The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervised learning detection method for epileptic seizure that jointed graph attention network (GAT) and Transformer framework (GAT-T) was proposed. In this method, channel correlations were adaptively learned by GAT encoder. Temporal information was captured by one-dimensional convolution decoder. Combining outputs of the two mentioned above, predicted values for electroencephalogram were generated. The collective anomaly score was calculated and the detection threshold was determined. The results demonstrated that GAT-T achieved the average performance exceeding 90% (or 99%) with a 0.25 s (or 2 s) time segment length, which could effectively detect epileptic seizures. Moreover, the channel association probability matrix was expected to assist clinicians in the initial screening of the epileptogenic zone, and ablation experiments also reflected the significance of each module in GAT-T. This study may assist clinicians in making more accurate diagnostic and therapeutic decisions for epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Algorithms ; Seizures/physiopathology* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

The innate immune response is the first line of defense for the host against viral infections. Targeted degradation of pathogenic microorganisms through autophagy, in conjunction with pattern recognition receptors synergistically inducing the production of interferon (IFN), constitutes an important pathway for the body to resist viral infections. Rubicon, a Run domain Beclin 1-interacting and cysteine-rich domain protein, has an inhibitory effect on autophagy and IFN production. On the one hand, Rubicon, as a component of the phosphoinositide 3-kinase (PI3K) complex, interacts with different domains of vacuolar protein sorting 34 (Vps34), ultraviolet radiation resistance associated gene (UVRAG), guanosine triphosphate (GTP) kinase, and RAS oncogene family member 7 (Rab7) to mediate the inhibition of autophagy maturation; on the other hand, Rubicon inhibits the ubiquitination of nuclear factor κB essential modulator (NEMO) and the dimerization of interferon regulatory factor 3 (IRF3), thereby blocking the signal transduction related to IFN production. Research has revealed that various viruses, such as Kaposi's sarcoma-associated herpesvirus (KSHV), hepatitis B virus (HBV), Sendai virus (SeV), and hepatitis C virus (HCV), achieve innate immune evasion by regulating the expression or function of Rubicon. Rubicon is expected to be a new target for antiviral therapy.
Humans ; Autophagy/immunology* ; Immunity, Innate ; Interferons/immunology* ; Immune Evasion ; Animals ; Virus Diseases/virology* ; Signal Transduction ; Viruses/immunology* ; Intracellular Signaling Peptides and Proteins/immunology* ; Autophagy-Related Proteins

A novel epileptic seizure prediction prediction model based on multichannel temporal and spatial feature extractions is presented.The model applies Stockwell transform to the original multichannel electroencephalogram(EEG)signals for extracting time-frequency components.To address the issue of insignificant difference between preseizure and interseizure time-frequency features,an adaptive feature module composing of ConvNeXt,SENet and pyramid pooling module is designed to enhance the ability of capturing key time-frequency features in each EEG channel.Meanwhile,a prediction model based on Bi-NLSTM is constructed to improve the spatiotemporal dependence between the time-frequency features of multichannel high-order EEG for further promoting the epilepsy classification performance.On the CHB-MIT dataset,the model has an accuracy,sensitivity,specificity and AUC of 96.0%,97.8%,96.8%and 0.987,respectively,and the false positive rate per hour decreased to 0.038,outperforming the existing mainstream methods.In addition,the effect of each component on the model performance is verified by ablation study.The proposed method improves the overall performance for seizure prediction effectively by optimizing local time-frequency feature extraction and enhancing multichannel spatiotemporal dependence.

Objective:To explore the effect of CO2 fractional laser combined with glucocorticoid(GC)on T follicular helper cell(Tfh)and B cell subsets in patients with advanced vitiligo(VL).Methods:Patients with advanced VL(128 cases)who were treated in Affiliated Hospital of Hebei University of Engineering from August 2019 to March 2022 were selected as research objects,and divided into group A(64 cases,CO2 fractional laser combined with GC)and group B(64 cases,CO2 fractional laser)according to different treatment methods,clinical efficacy and safety of the two groups were compared.Another healthy subjects(64 cases)were selected as control group.Collected clinical data of the three groups of subjects for comparative analysis.Randomized walking model was used to evaluate the effect of CO2 fractional laser combined with GC on immune function and inflammatory response in patients with advanced VL.Results:Compared with group B,group A had a higher clinical total effective rate(P<0.05)and a lower probability of adverse reactions(P<0.05).After treatment,compared with control group,proportion of Tfh2 and Tfh17 in group A had no significant difference(P>0.05),while proportion of Tfh2 and Tfh17 in group B still had significant difference(P<0.05);compared with group B,proportion of Tfh2 in group A after treatment was higher(P<0.05),while proportion of Tfh17 type was lower(P<0.05).After treat-ment,compared with control group,proportion of memory transformed B cell in group B was still significantly different(P<0.05).After treatment,compared with control group,levels of IgA,IgE and IgM in group B were still significantly different(P<0.05);compared with group B,level of IgM in group A was higher after treatment(P<0.05).After treatment,compared with control group,levels of IL-21 and IL-1β in group B were still significantly different(P<0.05);compared with group B,level of IL-10 in group A after treatment was higher(P<0.05),while levels of IL-21 and IL-1β were lower(P<0.05).Evaluation results of random walking model showed that the improvement of immune function and inflammatory reaction in group A was better than that in group B.Conclusion:CO2 fractional laser combined with GC can improve the immune function and inflammatory reaction of patients with advanced VL better after treatment,and the probability of adverse reactions is lower.

