Differential Analysis of Blood Routine Examination Parameters in Patients with Upper Gastrointestinal Bleeding and Lower Gastrointestinal Bleeding.

Background: This study addresses the critical need for differentiating between upper and lower gastrointestinal bleeding by focusing on blood routine parameters to enhance diagnostic precision. Objective: This study aims to identify and compare specific blood routine parameters to determine their efficacy in distinguishing between upper and lower gastrointestinal bleeding for improved clinical decision-making. Methods: This retrospective study analyzed 119 patients with gastrointestinal bleeding (GIB) admitted to our hospital between January 2017 and June 2020. Among them, 86 were diagnosed with upper GIB (UGIB) and 33 with lower GIB (LGIB). After admission, peripheral blood samples were collected for a comprehensive blood routine examination, including white blood cell count (WBC), red blood cell count (RBC), hemoglobin (Hb), platelet count (PLT), blood urea nitrogen (BUN), creatinine (Cr), and BUN to Cr ratio (BUN/Cr ratio). Differences in blood routine parameters were compared between the UGIB and LGIB groups. Receiver Operating Characteristic (ROC) curve analysis was conducted to assess the efficacy of blood routine examinations in differentiating between UGIB and LGIB. Results: The study revealed no significant differences in WBC and Cr levels between LGIB and UGIB patients (P > .05). However, UGIB patients exhibited statistically lower levels of RBC, Hb, and PLT, along with higher BUN and BUN/Cr ratio levels compared to LGIB patients (P < .05). Pearson correlation coefficient analysis indicated an inverse correlation of BUN/Cr with RBC, Hb, and PLT in GIB patients and a positive association between BUN/Cr and BUN (P < .05). ROC analysis demonstrated that RBC, Hb, PLT, BUN, and BUN/Cr ratios were effective in distinguishing UGIB from LGIB (P < .05). Conclusions: Blood routine parameters, including RBC, Hb, PLT, BUN, and BUN/Cr ratio, are valuable in differentiating between UGIB and LGIB. These parameters can serve as early evaluation indexes for GIB, facilitating timely intervention and treatment to enhance therapeutic outcomes.

Study of the Correlation between the Motor Ability of the Individual Upper Limbs and Motor Imagery Induced Neural Activities.

Motor imagery based brain-computer interfaces (MI-BCIs) have excellent application prospects in motor enhancement and rehabilitation. However, MI-induced electroencephalogram features applied to MI-BCI usually vary from person to person. This study aimed to investigate whether the motor ability of the individual upper limbs was associated with these features, which helps understand the causes of inter-subject variability. We focused on the behavioral and psychological factors reflecting motor abilities. We first obtained the behavioral scale scores from Edinburgh Handedness Questionnaire, Maximum Grip Strength Test, and Purdue Pegboard Test assessments to evaluate the motor execution ability. We also required the subjects to complete the psychological Movement Imagery Questionnaire-3 estimate, representing MI ability. Then we recorded EEG signals from all twenty-two subjects during MI tasks. Pearson correlation coefficient and stepwise regression were used to analyze the relationships between MI-induced relative event-related desynchronization (rERD) patterns and motor abilities. Both Purdue Pegboard Test and Movement Imagery Questionnaire-3 scores had significant correlations with MI-induced neural oscillation patterns. Notably, the Purdue Pegboard Test of the left hand had the most significant correlation with the alpha rERD. The results of stepwise multiple regression analysis showed that the Purdue Pegboard Test and Movement Imagery Questionnaire-3 could best predict the MI-induced rERD. The results demonstrate that hand dexterity and fine motor coordination are significantly related to MI-induced neural activities. In addition, the method of imagining is also relevant to MI features. Therefore, this study is meaningful for understanding individual differences and the design of user-centered MI-BCI.

Incorporating EEG and fNIRS Patterns to Evaluate Cortical Excitability and MI-BCI Performance During Motor Training.

