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.

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.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

OBJECTIVE Melatonin(MEL),a natural hormone with broad-spectrum anticancer effects,has been shown to potentiate the therapeutic outcomes of conventional chemotherapy.This study aims to investigate the combined effects of Doxorubicin(DOX)and MEL on head and neck squamous cell carcinoma(HNSCC)cell lines.METHODS The effects of MEL and DOX on cell proliferation in HNSCC cell lines TU686 and CAL-27 were assessed using the MTT assay.The effects of MEL and DOX on reactive oxygen species(ROS)expression levels in HNSCC cell lines were detected using DCFH-DA fluorescent probe.The effects of MEL and DOX on 8-hydroxy-2′-deoxyguanosine(8-oxodG)levels in HNSCC cell lines were measured by enzyme-linked immunosorbent assay(ELISA).The effects of MEL and DOX on γ-H2AX protein levels in HNSCC cell lines were analyzed via Western blot.The effects of MEL and DOX on antioxidant enzymes levels in HNSCC cell lines were evaluated based on spectrophotometry.The effects of MEL and DOX on cell apoptosis in HNSCC cell lines were detected using an ELISA cell death detection kit.RESULTS The MTT assay revealed that MEL significantly enhanced the cytotoxic effects of DOX in HNSCC cell lines(tTU686=13.51,tCAL-27=17.580,all P<0.05).The combination of MEL and DOX markedly increased intracellular ROS levels(FTU686=89.984,FCAL-27=102.853,all P<0.05),while the expression of antioxidant enzymes was significantly reduced(TU686:the F values of CAT,GPx,GR,GST and SOD are 176.035,34.662,20.260,120.105 and 184.254,all P<0.05;CAL-27:the F values are 96.801,177.398,97.849,102.750 and 186.608 respectively,all P<0.05).Furthermore,this combination treatment significantly elevated the expression levels of 8-oxodG(FTU686=200.078,FCAL-27=663.982,all P<0.05)and γ-H2AX(FTU686=192.500,FCAL-27=285.700,all P<0.01)in HNSCC cell lines.Additionally,compared to single-agent treatment,MEL significantly enhanced DOX-induced apoptosis in HNSCC cell lines(FTU686=2718.253,FCAL-27=5185.334,all P<0.01).CONCLUSION The combination of MEL and DOX can enhance cytotoxic effects on HNSCC cell lines,increase intracellular ROS levels,induce DNA oxidative damage,and impair cellular antioxidant defense capacity,thereby effectively promoting HNSCC cell apoptosis.This combination may represent a novel therapeutic approach to improve clinical outcomes in HNSCC.

Objective To compare the changes in biological indicators of human corneal epithe-lial(HCET)cells and rabbit corneas after exposure to different doses of ultraviolet B(UVB)radia-tion,so as to evaluate the impact of UVB radiation on corneal injury effects.Methods In cell exper-iment,HCET cells were divided into groups with radiation doses of 0,6,12,18,and 24 mJ/cm2.The effect of UVB radiation on HCET cell viability was detected using the CCK-8 assay,and the level of intracellular DNA damage was assessed by immunofluorescence.In the animal experiment,15 healthy New Zealand white rabbits(30 eyes)were randomly divided into groups with radiation doses of 0,1.35,2.16,4.32,and 6.48 J/cm2.The UVB exposure time for the radiation groups was 30 minutes per day for 3 consecutive days.Corneal injury was evaluated using methods such as slit-lamp microscopy,sodium fluorescein staining,central corneal thickness measurement,optical coherence tomography(OCT)imaging,and hematoxylin and eosin(HE)staining.Results Compared with the control group,cell viability in the radiation groups gradually decreased,and the level of DNA damage gradually increased with increasing radiation dose.As the radiation dose increased in the radiation groups,the degree of corneal opacity in rabbits gradually worsened,the central corneal area gradu-ally thickened,and OCT revealed high-intensity scattered light signals with the formation of shadow areas.Results from HE staining,immunohistochemistry,Western blot(WB),and sodium fluores-cein staining showed that the 1.35 J/cm2 group caused mild corneal injury,with damage reaching the corneal epithelial layer.In the 2.16 J/cm2 group,the corneal injury presented as dense punctate distribution,with damage extending from the epithelial layer to the superficial stroma.The number of ephrin type-A receptor 2(EphA2)protein-stained cells was relatively small,and the staining was light,showing a weak positive result.In the 4.32 J/cm2 and 6.48 J/cm2 groups,the corneal injury was irreversible,with damage gradually progressing from the corneal epithelial layer and superficial stroma to the endothelial layer.The number of EphA2 protein-stained cells was relatively large,and the staining was dark,showing a strong positive result.Conclusion This study comprehensively e-valuates the dose-dependent injury effects of UVB on HCET cells and New Zealand white rabbit cor-neas through cell and animal experiments.It elucidates that UVB radiation could induce corneal cell DNA damage,promote inflammatory responses,and trigger apoptosis by upregulating γ-phosphoryla-ted histone H2AX(γH2AX)and EphA2.The self-repair ability and process of corneal injury are preliminarily explored,providing a basis for further research on mechanisms of corneal injury caused by ultraviolet radiation and the development of protective drugs.

