Objective: To systematically compare the types and contents of volatile organic compounds (VOCs) in purplish-brown and yellow-brown Ziziphi Spinosae Semen, and to provide a scientific basis for their rapid identification and quality evaluation.
Methods: Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was employed to determine the VOCs in two colored samples. GC-IMS spectra and fingerprint profiles were established, and chemometric methods including principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to visualize the differences in volatile components.
Results: A total of 44 VOCs were identified, including 1 aldehyde, 9 esters, 10 ketones, 2 enals, 14 alcohols, 3 acids, 2 furans, 1 disulfide, and 2 hydrocarbons. Alcohols and esters were the main volatile components. The fingerprint profiles showed high consistency within groups but significant differences between groups. Both PCA and PLS-DA effectively distinguished the two sample types. Compounds such as pentanol, methyl butyrate, 2-ethylfuran, 2-hexanol, and 2-methylpropenal were identified as key markers for differentiation.
Conclusion: HS-GC-IMS combined with chemometrics accurately distinguishes the volatile compounds of Ziziphi Spinosae Semen with different colors. This method is rapid, sensitive, and suitable for quality control and rapid authentication of Ziziphi Spinosae Semen.

Objective To investigate the expression of carcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) in esophageal squamous cell carcinoma (ESCC) and analyze its correlation with immune cell infiltration and patient prognosis. Methods Three ESCC datasets (GSE161533, GSE26886, and GSE23400) from the GEO database were analyzed to identify differentially expressed genes. CEACAM6 was identified as a key gene through survival analysis. Its expression, prognostic value, and relationship with immune cell infiltration were further explored using databases, such as TIMER. Tissue samples were collected from 162 patients with ESCC. Immunohistochemistry was performed to detect the expression of CEACAM6, immune cell markers (CD4, CD8, CD20, and CD56), and immune checkpoint molecules (HHLA2 and CD40LG). Correlations between CEACAM6 expression and clinicopathological features, immune cell infiltration, and immune checkpoints were analyzed. Results Bioinformatic analysis and clinical sample validation confirmed that CEACAM6 expression was significantly upregulated in ESCC tissues compared with adjacent nontumor tissues (P<0.05). High CEACAM6 expression was closely associated with advanced clinical stage (AJCC Ⅲ-Ⅳ), high T stage (T3-T4), lymph node metastasis, nonulcerative type, and poor prognosis. Furthermore, CEACAM6 expression levels were positively correlated with the infiltration density of CD8⁺ T cells, CD4⁺ T cells, and CD20⁺ B cells within the tumor microenvironment and with the expression of the immune checkpoint molecules HHLA2 and CD40LG (all P<0.05). Conclusion CEACAM6 serves as an independent poor prognostic factor for ESCC. Its high expression is implicated in the modulation of the tumor immune microenvironment by correlating with specific immune cell infiltration and immune checkpoint molecules, suggesting its potential as a novel prognostic biomarker and immunotherapeutic target for ESCC.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective To compare the performance of 7 Chinese-developed GenAI models (DeepSeek, Wenxin Yiyan, Tongyi, Doubao, Kimi, Hunyuan, and iFLYTEK Spark) in responding to common diseases of the pediatric genitourinary system and to explore their potential applications.Methods A total of 80 questions covering basic disease information, diagnosis, treatment, and prognosis related to “hypospadias, hydronephrosis, and cryptorchidism” were developed as prompts.The models were tested under 3 modes:“quick thinking, ”“deep thinking, ” and “deep thinking + internet access.” The results were evaluated in a blinded review by two pediatric urologists.The responses were graded into 4 levels—A, B, C, and D—based on accuracy, completeness, and relevance.The proportions of responses rated as A and A+B were statistically analyzed and compared across the different models/modes.Results The “deep thinking” mode of DeepSeek demonstrated the best performance, with 88% of responses rated as A and 96% rated as A+B.DeepSeek (deep thinking + internet access), Doubao (quick thinking), Hunyuan (deep thinking), and Doubao (deep thinking + internet access) followed closely, also showing excellent response capabilities.Among the top 5 models/modes, significant differences were observed in the proportion of Alevel responses (P＜0.05), while differences in the proportion of A+B-level responses were not statistically significant (P＞0.05).Conclusion Certain Chinese-developed GenAI models, represented by DeepSeek (deep thinking), demonstrate significant application potential.However, they still cannot consistently provide recommendations rated at the A+B level (recommended grade or higher) with 100% accuracy.In clinical practice, both doctors and patients should view GenAI as an auxiliary tool for education and information acquisition rather than as a final decision-making authority.All information must be reviewed and confirmed by professional physicians.

