As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

OBJECTIVE: To investigate the risk factors associated with the development of knee osteoarthritis (OA) following arthroscopic surgery for degenerative lesions of the posterior horn of the medial meniscus. METHODS: Between January 2012 and January 2014, a retrospective analysis was conducted on 506 patients who underwent arthroscopic surgery for degenerative disease of the posterior horn of the medial meniscus. The cohort included 230 males and 276 females, aged from 32 to 58 years old with an average of (46.77±9.02) years old. According to the results of postoperative follow-up, patients were categorized into a knee osteoarthritis(OA) group and a non-OA group. The following parameters were recorded for each subject:gender, medial proximal tibial angle (MPTA), hip-knee-ankle angle (HKA), presence of bone edema on MRI, physical characteristics (including McMurray test results, locking symptoms, and medial knee tenderness points), meniscus protrusion, type of meniscus injury, and free body condition as observed via arthroscopy. Multivariate unconditional Logistic regression analysis was employed to investigate the associated factors influencing the 10-year postoperative incidence of knee osteoarthritis following surgery for degenerative injury of the posterior horn of the medial meniscus. Independent risk factors potentially influencing the development of postoperative OA were identified, and a nomogram-based predictive model for postoperative OA was established. The discriminatory ability and calibration accuracy of the model were assessed using the C-index and Hosmer-Lemeshow goodness-of-fit test, respectively. Furthermore, internal validation was performed using the bootstrap resampling method. RESULTS: Within a 10-year period following arthroscopic surgery, there were 123 patients in the OA group and 383 patients in the non-OA group. Significant differences were observed between two groups with respect to gender (χ²=5.156, P=0.023), MPTA<86.6° (χ²=21.671, P<0.001), varus lower limb alignment( χ²= 80.086, P<0.001). Additionally, meniscus extrusion (χ²=6.371, P=0.012), meniscus transverse tear (χ²=14.573, P<0.001), and bone edema detected on MRI(χ²=9.881, P=0.002) were identified as factors associated with the development of postoperative knee OA. The multifactorial Logistic regression analysis revealed that the lower limb line of force inversion OR=4.324, 95%CI (1.391, 13.443), P=0.011;MPTA <86.6°, OR=2.519, 95%CI (1.150, 5.519), P=0.021;transverse meniscus tear, OR=4.546, 95%CI (1.827, 11.310), P=0.001;meniscus ectropion, OR=5.401, 95%CI (1.992, 14.646), P=0.001;and bone edema manifestation on MRI OR=2.692, 95%CI (1.169, 6.200), P=0.020. They were independent risk factors associated with the development of postoperative OA. The area under the ROC curve predicted by the model was 0.927, 95%CI (0.903, 0.950). The Hosmer-Lemeshow goodness-of-fit test, used to evaluate the accuracy of the model, yielded P=0.689. Additionally, the internally sampled calibration curve demonstrated good consistency with the actual postoperative OA outcomes. CONCLUSION Varus alignment of the lower extremity, MPTA <86.6°, transverse meniscus tear, lateral meniscus injury, and bone marrow edema observed on MRI were independent risk factors for the development of knee osteoarthritis following arthroscopic surgery. Additionally, the prognostic model demonstrated excellent predictive performance.
Humans ; Male ; Female ; Middle Aged ; Arthroscopy/adverse effects* ; Adult ; Retrospective Studies ; Tibial Meniscus Injuries/surgery* ; Osteoarthritis, Knee/epidemiology* ; Risk Factors ; Menisci, Tibial/surgery* ; Incidence ; Postoperative Complications/epidemiology*

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.

