Objective: Patients with atherosclerotic cardiovascular disease (ASCVD) following percutaneous coronary intervention (PCI) are classified as very-high-risk individuals in cardiovascular disease (CVD) risk stratification. The distribution pattern of traditional Chinese medicine (TCM) syndromes in this patient population, as well as its association with blood lipid profiles and clinical prognosis, remains unclear. The present prospective cohort study aims to investigate these correlations, thereby providing insights to enrich the research fields. Methods: We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1, 2020 and December 31, 2022. Demographics and clinical characteristics, signs and symptoms defining each TCM syndrome, and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events (MACEs). We analyzed the correlation between TCM syndromes, blood lipid profiles, and MACEs, and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression. The analyses were based on detailed baseline and one-year follow-up data. Results: A per-protocol analysis was performed on 586 patients with complete data ultimately. During the one-year follow-up, 174 patients (29.69%) experienced a MACE. We performed statistical analyses on comorbidities, medication, and biochemical indicators across groups defined by TCM syndrome differentiation. When comparing different TCM syndromes, no significant differences were found in age, body mass index (BMI), history of revascularization, comorbidities, family history of CVD, smoking or drinking, or statin intensity (P > 0.05). Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol (TC, 5.27 ± 1.18 mmol/L, P < 0.001), triglyceride (TG, 1.96 ± 1.33 mmol/L, P = 0.008), low-density lipoprotein cholesterol (LDL-C, 3.35 ± 0.79 mmol/L, P < 0.001), and high-density lipoprotein cholesterol (HDL-C, 1.24 ± 0.81 mmol/L, P < 0.001) compared with those with other TCM syndromes combined. A multivariable logistic regression model was constructed to predict MACEs. The model included TCM syndrome type [with intertwined phlegm and blood stasis as a predictor, adjusted odds ratio (OR) = 1.413, 95% confidence interval (CI): 0.517 – 3.864, P = 0.501], age (adjusted OR = 0.97, 95% CI: 0.955 – 1.001, P = 0.057), male gender (adjusted OR = 0.698, 95% CI: 0.416 – 1.170, P = 0.173), TC (adjusted OR = 1.004, 95% CI: 0.513 – 1.965, P = 0.990), and LDL-C (adjusted OR = 5.825, 95% CI: 2.214 – 15.326, P < 0.001). This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients [the area under the receiver operating characteristic (ROC) curve (AUC) = 0.865, 95% CI: 0.816 – 0.914]. Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C. The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters (TC and LDL-C) shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI, underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.

Objective To investigate the therapeutic efficacy of artesunate(AS)on polycystic ovary syndrome(PCOS)in mice and explore the potential mechanism primarily.Methods Twenty-five female C57BL/6J mice were randomly divided into Control group,model group(PCOS group),low-and high-dose AS groups(AS15 and AS30 groups)and metformin group(Met group).In addition to the Control group,the mouse model of PCOS was established by subcutaneous injection of dehydroepiandrosterone(DHEA,60 mg/kg)following by a high-fat diet for 21 d.After modeling,AS of 15 and 30 mg/kg was intraperitoneally injected into the mice of the AS 15 and AS30 groups,respectively,and 200 mg/kg Met was given to those of the Met group by gavage,once per day,for 6 weeks.ELISA was used to detect serum testosterone(T),fasting insulin(FINS),luteinizing hormone(LH)and follicle-stimulating hormone(FSH),and the LH/FSH ratio was calculated.The levels of fasting blood glucose(FBG),triglyceride(TG)and total cholesterol(TC)were detected by automatic biochemical analyzer,and the homeostasis model assessment of insulin resistance(HOMA-IR)was calculated.The estrous cycle was observed,and HE staining was performed for pathological changes in the ovary and uterus.Immunofluorescence assay was employed to measure the expression of p-eIF2α,ATF4 and CHOP in the ovarian tissue.After steroidogenic human granulosa-like tumor cell line KGN were exposed to 100 μmol/L DHEA to simulate the hyperandrogen environment of PCOS,and then treated with 5 and 10 μg/mL AS for 24 h,the protein levels of endoplasmic reticulum stress signaling pathway was detected by Western blotting.Results Compared with the Control group,the PCOS mice had disturbed estrous cycle,polycystic changes in the ovaries,and significantly increased serum T level and LH/FSH ratio(P＜0.05),and obviously elevated HOMA-IR,TC and TG levels in terms of metabolism(P＜0.01).The expression levels of p-eIF2α,ATF4 and CHOP were notably up-regulated in the ovarian granulosa cells of PCOS mice and KGN cells after DHEA exposure(P＜0.05).Additionally,AS treatment attenuated the pathological changes of ovary and uterine expression,decreased the serum T level and the LH/FSH ratio(P＜0.05),and reduced HOMA-IR,TC and TG levels(P＜0.05)when compared with the PCOS mice.Moreover,the expression levels of p-eIF2α,ATF4 and CHOP were significantly down-regulated after AS treatment in both ovarian granulosa cells of PCOS mice and KGN cells(P＜0.05).Conclusion AS significantly improves glycolipid metabolic disorder and reproductive dysfunction in PCOS mice,which may be associated with its suppressing endoplasmic reticulum stress by inhibiting the PERK/eIF2α/ATF4/CHOP pathway.

