OBJECTIVE To explore the potential mechanism by which drug-containing serum of Dianxianqing granules （DXQ） inhibits microglial ferroptosis. METHODS Male SD rats were given normal saline and Dianxianqing granules solution via intragastric administration to prepare normal serum and DXQ， respectively. Mice microglia BV2 cells were collected and successfully transfected with a negative control small interfering RNA （si-NC）， and then they were included in the si-NC group and cultured under normal conditions. Cells successfully transfected with small interfering RNA targeting glutathione peroxidase 4 （GPX4） （si-GPX4） were divided into the si-GPX4 group， the CsA group （treated with 1 μmol/L cyclosporine A）， and the DXQ- L， DXQ-M and DXQ-H groups （treated with 5%， 7% and 10% DXQ， respectively）. These groups were subsequently treated with their corresponding drug solutions and ferroptosis inducer Erastin （10 μmol/L）. The intracellular levels of total iron ions， glutathione （GSH）， reactive oxygen species （ROS）， and the expression of mitochondrial superoxide were determined in each group after 48 h of treatment. Additionally， mitochondrial membrane potential， the opening degree of mitochondrial permeability transition pore （MPTP）， and mRNA expressions of GPX4 and cyclophilin D （CypD） were detected. Furthermore， the expressions of ferroptosis-related proteins[GPX4， transferrin receptor 1 （TfR1） and ferritin heavy chain 1 （FTH1）]， as well as MPTP-related proteins [adenine nucleotide translocator （ANT）， cytochrome C （CytC）， mitochondrial calcium uniporter （MCU） and CypD] were assessed. RESULTS Compared with si-NC group， the levels of total iron ions and ROS， the expression level of mitochondrial superoxide， the opening degree of MPTP， protein and its mRNA expressions of CypD as well as protein expressions of TfR1 and MCU were increased or up-regulated significantly （P＜0.01）； however， GSH content， mitochondrial membrane potential， protein and mRNA expressions of GPX4， and protein expressions of FTH1， ANT and CytC were decreased or down-regulated significantly （P＜0.01）. Compared with the si-GPX4 group， the cells in the DXQ-M， DXQ-H groups showed a general improvement in the above quantitative indicators （P＜0.01 or P＜0.05）. CONCLUSIONS DXQ can enhance antioxidant capacity by activating the GSH/GPX4 pathway， regulate the expressions of TfR1 and FTH1 protein to correct iron ion homeostasis， inhibit excessive opening of MPTP to improve mitochondrial function， and ultimately suppress microglial ferroptosis.

Background Co-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying mechanisms remain poorly understood. The specific biological effects resulting from co-exposure to these two factors have yet to be fully elucidated. Objective To clarify the effects of co-exposure to noise and microwave on neurobehavior and hippocampal tissue structure, and to explore the underlying mechanism through the assessment of serum cytokines. Methods C57BL/6N mice were selected and randomly assigned to a blank control group, a noise group, a microwave group, and a combined noise & microwave exposure group. To establish the exposure models, the noise group was subjected to broadband noise at 100 dB for 2 h, while the microwave group received radiation at a central frequency of 9.375 GHz with an average power density of 12 mW·cm⁻² and a specific absorption rate of 2.58 W·kg⁻¹ for 15 min. Open field and tail suspension tests assessed anxiety-like emotional behaviour; novel object recognition and Y-maze tests evaluated cognitive function. Histological changes in hippocampal tissue were examined using haematoxylin and eosin (HE) staining, and Nissl staining under light microscopy. Serum cytokine levels were measured using radioimmunoassay and enzyme-linked immunosorbent assay (ELISA). Results After 3 d of exposure, the noise, microwave, and combined exposure groups showed significant reductions in exploration frequency, duration, and distance within the central zone of the open field test compared to the control group (P < 0.01); the combined exposure group exhibited increased ratios of peripheral-to-central exploration time and distance (P < 0.05). After 7 d of exposure, compared with the control group, the noise group maintained a decrease in central zone exploration time (P < 0.01), while the combined exposure group showed persistent decline across all central zone metrics (P < 0.05) and elevated peripheral-to-central ratios (P < 0.05); compared to the microwave group, the combined