Objective:To investigate the effect of dapagliflozin on non-dipper blood pressure in patients with diabetic kidney disease(DKD).Methods:A total of 104 patients with DKD treated in the Department of Nephrology of Henan Provincial Hospital of Tradi-tional Chinese Medicine from January 2023 to January 2024 were selected as the study subjects.The patients were divided into a dapa-gliflozin group and a control group by the random number table method,with 52 patients in each group.The control group was given conventional Western medicine treatment,and the dapagliflozin group was additionally given dapagliflozin(10 mg/dose,once a day)on the basis of the treatment in the control group.Both groups re-ceived continuous treatment for 12 weeks.The following indicators and the incidence of adverse reactions after treatment were com-pared between the two groups,including blood glucose indicators[fasting plasma glucose(FPG),2-hour postprandial blood glucose(2 h PBG),and glycated hemoglobin(HbA1c)],renal function markers[serum cystatin C(CysC),blood urea nitrogen(BUN),se-rum creatinine(Scr),estimated glomerular filtration rate(eGFR),and urinary albumin/creatinine ratio(UACR)],24-h ambulatory blood pressure,proportion of non-dipper blood pressure and reversal rate of dipper blood pressure,blood electrolytes[potassium(K),sodium,chlorine,calcium,magnesium,and phosphorus],serum uric acid(SUA),and urine electrolytes[urine potassium,urine sodium(UNa),urine chlorine,urine calcium,urine magnesium(UMg),and urine phosphorus].Results:The FPG,2 h PBG,HbA1c,CysC,BUN,Scr,UACR,mean 24 h systolic blood pressure(24 h SBP),mean daytime systolic blood pressure,and mean nighttime diastolic blood pressure were decreased and the eGFR was elevated in both groups after treatment.The mean nighttime systolic blood pressure(nSBP),K,and SUA were decreased and the UNa and UMg were increased in the dapagliflozin group after treatment(P<0.05).Com-pared with the control group,the dapagliflozin group experienced decreases in CysC,BUN,Scr,UACR,24 h SBP,nSBP,K,and SUA and increases in eGFR,UNa,and UMg after treatment(P<0.05).The proportion of non-dipper blood pressure after treatment in the dapagliflozin group was lower than that in the control group and before treatment,and the reversal rate of dipper blood pressure was higher than that in the control group(P<0.05).During treatment,the incidence rates of adverse reactions was 3.85%in the dapa-gliflozin group and 5.77%in the control group(P=1.000).Conclusion:Dapagliflozin improves the renal function,decreases the noctur-nal blood pressure,and increases the reversal rate of dipper blood pressure in patients with DKD.Dapagliflozin promotes UNa excre-tion and decreases the SUA level,which may be the potential mechanism of reversing non-dipper blood pressure.

Objective To explore the perioperative safety and prognostic factors of sequential hepatectomy after conversion therapy using vascular interventional therapy(including transarterial chemoembolization and hepatic arterial infusion chemotherapy)combined with tyrosine kinase inhibitors(TKI)and programmed death-1(PD-1)inhibitors in patients with initially unresectable hepatocellular carcinoma.Methods The clinical data of 106 eligible HCC patients treated in Tumor Hospital Affiliated to Guangxi Medical University from Nov.2019 to Apr.2024 were retrospectively analyzed.The perioperative parameters and postoperative pathological outcomes were described in detail,and factors influencing prognosis were analyzed.Results The median operative time for hepatectomy after conversion therapy was 240 min,with a median blood loss of 200 mL.Intraoperative blood transfusion was required in 24(22.6％)patients.Postoperative adverse reactions occurred in 49.1％(52/106)of patients,with liver failure being the most common adverse reactions(23 patients,21.7％).One(0.9％)patient died during the perioperative period,while the remaining 105 patients were followed up for a median duration of 14.7 months,during which 49(46.2％)patients experienced recurrence.Among them,39(36.8％)cases experienced early recurrence(within 1 year),and 33(31.1％)cases had intrahepatic recurrence.Thirteen(12.3％)patients died during follow-up.The median recurrence-free survival(RFS)was 15.7 months,with 1-year and 2-year RFS rates being 56.9％and 40.3％,respectively.The median overall survival(OS)was not reached,with 1-year and 2-year OS rates being 94.2％and 85.3％,respectively.Multivariate Cox regression analysis demonstrated that achieving complete pathological response(hazard ratio[HR]=0.410,95％confidence interval[CI]0.172-0.980,P=0.045),presence of microvascular invasion(HR=2.423,95％CI 1.269-4.625,P=0.007),satellite nodules(HR=1.916,95％CI 1.014-3.620,P=0.045),and multiple tumors(HR=1.818,95％CI 1.012-3.241,P=0.046)were independent factors associated with postoperative recurrence.Conclusion For patients with initially unresectable hepatocellular carcinoma,vascular interventional therapy combined with TKI and PD-1 inhibitors followed by sequential hepatectomy may be a feasible treatment strategy,with manageable adverse reactions and promising efficacy.