Objective To investigate the diagnostic value of endoscopic sign of light blue crest(LBC)capsuling papillary lesion(LCPL)for high-risk intestinal metaplasia(IM).Methods A total of 314 patients(352 biopsy specimens)who underwent endoscopic examination and biopsy in Department of Gastroenterology of Army Medical Center of PLA from January 2021 to June 2023 were recruited,and HE and HID-AB staining(the golden standard of high-risk IM)were apllied to detect the histological types and IM types.The samples were subsequently divided into chronic inflammation group,low-risk IM group,high-risk IM group,well-differentiated intestinal-type gastric cancer group,and poorly-differentiated intestinal-type gastric cancer group.The positive rate of LCPL in each group and its diagnostic efficacy were analyzed based on endoscopic images of the biopsy sites.Logistic regression analysis was used to investigate the relationship between LCPL sign and high-risk IM,as well as the clinical and pathological features associated with LCPL sign.Receiver operating characteristic(ROC)curve was plotted to evaluate the diagnostic efficacy of LCPL for high-risk IM,using indicators such as sensitivity,specificity,Youden index and area under the curve(AUC).Results The positive rate of the LCPL sign in high-risk IM group was 75.70%,significantly higher than that of the other groups(all P<0.001).Logistic regression analysis showed that LCPL sign was significantly correlated with high-risk IM(OR=30.286,95%CI:13.528～67.804,P<0.001).When the sign was employed in diagnosing high-risk IM,the sensitivity was 69.84%,the specificity was 93.75%,the Youden's index was 0.636,and the AUC value was 0.818(95%CI:0.773～0.857).Besides sensitivity,all above parameters of LCPL sign showed significantly better diagnostic efficacy than those of traditional LBC sign,which is used as a sign for diagnosing IM(P<0.001).Moreover,recognition of LCPL sign was not easily affected by age(OR=1.130,95%CI:0.709～1.800,P=0.607),lesion site(Angular incisure:OR=2.360,95%CI:0.732～7.613,P=0.151;Autrum:OR=2.257,95%CI:0.756～6.744,P=0.145),and presence of peptic ulcers(OR=1.085,95%CI:0.208～5.652,P=0.923).Significantly,94.12%of positive and 66.94%of negative LCPL signs could be rapidly recognized within 3 s(OR=4.536,95%CI:1.372～14.997,P=0.013).Conclusion LCPL sign shows high efficacy and potential clinical application value for high-risk IM in gastric mucosa of endoscopic diagnosis.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective To analyze the literature related to diphenidol tablets poisoning,the characteristics of poisoning were summarized to provide reference for controlling the suicidal abuse risk of diphenidol tablets.Methods The global literature on suicide,overdose,poisoning,shock,and death related to difenidol published from January 1,2011 to December 31,2022 was analyzed,including gender,age,dosage,cardiac(blood)concentration,poisoning symptoms,etc.Results Young women were the majority of people with poisoning.The highest proportion of the age group is 11 to 30 years group.Patients who take medication doses greater than 3 000 mg may have a higher risk of death;patients with a heart(blood)concentration greater than 6 μg·mL-1 may have a higher risk of death.Malignant arrhythmia,consciousness disorders,coma,and apnea are common serious adverse events during poisoning.Conclusion It is recommended that the drug regulatory authorities should require the Listing permit holder of difenidol tablets to add the risk and symptoms of poisoning into the instructions.It is suggested that restricting individual consumers from purchasing large amounts of difenidol tablets in the short term.It is recommended that canceling the high-dose sales packaging of difenidol tablets.It is suggested that converting difenidol tablets into prescription drugs,even consider canceling the registration certificate of difenidol tablets.

