OBJECTIVE To investigate the effect and mechanism of morin on alveolar bone resorption in periodontitis mice based on the silent information regulator 1 （SIRT1）/peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）/nuclear factor-erythroid 2-related factor 2 （Nrf2） pathway. METHODS The mice were randomly divided into control group， model group， morin group （40 mg/kg）， SRT1720 （SIRT1 activator） group （5 mg/kg）， and morin+EX527 （SIRT1 inhibitor） group （40 mg/kg morin+7.5 mg/kg EX527）， with 18 mice in each group. Except for control group， mice in other groups were subjected to silk ligation to establish periodontitis model. After successful modeling， mice in each group were treated with corresponding medicinal solutions or normal saline intragastrically or intraperitoneally， once a day， for two consecutive weeks. After the last medication， serum levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-1β， IL-6 and IL-10 were measured. The distance between the cementoenamel junction and alveolar bone crest was determined， and bone volume fraction and bone mineral density were calculated. Pathological changes of periodontal tissue were observed， and the number of osteoclasts was measured. mRNA expressions of receptor activator of nuclear factor-κB ligand （RANKL） and osteoprotegerin （OPG） in periodontal tissue， the levels of malondialdehyde （MDA） and superoxide dismutase （SOD） as well as protein expressions of SIRT1， PGC-1α， and Nrf2 were determined. RESULTS Compared with model group， the alveolar bone resorption and inflammatory cell infiltration in the periodontal tissues of mice were improved in morin group and SRT1720 group. The serum levels of TNF-α， IL-1β and IL-6， the distance between cementoenamel junction and alveolar bone crest， the number of osteoclasts in periodontal tissue， RANKL mRNA expression and the MDA level were decreased， shortened and reduced significantly （ P ＜0.05）； however， serum level of IL-10， bone volume fraction and bone mineral density， OPG mRNA expression in periodontal tissue， SOD level and protein expressions of SIRT1， PGC-1α and Nrf2 were increased significantly （ P ＜0.05）. Compared with morin group， the above pathological changes were significantly aggravated in the morin+EX527 group； and the levels of quantitative indicators were markedly reversed （ P ＜0.05）. CONCLUSIONS Morin may inhibit alveolar bone resorption in periodontitis mice by activating the SIRT1/PGC-1α/Nrf2 pathway to reduce inflammatory reaction and oxidative stress.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

Objective To investigate the regulatory role and underlying mechanism of the long non-coding RNA (LncRNA) LINC01430 in the inhibitory effect of sanguinarine on non-small cell lung cancer (NSCLC). Methods Differentially expressed LncRNAs and coexpressed target genes in A549 and H1975 cells before and after sanguinarine treatment were identified through high-throughput lncRNA sequencing. LINC01430 expression and its prognostic value were analyzed by using the TCGA database and experimental validation. An LINC01430-overexpressing A549 cell model was established, and CCK-8, TUNEL, RT-qPCR, Western blot analysis, and dual-luciferase reporter assays were performed to evaluate the influence of LINC01430 overexpression on sanguinarine-mediated cell proliferation, apoptosis and NOX4/IL-6 expression. Results A total of 361 differentially expressed LncRNAs, among which LINC01430 was significantly downregulated (P<0.001), were identified after sanguinarine treatment. Pathway enrichment analysis revealed pathways associated with oxidative stress and inflammation, and the mRNA and protein levels of the target genes NOX4 and IL-6 were markedly reduced (P<0.05, P<0.01). LINC01430 exhibited high expression in NSCLC tissues and cell lines (P<0.05), with a trend toward poor prognosis (HR=1.15). The overexpression of LINC01430 significantly attenuated the inhibitory effect of sanguinarine on cell proliferation and the promoting effect on apoptosis in NSCLC cells (P<0.01) and partially reversed the downregulation of NOX4 and IL-6 induced by sanguinarine (P<0.05). LINC01430 directly activated IL-6 promoter transcriptional activity (P<0.05). Meanwhile, its effect on the NOX4 promoter showed an upward trend without statistical significance. Conclusion Sanguinarine may suppress NSCLC by downregulating LINC01430 to inhibit NOX4/IL-6 signaling. LINC01430 represents a promising target for NSCLC therapy.

