ObjectiveTaking Aurantii Fructus Immaturus juice（AFI）-processed Atractylodis Macrocephalae Rhizoma（AMR） as an example， this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products， investigate the key differential components， evaluate their anti-inflammatory activities， and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry（GC-MS） and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology（NIST）17 database， comparison with retention index（RI） and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine （TCM） spectral library， in conjunction with PubChem and MassBank， characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） value >1. Components with high log₂fold change（FC） among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide（NO） production in a lipopolysaccharide（LPS）-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay（ELISA） was used to detect the effects of the differential components on tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6， and monocyte chemotactic protein（MCP）-1 levels， and immunofluorescence（IF） was employed to assess their effects on nuclear transcription factor（NF）-κB p65 translocation， thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR， among which， sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components， 36 compounds were identified， and the main differential components were flavonoids， sesquiterpenoids， and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products， representing compounds directly introduced during processing. Five compounds， including atractylenolide Ⅲ， tangeritin， nobiletin， hesperidin and narirutin， were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L^-1 tangerine and narirutin could significantly inhibit LPS-induced NO production（P<0.01） in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7（P<0.05）， while narirutin significantly inhibited the levels of TNF-α， IL-1β， MCP-1 and IL-6（P<0.01）. IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR， and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.

Objective:To analyze the reoperation rate and causes during the early adoption phase of unilateral biportal endoscopy (UBE).Methods:The clinical data of 180 patients who underwent UBE performed by a single surgeon at Beijing Friendship Hospital, Capital Medical University from October 2021 to June 2023 were retrospectively analyzed. Clinical and imaging data of patients who underwent reoperation were collected to analyze the causes of reoperation, and the clinical efficacy of the reoperations was also followed up. Measurement data were expressed as mean ± standard deviation ( ± s), and t-test was used before and after treatment. Results:A total of 180 patients who underwent UBE were included in this study, of which 6 patients underwent reoperation, and the reoperation rate was 3.33%. Among them, 3 cases occurred in the first 90 surgeries and the other 3 occurred in the subsequent 90 surgeries. The causes of reoperation were as follows: recurrent lumbar disc herniation at the same segment postoperatively in 2 cases, insufficient decompression in 2 cases, disc herniation following isolated decompression in 1 case, and immediate postoperative perianal numbness in 1 case. The time between the initial surgery and reoperation ranged from 0 to 187 days, with an average of 63.3 days. The average follow-up time after reoperation was 18.3 months. The visual analogue scale (VAS) and Oswestry disability index (ODI) scores of the patients at the last follow-up were significantly improved compared with those before operation (VAS score of low back pain: 5.2 ± 1.7 before operation, 1.2 ± 0.8 at the last follow-up, P<0.001; VAS score of leg pain: 7.2 ± 1.5 before operation, 1.2 ± 1.2 at the last follow-up, P<0.001; ODI score: 67.3 ± 5.7 before operation, 20.2 ± 8.2 at the last follow-up, P<0.001). The postoperative modified MacNab scores were generally satisfactory (4 cases were rated as excellent, accounting for 66.7%; 2 cases were rated as good, accounting for 33.3%). Except for one patient who experienced dural injury during open revision surgery, there were no serious complications such as nerve damage. Conclusions:In the early stages of UBE surgery, recurrent lumbar disc herniation and inadequate decompression are the primary reasons for reoperation, typically occurring within the first three months postoperatively. Reoperation does not significantly increase the risk of nerve injury. Enhanced early postoperative follow-up is recommended. For symptomatic patients, a second surgery with thorough decompression can yield satisfactory treatment outcomes.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:To evaluate the safety and efficacy of the TiRobot assisted screw placement in patients with lumbar degenerative diseases.Methods:The clinical data of 165 patients with lumbar degenerative diseases from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyze, and all patients were treated with posterior lumbar decompression and instrumentation. Among them, 46 patients were used the TiRobot assisted screw placement during surgery (robotic-assisted group), and 119 patients underwent freehand screw placement by C-arm X-ray machine fluoroscopy (freehand group). The operation time, intraoperative blood loss, complication and skelalgia visual analogue scale (VAS), Oswestry disability index (ODI) before and after operation were recorded. The accuracy of screw placement and rate of proximal facet joint violation were compared between two groups.Results:There were no statistical difference in operation time, intraoperative blood loss and incidence of complication between two groups ( P>0.05). In the two groups, the 3 d VAS and ODI after operation were significantly lower than those before operation, robot-assisted group: (3.33 ± 1.40) scores vs. (6.54 ± 2.00) scores and (16.96 ± 8.03) scores vs. (43.09 ± 5.48) scores; freehand group: (3.56 ± 1.29) scores vs. (6.55 ± 1.65) scores and (18.89 ± 6.74) scores vs. (44.91 ± 4.96) scores, and there were statistical differences ( P<0.01); there were no statistical difference in VAS and ODI before operation and 3 d after operation between two groups ( P>0.05). A total of 234 screws were implanted in robot-assisted group, and 590 screws were implanted in freehand group. The accuracy of screw placement in robot-assisted group was significantly higher than that in freehand group: 80.77% (189/234) vs. 74.58% (440/590), the rate of proximal facet joint violation was significantly lower than that in freehand group: 2.56% (6/234) vs. 7.29% (43/590), and there were statistical differences ( χ2 = 3.56 and 6.68, P<0.05). Conclusions:The TiRobot assisted screw placement for lumbar degenerative diseases is safe and effective. Compared to freehand technique, the TiRobot assisted method demonstrates higher screw placement accuracy and a lower rate of proximal facet joint violation.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

