BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

ObjectiveTo investigate the molecular mechanisms by which Wenyang Jiedu granules （WYJD） alleviate influenza A virus （IAV）-induced pneumonia based on single-cell transcriptome sequencing. MethodsThirty female BALB/c mice were randomly divided into a blank control group （Control）， IAV group， and WYJD low-， medium-， and high-dose groups （WYJD-L， WYJD-M， WYJD-H； 2.925， 5.85， 11.7 g·kg^-1， n=6）. Except for the Control group， all other groups were intranasally inoculated with IAV subtype H1N1 （A/PR/8/34） to establish an infection model. Two hours after modeling， drug administration was initiated and continued for 5 consecutive days， with daily monitoring of body weight and general condition. On day 6， mice were sacrificed and samples were collected. Lung index was calculated， and histopathological examination of lung tissue was performed. Lung tissues from the Control， IAV， and WYJD-H groups were subjected to single-cell transcriptome sequencing （n=3）， focusing on type I alveolar epithelial cells （AT1） to analyze changes in gene expression and signaling pathways. Western blot was used to detect the expression changes of relevant proteins to validate the single-cell sequencing results. ResultsCompared with the Control group， the IAV group exhibited significantly decreased body weight （P<0.05） and significantly increased lung index （P<0.05）. Compared with the IAV group， all WYJD-treated groups exhibited significantly increased body weight （P<0.01） and significantly decreased lung index （P<0.01）. Single-cell sequencing analysis revealed that WYJD inhibited overactivation of interferon and inflammatory signaling pathways in AT1 cells after IAV infection， including interferon-γ response， interferon-α response， tumor necrosis factor-α/nuclear factor-κB （TNF-α/NF-κB）， and interleukin-6/Janus kinase/signal transducer and activator of transcription 3 （IL-6/JAK/STAT3） pathways. Compared with the Control group， the number of AT1 cells in the IAV group showed a decreasing trend. Compared with the IAV group， the WYJD-H group showed an increasing trend， although neither difference was statistically significant. Further analysis of AT1 cell subpopulation gene expression showed that， compared with the Control group， the IAV group exhibited increased expression of pro-apoptotic genes FAS cell surface death receptor （FAS） and cyclin-dependent kinase inhibitor 1A （CDKN1A）， a significant increase in tumor protein p53 （Tp53） expression （P<0.05）， and significant decreases in expression of the AT1 marker gene advanced glycosylation end-product-specific receptor （AGER） and membrane structural gene caveolin1 （CAV1） （P<0.05， P<0.01）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of FAS， CDKN1A， and Tp53 （P<0.05， P<0.01）， and significantly increased expression of AGER and CAV1 （P<0.05， P<0.01）. Regarding interferon response-related genes， compared with the Control group， the IAV group showed increased expression of interferon-stimulated gene 15 （ISG15）， interferon-induced protein with tetratricopeptide repeats 3 （IFIT3）， signal transducer and activator of transcription 2 （STAT2）， bone marrow stromal cell antigen 2 （BST2）， and C-X-C motif chemokine ligand 10 （CXCL10）， with a significant increase in 2′，5′-oligoadenylate synthetase-like protein 1 （OASL1） （P<0.05）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of all the above genes， with highly significant differences for ISG15， IFIT3， STAT2， BST2， and OASL1 （P<0.01）， and a significant difference for CXCL10 （P<0.05）. Among inflammation-related genes， compared with the Control group， the IAV group showed significantly increased expression of intercellular adhesion molecule 1 （ICAM1）， tumor necrosis factor alpha-induced protein 3 （TNFAIP3）， keratin 8 （KRT8）， tumor necrosis factor receptor superfamily member 1A （TNFRSF1A）， and TNFRSF1B （P<0.01）， and increased expression of NFKBIA， a negative regulator of NF-κB （P<0.05）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of KRT8 and TNFRSF1B （P<0.05）， while ICAM1， NFKBIA， TNFAIP3， and TNFRSF1A showed decreasing trends without statistical significance. Western blot validation showed that， compared with the Control group， protein expression levels of ISG15， FAS， p53， and phosphorylated p65 （p-p65） in lung tissue of the IAV group were significantly increased （P<0.05， P<0.01）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of these proteins （P<0.05， P<0.01）. ConclusionWYJD may alleviate viral pneumonia by targeting gene expression in AT1 cells， inhibiting overactivated interferon and inflammatory signaling pathways after IAV infection， and downregulating pro-apoptotic signaling， thereby reducing alveolar epithelial injury.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Objective:To clarify the current status of mechanical ventilation management in critically ill patients and identify prognostic risk factors in Xinjiang Uygur Autonomous Region, thereby providing evidence for targeted training programs and quality improvement initiatives.Methods:A cohort study was conducted across multiple ICUs in Xinjiang Uygur Autonomous Region from January 31 to February 1, 2024. Patients receiving mechanical ventilation during the study period were enrolled, with clinical outcomes followed up until February 28, 2024. Statistical analyses included demographic characteristics, therapeutic interventions, laboratory parameters, and medication regimens.Results:A total of 77 ICUs and 727 patients were screened in the study, and 253 (34.80%) patients who received mechanical ventilation were ultimately included. Among these patients, 177 patients (69.96%) were treated in tertiary hospitals, and 76 patients (30.04%) in secondary hospitals. Significant differences were observed between tertiary and secondary hospitals regarding ventilator mode selection and mechanical ventilation parameter settings (all P<0.05). No significant differences were found in the 28-day mortality rate between tertiary hospitals and secondary hospitals (33.9% vs. 43.4%, P=0.194). Compared with patients in the survival group, death group patients were older and had more severe disease severity. Multivariate Cox regression analysis demonstrated that body temperature ( HR=1.573, 95% CI: 1.173-2.110, P=0.003), white blood cell count ( HR=1.048, 95% CI: 1.012-1.084, P=0.008), pH ( HR=0.019, 95% CI: 0.001-0.349, P=0.007), age > 65 years ( HR=1.817, 95% CI: 1.086-3.041, P=0.023), and fraction of inspired oxygen ≥ 60% ( HR=2.072, 95% CI: 1.143-3.757, P=0.016) were independent influencing factors for 28-day mortality in mechanically ventilated patients. Conclusions:Mechanically ventilated patients are a major component of the ICU population in Xinjiang Uygur Autonomous Region, with the characteristics of high risk of death. The clinical practice of mechanical ventilation in this region is heterogeneous. In the future, it is urgent to strengthen the improvement of medical quality and related training to improve the success rate of patients with mechanical ventilation.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Objective:To construct a clinical practice training system for master′s degree students specializing in oral nursing based on the competency iceberg model for job performance, and to provide a valuable reference for the clinical training of master′s students in oral nursing.Methods:The research team initially formulated the components of the clinical practice training system through an extensive literature review and semi-structured interviews. From October 17, 2023, to November 13, 2023, the Delphi expert consultation methodology was utilized to facilitate two rounds of inquiries involving 20 specialists in the domain of oral care.Results:The positive coefficients of the two rounds of expert inquiries were 95.24% (20/21) and 100.00% (21/21). The authority coefficients were 0.925 and 0.929, while the variation coefficients ranged from 0.00 to 0.22 and from 0.05 to 0.11. Additionally, Kendall′s harmony coefficients were 0.229 and 0.319 (both P<0.01). The finalized training system included training objectives, training content, training requirements and examinations, totaling 3 first-level items, 18 second-level items and 67 third-level items. Conclusions:The training system of clinical practice for oral nursing graduate students constructed in this study is informative and reliable, and can provide reference for clinical practice of professional postgraduates in oral nursing.