Objective:To explore the effect of CO2 fractional laser combined with glucocorticoid(GC)on T follicular helper cell(Tfh)and B cell subsets in patients with advanced vitiligo(VL).Methods:Patients with advanced VL(128 cases)who were treated in Affiliated Hospital of Hebei University of Engineering from August 2019 to March 2022 were selected as research objects,and divided into group A(64 cases,CO2 fractional laser combined with GC)and group B(64 cases,CO2 fractional laser)according to different treatment methods,clinical efficacy and safety of the two groups were compared.Another healthy subjects(64 cases)were selected as control group.Collected clinical data of the three groups of subjects for comparative analysis.Randomized walking model was used to evaluate the effect of CO2 fractional laser combined with GC on immune function and inflammatory response in patients with advanced VL.Results:Compared with group B,group A had a higher clinical total effective rate(P<0.05)and a lower probability of adverse reactions(P<0.05).After treatment,compared with control group,proportion of Tfh2 and Tfh17 in group A had no significant difference(P>0.05),while proportion of Tfh2 and Tfh17 in group B still had significant difference(P<0.05);compared with group B,proportion of Tfh2 in group A after treatment was higher(P<0.05),while proportion of Tfh17 type was lower(P<0.05).After treat-ment,compared with control group,proportion of memory transformed B cell in group B was still significantly different(P<0.05).After treatment,compared with control group,levels of IgA,IgE and IgM in group B were still significantly different(P<0.05);compared with group B,level of IgM in group A was higher after treatment(P<0.05).After treatment,compared with control group,levels of IL-21 and IL-1β in group B were still significantly different(P<0.05);compared with group B,level of IL-10 in group A after treatment was higher(P<0.05),while levels of IL-21 and IL-1β were lower(P<0.05).Evaluation results of random walking model showed that the improvement of immune function and inflammatory reaction in group A was better than that in group B.Conclusion:CO2 fractional laser combined with GC can improve the immune function and inflammatory reaction of patients with advanced VL better after treatment,and the probability of adverse reactions is lower.

A novel epileptic seizure prediction prediction model based on multichannel temporal and spatial feature extractions is presented.The model applies Stockwell transform to the original multichannel electroencephalogram(EEG)signals for extracting time-frequency components.To address the issue of insignificant difference between preseizure and interseizure time-frequency features,an adaptive feature module composing of ConvNeXt,SENet and pyramid pooling module is designed to enhance the ability of capturing key time-frequency features in each EEG channel.Meanwhile,a prediction model based on Bi-NLSTM is constructed to improve the spatiotemporal dependence between the time-frequency features of multichannel high-order EEG for further promoting the epilepsy classification performance.On the CHB-MIT dataset,the model has an accuracy,sensitivity,specificity and AUC of 96.0%,97.8%,96.8%and 0.987,respectively,and the false positive rate per hour decreased to 0.038,outperforming the existing mainstream methods.In addition,the effect of each component on the model performance is verified by ablation study.The proposed method improves the overall performance for seizure prediction effectively by optimizing local time-frequency feature extraction and enhancing multichannel spatiotemporal dependence.

Objective To investigate the effect of T cell immunoreceptor with Ig and ITIM domains (TIGIT) on the function of CD8⁺ T cells in the lungs of Plasmodium infected mice. Methods The lungs of the mice infected with Plasmodium yoelii were isolated, weighed and photographed after 12 days' infection. After dissolution, lung lymphocytes were isolated, counted and stained, and then the contents of CD8⁺ and TIGIT⁺CD8⁺ T cells were detected by flow cytometry. The expressions of L selectin (CD62L), CD69, programmed death 1 (PD-1), CD25, and C-X3-C motif chemokine receptor 1 (CX3CR1) on TIGIT⁺CD8⁺ T cells were detected by flow cytometry. After stimulation with phorbol 12-myristate 13-acetate (PMA) and ionomycin, the ability of TIGIT⁺CD8⁺T cells to secrete interferon γ(IFN-γ), interleukin 21 (IL-21), IL-4, IL-17, and IL-10 was detected. Results The body mass of mice with Plasmodium infection was reduced. The lungs became darker, and the ratio of the lung mass to body mass was significantly increased. Compared with the normal mice, the percentages and absolute quantity of CD8⁺ and TIGIT⁺CD8⁺ T cells in the lungs of the infected mice were significantly increased. The percentage of TIGIT⁺CD8⁺ T cells expressing CD62L in the infected group was significantly lower, while the percentage of the CD69, PD-1, and CX3CR1 cells were significantly higher than that of TIGIT⁺CD8⁺ T cells from the normal mice. The percentages of TIGIT⁺CD8⁺ T cells secreting IL-21, IL-4, IL-17 and IL-10 cells in the infected group were significantly lower. Conclusion The lung lesions from mice with Plasmodium infection are obvious, the numbers of TIGIT⁺CD8⁺ T cells increase, and these cells express a variety of activation-related molecules, but the ability to secrete cytokines is reduced.
Animals ; Mice ; CD8-Positive T-Lymphocytes ; Cytokines/metabolism* ; Interferon-gamma/metabolism* ; Interleukin-10/metabolism* ; Interleukin-17/metabolism* ; Interleukin-4/metabolism* ; Lung/metabolism* ; Malaria/metabolism* ; Plasmodium yoelii/metabolism* ; Programmed Cell Death 1 Receptor/metabolism*

