ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

Objective:To investigate the risk factors of pleural effusion after spinal separation surgery for patients with spinal metastatic tumors.Methods:A total of 427 patients with spinal metastatic tumors from January 2014 to January 2022 in the Second Affiliated Hospital of Zhejiang University School of Medicine were retrospectively analyzed. There were 252 males and 175 females, with an average age of 59±12 years (range, 15-87 years). All patients underwent separation surgery. Based on the chest CT within 1 month after surgery, the volume of pleural effusion was measured individually by reconstruction software. Pleural effusion was defined as small volume (0-500 ml), moderate volume (500-1 000 ml), and large volume (above 1 000 ml). Baseline data and perioperative clinical outcomes were compared between the groups, and indicators with statistically significant differences were included in a binary logistic regression analysis to determine the independent risk factors for the development of pleural effusion after isolation of spinal metastatic cancer. Receiver operating characteristic (ROC) curves were conducted to calculate the area under the curve (AUC) for each independent risk factor.Results:All patients successfully completed the operation. Among the 427 patients, there were 35 cases of large pleural effusion, 42 cases of moderate pleural effusion, and 350 cases of small pleural effusion. There were significant differences in tumor size (χ 2=9.485, P=0.013), intraoperative blood loss ( Z=-2.503, P=0.011), blood transfusion ( Z=-2.983, P=0.003), preoperative total protein ( Z=2.681, P=0.007), preoperative albumin ( Z=1.720, P= 0.085), postoperative hemoglobin ( t=2.950, P=0.008), postoperative total protein ( Z=4.192, P<0.001), and postoperative albumin ( t=2.268, P=0.032) in the large pleural effusion group versus the small and moderate pleural effusion group. Logistic regression analysis showed that decreased preoperative albumin ( OR=0.89, P=0.045) and metastases located in the thoracic spine ( OR=4.01, P=0.039) were independent risk factors for the occurrence of large pleural effusion after separation surgery. The ROC curve showed that the AUC and 95% CI for preoperative albumin, lesion location, and the combined model were 0.637 (0.54, 0.74), 0.421 (0.36, 0.48), and 0.883 (0.81, 0.92). The combined predictive model showed good predictive value. Conclusion:The volume of pleural effusion can be measured individually and quantitatively based on chest CT. Decreased preoperative albumin and metastases located in the thoracic spine are independent risk factors for the occurrence of large pleural effusion after separation surgery. The combined prediction of the two factors has better predictive efficacy.

ObjectiveThe absorption of substances into blood is mainly dependent on the mesenteric lymphatic pathway and the portal venous pathway. The substances transported via the portal venous pathway can be metabolized by the biotransformation in the liver. On the contrary, the substances in the mesenteric lymph fluid enter the blood circulation without biotransformation and can affect the body directly. Alcohol consumption is strongly linked to global health risk. Previous reports have analyzed the changes of metabolites in plasma, serum, urine, liver and feces after alcohol consumption. Whether alcohol consumption affects the metabolites in lymph fluid is still unknown. Therefore, it is particularly important to explore the changes of substances transported via the mesenteric lymphatic pathway and analyze their harmfulness after alcohol drinking. MethodsIn this study, male Wistar rats were divided into high, medium, and low-dosage alcohol groups (receiving Chinese Baijiu at 56%, 28% and 5.6% ABV, respectively) and water groups. The experiment was conducted by alcohol gavage lasting 10 d, 10 ml·kg^-1·d^-1. Then mesenteric lymph fluid was collected for non-targeted metabolomic analysis by using liquid chromatography-mass spectrometry (LC-MS) and bioinformatic analysis. Principal component analysis and hierarchical clustering were performed by using Biodeep. Meanwhile, KEGG enrichment analysis of the differential metabolites was also performed by Biodeep. MetaboAnalyst was used to analyze the relationship between the differential metabolites and diseases. ResultsThe metabolites in the mesenteric lymph fluid of the high-dosage alcohol group change the most. Based on the KEGG enrichment analysis, the pathways of differential metabolites between the high-dosage alcohol group and the control group are mainly enriched in the central carbon metabolism in cancer, bile secretion, linoleic acid metabolism, biosynthesis of unsaturated fatty acids, etc. Interestingly, in the biosynthesis of unsaturated fatty acids category, the content of arachidonic acid is increased by 7.25 times, whereas the contents of palmitic acid, oleic acid, stearic acid, arachidic acid and erucic acid all decrease, indicating lipid substances in lymph fluid are absorbed selectively after alcohol intake. It’s worth noting that arachidonic acid is closely related to inflammatory response. Furthermore, the differential metabolites are mainly related with schizophrenia, Alzheimer’s disease and lung cancer. The differential metabolites between the medium-dosage alcohol and the control group were mainly enriched in phenylalanine metabolism, valine, leucine and isoleucine biosynthesis, linoleic acid metabolism and cholesterol metabolism. The differential metabolites are mainly related to schizophrenia, Alzheimer’s disease, lung cancer and Parkinson’s disease. As the dose of alcohol increases, the contents of some metabolites in lymph fluid increase, including cholesterol, L-leucine, fumaric acid and mannitol, and the number of metabolites related to schizophrenia also tends to increase, indicatingthat some metabolites absorbed by the intestine-lymphatic pathway are dose-dependent on alcohol intake. ConclusionAfter alcohol intake, the metabolites transported via the intestinal-lymphatic pathway are significantly changed, especially in the high-dosage group. Some metabolites absorbed via the intestinal-lymphatic pathway are dose-dependent on alcohol intake. Most importantly, alcohol intake may cause inflammatory response and the occurrence of neurological diseases, psychiatric diseases and cancer diseases. High-dosage drinking may aggravate or accelerate the occurrence of related diseases. These results provide new insights into the pathogenesis of alcohol-related diseases based on the intestinal-lymphatic pathway.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.

