Diabetic nephropathy （DKD）， as a common microvascular complication of diabetes mellitus （DM）， is a major cause of end-stage renal disease （ESRD）. Its clinical manifestations include increased urinary protein excretion， thickening of the glomerular basement membrane， and renal tubulointerstitial fibrosis. The pathogenesis of DKD is complex and involves multiple factors， including disordered glucose metabolism， hemodynamic alterations， and oxidative stress. Although modern medical approaches can alleviate certain symptoms， they still have limitations such as insufficient therapeutic targeting and prominent adverse effects. The transforming growth factor-β/Smad （TGF-β/Smad） signaling pathway is not only a tissue fibrosis pathway that has attracted considerable attention in recent years， but also regulates multiple protein molecules， including the glomerular podocyte slit diaphragm protein Podocin， interleukin-1β （IL-1β）， and superoxide dismutase （SOD）， thereby participating in various pathological processes and ultimately mediating renal injury. Flavonoid compounds， owing to their sustained pharmacological effects， broad spectrum of action， and high safety profile， have become ideal candidates for targeted therapy research in DKD. Existing studies have shown that these compounds can exert inhibitory effects on renal fibrosis， alleviate inflammatory responses， protect podocytes， and reduce oxidative stress by regulating the interactions between the TGF-β/Smad signaling pathway and the aforementioned protein molecules， thereby maintaining renal structure and function， reducing proteinuria， and significantly improving DKD lesions. This review briefly outlines the composition and functions of the TGF-β/Smad signaling pathway， elucidates the mechanisms by which this pathway regulates DKD， and focuses on summarizing major studies from the past decade on flavonoid-based interventions in DKD through targeted inhibition of the TGF-β/Smad signaling pathway. Furthermore， it discusses the considerable therapeutic potential of flavonoids in the treatment of this disease， aiming to provide a scientific basis for future clinical prevention and treatment of DKD and to promote the development of targeted drugs.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective In order to shorten the transparency time of clear,unobstructed brain imaging cocktails and computational analysis(CUBIC),improve the transparency efficiency,and explore the possibility of applying hydrophilic tissue transparency technique,this study was conducted to optimize the perfusion of CUBIC technique and compare it with four hydrophilic tissue clearing method in terms of tissue transparency effect,transparency time,area change,volume change and adeno-associated virus(AAV)fluorescence retention.Methods Brain,liver,spleen and kidney of 6 adult Institute of Cancer Research(ICR)mice were subjected to clearing treatment by SeeDB,FRUIT,ScaleS and CUBIC method,respectively.The area and gray value of the samples were measured by Image J 1.8.0,and the volume before and after transparency was measured by drainage method to compare the transparency effect,time and size deformation of each group.Perfusion optimization of the CUBIC was performed by improving the perfusion rate with the optimal perfusion dose,each group of the experimental sample size was 6.Fluorescence preservation by different techniques was evaluated by injecting AAV in the motor cortex of 16 adult mice and taking the cervical spinal segments for transparency treatment after four weeks,and the fluorescence photographs were measured by Image J 1.8.0 to measure the mean fluorescent intensity.Results The optimal perfusion rate and dose of CUBIC was 15 ml/min and 200 ml respectively.For transparency ability and speed,the perfusion CUBIC had the lowest mean gray value and took the shortest time,while CUBIC consumed the longest time,and SeeDB,FRUIT,and ScaleS did not show good transparency ability.In terms of area and volume changes,several techniques showed different degrees of expansion after transparency of tissues or organs.In terms of fluorescence retention,perfusion CUBIC showed the best retention of green fluorescent protein(GFP)fluorescence signal,followed by CUBIC,ScaleS,FRUIT,and SeeDB.Conclusion Perfusion CUBIC technique shows the best tissue transparency,the shortest transparency time,and the most AAV fluorescence retention compared with other techniques.

