To systematically review randomized controlled trials （RCTs） of traditional Chinese medicine （TCM） intervention in ulcerative colitis （UC）， and analyze the characteristics of these studies and their outcome indicators， thereby providing references for the design of future RCTs of TCM intervention in UC and offering evidence supporting the clinical application of TCM in UC. A computerized search was conducted in the China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， SinoMed， PubMed， Cochrane Library， EMbase， and Web of Science databases for RCTs of TCM intervention in UC published from January 2021 to August 2024. The risk of bias was assessed， and outcome indicators were qualitatively analyzed. A total of 555 RCTs were included， with a sample size of 44 853 participants. The largest sample size was 218 cases， and the smallest was 28 cases， with most studies focusing on 60-100 participants. Of the 386 RCTs that explicitly reported TCM syndrome types， the top three were large intestine dampness-heat syndrome （31.05%）， spleen and kidney yang deficiency syndrome （12.47%）， and spleen deficiency with dampness syndrome （9.17%）. The interventions， ranked by frequency of use， included internal Chinese medicine compounds/preparations （64.5%）， Chinese medicine compounds/preparations with retained enema （18.2%）， internal Chinese medicine compounds/preparations + external TCM treatment （5.95%）， and external TCM treatment alone （4.86%）. The treatment duration was mainly 4-8 weeks （64.86%）， with 61 studies （10.99%） reporting follow-up time. A total of 157 outcome indicators were used， with a frequency of 3 460 occurrences， classified into six domains： TCM syndromes and symptoms （346 occurrences， 10%）， symptoms/signs （541 occurrences， 15.64%）， physical and chemical examinations （2 119 occurrences， 61.24%）， quality of life （107 occurrences， 3.09%）， long-term prognosis （61 occurrences， 1.76%）， and safety events （284 occurrences， 8.21%）. The analysis reveals several limitations in the outcome indicators of TCM intervention in UC， including the lack of a basis for sample size calculation， non-standardized TCM syndrome classification， absence of trial design and registration， inadequate blinding and allocation concealment， adherence issues with interventions， imbalanced selection of surrogate and endpoint indicators， inconsistency in the timing of outcome measurements， design issues that require standardization， and ethical and safety concerns. It is recommended that future studies actively construct a set of core indicators for UC that include standardized TCM syndrome classification， clear efficacy evaluation indicators， key endpoint indicators， and reasonable measurement time points. Long-term prognostic impacts， comprehensive assessments of patients' quality of life， and consideration of economic benefits should be emphasized， providing a basis for the clinical practice of TCM in the treatment of UC.

To systematically review randomized controlled trials （RCTs） of traditional Chinese medicine （TCM） intervention in ulcerative colitis （UC）， and analyze the characteristics of these studies and their outcome indicators， thereby providing references for the design of future RCTs of TCM intervention in UC and offering evidence supporting the clinical application of TCM in UC. A computerized search was conducted in the China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， SinoMed， PubMed， Cochrane Library， EMbase， and Web of Science databases for RCTs of TCM intervention in UC published from January 2021 to August 2024. The risk of bias was assessed， and outcome indicators were qualitatively analyzed. A total of 555 RCTs were included， with a sample size of 44 853 participants. The largest sample size was 218 cases， and the smallest was 28 cases， with most studies focusing on 60-100 participants. Of the 386 RCTs that explicitly reported TCM syndrome types， the top three were large intestine dampness-heat syndrome （31.05%）， spleen and kidney yang deficiency syndrome （12.47%）， and spleen deficiency with dampness syndrome （9.17%）. The interventions， ranked by frequency of use， included internal Chinese medicine compounds/preparations （64.5%）， Chinese medicine compounds/preparations with retained enema （18.2%）， internal Chinese medicine compounds/preparations + external TCM treatment （5.95%）， and external TCM treatment alone （4.86%）. The treatment duration was mainly 4-8 weeks （64.86%）， with 61 studies （10.99%） reporting follow-up time. A total of 157 outcome indicators were used， with a frequency of 3 460 occurrences， classified into six domains： TCM syndromes and symptoms （346 occurrences， 10%）， symptoms/signs （541 occurrences， 15.64%）， physical and chemical examinations （2 119 occurrences， 61.24%）， quality of life （107 occurrences， 3.09%）， long-term prognosis （61 occurrences， 1.76%）， and safety events （284 occurrences， 8.21%）. The analysis reveals several limitations in the outcome indicators of TCM intervention in UC， including the lack of a basis for sample size calculation， non-standardized TCM syndrome classification， absence of trial design and registration， inadequate blinding and allocation concealment， adherence issues with interventions， imbalanced selection of surrogate and endpoint indicators， inconsistency in the timing of outcome measurements， design issues that require standardization， and ethical and safety concerns. It is recommended that future studies actively construct a set of core indicators for UC that include standardized TCM syndrome classification， clear efficacy evaluation indicators， key endpoint indicators， and reasonable measurement time points. Long-term prognostic impacts， comprehensive assessments of patients' quality of life， and consideration of economic benefits should be emphasized， providing a basis for the clinical practice of TCM in the treatment of UC.

