Objective:To investigate whether intratumoral Gemella haemolysans(G.haemolysans)enhances the efficacy of neoadjuvant chemoimmunotherapy(NACI)in esophageal squamous cell carcinoma(ESCC)-bearing mice and the underlying mechanism.Methods:Twenty-five 4-week-old female C57BL/6 mice were randomized into five groups(n=5 per group):negative control(NC)group,chemo-therapy group,G.haemolysans+chemotherapy group,NACI group,and G.haemolysans+NACI group.A germ-free mouse model was established in each group by administering antibiotic cocktail for 2 weeks.On day 0,ESCC-bearing mouse models were built through subcutaneous inoculation of either murine esophageal cancer cell line AKR or G.haemolysans-AKR cells.On day 7 when tumors formed under the skin,drugs were injected into the abdomen thrice weekly.On day 28 when the treatments were finished,the mice were sacrificed to harvest their tumors,and then the tumors were fixed in 4%paraformaldehyde.We located and quantified G.haemolysans within the tumors through fluorescence in situ hybridization,and characterized immune cell composition in the tumor immune microen-vironment(TIME)of the mice treated with NACI through multiplex immunohistochemistry and flow cytometry.Results:G.haemolysans significantly strengthened the efficacy of NACI in ESCC(P<0.05),whereas no chemosensitizing effects were observed on chemo-therapy in ESCC-bearing mice.G.haemolysans significantly en-hanced natural killer(NK)cell infiltration within the TIME(P<0.01).Conclusion:G.haemolysans improves NACI efficacy in ESCC-bearing mice by increasing NK cell recruitment in the TIME.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective To explore the relationship between plasma trimethylamine N-oxide(TMAO)level and atrial fibrillation(AF)by a clinical trial.Methods Totally 257 patients with AF were enrolled including 114 patients with paroxysmal AF and 143 with persistent AF.The control group had 122 non-AF patients;Plasma TMAO level,the demographic characteristics and clinical data of patients were collected.Regression analysis was performed to identify the association between TMAO and presence of AF.Results Plasma TMAO level of patients with AF was higher than that of patients without AF(3.9[2.4-5.9]vs.2.4[1.6-3.7]μmol/L,P＜0.001);Even after adjust-ment of confounding factors including age,hypertension,diabetes,heart failure and body mass index;Plasma TMAO level was still related to presence of AF(OR:1.290,95％CI:1.151-1.445;P＜0.001).The plasma TMAO level of patients with persistent AF was higher than that of patients with paroxysmal AF(4.4[2.8-6.8]vs.3.2[2.2-5.0]μmol/L,P＜0.01);Even after adjustment of confounding factors including age,hypertension,diabetes and heart failure and coronary heart disease;Plasma TMAO level was still related to persistent AF(OR:1.092,95％CI:1.009-1.182;P=0.029).Conclusions The level of plasma TMAO of patients with AF is higher than that of patients without AF.Elevated plasma TMAO level is related to an increased risk of AF.Elevated plasma TMAO level in patients with AF is related to an increased risk of persistent AF.

This article systematically analyzes the historical evolution of the name， origin， quality evaluation， harvesting， processing and other aspects of Picrorhizae Rhizoma by referring to the medical books， prescription books， and other documents of the past dynasties， combined with relevant modern research materials， in order to provide a basis for the development and utilization of famous classical formulas containing this medicinal herb. The research results indicate that Picrorhizae Rhizoma was first recorded in New Revised Materia Medica from the Tang dynasty. Throughout history， Huhuanglian has been used as its official name， and there are also aliases such as Gehu Luze， Jiahuanglian and Hulian. The main source of past dynasties is the the rhizomes of Picrorhiza kurrooa and P. scrophulariiflora. In ancient times， Picrorhizae Rhizoma was mainly imported by foreign traders via Guangzhou and other regions， and also produced in China， mainly in Xizang. In ancient times， it was harvested and dried in early August of the lunar calendar， while in modern times， it is mostly harvested from July to September， with the best quality being those with thick and crispy rhizomes without impurities， and bitter taste. Throughout history， Picrorhizae Rhizoma was collected， washed， sliced， and dried before being used as a raw material for medicine， it has a bitter and cold taste， mainly used to treat bone steaming， hot flashes， infantile chancre fever， and dysentery. There is no significant difference in taste and efficacy between ancient and modern times. Based on the research results， it is recommended that the rhizomes of P. scrophulariiflora in the 2020 edition of Chinese Pharmacopoeia， or the rhizomes of P. kurrooa， can be used in famous classical formulas containing this medicinal herb， which can be processed according to the processing requirements marked by the original formula. For those without clear processing requirements， the dried raw products are used as medicine.