OBJECTIVE To deeply explore the in vivo pharmacodynamic substance basis of Zhigancao Decoction,a classic tradi-tional Chinese medicine formula,and provide scientific evidence for its rational application and development in modern clinical practice.METHODS Wistar rats were treated with 12.15 g·kg-1 Zhigancao Decoction by gavage.Rat plasma samples were collect-ed at 10 time points(5,15,30,60,120,240,360,480,600 and 720 min after administration)and rat heart(atrial and ventricu-lar)tissue samples were collected at 12 h after administration.Components in the plasma and heart samples were qualitatively identi-fied by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF/MS),and the distri-bution characteristics of Zhigancao Decoction in vivo were analyzed.At the same time,the time-concentration curve of the prototype components and metabolites in Zhigancao Decoction was drawn to observe the changes of blood drug concentration.RESULTS A total of 11 prototype components(Ajugol,Nicotiflorin,Isoschaftoside,4-Hydroxycinnamic acid,Rehmapicrogenin,4-Hydroxybenzoic acid,4′,7-Dihydroxyflavone,Calycosin,3′,4′,7-Trihydroxyflavone,Pinellic acid,Truxillic acid)and 7 metabolites were identified from the plasma samples of Zhigancao Decoction,mainly including flavonoids(flavonoids glycosides),organic acids,and iridoid glyco-sides,etc.Additionally,6 prototype components(Ajugol,Isoschaftoside,Rehmapicrogenin,4′,7-Dihydroxyflavone,Liquiritigenin,3′,4′,7-Trihydroxyflavone)and 3 metabolites were identified from the cardiac samples(the atrium and the ventricle showed the same results).The metabolic pathways mainly involved Phase Ⅰ metabolism and glucuronidation.CONCLUSION The prototype compo-nents and metabolites in plasma and heart tissue of Zhigancao Decoction is preliminarily determined,providing a reference for analyzing the active components of Zhigancao Decoction in heart tissue.

Objective:This study addresses the challenges of data governance for non-computerized instruments in the context of pharmaceutical industry 4.0,proposing an intelligent transformation solution to overcome traditional data management bottlenecks.Methods and Results:By constructing a three-tier technical framework"net-worked architecture,highly compatible connectivity,and tamper-proof conversion":USB middleware is deployed to enable real-time data transmission from multiple instruments.Algorithms convert editable formats into non-editable files compliant with FDA 21 CFR Part 11 in real time;an automated backup system ensures data redundancy.Conclusion:Key innovations include a non-invasive transformation mode and an networked layout,offering a cost-effective pathway for upgrading traditional instruments to meet GxP standards.This research bridges the technical gap in data integrity management for non-computerized systems,ensuring regulatory compliance and operational efficiency.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical