ObjectiveTo investigate the contamination status, transmission risk and drug resistance of Klebsiella pneumoniae (KP) on the object surfaces in the surrounding environment of hospitalized patients infected with carbapenem-resistant Klebsiella pneumoniae (CRKP) , so as to provide a scientific guidance for the prevention and control of healthcare-associated infection. MethodsSamples from the surfaces of objects in the surrounding environment of CRKP infected patients living in the intensive care unit (ICU) and hand specimens from healthcare workers were collected for KP isolation and identification, as well as drug susceptible test in a medical institution located in Minhang District, Shanghai from 2021 to 2023. Additionally, both univariate and multivariate logistic regression analyses were used to identify the influencing factors associated with KP contamination in the hospital environment. ResultsA total of 546 surface samples were collected from the surrounding environment objects of 15 patients infected with CRKP, with a KP detection rate of 6.59% (36/546).The KP detection rate in the ICU of general ward (10.22%) was higher than that in the ICU of emergency department (2.94%) (χ²=12.142, P<0.001). Moreover, the KP detection rate on the surfaces of patient-contacted items (15.66%) was higher than that on shared-use items (6.25%), cleaning items (10.00%), and medical supplies (3.30%) (χ²=17.943, P<0.001). Besides, the detection rate of KP in items sent out of hospital for disinfection (15.38%) was higher than that in those self-disinfected (4.20%) (χ²=19.996, P<0.001).The highest detection rate of KP was observed in high-temperature washing (15.13%, 18/119) (χ²=21.219, P<0.001), while the lowest detection rate was observed in antibacterial hand sanitizer with trichlorohydroxydiphenyl ether sanitizing factor (0, 0/60) ( χ²=21.219, P<0.001).The detection rate of KP in samples taken more than 24 hours after the last disinfection (23.08%) was higher than that in those taken at 4 to24 hours (12.90%) and less than 4 hours (4.22%) (χ²=23.398,P<0.001).ICU of general ward (OR=4.045, 95%CI: 2.206‒7.416), patient-contacted items (OR=3.113, 95%CI: 1.191‒8.141), and self-disinfection ( OR=0.241, 95%CI:0.144‒0.402) were influencing factors for KP contamination in environmental surface. From 2021 to 2023, the drug resistance rates of hospital environmental KP isolates showed an upward trend (P<0.001) to antibiotics such as ceftazidime and gentamicin. Furthermore, high drug resistance rates of KP (>90%) were observed to ciprofloxacin, levofloxacin, cefotaxime, ceftriaxone, and cefepime. ConclusionCRKP can be transmitted outward through the surfaces of objects in the patients’ surroundings, and the drug resistance situation is severe. In clinical settings, it is necessary to implement isolation measures for CRKP infection patients, to increase the frequency of disinfection for objects in their surroundings, to strengthen hand hygiene practices, and to use antibiotics appropriately.

Objective: To identify ferroptosis-related genes associated with gastric cancer prognosis and investigate their potential molecular functions. Methods: Gene expression profiles and clinical information of gastric cancer tissues and adjacent normal tissues were obtained from TCGA database. Differential expression analysis of ferroptosis-related genes was performed using the "DESeq2" package in R software. Key genes were identified and a prognostic model for gastric cancer was constructed through Cox regression analysis based on the LASSO algorithm. Patients were stratified into high-risk and low-risk groups according to the median risk score. The accuracy of the model was evaluated using Kaplan-Meier survival analysis and ROC curve analysis. Immune cell infiltration in gastric cancer patients was assessed with the "CIBERSORT" package. The mRNA expression of differentially expressed genes(DEGs) with prognostic significance was examined in both gastric cancer and adjacent normal tissue samples. In vitro experiments were conducted to validate the impact of hydroxycarboxylic acid receptor 1(HCAR1) on the malignant biological behavior of gastric cancer. Results: Based on ferroptosis-related genes from the TCGA database, a novel prognostic model was constructed. It demonstrated robust predictive power for survival in both training and validation cohorts. RT-qPCR analysis of 8 pairs of gastric cancer and normal tissues revealed that the expression patterns of 6 prognostic DEGs in cancer tissues were consistent with those predicted by the model. In vitro experiments confirmed that downregulation of the key gene HCAR1 could inhibit the proliferation, invasion, and metastasis of gastric cancer cells. Conclusion The ferroptosis-related gene based prognostic model exhibits robust predictive capability, allowing for accurate determination of prognosis and survival in individuals with gastric cancer.

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.

