ObjectiveTo observe the effects of Jiangtang No. 3 prescription on inflammatory pathways and insulin resistance-related indicators in rats with type 2 diabetes mellitus （T2DM）， and to elucidate its molecular mechanism in combating diabetes. MethodsA T2DM rat model was established using a high-fat diet combined with intraperitoneal injection of streptozotocin （STZ）. Successfully modeled rats were randomly assigned to the model group， metformin group， and low-， medium-， and high-dose Jiangtang No. 3 prescription groups， and a normal group was also set. Daily gavage was administered for 8 weeks as follows： metformin at 0.1 g·kg^-1·d^-1， Jiangtang No. 3 prescription granules at 1.62， 3.24， 6.48 g·kg^-1·d^-1 for the respective dose groups， and sterile water for the normal and model groups. Rat body weight， fasting blood glucose （FBG）， oral glucose tolerance test （OGTT）， and insulin tolerance test （ITT） were measured. After drug intervention， enzyme-linked immunosorbent assay （ELISA） was used to determine serum levels of total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL）， high-density lipoprotein cholesterol （HDL）， non-esterified fatty acids （NEFA）， interleukin （IL）-1β， IL-18， and insulin （INS）. Hematoxylin-eosin （HE） staining was used to observe morphological changes in adipose tissue. Real-time quantitative PCR was used to detect the mRNA expression of Toll-like receptor 4 （TLR4）， nuclear factor-κB （NF-κB）， NOD-like receptor protein 3 （NLRP3）， Caspase-1， IL-1β， IL-18， and gasdermin D （GSDMD） in adipose tissue. Western blot was used to measure the corresponding protein expression levels. ResultsCompared with the model group， Jiangtang No. 3 prescription groups exhibited significantly increased body weight （P<0.05， P<0.01）， significantly reduced FBG （P<0.05， P<0.01）， significant reductions in TC， TG， NEFA， and LDL （P<0.05， P<0.01）， and a significant increase in HDL （P<0.01）. Serum levels of inflammatory mediators IL-1β and IL-18 were significantly decreased （P<0.01）， the homeostatic model assessment of insulin resistance （HOMA-IR） index was significantly reduced （P<0.05， P<0.01）， and adipose tissue pathology was improved. The protein expression levels of TLR4， NF-κB， NLRP3， Caspase-1， IL-1β， IL-18， and GSDMD were markedly decreased （P<0.05， P<0.01）， and the mRNA expression levels of these indicators were also significantly downregulated （P<0.05， P<0.01）. Some effects were superior to those of the positive control drug metformin， and certain indicators exhibited dose-dependent improvements. ConclusionT2DM rats display significant inflammatory responses， disordered glucose and lipid metabolism， and insulin resistance. Jiangtang No. 3 prescription effectively suppresses inflammatory mediators， improves glucose and lipid metabolism and insulin resistance， and ameliorates pathological changes in adipose tissue. Its mechanism may be related to the regulation of the TLR4/NF-κB/NLRP3 signaling pathway in visceral adipose tissue， thereby influencing downstream inflammatory mediators.

ObjectiveTo observe the expression of miR-139/Notch1 axis and macrophage polarization in the homing changes of bone mesenchymal stem cells （BMSCs） in asthmatic rats， and to explore the possible mechanism of immune regulation by BMSCs during asthma. Methods30 male SD rats were randomly divided into three groups： normal control group， model control group and BMSCs implantation group， with 10 rats in each group. BMSCs labeled with CFSE were infused into the body of asthmatic rats through the tail vein， and the homing status of BMSCs in asthmatic lung tissue was detected by flow cytometry. Changes in the proportion of inflammatory cells in alveolar lavage fluid were detected by Wright-Giemsa Stain； the levels of macrophage polarization cytokines IFN⁃γ，IL-13，CD80 and CD206 in rat serum were detected by ELISA； the miR-139， Notch1， NOS2， Arg1 and CXCR4 in lung tissue were detected by RT-qPCR. ResultsCompared with the NC group， the expression of serum CD80 and IFN⁃γ in the MC group decreased， while the expression of IL-13 and CD206 increased （P<0.01）. The expression of miR⁃139 in lung tissue of MC group rats decreased， and the expression of macrophage polarization markers NOS2， Arg1， and homing marker CXCR4 genes increased （P<0.01）. Compared with the MC group， the expression of IFN-γ of rats in BMSCs group increased， while the expression of IL-13 and CD206 decreased （P<0.01）. The expression of miR⁃139， CXCR4， and SDF⁃1 mRNA in the lung tissue of rats of BMSCs group increased， while the expression of Notch1， NOS2， and Arg1 decreased （P<0.01）. Correlation analysis showed that CXCR4 was positively correlated with miR⁃139 （P<0.05）， while CXCR4 was negatively correlated with Notch1 （P<0.05）. SDF⁃1 and IFN⁃γ was a positively correlated （P<0.05）， while SDF⁃1 was negatively correlated with Arg1 and CD206 （P<0.05）. ConclusionThe miR⁃139/Notch1 axis can promote BMCs homing in asthmatic rats by affecting macrophage polarization in asthma.