As electroencephalography (EEG) is nonlinear and nonstationary in nature, an imperative challenge for brain-computer interfaces (BCIs) is to construct a robust classifier that can survive for a long time and monitor the brain state stably. To this end, this research aims to improve BCI performance by incorporation of electroencephalographic and cerebral hemodynamic patterns. A motor imagery (MI)-BCI based visual-haptic neurofeedback training (NFT) experiment was designed with sixteen participants. EEG and functional near infrared spectroscopy (fNIRS) signals were simultaneously recorded before and after this transient NFT. Cortical activation was significantly improved after repeated and continuous NFT through time-frequency and topological analysis. A classifier calibration strategy, weighted EEG-fNIRS patterns (WENP), was proposed, in which elementary classifiers were constructed by using both the EEG and fNIRS information and then integrated into a strong classifier with their independent accuracy-based weight assessment. The results revealed that the classifier constructed on integrating EEG and fNIRS patterns was significantly superior to that only with independent information (  âˆ¼  10% and  âˆ¼  18% improvement respectively), reaching  âˆ¼  89% in mean classification accuracy. The WENP is a classifier calibration strategy that can effectively improve the performance of the MI-BCI and could also be used to other BCI paradigms. These findings validate that our proposed methods are feasible and promising for optimizing conventional motor training methods and clinical rehabilitation.

Motor Imagery and Action Observation Induced Electroencephalographic Activations to Guide Subject-Specific Training Paradigm: A Pilot Study.

Brain-computer interface (BCI)-based motor rehabilitation feedback training system can facilitate motor function reconstruction, but its rehabilitation mechanism with suitable training protocol is unclear, which affects the application effect. To this end, we probed the electroencephalographic (EEG) activations induced by motor imagery (MI) and action observation (AO) to provide an effective method to optimize motor feedback training. We grouped subjects according to their alpha-band sensorimotor cortical excitability under MI and AO conditions, and investigated the EEG response under the same paradigm between groups and different motor paradigms within group, respectively. The results showed that there were significant differences in sensorimotor activations between two groups of subjects. Specifically, the group with weaker MI induced EEG features, could achieve stronger sensorimotor activations in AO than that of other conditions. The group with stronger MI induced EEG features, could achieve stronger sensorimotor activations in the MI+AO than that of other conditions. We also explored their classification and brain network differences, which might try to explain the EEG mechanism in different individuals and help stroke patients to choose appropriate subject-specific motor training paradigm for their rehabilitation and better treatment outcomes.

Nrf2 regulates downstream genes by targeting miR-29b in severe asthma and the role of grape seed proanthocyanidin extract in a murine model of steroid-insensitive asthma.

CONTEXT: Grape seed proanthocyanidin extract (GSPE) is effective in treating severe asthma (SA). OBJECTIVE: To examine the relationship between Nrf2-miR-29b axis and SA, and to detect whether preventive use of GSPE relieves SA via it. MATERIALS AND METHODS: We recruited 10 healthy controls, 10 patients with non-severe asthma (nSA), and 9 patients with SA from February 2017 to December 2017. Peripheral blood mononuclear cells from these volunteers were extracted. A murine model of steroid-insensitive asthma was established in six-week-old female BALB/c mice that were sensitised and challenged with OVA, Al(OH)3 and LPS for 31 days. Mice in the treated groups were injected with DXM (5 mg/kg/d), with or without GSPE (100 mg/kg/d). Control group received PBS. We performed quantitative real-time PCR, western blot and luciferase reporter assay in animal and cell models. RESULTS: SA group demonstrated significantly lower concentrations of Nrf2 protein, Nrf2 mRNA, and miR-29b than nSA group and control group. Conversely, higher levels of platelet derived growth factor C (PDGFC), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), and collagen type III alpha 1 (COL3A1) were measured in SA than in the other two groups. PDGFC, PIK3R1, and COL3A1 were the target genes of miR-29b. GSPE + DXM significantly elevated the expression of Nrf2 (+188%), Nrf2 mRNA (+506%), and miR-29b (+201%), and significantly reduced the expression of PDGFC (-72%), PIK3R1 (-40%), and COL3A1 (-65%) compared with OVA + LPS. CONCLUSIONS: Nrf2-miR-29b axis is involved in the pathogenesis of SA. GSPE, as an adjuvant drug, maybe a potential therapeutic agent for SA.

Sexual dimorphism in glucose metabolism is shaped by androgen-driven gut microbiome.

Males are generally more susceptible to impaired glucose metabolism and type 2 diabetes (T2D) than females. However, the underlying mechanisms remain to be determined. Here, we revealed that gut microbiome depletion abolished sexual dimorphism in glucose metabolism. The transfer of male donor microbiota into antibiotics-treated female mice led the recipients to be more insulin resistant. Depleting androgen via castration changed the gut microbiome of male mice to be more similar to that of females and improved glucose metabolism, while reintroducing dihydrotestosterone (DHT) reversed these alterations. More importantly, the effects of androgen on glucose metabolism were largely abolished when the gut microbiome was depleted. Next, we demonstrated that androgen modulated circulating glutamine and glutamine/glutamate (Gln/Glu) ratio partially depending on the gut microbiome, and glutamine supplementation increases insulin sensitivity in vitro. Our study identifies the effects of androgen in deteriorating glucose homeostasis partially by modulating the gut microbiome and circulating glutamine and Gln/Glu ratio, thereby contributing to the difference in glucose metabolism between the two sexes.

