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.

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.

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.

Objective:To investigate ferroptosis-related genes in pterygium tissue by using bioinformatic analysis.Methods:The pterygium gene expression profile dataset GSE2513 was downloaded from the Gene Expression Omnibus Database to identify differentially expressed genes (DEGs) related to ferroptosis.Functional annotation and enrichment analysis of the DEGs were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG).Hub genes were identified from the DEGs using LASSO logistic regression analysis and a support vector machine recursive feature elimination (SVM-REF).Single-gene GSEA analysis was performed on hub genes and a competitive endogenous RNA interaction network was constructed to determine the RNA regulatory relationships of the hub genes.Pterygium tissue samples from 9 patients (9 eyes) undergoing pterygium surgery and conjunctival tissue samples from 9 patients (9 eyes) undergoing strabismus surgery who visited the First Affiliated Hospital of Zhengzhou University were collected from 2022 to 2023 during surgery, and the expression of hub genes and ferroptosis-related marker genes was detected by fluorescence quantitative PCR.This study followed the Declaration of Helsinki, and the study protocol was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (No.2022-KY-0006-001).Results:In the dataset, there were 37 ferroptosis-related genes with significant expression differences, including 16 upregulated genes and 21 downregulated genes.GO analysis revealed significant enrichment in responses to external stimuli, responses to nutritional levels, responses to extracellular stimuli, responses to oxidative stress and starvation, transcription regulatory complexes, and RNA polymerase Ⅱ transcription regulatory complexes, RNA polymerase Ⅱ-specific transcription, and DNA-binding transcription.KEGG analysis showed that the DEGs were primarily enriched in ferroptosis and NOD-like receptor signaling pathways.LASSO regression analysis identified DUOX2, ATF3, NDRG1, EGR1, and ALDH3A2 as hub genes, and SVM-REF analysis identified NDRG1, NF2, IDH2, DUOX2, CHP1, ATF3, and SREBF1 as hub genes. DUOX2, ATF3, and NDRG1 were identified as the intersection hub genes.Single-gene GSEA analysis revealed that DUOX2 was enriched in the cell adhesion molecule CAMs pathway, the heparan sulfate glycosaminoglycan biosynthesis pathway, and the glycosaminoglycan biosynthesis ganglioside series pathway. ATF3 and NDRG1 were enriched in the PPAR signaling pathway and other pathways.Compared with normal conjunctival tissue, the relative expression levels of the ferroptosis markers PTGS2 and TFRC mRNA were increased in pterygium tissue, while the relative expression levels of FTH1, GPX4, SLC40A1, HSPB1, and NFE2L2 mRNA were decreased, with statistically significant differences ( t=12.220, 16.580, 5.664, 6.455, 8.691, 9.883, 17.590; all P<0.01). Conclusions:Ferroptosis may play an important role in the pathogenesis of pterygium. DUOX2, ATF3, and NDRG1 may be the hub genes affecting this complicated process.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.

Objective:To investigate ferroptosis-related genes in pterygium tissue by using bioinformatic analysis.Methods:The pterygium gene expression profile dataset GSE2513 was downloaded from the Gene Expression Omnibus Database to identify differentially expressed genes (DEGs) related to ferroptosis.Functional annotation and enrichment analysis of the DEGs were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG).Hub genes were identified from the DEGs using LASSO logistic regression analysis and a support vector machine recursive feature elimination (SVM-REF).Single-gene GSEA analysis was performed on hub genes and a competitive endogenous RNA interaction network was constructed to determine the RNA regulatory relationships of the hub genes.Pterygium tissue samples from 9 patients (9 eyes) undergoing pterygium surgery and conjunctival tissue samples from 9 patients (9 eyes) undergoing strabismus surgery who visited the First Affiliated Hospital of Zhengzhou University were collected from 2022 to 2023 during surgery, and the expression of hub genes and ferroptosis-related marker genes was detected by fluorescence quantitative PCR.This study followed the Declaration of Helsinki, and the study protocol was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (No.2022-KY-0006-001).Results:In the dataset, there were 37 ferroptosis-related genes with significant expression differences, including 16 upregulated genes and 21 downregulated genes.GO analysis revealed significant enrichment in responses to external stimuli, responses to nutritional levels, responses to extracellular stimuli, responses to oxidative stress and starvation, transcription regulatory complexes, and RNA polymerase Ⅱ transcription regulatory complexes, RNA polymerase Ⅱ-specific transcription, and DNA-binding transcription.KEGG analysis showed that the DEGs were primarily enriched in ferroptosis and NOD-like receptor signaling pathways.LASSO regression analysis identified DUOX2, ATF3, NDRG1, EGR1, and ALDH3A2 as hub genes, and SVM-REF analysis identified NDRG1, NF2, IDH2, DUOX2, CHP1, ATF3, and SREBF1 as hub genes. DUOX2, ATF3, and NDRG1 were identified as the intersection hub genes.Single-gene GSEA analysis revealed that DUOX2 was enriched in the cell adhesion molecule CAMs pathway, the heparan sulfate glycosaminoglycan biosynthesis pathway, and the glycosaminoglycan biosynthesis ganglioside series pathway. ATF3 and NDRG1 were enriched in the PPAR signaling pathway and other pathways.Compared with normal conjunctival tissue, the relative expression levels of the ferroptosis markers PTGS2 and TFRC mRNA were increased in pterygium tissue, while the relative expression levels of FTH1, GPX4, SLC40A1, HSPB1, and NFE2L2 mRNA were decreased, with statistically significant differences ( t=12.220, 16.580, 5.664, 6.455, 8.691, 9.883, 17.590; all P<0.01). Conclusions:Ferroptosis may play an important role in the pathogenesis of pterygium. DUOX2, ATF3, and NDRG1 may be the hub genes affecting this complicated process.

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.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.

Objective:To evaluate the clinical efficacy and the mid- and long-term follow-up outcomes of transanal anaplasty for treating rectovestibular fistula.Methods:The clinical data of 68 female infants diagnosed with rectovestibular fistula undergoing transanal anoplasty at the Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University from Oct 2014 to Dec 2023 was collected. Postoperative complications, perineal and anal appearances, and defecation function of postoperative children aged 3 years or older were recorded.Results:After surgery 68 children followed-up for 6 months of recent with short-term complications in 6 cases, including 3 cases of incision infection, 2 cases of rectal mucosal prolapse, and 1 case of anal stenosis. Rintala score was (18.65±1.99). Twenty-five children underwent anorectal manometry, no significant differences were observed in the maximal systolic pressure of the anal canal( t=-0.596, P=0.563) and the maximum systolic time( t=-0.183, P=0.854). The resting pressure( t=-3.050, P=0.005), functional length( t=2.696, P=0.012), and positive rate of rectal anal inhibitory reflex( χ2=6.382, P=0.012) of the anal canal were significantly lower than those of the normal group( P<0.05). Conclusions:Transanal anaplasty for the treatment of rectovestibular fistula in girls has a low incidence of complications. It results in a normal perineal body appearance, good anal bowel control, and high quality of life.