ObjectiveThe Golgi apparatus serves as a central hub in the eukaryotic secretory pathway, responsible for the processing, sorting, and trafficking of proteins and lipids. In mammalian cells, the Golgi typically forms a perinuclear ribbon-like structure composed of laterally connected cisternae stacks.The maintenance of Golgi ribbon structure depends on the balance of membrane flux across multiple intracellular trafficking pathways, yet the specific contributions of distinct trafficking branches to Golgi macroscopic morphology remain elusive. In mammalian cells, the Golgi ribbon is typically organized as a perinuclear, laterally connected structure composed of stacked cisternae, and its integrity is highly dynamic and sensitive to perturbations in membrane trafficking. This study aims to elucidate the role of coat protein complex I (COPI)-mediated retrograde transport in maintaining the Golgi ribbon and to dissect the functional relationship between the transmembrane cargo receptors LEPROT/LEPROTL1 (LEPROTs) and the COPI adaptor GOLPH3. MethodsUsing siRNA interference and gene-deficient cell lines, we selectively perturbed COPI- or adaptor protein complex 1 (AP-1)-mediated trafficking pathways in HeLa cells. To quantitatively evaluate Golgi morphology, we employed a “Golgi Angle”-based measurement to assess its circumferential distribution around the nucleus. The spatial distribution of the Golgi ribbon was quantitatively analyzed using confocal microscopy, while Golgi ultrastructure and vesicle density were examined via transmission electron microscopy. Additionally, the subcellular distribution of COPI components was assessed by immunofluorescence co-localization. ResultsSelective inhibition of COPI retrograde transport significantly induced the circumferential extension of the Golgi ribbon around the nucleus, whereas blocking AP-1-mediated anterograde transport resulted in Golgi compaction, indicating opposing roles. These results suggest that different trafficking branches downstream of ARF1 exert distinct and even antagonistic effects on Golgi morphology. LEPROTs-deficient cells exhibited a Golgi extension phenotype highly consistent with COPI impairment. Furthermore, knockdown of GOLPH3 in a LEPROTs double-knockout background produced a significant additive effect on Golgi extension, suggesting that LEPROTs and GOLPH3 play non-redundant roles in regulating COPI-related trafficking processes. Mechanistically, loss of either LEPROTs or GOLPH3 led to the aberrant accumulation of COPI components at endoplasmic reticulum exit sites, accompanied by a reduction in COPI-like vesicles around the Golgi. This redistribution indicates a defect in COPI recycling between the ER-Golgi interface and the Golgi apparatus. Ultrastructural analysis revealed that Golgi cisternae in defective cells became shorter and thicker while maintaining a stable number of stacks. In parallel, the density of Golgi-associated vesicles was markedly decreased, further supporting an impairment in COPI vesicle formation or budding processes. ConclusionThis study demonstrates that active COPI retrograde transport is a critical factor in restricting the over-connection of the Golgi ribbon and maintaining its compactness. Rather than causing fragmentation, partial disruption of COPI function leads to a distinct morphological outcome characterized by Golgi ribbon extension at the light microscopy level and cisternal remodeling at the ultrastructural level. LEPROTs and GOLPH3 cooperatively promote the recycling and vesiculation of COPI components, thereby imposing a structural constraint on the Golgi periphery. Our findings support a model in which multiple adaptor proteins act in parallel to sustain efficient COPI cycling, thereby maintaining Golgi structural homeostasis. These findings provide new cell biological evidence for the membrane trafficking basis of Golgi morphological homeostasis.

Objective To explore the causal relationship between immune cells and heart failure (HF), and the mediating role of serum metabolites, in order to identify potential biomarkers and therapeutic targets. Methods We employed a two-sample Mendelian randomization (MR) analysis method based on genome-wide association study (GWAS) data, analyzing the direct and indirect effects of 731 types of immune cells and 1 400 metabolites on HF. We selected valid instrumental variables and conducted statistical analyses using R software. The primary analysis was performed using the inverse variance weighted method, supplemented by MR-Egger analysis and weighted median method. The stability of the results was assessed through tests such as Cochran’s Q test. Results Our research found a negative causal relationship between PD-L1 on CD14−CD16+ and HF. Sensitivity analysis supported this result. The reverse MR analysis did not find an effect of HF on PD-L1 on CD14−CD16+, indicating that PD-L1 on CD14−CD16+ might play a unidirectional role in reducing the risk of HF. Further mediation MR analysis showed that PD-L1 on CD14−CD16+ might influence the risk of HF onset by regulating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), with a mediation effect ratio of 6.7%. Conclusion PD-L1 on CD14−CD16+ may reduce the risk of HF by elevating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), which provides a new perspective for understanding the pathogenesis of HF.

