ObjectiveTaking Aurantii Fructus Immaturus juice（AFI）-processed Atractylodis Macrocephalae Rhizoma（AMR） as an example， this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products， investigate the key differential components， evaluate their anti-inflammatory activities， and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry（GC-MS） and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology（NIST）17 database， comparison with retention index（RI） and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine （TCM） spectral library， in conjunction with PubChem and MassBank， characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） value >1. Components with high log₂fold change（FC） among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide（NO） production in a lipopolysaccharide（LPS）-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay（ELISA） was used to detect the effects of the differential components on tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6， and monocyte chemotactic protein（MCP）-1 levels， and immunofluorescence（IF） was employed to assess their effects on nuclear transcription factor（NF）-κB p65 translocation， thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR， among which， sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components， 36 compounds were identified， and the main differential components were flavonoids， sesquiterpenoids， and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products， representing compounds directly introduced during processing. Five compounds， including atractylenolide Ⅲ， tangeritin， nobiletin， hesperidin and narirutin， were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L^-1 tangerine and narirutin could significantly inhibit LPS-induced NO production（P<0.01） in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7（P<0.05）， while narirutin significantly inhibited the levels of TNF-α， IL-1β， MCP-1 and IL-6（P<0.01）. IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR， and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

The cooccurrence of NPM1, FLT3-ITD, and DNMT3A mutations (i.e., triple mutation) is related to dismal prognosis in patients with acute myeloid leukemia (AML) receiving chemotherapy alone. In this multicenter retrospective cohort study, we aimed to identify whether allogeneic hematopoietic stem cell transplantation (allo-HSCT) could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut AML across four transplant centers in China. Fifty-three patients with triple-mutated AML receiving allo-HSCT in complete remission were enrolled. The 1.5-year probabilities of relapse, leukemia-free survival, and overall survival after allo-HSCT were 11.9%, 80.3%, and 81.8%, respectively. Multivariate analysis revealed that more than one course of induction chemotherapy and allo-HSCT beyond CR1 were associated with poor survival. To our knowledge, this work is the largest study to explore the up-to-date undefined role of allo-HSCT in patients with triple-mutated AML. Our real-world data suggest that allo-HSCT could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut in AML.
Humans ; Nucleophosmin ; Leukemia, Myeloid, Acute/mortality* ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; DNA Methyltransferase 3A ; Adult ; China ; Retrospective Studies ; DNA (Cytosine-5-)-Methyltransferases/genetics* ; Middle Aged ; Prognosis ; fms-Like Tyrosine Kinase 3/genetics* ; Mutation ; Young Adult ; Transplantation, Homologous ; Nuclear Proteins/genetics* ; Adolescent ; Aged

Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Pharmacological inhibitors targeting CDK4/6 have demonstrated promising efficacy across various cancer types. However, their clinical benefits in ovarian cancer patients fall short of expectations, with only a subset of patients experiencing these advantageous effects. This study aims to provide further clinical and biological evidence for antineoplastic effects of a CDK4/6 inhibitor (TQB4616) in ovarian cancer and explore underlying mechanisms involved. Patient-derived ovarian cancer organoid models were established to evaluate the effectiveness of TQB3616. Potential key genes related to TQB3616 sensitivity were identified through RNA-seq analysis, and TRIM4 was selected as a candidate gene for further investigation. Subsequently, co-immunoprecipitation and GST pull-down assays confirmed that TRIM4 binds to hnRNPDL and promotes its ubiquitination through RING and B-box domains. RIP assay demonstrated that hnRNPDL binded to CDKN2C isoform 2 and suppressed its expression by alternative splicing. Finally, in vivo studies confirmed that the addition of siTRIM4 significantly improved the effectiveness of TQB3616. Overall, our findings suggest that TRIM4 modulates ubiquitin-mediated degradation of hnRNPDL and weakens sensitivity to CDK4/6 inhibitors in ovarian cancer treatment. TRIM4 may serve as a valuable biomarker for predicting sensitivity to CDK4/6 inhibitors in ovarian cancer.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Animals ; Tripartite Motif Proteins/genetics* ; Mice ; Cyclin-Dependent Kinase 4/antagonists & inhibitors* ; Cell Line, Tumor ; Cyclin-Dependent Kinase 6/antagonists & inhibitors* ; Protein Kinase Inhibitors/pharmacology* ; Ubiquitin/metabolism* ; Xenograft Model Antitumor Assays ; Ubiquitination ; Antineoplastic Agents/pharmacology*

