ObjectiveTo investigate the potential mechanism of the Jianpi Yishen Huatan Formula （健脾益肾化痰方，JPYSHF） in treating squamous cell lung cancer through the LncRNA ALAL-1/USP4/HDAC2 signaling pathway. MethodsForty Sprague-Dawley （SD） rats were randomly divided into a control group and high-， medium-， and low-dose JPYSHF group with 10 rats in each group. Rats in the JPYSHF groups were administered JPYSHF concentrated liquid at doses of 45， 30， and 15 g/（kg·d） via intragastric gavage， respectively， while the control group received 10 ml/（kg·d） of normal saline， once daily for 10 consecutive days before preparation of drug containing serum. Human lung squamous carcinoma SK-MES-1 cells were divided into a control group and low-， medium-， and high-dose JPYSHF-medicated serum groups. The control group was cultured with 10% saline-containing serum， while the JPYSHF groups were cultured with 10% low-， medium-， or high-dose medicated serum. After 48 hours of incubation， flow cytometry was used to detect apoptosis rates， and a cell scratch assay was performed to evaluate migration areas at 0 h and 24 h to calculate migration rate. Additional SK-MES-1 cells were divided into control serum， JPYSHF-medicated serum （low-， medium-， high-） dose， LncRNA-silenced group （transfected with ALAL-1 siRNA）， USP4-inhibited group （treated with 35 μmol/L PR-619， a deubiquitinase inhibitor）， and HDAC2-inhibited group （treated with 60 μmol/L Vorinostat）. After 24 and 48 hours of culture， cell viability was assessed using the CCK-8 assay； LncRNA ALAL-1， USP4， and HDAC2 mRNA levels were quantified by qPCR after 24 hours； USP4 and HDAC2 protein levels were measured by Western Blot after 48 hours. ResultsCompared with the control serum group， the total apoptosis rate of cells in middle- and high-JPYSHF-medicated serum group significantly increased， and the cell migration rate of cells in the low-， middle- and high-JPYSHF-medicated serum group significantly decreased （P＜0.05 or P＜0.01）. The cell migration rate of the low-， medium- and high-JPYSHF-medicated serum groups decreased with the increase of concentration in a concentration-dependent manner （P＜0.05 or P＜0.01）. Compared with the control serum group at the same time， the cell viability at 24 h and 48 h significantly decreased in all groups （P＜0.05 or P＜0.01）. Compared with the low-JPYSHF-medicated serum group at the same time， the cell viability at 24 h and 48 h also decreased in the high-JPYSHF-medicated serum group and the LncRNA silencing group （P＜0.05）. Compared with the control serum group， the expression of USP4 and HDAC2 mRNA reduced in the low- and medium-dose JPYSHF-medicated serum groups and the USP4 inhibitor group， and the expression of LncRNA ALAL-1， USP4 and HDAC2 mRNA reduced in the high-dose JPYSHF-medicated serum group and LncRNA-silencing group， and HDAC2 mRNA expression reduced in the HDAC2 inhibitor group. USP4 and HDAC2 protein levels were reduced in cells of all groups except for USP4 protein level in HDAC2 inhibitor group （P＜0.05 or P＜0.01）. ConclusionJPYSHF-medicated serum inhibits proliferation and promotes apoptosis of human lung squamous carcinoma cells， and its mechanism of action may be related to its inhibition of the LncRNA ALAL-1/USP4/HDAC2 pathway， with best effect at a high concentration.

