Immune checkpoints include a series of receptor-ligand pairs that play a key role in the proliferation, activation, and immune regulatory responses of immune cells. Although immune checkpoint inhibitors (ICIs), such as programmed death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) have achieved good therapeutic effects in clinical practice, some patients still experience ineffective treatment and immune resistance. A large amount of evidence has shown that immune checkpoint proteins are related to cell metabolism during immune regulation. On the one hand, immune checkpoints connect to alter the metabolic reprogramming of tumor cells to compete for nutrients required by immune cells. On the other hand, immune checkpoints regulate the metabolic pathways of immune cells, such as phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) to affect the activation of immune cells. Based on a review of the literature, this article reviews the mechanisms by which PD-1, CTLA-4, T cell immunoreceptor with Ig and ITIM domains (TIGIT), T cell immunoglobulin and mucin domain-containing protein 3 (TIM-3), cluster of differentiation 47 (CD47), and indoleamine 2,3-dioxygenase 1 (IDO1) regulate cell metabolic reprogramming, and looks forward to whether targeting the ligand-receptor pairs of immune checkpoints in a "dual regulation" manner and inhibiting metabolic pathways can effectively solve the problem of tumor immune resistance.
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Humans ; Neoplasms/genetics* ; Metabolic Networks and Pathways/immunology* ; Animals ; Immune Checkpoint Inhibitors/pharmacology*

Amoenucles A-F (1-6), six previously undescribed nucleoside derivatives, and two known analogs (7 and 8) were isolated from the culture of Aspergillus amoenus TJ507. Their structures were elucidated through spectroscopic analysis, single-crystal X-ray crystallography, and chemical reactions. Notably, 3 and 4 represent the first reported instances of nucleosides with an attached pyrrole moiety. Of particular significance, the absolute configuration of the sugar moiety of 1-4 was determined using nuclear magnetic resonance (NMR), electric circular dichroism (ECD) calculations, and a hydrolysis reaction, presenting a potentially valuable method for confirming nucleoside structures. Furthermore, 1, 2, and 5-8 exhibited potential tumor necrosis factor α (TNF-α) inhibitory activities, which may provide a novel chemical template for the development of agents targeting autoimmune and inflammatory diseases.
Aspergillus/chemistry* ; Tumor Necrosis Factor-alpha/antagonists & inhibitors* ; Molecular Structure ; Nucleosides/isolation & purification* ; Crystallography, X-Ray ; Animals ; Humans ; Mice ; Magnetic Resonance Spectroscopy

(±)-Talapyrones A-F (1-6), six pairs of dimeric polyketide enantiomers featuring unusual 6/6/6 and 6/6/6/5 ring systems, were isolated from the fungus Talaromyces adpressus. Their structures were determined by spectroscopic analysis and HR-ESI-MS data, and their absolute configurations were elucidated using a modified Mosher's method and electronic circular dichroism (ECD) calculations. (±)-Talapyrones A-F (1-6) possess a 6/6/6 tricyclic skeleton, presumably formed through a Michael addition reaction between one molecule of α-pyrone derivative and one molecule of C₈ poly-β-keto chain. In addition, compounds 2/3 and 4/5 are two pairs of C-18 epimers, respectively. Putative biosynthetic pathways of 1-6 were discussed.
Polyketides/isolation & purification* ; Talaromyces/chemistry* ; Stereoisomerism ; Molecular Structure ; Circular Dichroism ; Pyrones/chemistry*

