certain field, offer a crucial foundation for combining different biological data. Novel insights into the construction of a precision medicine approach to treat neurodegenerative diseases (NDDs) are given by growing advancements in the area of pharmacogenomics. Affected parts of the central nervous system may develop neurological disorders, including Alzheimer's, Parkinson's, autism spectrum, and attention-deficit/hyperactivity disorder. These models allow for standard and helpful data marking, which is needed for cross-disciplinary study and teamwork. With case studies, you can see how ontologies have been used to find biomarkers, understand how sicknesses work, and make models for predicting how drugs will work and how the disease will get worse. For example, problems with data quality, meaning variety, and the need for constant changes to reflect the growing body of scientific knowledge are discussed in this review. It also looks at how semantic data can be mixed with cutting-edge computer methods such as artificial intelligence and machine learning to make brain disease diagnostic and prediction models more exact and accurate. These collaborative networks aim to identify patients at risk, identify patients in the preclinical or early stages of illness, and develop tailored preventative interventions to enhance patient quality of life and prognosis. They also seek to identify new, robust, and effective methods for these patient identification tasks. To this end, the current study has been considered to examine the essential components that may be part of precise and tailored therapy plans used for neurodegenerative illnesses.
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Therapeutic Approaches Interfering with Nuclear Localization Signals: An Emerging Strategy for CNS-Related Diseases
Authors: Margrate Anyanwu, Matteo Giannangeli, Alessandra Gianoncelli and Giovanni RibaudoAvailable online: 14 July 2025More LessAlthough medicinal chemistry is constantly looking for new therapeutic approaches against pathological conditions affecting the central nervous system (CNS), such as neurodegeneration and cancer, this quest has not been fully successful yet. The lack of understanding of all the complex mechanisms underlying these conditions makes the identification of new effective drugs challenging. A wide variety of pathophysiological events are regulated at both nuclear and cytoplasmic levels, and in this context, targeting the shuttle system composed of the karyopherin superfamily and their cargoes may provide an alternative strategy. Molecular recognition is highly specific and strictly related to the presence of special “tag” regions, known as nuclear localization signals, that are localized in the amino acid sequences of cargoes. Importantly, their trafficking is involved in various pathophysiological processes, including CNS diseases. Curiously, although this system has been studied intensively, much remains to be discovered to date. Throughout the years, drug discovery allowed the identification of small molecules and peptides able to target karyopherin-cargo complexes to provide new potential pharmacological treatments. Indeed, the first examples of drug candidates targeting this mechanism that reached clinical trials are appearing in the literature. With this mini-review, this study aims at presenting an updated overview on the most recent reports investigating the use of the karyopherin shuttle system as a new therapeutic target especially for CNS-related diseases.
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Targeting the cGAS-STING Pathway: Modulating Inflammation, Oxidative Stress, and Autophagy for Novel Depression Therapies
Authors: Wen Ma, Shanshan Chu, Yumei Ma, Sutian Wang and Xuehai MaAvailable online: 11 July 2025More LessThe pathological mechanisms underlying depression, a prevalent mental disorder, remain only partially elucidated despite extensive research efforts. Recent advancements have underscored the pivotal roles of multiple biological processes in the onset and progression of depression, including inflammation, oxidative stress, and autophagy. Inflammation is associated with the disruption of neurotransmitter systems and neural plasticity, whereas oxidative stress contributes to neuronal damage and impaired brain function. Moreover, moderate autophagy is essential for maintaining neuronal health. Dysregulation of autophagy may lead to the accumulation of damaged proteins and organelles, which can exacerbate depressive symptoms. Among the various molecular pathways involved, the cGAS-STING signalling pathway has emerged as a key regulator of these processes. Traditionally known for its role in detecting cytosolic DNA and initiating innate immune defences against pathogens, the cGAS-STING pathway has recently been implicated in regulating inflammatory responses, oxidative stress levels, and autophagy in the central nervous system. This dual function positions the cGAS-STING pathway as a potential link between immune dysregulation and the neurobiological foundations of depression. This paper offers a systematic overview of existing studies on the role of the cGAS-STING pathway in inflammation, oxidative stress, and autophagy within the central nervous system, particularly in the context of depression. The review reveals how modulation of the cGAS-STING pathway may influence these critical biological processes and thereby ameliorate depressive symptoms. Furthermore, the review discusses the therapeutic potential of targeting the cGAS-STING pathway and offers promising research directions. Ultimately, this paper aims to provide novel insights and approaches for developing more effective treatments for depression.
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Emerging Therapeutic Targets for Spontaneous Intracerebral Hemorrhage
Available online: 11 July 2025More Less
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Assessment Value of Electromyography for Bortezomib-Related Peripheral Neuropathy
Authors: Yijun Shen, Zhen Zhang, Yuchen Liu, Siyuan Song, Tian Li, Jihong Dong, and and Guanru NiuAvailable online: 09 July 2025More LessIntroductionThis study investigates the relationship between National Cancer Institute Common Terminology Criteria (NCI-CTC) for grading bortezomib-induced peripheral neuropathy (BIPN) and objective motor/sensory nerve dysfunctions assessed by nerve conduction studies (NCS). It also evaluates the correlation between specific nerve conduction abnormalities and progression-free survival (PFS).