Colorectal cancer (CRC) is one of the leading causes of cancer-related morbidity and mortality worldwide, highlighting the urgent need for novel preventive and therapeutic strategies. Emerging research highlights the crucial role of the gut microbiota, including bacteria, fungi, viruses, and their metabolites, in the pathogenesis of CRC. Dysbiosis, characterized by an imbalance in microbial composition, contributes to tumorigenesis through immune modulation, metabolic reprogramming, and genotoxicity. Specific bacterial species, such as Fusobacterium nucleatum and enterotoxigenic Bacteroides fragilis , along with fungal agents like Candida species, have been implicated in CRC progression. Moreover, viral factors, including Epstein-Barr virus and human cytomegalovirus, are increasingly recognized for their roles in promoting inflammation and immune evasion. This review synthesizes the latest evidence on host-microbiome interactions in CRC, emphasizing microbial metabolites, such as short-chain fatty acids and bile acids, which may act as both risk factors and therapeutic agents. We further discuss the latest advances in microbiota-targeted clinical applications, including biomarker-assisted diagnosis, next-generation probiotics, and microbiome-based interventions. A deeper understanding of the role of gut microbiome in CRC pathogenesis could pave the way for diagnostic, preventive, and personalized therapeutic strategies.
Humans ; Dysbiosis/microbiology* ; Colorectal Neoplasms/metabolism* ; Gastrointestinal Microbiome/physiology* ; Animals

Saponins associated with Panax notoginseng (P. notoginseng) demonstrate significant therapeutic efficacy across multiple diseases. However, certain high-yield saponins face limited clinical applications due to their reduced pharmacological efficacy. This study synthesized and evaluated 36 saponin-1,2,3-triazole derivatives of ginsenosides Rg1/Rb1 and notoginsenoside R1 for anti-adipogenesis activity in vitro. The research revealed that the ginsenosides Rg1-1,2,3-triazole derivative a17 demonstrates superior adipogenesis inhibitory effects. Structure-activity relationships (SARs) analysis indicates that incorporating an amidyl-substituted 1,2,3-triazole into the saponin side chain via Click reaction enhances anti-adipogenesis activity. Additionally, several other derivatives exhibit general adipogenesis inhibition. Compound a17 demonstrated enhanced potency compared to the parent ginsenoside Rg1. Mechanistic investigations revealed that a17 exhibits dose-dependent inhibition of adipogenesis in vitro, accompanied by decreased expression of preadipocytes. Peroxisome proliferator-activated receptor γ (PPARγ), fatty acid synthase (FAS), and fatty acid binding protein 4 (FABP4) adipogenesis regulators. These findings establish the ginsenoside Rg1-1,2,3-triazole derivative a17 as a promising adipocyte differentiation inhibitor and potential therapeutic agent for obesity and associated metabolic disorders. This research provides a foundation for developing effective therapeutic approaches for various metabolic syndromes.
Adipogenesis/drug effects* ; Triazoles/chemical synthesis* ; Ginsenosides/chemical synthesis* ; Saponins/chemical synthesis* ; Animals ; Mice ; Structure-Activity Relationship ; PPAR gamma/genetics* ; 3T3-L1 Cells ; Adipocytes/metabolism* ; Panax notoginseng/chemistry* ; Drug Design ; Molecular Structure ; Humans ; Cell Differentiation/drug effects* ; Fatty Acid-Binding Proteins/genetics*

Objective To explore the molecular mechanism of cerebroprotein hydrolysate-1(CH-1)in improving cognitive impairment of VD at animal level,and to determine the regulatory effect of CH-1 on Nrf2/ARE signaling pathway.Methods Thirty-six SD rats were randomly divided into sham operation group,VD group,low-and high-dose groups,with 9 rats in each group.VD model was established by bilateral common carotid artery ligation,and CH-1 was injected intraperitone-ally for 3 weeks.Morris water maze test and new object recognition test were performed to evalu-ate cognitive function.Hippocampal tissues was collected for immunohistochemistry/Western blot analysis.Results Compared with the sham operation group,the VD group exhibited significantly prolonged escape latency at 2-4 d of Morris water maze test,and up-regulated expression of ubiquitinated protein,LC3 Ⅱ/Ⅰ ratio,P65 and Beclin1 protein in the hippocampus,while down-regulated P62 expression(P＜0.05).Obviously shortened escape latency was observed in the high-dose group at 3-4 d and the low-dose group at 4 d than the VD group(P＜0.05).The resi-dence time in target quadrant,number of platform crossings,total exploration time of novel object recognition in the high-dose group and the total exploration time of novel object recognition in the low-dose group were significantly longer than those in VD group(P＜0.05).The expression levels of ubiquitinated,LC3 Ⅱ/Ⅰ ratio,P65 and Beclin1 were significantly lower in the low-dose group and high-dose group than the VD group(P＜0.05).The expression level of P62 protein in the VD group,low-and high-dose group were significantly increased in a dose-dependent manner(2.78±0.44,1.80±0.24 vs 3.67±0.34;2.37±0.26,1.53±0.09 vs 2.92±0.19;2.74±0.14,1.81±0.19 vs 3.93±0.50;2.28±0.17,1.72±0.17 vs 3.17±0.31,P＜0.05).Conclusion CH-1 can effectively improve the cognitive ability of VD rats and reduce the autophagy of hippocampal neurons.This therapeutic effect may be closely related to its enhancing activity of Nrf2/ARE signaling pathway.

