ObjectiveThis study aims to explore the neurotoxicity mechanism of Dictamni Cortex by integrating network toxicology and metabolomics techniques. MethodsThe neurotoxicity targets induced by Dictamni Cortex were screened by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Traditional Chinese Medicine Information Database （TCM-ID）， and Comparative Toxicogenomics Database （CTD）. The target predictions of the components were performed by the Swiss Target Prediction tool. Neurotoxicity-related targets were collected from the Pharmacophore Mapping and Potential Target Identification Platform （PharmMapper）， GeneCards Human Gene Database （GeneCards）， DisGeNET Disease Gene Network （DisGeNET）， and Online Mendelian Inheritance in Man （OMIM）， and the intersection targets were identified. Protein-protein interaction （PPI） analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis， and Gene Ontology （GO） enrichment analysis were conducted. A "drug-compound-toxicity target-pathway" network was constructed via Cytoscape software to display the core regulatory network. Based on the prediction results， the neurotoxicity mechanism of Dictamni Cortex in mice was verified by using hematoxylin-eosin （HE） staining， Nissl staining， enzyme-linked immunosorbent assay （ELISA）， quantitative real-time fluorescence polymerase chain reaction （Real-time PCR）， and Western blot. The effects of Dictamni Cortex on the metabolic profile of mouse brain tissue were further explored by non-targeted metabolomics. ResultsNetwork toxicology screening identified 13 compounds and 175 targets in Dictamni Cortex that were related to neurotoxicity. PPI network analysis revealed that serine/threonine-protein kinase （Akt1） and tumor protein 53 （TP53） were the core targets. Additionally， GO/KEGG enrichment analysis indicated that Dictamni Cortex may regulate the phosphatidylinositol 3-kinase （PI3K）/Akt pathway and affect oxidative stress and cell apoptosis， thereby inducing neural damage. The "Dictamni Cortex-compound-toxicity target-pathway-neural damage" network showed that dictamnine， phellodendrine， and fraxinellone may be the toxic compounds. Animal experiments showed that compared with those in the blank group， the hippocampal neurons in the brain tissue of mice treated with Dictamni Cortex were damaged. The level of superoxide dismutase （SOD） and acetylcholine （ACh） in the brain tissue was significantly reduced， while the content of malondialdehyde （MDA） was significantly increased. The level of Akt1 and p-Akt1 mRNAs and proteins in the brain tissue was significantly decreased， while the level of TP53 was significantly increased. Non-targeted metabolomics results showed that Dictamni Cortex could disrupt the level of 40 metabolites in mouse brain tissue， thereby regulating the homeostasis of 13 metabolism pathways， including phenylalanine， glycerophospholipid， and retinol. Combined analysis revealed that Akt1， p-Akt1， and TP53 were significantly correlated with phenylalanine， glycerophospholipid， and retinol metabolites. This suggested that Dictamni Cortex induced neurotoxicity in mice by regulating Akt1， p-Akt1， and TP53 and further modulating the phenylalanine， glycerophospholipid， and retinol metabolism pathways. ConclusionDictamni Cortex can induce neurotoxicity in mice， and its potential mechanism may be closely related to the activation of oxidative stress， inhibition of the PI3K/Akt signaling pathway， and regulation of phenylalanine， glycerophospholipid， and retinol metabolism pathways.

