Attention deficit hyperactivity disorder （ADHD） is often accompanied by tic disorder. The core pathogenesis is considered to be ministerial fire scorching yin and internal stirring of deficient wind， which leads to disharmony between the body and spirit， resulting in clinical manifestations. The treatment principles emphasize nourishing yin fluids， calming ministerial fire， and extinguishing endogenous wind （内风）. The method of nourishing yin fluids is applied throughout the entire treatment process， commonly using ingredients such as Shudihuang （Rehmanniae Radix Praeparata）， Shanzhuyu （Corni Fructus）， Gouqizi （Lycii Fructus）， Wuweizi （Schisandrae Chinensis Fructus）， and Tusizi （Cuscutae Semen）. These are combined with approaches to harmonize the zang-fu organs， primarily including extinguishing liver wind， clearing heart fire， nourishing kidney water， and strengthening spleen earth， thereby stabilizing ministerial fire and extinguishing endogenous wind. Additionally， emotional regulation and smoothing emotional constraint are essential to improve clinical symptoms in children with ADHD comorbid with tic disorder.

ObjectiveTo conduct a theoretical study on the medical-rehabilitation integration. MethodsStarting from the background, objectives and content of the medical-rehabilitation integration, this study analyzed its innovative points from the dimensions of conceptual innovation, organizational innovation, model innovation and technological innovation. Results and ConclusionThe medical-rehabilitation integration is an innovation in medical services that takes conceptual innovation as the forerunner, organizational innovation as the foundation, model innovation as the carrier and technological innovation as the core.

Hydrogen-rich water (HRW) shows excellent antibacterial, anti-inflammatory, antioxidant, and wound-healing properties and plays a positive role in the treatment of various diseases, such as brain injury, kidney injury, and periodontitis. Current studies found that HRW can inhibit periodontopathogenic biofilm formation, inhibit oral connective tissue and bone tissue destruction, and show anti-inflammatory and antioxidant properties in periodontitis. Additionally, HRW can alleviate periodontal tissue damage by inhibiting oxidative stress and up-regulating the expression of antioxidant enzymes, such as glutathione peroxidase and superoxide dismutase. HRW exerts anti-inflammatory effects by regulating the nuclear factor erythroid 2-related factor 2 and mitogen-activated protein kinase pathways, which are closely associated with inflammation. Additionally, HRW inhibits the expression of inflammatory cytokines, such as interleukins, inhibits the growth and proliferation of bacterial plaque biofilms, and down-regulates glycosyltransferases and glucan-binding proteins to prevent bacterial adhesion and subsequent development of periodontitis. Furthermore, HRW has a positive effect on the expression of various cell growth factors, α-smooth muscle actin, and type I collagen, which promotes wound healing. Current clinical studies have demonstrated the biological safety of HRW (to a certain extent) and reported no adverse reactions. However, most studies on HRW in oral diseases are preclinical in vivo and in vitro studies. Therefore, further clinical studies are required to validate the therapeutic significance and optimal therapeutic regimen of HRW in human periodontitis. This article aims to review the therapeutic role and the underlying mechanisms of HRW in periodontitis.

Objective : To explore the advantages of static navigation in locating calcified root canal therapy, and to provide reference for clinical diagnosis and treatment of calcified teeth. Methods: A case of acute periapical periodontitis of anterior teeth with full-length calcification of root canal was reported. A lingual minimally invasive approach was used as a conservative method of controlling the infection of teeth and preserving the incisors through the digital guide plate. The diagnosis and treatment of this type of case were analyzed retrospectively with reference to the literature. Results: One patient complained that the pain of left anterior teeth was aggravated for 2 days. After examination, he was diagnosed with acute periapical periodontitis of 21 teeth with total root canal calcification. With the assistance of static navigation, the root canal was located after 10 minutes, the calcification was dredged for 15 minutes, and the acute pain symptoms of the patient were relieved that day. After one year of follow-up, there was no discomfort in the teeth, and the range of low-density shadow in the apical film was reduced. After 3 years of follow-up, there was no discomfort in the teeth, and the low-density shadow of the apical root was further reduced by apical film examination. As shown by the results of the literature review, static navigation technology is advantageous because the success rate of dredging calcified root canals is neither associated with the operator’s treatment experience nor the use of microscope and ultrasonic equipment. Regardless of the degree of calcification, this method can significantly reduce the iatrogenic risk, but it is closely related to the accuracy and stability of the guide plate. However, this method is not suitable for calcified teeth with calcification under root canal curvature and limited operating space. Cone-beam computed tomography (CBCT) is recommended to locate calcified root canals, and the imaging quality is an important factor that affects the correct preoperative planning. When performing static navigation endodontic treatment, thermal damage can be reduced by selecting a drill with a small diameter that matches the guide ring and cooling the drill with frozen irrigation solution. Conclusion Static navigation-assisted treatment of calcified root canals is accurate and minimally invasive, which reduces clinical treatment time, preserves the lingual approach at the incisal ridge to further ensure the integrity of teeth, and ensures the long-term preservation of affected teeth.

