Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To investigate the correlation among α2, 6-sialyltransferase (ST6Gal-Ⅰ), CD36 desialylation, and caveolin-1 (Cav-1) in phorbol ester (PMA)-induced MEG-01 cell model, as well as their potential mechanism in immune thrombocytopenia (ITP). Methods: MEG-01 cells were treated with 10 ng/mL PMA for 48 hours (control group: 0.1% DMSO). Flow cytometry was used to detect cell surface markers: desialylation (CD41 RCA ) and α2, 6-sialylation (CD41 SNA ). Western blot was performed to analyze the protein expressions of ST6Gal-Ⅰ, CD36, and Cav-1. Results: Flow cytometry analysis revealed that, compared with the control group (set as 100%), the proportion of CD41 RCA positive cells in the MEG-01 cells after PMA intervention significantly increased to (127.79±2.01)%, while the proportion of CD41 SNA positive cells significantly decreased to (78.09±1.76)% (both P<0.05). Western blot analysis results showed that, compared with the control group, PMA intervention significantly downregulated the expression of ST6Gal-Ⅰ protein (0.602±0.023 vs 0.768±0.068) and Cav-1 protein (1.012±0.028 vs 1.253±0.068) (both P<0.05), while significantly upregulating the expression of CD36 protein (0.936±0.033 vs 0.694±0.070, P<0.05). Conclusion: PMA can significantly inhibit the expression of ST6Gal-Ⅰ, accompanied by increased desialylation (β-galactose exposure), elevated CD36, and downregulated Cav-1. These changes suggest that the increased exposure of CD36 antigen and the disorder of membrane microenvironment may be involved in the pathological process of ITP, providing a new direction for mechanism research.

ObjectiveTo validate the efficacy of Yunpi Huatan Tongqiao prescription （YHTP） in down-regulating glycolysis to modulate microglia phenotype and improve inflammation and cognitive memory deficits in obstructive sleep apnea （OSA） mice. MethodForty-eight male Balb/C mice were randomly divided into a normal group， a model group， a montelukast sodium group （30 mg·kg^-1）， and low， medium， and high dose groups of YHTP （8.28， 16.56， and 33.12 g·kg^-1）， with 8 mice in each group. All groups， except the normal group， received intraperitoneal injections of lipopolysaccharide （LPS） and underwent chronic intermittent hypoxia （CIH） modeling for 4 weeks. Subsequently， the mice were treated with medications for 4 weeks and then sampled. Animal behavioral tests assessed memory impairment due to hypoxia. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to measure mRNA expression levels of M1-associated inflammatory factors interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and markers such as T lymphocyte activation antigen （CD86） and inducible nitric oxide synthase （iNOS）， as well as M2-associated inflammatory factors interleukin-10 （IL-10）， transforming growth factor-β （TGF-β）， and the marker mannose receptor （CD206） in hippocampal tissue. Western blot was employed to detect differences in the expression of M1 and M2 microglia phenotypic markers （CD86， CD206） and glycolysis-related proteins glucose transporter type 1 （GLUT1）， hexokinase 2 （HK2）， phosphofructokinase （PFKM）， pyruvate kinase 2 （PKM2）， and monocarboxylic acid transporter 1 （MCT1）. ResultBehavioral tests showed that compared to the results in the normal group， the Y-maze autonomous alternation rate was significantly reduced in the model group （P<0.01）. The latency time for the target hole in the Barnes' maze during the training period （days 2， 3， 4） and testing period （days 5， 12） was significantly increased （P<0.05， P<0.01）. M1 glial cell markers CD86 and iNOS， as well as inflammatory factors IL-1β and TNF-α mRNA， were significantly elevated （P<0.01）. In contrast， the mRNA expression of M2 glial cell markers IL-10， CD206， and TGF-β was significantly reduced （P<0.01）. The protein expression of glycolytic proteins HK2， PFKM， PKM2， MCT1， and the M1 marker CD86 was significantly increased （P<0.05， P<0.01）， while M2 marker CD206 protein expression was significantly decreased （P<0.01）. Compared to the results in the model group， the Y-maze autonomous alternation rate was significantly increased in the medium and high dose groups of YHTP （P<0.05， P<0.01）. The latency time for the target hole during the training （day 4） and testing periods （days 5， 12） was significantly reduced （P<0.01）. Real-time PCR results indicated that mRNA expression levels of M1-related pro-inflammatory factors in the hippocampal tissue were significantly reduced in the low， medium， and high dose groups of YHTP （P<0.01）， while M2-related inflammatory factors' mRNA expression was significantly increased （P<0.01）. Western blot results showed that in the medium and high dose groups of YHTP， the expression of the M1 marker CD86 in the hippocampus was reduced， whereas the expression of the M2 marker CD206 was significantly increased （P<0.01）， with a significant decrease in the expression of glycolysis-related proteins （P<0.01）. ConclusionYHTP can improve inflammation and cognitive impairment induced by hypoxia in OSA model mice. This is achieved by downregulating glycolysis in brain microglia， inhibiting M1 activation， reducing pro-inflammatory factor release， and promoting M2 activation， thereby exerting a therapeutic effect on inflammation and cognitive impairment caused by OSA.