ObjectiveThis study aims to investigate the effect of Dictamni Cortex on intestinal barrier damage in rats and its mechanism by untargeted metabolomics and targeted metabolomics for short-chain fatty acids （SCFAs）. MethodsRats were randomly divided into a control group， a high-dose group of Dictamni Cortex （8.1 g·kg^-1）， a medium-dose group （2.7 g·kg^-1）， and a low-dose group （0.9 g·kg^-1）. Except for the control group， the other groups were administered different doses of Dictamni Cortex by gavage for eight consecutive weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in the ileal tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect the level of cytokines， including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）， in the ileal tissue of rats. Quantitative real-time fluorescence polymerase chain reaction （Real-time PCR） technology was used to detect the expression level of tight junction proteins， including zonula occludens-1 （ZO-1）， Occludin， and Claudin-1 mRNAs， in the ileal tissue of rats to preliminarily explore the effects of Dictamni Cortex on intestinal damage. The dose with the most significant toxic phenotype was selected to further reveal the effects of Dictamni Cortex on the metabolic profile of ileal tissue in rats by non-targeted metabolomics combined with targeted metabolomics for SCFAs. ResultsCompared with the control group， all doses of Dictamni Cortex induced varying degrees of pathological damage in the ileum， increased TNF-α （P<0.01）， IL-6 （P<0.01）， and IL-1β （P<0.01） levels in the ileal tissue， and decreased the expression level of ZO-1 （P<0.05， P<0.01）， Occludin （P<0.01）， and Claudin-1 （P<0.05） in the ileal tissue， with the high-dose group showing the most significant toxic phenotypes. The damage mechanisms of the high-dose group of Dictamni Cortex on the ileal tissue were further explored by integrating non-targeted metabolomics and targeted metabolomics for SCFAs. The non-targeted metabolomics results showed that 21 differential metabolites were identified in the control group and the high-dose group. Compared with that in the control group， after Dictamni Cortex intervention， the level of 14 metabolites was significantly increased （P<0.05， P<0.01）， and the level of seven metabolites was significantly decreased （P<0.05， P<0.01） in the ileal contents. These metabolites collectively acted on 10 related metabolic pathways， including glycerophospholipids and primary bile acid biosynthesis. The quantitative data of targeted metabolomics for SCFAs showed that Dictamni Cortex intervention disrupted the level of propionic acid， butyric acid， acetic acid， caproic acid， isobutyric acid， isovaleric acid， valeric acid， and isocaproic acid in the ileal contents of rats. Compared with those in the control group， the level of isobutyric acid， isovaleric acid， and valeric acid were significantly increased， while the level of propionic acid， butyric acid， and acetic acid were significantly decreased in the ileal contents of rats after Dictamni Cortex intervention （P<0.05， P<0.01）. ConclusionDictamni Cortex can induce intestinal damage by regulating glycerophospholipid metabolism， primary bile acid biosynthesis， and metabolic pathways for SCFAs.

Objective To investigate the expansion margins of the planning target volume (PTV) and the planning organ at risk volume (PRV) in nasopharyngeal carcinoma patients immobilized with Styrofoam and head-neck-shoulder mask. Methods A convenient sample of 33 nasopharyngeal carcinoma patients who received radiotherapy at Huanggang Central Hospital from January to October 2024 were selected as the research subjects. All patients underwent cone beam CT scans during the first three treatments and weekly thereafter. After registration and calibration, the setup errors in the X (LAT), Y (LNG), and Z (VRT) directions were recorded. Statistical analysis was performed on the setup errors in each direction to determine differences, and the expansion margins for PTV and PRV were calculated using empirical formulas. Results A total of 229 cone beam CT images were collected. Statistical analysis found that the setup errors (systematic error ± random error) of the patients in the X, Y, and Z directions were 1.05 ± 0.72, 1.30 ± 0.80, and 1.29 ± 0.82 mm, respectively. The expansion margins for PTV in the left-right, superior-inferior, and anterior-posterior directions were 1.40, 1.76, and 1.8 mm, respectively. The expansion margins for PRV in these directions were 0.83, 1.02, and 1.05 mm, respectively. Conclusion For patients immobilized using Styrofoam and head-neck-shoulder mask, it is recommended that the expansion margins for PTV and PRV be set at 2 mm and 1 mm, respectively, in the left-right, superior-inferior, and anterior-posterior directions, and the PRV margin for the spinal cord be set at 3 mm in all directions.

