BackgroundInvasive vagus nerve stimulation therapy has been approved for the adjunctive treatment of treatment-resistant depression， which may contribute to the anti-inflammatory properties of vagus nerve stimulation （VNS）， whereas the efficacy of non-invasive transcutaneous cervical vagus nerve stimulation （tcVNS） in treating major depressive disorder （MDD） and its impact on plasma inflammatory factors remain unclear. ObjectiveTo observe the effect of escitaloprom combined with tcVNS on the status of depression， anxiety and sleep quality as well as the plasma levels of interleukin-6 （IL-6） and interleukin-10 （IL-10） in MDD patients， in order to provide references for the recovery and treatment of MDD patients. MethodsFrom August 21， 2019 to April 17， 2024， 45 patients who met the diagnostic criteria for MDD in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from the psychosomatic outpatient clinic of the First Affiliated Hospital of Air Force Military Medical University. Subjects were divided into study group （n=23） and control group （n=22） using random number table method. All patients were treated with escitalopram. On this basis， study group added a 30-minute tcVNS therapy once a day for 4 weeks. While control group was given corresponding sham stimulation， and the duration of each stimulation lasted 30 seconds. Before and after 4 weeks of treatment， Hamilton Depression Scale-17 item （HAMD-17） was used to assess depressive symptoms， and HAMD-17 anxiety/somatization subfactor and insomnia subfactor were used to assess patients' anxiety/somatization symptoms and sleep quality. Levels of plasma IL-6 and IL-10 were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe generalized estimating equation model yielded a significant time effect for HAMD-17 total score， anxiety/somatization subfactor score and insomnia subfactor score in both groups （Wald χ²=315.226， 495.481， 82.420， P<0.01）. After 4 weeks of treatment， HAMD-17 total score and anxiety/somatization subfactor score of study group were lower than those of control group， with statistically significant differences （Wald χ²=4.967， 32.543， P<0.05 or 0.01）， while no statistically significant difference was found in the insomnia subfactor score between two groups （Wald χ²=0.819， P=0.366）. Significant time effects were reported on plasma IL-6 and IL-10 levels in both groups （Wald χ²=21.792， 5.242， P<0.05 or 0.01）. Compared with baseline data， a reduction in plasma IL-6 levels was detected in both groups （Wald χ²=22.015， 6.803， P<0.01）， and an increase in plasma IL-10 levels was reported in study group （Wald χ²=5.118， P=0.024） after 4 weeks of treatment. ConclusionEscitalopram combined with tcVNS therapy is effective in improving depressive symptoms， anxiety/somatization symptoms and sleep quality in patients with MDD. Additionally， it helps reduce plasma IL-6 levels and increase IL-10 levels. ［Funded by Shaanxi Provincial Key Research and Development Program-General Project （number， 2023-YBSF-185）， www.clinicaltrials.gov number， NCT04037111］

Genetic transformation is a fundamental tool in molecular biology research of medicinal plants. Tailoring transgenic technologies to each distinct medicinal plant would necessitate a substantial investment of time and effort. Here, we present a simple hairy root transformation method that does not require sterile conditions, utilizing Agrobacterium rhizogenes strain K599 and the visible RUBY reporter system. Transgenic hairy roots were obtained for six tested medicinal plant species, roots or rhizomes of which have recognized medicinal value, spanning four botanical families and six genera (Platycodon grandiflorus, Atractylodes macrocephala, Scutellaria baicalensis, Codonopsis pilosula, Astragalus membranaceus, and Glycyrrhiza uralensis). Furthermore, two previously identified Glycyrrhiza uralensis UGTs that convert liquiritigenin into liquiritin in heterologous systems were studied in planta using the method. Our results indicate that overexpression of GuUGT1 but not GuUGT10 and Cas9-mediated knockout of GuUGT1 profoundly influenced the accumulation of liquiritin and isoliquiritin in licorice roots. Therefore, the method described here represents a simple, rapid and widely applicable hairy root transformation method that enables fast gene functional study in medicinal plants.

OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

Objective To investigate the current status,evolving hotspots,and emerging trends in the field of human re-source allocation research in public hospitals,both domestically and internationally,to provide a reference for future research di-rections in China.Methods CiteSpace was used to conduct a visual analysis of the research literature on human resource alloca-tion in public hospitals based on China National Knowledge Infrastructure(CNKI)and the Web of Science(WOS).The analysis encompassed co-authorship,institutional collaboration,keyword co-occurrence and clustering,and burst detection.Results A total of 1 417 Chinese articles and 981 international articles were included.Domestic research in this field focused more on healthcare reform and management,resource allocation,hierarchical diagnosis,and treatment,and informatization and efficiency improvement.On the contrary,international research primarily centered on the employee satisfaction,healthcare system quality,work environment and medical staff.Future trends in domestic research included cost reduction,efficiency enhancement,and a greater emphasis on public welfare in public hospitals,while international research was beginning to explore the influence of polit-ical concepts in this field.Conclusion Compared to international research,domestic research needs to further improve its theo-retical and localized understanding,broaden its research scope,explore the interdisciplinary collaboration opportunities,and delve into research directions such as the application of artificial intelligence and automation technology in healthcare services,management of a diverse workforce,and innovative management techniques and applications.

Objective:To investigate the effects of CP-31398 on proliferation and metastasis of gallbladder carcinoma cell lines expressing mutant P53GBC-SD and wild-type p53NOZ.Meth-ods:The effects of CP-31398 on the proliferation of wild-type and mutant p53 gallbladder carci-noma cells were detected by CCK8 cell proliferation assay and clonal formation assay.The effect of CP-31398 on cell cycle and apoptosis of gallbladder carcinoma was detected by flow cytometry.The effects of CP-31398 on the migration and invasion of gallbladder carcinoma cells were detected by scratch,cytoskeleton and Transwell assay.The effect of CP-31398 on the expression of p53 protein was detected by Western blot and the related mechanism was discussed.Results:In mutant P53GBC-SD cells,the proliferation of CCK8 cells showed that the proliferation rate of gallbladder cancer cells in CP-31398 treatment group was slower than that in control group(P＜0.01).The cycle experiment showed that compared with the control group,the proportion of cells in S phase in-creased in CP-31398 treatment group,and the proportion of cells in G0 and G1 phase decreased,so the cells were blocked in S phase(P＜0.001).Apoptosis experiment showed that the apoptosis rate of control group was lower than CP-31398 treatment group(P＜0.05).Transwell experiment showed that the number of cells passing through the cell compartment in the control group was higher than that in the CP-31398 treatment group.Western blot analysis showed that the expression of p53 pro-tein in CP-31398 treatment group was increased(P＜0.05).In wild-type p53NOZ cells,the prolifera-tion of CCK8 cells showed that the proliferation rate of gallbladder cancer cells in CP-31398 treat-ment group was slower than that in control group.The number of cell clones in the control group was higher than that in the CP-31398 treatment group(P＜0.001).The cycle test showed that the propor-tion of cells in G2 and M phases increased significantly,while the proportion of cells in G0 and G1 phases decreased,and the cells were blocked in G2 and M phases(P＜0.001).Apoptosis experiment showed that the apoptosis rate of control group was(14.04±3.08)％,and that of CP-31398 treat-ment group was(34.55±3.30)％(P＜0.01).Transwell experiment showed that the number of cells passing through the cell compartment in the control group was higher than that in the CP-31398 treatment group.Western blot analysis showed that the expression of p53 protein in CP-31398 treatment group was increased(P＜0.01).Conclusion:CP-31398 can effectively inhibit the prolif-eration and metastasis of gallbladder cancer cells,and is independent of p53 mutation,and CP-31398 has a good effect on NOZ gallbladder cancer cell lines expressing wild-type p53,which can be used as a new drug treatment for gallbladder cancer.