This article systematically analyzes the historical evolution of the name， origin， medicinal parts， processing and other aspects of Euphorbiae Pekinensis Radix（EPR） by referring to the herbal medicine， medical books， prescription books and other documents of the past dynasties， combined with the relevant modern research materials， so as to provide a basis for the development and utilization of famous classical formulas containing this herbal medicine. According to research， EPR was first recorded in the Shennong Bencaojing in the name of Daji， and it is the correct name of the herbal medicine in all dynasties， there are also other aliases such as Qiongju， Hongya Daji， and Xiamaxian. The dried roots of Euphorbia pekinensis from Euphorbiaceae was the mainstream of the past dynasties. Before the Ming dynasty， the above ground parts of E. pekinensis were used as Zeqi in herbal works. However， since LI Shizhen in the Ming dynasty proposed that the origin of Zeqi should be E. helioscopia， the aerial part of EPR is no longer used as medicine. Since modern times， the roots of Knoxia valerianoides has been used as EPR， and has become the mainstream of commodities， which should be corrected. Throughout history， it has been recorded that the main producing areas were Jiangsu， Anhui， Zhejiang， Shanxi and other regions， while modern botanical survey have shown that EPR is a widespread species distributed throughout the country. In ancient times， the harvesting time of EPR was mostly the twelfth lunar month， while in modern time， it is more common to harvest in autumn and winter. The main processing methods of EPR in ancient times were vinegar processing， wine processing， and stir frying， while in modern times， it is uniformly vinegar processing. In the medicinal properties and clinical aspects， the records are basically consistent throughout history， mainly characterized by bitter taste， cold and toxic nature. Its main efficacy is expelling water retention and reducing swelling. Based on the textual research， it is suggested to choose the dried roots of E. pekinensis when famous classical formulas containing EPR， processing method can be based on the original specified prescription requirements， if the processing method is not clear， it is recommended to use vinegar-processed products as medicine.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective:To summarize the clinical symptoms of cyclic vomiting syndrome（CVS）in children and investigate its association with small intestinal bacterial overgrowth（SIBO）.Methods:A total of 89 children who were diagnosed as CVS and improved lactulose hydrogen breath test (LHBT) in the Pediatric Department of Beijing Tsinghua Changgung Hospital from June 2020 to June 2023 were selected as CVS group.Simultaneously，50 healthy children with physical examination in our hospital were selected as the control group. According to the results of LHBT,the children with CVS were divided into SIBO group (LHBT positive) and non-SIBO group (LHBT negative). The clinical data of children in each group were compared.Results:Among the 89 CVS patients，there were 42 males and 47 females，with a mean age of（7.50±3.54）years.Common accompanying symptoms included excessive sleepiness（76 cases，85.39%），anorexia(62 cases，69.66%），constipation（55 cases，61.80%），abdominal pain（34 cases,38.20%）and so on. There were no significant differences in age and gender between children in CVS group and control group ( P>0.05). The body mass index of CVS group was lower than that of control group.The positive rate of LHBT was higher than that of the control group (56.18% vs. 8.00%),the difference was statistically significant ( P<0.05),and the concentrations of hydrogen and methane in CVS group were higher than those of the control group at different time points( P<0.05).Among 89 children with CVS,there were 50 cases in SIBO group and 39 cases in non-SIBO group. There were no significant differences in gender,age and body mass index between the two groups ( P>0.05). The constipation rate and moderate/severe disease rate in SIBO group were higher than those in non-SIBO group (88.00% vs. 28.21%,94.00% vs. 43.59%),and the differences were statistically significant ( P<0.05). Conclusion:The incidence of SIBO in children with CVS is higher,and SIBO may play a key role in CVS. CVS children with SIBO have higher disease severity.

Objective:To summarize the clinical symptoms of cyclic vomiting syndrome（CVS）in children and investigate its association with small intestinal bacterial overgrowth（SIBO）.Methods:A total of 89 children who were diagnosed as CVS and improved lactulose hydrogen breath test (LHBT) in the Pediatric Department of Beijing Tsinghua Changgung Hospital from June 2020 to June 2023 were selected as CVS group.Simultaneously，50 healthy children with physical examination in our hospital were selected as the control group. According to the results of LHBT,the children with CVS were divided into SIBO group (LHBT positive) and non-SIBO group (LHBT negative). The clinical data of children in each group were compared.Results:Among the 89 CVS patients，there were 42 males and 47 females，with a mean age of（7.50±3.54）years.Common accompanying symptoms included excessive sleepiness（76 cases，85.39%），anorexia(62 cases，69.66%），constipation（55 cases，61.80%），abdominal pain（34 cases,38.20%）and so on. There were no significant differences in age and gender between children in CVS group and control group ( P>0.05). The body mass index of CVS group was lower than that of control group.The positive rate of LHBT was higher than that of the control group (56.18% vs. 8.00%),the difference was statistically significant ( P<0.05),and the concentrations of hydrogen and methane in CVS group were higher than those of the control group at different time points( P<0.05).Among 89 children with CVS,there were 50 cases in SIBO group and 39 cases in non-SIBO group. There were no significant differences in gender,age and body mass index between the two groups ( P>0.05). The constipation rate and moderate/severe disease rate in SIBO group were higher than those in non-SIBO group (88.00% vs. 28.21%,94.00% vs. 43.59%),and the differences were statistically significant ( P<0.05). Conclusion:The incidence of SIBO in children with CVS is higher,and SIBO may play a key role in CVS. CVS children with SIBO have higher disease severity.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.