Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

Objective To analyze the burden of atherosclerotic cardiovascular disease(ASCVD)attributable to lifestyle and metabolic factors in China from 1990 to 2021 and predict its future trends,providing evidence for public health prevention and control.Methods Based on the Global Burden of Disease(GBD)2021 database,we extracted disability-adjusted life years(DALYs)of ASCVD attributable to 7 key risk factors:dietary,low physical activity,smoking,high body mass index(BMI),high fasting blood glucose,high low-density lipid cholesterol(LDL-C),and hypertension.Age-standardized DALY rates(ASDR)were also calculated to account for variations in age structure,and an ARIMA model was applied to predict future trends.Results ① Overall trend analysis showed the leading risk factor for ischemic heart disease(IHD)shifted from dietary risks in 1990 to hypertension in 2021,while hypertension and smoking remained the primary risk factors for ischemic stroke(IS)and peripheral artery disease(PAD),respectively.② In BRICS nations,hypertension was the dominant risk factor for both IHD and IS,whereas in China,smoking and high fasting blood glucose continued to be the major drivers of PAD burden.③ Sex-specific analysis revealed that hypertension was the leading risk factor for IHD and IS in both males and females.For PAD,smoking was the main risk factor in males,while high fasting blood glucose was for females.Age-stratified analysis revealed that in the 15-49 age group,dietary,high LDL-C and smoking were the primary factor for IHD,IS and PAD,respectively;in the 50-69 group,dietary predominated IHD risk,hypertension IS,and smoking PAD;and among those aged≥70 years,hypertension was the leading risk factor for both IHD and IS,and high fasting blood glucose was for PAD.④ ARIMA model forecasted that by 2035,DALYs for IHD,IS,and PAD will increase to 82.816 million,46.808 million,and 0.192 million person-years,respectively.Conclusion The ASCVD burden attributable to lifestyle and metabolic factors continues to rise in China from 1990 to 2021,and is projected to further increase by 2035.Countermeasures We suggest that current prevention and control priorities are enhanced management of metabolic factors,tailored interventions by sex and age,promotion of healthy lifestyles and tobacco control,and establishment of an integrated system of prevention-treatment-rehabilitation-research.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To study the factors affecting hospital death in elderly patients with novel coronavirus infec-tion/disease 2019(COVID-19),and to build a risk prediction model.Methods According to the diagnostic criteria of Diagnosis and Treatment Protocol for COVID-19 Infection(Trial 10th Edition).Totally 775 elderly patients(≥60 years old)diagnosed as COVID-19 infection in the emergency department and fever clinic of the First Hospital of Changsha were selected as the research objects.General data and serum biomarkers of patients were collected.After treatment,the patients'data were divided into survival group and hospital death group.Binary Logistic regres-sion was used to screen the independent influencing factors of death,and ROC curve was used to analyze the pre-dictive value of related indicators on hospital death.Results After treatment,712 patients(91.9%)survived and 63 patients(8.3%)died in hospital.Binary Logistic regression analysis showed that:≥90 years old[OR=5.065,95%CI(1.427,17.974)],type 2 diabetes mellitus[OR= 3.757,95%CI(1.649,8.559)],COPD[OR= 5.625,95%CI(2.357,13.421)],monocyte ratio[OR=0.908,95%CI(0.857,0.963)],plasma fibringen[OR=1.376,95%CI(1.053,1.800)]and lactate dehydrogenase[OR=1.005,95%CI(1.001,o1.008)]were independent factors of in-hospital death(P＜0.05).The predictive value of diabetes mellitus+COPD+age+monocyte ratio+plasma fibrinogen+lactate dehydrogenase was proved in hospital death from COVID-19 infected patients:the area under the curve(AUC)was 0.883(95%CI:0.827,0.940,P＜0.001),the critical value≥0.710 suggested the risk of death in hospital,the specificity was 0.851,the sensitivity was 0.857.Conclusions The hospital mortality of the elderly after COVID-19 infection is higher and closely related to type 2 diabetes,COPD,monocyte ratio,plasma fibrinogen and lactate dehydrogenase.