Diabetes, hyperlipidemia, and hyperuricemia have emerged as global chronic metabolic disorders posing significant public health challenges. Edible medicinal plants demonstrate multitarget regulatory effects and favorable safety profiles in the management of chronic metabolic diseases, owing to their bioactive compounds and nutritional synergy. Radix Astragali (RA), a traditional Chinese medicine with medicine–food homology, has a long history of application in China. Based on a review of relevant literature, this article discusses the historical background, modern research, therapeutic functions, and mechanisms of RA in the treatment of chronic metabolic diseases. Modern studies have shown that RA contains a variety of bioactive components and demonstrates efficacy in managing diabetes, hyperlipidemia, and hyperuricemia. Its mechanisms of action involve modulation of the insulin signaling pathway, regulation of lipid metabolism-related enzyme activity, promotion of uric acid excretion, and other processes. Notably, RA exhibits certain common therapeutic effects across hyperglycemia, hyperlipidemia, and hyperuricemia. Through modulation of the gut microbiota and inhibition of inflammatory pathways, RA exerts synergistic, multitarget effects that improve metabolic disorders associated with chronic metabolic diseases.

Objective To investigate the predictive value of D-dimer for in-hospital mortality and heart failure with reduced ejection fraction (HFrEF) in patients with acute myocardial infarction (AMI). Methods A total of 688 patients with AMI who were hospitalized at Zhongshan Hospital, Fudan University, from January 2020 to December 2023 were retrospectively enrolled. Demographic and clinical characteristics, laboratory findings, echocardiographic parameters, and in-hospital outcomes were collected. Patients were divided into four groups according to D-dimer quartiles, and trend tests were used to compare changes in each indicator with increasing D-dimer levels. The primary endpoints were in-hospital mortality and HFrEF. Multivariable logistic regression analysis was performed to assess the independent associations of D-dimer with in-hospital mortality and HFrEF. Receiver operating characteristic (ROC) curve analysis was used to evaluate its predictive performance. Results Differences and trend tests among four groups for age, creatinine, peak cardiac troponin T, N-terminal pro-brain natriuretic peptide (NT-proBNP), left ventricular ejection fraction, HFrEF incidence, and in-hospital mortality were statistically significant (P＜0.05). Multivariable logistic regression analysis showed that elevated D-dimer was associated with an increased risk of in-hospital mortality in patients with AMI (OR＝1.251, 95%CI 1.093–1.432, P＝0.001), and HFrEF (OR＝1.075, 95%CI 1.028–1.124, P＝0.002). ROC curve analysis showed that the area under the curve (AUC) of D-dimer for predicting in-hospital mortality and HFrEF were 0.871 and 0.716, respectively. At a cutoff value of 0.47 mg/L, the sensitivity and specificity of D-dimer in predicting HFrEF were 81.9% and 52.1%, respectively; at a cutoff value of 2.18 mg/L, the sensitivity and specificity of D-dimer in predicting in-hospital mortality were 63.6% and 93.8%, respectively. Restricted cubic spline analysis demonstrated significant non-linear associations between D-dimer and the risks of in-hospital mortality and HFrEF (P＜0.001). Conclusions Elevated D-dimer level is significantly associated with increased risks of in-hospital mortality and HFrEF in patients with AMI and shows acceptable predictive performance. As a simple and readily available laboratory biomarker, D-dimer may provide useful information for early risk stratification and clinical management in patients with AMI.