Objective:To analyze the role of learning engagement and learning burnout in the relationship between supervisors' guidance and the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine.Methods:A total of 4 016 postgraduates in the Professional Master's Program in Clinical Medicine from 61 colleges were surveyed in 2020. Common method bias was assessed using the Harman's single factor test and total score was determined by the entropy weight method. Causality and mediation effect were analyzed by linear regression, and mediation effect was tested by Bootstrapping.Results:The average scores of supervisors' guidance, learning burnout, learning engagement and personal ability were (4.13±0.87), (2.49±1.11), (3.88±0.83), and (3.71±0.78), respectively. Supervisors' guidance significantly and positively impacted learning engagement ( β=0.689, P<0.001) and personal ability ( β=0.504, P<0.001). Learning engagement played a partial mediating role (89.30% of mediation effect) between supervisors' guidance and personal ability. Learning burnout (interaction term β=0.078, P<0.001) positively regulated the relationship between supervisors' guidance and learning engagement. Conclusions:Learning engagement can mediate the effect of supervisors' guidance on the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine, and learning burnout positively regulates the effect of supervisors' guidance on learning engagement. Strengthened supervisors' guidance, increased attention to students' learning burnout, and enhanced learning engagement can further improve the personal abilities of postgraduates in the Professional Master's Program in Clinical Medicine.

Objective:To investigate the "burnout-engagement continuum" status of postgraduate supervisors of the Professional Master's Program in Clinical Medicine and to identify key populations.Methods:From October to November 2023, an anonymous online questionnaire survey was conducted to determine the "burnout-engagement continuum" status of postgraduate supervisors of the Professional Master's Program in Clinical Medicine. The scores of different dimensions of job burnout are expressed as mean±standard deviation, and the distribution of supervisors of different status is presented in frequency and percentage. All data analyses were performed in R 4.3.1. Distribution of the five profiles among supervisors of different status was compared using the chi-square test and compared pairwise using the Bonferroni method.Results:A total of 2 664 valid questionnaires were collected. The scores of emotional exhaustion, cynicism and personal accomplishment were（2.46±0.95),（1.74±0.89), and（4.23±0.90), respectively. The prevalence of job engagement, inefficacy, overexertion, disengagement, and burnout among the supervisors were 42.76%（1 139/2 664), 43.54%（1 160/2 664), 33.03%（880/2 664), 14.71%（392/2 664), and 13.66%（364/2 664), respectively. In terms of demographics, the distribution of the "burnout-engagement continuum" was significantly different by age, sex, marital status, and highest education level（ P<0.05). In terms of work-related characteristics, the distribution of the "burnout-engagement continuum" was significantly different by income, professional title, administrative position, and working hours on weekdays and holidays（ P<0.05). The distribution of engagement, inefficacy, and overexertion was significantly different between the eastern and western regions（ P<0.05). Conclusions:There is a high percentage of individuals with burnout among postgraduate supervisors of the Professional Master's Program in Clinical Medicine, and inefficacy is a common negative state. Supervisors who work in the western regions, are under 45 years of age, are male, are married, have a doctorate degree, hold associate senior professional title, have lower relative income, are not holding administrative duties, and work more than 10 hours on workdays and more than 4 hours on holidays are key populations that require increased attention. The psychological state of supervisors can be improved by providing them with more resources, work benefits, and incentives.

Objective:To investigate the current status of and relationship between practice efficacy, professional identity, and anxiety among public health master's graduates.Methods:From a national survey on the satisfaction with education of fresh medical master's graduates conducted from June to July, 2022, we selected 461 master's graduates of public health with internship experience from 49 institutions. With the use of SPSS 21.0, we compared the scores of practice efficacy, professional identity, and self-rated anxiety by personal characteristics through t-tests and analysis of variance; and explored the mediating role of anxiety in the relationship between practice efficacy and professional identity through stratified regression analysis. Results:The public health master's graduates scored (3.47±1.23) points for anxiety, (3.92±0.88) points for practice efficacy, and (4.33±0.77) points for professional identity. The score of anxiety differed significantly by sex, the degree of being affected by public health emergencies/major outbreaks, and internship initiative (all P<0.05). The score of practice efficacy was significantly different by sex, the type of institution, the degree of being affected by public health emergencies/major outbreaks, and internship initiative (all P<0.05). The score of professional identity differed significantly by sex, the type of institution, major transfer, the degree of being affected by public health emergencies/major outbreaks, internship initiative, and internship duration (all P<0.05). Professional identity was positively correlated with practice efficacy ( r=0.652, P<0.01) and negatively correlated with anxiety ( r=-0.213, P<0.05). The stratified regression results showed that practice efficacy positively influenced professional identity ( β=0.782, P<0.001), and anxiety partially mediated the relationship between the two ( β=-0.104, P<0.05). Conclusions:Anxiety plays a mediating role in the relationship between practice efficacy and professional identity, suggesting that reducing anxiety can help enhance practice efficacy to promote the professional identity of public health master's graduates.