OBJECTIVE To establish fingerprint， chemical pattern recognition and multi-component quantification analysis of Sanzi powder， and evaluate its quality. METHODS HPLC method was adopted. The fingerprints of 15 batches of Sanzi powder were established by using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were also conducted. The variable importance in projection （VIP） value greater than 1 was used as the index to screen the differential markers， and the contents of the differential markers were determined by the same HPLC method. RESULTS A total of 21 common peaks in the HPLC fingerprints of 15 batches of Sanzi powder were calibrated， and the similarities of them were 0.994- 0.999； 6 common peaks were identified， including gallic acid （peak 3）， garminoside （peak 10）， corilagin （peak 11）， chebulinic acid （peak 16）， ellagic acid （peak 18）， crocin Ⅰ （peak 19）. According to the results of cluster analysis， YKD2024LH005，No.YKD2023LH062） principal component analysis and orthogonal partial least squares-discriminant analysis， 15 batches of samples could be clustered into two categories： S1， S5， S7， S9， S14 were clustered into one category； S2-S4， S6， S8， S10-S13， S15 were clustered into one category. VIP values of 11 differential components such as corilagin， chebulinic acid and ellagic acid were higher than 1. Among 15 batches of samples， the contents of corilagin， chebulinic acid and ellagic acid ranged 2.667-5.152， 9.506- 13.522， 0.891-1.811 mg/g. CONCLUSIONS Established HPLC fingerprint and multi-component quantification analysis of Sanzi powder are rapid and simple， and can be used for quality evaluation of Sanzi powder by combining with chemical pattern recognition. Eleven components such as corilagin， chebulinic acid and ellagic acid are differential markers affecting the quality of Sanzi powder.

By analyzing the current application of multi-modal data in the diagnosis of gastric "inflammation-cancer" transformation， this study explored the feasibility and strategies for constructing a disease-syndrome integrated diagnosis and treatment system. Based on traditional Chinese medicine （TCM） phenomics， we proposed utilizing multi-modal data from literature research， cross-sectional studies， and cohort follow-ups， combined with artificial intelligence technology， to establish a multi-dimensional diagnostic and treatment index system. This approach aims to uncover the complex pathogenesis and transformation patterns of gastric "inflammation-cancer" progression. Additionally， by dynamically collecting TCM four-diagnostic information and modern medical diagnostic information through a long-term follow-up system， we developed three major modules including information extraction， multi-modal phenotypic modeling， and information output， to make it enable real-world clinical data-driven long-term follow-up and treatment of chronic atrophic gastritis. This system can provide technical support for clinical diagnosis， treatment evaluation， and research， while also offering insights and methods for intelligent TCM diagnosis.

Clinical data of a patient with alveolar soft part sarcoma (ASPS) treated at Zhongshan Hospital, Fudan University were retrospectively analyzed. The patient was initially diagnosed with abdominal ASPS with multiple lung metastases. After 6 weeks of treatment with nivolumab and ipilimumab, the patient achieved stable disease (SD). In the 7th week, the treatment was changed to a combination of nivolumab (30 mg, d1, q3w), anlotinib (8 mg, d1-14, q3w) and ipilimumab (50 mg, d1, q6w). The patient remained SD at the 12th week. The patient then underwent iliac artery embolization and intensity-modulated radiation therapy for the lesion in the psoas major muscle, while continuing the combination treatment. By the 24th week, the evaluation showed partial remission (PR) of both primary tumor and lung metastases. The patient experienced mild adverse reactions during treatment.