Objective To investigate anxious and depressive emotions in patients underwent cervical cancer surgery and to analyze its influencing factors.Methods A total of 304 patients who underwent primary cervical cancer surgery in Obstetrics and Gynecology Hospital,Fudan University from Oct 2018 to Jun 2021,were recruited to evaluate the clinical effect based on cervical cancer-patient reported outcome 137 scale(CC-PRO137 scale).This study focused on dimensions of depressive and anxious emotions within this scale and explored their influencing factors.Results The average scores of their depressive and anxious emotions within half a year after surgery were 4.141±0.798 and 4.020±0.616,respectively;and the average scores of depressive and anxious emotions more than one year after surgery were 4.250±0.802 and 4.097±0.613,respectively.By using statistical methods including analysis of variance and t test,it was found that there were statistically significant differences in the scores of depression and anxiety among cervical cancer patients under different postoperative adjuvant treatments and at different postoperative time points(P<0.05).However,there were no statistically significant differences in the scores of depression and anxiety among patients with different ages,surgical methods,and clinical stages of cervical cancer(P>0.05).Conclusion Patients underwent cervical cancer surgery may suffer varying degree of depressive and anxious emotions,and the main influencing factors are different adjuvant treatments and the length of time for postsurgical recovery.Medical practitioners should strengthen comfort and care for patients with cervical cancer,especially those who receive chemotherapy and radiotherapy treatments and are in the primary stage after the surgery.Formulating positive intervention measures can effectively reduce the psychological pain of patients and safeguard their physical and mental health.

The liver is a solid organ with excellent regenerative potential. Its regenerative ability is closely related to liver disease. In-depth study of the mechanism of liver regeneration is of great significance for understanding liver biology and developing regenerative medicine. The mouse has been the most widely used animal model of liver regeneration for its technical, economic and anatomical advantages. The current mouse models of liver regeneration include partial liver resection, chemical drug injury, and genetic engineering models. In this review, we compared their advantages, shortcomings and application prospects to provide reference for future research.

Objective:To explore the factors influencing clinicians'adoption of new medical technologies and provide data and strategic support to promote the clinical application of innovative medical technologies.Methods:Based on the Unified Theory of Acceptance and Use of Technology ( UTAUT),a model was constructed to examine the factors influencing clinicians'adoption of new medical technologies.The model was revised through expert interviews,and data were collected via a survey questionnaire.Structural equation modeling ( SEM) was conducted using AMOS software to test both the direct and mediating effects.Results:Clinical performance expectancy ( P<0.001 ),DRG/DIP policy impact ( P=0.009 ),patient willingness ( P<0.001 ),and facilitating conditions ( P<0.001 ) had significant direct effects on usage intention.Usage intention ( P=0.005 ),patient willingness ( P=0.021 ),and facilitating conditions ( P<0.001 ) had significant direct effects on usage behavior.Usage intention mediated the relationship between clinical performance expectancy ( P<0.001 ),DRG/DIP policy impact ( P=0.030 ),patient willingness ( P<0.001 ),facilitating conditions ( P<0.001 ),and usage behavior.Conclusions:Clinical performance expectancy is the primary factor influencing clinicians'willingness to adopt new medical technologies.DRG/DIP payment methods somewhat reduce usage intention,while facilitating conditions are the key factor influencing usage behavior.Policy recommendations should focus on these key factors to promote the clinical application of innovative medical technologies.

Objective:To explore the factors influencing clinicians'adoption of new medical technologies and provide data and strategic support to promote the clinical application of innovative medical technologies.Methods:Based on the Unified Theory of Acceptance and Use of Technology ( UTAUT),a model was constructed to examine the factors influencing clinicians'adoption of new medical technologies.The model was revised through expert interviews,and data were collected via a survey questionnaire.Structural equation modeling ( SEM) was conducted using AMOS software to test both the direct and mediating effects.Results:Clinical performance expectancy ( P<0.001 ),DRG/DIP policy impact ( P=0.009 ),patient willingness ( P<0.001 ),and facilitating conditions ( P<0.001 ) had significant direct effects on usage intention.Usage intention ( P=0.005 ),patient willingness ( P=0.021 ),and facilitating conditions ( P<0.001 ) had significant direct effects on usage behavior.Usage intention mediated the relationship between clinical performance expectancy ( P<0.001 ),DRG/DIP policy impact ( P=0.030 ),patient willingness ( P<0.001 ),facilitating conditions ( P<0.001 ),and usage behavior.Conclusions:Clinical performance expectancy is the primary factor influencing clinicians'willingness to adopt new medical technologies.DRG/DIP payment methods somewhat reduce usage intention,while facilitating conditions are the key factor influencing usage behavior.Policy recommendations should focus on these key factors to promote the clinical application of innovative medical technologies.