Objective:To explore the efficacy, safety, and feasibility of single port laparoscopic liver resection via umbilical cord, and summarize its surgical experience.Method:A retrospective analysis was conducted on 39 patients who underwent liver resection surgery at the Department of Hepatobiliary and Pancreatic Surgery, the Affiliated Hospital of Qingdao University from February 2022 to September 2023. There were 19 patients in the transumbilical single-port laparoscopic group, including 5 males and 14 females, aged (49.6±2.5) years. There were 20 patients in the multi-port laparoscopic group, including 7 males and 13 females, aged (49.9±3.1) years. The intraoperative blood loss, operation time, intestinal recovery time, postoperative hospital stay and postoperative complications were compared between the single-port group and multi-port group.Results:All 39 patients successfully completed the surgery without any additional foramen or conversion to open surgery. The operation time of the single hole group (166.3±59.0) min was longer than that of the multi-port group (123.2±48.0) min, and the difference was statistically significant ( t=2.50, P=0.020). There were no statistically significant differences in intraoperative blood loss, intestinal recovery time, postoperative hospital stay, and postoperative complications between these two groups (all P>0.05). All patients had no postoperative complications such as bleeding, infection, or bile leakage. Follow up for 3~21 months showed no recurrence of primary diseases such as hepatic hemangioma, hepatic adenoma, and intrahepatic bile duct stones. The aesthetic effect of the umbilical incision in the single orifice group was significant, and patient satisfaction was 100%. Conclusion:Umbilical single-port laparoscopic liver resection surgery is safe and feasible, with significant minimally invasive and aesthetic effects.

Objective There are 6 leads of limb lead ECG,and the cardiac electrical axis can be estimated by any combination of two leads.In this paper,the estimation accuracy of all 15 pairs of limb-lead combinations was compared.Methods Using the open database of 12-lead electrocardiograms(at a sampling frequency of 500 Hz with duration of 10 seconds during resting state)from PhysioNet,totally 21 306 ECG records were extracted with age≥18 years which labeled as single sinus type(axis normal),including 6 153 records with Sinus Rhythm,10 916 records with Sinus Bradycardia,3 466 records with Sinus Tachycardia,and 771 records with Sinus Irregularity.Moreover,totally 2 323 axis deflection recordings with age≥18 years were extracted,including 1 526 records with Axis left shift,and 797 records with Axis right shift.Cardiac electrical axis was estimated with the net amplitude(or area)of QRS complex(algebraic sum of positive and negative amplitude or area)by any pair of leads from{Ⅰ,Ⅱ},{Ⅰ,Ⅲ},{Ⅰ,aVR},{Ⅰ,aVL},{Ⅰ,aVF},{Ⅱ,Ⅲ},{Ⅱ,aVR},{Ⅱ,aVL},{Ⅱ,aVF},{Ⅲ,aVR},{Ⅲ,aVL},{Ⅲ,aVF},{aVR,aVL},{aVR,aVF},{aVL,aVF},respectively.Results For the amplitude-based method,the recognition accuracy for the normal,left and right axes from{Ⅰ,Ⅱ}and{Ⅱ,aVL}is 93.56%and 93.50%,respectively,which is better than that of the traditional classical method{I,aVF}(92.93%).For the area-based method,the recognition accuracy from{Ⅲ,aVR},{Ⅰ,aVR},{Ⅰ,Ⅱ},{aVR,aVF},{Ⅱ,aVL}and{Ⅱ Ⅲ}is 92.66%,92.53%,92.29%,92.19%,92.10%and 91.91%,respectively,which is better than the traditional classical method{Ⅰ,aVF}(91.82%).Conclusion The accuracy of amplitude-based method is higher than that of area-based method.Lead pair{Ⅰ,Ⅱ}and{Ⅱ,aVL}have higher accuracy than traditional classical{Ⅰ,aVF}in automatic estimation of cardiac electrical axis for both amplitude and area method.