Objective:To analyze the efficacy of combination of peginterferon α-2b（Peg-IFN α-2b）with nucleos（t）ide analogues（NAs）on antiviral therapy in children with chronic hepatitis B（CHB）and to provide an optimized clinical treatment strategies for CHB children.Methods:A retrospective analysis was conducted on 30 CHB children treated in The First Affiliated Hospital of the Army Medical University（Southwest Hospital）from January 2022 to January 2025 with treatment duration at least 48 weeks. The enrolled children were aged between 2 and 17 years and divided into the NAs combined with Peg-IFN α-2b（NPI）group（n=13）and NAs group（n=17）by their therapy regimens. The characteristics of baseline，week 12，week 24，week 48 and week 96 were compared between groups，as well as the differences in response to biochemical，immune and viral indicators at each observation point. Logistic regression analysis and receiver operating characteristic（ROC）curve analysis were performed to identify factors influencing the HBsAg seroclearance. Results:At baseline of treatment，the proportion of HBeAg positivity in the NPI group and the NAs group was high（76.9% vs 86.6%， χ2=0.679， P=0.628），and the alanine aminotransferase（ALT）and aspartate aminotransferase（AST）in the NPI group were significantly lower than those in the NAs group（ P<0.001）. At 24 weeks，the decrease in HBsAg in the NPI group was also significantly higher than that in the NAs group（ Z=-3.161， P=0.002）. Finally，the cumulative seroclearance rate of HBsAg at 96 weeks in the NPI group was significantly higher than that in the NAs group（46.15% vs 5.88%， χ2=0.679， P=0.025）. Mulitivariate Logistic regression analysis showed that treatment regimen and gender were risk factors affecting the outcome of HBsAg（ P<0.05）. ROC curve analysis showed that the increase in ALT at 12 weeks compared with baseline（AUC=0.857，Cutoff value=3.615 IU/L），the decrease in ALT at 24 weeks（AUC=0.870，Cutoff value=47.85 IU/L），and the decrease in HBsAg at 12 weeks and especially at 24 weeks（AUC=0.885，Cutoff value=0.97log IU/ml）were effective predictors of HBsAg prognosis at 96 weeks. Conclusion:In CHB children，antiviral regimen Peg-IFN α-2b combined with NAs was more effective than NAs alone in improving the HBsAg seroclearance rate of CHB，and the effects in female were better than in male. The decline of HBsAg and the fluctuation of ALT in the early treatment period are valid predictors of HBsAg clearance.

