ObjectiveTo analyze the long-term trend of incidence and mortality of type 2 diabetic kidney disease （DKD） in China from 1990 to 2021. MethodsThe Joinpoint regression model was used to analyze the average annual percentage change （AAPC） of standardized incidence rate and standardized mortality rate， and the age-period-cohort （APC） model was constructed to analyze the longitudinal age change， period and cohort effect risk ratio （RR）. ResultsFrom 1990 to 2021， the standardized incidence rate of type 2 DKD in males and females showed an overall upward trend， with AAPC of 0.08% and 0.36%， respectively. The age-standardized mortality rate of the total population and female showed a downward trend， with AAPC of -0.61% and -1.03%， respectively. However， there was no significant difference in males. APC model showed that the age effect existed： the peak age was 75-79 years old， the mortality rate of females increased， and the mortality rate of males decreased after 80-84 years old. For the effect of time period， the risk of type 2 DKD incidence in females in 2017—2021 was 1.05 times that in 2002—2006， and the risk of death in males and females in 2017—2021 was 0.84 and 0.71 times that in 2002—2006， respectively. For cohort effects， the highest risk of disease was seen in men and women born in 1967—1971， and the highest risk of death was seen in men born in 1952—1956 and women born in 1912—1916. ConclusionFrom 1990 to 2021， the standardized incidence rate of type 2 DKD in China shows an upward trend， and the standardized mortality rate shows a downward trend. It is necessary to strengthen the health behavior publicity and education of type 2 DKD， and actively carry out early screening to reduce the disease burden.

Objective:To analyze the relationship between the expression level of calumenin(CALU)and the prognosis of hepatocellular carcinoma(HCC)patients by bioinformatics tools and establish the prognostic prediction nomogram,and to clarify its possible mechanism.Methods:The data of 374 HCC tissue samples were downloaded from The Cancer Genome Atlas(TCGA)database and the data of 160 normal tissue samples were down loaded from Genotype-Tissue Expression(GTEx)database.Paired sample t-test was used to analyze the difference in CALU expression between the HCC tissue samples and the paired adjacent normal tissue samples.Human Protein Atlas(HPA)database was used to verify the results.DESeq2 package was used to screen the differentially expressed genes(DEGs)between CALU low expression group and CALU high expression group in the HCC tissue samples.R package pROC was used to analyze the receiver operating characteristic(ROC)curve.Univariate and multivariate Cox regression analyses were used to confirm the prognosis value of CALU in the HCC patients with different clinicopathological characteristics,and ggplot2 package was used to construct the forest plot.R packages rms and survival were used to construct the nomogram and its calibration curve,and the diagnostic value of CALU in distinguishing HCC tissue from normal tissue was analyzed.The data from Kaplan-Meier Plotter database were used to further verify the relationship between CALU and the prognosis of HCC patients.The gene transcriptional expression data of 216 HCC samples obtained from GSE14520 dataset were used to verify the prediction accuracy of the nomogram.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were used to determine the function and enrichment pathways of the DEGs,and Gene Set Enrichment Analysis(GSEA)was used to obtain the significantly enriched gene sets of the DEGs.Single-cell sequencing data of 10 HCC tissue samples and 8 adjacent normal tissue samples obtained from GSE149614 dataset were used to verify the relationship between CALU and the prognosis of HCC patients and its mechanism.Results:Compared with normal tissue,the expression level of CALU mRNA in HCC tissue was significantly increased(P＜0.001),and the expression level of CALU protein in HCC samples was also increased.A total of 928 DEGs were identified between CALU low expression group and CALU high expression group in the HCC samples,including 784 upregulated DEGs and 144 downregulated DEGs.The ROC analysis results indicated that CALU showed high diagnostic value in distinguishing cancer tissue from adjacent non-cancer tissue with an area under curve(AUC)of 0.839.Kaplan-Meier survival analysis showed that the survival rate of HCC patients in CALU high expression group was significantly lower than that in CALU group low expression(P＜0.001).Univariate and multivariate Cox regression analyses results demonstrated that high expression of CALU was an independent risk factor of the prognosis in HCC patients,and a prognosis prediction nomogram was constructed.The applicability of nomogram on the prognosis of HCC was verified by GSE14520 dataset.The GO enrichment analysis results showed that DEGs were mainly enriched in pathways related to the oxidative stress,ferroptosis and cuproptosis(P＜0.05).The KEGG enrichment analysis results showed that DEGs were mainly enriched in the pathways related to extracellular matrix(ECM)receptor interaction,linoleic acid metabolism and neuroactive ligand receptor interaction(P＜0.05).The GSEA results showed that high expression of CALU may promote the G1-S phase transition of the cell cycle,ubiquitination protein polymerization and HCC progression,while low expression of CALU may activate oxidative stress,ferroptosis and cuproptosis in HCC cells.Single-cell sequencing analysis results showed that the expression level of CALU mRNA was significantly increased in HCC cells with advanced tumor stages.HCC_CALU_High cell subset was mainly related to ubiquitination,p53 and cell cycle(P＜0.01),and HCC_CALU_Low cell subset was mainly related to oxidative stress,ferroptosis,and histone binding(P＜0.01).Conclusion:The high expression of CALU may be related to the poor prognosis of HCC patients.The constructed nomogram of HCC prognosis shows favourable effect in predicting the survival rate of the HCC patients.The up-regulation of CALU may promote HCC progression by regulating the G1-S phase of the cell cycle and ubiquitination of protein,while down-regulation of CALU may inhibit HCC progression by inducing oxidative stress,ferroptosis and cuproptosis in cells.