Objective To explore the detection rate and distribution characteristics of gene mutations in pa-tients with non-small cell lung cancer,and to analyze their relationship with clinicopathological characteristics.Methods The genetic testing results and clinicopathological data of 213 patients with non-small cell lung cancer who underwent high-throughput genetic testing at the Gene Detection Center,Changchun Cancer Hos-pital from April 2020 to December 2023 were collected.High-throughput sequencing technology was used to detect mutations in 26 genes,and the relationship between the mutation frequency and its distribution and the clinicopathological characteristics of patients was analyzed.Results Among 213 patients with non-small cell lung cancer,192 cases(90.14％)had at least one gene mutation detected.Among them,the genes with rela-tively high mutation frequencies were TP53(60.56％),EGFR(46.48％),KRAS(14.55％),ALK fusion(11.74％),and PIK3CA(8.92％).There were 132 cases(30.28％)of evidence level for Class 1 drugs and 11 cases(2.52％)of evidence level for Class 2 drugs.The incidence of EGFR gene mutations was higher in women,non-smokers and patients with lung adenocarcinoma(P＜0.05).TP53 mutations usually occured in women,smokers and patients with stage Ⅳ.ALK mutations were more common in young patients,while KRAS mutations were more frequently seen in male smokers.Conclusion Analyzing the distribution charac-teristics of gene mutations in non-small cell lung cancer and their relationship with clinicopathological charac-teristics can provide a scientific basis for further optimizing genetic testing for patients with non-small cell lung cancer and offer guidance for clinical treatment.

Objective:To investigate the role of mechanosensor Yes-associated protein 1 (YAP1) in urothelial cells in inducing bladder dysfunction in a partial bladder outlet obstruction (pBOO) model.Methods:Ten female C57BL/6 mice were included in this study and randomly divided into pBOO and sham groups based on body weight using a stratified pairing method, with 5 mice in each group. The pBOO group underwent proximal urethral ligation surgery, while the sham group underwent a sham operation. Two weeks after surgery, the urinary pattern was analyzed using the urine spot test. The significant increase in urine spot numbers indicated the successful establishment of the pBOO model. The mice were then sacrificed, and bladder tissues were weighed and stained with hematoxylin and eosin (HE) to observe morphological changes. The bladder urothelial layer was further isolated, and total cell proteins were extracted to detect the expression levels of YAP1 protein using Western blotting. Mouse immortalized bladder urothelial cells were divided into three experimental groups: the negative control (NC) group, which was treated with YAP1-NC lentivirus; the overexpression (OE) group, which was treated with YAP1-OE lentivirus to induce YAP1 protein overexpression; and the verteporfin treatment (VP) group, which was treated with verteporfin on the basis of the OE group. Real-time quantitative PCR and Western blotting were used to verify the transcription and expression levels of YAP1 protein, the co-transcriptional activator TEAD4 protein, and the phosphorylated protein DRP1-616 (at serine 616) of dynamin-related protein 1 (DRP1). An ATP detection kit was used to measure the ATP release concentration in the NC, OE, and VP groups. The interaction between YAP1 and TEAD4 was investigated using co-immunoprecipitation, and the expression of the mitochondrial marker translocase of the outer mitochondrial membrane 20 (Tom20) was observed using immunofluorescence staining.Results:The results of the urine spot test showed that the number of urine spots on the filter paper in the pBOO group was higher than that in the sham group within 6 hours [(283.0±9.1) spots vs. (3.7±0.3) spots, P<0.01], and the urine spots were scattered. The bladder wet weight in the pBOO group was significantly higher than that in the sham group [(105.70±6.84) mg vs. (22.33±1.20) mg, P<0.01]. Histological observations revealed reduced bladder mucosal folds and increased detrusor muscle thickness in the pBOO group. The expression of YAP1 protein in the bladder urothelial cells of the pBOO group was significantly upregulated compared to the sham group [(1.26±0.08) vs. (0.50±0.04), P<0.01]. In vitro experiments showed that compared to the NC group, the OE group had significantly increased expression of DRP1-616 [(0.94±0.05) vs. (0.33±0.01), P<0.01] and higher ATP release concentration [(24.45±0.16) μmol/mg vs. (19.67±0.42) μmol/mg, P<0.01]. In contrast, the VP group had significantly decreased expression of DRP1-616 [(0.29±0.04) vs. (0.94±0.05), P<0.01] and lower ATP release concentration [(10.55±0.01) μmol/mg vs. (24.45±0.16) μmol/mg, P<0.01] compared to the OE group. Co-immunoprecipitation experiments using YAP1 and TEAD4 antibodies showed that YAP1 and TEAD4 proteins could interact and form a transcriptional complex to regulate ATP release. Immunofluorescence staining revealed increased expression of Tom20 in the OE group compared to the NC group [(104.20±3.28) vs. (74.51±3.87), P<0.01]. Conclusions:In the pBOO-induced bladder dysfunction model, YAP1 is highly expressed in urothelial cells. YAP1 forms a transcriptional complex with TEAD4 to regulate ATP release by promoting mitochondrial fission via DRP1-616 expression, which is a key mechanism underlying pBOO-induced bladder dysfunction.