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 construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

Objective:To investigate the current situation of knowledge, attitude and practice of medical personnel in areas with high incidence of fever with thrombocytopenia syndrome (SFTS) in Anhui Province, in order to provide a scientific basis for conducting systematic training for medical personnel.Methods:From July to August 2024, a multi-stage random sampling method was used to select medical personnel from village, township, county, and city level medical institutions in high incidence areas of SFTS in Anhui Province (Hefei City, Liu'an City, Chuzhou City, Xuancheng City) for an online questionnaire survey on their knowledge, attitude, and practice status. The survey included demographic data, knowledge, attitude, and practice related to SFTS, and a binary logistic regression model was used to analyze the influencing factors of SFTS knowledge qualification rate.Results:A total of 2 718 valid questionnaires were collected, with an effective response rate of 99.60% (2 718/2 729). Among them, 1 384 were males, accounting for 50.92%. The majority were medical personnel aged 41 to 50 years old, with undergraduate degrees, junior professional titles, working in township health centers or community health service centers, as clinical physicians, and with a working experience of no more than 10 years. They accounted for 31.97% (869/2 718), 50.48% (1 372/2 718), 35.54% (966/2 718), 38.52% (1 047/2 718), 62.33% (1 694/2 718), and 30.61% (832/2 718), respectively. The overall correct rates of medical personnel's relevant knowledge, attitude and practice were 77.52% (31 605/40 770), 94.53% (12 847/13 590) and 89.73% (12 194/13 590), respectively. There were statistically significant differences in the knowledge qualification of medical personnel of different genders, ages, education levels, professional titles, hospital levels, job positions, and years of work experience ( P < 0.05). The results of binary logistic regression analysis showed that professional title, hospital level, work position, and work experience were the influencing factors of knowledge qualification rate ( P < 0.05). Conclusions:Medical personnel have a relatively positive attitude and high level of practice towards SFTS, but their knowledge level still needs to be improved. It is recommended to provide targeted knowledge training for medical personnel in different positions to promote early detection, diagnosis, and treatment of SFTS.