Tooth pulpitis is a prevalent oral disorder. Understanding the underlying mechanisms of pulpitis and developing effective treatment strategies hold great significance. Ferroptosis has recently emerged as a new form of cell death, but the role of ferroptosis in pulpitis remains largely unknown. In our study, single-cell RNA sequencing (scRNA-seq) was used to identify cellular heterogeneity between 3 pulpitis tissue and 3 healthy pulp tissue, and explored ferroptosis occurrence in pulpitis tissue and inflamed dental pulp cells (DPCs). In scRNA-seq, 40 231 cells (Pulpitis: 17 814; Healthy pulp: 22 417) were captured, and visualized into 12 distinct cell clusters. Differentially expressed ferroptosis-related genes (DE-FRGs) were almost presented in each cluster in pulpitis vs healthy pulp. ROS and Fe²⁺ levels significantly rose, and immunohistochemistry showed low expression of GPX4 and high expression of PTGS2 in pulpitis. In LPS-stimulated DPCs, thymosin α1 increased the expression of GPX4 and FTL, and decreased expression of TNF-α, IL-1β, IL-6, and Fe²⁺ levels. In rat pulpitis models, both prothymosin α (PTMA, precursor of thymosin α1) gelatin sponge placed at the hole of pulp (LPS-P(gs)) and PTMA injection in pulp (LPS-P(i)) significantly reduced infiltration of inflammatory cells and expression of PTGS2, and increased the expression of GPX4. In RNA sequencing, the expression of DE-FRGs were reversed when thymosin α1 were added in LPS-stimulated DPCs. Collectively, single-cell atlas reveals cellular heterogeneity between pulpitis and healthy pulp, and ferroptosis occurrence in pulpitis. Thymosin α1 may reduce ferroptosis in DPCs to alleviate pulpitis and thus potentially has the ability to treat pulpitis.
Ferroptosis/drug effects* ; Dental Pulp/drug effects* ; Animals ; Pulpitis/pathology* ; Rats ; Thymalfasin/pharmacology* ; Humans ; Male ; Thymosin/pharmacology* ; Disease Models, Animal ; Rats, Sprague-Dawley

ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

Objective:To analyze the correlation between paraspinal muscle parameters and the angle of degenerative thoracolumbar segmental kyphosis.Methods:From November 2021 to April 2023, a total of 90 female patients with lumbar degenerative disease who underwent surgical treatment in the Department of Spine Surgery, Beijing Jishuitan Hospital were retrospectively analyzed. The average age was 67.62±4.98 years (range, 60-80 years), and the average height was 1.58±0.05 m (range, 1.48-1.70 m). Weight 63.79±9.13 kg (range, 47-90 kg), body mass index 25.48±3.35 kg/m 2 (range, 18.37-36.05 kg/m 2). The angle of kyphosis of the thoracolumbar segments was 6.65°±10.38° (range, -17.34° to 9.34°). Disease diagnosis: 32 cases of lumbar disc herniation and 58 cases of lumbar spinal stenosis. Frontal and lateral radiographs of the thoracolumbar segments in the standing position were taken to measure the angle of kyphosis of the thoracolumbar segments; quantitative CT of the thoracolumbar segments and Osirix software were used to measure the parameters of the paravertebral muscles at the levels of T 12, L 3, and L 5, including paravertebral muscle cross-sectional area, skeletal muscle area, and tissue density, the proportion of fat infiltration, and the height-corrected skeletal muscle area index. The correlation between paraspinal muscle parameters and the angle of thoracolumbar segmental kyphosis was analyzed, and the factors affecting the angle of thoracolumbar segmental kyphosis were analyzed using multiple linear regression. Results:Correlation analysis showed a negative correlation between the angle of thoracolumbar segmental kyphosis and the tissue density of T 12 skeletal muscle ( r=-0.303, P=0.004) and L 5 skeletal muscle ( r=-0.219, P=0.038). Age was negatively correlated with T 12 skeletal muscle tissue density ( r=-0.263, P=0.012), T 12 height-corrected skeletal muscle area index ( r=-0.221, P=0.036), T 12 paravertebral muscle cross-sectional area ( r=-0.280, P=0.007), L 3 skeletal muscle tissue density ( r=-0.266, P=0.011) and L 5 skeletal muscle tissue density ( r=-0.290, P=0.006). There was no correlation between bone mineral density and paravertebral muscle parameters ( P>0.05). Multiple linear regression showed that T 12 skeletal muscle tissue density ( β=-1.125, P<0.001), T 12 fat-infiltrated proportion ( β=-0.849, P=0.001), L 3 skeletal muscle tissue density ( β=0.996, P<0.001), and L 3 fat-infiltrated proportion ( β=0.496, P=0.020) were independent factors influencing the angle of thoracolumbar segmental kyphosis . Conclusion:T 12 and L 3 paraspinal muscle density and fat-infiltrated proportion are independent factors affecting the angle of thoracolumbar kyphosis. The smaller the density and fat-infiltrated proportion of T 12 paraspinal muscle, and the larger the density and fat-infiltrated proportion of L 3 paraspinal muscle, the larger the angle of thoracolumbar kyphosis.