Adriamycin/Doxorubicin(DOX)is a representative drug of anthracycline antitumor antibiotics and its main adverse reaction is cardiotoxicity,which seriously affects the clinical ap-plication of adriamycin and the quality of life of patients.Mito-chondrial dysfunction is an important pathologic mechanism of adriamycin-related cardiotoxicity.The heart is a highly energy-consuming organ,which contains abundant mitochondria to sup-port the energy needs of cardiomyocytes.The body maintains mi-tochondrial homeostasis through quality control mechanisms such as mitophagy,mitochondrial fusion/fission,mitochondrial bio-synthesis and mitochondrial unfolded protein response.Numer-ous studies have shown that adriamycin cardiotoxicity is associat-ed with the disruption of the mitochondrial quality control system in cardiomyocytes and that reconstruction of mitochondrial quali-ty control homeostasis can mitigate adriamycin-associated myo-cardial injury.This article addresses the role of disturbances in the myocardial mitochondrial quality control system in DOX myo-cardial injury and its underlying mechanisms and explores whether targeting mitochondrial quality control is a potential strategy for the treatment of DOX cardiomyopathy.

Objective To evaluate the feasibility of emergency percutaneous coronary intervention(PCI)with extracorporeal membrane oxygenation(ECMO)support in critically ill patients with acute myocardial infarction(AMI)and cardiogenic shock(CS).Methods Retrospective analysis of clinical data of AMI combined with CS patients admitted to the department of emergency of the Second Hospital of Hebei Medical University from December 2018 to December 2021,including gender,age,body mass index(BMI),past history(smoking,coronary heart disease,arrhythmia,diabetes,hypertension,hyperlipidemia,cerebrovascular disease);acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,highest vasoactive-inotropic score(VIS)within 24 hours of admission,the worst auxiliary examination values within 24 hours after admission:blood lactic acid(Lac),arterial partial pressure of oxygen(PaO2),cardiac troponin I(cTnI),alanine aminotransferase(ALT),total bilirubin(TBil),creatinine(Cr),serum potassium,left ventricular end-diastolic diameter(LVEDD),left ventricular ejection fraction(LVEF)],presence of malignant arrhythmia or cardiac arrest during emergency PCI,completion of PCI,and the 30-day prognosis,etc.Patients were divided into an ECMO group and a non-ECMO group based on whether ECMO was applied,to analyze differences in the above indicators between the two groups.Results There were no statistically significant differences between the ECMO group and the non-ECMO group in terms of gender,age,BMI,past history,APACHEⅡ,VIS and the worst auxiliary examination value within 24 hours after admission.The incidence of malignant arrhythmia or cardiac arrest events and 30-day mortality rate during emergency PCI in the ECMO group were significantly lower than those in the non-ECMO group[the incidence of malignant arrhythmia or cardiac arrest during emergency PCI was 17.9％(7/39)vs.45.0％(9/20),and the 30-day mortality was 46.2％(18/39)vs.75.0％(15/20),both P<0.05].The completion rate of PCI in the ECMO group was significantly higher than that in the non-ECMO group[100.0％(39/39)vs.80.0％(16/20),P<0.05].Conclusions For critically ill patients with AMI combined with CS,ECMO support can reduce the risk of malignant arrhythmia or cardiac arrest during emergency PCI,increase the completion rate of PCI,and reduce the 30-day mortality.With the support of the ECMO team,ECMO support emergency PCI is feasible.

