Common Neurological Disorder Research Articles

Combining Network Pharmacology and Transcriptomic Strategies to Explore the Pharmacological Mechanism of Total Ginsenoside Ginseng Root and Its Impact on Antidepressant Effects

Depression is one of the most common neurological diseases, which imposes a substantial social and economic burden on modern society. The purpose of this study was to explore the mechanism of total ginsenoside ginseng root (TGGR) in the treatment of depression through a comprehensive strategy combining network pharmacology, transcriptomics, and in vivo experimental validation. The Traditional Chinese Medicine Systematic Pharmacology (TCMSP) database and literature were used to collect the main components and targets of TGGR. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were applied to explore the underlying mechanisms. In addition, the chronic unpredictable mild stress (CUMS)-induced C57BL/6 mouse model was used to evaluate the antidepressant activity of TGGR. The results showed that TGGR improved depression-like behavior in mice and increased the decrease in serum 5-hydroxytryptamine (5-HT) and brain-derived neurotrophic factor (BDNF) levels caused by CUMS. Combined network pharmacology and transcriptomic analysis showed that the AMP-activated kinase (AMPK) signaling pathway mainly enriched the core target. Immunohistochemistry, Western blotting, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) were used to confirm whether TGGR exerts antidepressant effects by regulating this pathway. The results showed that TGGR has a regulatory impact on related proteins in the AMPK pathway, and the regulatory effect of TGGR on proteins was inhibited after the administration of related pathway inhibitors. In summary, total ginsenosides may regulate the AMPK signaling pathway and activate the sirtuin 1 (SIRT1) peroxisome proliferator-activated receptor-gamma coactivator 1-alpha (PGC-1α) pathway to have therapeutic effects on depression.

Electroencephalographic signatures of migraine in small prospective and large retrospective cohorts

Migraine is one of the most common neurological disorders in the US. Currently, the diagnosis and management of migraine are based primarily on subjective self-reported measures, which compromises the reliability of clinical diagnosis and the ability to robustly discern candidacy for available therapies and track treatment response. In this study, we used a computational pipeline for the automated, rapid, high-throughput, and objective analysis of encephalography (EEG) data at Cleveland Clinic to identify signatures that correlate with migraine. We performed two independent analyses, a prospective analysis (n = 62 subjects) and a retrospective age-matched analysis on a larger cohort (n = 734) obtained from the sleep registry at Cleveland Clinic. In the prospective analysis, no significant difference between migraine and control groups was detected in the mean power spectral density (PSD) of an all-electrodes montage in the frequency range of 1–32 Hz, whereas a significant PSD increase in single occipital electrodes was found at 12 Hz in migraine patients. We then trained machine learning models on the binary classification of migraine versus control using EEG power features, resulting in high accuracies (82–83%) with occipital electrodes’ power at 12 Hz ranking highest in the contribution to the model’s performance. Further retrospective analysis also showed a consistent increase in power from occipital electrodes at 12 and 13 Hz in migraine patients. These results demonstrate distinct and localized changes in brain activity measured by EEG that can potentially serve as biomarkers in the diagnosis and personalized therapy for individuals with migraine.

Animal Models of Febrile Seizures: Limitations and Recent Advances in the Field.

Febrile seizures (FSs) are defined as seizures occurring in children aged 6 months to 5 years with a background of elevated body temperature. It is one of the most common neurological disorders of childhood, emphasizing the importance of understanding the causes of FSs and their impact on the developing nervous system. However, there are significant limitations to the technologies currently available for studying the etiology and pathophysiology of seizures in humans. It is currently not possible to adequately capture the subtle molecular and structural rearrangements of the nervous system that can occur after seizures in humans. The use of animal models can be invaluable for these purposes. The most commonly used models in modern research are hyperthermic models in rats and mice aged 10-12 days. While these models can reproduce many of the characteristics of FSs, they have certain limitations. This review outlines the key considerations when working with models of FSs, provides an overview of current approaches to producing seizures in different model subjects, and presents a summary of key findings regarding morphological and functional changes in the brain and behavioral alterations that have been identified in studies using animal models of FSs.