Objective:To predict the molecular mechanism of Biminkang Granules in the treatment of allergic rhinitis using network pharmacological methods combined with animal experiments.Methods:Active component targets and allergic rhinitis targets were screened from TCMSP, OMIM, GeneCards, TTD, DrugBank and PharmGKB databases; R language software was used to map the intersection of drug and disease targets; Cytoscape software and String platform were used to construct intersection target PPI network and conduct network topology analysis; DAVID platform was used to perform GO enrichment and KEGG pathway analysis, and perform molecular docking verification on the main active components and key targets. 32 rats were divided into a blank group of 8 and a model group of 24 using a random number table method. Model rats were induced by ovalbumin to establish an allergic rhinitis model. 24 SD rats that were successfully modeled and were randomly divided into model group, Western medicine group, and Biminkang Granules group using a random number table method, with 8 rats in each group. The Western medicine group was gavaged with 1 mg/kg of loratadine solution, the Biminkang Granules group was gavaged with 4.1 g/kg of Biminkang Granules solution, and the blank group and model group rats were gavaged with the same volume of physiological saline once a day for 2 consecutive weeks. The symptoms of rhinitis in each group of rats for 30 minutes were observed and recorded, and the pathological changes of the rat nasal mucosa were observed using HE staining. ELISA method was used to detect the levels of IL-17 and IL-6 in rat serum, and Western blot method was used to determine the expressions of TNF and STAT3 proteins in rat tissues.Results:A total of 41 target proteins of BiMinKang Dranule in the treatment of allergic rhinitis were predicted, and TNF, STAT3 and other core target proteins were obtained by PPI network topology analysis. The biological process of GO involved drug response, inflammatory response, cytokine response, etc.KEGG enrichment is involved in Th17 cell differentiation, lipid and atherosclerosis, IL-17, toll-like receptor and other pathways. Molecular docking results indicated that the main active components had good binding activity to key target proteins.Animal experiments showed that BiMinKang Dranule could improve the inflammatory symptoms of allergic rhinitis rats, down-regulate the expression of IL-17 and IL-6 in blood, and inhibit the expression of TNF and STAT3 proteins.Conclusion:Biminkang Granules can treat allergic rhinitis through multiple active components, multiple target proteins and multiple pathways, and the mechanism may be related to the regulation of Th17 cell differentiation pathway related proteins.

Purpose To observe the right ventricle and left ventricle blood pool T2 map in chronic thromboembolic pulmonary hypertension(CTEPH)and healthy controls,and to analyze the value of T2 mapping technique in evaluating CTEPH.Materials and Methods A total of 42 patients with CTEPH and 42 healthy volunteers had been prospectively recruited from January 2020 to January 2022 in China-Japan Friendship Hospital.All CTEPH patients underwent cardiac magnetic resonance with T2 mapping and right heart catheterization.Cardiac magnetic resonance was performed on healthy controls.Diastolic T2 mapping was performed in cardiac magnetic resonance,and then the ratio of right ventricular to left ventricular T2 values(RVT2/LVT2)between the CTEPH group and the healthy group was calculated and compared.Meanwhile,the correlation between RVT2/LVT2 and hemodynamic parameters in the CTEPH group was analyzed.Results RVT2/LVT2 in the CTEPH group was significantly lower than that in the healthy group(0.74±0.16 vs.0.86±0.12;t=3.673,P<0.001).RVT2/LVT2 in CTEPH group was negatively correlated with pulmonary vascular resistance(r=-0.534,P<0.001);while it was positively correlated with cardiac index,right atrium oxygen saturation,right ventricle oxygen saturation and pulmonary arteries oxygen saturation(r=0.600,0.603,0.648,0.582,P<0.001).Conclusion RVT2/LVT2 in the CTEPH group is positively correlated with right cardiac oxygen saturation and negatively correlated with pulmonary vascular resistance.T2 mapping may be a noninvasive evaluation of hemodynamics in CTEPH.

Objective To construct myeloid-specific Spi1 gene knockout mice and analyze their genotypes,so as to provide animal model basis for the study of pathological mechanism of diseases and drug targets.Methods Ac-cording to the principle of CRISPR/Cas9 technology and Cre/LoxP system,sgRNA and Donor vectors were de-signed and constructed.The transcript of Exon 2(Exon 2)was used as the knockout region,and Loxp elements were placed on both sides of Exon 2.Cas9 protein,sgRNA and Donor vector were mixed and microinjected into the fertilized eggs of C57BL/6J mice,the fertilized eggs were transplanted into the uterus of C57BL/6J pregnant female mice,and F0 generation was obtained after 19～20 days.Positive F0 mice were mated with C57BL/6J mice to ob-tain stable F1 Spi1flox/+mice.Spi1flox/+mice of F1 generation were selfed to obtain Spi1flox/flox mice.Spi1flox/flox mated with Lyz2-Cre+mice to obtain Spi1flox/+/Lyz2-Cre+mice,and then mated with Spi1flox/flox,the Spi1flox/flox/Lyz2-Cre+mice were myeloid-specific Spi1 gene knockout(KO)mice.Spi1flox/flox/Lyz2-cre-mice were used as wild-type(WT)mice.DNA of WT and KO mice was extracted,and the genotypes were identified by agarose gel electro-phoresis after PCR amplification.Western blot was used to detect the expression of spleen focus forming virus provi-ral integration oncogene,Spi-1/purine rich box-1(PU.1)in immune cells of WT and KO mice.Results The results of PCR identification showed that the genotype of mice with only 220 bp amplified by flox primer was Spi1flox/flox homozygote,and the genotype of mice with 700 bp amplified by Lyz2-Cre primer was Lyz2-Cre+.Western blot showed that compared with WT group,the protein PU.1 was not expressed in bone marrow-derived macropha-ges(BMDMs)and peritoneal macrophages(PM)in KO group(P<0.01).There was no significant difference of statistics in the expression level of PU.1 in T cells between KO mice and WT mice.The results of PCR and West-ern blot showed that myeloid-specific Spi1 KO mice were successfully constructed.Conclusion The myeloid-spe-cific Spi1 gene KO mice are successfully constructed and identified,which provides animal model basis for further revealing the potential mechanism of PU.1 inimmune regulation.