Objective:To evaluate the correlation between the degree of posterior longitudinal ligament (PLL) injury and various parameters of vertebral body injury in patients with thoracolumbar burst fractures.Methods:A total of 48 patients with thoracolumbar burst fractures were admitted to the Spine Surgery Center of the Second Affiliated Hospital of Inner Mongolia Medical University between December 2022 and January 2024. The cohort consisted of 31 males and 17 females, with a mean age of 44.1±11.8 years (range, 18-65 years). Based on the PLL injury grading method proposed by Sun Zhaoyun, patients were classified into three groups: mild, moderate, and severe. However, due to an insufficient number of patients in the severe group ( n=3), the moderate and severe groups were combined for statistical analysis, resulting in two groups: mild, and moderate-to-severe. Patient demographic and clinical data were collected. Local kyphosis (LK), inversion angle (IA), horizontal rotation angle (HRA), increased interspinous distance (IISD), anterior vertebral body compression ratio (AVBCR), posterior vertebral body compression ratio (PVBCR), middle vertebral body compression ratio (MVBCR), the ratio of height of bone fragment (RHBF), the ratio of width of bone fragment (RWBF), and mid-sagittal canal diameter compression ratio (MSDCR) were measured. Statistical analyses were performed using SPSS 25.0. Categorical variables were expressed as frequency (percentage) and analyzed using chi-square and Fisher exact tests. Continuous variables were tested for normality, with non-normally distributed data analyzed using the rank-sum test and expressed as median (interquartile range). Multivariate logistic regression analysis was performed to identify independent risk factors, and receiver operating characteristic (ROC) curves were plotted to calculate the area under the curve (AUC) to evaluate predictive performance. Results:Among the 48 patients, only 3 were found to have severe PLL injury, necessitating the combination of the moderate and severe groups for statistical purposes. Patients in the moderate-to-severe group demonstrated significantly higher AVBCR, PVBCR, RHBF, MVBCR, MSDCR, and IA compared to the mild group ( P<0.05). Multivariate logistic regression identified AVBCR, PVBCR, MSDCR, and IA as independent risk factors for moderate-to-severe PLL injury ( OR>1, P<0.05). ROC curve analysis revealed that AVBCR, PVBCR, MSDCR, IA, and their combined index could effectively predict moderate-to-severe PLL injury ( P<0.05). Notably, the combined index showed superior predictive performance (AUC=0.970) compared to individual parameters. Threshold values were determined as follows: AVBCR>45.30%, PVBCR>12.17%, MSDCR>27.13%, IA>5.90°, and the combined index >0.61, indicating PLL damage. Conclusion:AVBCR, PVBCR, MSDCR, IA, and their combined index are significantly associated with moderate-to-severe PLL injury in thoracolumbar burst fractures. The combined index demonstrates superior predictive ability compared to single parameters, providing a reliable tool for assessing PLL integrity.