Objective:To study the therapeutic effect of cardiac rehabilitation in patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI)and its effect on inflammatory factors.Methods:A total of 94 AMI patients after PCI admitted in Hospital of China University of Geosciences(Wuhan)between June 2020 and August 2021 were selected and randomly divided into control group(n=47,routine therapy)and study group(n=47,individualized cardiac rehabilitation therapy based on routine therapy).Cardiopulmonary exercise indexes,blood lipid indexes,inflamma-tory factors and cardiac function indexes were compared between two groups before and 3 months after treatment.Results:Compared with control group after treatment,participants in study group had significant higher anaerobic threshold[(15.46±3.07)ml·min-1·kg-1 vs.(19.37±3.27)ml·min 1·kg-1],maximal oxygen uptake[(21.26±4.05)ml·min-1·kg-1 vs.(25.31±4.10)ml·min-1·kg-1],left ventricular ejection fraction(LVEF)[(52.20±5.75)％vs.(57.91±5.17)％],6min walking distance(6MWD)[(430.58±43.87)m vs.(481.52±44.57)m]and levels of high density lipoprotein cholesterol(HDL-C)[(1.30±0.32)mmol/L vs.(1.49±0.35)mmol/L]and interleukin(IL)-10[(5.45±0.55)pg/ml vs.(6.19±0.59)pg/ml](P＜0.01 all),and significant lower levels of triglyceride(TG)[(1.88±0.65)mmol/L vs.(1.54±0.63)mmol/L],total cholesterol(TC)[(3.49±0.54)mmol/L vs.(3.13±0.47)mmol/L],low density lipoprotein cholesterol(LDL-C)[(2.12±0.59)mmol/L vs.(1.57±0.52)mmol/L],tumor necrosis factor-α(TNF-α)[(128.34±14.5)pg/ml vs.(99.28±8.51)pg/ml],leptin(LEP)[(623.49±61.27)pg/ml vs.(483.57±47.61)pg/ml]and N terminal pro B-type natriuretic peptide(NT-proBNP)[(396.59±18.12)pg/ml vs.(302.96±17.56)pg/ml](P＜0.05 or＜0.01).Conclusion:Cardiac rehabilitation therapy can significantly im-prove the blood lipid levels,cardiac function and exercise endurance,and effectively reduce the levels of inflammatory fac-tors in AMI patients after PCI,which is an important component of secondary prevention in these patients.

Gongju(Chrysanthemum morifolium) is one of the five major medicinal Chrysanthemum varieties included in the Chinese Pharmacopoeia. In recent years, its cultivation areas have changed significantly, resulting in mixed quality of the medicinal herbs. In this study, Gongju cultivated in Anhui, Yunnan, Chongqing, and other places were selected as research objects. Hyperspectral data were collected in the visible-near-infrared(VNIR) and short-wave infrared(SWIR) bands using different modes, such as corolla facing up(A) and flower base facing up(B). After pre-processing the hyperspectral data using five methods, including multiplicative scatter correction(MSC), Savitzky-Golay smoothing(SG), first derivative(D1), second derivative(D2), and standard normal variate(SNV), partial least squares discriminant analysis(PLSDA), random forest(RF), and support vector machine(SVM) were used to establish origin identification models of Gongju at the two geographical scales of the province and the city-county in Anhui province. The accuracy of the prediction results was used as an evaluation index to select the optimal models, and the classification performance of the models was evaluated by confusion matrix. The results showed that the flower base facing up(B) collection model combined with second derivative pretreatment and RF method was the best model for both geographical scale identification models. The modeling effect of the full-band(VNIR + SWIR) was slightly better than that of the single band, with the accuracy of the prediction set in the province and city-county regions reaching 99.69% and 99.40%, respectively. The competitive adaptive reweighted sampling algorithm(CARS), successive projections algorithm(SPA), and variable iterative space shrinkage approach(VISSA) were further used to screen the feature wavelength modeling. The number of feature wavelengths screened by CARS was fewer, and the prediction set accuracy of the two geographical scales models after optimization could reach 99.56% and 98.65%, which was basically comparable to the full-band model. However, the removal of redundant variables could greatly reduce the complexity of the model. The hyperspectral technology combined with the chemometrics model established in this study can achieve the origin identification of Gongju at different geographical scales, providing a theoretical basis and technical reference for the construction of a rapid detection system for Gongju origin and the development of exclusive miniaturized instrumentation and equipment systems.
Chrysanthemum/growth & development* ; China ; Support Vector Machine ; Geography ; Discriminant Analysis ; Spectroscopy, Near-Infrared/methods* ; Spectrum Analysis/methods* ; Drugs, Chinese Herbal/analysis* ; Least-Squares Analysis