MethodsThirty-three patients with multiple myeloma developing peripheral neuropathy during bortezomib treatment were enrolled. Participants were grouped based on NCI-CTC toxicity scores (< 2, n=17; ≥ 2, n=16). Comprehensive NCS were performed, assessing compound muscle action potentials (CMAP), motor conduction velocities (MCV), sensory nerve action potentials (SNAP), and sensory conduction velocities (SCV) across ulnar, median, tibial, peroneal, sural, and superficial peroneal nerves. Correlation analyses were used to examine the association between NCS parameters and PFS.
ResultsPatients with higher NCI-CTC grades (≥ 2) exhibited significant reductions in motor and sensory nerve conduction parameters. Notably, the peroneal nerve showed significant decreases in CMAP (p=0.0059) and MCV (p=0.0223). The superficial peroneal nerve displayed a significant reduction in SCV (p=0.0189). A strong positive correlation was found between median nerve SNAP and longer PFS (r=0.558, p=0.001).
DiscussionThe findings indicate that higher clinical grades of BIPN (NCI-CTC ≥ 2) are associated with objective neurophysiological evidence of worsened nerve function, with the peroneal nerve being particularly affected. The correlation between median nerve SNAP and PFS suggests that NCS parameters could potentially serve as prognostic markers in patients with BIPN.
ConclusionBortezomib-induced neurotoxicity leads to significant impairments in both motor and sensory nerve conduction. Median nerve SNAP shows promise as a predictor for PFS, underscoring the potential value of NCS in monitoring neurotoxicity and guiding clinical management in patients receiving bortezomib.
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Peroxiredoxin 6 Alone or in Combination with Fingolimod Ameliorates EAE
Available online: 07 July 2025More LessIntroductionMultiple Sclerosis (MS) is characterized by the infiltration of leukocytes into the nervous tissue, and disruption of the Blood-Brain Barrier (BBB) is one of the main factors in the progression of MS and its model, Experimental Autoimmune Encephalomyelitis (EAE). Furthermore, some anti-lymphocytic drugs against MS may inherently produce BBB disruption as their side effect. This study hypothesized that drugs restoring the BBB may be useful for the treatment of MS and EAE, as well as for ameliorating the side effects of modern anti-lymphocytic drugs.
MethodsEAE was induced in SJL/J mice. EAE progression was evaluated by a severity score and a plasma cytokine profile, while a BBB condition was evaluated by the Evans dye method, Tight Junction Proteins (TJPs) content, and leukocyte infiltration.
ResultsThe mice with EAE demonstrated neurological symptoms, a cytokine response, and BBB deterioration, which was associated with upregulation of the NADPH oxidases NOX1 and NOX4 in the brain. Administration of the anti-lymphocyte drug fingolimod to EAE mice caused lymphopenia, improved animal health, enhanced the BBB function during the administration period, and decreased the pro-inflammatory response, but it was accompanied by a “withdrawal effect,” defined as a sharp increase in the IL-17 and IFN-gamma to levels higher than those in untreated animals, lymphocyte hyperactivation, worsening symptoms, and increasing BBB permeability after discontinuation of fingolimod. Administration of peroxiredoxin 6 (Prdx6) to EAE mice also improved BBB, decreased lymphocyte infiltration and NADPH oxidase expression, and ameliorated symptoms. Preliminary administration of Prdx6 before the fingolimod treatment eliminated the “withdrawal effect” of fingolimod and led to full recovery of the EAE mice. This Prdx6 effect was associated with the activation of anti-proliferative and pro-apoptotic signaling cascades in lymphocytes.
Discussion andConclusion: Both fingolimod and Prdx6 produced beneficial effects, while Prdx6 may be useful for ameliorating the side effects of anti-lymphocytic drugs. Accounting for literature data that discontinuation of MS treatment is very likely to lead to a severe MS rebound, a drug that prevents the rebound should be useful.
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Experimental Evaluation of QY-69: A Butyrylcholinesterase Inhibitor with Anti-Glioblastoma Efficacy
Authors: Kaixuan Wang, Ziyao Lu, Yuetong Duan, Siyu He, Weiping Lyu, Qinghong Liao, Qi Li, Xuehong Chen and Huanting LiAvailable online: 07 July 2025More LessIntroductionGlioblastoma multiforme (GBM) is the most aggressive malignant primary brain tumor, characterized by poor prognosis. Moreover, cognitive impairment from the tumor and its treatments compromises patients' quality of life. Butyrylcholinesterase (BChE) inhibition enhances cognitive function. Notably, BCHE is overexpressed in GBM tissues; its downregulation suppresses tumor cell proliferation, migration, and invasion. This study aimed to identify a BChE inhibitor with dual functionality: anti-GBM efficacy and cognitive protection via modulation of neuroinflammation.