Objective To explore the mechanism of acute liver injury induced by Cortex dictamni through network pharmacology and in vivo experiment in animal.Methods The chemical constituents and targets of Cortex dictamni were retrieved from TCMSP,TCMIP and SwissTargetPrediction databases,and the related targets of liver injury diseases were identified through GeneCards and CTD databases.The protein interaction network of the intersection targets was analyzed by STRING database and the core targets were selected.The GO function and KEGG pathway enrichment analysis were completed by DAVID database,and the multi-level association network diagram of"drug-component-target"was constructed by Cytoscape software.In the animal study,Cortex dictamni was administered to mice at a dosage of 92.7 g/(kg·d)via intragastric administration,and the biological samples were collected after 7 days.The pathological changes of liver were observed by hematoxylin-eosin(HE),Masson and Oil Red O staining.The expression levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP),and lactate dehydrogenase(LDH)in serum,as well as malondialdehyde(MDA),superoxide dismutase(SOD),tumor necrosis factor-α(TNF-α),and interleukin(IL)-1β in liver tissues,were quantified using enzyme-linked immunosorbent assay(ELISA).The expressions of protein kinase B1(AKT1),IL-6,TNF-α,tumor protein p53(TP53),cystatin 3(CASP3),and IL-1β mRNA in liver tissues were determined using real-time quantitative reverse transcription PCR(qRT-PCR).Molecular docking was employed to verify the binding affinity of potentially toxic components to their respective targets.Results A total of 14 chemical constituents,244 predicted targets and 202 intersection targets with liver injury were obtained.The GO biological process analysis mainly involved positive regulation of gene expression,negative regulation of apoptosis process.KEGG pathway enrichment analysis mainly included cancer pathway and PI3K-Akt,TNF,IL-17 signaling pathways.The pathological sections revealed severe hemorrhage,a considerable amount of hepatocyte necrosis,nuclear fragmentation or dissolution in the liver tissues of mouse with HE staining after the administration of Cortex dictamni.Masson staining showed evident fibrosis in the liver tissues,while Oil Red O staining indicated a substantial production of lipid droplets.Compared with the control group,the ELISA results demonstrated a significant increase in serum AST,ALT,ALP,LDH levels,as well as hepatic MDA,TNF-α,and IL-1β levels(P<0.05),and a decrease in hepatic SOD levels(P<0.05)in the treated group.The qRT-PCR results indicated a significant elevation in the expression levels of relevant mRNAs in the liver tissues of the treated mice(P<0.05).Molecular docking showed that the potentially toxic components of obacunone,dictamnine and fraxinellon had good binding affinity to AKT1,IL-6,TNF-α,TP53,CASP3 and IL-1β.Conclusion Obacunone,dictamnine,fraxinellon,and limonin might be the potential toxic components of acute liver injury induced by Cortex dictamni in mice.Cortex dictamni could act on the liver by changing the expressions of AKT1,IL-6,TNF-α,TP53,CASP3,IL-1β and other proteins,affecting energy metabolism,cell differentiation,inflammation,oxidative stress and immunity,leading to liver injury.

Dictamni cortex is the root bark of Rutaceae plants.It is the main medicinal part and the key drug of 'Zhuhuang Fengbi'.It has the effects of clearing heat and detoxifying,dispelling wind and drying dampness,and relieving itching.Dictamni cortex mainly contains 228 chemical components such as alkaloids,sesquiterpenes,limonoids,fatty acids,volatile oils,flavonoids,steroids,etw.Its pharmacological activities in vivo and in vitro include antibacterial activity,anti-inflammatory activity,hepatoprotective activity,cardiovascular protection activity,insecticidal activity,anticancer activity,anti-allergic activity,and improvement of gastrointestinal activity.It has been reported that Dictamni cortex also has potential hepatotoxicity,among which dictamnine,fraxinellone and limonin compounds are potential hepatotoxic components.In this paper,the chemical constituents,pharmacological effects and toxicity of Dictamni cortex are reviewed by consulting domestic and foreign literature,to provide theoretical support for the clinical rational application and related product development of Dictamni cortex.

Objective To establish an ultra-high performance liquid chromatography(UPLC)fingerprint and multi-index content determination method of Siraitiae fructus standard decoction.Methods 15 batches of Siraitiae fructus from different producing areas were collected,Siraitiae fructus standard decoction was prepared according to Technical Requirements for Quality Control and Standardization of Traditional Chinese Medicine Formula Granules,and the extract rate was calculated.UPLC was used to establish the fingerprint of 15 batches of Siraitiae fructus standard decoction and determine the contents of 11-O-mogroside V,kaempferitrin and mogroside V,which were the main effective components.The chemometrics analysis was used to evaluate the quality of Siraitiae fructus standard decoction and find possible quality markers.Results The extraction rate of 15 batches Siraitiae fructus standard decoction ranged from 24.79％to 34.95％.There were 16 common peaks in the fingerprint,and 4 components were identified.The Siraitiae fructus standard decoction was divided into 2 categories by chemometrics analysis,among which samples from Liuzhou,Guangxi were in one category and samples from Guilin,Guangxi were in another category.Seven differential markers were screened out under the condition of variable importance projection value,and the order was as follows:peak 8＞peak 7＞peak 5＞peak 12(kaempferitrin)＞peak 1＞peak 13＞peak 4.The contents of kaempferitrin,11-O-mogroside V and mogroside V in samples from Guilin,Guangxi were slightly higher than those in samples from Liuzhou,Guangxi.Conclusion The UPLC fingerprint and content determination method established in this study are feasible,which can provide a basis for the quality evaluation of Siraitiae fructus.The results of principal component analysis show that kaempferol is likely to become a quality marker of Siraitiae fructus.