ObjectiveTo investigate the influenza vaccination coverage among kindergarten and primary school children in Zhejiang Province in 2023 and analyze the influencing factors, and to provide the basis for improving the effect of influenza vaccination in children. MethodsA multi-stage random cluster sampling method was used to select 3 681 parents of children from 10 primary schools and kindergartens based on economic level and geographical distribution in Zhejiang Province, who participated in an online questionnaire survey, including basic information about the children and their parents, parents’ knowledge about influenza, and their willingness to vaccination. ResultsAmong the 3 681 parents surveyed, 33.82% (1 245/3 681) reported that their children received influenza vaccination in 2023. Multivariate logistic regression analysis showed that factors contributing to children’s influenza vaccination included both parents [adjusted OR (95%CI): 1.56 (1.32‒1.84)] and children [6.04 (5.04‒7.27)] having a history of influenza vaccination, parents’ conviction the influenza vaccine could protect children from severe diseases [1.43 (1.19‒1.74)], and the willingness of most parents would let their children get vaccinated [1.40 (1.13‒1.74)]. In contrast, vaccine hesitancy among parents [0.55 (0.43‒0.69)] and the belief that influenza is just a common cold [0.80 (0.65‒1.00)] were hindering factors. ConclusionThe influenza vaccination coverage among children is insufficient. Both the vaccination history of parents and children, as well as parents’ correct understanding of influenza and the effectiveness of influenza vaccine, significantly influence the influenza vaccination status in children. Efforts to address vaccine hesitancy and misconceptions about influenza are essential to improve vaccination rates.

The rationale for the design of control groups in tuina clinical trial is the foundation for rigorously validating the effectiveness and safety of this therapy. This article reviewed the current state of the design of tuina placebo in control groups of clinical trials， pointed out the necessity of setting up tuina placebo in clinical trials of tuina， analyzed the challenges in implementing blinding of tuina manipulation， and concluded that tuina placebo is still challenged by the placebo effect， the diversification of tuina manipulation but the lack of standardization， and the difficulty of implementing blinding due to the high level of public awareness of tuina. This article also summarized the design of placebo manipulation in three types of clinical trials， including spinal manipulation， acupressure， and paediatric tuina， and proposed four strategies for designing placebo tuina manipulation-controlling placebo effects， developing operational standards for placebo tuina manipulation， ensuring the rigor of blinding implementation， and applying new technologies to enhance the standardization and blinding capacity of placebo tuina methods. So the article is aimed at improving the methodological quality of tuina clinical trial designs， and promoting the standardization and scientificity of tuina clinical trial design.

