Objective:To investigate alterations in static regional homogeneity(ReHo) and dynamic regional homogeneity (dReHo) and glucose metabolism in MRI-negative refractory temporal lobe epilepsy (TLE) patients using resting-state PET-MRI, and to evaluate their efficacy in predicting surgical outcomes.Methods:This study was a cross-sectional design. A retrospective analysis was conducted on the clinical and imaging data of 30 patients with MRI-negative refractory TLE (patient group) treated at Xuanwu Hospital, Capital Medical University, between 2016 and 2020, and data from 30 healthy controls (control group). All MRI-negative refractory TLE patients underwent surgical treatment and were further divided into a good prognosis subgroup (Engel Class I, 16 cases) and a poor prognosis subgroup (Engel Class Ⅱ-Ⅳ, 14 cases) based on postoperative Engel classification. Analysis of variance was used to compare differences in static ReHo, dReHo, and glucose metabolism(SUVR) among the three groups. The correlation of static ReHo, dReHo, and SUVR values of differential brain regions with Engel grading was analyzed using Spearman. A support vector machine (SVM) model was constructed using the static ReHo, dReHo, and SUVR values from these differential regions to classify and predict patient prognosis. The predictive performance was evaluated using receiver operating characteristic curves and the area under the curve (AUC).Results:Differential dReHo regions among the good prognosis subgroup, poor prognosis subgroup, and control group were located in the right lateral middle temporal gyrus temporal pole, the right fusiform gyrus, the right insula subfrontal gyrus, the left cuneate lobe, the right medial and paracortical cingulate gyrus, and the right supraparietal gyrus; the differential static ReHo regions were primarily found in the bilateral inferior temporal gyrus, the supraparietal gyrus, and the right subfrontal gyrus, the left medial supraparietal gyrus, the left median frontal gyrus, and the right marginal supraparietal gyrus; SUVR differences were in the affected superior, middle and inferior temporal lobes, the internal olfactory cortex and the temporal pole region. dReHo of right middle temporal gyrus temporal pole in patients with MRI-negative TLE showed a positive correlation with Engel classification ( r=0.421, P=0.020). The SVM model based on dReHo combined with SUVR values classified patients with good and poor prognosis with an AUC of 0.825 and an accuracy of 73.3%. Conclusions:In MRI-negative refractory TLE patients, abnormal dReHo regions are predominantly located in the contralateral default mode network areas and are associated with Engel classification. Combined with glucose metabolism values, dReHo can predict postoperative outcomes in MRI-negative TLE patients.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

A convenience sampling method was employed to recruit 445 food service employees from 67 Chinese restaurants across all 16 administrative districts of Beijing City from August to December in 2022. A questionnaire survey was conducted to assess their knowledge, attitudes, and behaviors regarding salt reduction and hypertension. The results revealed that awareness was highest for the statement "Hypertensive patients should reduce salt intake" (88.3%), while awareness of "China′s diagnostic criteria for hypertension" was the lowest (23.8%). Positive attitude endorsement rates were 96.0% for willingness to reduce salt, 95.3% for perceived self-efficacy in salt reduction, and 93.0% for agreement with a low-salt diet. Regarding behaviors, the rates of actively reducing salt when ordering takeout or dining out, using low-sodium salt, and using salt-reducing spoons were 73.7%, 45.4%, and 55.5%, respectively. The overall compliance rate for salt-reduction related behaviors was 73.9%. Multivariable logistic regression analysis demonstrated that: compared to the 18-29 age group, employees aged 30-39 ( OR=2.19, 95% CI: 1.16-4.14), 40-49 ( OR=3.36, 95% CI: 1.52-7.42), and 50-59 ( OR=3.25, 95% CI: 1.25-8.50) were significantly more likely to achieve compliance with salt-reduction behaviors; chefs were significantly more likely to achieve behavioral compliance compared to managerial staff ( OR=2.08, 95% CI: 1.08-3.98); employees in catering with adequate knowledge about salt reduction and hypertension were significantly more likely to exhibit behavioral compliance compared to those with inadequate knowledge ( OR=3.32, 95% CI: 1.83-5.92); employees in catering with positive attitudes towards salt reduction were significantly more likely to achieve behavioral compliance compared to those with negative attitudes ( OR=5.81, 95% CI: 2.05-16.43). In conclusion, food service employees in Beijing exhibit insufficient knowledge about salt intake and hypertension. While they demonstrate strong willingness to reduce salt, this does not consistently translate into action. Compliance with salt-reduction behaviors is influenced by age, education level, and job position. There is an urgent need to strengthen the dissemination of knowledge regarding high salt intake and hypertension and to implement personalized interventions targeting salt-reduction behaviors and skills.

