This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Objective To explore the characteristics and influencing factors of complicated intra-abdominal infection in ICU patients after abdominal surgery.Methods A retrospective study was performed on ICU patients(n=92,observation group)developing complicated intra-abdominal infection after abdominal surgery versus patients(n=104,control group)without complicated intra-abdominal infection after abdominal surgery in our hospital from January 2020 to December 2023.The characteristics of patients who developed complicated intra-abdominal infections were analyzed and the relevant influencing factors were identified using multivariate Logistic regression analysis.Results A total of 124 strains of pathogenic bacteria were isolated and identified in 92 infected patients,with 64.52％(80/124)of Gram-negative strains comprising mainly 29.03％(36/124)of Escherichia coli,25.81％(32/124)of Gram-positive strains comprising mainly 12.90％(16/124)of Enterococcus faecalis,and 9.68％(12/124)of fungi comprising mainly 6.45％(8/124)of Candida albicans.Multivariate Logistic regression results showed that preoperative underlying disease,surgical methods,duration of surgery,invasive procedures,antibiotic use,and length of ICU stay,enteral nutrition were the influencing factors of complicated intra-abdominal infection in ICU patients after abdominal surgery(P＜0.0 5).Conclusion Patients with complicated intra-abdominal infection are infected with a variety of pathogenic bacteria,predominantly Gram-negative.The patient's preoperative underlying disease,surgical approach,duration of surgery,invasive procedures,use of antibiotics,length of ICU stay,and early enteral nutrition all affect the risk of complicated intra-abdominal infection in ICU patients after abdominal surgery.

AIM To explore the clinical effects of Tongfu Jiangzhuo Formula on ICU delirium patients with Internal Accumulation of Turbid Toxins.METHODS Based on Turbid Toxins theory,two hundred and ten patients were randomly assigned into control group(105 cases)for intervention of conventional treatment,and observation group(105 cases)for intervention of both Tongfu Jiangzhuo Formula and conventional treatment.The changes in clinical effects,delirium scores(CAM-ICU,ICDSC),TCM syndrome score,inflammatory factors(IL-1β,IL-6,IL-8),Raf-1,MEK-2,ERK-1 mRNA and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups displayed decreased delirium scores,TCM syndrome score,inflammatory factors and Raf-1,MEK-2,ERK-1 mRNA(P＜0.05),especially for the observation group(P＜0.05).No significant difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with ICU delirium due to Internal Accumulation of Turbid Toxins,Tongfu Jiangzhuo Formula can safely and effectively improve symptoms,and reduce inflammation levels and Raf-1,MEK-2,ERK-1 mRNA expressions.

Objective:To explore the experience of emotion management and program needs of patients with vasovagal syncope (VVS) from the doctor-nurse-patient perspective.Methods:This study was a phenomenological study in qualitative research. Using purposive sampling method, four medical specialists, four nursing specialists, and 10 patients with VVS from the Syncope Center of Shanghai East Hospital, Tongji University were selected from March to May 2024 for semi-structured interviews. Colaizzi's phenomenological data analysis was used to analyze the data.Results:Theme 1 was the initial perception and experience of emotion management, in which the doctor-nurse perspective included two sub-themes of emotion management met the actual needs of clinical patients and the management program was too specialized and unknown, and the patient perspective included three sub-themes of differences in the ability of individuals to recognize their own emotional state, lack of knowledge related to emotion management, and lack of social support. Theme 2 was the need for emotion management programs, in which the doctor-nurse perspective involved two sub-themes of multidisciplinary cooperation, suitable for clinical operation and follow-up, and the combination of online and offline, and in-hospital and out-of-hospital linkage, and the patient perspective involved two sub-themes of the need for healthcare guidance, easy to operate, and the diversification of forms, personalization, and meeting the needs of different populations.Conclusions:The content of emotion management is relatively unknown to doctors, nurses and patients, and even more so to patients. VVS emotion management work is still in its infancy, and emotion management as a branch of rehabilitation needs to be emphasized for its development, and psychological assessment and intervention work should be incorporated into the routine of syncope rehabilitation.

Objective To explore the characteristics and influencing factors of complicated intra-abdominal infection in ICU patients after abdominal surgery.Methods A retrospective study was performed on ICU patients(n=92,observation group)developing complicated intra-abdominal infection after abdominal surgery versus patients(n=104,control group)without complicated intra-abdominal infection after abdominal surgery in our hospital from January 2020 to December 2023.The characteristics of patients who developed complicated intra-abdominal infections were analyzed and the relevant influencing factors were identified using multivariate Logistic regression analysis.Results A total of 124 strains of pathogenic bacteria were isolated and identified in 92 infected patients,with 64.52％(80/124)of Gram-negative strains comprising mainly 29.03％(36/124)of Escherichia coli,25.81％(32/124)of Gram-positive strains comprising mainly 12.90％(16/124)of Enterococcus faecalis,and 9.68％(12/124)of fungi comprising mainly 6.45％(8/124)of Candida albicans.Multivariate Logistic regression results showed that preoperative underlying disease,surgical methods,duration of surgery,invasive procedures,antibiotic use,and length of ICU stay,enteral nutrition were the influencing factors of complicated intra-abdominal infection in ICU patients after abdominal surgery(P＜0.0 5).Conclusion Patients with complicated intra-abdominal infection are infected with a variety of pathogenic bacteria,predominantly Gram-negative.The patient's preoperative underlying disease,surgical approach,duration of surgery,invasive procedures,use of antibiotics,length of ICU stay,and early enteral nutrition all affect the risk of complicated intra-abdominal infection in ICU patients after abdominal surgery.