Prevalence and Determinants of Complementary and Alternative Medicine Use among Children living with Epilepsy in Port Harcourt, Nigeria

Introduction: Epilepsy is a common neurologic disorder in children with its management centered on the use of anti-seizure medications (ASM). However, many children do not achieve seizure control despite being on the appropriate ASM. Hence, caregivers may seek complementary and alternative medicines (CAMs) therapies. The aim of this study is to investigate the prevalence and types of CAM used by children with epilepsy in a tertiary hospital in Port Harcourt, Nigeria, and the factors that determines their use. Methods: A descriptive cross-sectional study was conducted among children diagnosed with epilepsy and their caregivers. Participants were recruited using a convenient sampling method, a structured questionnaire was used to collect data. Descriptive statistic was performed using IBM SPSS while Pearson’s chi-square test was used to identify significant associations. Results: The prevalence of CAM use was found to be 84.3%, the use of CAM is a risk for poor adherence to ASM. Family members were the main influencers in the decision to use CAM, and the majority of parents/caregivers did not consult their children’s healthcare providers before incorporating these therapies. Significant factors influencing the use of CAM includes: being a male (P=0.01), higher seizure frequency (P=0.002), multiple ASM use (P=0.01), and the presence of comorbidities (P=0.04). The most common CAMs used were prayers, kernel or crude oil and scarifications. Conclusion: CAM use among children with epilepsy is common and is a cause of poor adherence to ASMs with its untoward effects. It is crucial for healthcare providers to proactively inquire about the use of CAM with caregivers during the management of childhood epilepsy and to educate them on the possible risks specifically regarding drug adherence, compliance and poor seizure control.

Brain structures as potential mediators of the causal effect of COVID 19 on migraine risk

Migraine is a common neurological disorder observed after coronavirus disease 2019 (COVID 19) infection. However, the intricate relationship between COVID 19 and migraine, particularly the potential mediating role of brain imaging-derived phenotypes (BIPs), remains unclear. This study used linkage disequilibrium score regression (LDSC), a bidirectional two-sample Mendelian randomization (MR) approach, and two-step MR analysis to investigate potential causal links. The robustness of the MR findings was corroborated through generalized summary-data-based Mendelian randomization (GSMR) and MR-Steiger methods. The results of the LDSC analysis revealed that the genetic correlation coefficient between COVID 19 traits and migraine was 0.0277 for infection (P = 0.0051), 0.1690 for hospitalization (P = 0.0016), and 0.1147 for severity (P = 0.0330). The genetic correlation coefficients between COVID 19 infection, hospitalization, severity and migraine and migraine with aura (MA) were 0.2654 (P = 0.0012), 0.2065 (P = 0.0043), and 0.1537 (P = 0.0230), respectively. Two-sample MR analysis revealed a significant causal association of COVID 19 infection (odds ratio [OR] 1.2502, P = 0.0083; OR 1.4956, P = 0.0084), hospitalization (OR 1.0689, P = 0.0138; OR 1.0919, P = 0.0208), and severity (OR 1.0644, P = 0.0072; OR 1.0844, P = 0.0098) with increased risk of migraine and migraine with aura (MA). Cortical thickness (CT), total surface area (TSA), and fractional anisotropy (FA) were identified as BIP intermediaries in the risk trajectory from COVID 19 to migraine. The TSA exhibited a more pronounced mediating effect than did CT. This study revealed that genetically predicted COVID 19 is associated with an increased risk of migraine and MA, and BIPs act as potential mediators of these causal relationships, offering insights into the neurobiological underpinnings of migraine in the context of COVID 19.

