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.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

The liver has diverse functions such as metabolism， detoxification， and immune defense， and the maintenance of hepatic microenvironment homeostasis is crucial for overall bodily health. The hepatic microenvironment consists of the components such as parenchymal cells， non-parenchymal cells， and non-cellular components. Chronic inflammatory responses induced by various etiological factors may promote the formation and progression of liver fibrosis. During the dynamic progression of liver fibrosis， from the early to advanced stages， various components within the hepatic microenvironment undergo a series of changes， which can promote the malignant progression of liver fibrosis. An in-depth exploration of the mechanisms underlying such changes in each component of the liver fibrosis microenvironment is of great significance for understanding the pathogenesis of liver fibrosis and discovering potential treatment strategies.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.

Anxiety is a major emotional disorder manifested in the individual's expectation of future threats.The incidence rate of anxiety is about 7.3％,with the highest lifetime prevalence rate among mental health conditions.The mechanism of anxiety overlaps with depression,and anxiety is a typical symptom of various mental diseases or emotional disorders in traditional Chinese medicine.The high rates of comorbidity and disability pose serious threats to people's health.Animal models are important tools for studying anxiety and are of great use for deciphering the pathogenesis of anxiety and for developing drugs.The traditional paradigm of stress-induced anxiety,however,is relatively limited.Based on traditional theory combined with clinical and animal experimental data,we propose a new hypothesis of"insufficiency of ZhiYi'causing anxiety,defined as"an anxiety state induced by the inability of an individual to meet their own needs,limited or lacking after multiple attempts,rendered hindered and powerless by an inability to meet their desires".This hypothesis is more in line with the typical manifestations of despair,lack of pleasure,and social withdrawal in clinical patients,and is supported by traditional theory and experimental data showing"hunger but unable to eat,food but unable to obtain,and gain but not full".Based on this,the established modeling paradigm is easy to apply,with good repeatability and low cost,and can be used to establish anxiety models in rats and mice,to provide a theoretical and model basis for the development and pharmacological evaluation of anti-anxiety drugs.

Depression,as a severe psychological and psychiatric disorder,significantly impairs the long-term physical and mental health of patients.Current depression detection methods are plagued by strong subjectivity,limited techniques,and inadequate intelligence.Previous studies have mostly relied on single-modal signal analysis,making it difficult to comprehensively reflect the multidimensional characteristics of depression.Based on the independently developed intelligent depression detection system,wearable devices are used to collect prefrontal dual-lead EEG signals,PPG signals,and single-lead ECG signals.Data from 30 patients with depression and 40 healthy controls are collected and analyzed.A multimodal depression recognition model named RBLF-Net is proposed,which integrates spatiotemporal features,weighted attention,and random forests to utilize the multi-signal features for depression recognition.The model exhibits superior performance in the five-fold cross-validation,achieving a classification accuracy of 81.43%,a precision of 81.02%,and a recall rate of 81.25%,outperforming other comparative models,and thus providing an intelligent analysis approach for depression recognition from the perspective of multi-modal fusion.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.