Objective To investigate the role of transcription factor EB(TFEB)in endotoxin-tolerant macrophages.Methods The RAW264.7 cells were divided into blank group(DMEM medium),LPS 5 group(5 ng/mL LPS treatment for 4 h),LPS 100 group(100 ng/mL LPS treatment for 4 h),and tolerance group(5 ng/mL LPS for 12 h followed by 100 ng/mL LPS for 4 h).The releases of inflammatory factors TNF-α and IL-6 were measured using ELISA.Western blotting and immunofluorescence assay were used to evaluate the distribution of autophagy-related proteins LC3 and P62,as well as TFEB in the cytoplasm and nucleus.Lentiviral overexpression of TFEB or siRNA-mediated knockdown of TFEB were performed to observe the changes in autophagy levels and bacterial clearance ability in the tolerant cells.Results The cells in the tolerance group had significantly lower contents of TNF-α and IL-6,as well as reduced bacterial clearance ability(P<0.01),down-regulated LC3 expression while up-regulated P62 level,and decreased expression of TFEB in both the cytoplasm and nucleus(P<0.01)when compared with the cells of the LPS 100 group.Overexpression of TFEB significantly increased LC3 level,reduced P62 level,and enhanced bacterial clearance ability in the endotoxin-tolerant cells(P<0.01).In contrast,siRNA-mediated knockdown of TFEB had no significant impacts on LC3 and P62 expression levels or bacterial clearance ability.Conclusion Overexpression of TFEB can restore the autophagy of endotoxin-tolerant cells and enhance their bacterial clearance capacity,thereby alleviating the immunosuppressive state of sepsis.These findings suggest that TFEB holds promise as a potential therapeutic target for the prevention and treatment of sepsis.

Objective To investigate the role and underlying mechanism of activating transcription factor 3(ATF3)in suppressing lipopolysaccharide(LPS)-induced autophagy and inflammatory responses in macrophages.Methods Firstly,the gene expression omnibus(GEO)database was used to analyze ATF3 expression in peripheral blood mononuclear cells(PBMCs)from sepsis patients,and gene set enrichment analysis(GSEA)was performed to identify enriched signaling pathways.Secondly,RAW264.7 macrophages were divided into a blank control group and an LPS-stimulated group(100 ng/mL LPS).Western blotting and immunofluorescence assay were used to detect ATF3 protein expression and observe its subcellular localization,respectively.Lentiviral transduction was used to generate ATF3 knockdown and overexpression cell lines to evaluate their effects on cytokine release and bacterial clearance.Cleavage Under Targets and Tagmentation(CUT&Tag)sequencing was employed to identify downstream target genes transcriptionally regulated by ATF3.Furthermore,the impact of ATF3 knockdown or overexpression on autophagy-related gene 5(ATG5),autophagy-related gene 16-like 1(ATG16L1),and autophagy levels was evaluated.Results GEO analysis revealed that ATF3 expression was significantly elevated in PBMCs from sepsis patients(P<0.01),and GSEA showed significant enrichment of autophagy-related and inflammation-related pathways(P<0.01).In RAW264.7 cells,100 ng/mL LPS stimulation significantly increased ATF3 expression in the nucleus than the blank control group(P<0.01).ATF3 knockdown led to increased secretions of TNF-α and IL-6 and enhanced bacterial clearance of macrophages(P<0.01),whereas ATF3 overexpression significantly suppressed TNF-α and IL-6 releases,and remained bacterial clearance at a low level when compared with the conditions in the negative control(NC)group(P<0.01).CUT&Tag results demonstrated that ATF3 was enriched at the promoter regions of key autophagy genes Atg5 and Atg16l1.Compared with the NC group,ATF3 knockdown significantly up-regulated the protein levels of LC3-II/I,ATG5,and ATG16L1 while decreased p62 expression(P<0.01).Conversely,ATF3 overexpression inhibited the expression of LC3-II/I,ATG5,and ATG16L1(P<0.01),but had no significant effect on p62 level.Conclusion Sepsis induces elevated ATF3 expression in macrophages,and suppresses autophagic activity and down-regulates pro-inflammatory cytokines TNF-α and IL-6,which probably mediated by ATF3 regulating transcription of ATG5 and ATG16L1,suggesting ATF3 as a potential therapeutic target for autophagy-inflammation imbalance.

Objective To investigate the role of p300 in lipid metabolism disorders.Methods Bioinformatics analysis was performed to analyze the expression patterns of p300 in lipid metabolism disorder-related diseases and its correlation with SREBP-1c and downstream lipid metabolic enzymes.Immunofluorescence assay was used to detect the expression of p300 in the liver tissues of the patients with varying disease severity of non-alcoholic fatty liver disease(NAFLD).A mouse model of lipid metabolism disorder was established in male C57BL/6J mice by feeding high-fat diet(HFD)for 12 weeks.Western blotting was employed to assess p300 expression level in the liver tissues of HFD-fed mice.A cell model of lipid metabolism disorder was established in HepG2/AML-12 cells induced with free fatty acid(FFA).The effects of siRNA-mediated knockdown of p300 was observed to measure the levels of intracellular total cholesterol(TC)and triglyceride(TG),lipid deposition,and production of reactive oxygen species(ROS).Results Clinically,p300 was highly expressed in lipid metabolism disorders,and its level was positively correlated with NAFLD severity(P<0.05).Gene Set Enrichment Analysis(GSEA)revealed that p300 expression was significantly associated with fatty acid metabolism,cholesterol homeostasis,lipogenesis,PPAR signaling pathway,and peroxisome pathway.In vivo,p300 was significantly up-regulated in the livers of HFD-fed mice(P<0.01).In vitro,FFA stimulation markedly increased p300 expression in both HepG2 and AML-12 cells(P<0.01),whereas p300 knockdown significantly reduced intracellular TG and TC levels(P<0.01),attenuated lipid droplet accumulation,and reversed FFA-induced ROS elevation(P<0.01).Furthermore,p300 expression was positively correlated with the expression of SREBP-1c and its downstream key lipid synthesis enzymes.Conclusion p300 may promote hepatic lipid accumulation by acetylating and activating SREBP-1c and regulating downstream lipid metabolic enzymes,thereby affecting lipid synthesis and oxidative stress.These findings suggest that p300 may be a potential therapeutic target for lipid metabolism disorder-related diseases.

Nipah virus (NiV) and related viruses form a distinct henipavirus genus within the Paramyxoviridae family. NiV continues to spillover into the humans causing deadly outbreaks with increasing human-bat interaction. NiV encodes the large protein (L) and phosphoprotein (P) to form the viral RNA polymerase machinery. Their sequences show limited homologies to those of non-henipavirus paramyxoviruses. We report two cryo-electron microscopy (cryo-EM) structures of the Nipah virus (NiV) polymerase L-P complex, expressed and purified in either its full-length or truncated form. The structures resolve the RNA-dependent RNA polymerase (RdRp) and polyribonucleotidyl transferase (PRNTase) domains of the L protein, as well as a tetrameric P protein bundle bound to the L-RdRp domain. L-protein C-terminal regions are unresolved, indicating flexibility. Two PRNTase domain zinc-binding sites, conserved in most Mononegavirales, are confirmed essential for NiV polymerase activity. The structures further reveal anchoring of the P protein bundle and P protein X domain (XD) linkers on L, via an interaction pattern distinct among Paramyxoviridae. These interactions facilitate binding of a P protein XD linker in the nucleotide entry channel and distinct positioning of other XD linkers. We show that the disruption of the L-P interactions reduces NiV polymerase activity. The reported structures should facilitate rational antiviral-drug discovery and provide a guide for the functional study of NiV polymerase.
Nipah Virus/chemistry* ; Cryoelectron Microscopy ; Viral Proteins/genetics* ; RNA-Dependent RNA Polymerase/genetics* ; Phosphoproteins/genetics* ; Humans ; Models, Molecular ; Protein Binding