ChatGPT versus Google Gemini: a comparison to evaluate patient education guide created on common neurological disorders

IntroductionThis study assesses the effectiveness of AI tools, ChatGPT and Google Gemini, in educating the public about neurological conditions such as Bell’s palsy, Tetanus, and Headaches, and assess chatbot-generated patient guides based on readability and ease of understanding.MethodologyIn March 2024, the authors conducted a cross-sectional study to develop patient education brochures for Bell’s palsy, Tetanus vaccination, and Persistent Headache, leveraging AI models ChatGPT and Google Gemini. The brochures’ quality was assessed through readability, similarity, and a modified DISCERN score for reliability. Statistical analysis, performed in R software, compared responses from both AI models using unpaired T-tests. The correlation between ease score and reliability was explored using Pearson’s Coefficient of Correlation.ResultsThe study revealed no significant variances in word count, sentence count, or average words per sentence between the two AI tools. However, materials generated by ChatGPT exhibited significantly higher ease scores, highlighting its proficiency in creating more understandable content (p < 0.05).ConclusionsThis study finds ChatGPT outperforms Google Gemini in readability despite similar metrics. This suggests ChatGPT's potential superiority in creating more understandable patient education materials. As AI advances, it’s essential to research more tools and medical conditions to ensure they meet diverse patient education needs.

Magnetic Resonance Imaging Brain Findings Among Patients With Seizure Disorder In Port Harcourt Metropolis

OBJECTIVE: Seizure disorder is one of the most common chronic neurological disorders, affecting approximately 50 million worldwide. About 100,000 new cases are reported in Nigeria each year. To comprehend the prevalence of Magnetic Resonance Imaging (MRI) abnormalities and their correlation with seizures, local data is essential. METHOD: A retrospective study design was adopted to review clinical data and MRI reports of 122 patients at a tertiary medical imaging facility in Port Harcourt, Rivers State between January 2015 and January 2023. Demography, image findings, and the relationship between the MRI findings, age, and sex were data obtained and analysed using descriptive and inferential statistics with the degree of significance set at p &lt; 0.05. RESULTS: This study involved 64 females and 58 males, aged 0 to 89 years. About 69 (57%) patients had normal brain MRI findings, while 53 (43%) were abnormal. The most common pathologies noted were cerebrovascular disorder 14 (11.48%), followed by white matter disease 13 (10.66%), and brain tumour 10 (8.20%). Age group 0-17 years had the highest number of pathological findings (20/53; 37%), followed by age group 36-53 years (11/53; 21%), and the age group 54-57 years (9/53; 17%). Age group spanning from 73 to 86 years, had the least of abnormal findings (4/53; 0.1%). No significant association existed between sex and MRI findings. CONCLUSION: Brain MRI findings were normal in majority of seizure patients; the most common findings were cerebrovascular abnormalities, white matter disease, and brain tumours respectively, which were more common in younger patients. The study emphasizes the significance of early MRI scans in identifying seizure-related brain pathologies, particularly in children and adolescents in their diagnostic workup of seizure disorder.