A convenience sampling method was employed to recruit 445 food service employees from 67 Chinese restaurants across all 16 administrative districts of Beijing City from August to December in 2022. A questionnaire survey was conducted to assess their knowledge, attitudes, and behaviors regarding salt reduction and hypertension. The results revealed that awareness was highest for the statement "Hypertensive patients should reduce salt intake" (88.3%), while awareness of "China′s diagnostic criteria for hypertension" was the lowest (23.8%). Positive attitude endorsement rates were 96.0% for willingness to reduce salt, 95.3% for perceived self-efficacy in salt reduction, and 93.0% for agreement with a low-salt diet. Regarding behaviors, the rates of actively reducing salt when ordering takeout or dining out, using low-sodium salt, and using salt-reducing spoons were 73.7%, 45.4%, and 55.5%, respectively. The overall compliance rate for salt-reduction related behaviors was 73.9%. Multivariable logistic regression analysis demonstrated that: compared to the 18-29 age group, employees aged 30-39 ( OR=2.19, 95% CI: 1.16-4.14), 40-49 ( OR=3.36, 95% CI: 1.52-7.42), and 50-59 ( OR=3.25, 95% CI: 1.25-8.50) were significantly more likely to achieve compliance with salt-reduction behaviors; chefs were significantly more likely to achieve behavioral compliance compared to managerial staff ( OR=2.08, 95% CI: 1.08-3.98); employees in catering with adequate knowledge about salt reduction and hypertension were significantly more likely to exhibit behavioral compliance compared to those with inadequate knowledge ( OR=3.32, 95% CI: 1.83-5.92); employees in catering with positive attitudes towards salt reduction were significantly more likely to achieve behavioral compliance compared to those with negative attitudes ( OR=5.81, 95% CI: 2.05-16.43). In conclusion, food service employees in Beijing exhibit insufficient knowledge about salt intake and hypertension. While they demonstrate strong willingness to reduce salt, this does not consistently translate into action. Compliance with salt-reduction behaviors is influenced by age, education level, and job position. There is an urgent need to strengthen the dissemination of knowledge regarding high salt intake and hypertension and to implement personalized interventions targeting salt-reduction behaviors and skills.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

Objective:To investigate alterations in static regional homogeneity(ReHo) and dynamic regional homogeneity (dReHo) and glucose metabolism in MRI-negative refractory temporal lobe epilepsy (TLE) patients using resting-state PET-MRI, and to evaluate their efficacy in predicting surgical outcomes.Methods:This study was a cross-sectional design. A retrospective analysis was conducted on the clinical and imaging data of 30 patients with MRI-negative refractory TLE (patient group) treated at Xuanwu Hospital, Capital Medical University, between 2016 and 2020, and data from 30 healthy controls (control group). All MRI-negative refractory TLE patients underwent surgical treatment and were further divided into a good prognosis subgroup (Engel Class I, 16 cases) and a poor prognosis subgroup (Engel Class Ⅱ-Ⅳ, 14 cases) based on postoperative Engel classification. Analysis of variance was used to compare differences in static ReHo, dReHo, and glucose metabolism(SUVR) among the three groups. The correlation of static ReHo, dReHo, and SUVR values of differential brain regions with Engel grading was analyzed using Spearman. A support vector machine (SVM) model was constructed using the static ReHo, dReHo, and SUVR values from these differential regions to classify and predict patient prognosis. The predictive performance was evaluated using receiver operating characteristic curves and the area under the curve (AUC).Results:Differential dReHo regions among the good prognosis subgroup, poor