To analyze the disease burden of acute lymphoid leukemia(ALL) and its changing trends in China and globally from 1990 to 2021, aiming to provide a theoretical basis for disease prevention, treatment, and policy formulation.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

OBJECTIVE To provide guidance for pharmaceutical care in patients with severe Cryptococcus gattii infections.METHODS Clinical pharmacists participated in the diagnosis and treatment of a male patient with disseminated Cryptococcus gattii infection （involving the lungs and central nervous system）. Given the patient’s poor response to initial therapy， the clinical pharmacists， based on antimicrobial susceptibility test results， recommended voriconazole as an alternative azole. In response to refractory hypokalemia caused by liposomal amphotericin B， the clinical pharmacists assisted the physician in developing an intensive potassium replacement regimen. Regarding the interaction between voriconazole and nifedipine， the clinical pharmacists proactively identified the risk and intensified monitoring of the patient’s blood pressure. In response to the onset of hepatitis C during treatment， the clinical pharmacists thoroughly weighed the priority of infection treatment and recommended temporarily postponing antiviral therapy for hepatitis C. For the individualized use of voriconazole， the clinical pharmacists repeatedly performed therapeutic drug monitoring （TDM）. Regarding the patient’s poor lesion resolution， the clinical pharmacists participated in multidisciplinary team discussions to clarify the indications for surgery.RESULTS The physician adopted the clinical pharmacists’ recommendations. Following pharmacological treatment and surgical intervention， the patient’s condition stabilized， and he was discharged while still on medication.CONCLUSIONS For severe Cryptococcus gattii infections， clinical pharmacists should focus on pathogen characteristics， strengthen adverse reaction management， pay close attention to drug interactions， conduct TDM， and actively participate in multidisciplinary team collaboration to ensure the safety and efficacy of patient treatment.

The scientific connotation of the material basis of traditional Chinese medicine （TCM） depends not only on the composition and abundance of its constituents， but more critically on their spatial distribution within medicinal materials and in vivo. However， conventional analytical approaches have limited capacity to resolve in situ spatial information， failing to delve into therapeutic mechanisms of complex TCM systems. Mass spectrometry imaging （MSI） enables label-free in situ analysis with spatial visualization of multiple constituents， providing essential technical support for investigations into the material basis of TCM. In recent years， the application of MSI has continuously expanded across studies of single medicinal materials， processing， compound preparations， and in vivo distribution， systematically elucidating microscale spatial distribution patterns of TCM constituents. Accumulating evidence indicates that MSI facilitates clarification of the relationships among endogenous constituents， biosynthetic pathways， medicinal parts， and geo-authenticity （Daodi）. Moreover， MSI can dynamically depict spatiotemporal transformation of constituents during processing， offering intuitive evidence for the mechanisms underlying toxicity reduction and efficacy enhancement. In the studies of compound preparations， MSI can resolve microregional distribution characteristics of diverse constituents and their potential interactions， thereby deepening the understanding of compatibility principles. In addition， MSI demonstrates unique advantages in in situ tracing of constituents in vivo， as well as in spatially informed quality evaluation and authentication/adulteration identification. Overall， MSI is driving a shift in the research on the material basis of TCM from conventional compositional profiling toward spatial-functional elucidation， providing important technical support for establishing "material-space-efficacy" relationships. Despite remaining challenges in quantification， spatial resolution， and data processing， MSI shows broad promise for application in modern TCM research.