CNSC-19. ISCHEMIC STROKE DRIVES GLIOMA PROGRESSION BY REMODELING TUMOR-ASSOCIATED ASTROCYTES

Abstract Ischemic stroke and glioma are two deadly neurological disorders worldwide. Recent epidemiological studies reveal an increased risk of brain tumors, notably glioma, in patients with a history of stroke, resulting in a 10% co-occurrence. Comparative transcriptome analyses of brain samples collected from patients with common neurological disorders show that glioma is particularly enriched with stroke-associated gene signatures, especially in pathways related to their shared pathological features. These findings suggest a stroke-glioma interrelationship; however, it remains unknown how stroke alters the brain microenvironment to drive tumor progression. Here, we induced photothrombotic stroke in three mouse glioma models recapitulating multiple aspects of human glioma. Across all glioma models, we consistently observed that stroke increases tumor proliferation and infiltration towards stroke-affected regions, accompanied by reduced survival compared to sham control groups. Further analyses using single-cell RNA sequencing and spatial transcriptomic profiling in our stroke-glioma models reveal pronounced stroke-induced glioma microenvironment changes, among which tumor-associated astrocytes (TAAs) are most dramatically remodeled. Remarkably, we identified a unique stroke-induced astrocyte (SAA) at the tumor leading edge of the stroke-glioma group, characterized by diminished physiological astrocyte signatures and increased chromosomal and metabolic reprogramming. Among the top differentially expressed genes in SAA compared with TAA, the sodium-bicarbonate cotransporter Slc4a4 is interesting due to its enriched expression in TAA in both human and mouse gliomas, and it is significantly down-regulated at the infiltrating tumor edge. Consequently, we examine whether restoring astrocytic Slc4a4 expression rescues stroke-induced glioma progression. We found that astrocytic Slc4a4 overexpression reduces glioma growth and infiltration, accompanied by extended astroglial scar formation. Collectively, our study demonstrates that a subset of TAAs induced by stroke exacerbates glioma pathology, highlighting an indispensable astrocytic contribution to the stroke-glioma interaction.

Anomalies of ATP-dependent chromatin remodeling complexes and human neurodevelopmental genetic disorders

ATP-dependent chromatin remodeling complexes play crucial roles in various biological processes including enhancing local DNA accessibility, regulating gene transcription, and facilitating DNA replication and repair. Based on their functional structural domains, these complexes may be categorized into four families, including SWI/SNF, ISWI, CHD and INO80. Such families are vital factors for regulating gene expression and play pivotal roles in developmental processes. Variants of genes encoding the components of such complexes have been closely associated with human developmental disorders and neurodevelopmental genetic syndromes. This review has summarized the classification, fundamental functions and underlying mechanism of the ATP-dependent chromatin remodeling complexes, as well as common neurological genetic disorders due to variants of genes encoding the subunits of such complexes.

Association between serum folate levels and migraine or severe headaches: A nationwide cross-sectional study.

Migraine and severe headaches are common neurological disorders with significant societal impact. Previous research indicates a potential link between serum folate levels and migraine occurrence, yet there is a lack of sufficient relevant studies and more are required. This study aimed to determine the association between a severe headache or migraine and serum folate levels in large populations. Using data from the National Health and Nutrition Examination Survey, we conducted a cross-sectional study. Using multivariable logistic regression models, we investigated the association between serum folate and severe headache or migraine. In a subsequent subgroup analysis, several confounding factors were also explored to investigate the association between migraine and serum folate. A total of 13,351 individuals participated in the study, with 2742 reporting severe headache or migraine in the previous 3 months. Serum folate was negatively associated with severe headache or migraine (odds ratio [OR] = 0.5, 95% confidence interval [CI] = 0.28-0.89, P = .018). The stratified analysis revealed this association persisted among female (OR = 0.38, 95% CI = 0.18-0.82, P < .001), individuals aged 20 to 50 years (OR = 0.53, 95% CI = 0.28-0.99, P < .001), and non-Hispanic White participants (OR = 0.38, 95% CI = 0.17-0.87, P < .001). We found that greater levels of serum folate were significantly related to a decreased likelihood of migraine onset, especially among women, young and middle-aged populations, and non-Hispanic White participants. Further research is required to validate and expand upon our results.

An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection

Epilepsy is one of the most common neurological diseases globally (around 50M people globally). Fortunately, up to 70% of people with epilepsy could live seizure-free if properly diagnosed and treated, and a reliable technique to monitor the onset of seizures could improve the quality of life of patients who are constantly facing the fear of random seizure attacks. The current gold standard, video-EEG (v-EEG), involves attaching over 20 electrodes to the scalp, is costly, requires hospitalization, trained professionals, and is uncomfortable for patients. To address this gap, we developed EarSD , a lightweight and unobtrusive ear-worn system to detect seizure onsets by measuring physiological signals behind the ears. This system can be integrated into earphones, headphones, or hearing aids, providing a convenient solution for continuous monitoring. EarSD is an integrated custom-built sensing - computing - communication ear-worn platform to capture seizure signals, remove the noises caused by motion artifacts and environmental impacts, and stream the collected data wirelessly to the computer/mobile phone nearby. EarSD 's ML algorithm, running on a server, identifies seizure-associated signatures and detects onset events. We evaluated the proposed system in both in-lab and in-hospital experiments at the University of Texas Southwestern Medical Center with epileptic seizure patients, confirming its usability and practicality.