Objective: To investigate the predictive value of serum lactate dehydrogenase (LDH) in the prognosis of patients with paraquat (PQ) poisoning, and to provide evidence for early prognosis assessment. Methods: In February 2022, 50 patients with PQ poisoning who completed serum LDH detection admitted to the Department of Emergency Medicine, the First Affiliated Hospital of Wenzhou Medical University from January 2012 to December 2021 were selected as the observation group, and 50 healthy physical examination personnel were randomly selected as the control group. Patients with PQ poisoning were divided into survival group and death group according to the prognosis, and the differences of blood routine routine, liver and kidney function and other indicators in the first admission between the two groups were compared. Multivariate logisitic regression model was established, ROC curve was drawn, and the influencing factors of prognosis of patients with PQ poisoning were analyzed. Results: Compared with the control group, the white blood cell count (WBC), total bilirubin (TBil), alanine aminotransferase (ALT), aspartate aminotransferase (AST), LDH, glucose (GLU) and creatinine (Cr) in observation group were significantly increased, while albumin (ALB) and total cholesterol (TC) were significantly decreased (P<0.05). Univariate analysis showed that WBC, elevated LDH (>247 U/L), TBil, ALT, AST and Cr were significantly different between PQ poisoning survival group and death group (P<0.05). Multivariate logisitic regression analysis showed that elevated serum LDH was an independent risk factor for the prognosis of PQ poisoning patients (OR=9.95, 95%CI: 1.34-73.82, P=0.025). The area under the ROC curve of LDH was 0.811 (95%CI: 0.692-0.930). When the cut-off value was 340 U/L, the sensitivity was 0.889 and the specificity was 0.719. Log-rank test showed that there was a statistically significant difference in survival rate between the normal LDH group and the elevated LDH group (P=0.001) . Conclusion: Serum LDH has a good predictive value in evaluating the prognosis of patients with PQ poisoning. Elevated LDH is a risk factor for poor prognosis of patients with PQ poisoning.

Objective: To explore the efficacy and safety of Venetoclax combined with multidrug chemotherapy in patients with relapsed or refractory early T-cell precursor acute lymphoblastic leukemia (R/R ETP-ALL) . Methods: This study retrospectively analyzed 15 patients with R/R ETP-ALL who received Venetoclax combined with multidrug chemotherapy from December 2018 to February 2022. Among them, eight cases were combined with demethylated drugs, four cases were combined with demethylated drugs and HAAG chemotherapy regimen, two cases were combined with demethylated drugs and CAG regimen, and one case was combined with Cladribine. Specific usage and dosage of Venetoclax: 100 mg on day 1, 200 mg on day 2, 400 mg on day 3-28, orally; when combined with azole antifungal drugs, dosage was reduced to 100 mg/d. Results: Fifteen patients (10 males and 5 females) with R/R ETP-ALL were treated with Venetoclax and multidrug chemotherapy with a median age of 35 (12-42) years old. Of 4 refractory and 11 relapsed patients, the efficacy was evaluated on the 21th day following combined chemotherapy: the overall response rate, the complete response (CR) rate, and the CR with incomplete hematological recovery (CRi) rate were 67.7% (10/15), 60.0% (9/15), and 6.7% (1/15), respectively. For the overall study population, the 12-month overall survival (OS) rate was 60.0%, and the median OS was 17.7 months. The disease-free survival (DFS) rate of all CR patients at 12 months was 60.0%, and the median DFS did not reach. About 14 patients had Ⅲ-Ⅳ hematological toxicity, but these adverse reactions were all controllable. No adverse reaction in the nervous system and tumor lysis syndrome occurred in this study, and no adverse reaction of organs above grade Ⅲ occurred. Conclusion: Venetoclax combined with multidrug chemotherapy may be a safe and promising treatment option for patients with R/R ETP-ALL.
Male ; Female ; Humans ; Adult ; Retrospective Studies ; Treatment Outcome ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Precursor Cells, T-Lymphoid ; Leukemia, Myeloid, Acute/drug therapy*

Humans ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Hydrazines/therapeutic use* ; Leukemia, Myeloid, Acute/drug therapy*