MethodsQY-69 was identified from an in-house BChE inhibitor library through cytotoxicity-based screening. Its anti-GBM effects were evaluated through colony formation, wound healing, and transwell assays. Orthotopic GBM mice were treated with QY-69 orally for 15 days. Tumor progression, cognitive function (Morris water maze), and neuroinflammation (microglia and astrocyte immunofluorescence) were analyzed.
ResultsQY-69 exhibited significant antiproliferative activity at micromolar concentrations. In vitro assays demonstrated significant inhibition of GBM cell growth, migration, and invasion. Behavioral impairment in mice was improved, and the activation of astrocytes and microglia in peritumoral tissues was reduced, indicating a decrease in neuroinflammation.
DiscussionQY-69 demonstrated dual therapeutic potential in GBM by inhibiting tumor progression and alleviating cognitive impairment. However, its precise molecular mechanisms remain to be elucidated. Future research should employ transcriptomic and proteomic approaches to elucidate the molecular basis of its anti-GBM activity.
ConclusionQY-69, a BChE inhibitor, exhibits potent anti-GBM activity and confers cognitive protection, positioning it as a promising dual-action therapeutic candidate. By inhibiting tumor progression and reducing neuroinflammation, it may enhance both survival and quality of life in GBM patients.
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In vivo Effects of Disease-modifying Therapies on Immunological Subsets in Patients with Relapsing-Remitting Multiple Sclerosis
Available online: 04 July 2025More LessBackgroundDisease-modifying therapies (DMTs) are aimed at controlling Multiple Sclerosis disease by modulating or suppressing the immune system. However, there is limited data on changes in immune cell subsets induced by these treatments.
ObjectiveTo assess differences in myeloid, T-, and B-cell subsets in the peripheral blood of relapsing-remitting MS (RR-MS) patients treated with different DMTs.
MethodsThis longitudinal study enrolled all RR-MS patients treated with cladribine (CLAD), dimethyl fumarate (DMF), and natalizumab (NTZ) between July 2022 and September 2022. All patients underwent blood sample collection with flow cytometry at baseline (T0; before starting treatment) and 24 ± 3 months after treatment initiation (T1).
ResultsForty-three RR-MS patients (83.7% women; mean age 34.7 ± 11.1 years; median EDSS: 2.0, IQR: 1.0-2.8) were enrolled. Among them, 24 (55.8%) were treated with DMF, 10 (23.3%) with NTZ, and 9 (20.9%) with CLAD. At T1, patients assigned to CLAD showed a reduction in B-cell memory-switched (p = .029), B-cell memory-unswitched (p = .08), and B-cell naïve resting (p = .029). Additionally, the T and NK cell compartments showed a reduction in the percentage of CD3/CD4/CD127/CD45RA/CD161+ (p = .057). In the NTZ group, a significant decrease in the percentage of CD3/CD4/CD127/CD45RA/CD161+ (p = .029) was observed. A reduced percentage of mature naïve B cells (p = .057) and B memory-unswitched (p = .059) was observed in the DMF group. No significant differences were found in the myeloid subsets.
ConclusionDMTs induced significant modifications in B- and T-cell compartments. Characterizing these immunologic changes could deepen our understanding of the mechanisms of action of different therapies.
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Maternal Multiple Sclerosis and Offspring’s Developmental and Behavioral Profile: A Case-control Study
Available online: 04 July 2025More LessIntroductionMaternal chronic immune and inflammatory conditions may predispose newborns to atypical developmental trajectories, identifying pregnancy as a key period for the etiopathogenesis of neurodevelopmental disorders. The possible long-term impact of maternal multiple sclerosis (MS) on the offspring’s cognitive and behavioral development and its pharmacological treatment during pregnancy is mostly unknown. This study aims to delineate the cognitive and behavioral profile of offsprings exposed to maternal MS, untreated or treated with Natalizumab throughout pregnancy, in comparison to a control group.
MethodsWe retrospectively enrolled 39 children (23 males; 16 females; mean age 45.82 ± 35.46 months) exposed to maternal MS, untreated or treated with Natalizumab throughout pregnancy, and 36 children (24 males; 12 females, mean age 38.03 ± 21.52 months) of healthy mothers. All offspring underwent a standardized evaluation of their intellectual or developmental quotient, adaptive functioning, and behavioral issues, including symptoms of autism.
ResultsThe clinical profile of the included offspring was characterized by an adequate cognitive profile and a good level of adaptive skills (MS offspring: Griffiths III mean total DQ (N = 30) 114.57; WISC-IV mean Full IQs (N= 9) 115.44; mean ABAS GAC 97.28/Control offspring: Griffiths III mean total DQ (N = 31) 105.42; WISC-IV mean Full IQs (N= 4) 119.25 ± 11.32; mean ABAS GAC 97.82 ± 21.4). Furthermore, no significant behavioural problems or autism symptoms emerged in the entire group, regardless of MS treatment.
ConclusionOffspring's developmental and behavioral phenotypes do not appear to be influenced by maternal treatment with Natalizumab until late pregnancy, nor by maternal variables directly related to MS (age at the time of MS diagnosis, disease duration, and severity).
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