Herbal Extracts Exhibit Anti-Epilepsy Properties

Epilepsy refers to a group of persistent neurological illnesses characterized by seizures. It is a chronic brain disease that affects 50 million people in the world, being one of the most common neurological disorders. Developing countries account for over 90% of all epilepsy patients. Epileptic seizures are caused by aberrant, excessive, or hyper synchronized neuronal activity in the brain. The cause of most epileptic seizures is unknown. However, some people develop epilepsy as a result of a brain injury, stroke, brain tumor, or drug and alcohol abuse. Anti-seizure drugs remain the mainstay in the treatment of epilepsy and about 70% of epileptics become seizure-free when antiseizure medications are taken effectively. However, some of these medications have significant pharmacological interactions and undesirable side effects. Traditional utilization of plants extracts for treatment of epilepsy is widely practiced. Many plants extracts and herbal formulations have been studied to determine their efficacy in treatment of epilepsy. This paper presents a review on herbal extracts that have shown antiepileptic activity in animal models published in the last ten years (between 2014 and 2024). The study found that plant extracts from some 138 plant species belonging to 54 different plant families were evaluated for antiepileptic efficacy. The most studied plants belong to the Asteraceae family (19%) followed by Fabaceae (9%), Apiaceae (8%), Lamiaceae (8%), Apocynaceae (7%), Cucurbitaceae (3%), Euphorbiaceae (3%) and Rutaceae (3%). In most cases, the studies focused only on the crude extracts without any attempts to identify the antiepileptic compounds from the plants. The most commonly used model in the antiepileptic assays were found to be pentylenetetrazole and maximal electroshock models. The findings from this study confirm that plant extracts have significant efficacy that needs to be explored for antiepileptic formulation and drugs development. It is also necessary to perform bioassay guided phytochemical evaluation to isolate and characterize the antiepileptic principles.

The Lehigh Valley Health Network narcolepsy cohort: clinical and polysomnographic analysis of 304 cases.

We aimed to characterize clinical features, comorbidities and polysomnographic characteristics of a large cohort of patients with narcolepsy. We undertook a retrospective chart and polysomnographic review of all patients with a diagnosis of narcolepsy type 1 (NT1) or narcolepsy type 2 (NT2) seen within the Lehigh Valley Health Network between 2000 and 2022. We found 304 cases with a diagnosis of narcolepsy (52 NT1, 252 NT2), based on International Classification of Sleep Disorders, third edition criteria. Compared to NT2, patients with NT1 had younger diagnosis age (24.5 versus 27.4 years, p=0.03), shorter diagnostic gap (3.0 versus 4.6 years, p=0.002), more frequent sleep paralysis (55.8% versus 19.4%, p<0.0001) and hypnagogic hallucinations (46.2% versus 25.4%, p=0.003), and higher Epworth Sleepiness Scale (ESS) scores (17.8 versus 16.7, p=0.02). The most common comorbid sleep disorders were breathing disorders (17.4%) and insomnia (15.5%). Migraine was the most common neurological disorder. Depression was more common in NT2 than NT1 [12 (23.1%) versus 94 (37.3%), p=0.05]. On the Multiple Sleep Latency Test, patients with NT1 had more sleep onset REM periods (SOREMPs) than patients with NT2 (≥3 SOREMPs in 59.2% versus 26.9%, p<0.0001). Only in NT2, hypnagogic hallucinations and higher ESS scores were associated with higher numbers of SOREMPs (p=0.0277 and p=0.0179 respectively). This is one of the largest monocentric studies to date of patients with narcolepsy and confirms the frequent comorbidities of narcolepsy. Specific clinical characteristics and comorbidities may help differentiate NT1 from NT2.