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 man-agement system,and novel tools and methods with Chinese characteristics.Results:The ChP 2025 edition demon-strates three prominent features in microbiological-related standards:enhanced international harmonization,intro-duced emerging molecular biological technologies,and established a risk-based microbiological quality control sys-tem.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.

Objective:To investigate the predictive ability of Glypican-3 (GPC3) positive hepatocellular carcinoma based on the hepatobiliary specific contrast agent gadoxetate disodium enhancement of the liver imaging reporting and data system version 2018 (LI-RADS v2018) imaging features, and to assess the relevant clinical imaging features for postoperative recurrence in GPC3 positive HCC patients.Methods:This study was a cohort study. A total of 122 hepatocellular carcinoma patients who underwent gadoxetate disodium enhanced MRI examination with hepatic tumor resection in Henan Provincial People′s Hospital from January 2017 to December 2021 were retrospectively collected, including 96 GPC3 positive and 26 GPC3 negative patients. The imaging features defined by LI-RADS v2018 of HCC lesions were analyzed. Patients were followed up for 40 months to determine recurrence free survival (RFS). The logistic regression was used to analyze the risk factors of GPC3 positivity. An imaging model, and a clinical-imaging model which combined the patient′s alpha-fetoprotein levels were constructed. The efficacy of the model for predicting GPC3 positivity was assessed using receiver operating characteristic curves. Kaplan-Meier method was used to draw the survival curve, and the log-rank test was used to compare the RFS between GPC3 positive and negative patients. Risk factors affecting the recurrence of GPC3 positive HCC were assessed by Cox regression.Results:The results of logistic multivariate regression analysis confirmed that rim enhancement ( OR=5.685, 95% CI 1.229-26.287, P=0.026) and irregular tumor margin at hepatobiliary phase ( OR=4.431, 95% CI 1.684-11.663, P=0.003) were independent risk factors for GPC3 positive HCC. The area under the curve for predicting GPC3 positivity was 0.745 (95% CI 0.636-0.854) for the imaging model and 0.776 (95% CI 0.677-0.876) for the clinical-imaging model. The mean RFS in the GPC3 positive group was 22 months, and it was 32 months in the negative group. There was a statistically significant difference in RFS between the two groups ( χ2=5.15, P=0.023). The multivariate Cox regression analysis showed that the arterial rim enhancement ( HR=5.460, 95% CI 1.966-15.162, P=0.001), microvascular invasion ( HR=2.402, 95% CI 1.210-4.769, P=0.012), portal vein tumor thrombus ( HR=3.226, 95% CI 1.114-9.344, P=0.031) were independent risk factors for recurrence after hepatic tumor resection for GPC3-positive HCC. Conclusions:A model based on the LI-RADS v2018 imaging features of hepatobiliary specific contrast agent gadoxetate disodium enhancement can effectively predict GPC3 positive HCC. The arterial rim enhancement, microvascular invasion and portal vein tumor thrombus are independent risk factors for postoperative recurrence of GPC3 positive HCC.