exposure group showed significant less time in the central zone (P < 0.05) and higher peripheral-to-central ratios (P < 0.05). Regarding behaviour and cognition, compared with the control group, the combined exposure group showed increased immobility time in the tail suspension test after 3 d of exposure (P < 0.01). At this interval, all exposure groups demonstrated reduced frequency and duration of novel object recognition (P < 0.05), with the combined exposure group showing a marked decrease in novel arm exploration time (P < 0.01). After 7 d of exposure, compared with the control group, the noise group showed reduced novel object recognition frequency (P < 0.05), and both the noise and microwave groups exhibited decreased novel arm exploration time (P < 0.05). Pathological alterations including an increased number of hyperchromatic nuclei and depleted Nissl bodies were observed in the CA3 and DG regions across all exposure groups with the most severe lesions observed in the combined exposure group. Serum levels of central nervous system-specific protein β (S-100β), glial fibrillary acidic protein (GFAP), and corticosterone (CORT) were significantly elevated in all exposure groups compared with the control group (P < 0.05). Aquaporin-4 (AQP4) levels increased in the combined exposure group (P < 0.05), while CXC chemokine ligand 10 (CXCL10) levels rose in both the noise and combined groups compared with the control group (P < 0.05). Specifically, S-100β and CXCL10 levels in the combined exposure group were higher than those in the microwave group (P < 0.05); moreover, levels of S-100β, GFAP, CORT, AQP4, and CXCL10 in the combined exposure group were significantly higher than those in the noise group (P < 0.05). Conclusion Combined exposure to noise and microwave radiation induces pathological changes in the hippocampus of mice, increases levels of serum stress hormones and neuro-specific biomarkers. These impairments are more severe than those observed following single-factor exposure. The underlaying mechanism may be related to systemic stress response, neuronal damage, astrocyte activation, and changes in blood-brain barrier permeability, leading to emotional behavioral abnormalities and cognitive decline.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

ObjectiveTo construct a prediction model for high responsiveness to short-term aerobic training in patients with Parkinson's disease (PD) based on dual-task gait assessment, and to provide evidence for identifying individuals who are most likely to benefit from such interventions. MethodsA total of 42 patients with PD who visited the outpatient clinic of Tianjin Huanhu Hospital between August 29, 2023 and December 19, 2024 were enrolled. All participants completed a 4-week home-based aerobic cycling training program and underwent dual-task gait assessments pre- and post-training. Patients were classified into high-response group (n = 12) and low-response group (n = 30) according to whether the improvement in gait speed reached the minimal clinically important difference of 0.1 m/s. The clinical validity of this grouping was verified by comparing differences in cardiopulmonary exercise testing parameters and dual-task gait indicators between the two groups pre- and post-training. Based on baseline characteristics, Firth's penalized maximum likelihood logistic regression was applied to construct a predictive model for high responsiveness, and the discriminative performance of the model was assessed preliminarily. ResultsThe high-response group showed significantly greater improvement in gait speed, step length, cadence and the anaerobic threshold to maximal oxygen uptake ratio after training compared with the low-response group (P < 0.05), confirming the clinical validity of the grouping. The baseline anaerobic threshold to maximal oxygen uptake ratio (OR = 3.348), body mass index (OR = 2.229) and age (OR = 0.428) demonstrated certain discriminative ability in the present sample. The area under the receiver operating characteristic curve was 0.831, with an overall prediction accuracy of 81.0%, specificity of 83.3% and sensitivity of 75.0%. Robustness of the model was confirmed via internal validation using the Bootstrap method, which suggested that the results were informative, but further validation was still required. ConclusionThe anaerobic threshold/maximal oxygen uptake ratio, body mass index and age may predict the response to short-term aerobic training in patients with PD.