Objective The objective of this research was to examine the cardioprotective properties of a SIRT1 agonist in mice afflicted with coronary artery disease(CAD).Methods Using the random number table method,60 male C57BL/6J mice were randomly divided into a control group,a model group,an SRT1 agonist group(Group SRT 1460,30 mg/kg),an Nrf2 inhibitor group(ML385 group,10 mg/kg),and a combined treatment group of SRT 1460+ML385,with 12 mice in each group.The control group mice were fed with normal feed,and the other groups of mice were fed with high-fat feed to create atherosclerosis mouse model.The modeling period was 12 weeks.After the successful construction of the model,ultrasonic parameters were used to detect the myocardial function of mice;two-dimensional ultrasound spot tracking technology was used to detect the strain of each layer of left ventricular myocardium.Pathological alterations in myocardial tissue were detected via HE staining,and the levels of cTnI,LDH and CK were measured using ELISA.Cardiomyocyte apoptosis was evaluated using TUNEL analysis,and levels of ROS in myocardial tissue were measured via DHE fluorescence assay.Additionally,SOD activity and MDA,GSH and Fe2+contents in myocardial tissue were determined using colorimetry.Finally,gene and protein expressions of Nrf2,GPX4,FTH1,and ACSL4 were assessed through qRT-PCR and Western blot analysis.Results A significant decrease in LVEDd and LVPWd levels was observed in the SRT 1460 group(P<0.05),whereas increases in GLSendo,GLSmid,and GCSendo levels were identified.A decrease in collagen fiber deposition was observed in the SRT 1460 group,in which the myocardium space narrowed.In comparison to the control group,the SRT 1460 group showed reductions in serum cTnI,CK,and LDH levels,cardiomyocyte apoptosis rate,ROS,MDA,and Fe2+contents,as well as ACSL4 mRNA and protein levels(P<0.05).An increase in SOD activity and GSH content as well as in Nrf2,GPX4,and FTH1 mRNA and protein levels was observed(P<0.05).By inhibiting the nuclear translocation of Nrf2,ML385 could significantly block the regulatory effect of SRT 1460(P<0.05).Conclusion It has been shown that SRT 1460 enhances GLSendo,GLSmid,and GCSmid,and improves left ventricular remodeling and systolic function in mice with CAD,in part because it regulates the Nrf2-GPX4 ferroptosis pathway.

Objective:To investigate the influencing factors associated with the difficulty in endoscopic submucosal dissection (ESD) for early esophageal cancer and precancerous lesions.Methods:The retrospective case-control study was conducted. The clinicopathological data of 331 patients with early esophageal cancer and precancerous lesions who were admitted to Xinxiang Central Hospital from December 2011 to December 2021 were collected. There were 229 males and 102 females, aged (72.6±2.7)years. All patients underwent ESD. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test. The univariate analysis was performed using statistical methods appropriate to the data type. Multivariate analysis was conducted using the Logistic stepwise regre-ssion model. Results:(1) Surgical situations of ESD. The operation time of 331 patients was (67±8)minutes. There were 327 patients with en bloc resection, and 4 patients with piecemeal resection. Of the 331 patients, adverse events included bleeding in 1 case, pneumomediastinum in 2 cases, esophageal stenosis in 2 cases, and esophageal perforation in 3 cases. All of these adverse events were treated conservatively without surgical intervention. Of the 331 patients, the depth of tumor invasion was epithelial layer in 109 cases, lamina propria in 155 cases, muscularis mucosa in 9 cases, submucosal layer (<0.2 mm) in 12 cases, and submucosal layer (≥0.2 mm) in 42 cases. Of the 331 pati-ents, there were squamous cell carcinoma in 302 cases and adenocarcinoma in 29 cases. Of the 331 pati-ents, 57 cases had difficulties in ESD. (2)Analysis of Influencing factors associated with difficulty in ESD for early esophageal cancer and precancerous lesions. Results of multivariate analysis showed that esophageal cancer located in the left wall, longitudinal tumor diameter>30 mm, and tumor circumference exceeding half of the esophageal circumference were independent risk factors for difficulty in ESD for early esophageal cancer and precancerous lesions ( odds ratio=3.903, 6.699, 5.387, 95% confidence interval as 1.423-10.702, 1.222-36.735, 1.492-19.468, P<0.05). Conclusion:Esophageal cancer located in the left wall, tumor size greater than 30 mm and tumor circumference exceeding half of the esophageal circumference are independent risk factors for difficulty in ESD for early esophageal cancer and precancerous lesions.

