Taking Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology as an example,it discusses the basic ideas and innovative practices of project organization from"passive order taking"to"active planning",platform construction from"free growth"to"directional cultivation",team construction from"wearing hats"to"focusing on actual combat",and achievement transformation from"resource guidance"to"comprehensive policy".It puts forward some suggestions that hospitals should play the leading role of"national team"in organizing scientific research and innovation practice,pay attention to the docking of national strategy,the linkage of university resources.

ObjectiveTo understand the mortality trends among residents of Fuling District， Chongqing， before and after theCOVID-19 outbreak， and to provide references for the government to formulate disease prevention and control policies and measures. MethodsData on mortality and population in Fuling District from 2017 to 2022 were collected to analyze population mortality and standardized mortality rates， and to compare the changes in the causes of death by year and before and after the pandemic. ResultsFrom 2017 to 2022， the crude mortality rate in Fuling District showed an upward trend （APC=3.04%， P<0.05）， while the standardized mortality rate showed a downward trend （APC=-6.47%， P<0.01）. The mortality rate of males was higher than that of females （P<0.05）， with different age groups having different causes of death composition. The highest proportion of deaths in 0-year-old group was from infectious diseases， maternal and neonatal diseases， and nutritional deficiencies， the highest proportion of deaths in the 1‒24 age group， with the exception of those aged 5‒9， was from injuries， and the main cause of death for residents aged 25 and above was chronic diseases. The mortality rate of mental and behavioral disorders rose from the 13th to the 9th place. According to the epidemic situation of COVID-19， there were no changes in the top five causes of death among the entire population. The motility rate of endocrine， nutritional and metabolic diseases rose from the sixth to the fifth place in male population， and the motility rate of malignant tumor rose from the 3rd to the 2nd place in female population. ConclusionThere are no changes in the top five causes of death among the entire population of Fuling District before and after the COVID-19 outbreak. Chronic diseases remain the main cause of death. It is necessary to control the risk factors for cardiovascular and cerebrovascular diseases such as hypertension， diabetes， and dyslipidemia， and to curb the rising trend of mortality rates from strokes and acute myocardial infarction. For deaths caused by accidental injuries， targeted health education should be conducted for different populations.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology has the characteristics of high specificity and high throughput, making it rapidly applied and developed in the field of clinical testing. Its application in the monitoring of therapeutic drugs can effectively improve the quantitative accuracy and sensitivity, and formulate a personalized and optimal dosing plan for patients. However, this technology still faces some challenges, and automation, quality control, and quantitative traceability will be the future development direction.

Objective To retrospectively analyze the distribution and drug resistant characteristics of isolated pathogens （especially Gram-negative bacteria） in hospital and promote the rational use of antibacterial drugs. Methods The pathogens and drug sensitivity test results were collected from the whole hospital every quarter from July 2018 to March 2023, and were conducted retrospective analysis. Results A total of 14 844 pathogens were isolated and detected, including 4 757 Gram-positive bacteria （32.05%） and 10 087 Gram-negative bacteria （67.95%）. The detection rate of extended spectrum beta-lactamases Escherichia coli was 43.23%, and it maintained high sensitivity to carbapenems and enzyme inhibitors, and the sensitivity rate was about 99.00%. The drug resistance of Klebsiella pneumoniae was more serious, and carbapenem-resistant, multi-drug resistance and extensively-drug resistance appeared. In 2022，the detection rate of carbapenem-resistant Klebsiella pneumoniae was 54.82%; the detection rates of carbapenem-resistant Pseudomonas Aeruginosa and carbapenem-resistant Acinetobacter baumannii in non-fermentative bacteria were 22.02% and 74.34%, the detection rate of multi-drug resistant Acinetobacter baumannii was >70%. Conclusion The problem of drug resistance of Gram-negative bacteria was still serious, especially in Klebsiella pneumoniae and Acinetobacter baumannii. The problem of bacterial resistance poses great challenges to clinical treatment, and it is necessary to conduct regular monitoring and promote rational drug use.