Objective To observe the value of multi-task improved nnU-Net model based on enhanced CT for segmenting primary oral cancer and predicting patients'relapse free survival(RFS).Methods Enhanced CT data of 186 cases of primary oral cancer were retrospectively analyzed,and a multi-task improved nnU-Net model was constructed for tumor segmentation and survival prediction tasks.Pre-training of tumor segmentation was completed with nnU-Net as the baseline network,and the accuracy of recognizing and segmenting tumor was improved by enhancing the decoder through the modified skip connection.Then univariable and multivariable regression analyses were used to select clinical features closely associated with RFS.Radiomics and deep learning features were also extracted to construct a survival prediction model,with fine-tuning of the above model.The training set,validation set and test set were divided at a ratio of 7∶2∶1.Dice similarity coefficient(DSC)was used to evaluate the segmentation performance of the modified model,and the consistency index C-index was used to verify the performance of the improved model for predicting RFS.Results DSC of the multi-task improved nnU-Net model(0.78)for segmenting primary oral cancer was superior to that of 3D Inception ResNet(0.65),3D InceptSENet(0.75)and 3D U-Net models(0.69),respectively,its C-index for predicting RFS(0.798)was higher than that of Cox regression model(0.744),ICARE model(0.761),random forest model(0.744),DeepSurv model(0.735),nnU-Net model(0.760)and radiology+nnU-Net model(0.744),respectively.DSC for segmenting primary oral cancer and C-index for predicting RFS of multi-task improved nnU-Net model were both superior to those of simple baseline network(0.653 and 0.649),baseline network+multi-scale convolution fusion(0.755 and 0.752),as well as baseline network combined with clinical features(0.764 and 0.759),radiomics features(0.770 and 0.764)and clinical+radiomics features(0.773 and 0.761),respectively.Conclusion Multi-task improved nnU-Net model could be used to effectively improve the accuracy of tumor segmentation and predicting patients'RFS.

Objective This study aims to develop an early in-hospital temperature management protocol for heat stroke patients and assess its effectiveness,providing guidance for rapid cooling and precise target temperature control.Methods The protocol was developed through a Delphi expert consultation combined with expert panel meetings.A multi-center,non-randomized,historical control study was conducted,utilizing convenience sampling to select heat stroke patients from the emergency departments of 7 tertiary hospitals in Zhejiang Province,China,between June and August 2024 as an experimental group.The protocol was implemented in this group,while the control group consisted of heat stroke patients treated between June and August 2022,prior to protocol implementation.Cooling rates,target temperature attainment rates,and clinical outcomes were compared between the 2 groups.Results The final protocol included 6 primary indicators,23 secondary indicators,and 56 tertiary indicators.After protocol implementation,the experimental group achieved a cooling rate of 0.08(0.05～0.09)℃/min within 0.5 hours,significantly higher than the control group,which had a rate of 0.04(0.02～0.06)℃/min(P＜0.001).The target temperature attainment rates at 0.5 hours and 2.0 hours were 55.93％and 98.31％,respectively,significantly higher than the rates of 15.87％and 61.11％in the control group(P＜0.001).The mechanical ventilation rate,hospitalization rate,ICU admission rate,and mortality rate in the experimental group were 25.42％,61.02％,44.07％,and 8.47％,respectively.Logistic regression analysis revealed that the early in-hospital temperature management protocol significantly reduced the risk of mechanical ventilation and hospitalization in heat stroke patients,with odds ratios(ORs)of 0.294 and 0.300,respectively(both P＜0.05).Conclusion The developed protocol for early in-hospital temperature management in heat stroke patients is scientific,systematic,and practical.It improves cooling rates and target temperature attainment,thereby enhancing the prognosis of heat stroke patients.

Objective To investigate the clinical utility of krebs von den lungen-6(KL-6),a sialoglycan antigen,in the auxiliary diagnosis of idiopathic pulmonary hemosiderosis(IPH)in children.Methods A total of 140 children admitted to the First Affiliated Hospital of Guangzhou Medical University from June 2014 to July 2024 were categorized into a case group and a control group.The case group was further subdivided into four subgroups based on disease type:IPH group(n=32),interstitial lung disease(ILD)group(n=22),pneumonia(PN)group(n=60),and non-pulmonary disease(NPD)group(n=26).Serum KL-6 levels were measured for all children across these groups,and the differences in KL-6 expression between children with IPH and those without IPH(including the ILD,PN,and NPD groups)were analyzed.Results The positive rates of KL-6 in each group of children,from highest to lowest,were as follows:IPH(68.75%),ILD(45.45%),PN(1.69%),and NPD(0.00%).The differences in positive rates between groups were statistically significant(χ2=66.10,P<0.001).The mean serum level of KL-6 in the IPH group was significantly higher than that in the PN group(Z=-6.92,P<0.001).Diagnostic test results indicated that the area under the ROC curve was 0.940(95%CI:0.89 to 1.00,P<0.001),with a cut off value of 392.00 U/mL,sensitivity of 81.30%,and specificity of 95.00%.Conclusions KL-6 demonstrates significant diagnostic value in distinguishing IPH children from those with PN and NPD,making it a promising blood biomarker for aiding in the diagnosis of IPH.

