ObjectiveTo observe the clinical efficacy of acupuncture combined with bloodletting and cupping in the treatment of chronic spontaneous urticaria（CSU） and to explore its potential mechanisms of action. MethodsSeventy CSU patients were randomly divided into loratadine group and acupuncture + bloodletting group， with 35 patients in each group. The loratadine group received oral loratadine tablets， 10 mg once daily in the evening. The acupuncture + bloodletting group received acupuncture at Zhongwan （CV 12）， Guanyuan （CV 4）， Tianshu （ST 25）， Zusanli （ST 36）， Sanyinjiao （SP 6）， Xuehai （SP 10）， Quchi （LI 11）， Hegu （LI 4）， Taichong （LR 3）， Baihui （GV 20）， and Shenting （GV 24）， once daily，along with bloodletting and cupping at Dazhui （GV 14） and Geshu （BL 17）， every other day. Both groups were treated for 4 weeks. The 7-day urticaria activity score（UAS7） was assessed before and after the treatment， and levels of serum immunoglobulin E （IgE）， interleukin-4 （IL-4）， interleukin-5 （IL-5）， eosinophil cationic protein （ECP）， plasma tissue factor （TF）， activated factor Ⅶ （FⅦa）， prothrombin fragment 1+2 （F1+2）， D-dimer （D-D） and complement component 5a （C5a） were detected. ResultsA total of 65 patients were included in the final analysis， 32 in the loratadine group and 33 in the acupuncture + bloodletting group. Before treatment， there was no significant difference in UAS7 score， serum IgE， IL-4， IL-5， ECP levels， or plasma TF， FⅦa， F1+2， D-D， C5a levels between groups （P＞ 0.05）. After treatment， both groups showed significant reductions in UAS7 score， serum IgE， IL-4， IL-5， and plasma TF， FⅦa， F1+2， D-D， and C5a levels compared to those before treatment （P＜0.01）. However， after treatment， there was no significant difference in UAS7 score and serum ECP， IgE， IL-4， IL-5 levels between groups （P＞0.05）. The acupuncture + bloodletting group showed lower plasma TF， FⅦa， F1+2， D-D and C5a levels compared to the loratadine group （P＜0.05 or P＜0.01）. ConclusionAcupuncture combined with bloodletting and cupping can effectively improve the skin symptoms of CSU patients and reduce the levels of inflammatory factors. The potential mechanism of action may involve the regulation of the coagulation-complement-mast cell activation axis， thereby inhibiting mast cell degranulation.

It is believed that the cause of recurrent trigeminal neuralgia is mainly physical injuries and emotional distress. The core pathogenesis lies in the blockage of meridians and disharmony between the body and mind. Therefore， it is proposed that the treatment should focus on simultaneously regulating the body and the mind， with the therapeutic methods of unblocking the meridians and collaterals， soothing the liver and moving qi， and regulating the mind to relieve pain. In clinical practice， liver-soothing and mind-regulating acupuncture combined with para-nerve acupuncture are commonly used， and puncturing upto the bone is applied to strengthen the analgesic effect， providing a new diagnosis and treatment idea for clinical treatment of recurrent trigeminal neuralgia with acupuncture.

Immune evasion has made ovarian cancer notorious for its refractory features, making the development of immunotherapy highly appealing to ovarian cancer treatment. The immune-stimulating cytokine IL-12 exhibits excellent antitumor activities. However, IL-12 can induce IFN-γ release and subsequently upregulate PDL-1 expression on tumor cells. Therefore, the tumor-targeting folate-modified delivery system F-DPC is constructed for concurrent delivery of IL-12 encoding gene and small molecular PDL-1 inhibitor (iPDL-1) to reduce immune escape and boost anti-tumor immunity. The physicochemical characteristics, gene transfection efficiency of the F-DPC nanoparticles in ovarian cancer cells are analyzed. The immune-modulation effects of combination therapy on different immune cells are also studied. Results show that compared with non-folate-modified vector, folate-modified F-DPC can improve the targeting of ovarian cancer and enhance the transfection efficiency of pIL-12. The underlying anti-tumor mechanisms include the regulation of T cells proliferation and activation, NK activation, macrophage polarization and DC maturation. The F-DPC/pIL-12/iPDL-1 complexes have shown outstanding antitumor effects and low toxicity in peritoneal model of ovarian cancer in mice. Taken together, our work provides new insights into ovarian cancer immunotherapy. Novel F-DPC/pIL-12/iPDL-1 complexes are revealed to exert prominent anti-tumor effect by modulating tumor immune microenvironment and preventing immune escape and might be a promising treatment option for ovarian cancer treatment.

