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.

Diabetic retinopathy(DR)remains the leading cause of vision loss in patients with diabetes. Current anti-vascular endothelial growth factor(VEGF)therapies are limited by inadequate response in some patients and the necessity for repeated intravitreal injections, underscoring the urgent need for novel therapeutic targets. Angiopoietin-like protein 4(ANGPTL4), a multifunctional secreted protein, has emerged as a critical regulator in the pathogenesis and progression of DR, positioning it as a promising interventional target. This review systematically elaborates the biological characteristics of ANGPTL4, with a focus on its expression dynamics, molecular mechanisms, and regulatory networks rolesin the development of DR. Furthermore, the prospects of ANGPTL4-targeted therapeutic strategies are discussed, aiming to offer new insights and directions for understanding DR pathogenesis, advancing multi-target drug development, and improving clinical management.

Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.

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 effect of up-regulation of microRNA-31(miRNA-31)on the osteogenic differentiation of dental pulp stem cells(DPSCs),and to elucidate its possible mechanism.Methods:The DPSCs in logarithmic growth phase were divided into control group(no treatment),NC group(transfected with random sequence control),Agomir group(transfected withmiR-31 mimic agomiR-31),and combination group(transfected with miR-31 mimic agomiR-31 and added with XAV939).After 48 h of transfection,real-time fluorescence quantitative PCR(RT-qPCR)was used to detect the expression levels of miR-31 in the DPSCs in various groups.MTT assay was used to detect the proliferation abilities of the DPSCs in various groups.Alizarin red staining was used to detect calcium deposition in the DPSCs in various groups.Alkaline phosphatase(ALP)staining was used to detect the degree of osteogenic differentiation of the DPSCs in various groups.Western blotting method was used to detect the expression levels of proteins related to the wingless-type MMTV integration site family(Wnt)/β-catenin signaling pathway in the DPSCs in various groups.Results:There were no significant differences in the miR-31 expression level,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP ability between control group and NC group(P＞0.05).Compared with control group and NC group,the expression level of miR-31,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP activity in the DPSCs in Agomir group were increased(P＜0.05).Compared with Agomir group,the expression level of miR-31,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP activity in the DPSCs in combination group were decreased(P＜0.05).There were no significant difference in the expression levels of glycogen synthase kinase 3β(GSK-3β),β-catenin and Runt-associated transcription factor 2(Runx2)in the DPSCs between control group and NC group(P＞0.05).Compared with control group and NC group,the expression level of GSK-3β protein in the DPSCs in Agomir group was decreased(P＜0.05),and the expression levels of β-catenin and Runx2 proteins in the DPSCs were increased(P＜0.05).Compared with Agomir group,the expression level of GSK-3β protein in the DPSCs in combination group was increased(P＜0.05),while the expression levels of β-catenin and Runx2 proteins were decreased(P＜0.05).Conclusion:Up-regulation of miR-31 can promote the proliferation and osteogenic differentiation of DPSCs,and its mechanism may be related to the activation of Wnt/β-catenin signaling pathway.

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 investigate the characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.

Objective To examine the expression pattern of apoptosis signal-regulating kinase 1(ASK1)in the intestinal tissues of patients with Crohn's disease(CD),and analyze its mechanistic impact on intestinal epithelial barrier function and inflammatory responses.Methods Ileal tissue samples from Crohn's disease patients and healthy controls were collected.ASK1 protein level was assessed by immunohistochemistry,and its relationship with the Crohn's disease activity index(CDAI)was analyzed.A mouse model of acute colitis was constructed using TNBS,and subjected to qRT-PCR,Western blotting and immunohistochemistry for ASK1 expression,and the association between ASK1 expression and the disease activity index was examined.Lentivirus transfection was employed to create stable Caco-2 cell lines with altered ASK1 expression,and the intestinal barrier integrity and inflammation were assessed by measuring transepithelial electrical resistance(TEER),FITC-dextran leakage,and IL-6,IL-1β levels.Furthermore,the effects of ASK1 expression on Krüppel-like factor 4(KLF4)levels was examined using qRT-PCR and Western blotting.Results ASK1 was highly expressed in the ileum of CD patients and positively correlated with CDAI.In a TNBS-induced mouse model of acute colitis,ASK1 expression was up-regulated and positively correlated with DAI.Inflammation-induced ASK1 overexpression weakened the Caco-2 cell intestinal barrier,whereas ASK1 knockdown strengthened it.Moreover,ASK1 had the capability to enhance the expression of inflammatory factors.Additionally,ASK1 knockdown increased KLF4 expression,while overexpression decreased it,indicating a negative correlation between ASK1 and KLF4.Conclusion ASK1 expression is notably higher in CD and positively correlates with disease activity.ASK1 can influence intestinal barrier integrity and inflammatory factor expression,possibly through its impact on KLF4 expression.

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 characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.