Objective:To investigate the influencing factors associated with the difficulty in endoscopic submucosal dissection (ESD) for early esophageal cancer and precancerous lesions.Methods:The retrospective case-control study was conducted. The clinicopathological data of 331 patients with early esophageal cancer and precancerous lesions who were admitted to Xinxiang Central Hospital from December 2011 to December 2021 were collected. There were 229 males and 102 females, aged (72.6±2.7)years. All patients underwent ESD. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test. The univariate analysis was performed using statistical methods appropriate to the data type. Multivariate analysis was conducted using the Logistic stepwise regre-ssion model. Results:(1) Surgical situations of ESD. The operation time of 331 patients was (67±8)minutes. There were 327 patients with en bloc resection, and 4 patients with piecemeal resection. Of the 331 patients, adverse events included bleeding in 1 case, pneumomediastinum in 2 cases, esophageal stenosis in 2 cases, and esophageal perforation in 3 cases. All of these adverse events were treated conservatively without surgical intervention. Of the 331 patients, the depth of tumor invasion was epithelial layer in 109 cases, lamina propria in 155 cases, muscularis mucosa in 9 cases, submucosal layer (<0.2 mm) in 12 cases, and submucosal layer (≥0.2 mm) in 42 cases. Of the 331 pati-ents, there were squamous cell carcinoma in 302 cases and adenocarcinoma in 29 cases. Of the 331 pati-ents, 57 cases had difficulties in ESD. (2)Analysis of Influencing factors associated with difficulty in ESD for early esophageal cancer and precancerous lesions. Results of multivariate analysis showed that esophageal cancer located in the left wall, longitudinal tumor diameter>30 mm, and tumor circumference exceeding half of the esophageal circumference were independent risk factors for difficulty in ESD for early esophageal cancer and precancerous lesions ( odds ratio=3.903, 6.699, 5.387, 95% confidence interval as 1.423-10.702, 1.222-36.735, 1.492-19.468, P<0.05). Conclusion:Esophageal cancer located in the left wall, tumor size greater than 30 mm and tumor circumference exceeding half of the esophageal circumference are independent risk factors for difficulty in ESD for early esophageal cancer and precancerous lesions.

Objective:To develop and validate a risk prediction model for cognitive frailty in elderly patients with type 2 diabetes.Methods:A total of 483 elderly patients with type 2 diabetes who visited Tianjin First Central Hospital from June to December 2022 were selected using convenience sampling. They were randomly divided into a modeling group ( n=338) and a validation group ( n=145). Data were collected using a self-designed general information questionnaire, the Short-Form Mini Nutritional Assessment (MNA-SF), the Geriatric Depression Scale-15 (GDS-15), the Frailty Phenotype (FP), the Montreal Cognitive Assessment (MoCA), and the Clinical Dementia Rating (CDR). Logistic regression analysis was performed to identify the influencing factors. A cognitive frailty risk prediction nomogram model was constructed based on the results. The model was validated in the validation group, and its predictive performance and clinical applicability were evaluated using the area under the receiver operating characteristic curve ( AUC), calibration curve, and clinical decision curve analysis. A total of 483 questionnaires were distributed and all were returned as valid, resulting in a 100.0% response rate. Results:The prevalence of cognitive frailty in the 483 elderly patients with type 2 diabetes was 20.3% (98/483). Age, regular exercise, duration of diabetes, HbA1c levels, depression and nutritional status were identified as predictive factors in the model. The AUC of the model was 0.886, and the Hosmer-Lemeshow test showed a χ 2 value of 8.004 ( P=0.433). The optimal cutoff value was 0.335, and the accuracy was 89.0%. Conclusions:The prediction model demonstrates good fit and strong predictive performance, and can intuitively and easily identify elderly patients with type 2 diabetes who are at high risk of cognitive frailty, providing a reference for early screening and intervention.

Diabetic retinopathy (DR) is one of the most frequent complications of diabetes (T2DM), which is the main eye disease causing blindness in adults in recent years. At present, glucagon-like peptide-1 receptor agonists (GLP-1RA) have become the main drugs used in the treatment of diabetes due to its superior hypoglycemic, lipid-lowering, hypertensive and cardiovascular effects. A large number of studies have shown that GLP-1RA drugs can protect retinal microvascular and optic nerves in the treatment of diabetes through various ways, but some studies have found that GLP-1RA drugs represented by semaglutide may lead to the progress of DR. Therefore, GLP-1RA should be used cautiously for patients who with severe non-proliferative DR or proliferative DR. Regardless of whether T2DM patients are complicated with DR, the fundus retinal condition should be monitored regularly after the use of GLP-1RA drugs, and timely countermeasures should be taken when DR occurs and develops. The benefits of GLP-1RA used by diabetes patients are obvious to all, and scientific and rational drug use can prevent the occurrence and progress of DR, which can better benefit DR Patients.