Objective:To analyze the current research status and hot spots of metabolic syndrome after renal transplantation, and provide reference for domestic research in this field.Methods:Computer retrieval of the literature related to renal transplantation metabolic syndrome in the Chinese Biomedical Literature Service System and the Web of Science core collection database was conducted from January First, 2002 to December 31, 2022. The retrieval results were analyzed using Citespace.6.1.R3c software.Results:After screening, a total of 1024 papers related to metabolic syndrome of renal transplantation were included, including 409 Chinese papers and 615 English papers. In the past 20 years, the number of papers related to metabolic syndrome of renal transplantation in foreign countries has increased progressively, and the overall domestic literature has not increased significantly. Domestic and international research focuses mainly on the epidemiology, pathogenesis, risk factors and related hazards of metabolic syndrome in renal transplantation.Conclusions:The research on metabolic syndrome in renal transplantation has received more and more attention, and still has great research prospects. The risk factors and intervention methods of metabolic syndrome in renal transplantation have been the research focus of scholars at home and abroad in recent years. Chinese scholars can further explore on the basis of previous research, strengthen the exchange and cooperation between different fields, institutions and countries, so as to optimize and improve the related research of metabolic syndrome in kidney transplantation.

Guideline of model-informed drug de-velopment was published by National Medical Products Administration in 2020,which provided technical guidance for the application of modeling and simulation in the process of new drug develop-ment.In July 2022,Center of Drug Evaluation con-ducted a questionnaire survey on the practical abili-ty of pharmaceutical industry to apply model-in-formed drug development(MIDD)in the process of new drug development,in order to investigate the practice of MIDD in China.Based on the feedback data collected from enterprises,this paper analyzes the practice of MIDD in domestic pharmaceutical industry,and briefly discusses several problems that still exist at present.

The latest research findings on bidirectional regulation of neuro-immunity through traditional neural circuits shed new light on the theoretical basis of the role of vidian neurectomy (VN). This article aims to provide a comprehensive understanding of VN, including the history of VN, the principle of neuroimmuno-interaction, the applied anatomy of VN as well as the methods of transnasal endoscopic surgery. Additionally, we introduce the concept of the nose-brain axis, which was proposed based on the advancement in the area of neuro-immune interactions.

Allergic rhinitis is a common allergic disease in children.Its pathogenesis is complex and it is difficult to achieve radi-cal cure or effective and stable long-term treatment goals.Chinese medicine has obvious advantages in preventing and treating allergic rhinitis in children due to its wide range of targets,long-lasting effects and few adverse reactions.This paper proposes that the onset of allergic rhinitis is mostly caused by the dysfunction of the lung,spleen and kidney,the external wind triggering the latent wind,and the combination of the two winds.A staged prevention and treatment strategy of Chinese medicine should be adopted,which includes dispersing external wind,suppressing latent wind,and promoting lung-qi and clearing nasal orifice during the attack period to treat its symptoms,and preventing external wind,calming down latent wind,and regulating and tonifying the lung,spleen,and kidney during the remission period to treat its root cause;meanwhile,attention should be paid to avoiding the adverse effects of congenital endowment factors and the induction of acquired environmental factors,strengthening the body's health to protect against the evil wind,preventing the transformation of existing diseases and the recurrence of allergic rhinitis in children at all stages.

Objective This paper aims to construct a scientific and standardized index system for evaluating the applica-tion effect of Diagnosis-Intervention Packet(DIP)in medical institutions.It seeks to determine the weights of indicators at all lev-els to provide a basis for evaluating the effectiveness of DIP used in various regions as well as a reference for improving DIP poli-cy.Methods This paper used literature analysis to develop an indicator pool preliminarily.The Delphi method was used to con-duct a questionnaire survey with 22 experts to establish the index system.It also used the Analytic Hierarchy Process(AHP)to determine the weight of each index.Results A total of two rounds of expert consultation questionnaires were conducted.The questionnaire exhibited high expert positive coefficients by 91.00％and 100.00％and higher authority coefficients of both 0.91 for two rounds.The coordination coefficients of the two rounds of expert consultation met the standard,and the expert opinions reached a consistence.Additionally,the questionnaire established comprised three primary indicators(efficiency of medical in-surance fund,medical service management,patient benefit,and satisfaction),9 secondary indicators,and 38 tertiary indicators.The AHP was used to determine the weight of indicators at all levels.Among the primary indicators,patient benefit and satisfac-tion had the highest weight(0.446 9).Among the secondary indicators,patients'medical cost burden had the highest weight(0.287 6).Among the tertiary indicators,the inpatient satisfaction had the highest weight(0.1592).The Cronbach's α coeffi-cients of the two rounds were＞0.7.Conclusion This paper utilized Delphi method and AHP to establish the evaluation system for assessing the implementation effectiveness of DIP.The approach is highly scientific and authoritative.It can be used to evalu-ate the application effect of DIP and provide an effective tool for medical insurance and hospital managers at all levels to assess DIP payment policies.

