Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

ObjectiveTo investigate the role of Ras-GTPase-activating protein SH3 domain-binding protein 2 （G3BP2） in regulating the activation， proliferation， and migration of hepatic stellate cells （HSCs）. MethodsThe mouse HSCs （JS-1 cell line） were treated with 5 μg/L transforming growth factor-beta 1（TGF-β1） for 24 hours to establish an HSC activation and proliferation model. A G3BP2 knockdown system was constructed using siRNA interference technology. The experiment was divided into four groups： Control， TGF-β1 treatment， TGF-β1+si-NC， and TGF-β1+ G3BP2-siRNA. The expression levels of key fibrosis indicators， including type I collagen （Collagen I）， α-smooth muscle actin （α-SMA）， and G3BP2， were detected by Western blot and RT-qPCR. Cell proliferation activity was assessed using the CCK-8 proliferation assay kit and EdU fluorescence labeling technology. Cell migration ability was analyzed by scratch wound healing assay and Transwell migration assay. The formation level of stress granules was quantified by immunofluorescence microscopy to investigate the effects of G3BP2 on stress granule formation in activated HSCs. ResultsStimulation with TGF-β1 upregulated the expression of G3BP2 in JS-1 cells （RT-qPCR： P0.000 1； Western blot： P0.000 1）， while a downward trend in its expression was observed in the G3BP2‑silenced group （RT-qPCR： P0.01； Western blot： P0.000 1）. Compared with the control group， the TGF-β1 group exhibited increased protein expression levels of α-SMA and Collagen I （RT-qPCR： both P0.01； Western blot： P0.01 and P0.05， respectively）， concomitant with an increased number of stress granules and enhanced cell proliferation and migration capacity （all P0.001）. The experimental results demonstrated that G3BP2 knockout effectively reversed the aforementioned phenotypes， with the G3BP2-silenced group showing reduced expression of fibrotic markers （all P0.01）， decreased stress granule formation （P0.01）， and reduced cell proliferation and migration capacity （all P0.05）， compared to the negative control group. ConclusionG3BP2 enhances the activation， proliferation， and migration of HSCs by promoting the formation of stress granules， thereby accelerating the pathological progression of liver fibrosis. This suggests that stress granules may serve as important regulators in controlling the activation， proliferation， and migration of HSCs.

ObjectiveTo explore the possible mechanism of action of Bushen Huoxue Granules （补肾活血颗粒， BHG） in the treatment of Parkinson's disease （PD） through the Nrf2/NLRP3 inflammasome axis. MethodsA total of 84 male C57/BL 6 mice were randomly divided into blank group， model group， Madopar group， dimethyl fumarate group， and low-， medium， and high-dose BHG group， with 12 mice in each group. Except for the blank group， all groups were induced into PD models by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine （MPTP） at a concentration of 30 mg/ml for 7 consecutive days. The blank group received an equal volume of saline. After model establishment， the low-， medium， and high-dose BHG groups were treated with 1.5， 3， and 6 g/（kg·d） of the BHG by gavage， respectively. The Madopar group was given 0.113 g/（kg·d） of Madopar tablets by gavage， and the dimethyl fumarate group was given 50 mg/（kg·d） of dimethyl fumarate solution. The blank group and the model group were given 10 ml/（kg·d） of distilled water by gavage. Gavage was administered once daily for 14 days. Behavioral changes were evaluated using the open field test （total distance， central area distance， and average speed）， rotarod test （time on the rod）， and climbing pole test （climbing time）. Serum levels of interleukin-1β （IL-1β）， interleukin-18 （IL-18）， and myeloperoxidase （MPO） were measured by ELISA. Immunohistochemistry was used to detect tyrosine hydroxylase （TH） expression in the brain substantia nigra. Immunofluorescence was used to detect α-synuclein （α-syn） expression. Western Blot was used to detect Nrf2， NLRP3， Caspase-1， and α-syn protein levels in the brain substantia nigra. RT-PCR was used to detect mRNA expression levels of Nrf2， NLRP3， and Caspase-1 in the brain substantia nigra. ResultsCompared with the blank group， the model group showed decreased total distance， central area distance， and average speed， reduced time on the rotarod， prolonged climbing time， reduced TH expression， increased α-syn expression， decreased Nrf2 protein and mRNA expression， increased NLRP3 and Caspase-1 protein and mRNA expression， and elevated serum IL-1β， IL-18， and MPO levels （P＜0.05）. Compared with the model group， all drug interventions significantly improved the above indicators （P＜0.05）. There was no significant differences in all indicators between the high-dose BHG group and the Madopar group （P＞0.05）. Compared with the dimethyl fumarate group， the medium and high-dose BHG groups showed increased Nrf2 mRNA expression in the brain substantia nigra （P＜0.05）. Compared with the high-dose BHG group， the low-dose group showed decreased total distance， central area distance， and average speed， reduced serum IL-18 levels， decreased α-syn， Nrf2， NLRP3， and Caspase-1 protein levels， and lower Nrf2 mRNA expression （P＜0.05）. ConclusionThe mechanism by which BHG treat PD may involve activating the Nrf2/NLRP3 inflammasome axis in the brain substantia nigra， thereby reducing neuroinflammation and α-syn aggregation. The high-dose group showed the best effects.