Objective: To explore the effect of YTH domain family protein 1(YTHDF1) on the activation, proliferation and migration of hepatic stellate cells(HSCs) by regulating mitochondrial fission mediated by mitochondrial fission protein 1(Fis1). Methods: The mouse hepatic stellate cell line JS-1 was treated with 5 ng/ml TGF-β1 for 24 h to induce its activation and proliferation, andYTHDF1-siRNA was used to construct aYTHDF1silencing model.The experiment was divided into Control group, TGF-β1 group, TGF-β1+si-NC group and TGF-β1+si-YTHDF1 group.Expression changes ofYTHDF1,Fis1and key indicators of fibrosis, type Ⅰ collagen(CollagenⅠ) and α-smooth muscle actin(α-SMA) were detected through reverse transcription quantitative polymerase chain reaction(RT-qPCR) and Western blot; CCK-8 was used to detect cell proliferation ability; Transwell migration assay and cell scratch assay were used to detect cell migration ability; immunofluorescence staining experiment was used to detect the effect ofYTHDF1onFis1-mediated mitochondrial fission; finally, JC-1 staining was used to experimentally detect the effect ofYTHDF1on mitochondrial membrane potential. Results: Compared with the Control group, RT-qPCR and Western blot experimental results showed that the expression ofYTHDF1andFis1increased in the TGF-β1 group(P<0.05,P<0.01;P<0.000 1), as well as the fibrosis markersCollagenⅠand the expression level of α-SMA increased(P<0.01;P<0.001,P<0.000 1); while adding CCK-8, the experimental results showed that the proliferation ability of HSCs in the TGF-β1 group was enhanced(P<0.000 1); Transwell experimental results showed that the migration ability of HSCs in the TGF-β1 group was enhanced(P<0.01); the cell scratch experiment results showed that the migration ability of HSCs in the TGF-β1 group was enhanced(P<0.000 1); the immunofluorescence experiment results showed that the TGF-β1 group Mito-Tracker Red staining andFis1co-localization signal increased(P<0.05); JC-1 staining experiment results showed that the mitochondrial membrane potential increased in the TGF-β1 group(P<0.01). Compared with the TGF-β1+si-NC group, RT-qPCR and Western blot experimental results showed that the expression ofYTHDF1andFis1in the TGF-β1+si-YTHDF1 group was reduced(P<0.01;P<0.001), and fibrosis markers the levels ofCollagenⅠandα-SMAwere reduced(P<0.01;P<0.001,P<0.01).CCK-8 experimental results showed that the proliferation ability of HSCs in the TGF-β1+si-YTHDF1 group was weakened(P<0.000 1); Transwell experiment results showed that the migration ability of HSCs in the TGF-β1+si-YTHDF1 group was weakened(P<0.001); cell scratch experiment results showed that the migration ability of HSCs in the TGF-β1+si-YTHDF1 group was weakened(P<0.000 1); immunofluorescence experiment results showed that the Mito-Tracker Red staining andFis1co-localization signal decreased in the TGF-β1+si-YTHDF1 group(P<0.01); JC-1 staining experiment results showed that mitochondrial membrane potential decreased in the TGF-β1+si-YTHDF1 group(P<0.05). Conclusion YTHDF1promotes the activation, proliferation and migration capabilities of HSCs by positively regulatingFis1-mediated mitochondrial fission. This suggests thatYTHDF1may be a key gene involved in regulating the activation, proliferation and migration of HSCs.

BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

BACKGROUND:Fixed-point rotation manipulation of cervical spine is a mechanical operation with high technical requirements,but the biomechanics of fixed-point manipulation of cervical spine still lacks relevant quantitative data.Moreover,the research on the influencing factors of cervical fixed-point rotation manipulation includes many parameters and there are differences,so it is necessary to further analyze its influencing factors to improve its related data. OBJECTIVE:To quantify the biomechanical parameters of cervical spine fixed-point rotation manipulation,explore the correlation between different biomechanical parameters,and the influence of individual characteristics of the subjects on the biomechanical parameters of cervical spine fixed-point rotation manipulation. METHODS:Totally 35 cases of cervical spondylosis were Outpatients from Orthopedic Department of Renai Branch of the First Affiliated Hospital of Guangxi University of Chinese Medicine and selected as the subjects investigated.Wearable mechanical measuring gloves were used to collect biomechanical parameters of cervical spine fixed-point rotation manipulation,including:thumb preload,thumb maximum thrust,palm preload,palm wrench force,and palm wrench maximum force.Personal characteristic parameters were collected,including age,height,weight,and neck circumference.The key biomechanical parameters in the process of cervical spine fixed-point rotation manipulation were analyzed and different individual characteristics were quantified.The results of biomechanical parameters were analyzed using Spearman correlation analysis.The possible effects of different individual characteristic parameters on biomechanics were analyzed. RESULTS AND CONCLUSION:(1)Compared with bilateral mechanical parameters,there was no significant difference between left manipulation and right manipulation(P>0.05).(2)The average of thumb preload force was(7.21±1.19)N;the average of thumb maximum thrust was(28.40±4.48)N;the average of palm preload was(5.67±2.49)N;the average of palm wrench force was(10.90±5.11)N,and the average of palm wrench maximum force was(16.00±7.27)N.(3)There was a significant positive correlation between palm preload and palm wrench force(Rs=0.812,P<0.01).There was a significant positive correlation between palm preload and palm wrench maximum force(Rs=0.773,P<0.01).There was a significant positive correlation between palm wrench force and palm wrench maximum force(Rs=0.939,P<0.01).(4)The weight was positively correlated with thumb preload,palm preload,palm wrench force and palm wrench maximum force(P<0.05).(5)These findings confirm that there is a certain biomechanical standard value in the operation of cervical spine fixed-point rotation manipulation to treat cervical spondylosis.There is no significant difference between the left and right manipulations,which indicates that the manipulation has good consistency and repeatability.There is consistency and coordination among palm preload force,palm wrench force,and palm wrench maximum force.Their contributions to the therapeutic effect are similar.Body weight is an important factor affecting cervical spine fixed-point rotation manipulation.