Objective:To summarize long-term clinical follow-up results of segment instability between the upper instrumented vertebra (UIV) and the adjacent upper vertebra (UIV+1) and to establish the optimal timing for surgery for UIV+1.Methods:A retrospective analysis was conducted on 265 patients with lumbar degenerative diseases who underwent transforaminal lumbar interbody fusion (TLIF) surgery at the Department of Spinal Surgery, Zhongda Hospital, from January 2014 to December 2018. The cohort included 119 male and 146 female patients, with an average age of 64.93 years (range: 32-86 years). Preoperative dynamic imaging measured sagittal angulation (SA) and sagittal translation (ST) of the UIV+1/UIV segment. Patients with SA>10° or ST>2 mm were categorized into the unstable group, further divided into the unstable non-fusion group and the unstable fusion group based on whether UIV+1 expansion fusion was performed. The remaining patients were classified into the stable group. Imaging indicators, Visual Analogue Scale (VAS) scores, Oswestry disability index (ODI) scores, and Japanese Orthopaedic Association (JOA) scores were compared among the groups, with JOA improvement rates calculated to assess clinical efficacy. Pearson correlation coefficient analysis was employed to examine correlations between preoperative imaging indicators and final follow-up JOA improvement rates. Receiver Operating Characteristic (ROC) curves and the maximum Youden index were utilized to determine thresholds for preoperative SA and ST.Results:The follow-up duration for all patients was 73.53±12.92 months (range: 61-108 months). The stable group (124 cases) included 61 males and 63 females, aged 64.31±9.83 years (range: 44-82 years). The unstable non-fusion group (59 cases) included 22 males and 37 females, aged 65.76±11.01 years (range: 32-86 years). The unstable fusion group (82 cases) included 36 males and 46 females, aged 65.26±8.68 years (range: 47-80 years). At the last follow-up, the unstable non-fusion group exhibited ΔSA 0.90°±1.97° and ΔST 0.77±1.27 mm, both significantly higher than the stable group's ΔSA 0.25°±1.57° and ΔST 0.34±0.34 mm ( t=3.564, P<0.001; t=2.311, P=0.022). Clinical improvements were lower in the unstable non-fusion group compared to the other two groups: VAS (2.28±0.83), ODI (5.91%±3.46%), JOA (24.11±1.78), with a JOA improvement rate of 60%. The stable group showed VAS (1.51±0.69), ODI (3.71%±1.75%), JOA (27.33±1.91), with a JOA improvement rate of 83%. The unstable fusion group had VAS (1.46±0.83), ODI (3.46%±1.81%), JOA (26.48±1.66), with a JOA improvement rate of 78%. These differences were statistically significant ( F=32.117, P<0.001; F=24.827, P<0.001; F=92.658, P<0.001; F=93.341, P<0.001). The JOA improvement rate was negatively correlated with preoperative SA ( r=-0.363, P<0.001) to a low extent, and with preoperative ST ( r=-0.596, P<0.001) to a moderate extent. ROC curve analysis determined the preoperative SA threshold as 11.5° and the preoperative ST threshold as 1.85 mm. Conclusion:Pre-existing instability of the responsible segment UIV and UIV+1 (SA>10° or ST>2 mm) may worsen during long-term follow-up after TLIF. When preoperative SA exceeds 11.5° and ST exceeds 1.85 mm between UIV and UIV+1, performing an extended fusion involving UIV+1 can ensure surgical efficacy over long-term follow-up.

With an aging population, the incidence of osteoporotic vertebral fractures (OVFs) is on the rise, posing new challenges for developing personalized treatment strategies. For patients who do not respond to conservative treatment, percutaneous vertebroplasty or percutaneous kyphoplasty (PVP/PKP) remains the preferred surgical option due to its minimal invasiveness and rapid recovery time. However, progressive local kyphosis (PLK) is one of the most severe complications following PVP/PKP, with an incidence rate of 1.5%-25.8%. PLK often presents with recurring thoracic and lower back pain, and in severe cases, spinal stenosis, causing symptoms like numbness and pain in the lower limbs. The severity of PLK varies, and treatments can range from conservative management and bone cement reinforcement to internal fixation or osteotomy. Current studies suggest that re-fracture of the affected vertebra, intervertebral disc degeneration, and osteonecrosis may be underlying mechanisms. These conditions shift the axial load forward, promoting postoperative PLK, which tends to progress over time. Postoperative PLK is closely associated with patient characteristics, fracture details, surgical factors, and post-surgery osteoporosis management. 1) The severity of osteoporosis, as indicated by the T-score from bone mineral density testing, can help predict postoperative PLK. While factors like age and gender influence osteoporosis severity, no direct relationship has been established between these factors and PLK. 2) Thoracolumbar fractures, old nonunion fractures, endplate fractures, or severe preoperative compression changes with kyphosis can increase PLK risk. Surgical factors, including the use of balloons or implants and the distribution of bone cement, also play a role. Personalized treatment plans should be developed based on the patient's general condition and imaging results to ensure adequate bone cement diffusion, as enhanced integration can reduce PLK risk. 3) Postoperative anti-osteoporosis therapy is also crucial; long-term therapy, particularly with teriparatide, can prevent PLK. Recognizing the related risk factors and establishing predictive models can help clinicians tailor treatments. Machine learning models, utilizing big data, are particularly adept at handling complex interrelated risk factors and may provide a powerful tool for personalized treatment in the future.