Objective:To investigate the expression of nuclear matrix protein 4 (NMP4) in hepatocellular carcinoma (HCC), and its relationship with clinicopathological features and survival prognosis of patients.Methods:The clinical data of 100 HCC patients who were treated with radical resection of liver cancer in the Department of Hepatobiliary Surgery of the Third Affiliated Hospital of Wenzhou Medical University from July 1, 2014 to July 1, 2019 were retrospectively analyzed. There were 63 males and 37 females, aged (58.5±10.4) years old. Immunohistochemical method was used to detect the expression of NMP4 protein in HCC cancer tissue and the corresponding adjacent normal tissue. According to the expression of NMP4 in HCC tissues, 100 patients were divided into two groups: the NMP4-positive expression group ( n=62) and the NMP4-negative expression group ( n=32). Univariate analysis was performed on the relationship between NMP4 expression and clinical pathological features as well as overall survival of HCC patients. Cox multivariate analysis was performed on the factors influencing postoperative prognosis of HCC patients. Results:Immunohistochemistry results showed that NMP4 was primarily expressed in the nucleus, the positive expression rate of NMP4 in HCC tissues was higher than that in adjacent non-cancerous tissues [62.0% (62/100) vs. 8.0%(8/100)], and the difference was statistically significant ( χ2=2.12, P=0.003). Univariate analysis revealed that the overall survival of HCC patients was correlated with the degree of tumor differentiation, tumor length, BCLC stage, number of tumor foci, vascular tumor thrombus and expression of NMP4 (all P<0.05). Cox multivariate analysis revealed that low differentiation, high BCLC stage (stage C), number of tumor foci (≥3), and positive expression of NMP4 were independent risk factors affecting postoperative survival and recurrence-free survival of HCC patients. The median overall survival and median recurrence-free survival of HCC patients in the NMP4-positive expression group were 22.3 months and 11.5 months, respectively. In contrast, that in the NMP4-negative expression group were 40.6 months and 19.4 months, respectively. The cumulative survival rate and recurrence-free survival rate of HCC patients in the NMP4-positive expression group were lower than those in the NMP4-negative expression group, and the differences were statistically significant (both P<0.05). Conclusion:Positive NMP4 expression was closely correlated with malignant biological progression and poor prognosis of HCC patients.

Stromal interaction molecule 1 (STIM1) is a key component mediating store-operated calcium entry (SOCE), which controls the opening and closing of plasma membrane Ca 2+ channels by sensing the Ca 2+ content of endoplasmic reticulum luminal stores, and thus affects the processes of cell adhesion, migration, gene expression and proliferation. Studies have shown that STIM1 is abnormally expressed in a variety of cells such as neurons, endothelial cells and platelets during ischemic stroke (IS) development; it plays an important role in the pathological processes regulating hypertension, promoting thrombosis, activating cellular autophagy, mediating apoptosis and promoting neuroinflammation. This review summarizes the research progress of STIM1 in the development and prognostic assessment of IS, and seeks to provide theoretical references for potential therapeutic targets for IS.

BACKGROUND:Previous studies on cervical instability failed to explain the dynamic and static interaction relationship and pathological characteristics changes in the development of cervical lesions under the traditional imaging examination.In recent years,the emerging nuclear magnetic resonance imaging(MRI)radiomics can provide a new way for in-depth research on cervical instability. OBJECTIVE:To investigate the application value of MRI radiomics in the study of cervical instability. METHODS:Through recruitment advertisements and the Second Department of Spine of Wangjing Hospital,China Academy of Chinese Medical Sciences,young cervical vertebra unstable subjects and non-unstable subjects aged 18-45 years were included in the cervical vertebra nuclear magnetic image collection.Five specific regions of interest,including the intervertebral disc region,the facet region,the prevertebral muscle region,the deep region of the posterior cervical muscle group,and the superficial region of the posterior cervical muscle group,were manually segmented to extract and screen the image features.Finally,the cervical instability diagnosis classification model was constructed,and the effectiveness of the model was evaluated using the area under the curve. RESULTS AND CONCLUSION:(1)A total of 56 subjects with cervical instability and 55 subjects with non-instability were included,and 1 688 imaging features were extracted for each region of interest.After screening,300 sets of specific image feature combinations were obtained,with 60 sets of regions of interest for each group.(2)Five regions of interest diagnostic classification models for cervical instability were initially established.Among them,the support vector machine model for the articular process region and the support vector machine model for the deep cervical muscle group had certain accuracy for the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.719 7 and 0.703 3,respectively.(3)The Logistic model in the intervertebral disc region,the LightGBM model in the prevertebral muscle region,and the Logistic model in the superficial posterior cervical muscle region were generally accurate in the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.650 4,0.620 7,and 0.644 2,respectively.(4)This study proved the feasibility of MRI radiomics in the study of cervical instability,further deepened the understanding of the pathogenesis of cervical instability,and also provided an objective basis for the accurate diagnosis of cervical instability.