Optimization of Task Allocation for Collaborative Brain-Computer Interface Based on Motor Imagery.

OBJECTIVE: Collaborative brain-computer interfaces (cBCIs) can make the BCI output more credible by jointly decoding concurrent brain signals from multiple collaborators. Current cBCI systems usually require all collaborators to execute the same mental tasks (common-work strategy). However, it is still unclear whether the system performance will be improved by assigning different tasks to collaborators (division-of-work strategy) while keeping the total tasks unchanged. Therefore, we studied a task allocation scheme of division-of-work and compared the corresponding classification accuracies with common-work strategy's. APPROACH: This study developed an electroencephalograph (EEG)-based cBCI which had six instructions related to six different motor imagery tasks (MI-cBCI), respectively. For the common-work strategy, all five subjects as a group had the same whole instruction set and they were required to conduct the same instruction at a time. For the division-of-work strategy, every subject's instruction set was a subset of the whole one and different from each other. However, their union set was equal to the whole set. Based on the number of instructions in a subset, we divided the division-of-work strategy into four types, called "2 Tasks" … "5 Tasks." To verify the effectiveness of these strategies, we employed EEG data collected from 19 subjects who independently performed six types of MI tasks to conduct the pseudo-online classification of MI-cBCI. MAIN RESULTS: Taking the number of tasks performed by one collaborator as the horizontal axis (two to six), the classification accuracy curve of MI-cBCI was mountain-like. The curve reached its peak at "4 Tasks," which means each subset contained four instructions. It outperformed the common-work strategy ("6 Tasks") in classification accuracy (72.29 ± 4.43 vs. 58.53 ± 4.36%). SIGNIFICANCE: The results demonstrate that our proposed task allocation strategy effectively enhanced the cBCI classification performance and reduced the individual workload.

[Research progress and prospect of collaborative brain-computer interface for group brain collaboration].

As the most common active brain-computer interaction paradigm, motor imagery brain-computer interface (MI-BCI) suffers from the bottleneck problems of small instruction set and low accuracy, and its information transmission rate (ITR) and practical application are severely limited. In this study, we designed 6-class imagination actions, collected electroencephalogram (EEG) signals from 19 subjects, and studied the effect of collaborative brain-computer interface (cBCI) collaboration strategy on MI-BCI classification performance, the effects of changes in different group sizes and fusion strategies on group multi-classification performance are compared. The results showed that the most suitable group size was 4 people, and the best fusion strategy was decision fusion. In this condition, the classification accuracy of the group reached 77%, which was higher than that of the feature fusion strategy under the same group size (77.31% vs. 56.34%), and was significantly higher than that of the average single user (77.31% vs. 44.90%). The research in this paper proves that the cBCI collaboration strategy can effectively improve the MI-BCI classification performance, which lays the foundation for MI-cBCI research and its future application.

EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application.

Stroke is one of the most serious diseases that threaten human life and health. It is a major cause of death and disability in the clinic. New strategies for motor rehabilitation after stroke are undergoing exploration. We aimed to develop a novel artificial neural rehabilitation system, which integrates brain-computer interface (BCI) and functional electrical stimulation (FES) technologies, for limb motor function recovery after stroke. We conducted clinical trials (including controlled trials) in 32 patients with chronic stroke. Patients were randomly divided into the BCI-FES group and the neuromuscular electrical stimulation (NMES) group. The changes in outcome measures during intervention were compared between groups, and the trends of ERD values based on EEG were analyzed for BCI-FES group. Results showed that the increase in Fugl Meyer Assessment of the Upper Extremity (FMA-UE) and Kendall Manual Muscle Testing (Kendall MMT) scores of the BCI-FES group was significantly higher than that in the sham group, which indicated the practicality and superiority of the BCI-FES system in clinical practice. The change in the laterality coefficient (LC) values based on µ-ERD (ΔLCm-ERD) had high significant positive correlation with the change in FMA-UE(r = 0.6093, P = 0.012), which provides theoretical basis for exploring novel objective evaluation methods.