OBJECTIVE: To investigate the effect of scutellarin (SCU) on proliferation, cell cycle and apoptosis of acute myeloid leukemia (AML) cells and its related molecular mechanism. METHODS: Human AML HL-60 cells were cultured in vitro. The cells were treated with SCU at the concentration of 0, 2, 4, 8, 16, 32, 64 μmol/L, and the inhibition rate of cell proliferation was detected by CCK-8 method. Then HL-60 cells were treated with SCU at the concentration of 4, 8, 16 μmol/L, and the negative control group (NC group) was set. The cell cycle distribution and apoptosis were detected by flow cytometry, and the expression of cell cycle, apoptosis and JAK2/STAT3 pathway related proteins were detected by Western blot. RESULTS: SCU significantly inhibited the proliferation of HL-60 cells in a concentration- and time-dependent manner(r =0.958,r =0.971). Compared with NC group, the proportion of cells in G₀/G₁ phase and apoptosis rate of HL-60 cells in 4, 8, 16 μmol/L SCU group were significantly increased, and the proportion of cells in S phase was significantly decreased (P <0.05). The relative protein expression levels of p21, p53, caspase-3 and Bax were significantly increased, while the relative protein expression levels of CDK2, cyclin E and Bcl-2 were significantly decreased (P <0.05). The ratio of p-JAK2/JAK2 and p-STAT3/STAT3 were significantly decreased (P <0.05). The changes of above-mentioned indexes were concentration dependent. CONCLUSION SCU can inhibit the proliferation of AML cells, induce cell cycle arrest and apoptosis, and its mechanism may be related to the regulation of JAK2/STAT3 signaling pathway.
Humans ; Apoptosis ; Signal Transduction ; Leukemia, Myeloid, Acute ; HL-60 Cells ; Cell Proliferation ; Cell Line, Tumor

Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult ; Humans ; Adolescent ; Imatinib Mesylate/adverse effects* ; Incidence ; Antineoplastic Agents/adverse effects* ; Retrospective Studies ; Pyrimidines/adverse effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Treatment Outcome ; Benzamides/adverse effects* ; Leukemia, Myeloid, Chronic-Phase/drug therapy* ; Aminopyridines/therapeutic use* ; Protein Kinase Inhibitors/therapeutic use*

Objective: To investigate the species, concentration and seasonal trends of main airborne allergenic pollen in 4 districts and 5 counties of Hohhot City. Methods: The Department of allergy, Beijing Shijitan Hospital Affiliated to Capital Medical University conducted a cross-sectional study about monitoring the airborne allergenic pollen from August 1, 2021 to July 31, 2022 by the gravitational method in 4 districts and 5 counties of Hohhot City, which include Yuquan District, Xincheng District, Huimin District, Saihan District, Tuoketuo County, Helingeer County, Tumotezuoqi County, Wuchuan County and Qingshuihe County. Daily pollens were counted and identified by optical microscopy, and the data were analyzed. Results: The airborne allergenic pollen was collected every month all year round in 4 districts and 5 counties of Hohhot city. Through the whole year of the total quantity of pollens ranged from 24 850 to 50 154 grains per 1 000 mm² and two peaks of pollen concentration in air were observed,which happened in spring (from March to May) and in summer and autumn (from July to September). In spring, the main pollens were tree pollens, which principally distributed in Populus pollen (18.29%), Ulmus pollen (8.36%), Pinus pollen (6.20%), Cupressaceae pollen (5.23%), Betulaceae pollen (2.73%), Salix pollen (1.80%) and Quercus pollen (1.16%). In summer and autumn, the main pollens were weed pollens, which mainly included Artemisia pollen (42.73%), Chenopodiaceae pollen or Amaranthaceae pollen (7.46%), Poaceae pollen (2.26%), Humulus pollen or Cannabis pollen (0.60%). Conclusion: There were two peaks of main airborne allergenic pollen in 4 districts and 5 counties of Hohhot City. In the spring peak of pollen, the main airborne pollens were tree pollens. In the summer and autumn peak of pollen, the main airborne pollens were weed pollens. The Artemisia pollen was the most major airborne pollen in this area.
Humans ; Cross-Sectional Studies ; Pollen ; Hospitals