Objective:To apply data mining and bibliometric methods to collect and analyze literatures related to the uPMR 790 integrated positron emission tomography/magnetic resonance imaging(PET/MRI)of the United Imaging Healthcare(UIH)and assess its output effects in clinical research and application,continued research and development,performance improvement,technology assessment,healthcare technology management,and other aspects.Methods:To conduct literature searches on data platforms such as China National Knowledge Infrastructure(CNKI),WanFang Data Knowledge Service Platform(WANFANG DATA),Wanfang Medical Network(WANFANG MED ONLINE),Chinese Medical Association Journal Database(Yiigle),NIH/PubMed,etc.Based on literature review,to implement bibliometric analysis and evaluate from several technological output dimensions.Results:134 sample literatures were obtained.Among them,there are 121 journal articles,10 dissertations(1 doctoral dissertation and 9 master's theses),3 case reports from the Chinese Medical Case Repository,59 of foreign language journals,and 101 articles sourced from uPMR 790 users as the first author affiliation.Engineering and technical personnel from UIH participated in 58 journal articles;89 clinical research articles,accounting for 66.42%of the sample literatures,15 engineering research and artificial intelligence(AI)research articles,accounting for 11.19%,15 technology assessment articles,accounting for 11.19%,4 healthcare technology management articles,1 experimental research article,and 10 reviews.In addition,33 related patent technologies were retrieved from UIH and its cooperative institutions,as well as UIH PET/MRI equipment users,including 20 invention patents,13 utility model patents.Conclusion:The research results show that the innovative medical equipment,the uPMR 790 PET/MRI,has definite technological outputs in clinical research and application,providing important and widely data of evidence-based medicine for clinical application promotion.It also map out the effective support of this innovative medical equipment for multidisciplinary clinical research such as medical imaging,neurology,cardiovascular and cerebrovascular diseases,geriatrics,pediatrics,etc.Driven by the model of medical-engineering integration and synergy mechanism,display multidimensional output effects such as continuous research and development,quality improvement,technology assessment,configuration management,and healthcare technology management.UIH actively participates in researchs and follows up on innovative practices in medical-engineering integration,demonstrating a positive attitude as a leading medical equipment enterprise.Real world research will provide evidence support for the application demonstration and promotion for equipment manufactured by Chinese medical equipment enterprises.

As the simplest label-free single-molecule analytical technique in solution,nanopore technology has been widely used in rapid sequencing of protein and nucleic acid,and single-molecule sensing.However,the main challenge is to get this technology out of the lab and achieve automation,miniaturization as well as rapid analysis at high throughput.In this work,a new microfluidic tubing protein nanopore analysis system was designed and constructed by combining microfluidic and nanopore nanofluidic analysis techniques.An arcuate lipid bilayer was formed in the microfluidic device through lipid monolayer at the oil/water interface by developed aperture processing technology at 10 μm level.The arcuate lipid bilayer with the life span of more than 98 h had high biomimetic fluidity and biological activity by which protein channel could be produced and sealed at 18 GΩ level without leakage.When applied+40 mV potential,relative standard deviation of single proteinα-hemolysin mutant(α-HL(M113F/K147N))channel current was less than 0.16 pA(n=3)in 10 mmol/L Tris-HCl(pH 7.4)buffer containing 1 mol/L NaCl.Single-molecule detection for aptamer and its host-guest interactions with biotin in protein channel demonstrated that this microfluidic tube protein nanopore sensor could well work with high sensitivity without the need of anti-vibration table and shielding cage.

Proteinuria is a common manifestation of primary nephrotic syndrome in children and attributed to podocyte injury. Endocytosis is a biological process for maintaining podocyte function through the internalization and recycling of extracellular material and plasma membrane components. Recently，it has been found that podocyte endocytosis is regulated by podocyte membrane proteins as well as actin cytoskeleton. Endocytosis defects affect the signaling pathways of some podocytes. Protein expression in the slit diaphragm of podocytes is regulated by the actin-dependent endocytic pathway. Studying podocyte endocytosis helps to understand the pathogenesis of proteinuria in chronic kidney disease and provide potential therapeutic targets for glomerular disease.

Objective:To investigate immunotherapy effects and mechanism of BCG and recombinant BCG(rBCG)with c-di-AMP as adjuvant on melanoma in mice model.Methods:Melanoma mice model was established by B16F10 cell subcutaneous injec-tion in groin,and treated with 1×106 CFU of BCG and rBCG by adjacent injection of subcutaneous tumor for 3 times,respectively.Survival of melanotic mice,tumor growth and metastasis were observed.Tumor tissues of mice were isolated to prepare cell suspen-sion,and proportion of immune cells were detected by flow cytometry.Transcriptional levels of immune-related genes in tumor tissues were detected by qRT-PCR.Results:Both BCG and rBCG immunotherapy could significantly inhibit growth in melanoma mice and prolong survival time of mice.rBCG showed better inhibition on metastasis than BCG.Both strains significantly reduced proportion of M2-type macrophages and myeloid-derived suppressor cell associated with tumor growth and metastasis.Both two strains promoted infiltration of lymphocytes in tumor tissues,and rBCG significantly increased proportion of B cells in tumor.BCG immunotherapy upregulated transcription levels of metastasis-related cytokines,while rBCG therapy had no effects on transcriptions of these genes.Conclusion:Both BCG and rBCG have immunotherapeutic effects on melanotic mice,and rBCG with c-di-AMP as adjuvant shows better inhibition on tumor metastasis than BCG,which mechanism was related to regulation of immune response in tumor tissues.

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

The high pathogenicity and mortality of respiratory viral infections pose a significant clinical burden.Due to the high de-gree of variability of viral proteins,some current targeted drugs are highly susceptible to drug resistance,and there is an urgent need for the development of effective therapeutic strategies.Glycoconjugates are widely distributed in hosts and viruses,and participate in host-virus interactions,viral replication,innate and adaptive immunity,etc.Aberrant glycosylation is involved in the pathogenesis of a vari-ety of diseases,and anti-respiratory viral strategies targeting glycosylation have the advantages of high specificity,low drug resistance,and broad-spectrum.In recent years,traditional Chinese medicines(TCMs)have shown unique potential in intervening in glycosylation-related antiviral fields due to their multi-target regulatory properties.The aim of this paper is to focus on the biological functions of glycosylation modifications,the research progress of virus infection and potential TCM monomers targeting glycosylation,which not only reveals the scientific connotation of TCM regulation of glycosylation,but also provides a natural molecular library for the development of novel antiviral strategies based on glycosylation intervention.In the future,it is necessary to further combine the tech-niques of glycomics and structural biology to elucidate the precise mechanism of spatial and temporal dynamics of TCM monomers in regulating glycosylation,and to promote the modernization of TCM.