ObjectiveTo analyze the epidemiological characteristics and spatial clustering patterns of brucellosis in humans in Zhangjiakou City, Heibei Province from 2018 to 2023, so as to provide a basis for the prevention and control of brucellosis. MethodsIncidence data of brucellosis in Zhangjiakou City from 2018 to 2023 were collected. Descriptive epidemiological analysis, Joinpoint regression modelling, and spatial autocorrelation analysis were used to analyze the temporal trends and spatial clustering patterns of the epidemic. ResultsA total of 3 812 cases of brucellosis were reported in Zhangjiakou City from 2018 to 2023, with no death case, yielding an average annual incidence rate of 15.43/100 000 (incidence range: 12.82/100 000‒17.76/100 000). Cases of brucellosis occurred year-round, with a distinct seasonal pattern, predominantly concentrated between March and September, peaking in May and June. The male-to-female ratio was 2.58∶1, with a higher incidence in males than that in females. The highest incidence rates were observed in the 40‒<50 years (74.98/100 000) and 50‒<60 years age group (87.14/100 000). The majority of cases were farmers and herdsmen (3 557 cases, 93.31%). Joinpoint regression analyses indicated that from 2018 to 2023, the incidence rate of human brucellosis in pastoral areas of Zhangjiakou City showed a declining trend (APC=-9.70%, 95%CI: -15.31%‒ -4.63%), while the incidence rate in mixed-use areas exhibited an increasing trend (APC=6.90%, 95%CI: 0.17%‒14.30%). Spatial clustering analyses showed that the incidence of brucellosis in Zhangjiakou from 2018 to 2023 was non-randomly distributed across the whole city, with a positive spatial correlation and significant clustering (Moran’s I>0, all P<0.001). Local spatial autocorrelation analyses showed that the high-high clusters were concentrated in the pastoral areas during 2018‒2020. From 2021 onward, the number of high-high clusters in mixed and non-pastoral regions exceeded those in traditional pastoral areas. ConclusionFrom 2018 to 2023, the incidence of brucellosis in Zhangjiakou City showed a declining trend, with significant spatial clustering observed across the city. It is recommended to intensify health education among males aged 40‒<60 years. Scientific livestock management practices should be promoted in non-pastoral and mixed areas, and cross-sectoral quarantine and joint prevention and control efforts should be strengthened as well.

Objective To explore the preoperative non-invasive prediction of early postoperative glioma recurrence using multi-modal conventional MRI radiomics.Methods A retrospective analysis of the clinical and MRI data of 83 glioma patients who met the inclusion criteria was conducted.The Kruskal-Wallis test was used to compare clinical factors between recurrent and non-recurrent groups.The automated segmentation of the entire tumor lesion for glioma patients was accomplished with VB-Net algorithm,a deep learning approach developed by United Imaging Healthcare;and the extraction of radiomics features from preoperative T1CE and T2WI images was carried out on URP platform.The optimal feature combination was determined using the maximum relevance and minimum redundancy and least absolute shrinkage and selection operator methods.Logistic regression and five-fold cross-validation were employed to analyze radiomics features and construct 4 prediction models,namely T2WI model,T1CE model,T2WI+T1CE model,and imaging-clinical fusion model.The diagnostic performances of these models were evaluated and compared using the area under the receiver operating characteristic curve(AUC)and the Delong test.In addition,the model sensitivity and specificity were calculated.Results Postoperatively,there were 40 recurrent cases and 43 non-recurrent cases.The clinical factors such as glioma grade showed statistical significance between two groups(P<0.05),while gender and age did not show significant statistical differences(P>0.05).For the single-sequence radiomics models,T1CE model(AUC:0.804)outperformed T2WI model(AUC:0.702).The multi-modal combined model exhibited a higher AUC than the single-sequence prediction models,with an AUC of 0.849,a sensitivity of 72.5%,and a specificity of 79.1%.The imaging-clinical fusion model whose predictive efficiency was close to that of multi-modal combined model(P=0.303)also performed well in forecasting postoperative glioma recurrence,with an AUC of 0.839,a sensitivity of 72.5%,and a specificity of 79.1%.Conclusion The multi-modal conventional MRI radiomics model can better predict early postoperative glioma recurrence.The imaging-clinical fusion model that includes glioma grade does not have the diagnostic performance superior to that of radiomics model.

Objective To explore the value of diffusion tensor imaging analysis index along the perivascular space(DTI-ALPS)for assessing age-related functional changes in glymphatic system(GS).Methods Totally 27 healthy subjects from Meizhou People's Hospital and 100 healthy subjects from neuroimaging informatics tools and resources collaborator database who underwent T1-weighted magnetization-prepared rapid gradient echo(T1-MPRAGE)and DTI scanning were retrospectively enrolled and divided into youth group(n=38),middle-aged group(n=57)and elderly group(n=32).Automated DTI-ALPS index analysis procedure was used to minimize manual errors and derive DTI-ALPS index.The general data,neuropsychological assessment results and DTI-ALPS indices were compared among groups.Spearman correlation analysis was performed to observe the relationships of DTI-ALPS index and age,gender,as well as neuropsychological scores.Results The average age in youth group,middle-aged group and elderly group was(28.5±5.8),(53.7±6.8)and(73.8±2.3)years,respectively.No significant difference of DTI-ALPS index was found between middle-aged group and elderly group(P＞0.05),which were both lower than that in youth group(both P＜0.05).DTI-ALPS index was weakly negatively correlated with age(rs=-0.340,P＜0.001),but not significantly correlated with gender nor neuropsychological assessment results(both P＞0.05).Conclusion DTI-ALPS index was negatively correlated with age in healthy individuals,hence having potential utility for assessing age-related functional changes in GS.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.