A BCI based visual-haptic neurofeedback training improves cortical activations and classification performance during motor imagery.

OBJECTIVE: We proposed a brain-computer interface (BCI) based visual-haptic neurofeedback training (NFT) by incorporating synchronous visual scene and proprioceptive electrical stimulation feedback. The goal of this work was to improve sensorimotor cortical activations and classification performance during motor imagery (MI). In addition, their correlations and brain network patterns were also investigated respectively. APPROACH: 64-channel electroencephalographic (EEG) data were recorded in nineteen healthy subjects during MI before and after NFT. During NFT sessions, the synchronous visual-haptic feedbacks were driven by real-time lateralized relative event-related desynchronization (lrERD). MAIN RESULTS: By comparison between previous and posterior control sessions, the cortical activations measured by multi-band (i.e. alpha_1: 8-10 Hz, alpha_2: 11-13 Hz, beta_1: 15-20 Hz and beta_2: 22-28 Hz) absolute ERD powers and lrERD patterns were significantly enhanced after the NFT. The classification performance was also significantly improved, achieving a ~9% improvement and reaching ~85% in mean classification accuracy from a relatively poor performance. Additionally, there were significant correlations between lrERD patterns and classification accuracies. The partial directed coherence based functional connectivity (FC) networks covering the sensorimotor area also showed an increase after the NFT. SIGNIFICANCE: These findings validate the feasibility of our proposed NFT to improve sensorimotor cortical activations and BCI performance during motor imagery. And it is promising to optimize conventional NFT manner and evaluate the effectiveness of motor training.

BCI Monitor Enhances Electroencephalographic and Cerebral Hemodynamic Activations During Motor Training.

Motor imagery-based brain-computer interface (MI-BCI) controlling functional electrical stimulation (FES) is promising for disabled patients to restore their motor functions. However, it remains unclear how much the BCI part can contribute to the functional coupling between the brain and muscle. Specifically, whether it can enhance the cerebral activation for motor training? Here, we investigate the electroencephalographic and cerebral hemodynamic responses for MI-BCI-FES training and MI-FES training, respectively. Twelve healthy subjects were recruited in the motor training study when concurrent electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were recorded. Compared with the MI-FES training conditions, the MI-BCI-FES could induce significantly stronger event-related desynchronization (ERD) and blood oxygen response, which demonstrates that BCI indeed plays a functional role in the closed-loop motor training. Therefore, this paper verifies the feasibility of using BCI to train motor functions in a closed-loop manner.

A visual-haptic neurofeedback training improves sensorimotor cortical activations and BCI performance.

Neurofeedback training (NFT) could provide a novel way to investigate or restore the impaired brain function and neuroplasticity. However, it remains unclear how much the different feedback modes can contribute to NFT training. Specifically, whether they can enhance the cortical activations for motor training. To this end, our study proposed a brain-computer interface (BCI) based visual-haptic NFT incorporating synchronous visual scene and proprioceptive electrical stimulation feedback. By comparison between previous and posterior control sessions, the cortical activations measured by multi-band (i.e. alpha_1: 8-10Hz, alpha_2: 11-13Hz, beta_1: 15-20Hz and beta_2: 22-28Hz) lateralized relative event-related desynchronization (lrERD) patterns were significantly enhanced after NFT. And the classification performance was also significantly improved, achieving a ~9% improvement and reaching ~85% in mean classification accuracy from a relatively low MI-BCI performance. These findings validate the feasibility of our proposed visual- haptic NFT approach to improve sensorimotor cortical activations and BCI performance during motor training.

Triptolide reduces proliferation and enhances apoptosis in drug-resistant human oral cancer cells.

Triptolide (TPL) is a traditional Chinese medicine that possesses anti-multidrug resistance (MDR) properties against various cancers, including oral cancer. However, the functional roles of TPL in oral cancer cells and its potential ability to overcome MDR have not fully evaluated. Therefore, in this study we used oral cancer cell line SAS to establish Taxol-resistant cell line SAS/Taxol and investigated the effects of TPL on MDR, proliferation, and apoptosis of SAS/Taxol cells. We first demonstrated that TPL overcame MDR in SAS/Taxol cells. In addition, TPL induced prominent proliferation inhibition, cell cycle arrest, and apoptosis of SAS/Taxol cells. Furthermore, the pro-apoptotic effect of TPL on SAS/Taxol cells was dependent on intrinsic and extrinsic apoptotic pathways involved in the activation of caspases. Consistently, TPL successfully hampered oral tumor growth by inducing cell apoptosis in a xenograft mouse model. Overall, these results indicated that TPL circumvented MDR of SAS/Taxol cells by inhibition of proliferation and induction of apoptosis which was partly mediated by the intrinsic and extrinsic apoptotic pathways, suggesting the potential therapeutic value of TPL on Taxol-resistant human oral cancer.