prognosis subgroup, and control group were located in the right lateral middle temporal gyrus temporal pole, the right fusiform gyrus, the right insula subfrontal gyrus, the left cuneate lobe, the right medial and paracortical cingulate gyrus, and the right supraparietal gyrus; the differential static ReHo regions were primarily found in the bilateral inferior temporal gyrus, the supraparietal gyrus, and the right subfrontal gyrus, the left medial supraparietal gyrus, the left median frontal gyrus, and the right marginal supraparietal gyrus; SUVR differences were in the affected superior, middle and inferior temporal lobes, the internal olfactory cortex and the temporal pole region. dReHo of right middle temporal gyrus temporal pole in patients with MRI-negative TLE showed a positive correlation with Engel classification ( r=0.421, P=0.020). The SVM model based on dReHo combined with SUVR values classified patients with good and poor prognosis with an AUC of 0.825 and an accuracy of 73.3%. Conclusions:In MRI-negative refractory TLE patients, abnormal dReHo regions are predominantly located in the contralateral default mode network areas and are associated with Engel classification. Combined with glucose metabolism values, dReHo can predict postoperative outcomes in MRI-negative TLE patients.

Objective:To evaluate the value of time-of-flight (TOF) combined with point spread function (PSF) reconstruction for the improvement of brain PET images and lesion localization in patients with temporal lobe epilepsy (TLE).Methods:A retrospective collection of brain 18F-FDG PET imaging data of 52 hospitalized patients with TLE (30 males, 22 females, age: (26.7±7.1) years) and 26 healthy volunteers (14 males, 12 females, age: ( 31.7±6.8) years) from Xuanwu Hospital between 2017 and 2019 was conducted. Images were reconstructed and divided into 4 groups based on different algorithms: ordered subset expectation maximization (OSEM), OSEM+ TOF, OSEM+ PSF, and OSEM+ TOF+ PSF. The image quality, clarity, noise, and the clarity of lesion display of all subjects were visually analyzed using a four-point scale. The signal-to-noise ratio (SNR), contrast, and asymmetry index (AI) of the lesions were calculated. Differences in visual scores, SNR, contrast, and AI among the 4 groups were analyzed using one-way analysis of variance. The ROC curve was used to analyze the efficiency of PET images in localization of epileptogenic foci. Results:The visual score of OSEM+ TOF+ PSF group was the highest (4.0±0.0) among healthy volunteers; compared with OSEM group, OSEM+ TOF+ PSF group showed lower SNR (decreased by 46.6%; the lower the SNR value, the better the image quality) and contrast (increased by 29.8%). Visual assessment of PET images of patients with TLE showed that the scores of OSEM+ TOF+ PSF group , OSEM+ PSF group , OSEM+ TOF group and OSEM group were decreased in order (4.0±0.0 vs 3.4±0.5 vs 2.3±0.4 vs 1.0±0.0; F=884.0, P<0.001); SNRs of those 4 groups were increased in order ((5.2±2.4)% vs (6.2±2.4)% vs (7.9±2.6)% vs (8.9±3.5)%; F=18.82, P<0.001). The contrast and AI of the lesions in 4 groups were as follows: OSEM+ TOF+ PSF (contrast: 0.81±0.03; AI: 0.28±0.05) > OSEM+ TOF (0.74±0.05; 0.23±0.06) > OSEM+ PSF (0.72±0.06; 0.22±0.07) > OSEM (0.64±0.05; 0.19±0.06) ( F values: 107.10, 19.94, both P<0.001). MRI found unilateral hippocampal sclerosis in 32 patients, and the rest 20 patients with TLE were MRI-negative. ROC curve analysis showed that visual analysis and SUV ratio (SUVR) of lesion/contralateral ROI based on OSEM+ TOF+ PSF PET image could localize epileptogenic foci efficiently, with AUC of 0.874 in MRI-positive patients, and AUC of 0.932 in MRI-negative patients. Conclusions:The application of TOF and PSF significantly improves the quality of PET images. The combined use of both techniques yields the best results and aids in the localization of epileptogenic foci in patients with TLE.