Type 2 diabetes mellitus(T2DM)is a metabolic disease characterized by insulin resistance,and is one of the most common chronic non-communicable diseases worldwide.In the field of traditional Chinese medicine(TCM),yang deficiency causing diabetes is one of the important pathogenetic mechanisms of T2DM and contributes to the core pathological basis of insulin resistance.Guided by the theory of yang deficiency causing diabetes,this paper reviewed the relevant domestic literature issued in recent years,sorted out western medical pathogenesis and treatment for insulin resistance in T2DM,TCM theory of yang deficiency causing diabetes and its clinical application,and the clinical efficacy of TCM for the treatment of insulin resistance,and then explored the applicability of theory of yang deficiency causing diabetes for TCM treatment of insulin resistance in T2DM.It is concluded that TCM treatment for insulin resistance in T2DM based on the theory of yang deficiency causing diabetes has significant efficacy and advantages,for it realizes the integration of advantages of TCM and western medicine and achieves the synergistic actions through keeping the scientific nature and standardization of western medicine and by maintaining the advantages of holism and individualization of TCM treatment.TCM treatment for insulin resistance is effective on improving insulin signal transduction,insulin secretion function and other related metabolic abnormalities indicators through multiple pathways and targets,thus to improve the health status of the body.TCM treatment for insulin resistance exerts good safety and tolerance,and can reduce the incidence of adverse reactions caused by western medicine.However,the research on TCM treatment for insulin resistance still has the insufficiencies such as low quality of clinical trials,unclear therapeutic mechanism,and lack of innovation and pioneering.Further relevant research needs to be carried out in-depth,so as to provide a scientific basis for TCM to play a greater role in preventing and treating metabolic diseases.

Although the incidence of each individual type of rare tumor is relatively low, their cumulative impact affects a vast patient population, and their survival prognosis is significantly worse than that of common tumors. In recent years, China has made remarkable progress in clinical research on rare tumors, with a rapid increase in the number of studies and a diversified exploration of treatment modalities. However, clinical research on rare tumors still faces numerous challenges, such as uneven distribution of medical resources, the absence of a foundational registration system, and insufficient motivation for original research and development. Looking ahead, key measures including specialized development, a national collaborative group model, full utilization of real-world data, application of novel clinical research designs, and artificial intelligence technologies will strongly drive comprehensive advancements in China′s rare tumor prevention and treatment system.

Pancreatic acinar cell carcinoma (PACC) is a rare exocrine tumor of the pancreas with distinct clinical and pathological features. In recent years, advancements in molecular biology techniques have led to a deeper understanding of the molecular mechanisms underlying PACC. Progress in imaging, endoscopic, and molecular diagnostic technologies has improved the early detection rate of PACC. The primary treatment modalities for PACC include surgical resection, chemotherapy, targeted therapy and immunotherapy; however, the therapeutic efficacy still requires further improvement. This article reviews the current research status of PACC, covering its epidemiology, pathological characteristics, molecular alterations, diagnostic methods, and treatment strategies, and discusses the controversies and future directions in PACC research.