Objective To explore the mechanism of Kangliu Zengxiao Jiandu Prescription(KLJD)in enhancing the efficacy of cisplatin chemotherapy in non-small cell lung cancer(NSCLC)through network pharmacology and in vivo/in vitro experiments.Methods Components of KLJD were screened via the TCMSP database to identify active components and potential targets.Lung cancer-related genes were obtained from the GeneCards and OMIM databases.GO and KEGG pathway enrichment analysis was performed on drug-disease intersection targets using the Metascape database;molecular docking was performed between core target proteins and main active components.A Lewis lung cancer mouse model was established,and intervened with KLJD and cisplatin.Organ indexes and tumor inhibition rate were counted,and Western blot and RT-PCR were used to detect the expressions of key pathway target proteins and mRNA;A549 and H1299 cells were intervened with KLJD,and Western blot was used to detect key target protein expressions.Results Network pharmacology identified 74 active components and 20 key targets of KLJD,primarily involved in biological processes such as cell proliferation and inflammatory response,and pathways in cancer and PI3K/AKT signaling pathway;molecular docking revealed stable binding between EGFR and major compounds.Animal experiments demonstrated that,compared with the model group,the KLJD group showed significantly higher tumor inhibition rate(P<0.01)and downregulation of EGFR,AKT and PI3K protein and mRNA expression in tumor tissues(P<0.05).Compared with the cisplatin group,the combination group exhibited significantly enhanced tumor inhibition rate(P<0.01),elevated thymic and splenic indices(P<0.01),and decreased EGFR,PI3K and AKT protein and mRNA expressions(P<0.01).Cell experiments showed that KLJD concentration-dependently inhibited A549 and H1299 cell proliferation(IC50:14.72 mg/mL and 14.68 mg/mL,respectively).Combined with cisplatin,KLJD synergistically down-regulated EGFR PI3K and AKT protein expressions(P<0.01).Conclusion KLJD effectively enhances cisplatin's chemotherapeutic efficacy in NSCLC by inhibiting the EGFR/PI3K/AKT pathway while improving immune organ function.Its mechanism likely involves multi-target regulation,including suppression of tumor proliferation,promotion of apoptosis,and modulation of the immune microenvironment.

Objective To investigate the relationship between the mean platelet volume(MPV)to platelet count(PLT)ratio(MPV/PLT),blood urea nitrogen(BUN)to lipoprotein a[Lp(a)]ratio[BUN/Lp(a)]and the prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods A total of 106 patients with acute exacerbation of COPD admitted to the hospital from January 2021 to January 2024 were selected as the research objects.According to the prognosis,they were divided into sur-vival group(72 cases)and death group(34 cases).The results of routine laboratory tests,blood lipid and lipo-protein levels were compared between the two groups.Multivariate Logistic regression was used to analyze the influencing factors of death in patients with acute exacerbation of COPD.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of MPV/PLT and BUN/Lp(a)for the prognosis of pa-tients with acute exacerbation of COPD.Results Compared with the survival group,the invasive ventilation rate,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,C reactive protein(CRP),white blood cell count(WBC),MPV,BUN,MPV/PLT and BUN/Lp(a)were significantly increased in the death group(P＜0.05).The non-invasive ventilation rate,lymphocyte count,PLT and Lp(a)levels were signifi-cantly decreased(P＜0.05).Multivariate Logistic regression analysis showed that APACHE Ⅱ score,CRP,WBC,lymphocyte count,MPV,PLT,MPV/PLT,BUN,Lp(a)and BUN/Lp(a)were the influencing factors of death in patients with acute exacerbation of COPD(P＜0.05).ROC curve results showed that the sensitivity and specificity of MPV/PLT combined with BUN/Lp(a)for predicting the prognosis of patients with acute exacerbation of COPD were 88.2％and 84.7％,respectively,and the area under curve was 0.887.Conclusion MPV/PLT and BUN/Lp(a)are closely related to the prognosis of patients with acute exacerbation of COPD.The combination of MPV/PLT and BUN/Lp(a)has a high predictive value for the prognosis of patients.

Objective To construct and validate the efficacy of a risk prediction model for pneumothorax after CT-guided percutaneous pulmonary puncture biopsy(CT-PCNB)based on nomograms.Methods A total of 246 patients who underwent CT-PCNB examination in the hospital from October 2020 to October 2023 were selected and divided into training set(n=144)and validation set(n=102)using a random sampling method.In the training set,univariate and multivariate logistic regression analyses were performed to identify risk factors for pneumothorax after CT-PCNB.A nomogram model was constructed based on the identified risk factors,and its accuracy was validated using the validation set.Results Multifactorial logistic regression analysis showed that age≥60 years,concomitant underlying lung disease,lesion diameter<2 cm,distance from lesion to pleura≥10 mm,puncture through interlobular pleura,and≥2 pleural punctures were the risk factors for pneumothorax after CT-PCNB in the training set(P<0.05).A nomogram model was constructed based on these six factors.The ROC curve results for the training set showed an AUC of 0.852,sensitivity of 84.50%,and specificity of 67.50%.The nomogram model was validated using the validation set,with ROC curve results showing an AUC of 0.845,sensitivity of 83.00%,and specificity of 69.50%.There was no statistically significant difference between the predicted and actual values in both the training and validation sets(χ2=1.803,1.225;P>0.05),indicating clinical validity.Conclusion The nomogram model constructed based on the risk factors for pneumothorax after CT-PCNB has high predictive efficacy and is clinically meaningful.