Objective:To analyze the interference of an exogenous glucose test on urinary creatinine-related renal injury biomarkers in patients with chronic kidney disease (CKD).Methods:This cross-sectional study enrolled CKD patients who visited Peking University First Hospital between October 2023 and March 2024. The patients (age: 50±18 years) included 90 males and 70 females. Fresh morning urine samples were collected, totaling 160 samples. Each urine sample was divided into 5 aliquots,each containing 225 μl. One aliquot received 75 μl of deionized water as the control. The other aliquots received 75 μl of glucose solutions at concentrations of 120, 480, 960, and 1200 mmol/L, resulting in final glucose concentrations of 30, 120, 240, and 300 mmol/L in the urine samples, respectively. Urinary creatinine in each sample was measured using both the enzymatic method and the picric acid (Jaffe) method. The following ratios were calculated: urinary albumin-to-creatinine ratio (uACR), urinary protein-to-creatinine ratio (uPCR), urinary transferrin-to-creatinine ratio (uTRF/uCr), urinary α1-microglobulin-to-creatinine ratio (uA1M/uCr), urinary immunoglobulin G-to-creatinine ratio (uIgG/uCr), and urinary N-acetyl-β-D-glucosaminidase-to-creatinine ratio (uNAG/uCr).Results:Under high glucose concentrations, significant differences ( P<0.05) were observed between the enzymatic method and the picric acid method in measuring urinary creatinine-related renal injury biomarkers. At glucose concentrations of 30, 120, 240, and 300 mmol/L, the mean percentage biases for creatinine measured by the enzymatic method were -0.19%, -0.27%, -0.20%, and -0.21%, respectively. The mean percentage biases for creatinine measured by the picric acid method were 0.78%, 1.26%, 1.35%, and 1.38%, respectively, showing an increasing deviation between the results before and after glucose addition as the glucose concentration rose. For uACR measurement, the mean absolute biases using the enzymatic method were -0.01, 1.27, 0.95, and 1.10 mg/g at the respective glucose concentrations. Using the picric acid method, the mean absolute biases for uACR were -11.69, -14.98, -16.91, and-18.51 mg/g. The biases of the picric acid method were significantly higher than the those of the enzymatic method, and the absolute value of the mean biases increased with rising glucose concentration. For uPCR, uTRF/uCr, uA1M/uCr, uNAG/uCr, and uIgG/uCr, the deviations measured by the enzymatic method were consistently smaller than those measured by the picric acid method. Conclusions:The measurement of creatinine and related renal injury biomarkers by the enzymatic method is less affected by glucose concentration. In contrast, the measurement results obtained using the picric acid method are significantly affected by glucose concentration.