Objective This study aimed to investigate the effects of high-altitude hypoxia on the expression of ATP-binding cassette(ABC)transport proteins in the blood-brain barrier(BBB)and explore the mechanisms influencing their expression.Methods Wistar rats were divided into 1500 m group(Lanzhou field),4010 m group(simulated 4010 m,low-pressure oxygen chamber,hypoxia for 3 days),6000 m group(simulated 6000 m,low-pressure oxygen chamber,hypoxia for 3 days),phenytoin sodium+1500 m group(given 50 mg·kg-1 phenytoin sodium on the basis of the 1500 m group),phenytoin sodium+4010 m group(given 50 mg·kg-1 phenytoin sodium on the basis of the 4010 m group),phenytoin sodium+6000 m group(given 50 mg·kg-1 phenytoin sodium on the basis of the 6000 m group),and hypoxia 1 d group,hypoxia 2 d group,hypoxia 3 d group,hypoxia 4 d group(simulated altitude of 4010 m,low-oxygen chamber,hypoxia for 1,2,3,4 days).Western blot was used to detect the expression of BBB tissue proteins;and liquid chromatography-tandem mass spectrometry was used to measure the concentration of phenytoin sodium in cerebrospinal fluid.Results The relative expression levels of P-glycoprotein(P-gp)in the 1500 m,4010 m,6000 m groups were 1.00±0.04,1.84±0.02,2.10±0.05,respectively;the relative expression levels of multidrug resistance-associated protein-4(MRP4)were 1.00±0.05,2.77±0.08,4.42±0.03,respectively;the concentrations of phenytoin sodium in cerebrospinal fluid were(864.78±348.32),(1 000.22±273.90),and(1 214.17±314.09)ng·mL-1,respectively.The differences in the above indicators between the 1500 m,4010 m,and 6000 m groups were statistically significant(all P＜0.05).The relative expression levels of P-gp in the hypoxia 1 d,2 d,3 d,4 d groups were 1.00±0.03,1.85±0.04,3.10±0.02,2.17±0.05,respectively;the relative expression levels of MRP4 were 1.00±0.05,1.79±0.10,1.60±0.08,1.31±0.06,respectively;the differences in the above indicators between the hypoxia 1 d,2 d,3 d,4 d groups were statistically significant(all P＜0.05).Conclusion Different high-altitude hypoxic environments have different effects on the expression of ABC transport proteins in the BBB,influencing the drug concentrations of their substrate drugs in the body.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

This paper applied gas chromatography-mass spectrometry (GC-MS), network pharmacology and nuclear magnetic resonance hydrogen spectroscopy (¹H NMR) metabolomics techniques to study the material basis and mechanism of action of Ning Shen Essential Oil in anti-insomnia. The main volatile components of Ning Shen Essential Oil were analyzed by gas chromatography-mass spectrometry (GC-MS), and the insomnia-related targets were predicted using the Traditional Chinese Medicine Systematic Pharmacology Database and Analytical Platform (TCMSP) and the databases of GeneCards, OMIM and Drugbank. The insomnia model of rats was replicated by intraperitoneal injection of 4-chloro-DL-phenylalanine (PCPA). Animal experiments were approved by the Animal Ethics Committee of Shandong University of Traditional Chinese Medicine (Ethics No.: SDUTCM20221025010). The modulating effect of Compound Ning Shen Essential Oil on anxiety behavior of rats was evaluated by behavioral related indexes. The serum levels of corticotropin-releasing hormone (CRH), adrenotropic corticotropic hormone (ACTH) and melatonin (MT) were measured by enzyme-linked immunoassay (ELISA). Rat serum and hippocampus were taken for nuclear magnetic resonance (¹H NMR) metabolomics to detect the changes of endogenous metabolites in rat serum hippocampus, to designate the differential metabolites and to construct metabolic pathways. The results showed that the exercise distance in the open field experiment and the number of times and time to enter the open arm in the elevated cross maze experiment of the rats in the model group were significantly reduced (P < 0.05, P < 0.01). The behavioral indexes of rats improved to different degrees after the administration of Ning Shen Essential Oil. The serum CRH and ACTH levels of rats in the model group increased significantly (P < 0.05, P < 0.01), and the MT level decreased significantly (P < 0.01); After the intervention, serum CRH and ACTH levels were reduced to different degrees, and MT levels could be regressed. ¹H NMR metabolomics screened 10 potential biomarkers related to insomnia, which involved in 6 potential metabolic pathways. A total of 35 components of Ning Shen Essential Oil were detected by GC-MS, the main component targets of Ning Shen Essential Oil and insomnia disease targets were intersected, a total of 172 intersecting genes were screened, and 26 core targets were identified. The study demonstrated that Ning Shen Essential Oil had protective effects against PCPA-induced insomnia in rats, which was probably correlated with regulation of the hypothalamic-pituitary-adrenal axis (HPA) related hormones and metabolism of amino acids, lipids and choline.