Astragaloside IV facilitates glucose transport in C2C12 myotubes through the IRS1/AKT pathway and suppresses the palmitate-induced activation of the IKK/IκBα pathway.

Astragaloside IV is a monomer isolated from Astragalus membranaceus (Fisch.) Bunge, which is one of the most widely used plant-derived drugs in traditional Chinese medicine for diabetes therapy. In the present study, we aimed to examine the effects of astragaloside IV on glucose in C2C12 myotubes and the underlying molecular mechanisms responsible for these effects. Four-day differentiated C2C12 myotubes were exposed to palmitate for 16 h in order to establish a model of insulin resistance and 3H glucose uptake, using 2-Deoxy­D­[1,2-3H(N)]-glucose (radiolabeled 2-DG), was detected. Astragaloside IV was added 2 h prior to palmitate exposure. The translocation of glucose transporter 4 (GLUT4) was evaluated by subcellular fractionation, and the expression of insulin signaling molecules such as insulin receptor ß (IRß), insulin receptor substrate (IRS)1/protein kinase B (AKT) and inhibitory κB kinase (IKK)/inhibitor-κBα (IκBα), which are associated with insulin signal transduction, were assessed in the basal or the insulin­stimulated state using western blot analysis or RT-PCR. We also examined the mRNA expression of monocyte chemotactic protein 1 (MCP-1), interleukin 6 (IL-6), tumor necrosis factor α (TNFα) and Toll­like receptor 4 (TLR4). Taken together, these findings demonstrated that astragaloside IV facilitates glucose transport in C2C12 myotubes through a mechanism involving the IRS1/AKT pathway, and suppresses the palmitate-induced activation of the IKK/IκBα pathway.

Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: results from a proteomic study integrated with bioinformatics analysis.

In order to investigate the two members of the EF­hand Ca2+ binding protein S100 family, S100A8 and S100A9, in renal cell carcinoma (RCC), serum samples were collected from patients with RCC, transitional cell carcinoma in the kidney, benign renal masses and normal controls. The samples were analyzed by isobaric tags for relative and absolute quantification technology to identify the differential expression of S100A8 and S100A9 in the respective groups. Hierarchical clustering analysis was then conducted for the samples and the relevant selected gene. The cross­platform analysis for the external validation was performed by means of The Cancer Genome Atlas database, containing the gene/microRNA expression pattern and clinical information of patients with RCC. Immunohistochemical staining was used to verify the expression of S100A8 and S100A9 in the four groups. As a result, serum and mRNA expression levels of S100A8 and S100A9 were found to be upregulated in patients with RCC compared with the other three groups, which was consistent with the result of the upregulated expression of mRNA levels in RCC tissue. The overexpression of S100A8 and S100A9 in cancer cells was also confirmed by immunohistochemistry. In addition, bioinformatics revealed that let­7, a microRNA formerly identified as an inhibiting factor of RCC was downregulated in RCC, which contrasted with S100A8. It was also complementary to the sequence at the 3' untranslated region terminal of S100A8. Therefore, indicating that S100A8 and S100A9 may serve as biomarkers for the detection of RCC.

The safety and efficacy of magnetic nano-iron hyperthermia therapy on rat brain glioma.

Gliomas are a group of heterogeneous primary central nervous system tumors arising from glial cells. These tumors are associated with high morbidity and mortality. New opportunities for the development of effective therapies for malignant gliomas are urgently needed. Magnetic nano-particles can heat up tumor tissues and induce the killing of cancer cells. However, the in vivo action of magnetic nano-iron hyperthermia on brain gliomas has not been widely investigated. The safety, efficacy, and suitable dose of hyperthermia therapy remain unknown. We successfully established a rat model of brain glioma by injecting C6 glioma cells into the right caudate nuclei of rats. Fixed doses (2.5, 5, or 10 mg) of magnetic nano-iron were then injected into the tumors of tumor-bearing rats. The survival time of tumor-bearing rats was subsequently observed, and imaging studies were conducted on the brain tumors. Of the 80 rats that underwent C6 glioma cell implantation, 70 exhibited decreased mobility and appetite, and wasting. Establishment of this brain glioma model was confirmed to be successful by magnetic resonance imaging. After injection of different doses of magnetic nano-iron, the survival times of the different dose groups of tumor-bearing rats were not significantly different. However, the tumor size exhibited a significant decrease with magnetic nano-iron hyperthermia therapy. Injection of various doses of magnetic nano-iron was safe in tumor-bearing rats. The effective doses were 2.5 and 5 mg. Magnetic nano-iron hyperthermia significantly shrank the brain gliomas in tumor-bearing rats.