Objective:To establish and explore a novel model and its clinical application value based on abnormal des-gamma-carboxy prothrombin (DCP) for the early-stage diagnosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods:A total of 420 cases with chronic HBV infection with nodular liver lesions examined by imaging at the Third Hospital of Hebei Medical University from January 2021 to June 2024 were retrospectively selected. They were divided into the HBV-HCC group (182 cases) and the control group (238 cases) according to the current HCC diagnostic criteria. The basic information of patients, liver-related biochemical indicators, serum DCP, alpha-fetoprotein (AFP) levels, and the efficacy of combined detection in diagnosing early-stage HCC were collected and analyzed. A DSGAA model based on DCP (D) combined with gender (S), γ-glutamyl transferase (GGT, G), AFP (A) and age (A) as independent variables was constructed. The diagnostic performance of the novel model was compared with that of the traditional model through nomogram visualization output and calibration curve.Results:The age, sex, hemoglobin, albumin, alanine aminotransferase, alkaline phosphatase, and GGT levels were significantly higher in patients with HCC than those of the control group ( P<0.05). The positivity detection rate in patients with HBV-HCC was significantly higher in DCP than that of AFP (85.71% vs. 59.89%, P<0.05). The abnormal detection rate of DCP in patients with AFP-negative was 76.7%. The sensitivity for diagnosing HCC was significantly higher in DCP than AFP (73.63% vs. 64.29%, P<0.05), with specificity of 83.6% in all. The specificity for diagnosing early-stage HCC was 89.09%, surpassing that of AFP at 68.06% ( P<0.05). The area under the receiver operating characteristic curve (AUC) for the constructed DSGAA diagnostic model was 0.8841, with an optimal cutoff value of 0.377, a sensitivity of 80.22%, and a specificity of 86.13%. The AUC for diagnosing early-stage HCC was 0.8122, with a sensitivity of 66.18%, and a specificity of 86.13%, and the diagnostic efficacy was higher than other models ( P<0.05). Conclusion:DCP has superior diagnostic efficacy for HBV-related HCC, and the DSGAA model is expected to be used as a new method for screening and diagnosing early-stage HBV-related HCC.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To establish and explore a novel model and its clinical application value based on abnormal des-gamma-carboxy prothrombin (DCP) for the early-stage diagnosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Methods:A total of 420 cases with chronic HBV infection with nodular liver lesions examined by imaging at the Third Hospital of Hebei Medical University from January 2021 to June 2024 were retrospectively selected. They were divided into the HBV-HCC group (182 cases) and the control group (238 cases) according to the current HCC diagnostic criteria. The basic information of patients, liver-related biochemical indicators, serum DCP, alpha-fetoprotein (AFP) levels, and the efficacy of combined detection in diagnosing early-stage HCC were collected and analyzed. A DSGAA model based on DCP (D) combined with gender (S), γ-glutamyl transferase (GGT, G), AFP (A) and age (A) as independent variables was constructed. The diagnostic performance of the novel model was compared with that of the traditional model through nomogram visualization output and calibration curve.Results:The age, sex, hemoglobin, albumin, alanine aminotransferase, alkaline phosphatase, and GGT levels were significantly higher in patients with HCC than those of the control group ( P<0.05). The positivity detection rate in patients with HBV-HCC was significantly higher in DCP than that of AFP (85.71% vs. 59.89%, P<0.05). The abnormal detection rate of DCP in patients with AFP-negative was 76.7%. The sensitivity for diagnosing HCC was significantly higher in DCP than AFP (73.63% vs. 64.29%, P<0.05), with specificity of 83.6% in all. The specificity for diagnosing early-stage HCC was 89.09%, surpassing that of AFP at 68.06% ( P<0.05). The area under the receiver operating characteristic curve (AUC) for the constructed DSGAA diagnostic model was 0.8841, with an optimal cutoff value of 0.377, a sensitivity of 80.22%, and a specificity of 86.13%. The AUC for diagnosing early-stage HCC was 0.8122, with a sensitivity of 66.18%, and a specificity of 86.13%, and the diagnostic efficacy was higher than other models ( P<0.05). Conclusion:DCP has superior diagnostic efficacy for HBV-related HCC, and the DSGAA model is expected to be used as a new method for screening and diagnosing early-stage HBV-related HCC.

Renal cell carcinoma is one of the significant diseases endangering human health. Recent findings have shown that the human microbiome plays an important role in the occurrence and development of renal cell carcinoma, influencing its regression and treatment outcome. At present, microecological research on renal cell carcinoma are still in their initial stages, and their regulatory roles and specific mechanisms still need to be further explored. This article reviews the relationship between the human microbiome and renal cell carcinoma occurrence and development, as well as its role in diagnosis and therapies.

SWOT-PEST model was used to analyze the internal advantages and disadvantages,external,opportunities and challenges of tertiary public pediatric hospitals.Based on stakeholder theory,through the literature review method,policy analysis method,combined with the actual work,and summarize its main role and demands.Put forward the development strategy of three-level public pediatric specialty hospital.Through the analysis of interest demands of stakeholders of tertiary public pediat-ric specialty hospitals,the overall development is good at present,but there are still problems that need to be solved urgently.From the perspective of internal and external stakeholders,the optimization strategy involving multiple levels,multiple angles and multiple subjects is proposed to promote the comprehensive development of tertiary public pediatric specialty hospitals.

From the perspectives of traditional Chinese medicine （TCM） information knowledge base and assisted decision-making knowledge base， the construction status， quality evaluation status and existing problems of current TCM knowledge bases have been sorted out. And based on the quality evaluation strategies and dimensions of know-ledge bases in other disciplines， the evaluation indexes for TCM knowledge base is discussed， and the evaluation framework is initially formed， providing ideas for the improvement of the TCM knowledge base evaluation system. In terms of the evaluation indexes， there are basic evaluation dimensions which include data sources， data collection， and data application. The specific evaluation dimension of the information-based knowledge base is data quality， while that of the assisted decision-making knowledge base is data matching. Except for the data application dimension which counts the valid data items in the database for calculation， other indexes are scored based on the qualitative evaluation of "yes"， "no" or "unknown". The basic evaluation score and the specific evaluation score are added to obtain the total score. The knowledge base is graded according to the score， and the results are presented in the form of grade plus number.