Influenza viruses can infect humans, lead to epidemics within populations, and even cause global pandemics. During the non-pandemic period, there is a continuous threat as avian or swine influenza viruses cross the species barrier to infect humans, resulting in zoonotic influenza infections. For the purpose of pandemic preparation and control, it is crucial to strengthen surveillance, scientific research, and risk assessment of these zoonotic influenza viruses. Here, we focus on the latest zoonotic influenza viruses that have recently garnered significant attention, providing an overview of their latest epidemiological trends and research progress, thereby facilitating scientific risk assessment.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

Objective To investigate the clinical application of perioperative human serum albumin(HSA)in cardiac surgery in multiple regions in China,and to evaluate the rationality of its clinical application in conjunction with the clinical guidelines,in order to provide a reference for promoting the rational application of HSA.Methods The medical records of patients who underwent cardiac surgery from April to June 2019 in eight hospitals across the country were retrospectively collected.The statistical information on patients'general information,the dosage,course of treatment,and cost of HSA,and the serum albumin level before and after medication was analyzed to evaluate the use of HSA.Relevant evaluation criteria were established,and the rationality of its medication was evaluated.Results Data from a total of 449 patients were included for analysis,the appropriate rate of medication was 81.1％.The course of medication was mostly＞2-5 days and the total amount of HSA was mostly 50-99 g.The main purpose of medicaiton were improving colloid osmotic pressure,reducing exudation to improve interstitial edema,postoperative volume expansion.Conclusion Clinical attention should be paid to ensure the rational application of HSA in cardiac surgery during the perioperative period and prevent the abuse of blood products.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

OBJECTIVE: To evaluate the predictive value of plasma heparin-binding protein (HBP) combined with albumin (Alb) for predicting 28-day mortality in patients with sepsis. METHODS: The clinical data of patients with sepsis admitted to the emergency intensive care unit (EICU) of the People's Hospital of Shenzhen Baoan District from March 2020 to March 2024 were retrospectively analyzed. The study began at the time of the first diagnosis of sepsis upon EICU admission and ended upon patient death or at 28 days. The gender, age, length of stay in EICU, underlying diseases, and infection sites were recorded. Within 24 hours of sepsis diagnosis, blood culture results, white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), blood lactate acid (Lac), HBP, Alb, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), mortality in emergency department sepsis score (MEDS), modified early warning score (MEWS), number of organ failures, use of vasopressors, application of mechanical ventilation, renal replacement therapy, and 28-day prognosis were recorded, the differences in these indicators between two groups were compared. Univariate and multivariate Logistic regression analyses were used to analyze the risk factors of 28-day mortality in patients with sepsis. Receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to evaluate the early predictive value of various risk factors for 28-day mortality in patients with sepsis. RESULTS: A total of 300 patients with sepsis were included, with 16 excluded, resulting in 284 patients being analyzed. Among them, 191 survived and 93 died within 28 days. There were no statistically significant differences between the two groups in terms of gender, age, underlying diseases, infection sites, blood culture positivity rate, number of organ failures, and length of stay in EICU. Univariate analysis showed that the rate of vasopressor use, the rate of mechanical ventilation, HBP, PCT, CRP, Lac, SOFA score, APACHE II score, MEDS score, and MEWS score were significantly higher in the death group than those in the survival group, while Alb was significantly lower in the death group than that in the survival group. Multivariate Logistic regression analysis showed that HBP and Alb were independent risk factors for predicting 28-day mortality in patients with sepsis [odds ratio (OR) and 95% confidence interval (95%CI) were 1.093 (0.989-1.128) and 1.174 (1.095-1.259), both P < 0.05]. ROC curve analysis showed that both HBP and Alb had certain predictive value for 28-day mortality in patients with sepsis [AUC and 95%CI were 0.820 (0.717-0.923) and 0.786 (0.682-0.890), both P < 0.05]. When the critical value of HBP was 117.50 μg/L, the sensitivity was 85.90%, and the specificity was 70.50%. When the critical value of Alb was 28.30 g/L, the sensitivity was 69.30%, and the specificity was 81.20%. When the two indexes were combined for diagnosis, the AUC was 0.881 (95%CI was 0.817-0.945, P < 0.001), the sensitivity was 92.70%, and the specificity was 76.80%. CONCLUSIONS HBP and Alb are independent risk factors for predicting 28-day mortality in patients with sepsis. The combined prediction efficiency of HBP and Alb for 28-day mortality in patients with sepsis is superior to a single indicator.
Humans ; Sepsis/diagnosis* ; Retrospective Studies ; Predictive Value of Tests ; Intensive Care Units ; Blood Proteins/analysis* ; Prognosis ; Antimicrobial Cationic Peptides/blood* ; APACHE ; Male ; Female ; Organ Dysfunction Scores ; ROC Curve ; Middle Aged ; C-Reactive Protein/analysis* ; Emergency Service, Hospital ; Aged ; Hospital Mortality ; Serum Albumin/analysis*