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.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

Anxiety disorder is a major symptom of autism spectrum disorder (ASD) with a comorbidity rate of ~40%. However, the neural mechanisms of the emergence of anxiety in ASD remain unclear. In our study, we found that hyperactivity of basolateral amygdala (BLA) pyramidal neurons (PNs) in Shank3 InsG3680 knock-in (InsG3680^+/+) mice is involved in the development of anxiety. Electrophysiological results also showed increased excitatory input and decreased inhibitory input in BLA PNs. Chemogenetic inhibition of the excitability of PNs in the BLA rescued the anxiety phenotype of InsG3680^+/+ mice. Further study found that the diminished control of the BLA by medial prefrontal cortex (mPFC) and optogenetic activation of the mPFC-BLA pathway also had a rescue effect, which increased the feedforward inhibition of the BLA. Taken together, our results suggest that hyperactivity of the BLA and alteration of the mPFC-BLA circuitry are involved in anxiety in InsG3680^+/+ mice.
Animals ; Prefrontal Cortex/metabolism* ; Basolateral Nuclear Complex/metabolism* ; Mice ; Anxiety/metabolism* ; Nerve Tissue Proteins/genetics* ; Male ; Gene Knock-In Techniques ; Pyramidal Cells/physiology* ; Mice, Transgenic ; Neural Pathways/physiopathology* ; Mice, Inbred C57BL ; Microfilament Proteins

Objective: To investigate the association between overweight, obesity, central obesity and hypertension, so as to provide the basis for formulating targeted hypertension prevention and control strategies. Methods: Permanent residents aged ≥18 years were selected in Wenzhou City, Zhejiang Province from June 2023 to August 2024 by a multistage cluster random sampling method. Data on demographic information, lifestyle, height, weight, waist circumference (WC), blood pressure, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. The prevalence of hypertension was calculated and standardized using the data of the Sixth National Population Census in 2010. Body mass index (BMI) was calculated to determine overweight and obesity, while WC was used to identify central obesity. The association between overweight, obesity, central obesity and hypertension were analyzed using multivariable logistic regression models. Results: A total of 38 593 residents were surveyed, including 19 481 (50.48%) males and 19 112 (49.52%) females. The median age was 46.00 (interquartile range, 26.00) years. The rates of overweight, obesity, and central obesity were 32.74% (12 634 individuals), 10.27% (3 963 individuals), and 27.87% (10 755 individuals), respectively. There were 11 813 cases of hypertension, with a prevalence and standardized prevalence of 30.61% and 24.41%, respectively. Multivariable logistic regression analysis showed that after adjusting for demographic information, lifestyle, diabetes and dyslipidemia, the likelihood of hypertension in the overweight and obesity groups was 1.927 (95%CI: 1.815-2.045) times and 3.724 (95%CI: 3.404-4.073) times that of the normal BMI group, respectively. The likelihood of hypertension in the central obesity group was 2.346 (95%CI: 2.214-2.486) times that of the normal WC group. The likelihood of hypertension in the central obesity only, overweight only, overweight with central obesity, obesity only and obesity with central obesity groups was 1.586 (95%CI: 1.391-1.809), 1.704 (95%CI: 1.582-1.835), 2.433 (95%CI: 2.254-2.626), 1.768 (95%CI: 1.424-2.194), and 4.466 (95%CI: 4.053-4.921) times that of the normal BMI and WC group, respectively. Conclusions Overweight, obesity and central obesity were all associated with hypertension among adult residents. The highest likelihood of hypertension was observed among adult residents with both general obesity and central obesity.

Objective To prepare glucose transporter 1(Glut1)-targeted doxorubicin(DOX)-loaded liposomes(doxorubicin/polyphyllin H-liposomes,DOX/ppH-LPs)using polyphyllin H(ppH)instead of cholesterol as the liposomal membrane material,and to investigate their in vitro synergistic anti-tumor activity against non-small cell lung cancer(NSCLC).Methods DOX/ppH-LPs were prepared using thin-film hydration,and the formulation was optimized by single-factor investigation.The optimized DOX/ppH-LPs were characterized for morphology,particle size,polydispersity index(PDI),and zeta potential with transmission electron microscopy(TEM)and dynamic light scattering(DLS).Drug loading DL%was determined by high-performance liquid chromatography(HPLC).The storage stability was evaluated by observing in PBS at 4℃for 7 d,and the serum stability was observed in DMEM containing 10%fetal bovine serum(FBS)at 37℃for 48 h.In vitro drug release was studied in PBS at pH 7.4 and pH 5.0 values,respectively.Human NSCLC A549 cells were subjected as the model,MTT assay was performed to detect the proliferation inhibition by DOX/ppH-LPs at different concentrations(0.5,5.0,15.0 μg/mL)and the control group(ppH+DOX/LPs,a physical mixture of free ppH and DOX-loaded liposomes).Fluorescence microscopy was used to observe cellular uptake of DOX/ppH-LPs and DOX/LPs(containing 5 μg/mL DOX)at 15 min and 2 h.Live/dead cell staining was applied to assess apoptosis/necrosis induced by formulations(15 μg/mL DOX)after 48 h incubation.Transwell assay was conducted to evaluate inhibitory effect on cell migration and invasion,and the targeting property and in vitro synergistic anti-NSCLC activity of DOX/ppH-LPs were then comprehensively evaluated.Results The optimal formulation of DOX/ppH-LPs was determined as hydration temperature at 50℃,6 mg DOX,2 mg ppH,and 24 mg lecithin.The prepared DOX/ppH-LPs were in spherical shape,uniform distribution,and at an average particle size of 145.13±22.14 nm,a PDI of 0.15±0.05,a zeta potential of-23.92±1.73 mV,and a DL of 10.13±0.71%for DOX and(1.22±0.21)%for ppH.DOX/ppH-LPs maintained stable particle size,PDI,and exhibited significantly unchanged zeta potential after storage in PBS at 4℃for 7 d or incubation in DMEM containing 10%FBS at 37℃for 48 h,demonstrating excellent physical and serum stability.Both liposomes showed slow release at pH 7.4 value,while drug release was significantly accelerated at pH 5.0 value(P<0.05),indicating pH-sensitive release characteristics.MTT assay revealed that DOX/ppH-LPs exerted significantly stronger cytotoxicity against A549 cells than the ppH+DOX/LPs control group(P<0.05).Compared with ppH+DOX/LPs,DOX/ppH-LPs showed remarkably enhanced cellular uptake in A549 cells(P<0.05),with more DOX localized in the nucleus.Live/dead cell staining showed that at the same DOX concentration(15 μg/mL),the proportion of apoptotic/necrotic cells induced by DOX/ppH-LPs was significantly higher than that of the DOX/LPs control group.Transwell assay demonstrated that there were significantly less cells migrating and invading through the membrane in the DOX/ppH-LPs group than the ppH+DOX/LPs group.Conclusion Glut1-targeted doxorubicin-loaded liposomes(DOX/ppH-LPs)constructed by substituting cholesterol with ppH can target NSCLC cells,significantly enhance the in vitro synergistic anti-NSCLC activity of DOX and ppH.