Aesculus chinensis is an important medicinal and horticultural plant. Its dried mature seeds, known as "Suoluozi", are a well-known traditional Chinese medicine. Aescins are its main active components, possessing multiple pharmacological activities such as anti-inflammatory and anti-exudative effects. They are widely used in the treatment of diseases such as lumbar disc herniation, postoperative edema, and sports injuries, leading to a continuous increase in market demand in recent years. The DNA binding with one finger(Dof) family is a unique transcription factor family found in the plant kingdom. It plays a crucial role in plant growth, development, stress responses, and regulation of secondary metabolism. However, research on the Dof gene family in A. chinensis is relatively scarce. In this study, we identified 36 AcDof genes from the genome of A. chinensis and analyzed their physicochemical properties, chromosomal localization, phylogenetic relationships, gene structures, cis-acting elements, and expression patterns in different tissues. The results showed that AcDof proteins ranged from 81 to 493 amino acids in length, with molecular weights ranging from 9 270.38 to 55 015.68 and isoelectric points ranging from 4.84 to 10.2. The subcellular localization analysis revealed that 34 AcDof proteins were located in the nucleus, while the remaining two AcDof proteins were located in the chloroplasts. Phylogenetic analysis divided AcDofs into nine subgroups, and gene structure analysis indicated that all AcDof genes possessed a C2-C2 type single zinc finger domain. Gene expression analysis using transcriptome data revealed tissue-specific expression patterns among AcDof family members. Specifically, AcDof04, AcDof02, and AcDof03 exhibited specific expression in seeds, suggesting their potential involvement in the regulation of aescin biosynthesis. This study not only enhances our understanding of the Dof gene family in A. chinensis but also provides important genetic resources for further investigation of the functions and regulatory mechanisms of Dof genes in this species.
Plant Proteins/metabolism* ; Phylogeny ; Gene Expression Regulation, Plant ; Transcription Factors/metabolism* ; Gene Expression Profiling ; Multigene Family

To realize the non-destructive and rapid origin discrimination of Poria cocos in batches, this study established the P. cocos origin recognition model based on hyperspectral imaging combined with machine learning. P. cocos samples from Anhui, Fujian, Guangxi, Hubei, Hunan, Henan and Yunnan were used as the research objects. Hyperspectral data were collected in the visible and near infrared band(V-band, 410-990 nm) and shortwave infrared band(S-band, 950-2 500 nm). The original spectral data were divided into S-band, V-band and full-band. With the original data(RD) of different bands, multiplicative scatter correction(MSC), standard normal variation(SNV), S-G smoothing(SGS), first derivative(FD), second derivative(SD) and other pretreatments were carried out. Then the data were classified according to three different types of producing areas: province, county and batch. The origin identification model was established by partial least squares discriminant analysis(PLS-DA) and linear support vector machine(LinearSVC). Finally, confusion matrix was employed to evaluate the optimal model, with F1 score as the evaluation standard. The results revealed that the origin identification model established by FD combined with LinearSVC had the highest prediction accuracy in full-band range classified by province, V-band range by county and full-band range by batch, which were 99.28%, 98.55% and 97.45%, respectively, and the overall F1 scores of these three models were 99.16%, 98.59% and 97.58%, respectively, indicating excellent performance of these models. Therefore, hyperspectral imaging combined with LinearSVC can realize the non-destructive, accurate and rapid identification of P. cocos from different producing areas in batches, which is conducive to the directional research and production of P. cocos.
Hyperspectral Imaging ; Wolfiporia ; China ; Least-Squares Analysis ; Support Vector Machine

Objective:To retrieve and analyze the evidence related to perioperative blood glucose management in patients with coronary heart disease (CHD) complicated by diabetes undergoing percutaneous coronary intervention (PCI) , and provide clinical guidance for glucose management.Methods:Systematic searches were conducted on domestic and international guideline websites, evidence-based databases, primary research databases, and related association websites for evidence concerning perioperative blood glucose management for this patient group. The search included clinical decisions, guidelines, expert consensus, evidence summaries, and systematic reviews, covering the time span from database inception to February 2022. Two evidence-trained researchers independently conducted literature quality assessments and evidence extraction, with disputes resolved by a third party.Results:Eighteen articles were included: one clinical decision, nine guidelines, and eight expert consensuses. The findings were summarized into eight aspects: team formation and training, admission assessment and treatment, blood glucose control targets, preoperative glucose management, intraoperative glucose management, postoperative glucose management, perioperative abnormal glucose management, and discharge management, totaling 35 evidence points.Conclusions:This study consolidates evidence related to perioperative blood glucose management for patients with CHD complicated by diabetes undergoing PCI. However, during the evidence translation and application process, conditions of the application site, medical resources, and patient preferences should be fully considered. After assessing the feasibility and applicability of the evidence, a personalized blood glucose management plan should be developed for the patient, aiming to improve blood glucose levels and prognosis.