Objective To address the need for rapid review of automated organ-at-risk (OAR) contouring for head-and-neck cancer in online adaptive radiotherapy, this study used dosimetric indices as the reference standard to evaluate the suitability of geometric similarity metrics and to develop a rapid screening model that balances the risk of missed errors with review efficiency. Methods This retrospective study included 29 patients with head-and-neck radiotherapy, yielding 243 pairs of OAR contours (auto-generated vs. manual). Geometric similarity metrics, including the Dice similarity coefficient (Dice), the 95th percentile Hausdorff distance (HD95), and the maximum Hausdorff distance (HD100), were computed between the two contour sets. Using the dose distributions from clinical treatment plans, dosimetric differences between the two contour sets were calculated for key indices, including mean dose (D_mean) and maximum dose (D_max). Correlations between geometric metrics and dosimetric differences were analyzed. Dosimetric discrepancy events were defined as Y_3Gy using a threshold of 3 Gy. Within a univariable logistic regression triage framework, each geometric metric was used as an independent variable to estimate the probability of Y_3Gy. Discriminative performance was assessed using receiver operating characteristic (ROC) curves and precision-recall (PR) curves, with the area under the curve (AUC) including ROC-AUC and PR-AUC. Practical operating thresholds were determined via threshold sweeping. Results Geometric similarity metrics showed weak-to-moderate correlations with dosimetric differences; compared with maximum dose, correlations with mean dose differences were more consistent. Among the evaluated metrics, HD95 achieved the best classification performance for Y_3Gy. Threshold sweeping suggested that an HD95 threshold in the range of 4-9 mm can balance the risk of missed discrepancies with the efficiency of automated contour quality assurance (QA). Conclusion Several geometric similarity metrics demonstrated only weak-to-moderate associations with dosimetric differences. For head-and-neck OAR contour QA in this study, HD95 provided the best discriminative performance and can support rapid triage of automated contours, with a practical operating threshold range of 4-9 mm, potentially improving the efficiency of adaptive radiotherapy workflows.

ObjectiveTo establish and evaluate a hyperuricemia （HUA） mouse model with the damp-turbidity internal accumulation syndrome. MethodsThirty-six C57BL/6J mice were randomly divided into control group， chemically induced model group （Model）， and model combined with high-fat and fatigue group （Model+HF）. Twenty-four uricase gene knockout （UOX^-/-） mice were randomly divided into UOX^-/- group and UOX^-/-+HF group， with 12 mice in each group. The Model group and the Model+HF group established the HUA model by intragastric administration of potassium oxyazinate combined with adenine. The Model+HF group and the UOX^-/-+HF group adopted a high-fat diet combined with weight-bearing exhaustive swimming to establish the HUA model with the damp-turbidity internal accumulation syndrome. On day 1， 7， 14， 21， and 28 after modeling， the damp-turbidity internal accumulation syndrome score of each group was evaluated. On day 1 and day 28， a weight-bearing swimming exhaustion test was performed， and the exhaustive swimming time was recorded. On day 28， liver and kidney indexes were calculated， and hematoxylin-eosin （HE） staining was used to observe histopathological changes in liver and kidney tissues. Serum levels of uric acid （UA）， xanthine dehydrogenase （XDH）， xanthine oxidase （XOD） and urea nitrogen （BUN） were detected through biochemical assays. ELISA was used to detect serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Immunohistochemistry was used to detect the protein expression of organic anion transporter 1 （OAT1） and glucose transporter 9 （GLUT9） in renal tissues. Quantitative real-time PCR （qRT-PCR） was used to detect the mRNA expressions of adenosine triphosphate binding transporter G2 （ABCG2）， hypoxia-inducible factor-1α （HIF-1α）， urate anion transporter 1 （URAT1）， and GLUT9 in renal tissues. ResultsOn day 14 of modeling， the damp-turbidity internal