OBJECTIVE: Benzylisoquinoline alkaloids (BIAs) have pharmacological functions and clinical use. BIAs are mainly distributed in plant species across the order Ranunculales and the genus Phellodendron from Sapindales. The BIA biosynthesis has been intensively investigated in Ranunculales species. However, the accumulation mechanism of BIAs in Phellodendron is largely unknown. The aim of this study is to unravel the biosynthetic pathways of BIAs in Phellodendron amurens. METHODS: The transcriptome and metabolome data from 18 different tissues of P. amurense were meticulously sequenced and subsequently subjected to a thorough analysis. Weighted gene co-expression network analysis (WGCNA), a powerful systems biology approach that facilitates the construction and subsequent analysis of co-expression networks, was utilized to identify candidate genes involved in BIAs biosynthesis. Following this, recombinant plasmids containing candidate genes were expressed in Escherichia coli, a widely used prokaryotic expression system. The purpose of this genetic engineering endeavor was to express the candidate genes within the bacteria, thereby enabling the assessment of the resultant enzyme activity. RESULTS: The synonymous substitutions per synonymous site for paralogs indicated that at least one whole genome duplication event has occurred. The potential BIA biosynthetic pathway of P. amurense was proposed, and two PR10/Bet v1 members, 14 CYP450s, and 33 methyltransferases were selected as related to BIA biosynthesis. One PR10/Bet v1 was identified as norcoclaurine synthase, which could catalyze dopamine and 4-hydroxyphenylacetaldehyde into (S)-norcoclaurine. CONCLUSION Our studies provide important insights into the biosynthesis and evolution of BIAs in non-Ranunculales species.

Objective:To evaluate the predictive performance of machine learning methods for predicting the risk of death in traumatic hemorrhage, and address the low prediction accuracy of traditional trauma scores, provide a reference for developing a more robust prediction method for severe trauma patients.Methods:Clinical data of severe trauma patients from the National Trauma Medical Center between April 1, 2023, and March 31, 2024 were collected. ElasticNet, Recursive Feature Elimination, and Mutual Information-based feature selection methods were used to screen variables and compared with traditional hypothesis testing methods. Built the prediction models for mortality risk in traumatic hemorrhage using Logistic Regression, ElasticNet, and Support Vector Machine (SVM) and compared the predictive performance.Results:The study included 5,601 trauma patients, the results of the variable screening and importance ranking were consistent with three feature selection methods. The classification accuracy and AUC values for the three models were as follows: Overall accuracy was 83.2%, survival accuracy was 84.0%, death accuracy was 76.3%, and an AUC was 0.86 in logistic regression; Overall accuracy was 78.9%, survival accuracy was 78.5%, death accuracy was 81.7%, and an AUC was 0.88 in ElasticNet; Overall accuracy was 84.7%, survival accuracy was 86.1%, death accuracy was 72.4%, and an AUC was 0.86 in SVM. The prediction performance of three models is quite little.Conclusion:Machine learning methods can effectively improve the prediction of death risk for traumatic hemorrhage,and has wide applications.

Objective:To analyze the total expendition,developmental changes and flow of the total cost of traditional Chinese medicine(TCM)in China from 2016 to 2021,and to study the development of the total cost of TCM in different medical institutions.Methods:Institutional flow method and case-base aggregation method were used to account for the total TCM costs.Results:From 2016 to 2021,the total amount of total TCM costs flowed to TCM-type hospitals was the highest in China,the proportion of total TCM costs in primary healthcare organizations was increased,and TCM-type clinics and outpatient clinics were developed more rapidly.The share of Chinese medicine drug costs in total Chinese medicine costs has been declined,and the share of county hospitals in their total health costs has been risen overall Conclusion:In the future,it would increase the TCM investment,attach importance to the development of TCM services in non-Chinese medicine hospitals,improve the capacity of primary Chinese medicine services,continue to consolidate the policy of"strengthening the primary",and maintain the rapid development of Chinese medicine clinics and outpatient clinics;the value of Chinese medicine technical labor should be emphasized,and the driving force of county hospitals should be brought into full play.

Objective:To identify factors influencing orthostatic intolerance (OI) in patients during initial ambulation following minimally invasive lung surgery and develop and validate a risk prediction model to assist clinical practitioners in screening high-risk patients.Methods:Totally 1 000 patients who underwent minimally invasive lung surgery at the Department of Thoracic Surgery of Peking University Third Hospital from March 2022 to November 2023 were recruited by convenience sampling. Patients were randomly divided into a modeling group ( n=800) and an internal validation group ( n=200) in an 8∶2 ratio. Univariate analysis and logistic regression were applied to determine risk factors for OI in the modeling group. R software was utilized to construct a nomogram model. The model's predictive performance was assessed using the area under the ROC curve ( AUC) for both the modeling and validation groups. Calibration curves were plotted to evaluate consistency, and the Hosmer-Lemeshow test was conducted to confirm model fit. Results:The incidence of OI during initial ambulation was 37.2% (372/1 000). Logistic regression identified BMI, postoperative day 1 drainage volume, postoperative use of nonsteroidal anti-inflammatory drugs (NSAIDs), and initial ambulation pain score as independent risk factors for OI ( P<0.05). The AUC for the nomogram model in the modeling group was 0.645, and 0.694 in the validation group, indicating good predictive accuracy. Calibration curves showed strong agreement between predicted and observed outcomes ( P>0.05) . Conclusions:The constructed risk prediction model demonstrates good predictive ability for OI risk during initial ambulation following minimally invasive lung surgery, which can support clinical identification of high-risk patients. This tool may provide valuable guidance for implementing early, targeted preventive measures.