OBJECTIVES: To explore the mRNA differential expressions and the sequential change pattern in acute myocardial infarction (AMI) mice. METHODS: The AMI mice relevant dataset GSE4648 was downloaded from Gene Expression Omnibus (GEO). In the dataset, 6 left ventricular myocardial tissue samples were selected at 0.25, 1, 4, 12, 24 and 48 h after operation in AMI group and sham control group, and 6 left ventricular myocardial tissue samples were selected in blank control group, a total of 78 samples were analyzed. Differentially expressed genes (DEGs) were analyzed by R/Bioconductor package limma, functional pathway enrichment analysis was performed by clusterProfiler, protein-protein interaction (PPI) network was constructed by STRING database and Cytoscape software, the key genes were identified by Degree topological algorithm, cluster sequential changes on DEGs were analyzed by Mfuzz. RESULTS: A total of 1 320 DEGs were associated with the development of AMI. Functional enrichment results included cellular catabolic process, regulation of inflammatory response, development of muscle system and vasculature system, cell adhesion and signaling pathways mainly enriched in mitogen-activated protein kinase (MAPK) signaling pathway. The key genes of AMI included MYL7, TSC22D2, HSPA1A, BTG2, NR4A1, RYR2 were up-regulated or down-regulated at 0.25-48 h after the occurrence of AMI. CONCLUSIONS The functional signaling pathway of DEGs and the sequential expression of key genes in AMI may provide a reference for the forensic identification of AMI.
Animals ; Computational Biology/methods* ; Gene Expression Profiling/methods* ; Mice ; Mitogen-Activated Protein Kinases/metabolism* ; Myocardial Infarction/metabolism* ; RNA, Messenger ; Ryanodine Receptor Calcium Release Channel/metabolism* ; Transcriptome

With the ultra high performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry(UHPLC-Q Exactive Orbitrap-MS)-based metabonomics technology, this study aims to analyze the effect of Chaiqin Ningshen Granules(CNG) on endogenous metabolites in insomnia rats of liver depression syndrome and explore the sleep-improving mechanism of this prescription. Parachlorophenylalanine(PCPA, ip) and chronic stimulation were combined to induce insomnia of liver depression pattern in rats, and the effect of CNG on the macroscopic signs, hemorheology, and neurotransmitters in the hippocampus of insomnia rats of liver depression syndrome was observed. After the administration, rat hippocampus was collected for liquid chromatography-mass spectrometry(LC-MS) analysis of the metabolomics. Principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were employed for analyzing the metabolites in rat hippocampus and screening potential biomarkers. MetPA was used to yield the related metabolic pathways and metabolic networks. The results show that the drugs can significantly improve the mental state, liver depression, and blood stasis of rats, significantly increase the content of 5-hydroxytryptamine(5-HT) and gamma aminobutyric acid(GABA) in hippocampus(except low-dose CNG), and significantly reduce the content of glucose(Glu)(except low-dose CNG). Among them, estazolam and high-dose CNG had better effect than others. Metabolomics analysis yielded 27 potential biomarkers related to insomnia. MetPA analysis showed 4 metabolic pathways of estazolam in intervening insomnia and 3 metabolic pathways of high-dose CNG in intervening insomnia, involving purine metabolism, glycerophospholipid metabolism, histidine metabolism, and caffeine metabolism. CNG can alleviate insomnia by regulating endogenous differential metabolites and further related metabolic pathways. The result lays a basis for further elucidating the mechanism of CNG in improving sleep.
Animals ; Biomarkers ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/pharmacology* ; Estazolam ; Hippocampus/metabolism* ; Metabolomics/methods* ; Rats ; Sleep ; Sleep Initiation and Maintenance Disorders/drug therapy*

Lipid nanoparticle (LNP) is commonly used to deliver mRNA vaccines. Currently, LNP optimization primarily relies on screening ionizable lipids by traditional experiments which consumes intensive cost and time. Current study attempts to apply computational methods to accelerate the LNP development for mRNA vaccines. Firstly, 325 data samples of mRNA vaccine LNP formulations with IgG titer were collected. The machine learning algorithm, lightGBM, was used to build a prediction model with good performance (R ² > 0.87). More importantly, the critical substructures of ionizable lipids in LNPs were identified by the algorithm, which well agreed with published results. The animal experimental results showed that LNP using DLin-MC3-DMA (MC3) as ionizable lipid with an N/P ratio at 6:1 induced higher efficiency in mice than LNP with SM-102, which was consistent with the model prediction. Molecular dynamic modeling further investigated the molecular mechanism of LNPs used in the experiment. The result showed that the lipid molecules aggregated to form LNPs, and mRNA molecules twined around the LNPs. In summary, the machine learning predictive model for LNP-based mRNA vaccines was first developed, validated by experiments, and further integrated with molecular modeling. The prediction model can be used for virtual screening of LNP formulations in the future.