Objective To explore the relevant protective/risk factors during the development of coronary heart disease blood stasis evidence in the process of pre-existing evidence based on the macro-,meso-,and micro-health state characterization parameter system of Chinese medicine state science.Methods 253 cases of coronary heart disease to be investigated were collected from the outpatient and inpatient departments of the Department of Cardiology in the hospitals affiliated to Hunan University of Traditional Chinese Medicine,and questionnaires were formulated according to the three dimensions of macro,meso,and micro,and the collected parameters were categorized with Python software,and the patients were diagnosed as pre-coronary heart disease blood stasis evidence(150 cases)and coronary heart disease blood stasis evidence(100 cases),and statistical analyses were performed with frequency analysis,χ2 test,and Logistic regression and other methods for statistical analysis.Results ①The results of univariate analysis showed that:age,BMI,history of smoking,history of alcohol consumption,history of hypertension,history of diabetes mellitus,average monthly high temperature,air quality,season,type of occupation,social environment,coronary artery angiographic stenosis,diastolic blood pressure,systolic blood pressure,creatinine,uric acid and total cholesterol differed between patients diagnosed as pre-Coronary artery disease blood stasis evidence and those diagnosed as Coronary artery disease blood stasis evidence,and all the differences were statistically significant(P<0.05).② Binary logistic regression analysis showed that age,BMI,history of alcohol consumption,type of occupation,coronary angiographic stenosis,diastolic blood pressure,creatinine,and dark red tongue were independent risk factors.A prediction model was established:P=1/[1+exp(16.522-1.427×age-0.975×BMI-3.55×drinking history+1.982×monthly average high temperature+0.709×season-1.827×occupational type-1.1×coronary angiographic stenosis-0.072×diastolic blood pressure-0.076×creatinine+2.398×dizziness-4.108×dark red tongue+4.169×pulse asthenia)],the model prediction rate was 90.5%.Conclusion The logistic regression model of coronary heart disease with blood stasis evidence is good with clinical diagnosis,which lays the foundation for the exploration of the state between the already diseased and undiseased of coronary heart disease,and provides important basic data for the theory of subhealth.

Lithium(Li)salts are commonly used as psychotropic medications for the treatment of major depressive disorders.However,long-term use of Li salts poses a high risk of toxicity,necessitating continuous monitoring of Li concentration in patient blood to ensure medication safety,which is crucial for clinical treatment.Laser-induced breakdown spectroscopy(LIBS),as a rapid analytical technique,has been widely applied in the elemental analysis of complex matrices in various practical scenarios.In this study,LIBS technology combined with partial least squares(PLS)was employed for quantitative analysis of Li elements in blood matrix.A total of 45 clinical blood samples were utilized,and the quantitative models for plasma and whole blood matrices were separately investigated.The number of latent variables in the PLS algorithm was optimized using a five-fold cross-validation method.Results revealed that the PLS quantitative model constructed on the basis of plasma matrix achieved a predictive determination coefficient(R2)of 0.992,a predictive root mean square error(RMSEP)of 0.204 μg/mL,and a relative standard error(RSD)of 2.14%.In contrast,for the PLS quantitative model constructed on the basis of whole blood matrix,the R2 was 0.984,the RMSEP was 0.728 μg/mL,and the RSD was 3.45%Consequently,the LIBS model constructed on the basis of plasma calibration values demonstrated superior performance in quantitative analysis of Li element in whole blood,and LIBS technology provided a new possibility for rapid assessment of blood Li levels in clinical practice,with promising prospects for application.

The post-translational modification of proteins is a key mechanism that imparts physiological functions to proteins,among which reversible phosphorylation modifications play a pivotal role in many biological processes.Aberrant changes in phosphorylation are often closely associated with various major disease processes.In recent years,with the aid of proteomic technologies and methods,high-throughput,high-precision qualitative and quantitative approaches for phosphorylated proteins have rapidly advanced.This article reviews the research progress of phosphorylated protein quantification and chemical proteomics analysis methods based on the"bottom-up"strategy,including phosphopeptide enrichment methods,mass spectrometry fragmentation methods,quantification analysis methods and phosphorylation site stoichiometry,and discusses the development trend of quantification and stoichiometric analysis methods for phosphorylated proteins.

Elemental imaging analysis based on laser induced-breakdown spectroscopy(LIBS)can provide significant reference value for oil and gas exploration activities.Improving the scanning speed and spatial resolution of LIBS elemental imaging analysis instruments contributes to enhancing the efficiency of mineral surface elemental analysis,which is crucial for achieving in-situ,real-time,and rapid LIBS analysis.In this study,a high-speed scanning LIBS elemental imaging analysis instrument was developed based on a scanning mirror device,achieving a scanning speed of 100 Hz and a spatial resolution of 50 μm.The stability of spectral data collected by this instrument was validated using aluminum alloy standard samples with uniform elemental distribution.The experimental results showed that the relative standard deviations(RSD)of the spectral data collected at different locations were 2.76％,2.79％,2.35％and 2.55％,respectively,demonstrating that the instrument's performance met analysis requirements.Analysis of spectral acquisition channels led to the selection of the 337-595 nm spectral range.Imaging analysis of major elements on the surface of meteorite mineral samples with complex matrices was conducted using this instrument,coupled with a multi-element imaging algorithm enabling visualization analysis of four major elements on the same image.The results revealed a higher level of detail and complexity in element distribution.The study demonstrated that this instrument,combined with multi-element imaging analysis algorithms,could provide crucial technical support for rapid imaging of element distribution in minerals at a microscopic scale during geological research.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

The number of investigator initiated research (IIR) is increasing. But the recognition and management of IIR in China is still in its infancy, and there is a lack of specific and operable guidance for the implementation process. Based on our practical experiences, previous literature reports, and current policy regulations, the authors took prospective IIR as an example to summarize the implementation process of IIR into 14 steps, which are as the following: study initiation, ethical review, study registration, study filing, case report form design, database establishment, standard operating procedure making, investigator training, informed consent, data collection, data entry, data verification, data locking and data archiving.