This review delves into the pivotal role of necrotic apoptosis in Alzheimer's disease(AD),with a focus on treatment strategies,drug development,prospects,and challenges,highlighting its significance in the progression of the disease.Firstly,necrotic apoptosis plays a crucial role in the pathogenesis of AD,particularly in association with the abnormal metabolism of β-amyloid(Aβ)and Tau proteins.The primary focus of drug design is to regulate the metabolism pathways of these two proteins to slow down or inhibit the progression of necrotic apoptosis.Secondly,the progress in drug development further emphasizes the importance of necrotic apoptosis in treating AD.Current research mainly focuses on drugs that affect the metabolism of Aβ and Tau proteins,such as lecanemab.Still,inconsistent result underscore the necessity for a more comprehensive understanding of the molecular mechanisms of necrotic apoptosis.Finally,the prospects and challenges of necrotic apoptosis research in AD are thoroughly discussed.A deeper understanding of necrotic apoptosis contributes to a better comprehension of the pathological mechanisms of AD but also may reveal new therapeutic targets.However,challenges such as multifactorial influences and the selection of treatment timing necessitate further in-depth research in the future.In conclusion,this review advocates for future research to deepen the understanding of the molecular mechanisms of necrotic apoptosis,enhance research on treatment strategies,gain a deeper understanding of its cross-regulation with other cell death pathways,and promote collaboration between basic research and clinical practice to advance the comprehensive understanding and treatment of Alzheimer's disease and necrotic apoptosis.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

Objective:To explore the mechanism of curcumin (Cur) in intervening leukemia based on transcriptomics and network pharmacology.Methods:(1) Cell proliferation experiment: Leukemia MV-4-11 cells were cultured in vitro and divided into the control group (DMSO), 15 μmol/L curcumin group (Cur 15 μmol/L), and 20 μmol/L curcumin group (Cur 20 μmol/L). The CFSE method by flow cytometry was used to determine the inhibitory effect of curcumin on the growth of leukemia MV-4-11 cells at 0, 24, and 48 hours. (2) Network pharmacology analysis: the Smiles number of curcumin was obtained using the PubChem database. The targets of curcumin were retrieved from SwissTargetPrediction, SEA, TTD, and CTD platforms. Leukemia-related targets were screened using Genecards, OMIM, TTD, and CTD databases, and the intersection targets of curcumin-leukemia were further collected. (3) Transcriptomics and network pharmacology analysis: RNA from MV-4-11 cells in the control group and Cur group was collected, transcriptome sequencing was performed, and the common targets of differential genes in network pharmacology and transcriptomics were collected. The STRING website and Cytoscape software were used to construct a protein-protein interaction (PPI) network for the intersection targets. The David database and micro-bioinformatics were used for enrichment analysis based on gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Finally, the core targets and main pathways of curcumin in anti-leukemia were screened out.Results:(1) Compared with the control group, 15 μmol/L and 20 μmol/L curcumin significantly inhibited the proliferation of MV-4-11 cells (all P<0.05). (2) Network pharmacology analysis showed 1 209 curcumin drug targets and 7 702 leukemia-related targets, with 901 intersection targets for curcumin′s anti-leukemia effect. (3) Transcriptome sequencing showed 14 714 genes expressed in the curcumin group and 13 689 genes in the control group, with a total of 3 064 differentially expressed genes, including 2 189 up-regulated genes and 875 down-regulated genes. There were 182 intersection targets between network pharmacology and transcriptomics. KEGG enrichment results indicated that the anti-leukemia targets of curcumin were mainly related to cancer signaling pathways, phosphatidylinositol-3-kinase signaling pathway (PI3K-Akt) signaling pathway, and mitogen-activated protein kinase (MAPK) signaling pathway. Conclusions:This study obtained the gene expression profile of curcumin acting on leukemia and elaborated the molecular mechanism of inhibiting leukemia cell proliferation, which is mainly involved in cancer signaling pathways, PI3K-Akt signaling pathway, MAPK signaling pathway, etc., indicating that the inhibitory effect of curcumin on leukemia is multi-faceted and multi-level.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

This review is based on the research progress and challenges of immune checkpoint inhibitors (ICIs) in the treatment of hepatocellular carcinoma (HCC). ICIs block the PD-1/PD-L1 and CTLA-4 pathways; thereby reactivate the body’s anti-tumor immune response, providing a new therapeutic option for patients with advanced HCC. However, the effect of ICIs is still compromised by factors such as primary and acquired resistance, immune-related adverse events and tumor microenvironment inhibition. This reveiw deeply analyzes these key mechanisms that affect the efficacy of ICIs, and proposes strategies to optimize the treatment, including combination with targeted therapy, chemotherapy and radiotherapy, modulation of tumor microenvironment, and the development of novel biomarkers. Future research should focus on personalized treatment that integrates the molecular and immunological characteristics of patients to enhance the precision and efficacy of ICIs therapy for patients with HCC.