Objective:To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China.Methods:In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods. The long-term follow-up of all participants started from the completion of the resurvey in 2008 until the occurrence of incident ASCVD, death, loss to follow-up or until December 31, 2018. CKB ascertained outcome status (incident ASCVD) through death and disease registries and national health insurance databases, supplemented by active follow-up. Multivariate linear regression model was used to estimate the associations of anthropometric measurements at baseline survey and the first resurvey, and changes in these measurements with 3 indoles [indole, indole-3-acetic acid (IAA), and indole-3-propionic acid (IPA)]. Cox proportional hazard regression model was used to estimate the associations between indoles and the risk for ASCVD.Results:Anthropometric measurements at baseline survey or the first resurvey were negatively associated with plasma IPA level. The regression coefficient ( β) of baseline BMI (per 1.0 kg/m 2) with 0.1 standard deviation ( SD) IPA was -0.23 (95% CI: -0.36 - -0.10) (false discovery rate=0.004). After adjusting for baseline BMI, the β of baseline WC, WHR and BFP with 0.1 SD IPA were -0.09 (95% CI: -0.18 - -0.01), -0.12 (95% CI: -0.19 - -0.05), and -0.20 (95% CI: -0.32 - -0.08), respectively. The annual change in BMI (difference between BMI in 2008 and 2004 divided by the time interval) was associated with indole and IAA, with β of 1.40 (95% CI: 0.58 - 2.21) and -1.07 (95% CI: -1.91 - -0.23), respectively, at each 0.1 increase of SD. Over a median ( Q1, Q3) follow-up of 10.46 (10.36, 10.53) years after 2008 resurvey, 236 cases of ASCVD were recorded. IAA and IPA levels were negatively associated with the risk for ASCVD, with hazard ratios for one SD increase of IAA and IPA of 0.87 (95% CI: 0.76 - 0.99) and 0.84 (95% CI: 0.73 - 0.96), respectively. Conclusions:Our results suggested that anthropometric measurements and their changing trends affect the levels of plasma imicrobial tryptophan metabolite levels, decreased levels of IAA and IPA levels are associated with increased risk of ASCVD and indoles in plasma including IPA and IAA might be the mediating factors for adiposity-induced ASCVD.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Objective: To analyze the impact of maternal metal exposure during early pregnancy on the physical development of offspring at 1 and 3 years of age, so as to provide scientific evidence for reducing the adverse effects of heavy metals on their health. Methods: From 2024 to 2018, a total of 1 588 mother child pairs from the Jiangsu Birth Cohort (JBC) were included in this study. Multiple linear regression models, generalized estimating equations (GEE), and weighted quantile sum (WQS) regression models were used to assess the associations between 24 urinary metal mass concentrations (adjusted for specific gravity, SG) during early pregnancy and offspring growth outcomes, including length/height for age Z score(HAZ), weight for age Z score(WAZ), weight for length/height Z score(WHZ), and head circumference for age Z score(HCAZ) at 1 and 3 years of age. Results: After adjusting for confounders, GEE analysis revealed that each natural log unit increase in maternal urinary concentrations of vanadium, tin, cerium, lead, and uranium during early pregnancy was associated with an average reduction in HCAZ by 14.29%, 4.82%, 2.62 %, 5.04 %, and 8.33%, respectively, at 1 and 3 years of age (FDR- P <0.05). Multiple linear regression analysis revealed that increased urinary vanadium concentration was associated with reduced HAZ at 1 year of age, while increased urinary concentrations of vanadium, chromium, tin, antimony, and uranium were associated with reduced HCAZ at 1 year of age (FDR- P <0.05). In the WQS regression model, each unit increase in the WQS index was associated with a 22.64% reduction in HCAZ at 1 year of age, with tin (22.2%) contributing the highest weight, followed by uranium (16.2%), lead (11.5%), vanadium (10.0%), arsenic (6.5%), and chromium (5.0%). Conclusions Prenatal exposure to specific metals and their mixtures may significantly impact the physical development of offspring at 1 and 3 years of age, particularly head circumference. These findings highlight the need to enhance monitoring of maternal metal exposure during early pregnancy to reduce the potential health risks posed by environmental metal pollution to infants and young children.

Traditional Chinese medicine （TCM） compound prescriptions serve as crucial practical embodiments of TCM theoretical frameworks， characterized by their complex multi-component composition and multi-target interactions. The research on the material basis of their pharmacological effects has gradually become the key to promoting the modernization of TCM. In recent years， new ideas and theories regarding the research on pharmacodynamic substance basis of TCM compound prescriptions have been continuously proposed. This review systematically summarizes and reviews analytical techniques such as targeted fishing technology， spectrum-effect relationship analysis， serum pharmacochemistry， network pharmacology， high-throughput screening， and cell membrane chromatography. It is found that these techniques exhibit unique advantages in areas including target-specific analysis， component-pharmacological effect correlation analysis， identification of the material basis in vitro and in vivo， prediction of multi-target mechanisms， efficient screening of active ingredients， and analysis of interactions between cell membrane receptors. These techniques compensate for the shortcomings of traditional research methods， enhance the systematicness and precision of research on pharmacodynamic substance based TCM compound prescriptions， and can provide theoretical support for the promotion and clinical application of TCM compound prescriptions.