Tandem mass tag-based proteomics reveals the antiepileptic mechanism of steroidal saponins from Anemarrhena asphodeloides in Kainic acid induced epileptic rat model.

Epilepsy (EP) is one of the most common neurological diseases in the world. Anemarrhena asphodeloides Bunge. (AA), as a typical heat-cleaning medicine, has been proven to possess the antiepileptic effect in clinical and experimental studies. Anemarrhena asphodeloides steroidal saponins (AAS) are main components. However, the therapeutic effects and underlying mechanisms of AAS against EP are not been fully elucidated. In this study, 63 steroidal saponins were discovered in AAS by UPLC-Q-TOF/MS analysis. Pharmacological and behavioral analysis demonstrated that AAS could significantly lower the Racine classification and reduce the frequency of generalized spike rhythm the rate of tetanic seizures in kainic acid-induced epileptic rats. Hematoxylin and eosin and Nissl staining-indicated AAS could significantly improve hippocampal injury and neuron loss in epileptic rats. TMT proteomic analysis discovered 26 different expressed proteins (DEPs), which were identified as the rescue proteins. After bioinformatic analysis, Heat Shock Protein 90 Alpha Family Class B Member 1 (Hsp90ab1) and Tyrosine 3-Monooxygenase (Ywhab) were screened as key DEPs and verified by western blotting. AAS could significantly inhibited the up-regulation of Hsp90ab1 and Ywhab in EP rats; these two proteins might be the key targets of AAS in treating EP.

A DISEASE-BASED PERSPECTIVE OF THE RELATIONSHIP BETWEEN NEUROINFLAMMATION AND IMPAIRED GLUCOSE METABOLISM

Neuroinflammation is a significant contributor to the pathogenesis of several central nervous system disorders including Alzheimer's Disease, Parkinson's Disease, Huntington's Disease, and amyotrophic lateral sclerosis. Neuroinflammation is the immune response of the central nervous system against central or peripheral abnormalities disturbed by foreign agents, molecules, metabolic activities, or various diseases. Astrocytes and microglia activation are the main activators of neuroinflammation. The polarization changes of these defender cells have some key roles in bodily metabolism as much as neuronal behavior. The blood-brain barrier is known as the first defender of brain parenchyma. Neuroinflammation disrupts blood-brain barrier integrity and may cause blood-brain barrier breakdown. Glucose is the main energy source of brain and glucose uptake is achieved through the blood-brain barrier. Altered glucose metabolism may have detrimental effects on brain functions and may cause brain disorders. Also, it has been suggested that neuroinflammation may have crucial roles in glucose metabolism. The distribution of the blood-brain barrier in vascular endothelial cells of neurons, astrocytes, and microglia contributes to the transport of glucose to the cells of brain. Microglia and astrocyte polarization are suggested as the two main underlying mechanisms in neuroinflammation. It’s obviously determined that neuroinflammation-caused neurodegenerative diseases are tightly linked with the brain insulin resistance and disrupted cerebral and peripheral glucose metabolism. However, there is lacking knowledge about glucose metabolism deficiencies and microglia/astrocyte polarization. Herein this review, we summarized the neuroinflammation and glucose metabolism with the most common neurological diseases and the possible effects of microglia/astrocyte polarization on glucose metabolism.

Evaluation of Neutrophil Gelatinase-Associated Lipocalin Levels in Children With Febrile Seizures: A Case-Control Study.