Objective:To investigate the role of microRNA-25-5p (miR-25-5p) in melanogenesis, and to explore its underlying mechanisms.Methods:Target genes of miR-25-5p were predicted using the TargetScan database. The interaction between miR-25-5p and the 3' untranslated region (3' UTR) of the RAB11B gene (a member of RAS oncogene family) was validated through a dual-luciferase reporter assay. Post-inflammatory hyperpigmentation (PIH) models were established in female C57BL/6J mice (6 - 8 weeks old) and female brown guinea pigs (4 - 6 weeks old) through daily broadband ultraviolet B (UVB) irradiation on the dorsal skin of the mouse ear or shaved dorsal skin of guinea pigs, while untreated mice and untreated dorsal skin areas of guinea pigs served as control groups. During modeling, these experimental animals received intradermal injections of a miR-25-5p agomir or a miR control agomir. Changes in skin pigmentation were observed, and skin tissue samples were harvested for further analysis after modeling. Melanin content in skin tissues was evaluated using Masson-Fontana staining. Expression of RAB11B and tyrosinase (TYR) in skin tissues was determined using immunohistochemical staining and quantitative real-time PCR (qPCR). Primary human melanocytes were isolated from discarded normal foreskin tissues of healthy males after circumcision. Both primary human melanocytes and human MNT1 melanoma cells were transfected with miR-25-5p mimics or miR control mimics. Relative expression levels of miR-25-5p and RAB11B mRNA were quantified by qPCR using the 2 -ΔΔCt calculation method. In MNT1 cells, miR-25-5p and RAB11B were co-overexpressed to assess their effect on the mRNA expression of RAB11B and TYR. Statistical analysis was conducted using t test or one-way analysis of variance followed by Tukey's post hoc test for multiple comparisons. Results:The bioinformatic prediction and dual-luciferase reporter assay confirmed a binding site for miR-25-5p in the 3′ UTR of the RAB11B gene. In both animal models, the treatment with the miR-25-5p agomir significantly reduced local skin pigmentation compared to the control groups; Masson-Fontana staining showed a marked decrease in the density of melanin granules in the epidermis and dermis in the miR-25-5p agomir groups compared with the miR control agomir groups (mice: 0.050 ± 0.005 vs. 0.087 ± 0.008; guinea pigs: 0.067 ± 0.015 vs. 0.110 ± 0.013; both P < 0.05). Immunohistochemical staining revealed significantly lower expression of RAB11B in mouse skin tissues in the miR-25-5p agomir group than in those in the miR control agomir group (both P < 0.05). qPCR revealed significantly lower mRNA expression of RAB11B and TYR in skin tissues of guinea pigs in the miR-25-5p agomir group than in those in the miR control agomir group (both P < 0.05). Similarly, RAB11B mRNA expression significantly decreased in the miR-25-5p mimics group compared with the miR control mimics group in primary human melanocytes and MNT1 cells (both P < 0.05). In human MNT1 melanoma cells, miR-25-5p overexpression could suppress TYR mRNA expression, whereas co-overexpression of miR-25-5p and RAB11B could reverse this suppression. Conclusion:Overexpression of miR-25-5p could alleviate UVB-induced post-inflammatory hyperpigmentation and inhibit melanogenesis, likely by targeted suppression of RAB11B expression.

Objective:To investigate the current situation of knowledge, attitude and practice of medical personnel in areas with high incidence of fever with thrombocytopenia syndrome (SFTS) in Anhui Province, in order to provide a scientific basis for conducting systematic training for medical personnel.Methods:From July to August 2024, a multi-stage random sampling method was used to select medical personnel from village, township, county, and city level medical institutions in high incidence areas of SFTS in Anhui Province (Hefei City, Liu'an City, Chuzhou City, Xuancheng City) for an online questionnaire survey on their knowledge, attitude, and practice status. The survey included demographic data, knowledge, attitude, and practice related to SFTS, and a binary logistic regression model was used to analyze the influencing factors of SFTS knowledge qualification rate.Results:A total of 2 718 valid questionnaires were collected, with an effective response rate of 99.60% (2 718/2 729). Among them, 1 384 were males, accounting for 50.92%. The majority were medical personnel aged 41 to 50 years old, with undergraduate degrees, junior professional titles, working in township health centers or community health service centers, as clinical physicians, and with a working experience of no more than 10 years. They accounted for 31.97% (869/2 718), 50.48% (1 372/2 718), 35.54% (966/2 718), 38.52% (1 047/2 718), 62.33% (1 694/2 718), and 30.61% (832/2 718), respectively. The overall correct rates of medical personnel's relevant knowledge, attitude and practice were 77.52% (31 605/40 770), 94.53% (12 847/13 590) and 89.73% (12 194/13 590), respectively. There were statistically significant differences in the knowledge qualification of medical personnel of different genders, ages, education levels, professional titles, hospital levels, job positions, and years of work experience ( P < 0.05). The results of binary logistic regression analysis showed that professional title, hospital level, work position, and work experience were the influencing factors of knowledge qualification rate ( P < 0.05). Conclusions:Medical personnel have a relatively positive attitude and high level of practice towards SFTS, but their knowledge level still needs to be improved. It is recommended to provide targeted knowledge training for medical personnel in different positions to promote early detection, diagnosis, and treatment of SFTS.

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 construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

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.