Objective:To examine the potential of combining the blood urea nitrogen(BUN)/albumin(ALB)ratio(BAR)with soluble growth stimulation expressed gene 2(sST2)as an early warning indicator for myocardial injury in elderly patients with sepsis in the emergency intensive care unit(EICU).Methods:The clinical data of elderly patients with sepsis admitted to the EICU of the Emergency Medicine Department at Harrison International Peace Hospital of Hebei Medical University from August 2018 to August 2022 were prospectively analyzed.The patients were divided into two groups based on the presence or absence of myocardial injury: the myocardial injury group and the non-myocardial injury group.The general clinical data and laboratory indexes of the two groups were compared, and the BAR was calculated.The correlation between BAR and myocardial injury in elderly patients with sepsis was analyzed.Binary Logistic regression analysis was used to identify the risk factors for myocardial injury in elderly patients with sepsis in the EICU.MedCalc software was employed to determine the early warning value of the combined sST2 and BAR for myocardial injury in elderly patients with sepsis in the EICU.Results:A total of 165 cases were analyzed, with 106 cases(64.24%)showing myocardial injury.It was found that elderly sepsis patients with lung and abdominal infection were more likely to experience myocardial injury( P<0.05 for all).In comparison to the group without myocardial injury, the levels of inflammatory markers such as white blood cell count(WBC), neutrophil to lymphocyte ratio(NLR), lactic acid, and procalcitonin(PCT), as well as combined markers BAR and sST2, were higher in elderly sepsis patients with myocardial injury upon admission.Correlation analysis results revealed significant positive correlations between BAR and lactic acid, PCT, and C-reactive protein(CRP)within 24 hours of admission to EICU in elderly sepsis patients with myocardial injury.Among these correlations, the strongest was observed between BAR and PCT( r=0.417, P<0.001).Additionally, BAR exhibited a positive correlation with acute physiology and chronic health evaluation scoring system(APACHEⅡ)scores( r=0.241, P=0.002).Furthermore, BAR showed positive correlations with myocardial injury markers sST2 and cTnI( r=0.327, 0.307, P<0.05 for all).Logistic regression analysis revealed that septic shock( OR=2.406, P=0.008), decreased left ventricular ejection fraction(EF)( OR=0.939, P=0.015), BAR( OR=2.205, P=0.044), lactic acid( OR=1.137, P=0.014), and sST2 elevation( OR=1.016, P=0.020)were identified as independent risk factors for predicting myocardial injury in elderly patients with sepsis.The results of ROC analysis indicated that BAR had a high early warning value for the occurrence of myocardial injury in elderly patients with EICU sepsis[area under curve(AUC)0.651, P<0.05], with an optimal cut-off value of 0.32(sensitivity 77.4%, specificity 60.2%).Furthermore, the combined detection of BAR and sST2 demonstrated a higher early warning value for the occurrence of myocardial injury in elderly patients with sepsis(AUC 0.697, P<0.05).The mortality rate of patients with myocardial injury below a cut-off value of 0.32 was 36.00%(9/25), while the mortality rate of patients with myocardial injury equal to or above 0.32 was 66.67%(54/81).The difference between the two groups was statistically significant( χ2=8.624, P=0.003). Conclusions:Both BAR and sST2 are considered independent risk factors for myocardial injury in elderly patients with sepsis.The combined detection of BAR and sST2 provides a more accurate prediction for the occurrence of myocardial injury in these patients.

As a key epigenetic regulator, histone deacetylases (HDACs) play a crucial role in cancer development. Small molecule HDAC inhibitors have been shown to inhibit tumor proliferation and induce apoptosis, attracting significant research attention. In this study, we designed and synthesized a series of novel saccharin derivatives as HDAC inhibitors. Biological experiments demonstrated that the target compound 9a exhibited superior HDACs inhibition activity to vorinostat and demonstrating promising in vitro and in vivo anti-tumor activity against triple-negative breast cancer (TNBC). All animal experiments in this study were performed in strict accordance with the protocols approved by the Ethical Committee of School of Pharmaceutical Sciences in Shandong University (Approval No. 230094). This work represents an initial exploration of developing saccharin-based HDAC inhibitors, and the active compound 9a could serve as a lead compound for further study.