Jaws and alveolar defects present significant challenges in reconstructive surgery and implant restoration.Calcium phos-phate(CaP)bioceramics are commonly used as bone substitute and play a crucial role in repairing bone defects.Recent studies have shown that T cells play an important regulatory role in bone regeneration.The studies on CaP bioceramics and T cells,including their subpopulations,in bone regeneration,and the mechanisms through which CaP bioceramics regulate the behavior of T cells has been re-viewed.

Objective:To investigate the relationship between thoracic aortic calcification (TAC) and autonomic nervous system (ANS) function in patients receiving continuous ambulatory peritoneal dialysis (CAPD).Methods:It was a cross-sectional study. The CAPD patients with dialysis duration >6 months between January and December 2022 were retrospectively enrolled. The baseline clinical data, heart rate variability (HRV) data such as standard deviation of all normal to normal intervals (SDNN), root mean square of successive differences between adjacent normal-to-normal intervals (RMSSD), high frequency (HF), very low frequency (VLF), low frequency (LF), LF/HF, acceleration capacity (AC) and deceleration capacity (DC), and skin sympathetic nerve activity (SKNA) were collected. TAC was defined as TAC score (TACS) >100 AU. The patients were divided into TACS >100 AU group and TACS≤100 AU group based on whether the thoracic aorta was calcified. The differences of those data between the two groups were compared. Logistic regression model was used to analyze the related factors of TAC. Spearman correlation analysis method was used to analyze the correlation between peripheral blood neuropeptide Y, ANS parameters, average amplitude SKNA (aSKNA) and TACS.　Cox regression model was used to analyze the risk factors of all-cause mortality in patients with CAPD.Results:The study included 106 CAPD patients with 50 males (47.2%), age of (46.04±11.10) years and dialysis duration of (41.55±30.52) months. TACS>100 AU group exhibited significantly lower heart rate ( t=2.015, P=0.046), DC ( t=2.131, P=0.035), LF/HF ( Z=3.332, P<0.001) and ln(LF/HF) ( t=3.326, P=0.001), and higher AC ( t=-2.392, P=0.019) than TACS≤100 AU group. Multivariate logistic regression analysis results showed that after adjusting for age and eosinophil count, lnVLF ( OR=0.66, 95% CI 0.45-0.98, P=0.038), lnLF ( OR=0.69, 95% CI 0.49-0.97, P=0.032), DC ( OR=0.79, 95% CI 0.64-0.99, P=0.039) and AC ( OR=1.32, 95% CI 1.04-1.68, P=0.021) were independently correlated with the risk of TAC. Spearman correlation analysis showed that neuropeptide Y level in peripheral blood was correlated with aSKNA ( r=0.23, P=0.017), lnSDNN ( r=-0.20, P=0.036) and TACS ( r=0.19, P=0.048). During the follow-up period of (25.8±4.2) months, 5 patients (4.72%) died, including 1 patient in the TACS≤100 AU group and 4 patients in the TACS>100 AU group. Compared with the survival group, the death group had higher TACS ( Z=-2.262, P=0.024) and lower LF/HF ( Z=-2.750, P=0.006). Cox regression analysis results showed that increased ln(LF/HF) was an independent influencing factor for all-cause mortality in CAPD patients ( HR=0.22, 95% CI 0.05-0.83, P=0.026). Conclusions:HRV parameters (lnVLF, lnLF, AC and DC) of CAPD patients are independently associated with TAC. The dysfunction of ANS in CAPD patients (especially the decreased vagus nerve activity) may promote TAC.