Febrile seizure (FS) is a common pediatric neurological disorder, which may be associated with hypoxia and kidney injury. We aimed to investigate serum levels of neutrophil gelatinase-associated lipocalin (NGAL) in children with FS. This case-control study included 50 children with FS, 50 febrile controls (FCs), and 50 healthy controls (HCs). We measured serum NGAL levels using a human enzyme-linked immunosorbent assay. Serum NGAL/creatinine values showed significant differences within and between study groups with the highest levels for the FS group (1382 ± 215), the middle for FCs (1133 ± 129), and the lowest for HCs (857 ± 97). None of the study participants had abnormal serum creatinine levels, and their values were comparable among the 3 study groups. In conclusion, children with FS may have increased serum NGAL levels despite normal serum creatinine, indicating that FS could contribute to subclinical renal injury without significant loss of excretory kidney function.

Necrostatin-1 as a Potential Anticonvulsant: Insights from Zebrafish Larvae Model of PTZ-Induced Seizures.

Epilepsy is a common neurological disorder affecting around 70 million people worldwide. Despite significant research and advancements in pharmaceutical therapies, the exact mechanisms underlying epileptogenesis remain unclear. As a result, current antiepileptic drug treatments are ineffective for approximately 30% of patients, providing only symptomatic relief. The epileptic process is influenced by the signaling of tumor necrosis factor alpha (TNFα), which affects neuronal excitability. The TNFα/TNFR1 signaling pathway and the role of RIPK1 in initiating inflammatory cell death pathways are well studied in human disorders. Dysregulation of RIPK1 is linked to inflammation and neurodegenerative diseases. Necrostatin-1 (Nec-1) selectively inhibits RIPK1 in various pathological conditions. The current study aimed to investigate the anticonvulsant properties of Nec-1 (a selective RIPK1 inhibitor) in PTZ-induced seizures in zebrafish larvae. Before the onset of seizures, zebrafish were treated with Nec-1 (15µM) for 24h at 6days post-fertilization (dpf), followed by exposure to 15mM of PTZ for 30min. Behavioral assessments were conducted to observe changes in locomotor activity. Additionally, c-Fos expression was measuredas an indicator of neuronal activation and analyzed mRNA levels of the astrocyte activation marker (GFAP) along with various inflammatory cytokines. Western blot analysis was conducted to evaluate GABAA receptor expression. Pretreatment with Nec-1 restored normal behavior and reversed the expression of c-Fos in zebrafish larvae induced by PTZ. Additionally, Nec-1 reduced the elevated mRNA expression of inflammatory cytokines and significantly suppressed TNF/TNFR1 signaling, thereby inhibiting the enhanced internalization of GABAA receptors. Our findings indicate that Nec-1 reduced the severity of PTZ-induced seizures in zebrafish by regulating behavior changes, suppressing inflammatory mediators, and enhancing the expression of GABAA receptors, suggesting potential anticonvulsant properties.

Beyond Pain: Innovative Approaches to Tension-Type Headache Management and Treatment

Introduction: Tension-type headache (TTH) is a common neurological disorder characterized by bilateral head pain and muscle tension, affecting up to 78% of the population. Despite its prevalence, TTH has historically received less attention than migraines. However, recent years have seen increased interest in understanding its pathophysiology and treatment options. This review comprehensively analyzes TTH management, covering non-pharmacological and pharmacological approaches to guide clinical practice and future research effectively. State of Knowledge: TTHs manifest as bilateral, pressing, encircling head pain, profoundly affecting individuals' quality of life. Recent years have witnessed increased interest in TTH understanding and treatment. Non-pharmacological interventions, including behavioral modifications, exercise, dietary adjustments, sleep hygiene, physical therapy, psychotherapy, and pharmacological treatments like over-the-counter medications, prophylactic drugs, psychedelics, and botulinum toxin A, have shown promise in alleviating symptoms. Conclusion: This review highlights the multifaceted management of TTH. Non-pharmacological interventions, including behavioral modifications and psychotherapy, offer symptom relief. Body awareness therapy, exercise, and psychotherapy benefit TTH symptoms and quality of life. Paracetamol, ibuprofen, and amitriptyline are standard treatments, with emerging options like psychedelics and botulinum toxin A. Personalizing treatment and understanding TTH mechanisms pose challenges. A multidisciplinary approach is essential for enhancing management and outcomes. More research is required to identify optimal treatments and long-term efficacy. Despite challenges, progress in TTH management brings hope for better patient care.