Objective:To explore the pathogenesis of flunarizine-induced parkinsonism from gut-brain axis perspective.Methods:Thirty male C57BL/6 mice were randomly divided into control group and flunarizine group ( n=15). Mice in the control group were given 0.1 mL 50% polyethylene glycol 400+50% saline by gavage once/d for 2 weeks, while mice in the flunarizine group were given 6 mg/mL flunarizine+50% polyethylene glycol 400+50% saline by gavage at a daily dose of 30 mg/kg for 2 weeks. Body mass was recorded 1, 3, 5, 7, 10 and 14 d after drug administration, and motor function was assessed by rotarod test 14 d after drug administration; 16s RNA sequencing was performed in the feces to observe the intestinal flora; intestinal transit function was detected by Evans blue by gavage; and then, the mice were sacrificed and homogenate or frozen sections (brain and intestinal tissues) were prepared; dopamine-ergic neuron expression was detected by Western blotting; RT-qPCR was applied to detect the expressions of inflammatory factors in the substantia nigra, and immunofluorescent staining was used to detect the expressions of ZO-1 and Claudin-5 in the intestinal epithelial tissues. Results:Compared with the control group, the flunarizine group had lower body mass ratio 1, 3, 5, 7, 10 and 14 d after drug administration (ratio to body mass before drug administration). Compared with the control group, the flunarizine group had significantly shortened residence time in rod rotating and lower rotational speed when falling ( P<0.05). Compared with the control group, the flunarizine group had decreased tyrosine hydroxylase protein in the substantia nigra without significant difference ( P>0.05). Compared with the control group, the flunarizine group had significantly increased interleukin-6 and tumor necrosis factor-α in the substantia nigra (1.00±0.00 vs. 2.79±0.83; 1.00±0.00 vs. 3.39±1.37), significantly lower intestinal Evans blue propulsion rate (80.67%±4.51% vs. 50.67%±6.03%), and statistically decreased ZO-1 and Claudin-5 expressions in the colonic epithelial tissues (27.01±1.41 vs. 16.32±2.83; 37.00±2.80 vs. 24.52±2.12, P<0.05). Totally, 576 microorganisms were noted in both control group and flunarizine group, 744 in the control group alone, and 634 in the flunarizine group alone. The intestinal flora β diversity indices in the 2 groups were significantly different based on weighted Unifrac-principle coordinates analysis (PCoA, PCoA1: 39.88%; PCoA2: 30.69%). Compared with the control group, the microbial colony structure of mice in flunarizine group was dominated by phylum thick-walled bacteria and phylum warty microbacteria, and by families Muribaculaceae, Lachnospiraceae and Akkermansiaceae. Compared with the control group, the flunarizine group had significantly decreased relative abundance of Ackermannia spp. and Lactobacillus spp. in the intestinal flora ( P<0.05). Conclusion:Flunarizine may contribute to the pathogenesis of DIP by causing structural disturbances in the intestinal flora and inducing neuroinflammation based on the gut-brain axis.