ObjectiveTo study the characteristics of the five tones of Parkinson's disease （PD） patients based on the theory of "five-viscera phonology"， and provide references for the syndrome differentiation and treatment of PD. MethodsA total of 272 cases of PD patients were collected as the PD group， and 240 individuals， including patient family members and hospital staff， were recruited as the control group. The 25-tone analyzer was used to collect the five-tone characteristics of both PD patients and control group participants. The participants were then stratified into three age groups， 41~55， 56~70， and 71~85 years old， and categorized by gender （male and female） for analysis. The frequency and composition ratio of the five tones were analyzed for both groups across the different age ranges and genders. Additionally， the average voice frequency of each participant was calculated to compare differences between groups， stratified by age range and gender. ResultsIn the 41~55 and 56~70 age groups， male participants in the PD group and the control group exhibited the highest frequency of Yu （羽） tone， with the PD group showing a significantly higher composition ratio of Yu tone compared to the control group （P＜0.05）； for males in the 56~70 age group， the composition ratios of Shang （商） and Zhi （徵） tone in the PD group were lower than those in the control group （P＜0.05）. For males in the 71~85 age group， both the PD group and the control group had the highest frequency of Yu tone， but there was no statistically significant difference in the composition ratios of the five tones between groups （P＞0.05）. For female participants in the PD group across all age groups， Yu tone was the most frequent， whereas for the control group， Jue （角） tone was the most frequent in all age groups， and the composition ratio of Yu tone in the PD group was significantly higher than that in the control group across all age groups （P＜0.05）； in the 56~70 age group， the composition ratio of Jue tone was lower in the PD group compared to that in the control group （P＜0.05）. Regarding voice frequency， males in the PD group aged 41~55 and 56~70 had higher voice frequency than those in the control group of the same age range， and similarly， females in the PD group aged 56~70 and 71~85 had higher voice frequency than their counterparts in the control group （P＜0.05）. ConclusionPD patients have a voice with a higher frequency and an increased proportion of Yu tone in their five-tone distribution. According to the theory of five-viscera phonology， PD patients may have disease mechanism of kidney essence deficiency.