The scientific interpretation of the theory of medicinal properties of TCM is a research hotspot in the modernization of TCM. It is of great value to clarify the property and degree of cold and heat in Chinese materia medica for guiding clinical precise medication. In recent years, the research on the cold and heat properties of Chinese materia medica has been carried out at the animal, cell and molecular levels. Based on the objective material basis of medicinal properties, from the perspective of biological effects such as thermodynamics and multiomics; with the help of infrared thermal imaging and other technologies for analysis; forming a variety of research models such as "property-structure relationship". Related research has developed from a single material component or index to a new model that tends to integrate multi-source information and multi-dimensional data. However, how to deal with the problems of large sample size, strong redundancy, high heterogeneity, and how to integrate multi-dimensional information are still research difficulties. With its powerful computing and learning ability, machine learning can show good discrimination and prediction ability in the study of cold and hot properties of Chinese materia medica, and play an important role in the study of cold and hot properties of Chinese materia medica. At present, the most widely used algorithms are linear discriminant analysis, Logistic discriminant analysis, support vector machine, decision tree, random forest and so on. The data dimension of the existing research needs to be enriched, the algorithm has room for further optimization, and a more detailed discriminant model of cold and hot properties of Chinese materia medica needs to be established.

Objective:To compare the efficacy and safety of irradiation-incorporated and chemotherapy only-based myeloablative conditioning regimens in haploidentical hematopoietic stem cell transplantation (haplo-HSCT) for patients with high-risk myeloid malignancies.Methods:This study retrospectively collected clinical data from 63 high-risk acute myeloid leukemia/myelodysplastic syndrome (AML/MDS) patients who underwent haplo-HSCT at the Fifth Medical Center of the Chinese PLA General Hospital from January 2015 to December 2019. These patients were classified into the irradiation ( n = 17) and chemotherapy ( n = 46) groups based on different conditioning regimens. The differences between the two groups were compared in terms of hematopoietic reconstitution, cumulative incidence of acute/chronic graft-versus-host diseases (aGVHD and cGVHD), non-relapse mortality (NRM), relapse rate (RR), overall survival (OS), and disease-free survival (DFS), followed by the analysis of prognostic factors. Results:The median follow-up time for the irradiation and chemotherapy groups was 78.5 and 72.3 months, respectively. The median time for neutrophil engraftment was 14.0 days in the irradiation group and 14.5 d in the chemotherapy group, and for platelet engraftment was 15.0 and 13.0 d, respectively. As a result, the two groups showed no statistically significant differences in hematopoietic reconstitution ( P > 0.05). The cumulative incidence of aGVHD and cGVHD was higher in the irradiation group compared to the chemotherapy group, yet showing no statistically significant differences ( P > 0.05). Specifically, the cumulative incidence of grade Ⅱ-Ⅳ aGVHD within 100 d was 29.4% and 21.7% for the irradiation and chemotherapy groups, respectively. The cumulative incidence of grade Ⅲ-Ⅳ aGVHD was 23.5% and 13.0%, respectively. The cumulative incidence of severe cGVHD within five years was 11.8% in the irradiation group and 8.7% in the chemotherapy group. In terms of long-term survival, the cumulative 5\|year RR and NRM were 20.2% and 28.4% in the irradiation group, 5.9% and 23.9% in the chemotherapy group, respectively, showing no statistically significant differences ( P > 0.05). The 5-year DFS and OS rates were 73.9% and 47.7% in the irradiation group, and 81.1% and 54.4% in the chemotherapy group, respectively, without statistically significant differences ( P > 0.05). Notably, the irradiation group manifested more favorable DFS and OS survival curves compared to the chemotherapy group. The survival curves indicate that the irradiation-incorporated regimen exhibited better trends in OS, DFS, and cGVHD-free relapse-free survival (GRFS). However, multivariate analysis did not reveal that irradiation conditioning is an independent prognostic factor affecting survival [ HR = 0.532 (0.163-1.735), 0.370 (0.091-1.516), 0.683 (0.248-1.882), P > 0.05]. Conclusions:In haplo-HSCT for high-risk myeloid malignancies, the irradiation-incorporated conditioning regimen demonstrates lower RR and NRM, higher DFS and OS, and potentially superior survival outcomes compared to the chemotherapy only-based regimen. Therefore, the irradiation-incorporated conditioning regimen may be preferentially considered in haplo-HSCT.