Neuropsychiatric Disorders and Burn Trauma: Insights From a Tertiary Care Hospital.

Burn injuries pose a significant risk for individuals with neurological disorders, particularly during altered states of consciousness. This study investigated the relationship between various neurological disorders and burn injuries in a tertiary care hospital setting. This prospective observational study was conducted over 24 months at a university-affiliated tertiary care hospital. Medical records of patients with burn injuries attributed to neuropsychiatric causes were analyzed. Data collected included demographic details, neurological cause, burn severity, anatomical distribution, and management. The study revealed a higher prevalence of burn injuries among females (47, 54.76%) compared to males (37, 45.23%). While there was no statistically significant difference in the duration of neuropsychiatric disorders between males (8.5 ± 2.8 years) and females (10.43 ± 3.94 years) (p = 0.321), epilepsy was the most common neurological disorder (56, 66.52%), followed by mental disability (15, 17.85%), dementia (6, 7.15%), cerebrovascular disorders (5, 5.95%), and Parkinson's disease (3, 3.57%). Females experienced a higher percentage of scald burns (26.19%) compared to males (29.76%) (p = 0.012) and a higher proportion of third-degree burns (24.4% vs. 11.9% in males) (p = 0.010). Anatomically, burns were most prevalent on the head and neck (26, 30.95% females vs. 14, 31.1% males) (p = 0.003), upper extremities (16, 19.04% females vs. 17, 20.23% males), and anterior trunk (18, 21.40% females vs. 11, 24.4% males). Common interventions included debridement and dressings (17, 31.1% females vs. 14, 20.23% males), tangential excision with split-thickness skin grafting (18, 21.40% females vs. 16, 19.04% males), and conservative dressings (9, 10.71% females vs. 5, 5.90% males). Females had a longer mean duration of hospital stay (13.65 days ± 4.68) compared to males (10.54 days ± 3.27). Neuropsychiatric disorders, particularly epilepsy, mental disability, and dementia, significantly contribute to burn injuries among affected individuals. This underscores the importance of targeted interventions in seizure management, home safety, and comprehensive medical care. Multidisciplinary collaboration and culturally informed strategies are essential for addressing this public health challenge effectively and improving patient outcomes.

Cannabis use disorder increases risk of large-artery atherosclerotic stroke and migraine with aura through mendelian randomization study

Observational studies have shown some association between cannabis use disorder (CUD) and neurological disorders, but their causal relationship is unclear. In this study, we tested the potential causal relationship between CUD and three common neurological disorders using two-sample Mendelian randomization (TSMR) and multivariate MR (MVMR) methods. Thirty-two genetic loci were extracted as exposure factors from the largest genome-wide association study (GWAS) summary statistics for CUD to date. TSMR results showed that genetic prediction of CUD with all stroke, ischemic stroke, large-artery atherosclerotic stroke, migraine with aura, and Alzheimer’s disease (AD) had a positive causal relationship (P < 0.05), which was not found in several other diseases. The association between CUD and stroke, ischemic stroke, and AD in the MVMR study may have been influenced by confounding factors (P > 0.05). Subgroup analyses highlighted a causal relationship between genetically predicted CUD and large-artery atherosclerotic stroke (OR = 1.169; 95%CI 1.030–1.328; P = 0.016) and migraine with aura (OR = 1.142; 95% 1.021–1.278; P = 0.020). Our further functional mapping and annotation enrichment analyses using FUMA suggest that the brain-gut axis may serve as another layer of explanation for the existence of an association between CUD and neurological disorders.