OBJECTIVES: To investigate the inhibitory effect of GSK484, a PAD4 inhibitor, on H3Cit expression following sepsis and its effects for improving sepsis-induced endothelial dysfunction. METHODS: Eighteen C57BL/6 mice were randomized into sham-operated group, sepsis model group and GSK484 treatment group (n=6), and in the latter two groups, models of sepsis were established by cecal ligation and puncture (CLP). The mice in GSK484 treatment group were given an intraperitoneal injection of GSK484 (4 mg/kg) on the second day following the surgery. Twenty-four hours after the injection, the mice were euthanized for measurement of serum levels of VEGF, ESM-1, IL-6 and IL-1β using ELISA. Lung tissue pathology was observed with HE staining, and pulmonary expressions of F-actin, VE-cadherin, ZO-1 and H3Cit proteins were detected using immunofluorescence staining and Western blotting. In primary cultured of mouse lung microvascular endothelial cells, the effect of stimulation with LPS (10 μg/mL) for 24 h on tube formation, proliferation, apoptosis and expressions of VEGF, ESM-1, IL-6 and IL-1β were assessed using CCK-8 assay, flow cytometry and ELISA. RESULTS: Compared to the sham-operated mice, the septic mice exhibited significant lung tissue pathologies characterized by vascular congestion, alveolar rupture, edema, and neutrophil infiltration. Serum levels of IL-6, IL-1β, VEGF, and ESM-1 were elevated, pulmonary expressions of F-actin, VE-cadherin, and ZO-1 were decreased, and H3Cit expression was increased significantly in the septic mice. GSK484 treatment effectively mitigated these changes in the septic mice. The LPS-stimulated endothelial cells showed increased productions of IL-6, IL-1β, VEGF and ESM-1, which were significantly reduced after treatment with 2.5 μmol/L GSK484. CONCLUSIONS GSK484 treatment effectively suppresses H3Cit expression in septic mice to ameliorate sepsis-induced endothelial dysfunction.
Animals ; Sepsis/drug therapy* ; Mice ; Mice, Inbred C57BL ; Lung Injury/drug therapy* ; Endothelial Cells/drug effects* ; Interleukin-6/metabolism* ; Protein-Arginine Deiminase Type 4/metabolism* ; Lung/metabolism* ; Vascular Endothelial Growth Factor A/metabolism* ; Interleukin-1beta/metabolism* ; Disease Models, Animal ; Cadherins/metabolism* ; Apoptosis/drug effects* ; Imidazoles ; Antigens, CD

A large number of data show that the prevalence rate of alcoholic liver injury （ALI） is increasing year by year， and it has become one of the main causes of death due to chronic liver diseases such as liver cancer and liver cirrhosis. Quitting drinking is the main method for the prevention of ALI in modern medicine， and the main treatment methods include Western medicine with antioxidant and anti－fibrotic effects and nutritional support. However， Western medicine tends to have an unsatisfactory treatment effect and can only alleviate initial symptoms， and severe ALI still requires surgical treatment. Studies have shown that the monomers extracted from natural drugs and foods have obvious preventive and therapeutic effects on ALI， with high safety and easy access. Therefore， this article systematically summarizes the main natural drug and food monomers used for the prevention and treatment of ALI and proposes the idea of the combination of drug and food for the prevention and treatment of ALI from the perspective of paying attention to the whole process of health， in order to explore more effective prevention， health care， and treatment methods and provide ideas for research on the prevention and control of ALI.

Objective In order to obtain small molecule compounds with novel structure and good biological activity, the secondary metabolites of polar sponge-symbiotic Streptomyces sp. LHW11-07 were studied. Methods The fermentation product of Streptomyces sp. LHW11-07 was isolated and purified by gel column chromatography, silica gel column chromatography, reversed-phase medium pressure column chromatography and high performance liquid chromatography. The structures of the monomeric compound were identified by modern spectroscopic methods such as mass spectrometry, nuclear magnetic resonance and related literature reports. Results A total of nine compounds were isolated from the fermentation of this strain, which were cyclo-(L-Tyr-L-Trp) (1), cyclo-(L-Trp-L-Ser) (2), cyclo-(D-Tyr-D-Pro) (3), cyclo-(L-Tyr-L-Phe) (4), cyclo-(L-Tyr-L-Leu) (5), albaflavenol B (6), β-adenosine (7), N-formylantimyic acid methyl ester (8) and conglobatin A (9). Conclusion Compounds 1 and 2 were isolated from Streptomyces sp. for the first time.

Objective:To comprehensively evaluate the input and output efficiency of scientific research in hospital by bootstrap data envelopment analysis, to provide useful information for optimization of scientific performance appraisal and hospital discipline development strategy.Methods:37 disciplines were included as decision making unit, input variables include research expenditure and number of research personnel, and output variables include number of science and technology awards, research projects, patent transfer, paper, composition, and academic influence. The bootstrap-DEA method was used to evaluate the efficiency of all DMUs.Results:The main of overall efficiency and pure technical efficiency in basic DEA model are 0.858 and 0.909, but are 0.804 and 0.853 in Bootstrap DEA model, the differences between two models have statistically significant ( P<0.001). There are 11 DMUs with an overall efficiency in 0.9~1.0, 14 DMUs in 0.8~0.9, 7 DMUs in 0.6~0.8, 5 DMUs lower than 0.6. There are 3 DMUs are increasing return to scale, 16 DMUs are constant return to scale, 18 DMUs are decreasing return to scale. No statistically significance was observed between different types of DMUs( P>0.05). There are 4 DMUs reveal input slacks in number of research staffs and 10 DMUs reveal output slacks. Conclusions:The results of Bootstrap-DEA are more accurate than the basic methods for the evaluation of the input-output efficiency of hospital scientific research, so that it is worth popularizing and applying. According to the evaluation results, the hospital management department and disciplines could optimize their discipline development strategies and put forward targeted improvement measurements.