In vitro and in vivo evaluation of ribavirin and pleconaril antiviral activity against enterovirus 71 infection.

Enterovirus 71(EV71) causes recurring outbreaks of hand, foot and mouth disease and encephalitis leading to complications or death in young children. More effective antiviral drugs are needed to prevent or reduce EV71-related disease and complications. However, there are no standard models currently in use to evaluate activity against EV71 infection both in vitro and in vivo. In this study, the activity of ribavirin and pleconaril against EV71 infection was evaluated in two models. An in vitro EV71 infection model was developed in RD cells, and an in vivo EV71 infection model was applied. Ribavirin and pleconaril effectively increased the viability of infected cells. Pleconaril reduced the morbidity and mortality of one-day-old infected mice, but ribavirin did not protect the infected mice. In all, the results demonstrated that infected cells and infected mice can be used to evaluate antiviral activity of ribavirin and pleconaril against EV71 infection in vitro and in vivo.

[Effect of Tongfeng trace elements nutrient balance agent on growth, physiological characteristics and content of active constituents of Glycyrrhiza uralensis].

OBJECTIVE: To investigate the effects of Tongfeng trace elements nutrient balance agent on the various growth indicators, physiological indicators, and the contents of liquiritin and glycyrrhizic acid in one-year old Glycyrrhiza uralensis. METHOD: The plants of G. uralensis growing in Chifeng of Inner Mongolia and medicinal garden of Beijing University of Chinese Medicine were fertilized for two times, respectively. The photosynthetic physiological indicators were measured by LI-6400 photosynthetic instrument. The pigments and antioxidase activities of the leaves were determined. Then contents of liquiritin and glycyrrhizic acid in the plants were determined by HPLC. RESULT: The application of this trace element nutrient balance agent could significantly improve the height, chla and chlb, and the photosynthetic physiology indicator such as P(n), C(i), and G(s). Similarly, it could significantly increase the fresh weight of shoots and dry weight of the roots. Compared with control block (CK), the fertilizer which was diluted by 300 times (T(1)) and 600 times (T(2)) significantly increased the content of glycyrrhizic acid by 24.72% and 20. 23%. There was significant difference between different treatments (P < 0.05). CONCLUSION: The Tongfeng trace elements nutrient balance agent could promote growth, physiology and the content of active constituents of G. uralensis, especially the effect of T(1) was superior to T(2).

Possible protection by notoginsenoside R1 against glutamate neurotoxicity mediated by N-methyl-D-aspartate receptors composed of an NR1/NR2B subunit assembly.

Notoginsenoside R1 (NTR1) is the main active ingredient in Panax notoginseng, a herbal medicine widely used in Asia for years. The purpose of this study was to investigate pharmacological properties of NTR1 on neurotoxicity of glutamate (Glu) in primary cultured mouse cortical neurons along with its possible mechanism of action. We found that NTR1 significantly protected neurons from the loss of cellular viability caused by brief exposure to 10 microM Glu for 1 hr in a dose-dependent manner at concentrations from 0.1 to 10 microM, without affecting the viability alone. NTR1 significantly inhibited the increased number of cells positive to propidium iodide (PI) staining, increase of intracellular free Ca(2+) ions, overproduction of intracellular reactive oxygen species, and depolarization of mitochondrial membrane potential in cultured neurons exposed to Glu, in addition to blocking decreased Bcl-2 and increased Bax expression levels. We further evaluated the target site at which NTR1 protects neurons from Glu toxicity by using the acquired expression strategy of N-methyl-D-aspartate (NMDA) receptor subunits in human embryonic kidney 293 cells. We found that 10 microM NTR1 protected NR1/NR2B subunit expressing cells from cell death by 100 microM NMDA, but not cells expressing NR1/NR2A subunits, when determined by PI staining. These results suggest that NTR1 may preferentially protect neurons from Glu excitotoxicity mediated by NMDA receptor composed of an NR1/NR2B subunit assembly in the brain.