Objective:To investigate the application value of Bama miniature pig model in endoscopic retrograde cholangiopancreatography (ERCP) training.Methods:The experimental study was conducted. Six Bama miniature pigs were selected to establish animal model for ERCP operation. The experimental equipments were the EP-6000 image processing system and ED-580T therapeutic duodenoscopy, and the surgery was performed by two experienced chief physicians. Observation indicators: (1) surgical operation status; (2) preoperative and postoperative physiological and biochemical indicators of experimental animals; (3) experimental endpoint indicators. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were expressed as absolute numbers. Results:(1) Surgical operation status. During the operation, the time required for the duodenoscope to pass from the esophageal inlet to the pylorus of the six experimental animals was 151(range, 46-227)seconds, the insertion length of the endoscope at the pylorus was 85(range, 80-90)cm, and the straightened length of the endoscope shaft was 47(range, 45-50)cm. For bile duct cannulation, the total number of cannulation attempts was 2.0(range, 1.0-3.0), the number of successful cannulation was 1.5(range, 1.0-2.0), and the time of successful cannulation was 44(range, 13-80)seconds. For pancreatic duct cannulation, the total number of cannulation attempts was 3.0(range, 1.0-8.0), and only one successful intubation was performed for each experimental animal, with the time of successful cannulation as 100(range, 53-320)seconds. (2) Preoperative and postoperative physiological and biochemical indicators of experimental animals. For six experimental animals, the preoperative body temperature was (38.8±0.1)℃, serum amylase was (55.3±0.2)U/dL, serum lipase was 232.9(range, 29.4-547.3)U/L, alanine aminotransferase was (51±10)U/L, aspartate aminotransferase was (38±12)U/L, and total bilirubin was (3.2±0.7)μmol/L. At 24 hours postoperatively, the body temperature was (38.6±0.1)℃, serum amylase was (53.0±6.0)U/dL, serum lipase was 62.4(range, 29.4-94.1)U/L, alanine amino-transferase was (54±5)U/L, aspartate aminotransferase was (67±27)U/L, and total bilirubin was (3.5±1.9)μmol/L. (3) Experimental endpoint indicators. At the experimental endpoint of 14 days after surgery, the bile duct length in the six experimental animals was (8.6±1.2)cm, and the bile duct inner diameter was (2.5±0.5)mm. The pancreatic duct length was 12.9(range, 3.7-20.8)cm, and the inner diameter was (1.6±0.2)mm. Results of histopathological examination revealed that both CD3 and CD68 staining were negative in the bile duct and surrounding hepatic tissue, as well as in the pancreatic duct and adjacent pancreatic tissue at the experimental endpoint of 14 days after surgery.Conclusion:Bama miniature pig model can be used for ERCP training.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective Utilizing patient journey mapping to decipher disease management behaviors,barriers,and needs in young and middle-aged liver transplant recipients,providing implications for self-management optimization and quality of life improvement.Methods Using purposive sampling,12 young and middle-aged liver transplant patients who attended outpatient clinics or were hospitalized in liver transplant center of a tertiary hospital in Qingdao were selected for semi-structured interviews from September to November 2024.Thematic extraction and analysis were performed using Colaizzi's 7-step analysis,ultimately resulting in the development of a patient journey map.Results The journey stages were divided into transplantation decision-making period,transplantation waiting period,perioperative period,and post-discharge management period,and the journey key elements were designed as behaviors,barriers,and needs.A total of 25 themes were extracted,including behaviors(such as referrals to higher-level hospitals,verification of treatment options),barriers(such as lack of decision-making autonomy,health information-seeking barriers),and needs(such as shared decision-making,financial assistance).Ultimately,resulting in a map of the disease management journey for young and middle-aged liver transplant recipients.Conclusion The behaviors,barriers,and needs in disease management among young and middle-aged liver transplant recipients demonstrate distinct phase-specific patterns.Healthcare providers should deliver precise and dynamic interventions tailored to each clinical phase,aiming to foster optimal self-management behaviors,address phase-specific banriers,and meet evolving patient needs throughout the transplant continuum.

Objective To investigate the quality of life status in patients with type 2 diabetes mellitus and its influencing factors,understand their demands for continuous nursing services,analyze the correlation,and provide a reference for formulating and implementing continuous nursing plans for diabetes in the later stage.Methods From May to December 2024,a cross-sectional survey was conducted among 294 patients with type 2 diabetes mellitus in this hospital by using the Self-Rating Anxiety Scale(SAS),the Diabetes Pa-tient-Specific Quality of Life Scale(DSQL),and the Questionnaire on the Need for Continuous Care.Results The SAS score of patients with type 2 diabetes was 45.76±7.45,DSQL score was 54.68±10.99,and the score of continuous care needs was 32.98±5.79.The quality of life of patients with type 2 diabetes mellitus is mainly influenced by factors such as age,family type,educational level,average monthly family in-come,duration of diabetes,blood glucose control,dietary compliance,intensity of physical exercise,and diabet-ic complications.The quality of life of patients with type 2 diabetes mellitus was positively correlated with need for continuous care(P<0.05).Conclusion The quality of life of patients with type 2 diabetes mellitus is influenced by multiple factors and is related to the need for continuous care.Professional continuous care plans can be formulated and implemented based on the needs of patients with type 2 diabetes mellitus.