ObjectiveTo investigate the possible mechanism of Bushen Huoxue Granule （补肾活血颗粒， BHG） in treating Parkinson's disease （PD） from the perspecitve of dopamine （DA） homeostasis. MethodsSeventy-two mice were randomly divided into blank group， model group， madopar group and BHG low-， medium- and high-dose groups， with 12 mice in each group. Except for the blank group， all mice were administered intraperitoneal injections of 1-methyl-4-phenyl-1，2，3，6-tetrahydropyridine （MPTP） for 7 consecutive days to induce a PD model. On the day following the injection， BHG low-， medium- and high-dose groups were administered BHG at doses of 1.25， 2.5， and 5.0 mg/（g·d） by oral gavage， respectively， while the madopar group received madopar tablets at dose of 0.093 8 mg/（g·d） by oral gavage. The blank group and the model group were given 0.2 ml/10 g of distilled water by gavage. All treatments were given once daily for 14 days. Open field test， pole climbing test and grip test were used to evaluate the behavior of mice in each group. Immunohistochemistry was used to detect the expression of tyrosine hydroxylase （TH） in striatum. Nissl staining was used to detect the activity of striatal neurons. The contents of DA and 3,4-dihydroxyphenylacetic acid （DOPAC） in striatum were detected by ultra performance liquid chromatography tandem mass spectrometry. The number and volume of synaptic vesicles were observed by transmission electron microscope. The expression of vesicular monoamine transporter 2 （VMAT2） in striatum was detected by immunofluorescence. Western Blot was used to detect the expression of extracellular signal-regulated kinase （ERK）， phosphorylated ERK （p-ERK）， cAMP response element-binding protein （CREB）， phosphorylated CREB （p-CREB） and VMAT2 in striatum. ResultsCompared to the blank group， mice in the model group showed a significant decline in total distance and average speed in the open field test， along with an increase in total resting time； in the pole test， both the time required for the mice to turn completely downward （T-turn） and the total time taken to reach the bottom of the pole （T-total） were prolonged； forelimb grip strength was reduced； in the striatum， the mean optical density of TH， the average fluorescence intensity of VMAT2 protein， and DA content all decreased， while the number of striatal neurons was reduced， and the DOPAC/DA ratio was elevated； the levels of p-ERK/ERK， p-CREB/CREB， and VMAT2 in the striatum significantly decreased （P＜0.01）； transmission electron microscopy revealed that both the number and volume of synaptic vesicles in striatal neurons were markedly reduced. Compared to the model group， mice in the madopar group and BHG low-， medium- and high-dose groups showed significant improvements in all the above indicators （P＜0.05 or P＜0.01）. Compared to madopar group， the BHG high-dose group exhibited increased DA content and elevated p-CREB/CREB ratio in the striatum （P＜0.05）. Compared to the BHG low-dose group， the BHG high-dose group showed increased total distance and mean velocity， decreased total resting time， T-turn， and T-total， as well as enhanced forelimb grip strength； moreover， the average fluorescence intensity of VMAT2 protein， DA content， p-ERK/ERK， p-CREB/CREB， and VMAT2 levels in the striatum were all significantly elevated （P＜0.05 or P＜0.01）. ConclusionBHG may restore DA homeostasis and alleviate the damage of dopaminergic neurons by regulating ERK/CREB/VMAT2 signaling pathway.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To analyze the relationship between 24-hour urinary calcium (24 h UCa) level and the risk of end-stage kidney disease (ESKD), cardiovascular disease (CVD), and all-cause mortality.Methods:In the Chinese Cohort Study of Chronic Kidney Disease, we examined 3 375 patients aged 18-74 years with CKD stages 1-4. Kaplan-Meier survival and Cox proportional hazard regression models were used to test a time-to-event association between levels of 24 h UCa and incidence of ESKD, CVD, and all-cause mortality.Results:During a follow-up of 4.17 (3.37, 5.20) years, 179, 145, 104 and 38 ESKD events occurred in <0.60, 0.60-, 1.20-, ≥2.32 mmol 24 h UCa groups. Higher levels of 24 h UCa (1.20-,≥2.32 mmol) were independently associated with a lower incidence of ESKD events in patients with CKD, with HR (95% CI) of 0.71 (0.54-0.93) and 0.43 (0.29-0.64), respectively. No significant associations with CVD and all-cause mortality endpoints were detected. Conclusion:Among patients with CKD, levels of 24 h UCa displayed an association with the risk of ESKD among patients with CKD stages 1-4.

Hepatitis B virus（HBV）infection remains a major global public health challenge. Over the past three decades，significant progress has been made in HBV prevention and control，including the widespread implementation of hepatitis B vaccination and mother-to-child transmission（MTCT）blockade strategies，advancements in antiviral therapies，and improvements in public health awareness. The extensive administration of hepatitis B vaccines has markedly reduced the incidence of new infections. The development of antiviral treatments，such as nucleos（t）ide analogues，has effectively suppressed viral replication，thereby decreased the incidence of liver cirrhosis and hepatocellular carcinoma. Furthermore，enhanced public health awareness and the implementation of screening programs have enabled earlier diagnosis and treatment for more patients. Nevertheless，the complete elimination of hepatitis B continues to face challenges. Firstly，inadequate vaccine coverage，particularly in low- and middle-income countries，sustains the risk of HBV transmission. Secondly，suboptimal diagnosis and treatment rates persist among individuals with chronic HBV infection. Additionally，the long-term management of chronic HBV carriers remains complex，necessitating continuous monitoring and personalized therapeutic strategies. This article summarizes the major achievements in the prevention and control of hepatitis B over the past 30 years，analyzes current challenges，and explores future directions. Novel vaccines，including therapeutic vaccines and mRNA-based vaccines，are demonstrating therapeutic potential in clinical trials and may offer new hope for chronic hepatitis B patients. Emerging antiviral agents，such as capsid assembly modulators and RNA interference-based therapeutics，which target distinct stages of the HBV life cycle，hold promise for achieving functional cure of hepatitis B. In conclusion，despite ongoing challenges，the complete elimination of hepatitis B remains an attainable goal through sustained innovation and global collaboration.