accumulation syndrome scores of mice in the Model+HF group and the UOX^-/-+HF group were elevated compared with the control group（P＜0.05）； on day 28， the scores significantly increased， and the exhaustive swimming time was shortened （P＜0.01）， indicating successful establishment of the damp-turbidity internal accumulation syndrome model. Compared with the control group， all other groups exhibited increased kidney index， serum levels of UA， XDH， XOD， BUN， TNF-α， and IL-1β， elevated renal mRNA expression of HIF-1α， URAT1， OAT1， and GLUT9， and decreased renal ABCG2 mRNA expression （P＜0.01 or P＜0.05）. Significant pathological damage in the kidney was observed in the Model+HF group and the UOX^-/-+HF group compared to the Model group and the UOX^-/- group， with decreased serum UA and increased BUN and TNF-α levels （P＜0.05 or P＜0.01）， as well as increased expression of OAT1 and GLUT9 in the renal tissue. ConclusionBoth chemical induction and gene knockout， combined with a high-fat diet and weight-bearing exhaustive swimming， can successfully establish mouse models of HUA with damp-turbidity internal accumulation syndrome. Chemical induction is simple to operate and cost-effective， suitable for short-term drug screening， while UOX gene knockout induces spontaneous elevation of serum uric acid levels without drug administration， which may better mimick human metabolic characteristics.

Objective To explore the clinical characteristics of autoimmune encephalitis (AE) and the related factors of social frailty. Methods A total of 412 patients with AE admitted to the hospital between January 2020 and August 2025 were collected as research subjects. According to the occurrence status of social frailty, the above patients were classified into social frailty group (n=166) and control group (n=246). The clinical data of patients were analyzed, Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.. Results Among the 412 patients, 166 cases (40.29%) had social frailty and 246 cases (59.71%) did not have social frailty. The proportions of age≥40 years old, language disorder, epileptic seizure, acute onset and abnormal cranial magnetic resonance imaging (MRI) in the social frailty group were higher than those in the control group (Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.P<0.05). Age≥40 years old, language disorder, acute onset, Abnormal cranial magnetic resonance imaging is a related factor for the occurrence of social frailty in patients with AE (P<0.05). The area under the curve of the logistic regression model for prediction was 0.851, suggesting that the model had good predictive value. Conclusion Age, language disorder, epileptic seizure, acute onset and cranial MRI abnormality are important risk factors of social frailty in patients with AE. The prediction model based on these factors exhibits good clinical application value.

ObjectiveTo establish and evaluate a hyperuricemia （HUA） mouse model with the damp-turbidity internal accumulation syndrome. MethodsThirty-six C57BL/6J mice were randomly divided into control group， chemically induced model group （Model）， and model combined with high-fat and fatigue group （Model+HF）. Twenty-four uricase gene knockout （UOX^-/-） mice were randomly divided into UOX^-/- group and UOX^-/-+HF group， with 12 mice in each group. The Model group and the Model+HF group established the HUA model by intragastric administration of potassium oxyazinate combined with adenine. The Model+HF group and the UOX^-/-+HF group adopted a high-fat diet combined with weight-bearing exhaustive swimming to establish the HUA model with the damp-turbidity internal accumulation syndrome. On day 1， 7， 14， 21， and 28 after modeling， the damp-turbidity internal accumulation syndrome score of each group was evaluated. On day 1 and day 28， a weight-bearing swimming exhaustion test was performed， and the exhaustive swimming time was recorded. On day 28， liver and kidney indexes were calculated， and hematoxylin-eosin （HE） staining was used to observe histopathological changes in liver and kidney tissues. Serum levels of uric acid （UA）， xanthine dehydrogenase （XDH）， xanthine oxidase （XOD） and urea nitrogen （BUN） were detected through biochemical assays. ELISA was used to detect serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Immunohistochemistry was used to detect the protein expression of organic anion transporter 1 （OAT1） and glucose transporter 9 （GLUT9） in renal tissues. Quantitative real-time PCR （qRT-PCR） was used to detect the mRNA expressions of adenosine triphosphate binding transporter G2 （ABCG2）， hypoxia-inducible factor-1α （HIF-1α）， urate anion transporter 1 （URAT1）， and GLUT9 in renal tissues. ResultsOn day 14 of modeling， the damp-turbidity internal accumulation syndrome scores of mice in the Model+HF group and the UOX^-/-+HF group were elevated compared with the control group（P＜0.05）； on day 28， the scores significantly increased， and the exhaustive swimming time was shortened （P＜0.01）， indicating successful establishment of the damp-turbidity internal accumulation syndrome model. Compared with the control group， all other groups exhibited increased kidney index， serum levels of UA， XDH， XOD， BUN， TNF-α， and IL-1β， elevated renal mRNA expression of HIF-1α， URAT1， OAT1， and GLUT9， and decreased renal ABCG2 mRNA expression （P＜0.01 or P＜0.05）. Significant pathological damage in the kidney was observed in the Model+HF group and the UOX^-/-+HF group compared to the Model group and the UOX^-/- group， with decreased serum UA and increased BUN and TNF-α levels （P＜0.05 or P＜0.01）， as well as increased expression of OAT1 and GLUT9 in the renal tissue. ConclusionBoth chemical induction and gene knockout， combined with a high-fat diet and weight-bearing exhaustive swimming， can successfully establish mouse models of HUA with damp-turbidity internal accumulation syndrome. Chemical induction is simple to operate and cost-effective， suitable for short-term drug screening， while UOX gene knockout induces spontaneous elevation of serum uric acid levels without drug administration， which may better mimick human metabolic characteristics.

Objective To address the need for rapid review of automated organ-at-risk (OAR) contouring for head-and-neck cancer in online adaptive radiotherapy, this study used dosimetric indices as the reference standard to evaluate the suitability of geometric similarity metrics and to develop a rapid screening model that balances the risk of missed errors with review efficiency. Methods This retrospective study included 29 patients with head-and-neck radiotherapy, yielding 243 pairs of OAR contours (auto-generated vs. manual). Geometric similarity metrics, including the Dice similarity coefficient (Dice), the 95th percentile Hausdorff distance (HD95), and the maximum Hausdorff distance (HD100), were computed between the two contour sets. Using the dose distributions from clinical treatment plans, dosimetric differences between the two contour sets were calculated for key indices, including mean dose (D_mean) and maximum dose (D_max). Correlations between geometric metrics and dosimetric differences were analyzed. Dosimetric discrepancy events were defined as Y_3Gy using a threshold of 3 Gy. Within a univariable logistic regression triage framework, each geometric metric was used as an independent variable to estimate the probability of Y_3Gy. Discriminative performance was assessed using receiver operating characteristic (ROC) curves and precision-recall (PR) curves, with the area under the curve (AUC) including ROC-AUC and PR-AUC. Practical operating thresholds were determined via threshold sweeping. Results Geometric similarity metrics showed weak-to-moderate correlations with dosimetric differences; compared with maximum dose, correlations with mean dose differences were more consistent. Among the evaluated metrics, HD95 achieved the best classification performance for Y_3Gy. Threshold sweeping suggested that an HD95 threshold in the range of 4-9 mm can balance the risk of missed discrepancies with the efficiency of automated contour quality assurance (QA). Conclusion Several geometric similarity metrics demonstrated only weak-to-moderate associations with dosimetric differences. For head-and-neck OAR contour QA in this study, HD95 provided the best discriminative performance and can support rapid triage of automated contours, with a practical operating threshold range of 4-9 mm, potentially improving the efficiency of adaptive radiotherapy workflows.