Objective:To analyze the causes of out-of-hospital cardiac arrest (OHCA) and the differences in outcomes of pre-hospital first-aid measures and cardiopulmonary resuscitation for different etiologies, improved the success rate of rescue.Methods:A retrospective study was conducted on OHCA patients admitted to Beijing Emergency Medical Centre from January to December 2021. The pre-hospital emergency medical records and rescue results within medical institutions were collected. Compared the basic situation between patients with cardiogenic and non-cardiogenic cardiac arrest, the differences of rescue measures and CPR outcomes between the groups were compared by non-parametric test and χ 2 test. Results:A total of 7 517 patients were included in this study. Cardiogenic arrest patients were older, more underlying diseases (84.2%), and cardiac arrest mainly occurred at home. The cause of non-cardiogenic arrest included disease (85.1%), trauma (2.9%), suicide (5.0%), traffic accidents (1.7%), poisoning (1.1%), and so on. In terms of first-aid measures, after the emergency doctor arrived at the scene, the proportion of first-aid measures used for cardiogenic patients was high (22.3%), and the first aid measures include cardiopulmonary resuscitation, tracheal intubation, defibrillation, oxygen inhalation, injection of adrenaline and use of other drugs. All the proportions of first-aid measures for cardiogenic patients were significantly higher than non-cardiogenic patients (all P<0.001). In terms of clinical outcomes, there were no statistical differences in return of spontaneous circulation ( P=0.072) and 24-hour survival ( P=0.093) between cardiogenic and non-cardiogenic patients. Conclusions:Cardiogenic cardiac arrest was the main cause of OHCA. Cardiogenic arrest patients were more underlying diseases, and older in age, the main clinical feature was onset at home. The comprehensive treatment measures for pre-hospital first-aid cardiac arrest should continue to be strengthened to improve the success rate of rescue for OHCA.

Objective:To analyze the total expendition,developmental changes and flow of the total cost of traditional Chinese medicine(TCM)in China from 2016 to 2021,and to study the development of the total cost of TCM in different medical institutions.Methods:Institutional flow method and case-base aggregation method were used to account for the total TCM costs.Results:From 2016 to 2021,the total amount of total TCM costs flowed to TCM-type hospitals was the highest in China,the proportion of total TCM costs in primary healthcare organizations was increased,and TCM-type clinics and outpatient clinics were developed more rapidly.The share of Chinese medicine drug costs in total Chinese medicine costs has been declined,and the share of county hospitals in their total health costs has been risen overall Conclusion:In the future,it would increase the TCM investment,attach importance to the development of TCM services in non-Chinese medicine hospitals,improve the capacity of primary Chinese medicine services,continue to consolidate the policy of"strengthening the primary",and maintain the rapid development of Chinese medicine clinics and outpatient clinics;the value of Chinese medicine technical labor should be emphasized,and the driving force of county hospitals should be brought into full play.

Objective:To analyze the total expendition,developmental changes and flow of the total cost of traditional Chinese medicine(TCM)in China from 2016 to 2021,and to study the development of the total cost of TCM in different medical institutions.Methods:Institutional flow method and case-base aggregation method were used to account for the total TCM costs.Results:From 2016 to 2021,the total amount of total TCM costs flowed to TCM-type hospitals was the highest in China,the proportion of total TCM costs in primary healthcare organizations was increased,and TCM-type clinics and outpatient clinics were developed more rapidly.The share of Chinese medicine drug costs in total Chinese medicine costs has been declined,and the share of county hospitals in their total health costs has been risen overall Conclusion:In the future,it would increase the TCM investment,attach importance to the development of TCM services in non-Chinese medicine hospitals,improve the capacity of primary Chinese medicine services,continue to consolidate the policy of"strengthening the primary",and maintain the rapid development of Chinese medicine clinics and outpatient clinics;the value of Chinese medicine technical labor should be emphasized,and the driving force of county hospitals should be brought into full play.