Objective:To compare the dynamic changes of transcutaneous partial pressure of carbon dioxide (PtCO 2) and treatment effect of non-invasive intermittent nebulization and non-invasive simultaneous nebulization in patients with acute exacerbation of chronic obstructive pulmonary disease (COPD). Methods:This was a randomized parallel controlled trial study. A total of 70 patients with acute exacerbation of COPD in Changzhou First People′s Hospital from October 2021 to September 2022 were selected by convenience sampling method, and divided into control group and experimental group by randomized digits table method with 35 cases in each group. The control group was given non-invasive intermittent oxygen-driven nebulization, and the experimental group was given non-invasive simultaneous oxygen-driven nebulization. The PtCO 2 values at 0, 5, 10, 15 min (the end point of atomization) of the 2 groups were observed, the daily arterial blood gas analysis indexes (mainly including PaCO 2, PaO 2 and pH) were recorded, and the clinical pulmonary infection score and the self-assessment score of COPD patients were recorded before treatment, on the 4th and 7th day of treatment. Results:Finally, 33 patients were included in both the control group and the experimental group. There were 25 males and 8 females in the control group, aged (75.33 ± 8.24) years old. There were 25 males and 8 females in the experimental group, aged (72.39 ± 8.56) years old. The PtCO 2 values at 0, 5, 10, 15 min in the control group were (63.83 ± 12.47), (64.40 ± 12.57), (65.42 ± 13.77), (66.62 ± 14.59) mmHg (1 mmHg=0.133 kPa). There were statistically significant differences in PtCO 2 at all time points ( F=8.05, P<0.01). Further pairwise comparison by Sidak method showed that there were statistically significant differences in PtCO 2 at 15 min compared with 0, 5, 10 min (all P<0.05). The PtCO 2 values at 0, 5, 10, 15 min in the experimental group were (67.62 ± 11.89), (67.15 ± 12.12), (67.82 ± 12.22), (68.15 ± 12.09) mmHg. There was no statistically significant difference in PtCO 2 at all time points ( F=2.00, P>0.05). The PaCO 2 and pH value of the two groups were improved with the treatment time, the control group had a statistically significant difference on the 4th day of treatment compared with before treatment ( P<0.05), while the experimental group on the second day of treatment compared with before treatment ( P<0.05). Conclusions:Both kinds of nebulization have achieved good therapeutic effects, but non-invasive simultaneous nebulization can better maintain the stability of PtCO 2 in the process of nebulization with higher safety, and can improve the arterial blood gas index PaCO 2 and pH value of patients earlier, which is a more suitable nebulization method for the combination of non-invasive ventilation and nebulization, especially for patients with hypercapnia.

Objective: To investigate the effect of Guangdong Shenqu (GSQ) on intestinal flora structure in mice with food stagnation through 16S rDNA sequencing. Methods: Mice were randomly assigned to control, model, GSQ low-dose (GSQL), GSQ medium-dose (GSQM), GSQ high-dose (GSQH), and lacidophilin tablets (LAB) groups, with each group containing 10 mice. A food stagnation and internal heat mouse model was established through intragastric administration of a mixture of beeswax and olive oil (1:15). The control group was administered normal saline, and the model group was administered beeswax and olive oil to maintain a state. The GSQL (2 g/kg), GSQM (4 g/kg), GSQH (8 g/kg), and LAB groups (0.625 g/kg) were administered corresponding drugs for 5 d. After administration, 16S rDNA sequencing was performed to assess gut microbiota in mouse fecal samples. Results: The model group exhibited significant intestinal flora changes. Following GSQ administration, the abundance and diversity index of the intestinal flora increased significantly, the number of bacterial species was regulated, and α and β diversity were improved. GSQ administration increased the abundance of probiotics, including Clostridia, Lachnospirales, and Lactobacillus, whereas the abundance of conditional pathogenic bacteria, such as Allobaculum, Erysipelotrichaceae, and Bacteroides decreased. Functional prediction analysis indicated that the pathogenesis of food stagnation and GSQ intervention were primarily associated with carbohydrate, lipid, and amino acid metabolism, among other metabolic pathways. Conclusion The digestive mechanism of GSQ may be attributed to its role in restoring diversity and abundance within the intestinal flora, thereby improving the composition and structure of the intestinal flora in mice and subsequently influencing the regulation of metabolic pathways.