OBJECTIVE: To explore the effects and mechanisms of the C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 (CXCL12/CXCR4) signaling axis on apoptosis and autophagy in SH-SY5Y neuronal cells subjected to oxygen-glucose deprivation/reperfusion (OGD/R) model in vitro. METHODS: SH-SY5Y cells were divided into the following groups: OGD/R group and non-OGD/R group, with the OGD/R group subjected to OGD/R modeling and the non-OGD/R group receiving no treatment. Cells were also divided into CXCL12⁺ and CXCL12^- groups; the CXCL12⁺ group received 0.1 mg/L exogenous recombinant CXCL12 (rhCXCL12) at reoxygenation, while the CXCL12^- group did not. Another set of cells was divided into CXCL12+AMD3100 and CXCL12 groups; the CXCL12+AMD3100 group was pretreated with 2.5 mg/L AMD3100, a CXCR4 inhibitor, for 2 hours before OGD/R and received both 2.5 mg/L AMD3100 and 0.1 mg/L rhCXCL12 at reoxygenation, whereas the CXCL12 group received rhCXCL12 only. Additionally, cells were divided into small interfering RNA CXCR4 (siCXCR4) and small interfering RNA negative control (siNC) groups; the siCXCR4 group underwent CXCR4 knockdown before OGD/R modeling and received 0.1 mg/L rhCXCL12 at reoxygenation, while the siNC group, transfected with a negative control, received the same treatment. Protein expression of autophagy-related 16 (ATG16), microtubule-associated protein 1 light chain 3 (LC3), aquaporin-3 (AQP3), and CXCR4 was detected by Western blotting. Apoptosis rate and CXCR4 expression were measured by flow cytometry. RESULTS: Compared with the non-OGD/R group, the OGD/R group showed a significantly increased apoptosis rate and markedly decreased protein expression levels of ATG16, LC3, AQP3, and CXCR4 (all P < 0.05). CXCR4 fluorescent expression was also significantly reduced, suggesting that OGD/R simultaneously affects neuronal apoptosis and autophagy while inhibiting CXCR4 and AQP3 expression in SH-SY5Y cells. Compared with the CXCL12^- group, the CXCL12⁺ group exhibited no significant change in apoptosis rate but demonstrated significantly increased protein expression of ATG16, LC3, and AQP3 (ATG16/GAPDH: 1.21±0.10 vs. 1.00±0.00; LC3/β-actin: 1.22±0.10 vs. 1.00±0.00; AQP3/β-actin: 1.26±0.04 vs. 1.00±0.00; all P < 0.05). CXCR4 expression was also significantly enhanced (fluorescence intensity: 1.19±0.05 vs. 1.00±0.00, P < 0.05), indicating that CXCL12 may promote autophagy in OGD/R-injured SH-SY5Y cells via the CXCR4/AQP3 pathway. Compared with the CXCL12 group, the CXCL12+AMD3100 group showed no significant difference in apoptosis rate but significantly lower protein levels of ATG16 and LC3 (ATG16/GAPDH: 0.75±0.08 vs. 1.00±0.00; LC3/GAPDH: 0.86±0.07 vs. 1.00±0.00; both P < 0.05), suggesting that CXCL12 induces autophagy in OGD/R SH-SY5Y cells through CXCR4. Compared with the siNC group, the siCXCR4 group showed no significant change in apoptosis rate but significantly reduced protein expression of ATG16, LC3, AQP3, and CXCR4 (ATG16/GAPDH: 0.76±0.06 vs. 1.00±0.00; LC3/GAPDH: 0.79±0.11 vs. 1.00±0.00; AQP3/GAPDH: 0.81±0.05 vs. 1.00±0.00; CXCR4/GAPDH: 0.86±0.04 vs. 1.00±0.00; all P < 0.05), indicating that CXCR4 knockdown suppresses OGD/R-induced autophagy in SH-SY5Y cells likely via AQP3. CONCLUSIONS The CXCL12/CXCR4 signaling axis can regulate OGD/R-induced autophagy in SH-SY5Y cells through AQP3 without affecting apoptosis, indicating a role for this pathway in neuronal autophagy during cerebral ischemia/reperfusion injury.
Humans ; Receptors, CXCR4/metabolism* ; Chemokine CXCL12/metabolism* ; Autophagy ; Glucose/metabolism* ; Apoptosis ; Neurons/cytology* ; Oxygen/metabolism* ; Signal Transduction ; Cell Line, Tumor ; Cell Hypoxia ; Benzylamines ; Cyclams

Objective To investigate the predictive value of serum microRNA(miRNA)-143-3p and miR-188-5p levels for poor prognosis in patients with acute cerebral infarction(ACI)after thrombolysis.Methods From February 2022 to February 2024,121 patients with acute cerebral infarction(ACI)who visited the hospital(all treated with thrombolysis)were selected as the study group.They were assigned into mild and moderate to severe groups based on the severity of their condition.They were into good prognosis group and poor prognosis group based on their postoperative condition.In addition,another 121 healthy individuals who underwent physical check ups during the same period were as the control group.The qRT-PCR method was applied to detect the expression levels of miR-143-3p and miR-188-5p.Pearson correlation was applied to analyze the correlation between serum miR-143-3p,miR-188-5p and NIHSS score.The influencing factors of poor prognosis in ACI patients after throm-bolysis were analyzed using multiple logistic regression.ROC curve was plotted to analyze the predictive value of serum miR-143-3p and miR-188-5p for poor prognosis after thrombolysis in ACI patients.Results The serum miR-143-3p level in the study group was higher than that in the control group(P<0.05),and the miR-188-5p level was lower than that in the control group(P<0.05);The serum miR-143-3p and NIHSS score in the mild,moderate and severe groups were increased in turn,and the level of miR-188-5p was decreased in turn(P<0.05);Serum miR-143-3p was negatively correlated with miR-188-5p(P<0.05);Diabetes,time from onset to throm-bolysis,NIHSS score at admission,miR-143-3p and miR-143-3p were the influencing factors of poor prognosis in ACI patients after thrombolysis;The AUC of the joint of serum miR-143-3p and miR-188-5p in predicting poor prognosis after thrombolysis in ACI patients was 0.871,and the joint of the two was better than their individual predictions(Z=2.683,2.703,P<0.05).Conclusions The level of serum miR-143-3p in ACI patients is significantly increased,and the level of serum miR-188-5p is significantly decreased,which is a poor prognostic factor for ACI patients after thrombolysis.The combination of the two has higher diagnostic value.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.