Objective To evaluate the clinical effects of cast post and cores with traction design in coronal extrusion of upper anterior teeth with subgingival fracture.Methods Twenty-five upper anterior teeth with subgingival fracture were treated by root canal therapy,then cast post and cores with traction design and composite resin crown restorations were made for orthodontic extrusion.Position reten-tion and gingival margin modification were performed before crown restoration of these teeth.The correlation between extrusion length and extrusion time was evaluated,as well as the correlation between extrusion length and migration distance in coronal direction about the gingival margin.Crown-root ratio and post-root ratio below the alveolar crest was evaluated after the crown restorations were finished.Evaluation of restoration effects was carried out in 3,6,12 months follow-up period.Results Root resorption began to appear on one tooth at six weeks;the remaining 24 teeth were migrated to target position and prosthesis were finished.There was a positive correlation between the extrusion length(x)and extrusion time(y1),also between the extrusion length(x)and migration distance in coronal di-rection about the gingival margin(y2)by statistical analysis.There was no significant difference(P＞0.05)between the extrusion teeth and compared teeth on crown-root ratio.More than 1/2 of the ratio between the length of post to the length of root below the alveolar crest.The prognostic stability was satisfied in 3,6,12 months follow-up period.Conclusion There are satisfactory clinical application effects of cast post and cores with traction design in coronal extrusion of upper anterior teeth with subgingival fracture.

Objective To observe the value of multi-task improved nnU-Net model based on enhanced CT for segmenting primary oral cancer and predicting patients'relapse free survival(RFS).Methods Enhanced CT data of 186 cases of primary oral cancer were retrospectively analyzed,and a multi-task improved nnU-Net model was constructed for tumor segmentation and survival prediction tasks.Pre-training of tumor segmentation was completed with nnU-Net as the baseline network,and the accuracy of recognizing and segmenting tumor was improved by enhancing the decoder through the modified skip connection.Then univariable and multivariable regression analyses were used to select clinical features closely associated with RFS.Radiomics and deep learning features were also extracted to construct a survival prediction model,with fine-tuning of the above model.The training set,validation set and test set were divided at a ratio of 7∶2∶1.Dice similarity coefficient(DSC)was used to evaluate the segmentation performance of the modified model,and the consistency index C-index was used to verify the performance of the improved model for predicting RFS.Results DSC of the multi-task improved nnU-Net model(0.78)for segmenting primary oral cancer was superior to that of 3D Inception ResNet(0.65),3D InceptSENet(0.75)and 3D U-Net models(0.69),respectively,its C-index for predicting RFS(0.798)was higher than that of Cox regression model(0.744),ICARE model(0.761),random forest model(0.744),DeepSurv model(0.735),nnU-Net model(0.760)and radiology+nnU-Net model(0.744),respectively.DSC for segmenting primary oral cancer and C-index for predicting RFS of multi-task improved nnU-Net model were both superior to those of simple baseline network(0.653 and 0.649),baseline network+multi-scale convolution fusion(0.755 and 0.752),as well as baseline network combined with clinical features(0.764 and 0.759),radiomics features(0.770 and 0.764)and clinical+radiomics features(0.773 and 0.761),respectively.Conclusion Multi-task improved nnU-Net model could be used to effectively improve the accuracy of tumor segmentation and predicting patients'RFS.