Chronic hepatitis B（CHB）is one of the major challenges in the global public health field. As of 2022，approximately 254 million people worldwide were infected with the hepatitis B virus（HBV）. CHB is one of the main causes of liver cirrhosis and hepatocellular carcinoma（HCC）. Nucleos（t）ide analogs（NAs）and interferon therapy can delay the progression of liver fibrosis by inhibiting viral replication，but they cannot completely avoid the problem of heterogeneous treatment responses. Some patients are in a state of low-level viremia（LLV）during treatment. The persistent LLV state can induce chronic inflammation and the progression of liver fibrosis，ultimately increase the risk of HCC. In patients with poor treatment responses，the continuous active viral replication can induce immune disorders，accelerate the evolution of fibrosis to the decompensated stage of liver cirrhosis，and increase the risk of patient death. This article aims to review the definition，mechanisms，and impact on treatment outcomes of LLV and suboptimal response based on the latest research，provide a basis for optimizing antiviral therapy for CHB.

Objective:To investigate how age and nail-tract volumetric bone mineral density (vBMD) are associated with postoperative mechanical performance of proximal femoral nail anti-rotation (PFNA-Ⅱ) fixation for geriatric intertrochanteric fractures using a finite-element analysis.Methods:Fifteen elderly patients with intertrochanteric fracture of the femur were selected for this study. They were 11 females and 4 males and divided into 5 groups based on their ages ( n=3): 55-year-old, 65-year-old, 75-year-old, 85-year-old, and 95-year-old groups. After three-dimensional models of the proximal femur were constructed using the preoperative CT data of their healthy contralateral hip, 31-A1.2 fractures of the AO/OTA type were created and PFNA-Ⅱ fixations simulated. Two loading schemes were created: graded quasi-static axial loads (700 N, 1,400 N, 2,100 N, and 2,800 N) were applied to compute equivalent plastic strain volumes in the femoral head region; displacement-controlled loading was applied to failure to derive load-displacement curves for stiffness and the maximum failure load. Nail-tract vBMD and regional hip vBMDs were measured by quantitative CT. Pearson correlation analysis was conducted to investigate the associations of age and nail-tract vBMD with the aforementioned mechanical indicators. Results:Under the same load, compared with the 55-year-old, 65-year-old, and 75-year-old groups, the plastic strain unit volumes of the fracture models in the 85-year-old and 95-year-old groups increased significantly. Under a load of 700 N, no plastic strain was observed in the fracture models in the 55-year-old, 65-year-old, and 75-year-old groups, while an average plastic strain of approximately 50 mm 3 was observed in the fracture models in the 85-year-old group. Under a load of 2,800 N, the high strain areas in the fracture models in the 85-year-old and 95-year-old groups were mainly concentrated at the tip of the head nail and the junction between the head nail and the main nail. Load-displacement curves showed a marked reduction in the failure load in patients aged ≥85 years. Under loads of 1,400 N, 2,100 N, and 2,800 N, there was a strong association between the nail-tract vBMD and the volume of the plastic strain unit ( r=-0.82, -0.88, -0.89, respectively), which was stronger than those for total-hip vBMD. Conclusions:Finite-element analysis indicates that age and nail-tract vBMD are closely related to local plastic strain and overall stiffness of the proximal femur after PFNA-Ⅱ fixation for the geriatric intertrochanteric fractures. Patients aged ≥85 years old are more prone to plastic yielding, which compromises fixation stability.