OBJECTIVE To investigate the risk factors for sodium valproate （VPA）-induced hyperammonemia in neurocritical patients， and to construct a risk prediction model. METHODS Clinical data were retrospectively collected from 172 neurocritical patients who received VPA treatment in the Department of Critical Care Medicine， the Fourth Affiliated Hospital of Soochow University from January 2022 to June 2025. Patients were divided into the hyperammonemia group （73 cases） and the normal group （99 cases） based on their blood ammonia levels. Univariate analysis and LASSO regression analysis were used to screen for predictive variables. Independent factors were identified through multivariate Logistic regression analysis， and a nomogram was constructed accordingly. The performance of the model was evaluated using receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis （DCA）. RESULTS Combination of univariate analysis and LASSO regression analysis screened out seven predictive variables： body mass index （BMI）≥24.0 kg/m 2 ， concomitant use of benzodiazepines， VPA blood concentration， hemoglobin， serum urea， average daily VPA dose， and albumin. Multivariate Logistic regression analysis showed that concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， VPA blood concentration， albumin and serum urea level （with odds ratios of 1.615， 1.538， 1.623， 1.942 and 0.637， respectively； 95% confidence intervals of 1.128-2.359， 1.059-2.251， 1.112-2.431， 1.106-3.598 and 0.402-0.980， respectively） were all significantly associated with VPA-induced hyperammonemia in neurocritical patients （ P ＜0.05）. The nomogram prediction model constructed based on these variables was evaluated， showing that the area under the ROC curve was 0.810 for the test set and 0.844 for the validation set. The calibration curves closely approximated t he actual curves， and the application of this model could improve the clinical net benefit. CONCLUSIONS Concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， high VPA blood concentration and high albumin level are independent risk factors for VPA-induced hyperammonemia in neurocritical patients， while high serum urea level is an independent protective factor. The risk prediction model constructed based on these factors exhibits good discrimination， consistency， and clinical applicability， making it applicable for predicting the risk of VPA-induced hyperammonemia in neurocritical patients.

Triple-negative breast cancer (TNBC) represents a distinctive subtype, characterized by the absence of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). Due to its high inter-tumor and intra-tumor heterogeneity, TNBC poses significant chanllenges for personalized diagnosis and treatment. The advant of clustered regular interspaced short palindromic repeats (CRISPR) technology has profoundly enhanced our understanding of the structure and function of the TNBC genome, providing a powerful tool for investigating the occurrence and development of diseases. This review focuses on the application of CRISPR/Cas technology in the personalized diagnosis and treatment of TNBC. We begin by discussing the unique attributes of TNBC and the limitations of current diagnostic and treatment approaches: conventional diagnostic methods provide limited insights into TNBC, while traditional chemotherapy drugs are often associated with low efficacy and severe side effects. The CRISPR/Cas system, which activates Cas enzymes through complementary guide RNAs (gRNAs) to selectively degrade specific nucleic acids, has emerged as a robust tool for TNBC research. This technology enables precise gene editing, allowing for a deeper understanding of TNBC heterogeneity by marking and tracking diverse cell clones. Additionally, CRISPR facilitates high-throughput screening to promptly identify genes involved in TNBC growth, metastasis, and drug resistance, thus revealing new therapeutic targets and strategies. In TNBC diagnostics, CRISPR/Cas was applied to develop molecular diagnostic systems based on Cas9, Cas12, and Cas13, each employing distinct detection principles. These systems can sensitively and specifically detect a variety of TNBC biomarkers, including cell-specific DNA/RNA and circulating tumor DNA (ctDNA). In the realm of precision therapy, CRISPR/Cas has been utilized to identify key genes implicated in TNBC progression and treatment resistance. CRISPR-based screening has uncovered potential therapeutic targets, while its gene-editing capabilities have facilitated the development of combination therapies with traditional chemotherapy drugs, enhancing their efficacy. Despite its promise, the clinical translation of CRISPR/Cas technology remains in its early stages. Several clinical trials are underway to assess its safety and efficacy in the treatment of various genetic diseases and cancers. Challenges such as off-target effects, editing efficiency, and delivery methods remain to be addressed. The integration of CRISPR/Cas with other technologies, such as 3D cell culture systems, human induced pluripotent stem cells (hiPSCs), and artificial intelligence (AI), is expected to further advance precision medicine for TNBC. These technological convergences can offer deeper insights into disease mechanisms and facilitate the development of personalized treatment strategies. In conclusion, the CRISPR/Cas system holds immense potential in the precise diagnosis and treatment of TNBC. As the technology progresses and becomes more costs-effective, its clinical relevance will grow, and the translation of CRISPR/Cas system data into clinical applications will pave the way for optimal diagnosis and treatment strategies for TNBC patients. However, technical hurdles and ethical considerations require ongoing research and regulation to ensure safety and efficacy.

Objective To perform single-molecule, real-time sequencing of ceftazidime-avibactam (CAZ-AVI)-resistant Pseudomonas aeruginosa and to investigate the mechanism underlying ceftazidime-avibactam resistance in P. aeruginosa. Methods The susceptibility of 89 P. aeruginosa isolates randomly sampled from clinical specimens in Sanming First Hospital Affiliated to Fujian Medical University from November 2021 through July 2023 to common antimicrobial agents was tested, and the minimum inhibitory concentration (MIC) of CAZ-AVI was determined against P. aeruginosa with a broth microdilution assay, with CAZ-AVI MICs of 8 mg/L and lower defined as susceptible and 16 mg/L and higher as resistant. The expression of drug-resistant genes ampC, oxa-488, oprD, mexA, oxa-10, oxa-14, vim and tem was quantified in P. aeruginosa using a real-time quantitative reverse transcription PCR (qPCR) assay. CAZ-AVI-susceptible and -resistant P. aeruginosa isolates from the same case were selected for PacBio single-molecule, real-time sequencing, and sequencing results were subjected to genome structure and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotations. Results The 89 P. aeruginosa isolates showed a relatively high level of resistance to meropenem (75.28%) and imipenem (74.16%) and the highest susceptibility to amikacin (91.01%). There were 49 CAZ-AVI-resistant P. aeruginosa isolates and 40 susceptible isolates. qPCR assay detected lower oprD gene expression in CAZ-AVI-resistant P. aeruginosa isolates [0.104 (2.385)] than in susceptible isolates [0.551 (17.885)] (Z = -2.958, P < 0.01), and there were no significant differences between CAZ-AVI-susceptible and -resistant P. aeruginosa isolates in terms of ampC, oxa-488, mexA or tem gene expression (all P values > 0.05), while oxa-10, oxa-14 and vim gene was expressed in few P. aeruginosa isolates. There were 1 729, 3 936, 3 737 and 3 955 genes in CAZ-AVI-resistant P. aeruginosa isolates PA-762 and PA-M174 and susceptible isolates PA-885 and PA-808 that were annotated to GO terms, with the highest numbers of genes enriched in the molecular function of catalytic activity, high numbers of genes enriched in biological processes of metabolic process, single-organism process and cellular process, and high numbers of genes enriched in cellular components of cell and cell membranes. There were 1 803, 4 084, 3 915 and 4 066 genes in the PA-762, PA-M174, PA-885 and PA-808 isolates enriched in the KEGG signaling pathway, and the majority of genes were enriched in four primary signaling pathways of metabolism, genetic information processing, environmental information processing and cellular process, with the highest number of genes associated with metabolic pathways. Both CAZ-AVI-resistant P. aeruginosa isolates PA-762 and PA-M174 carried multiple efflux pumps systems, including MexAB-OprM, MexCD-OprJ, MexEF-OprN and MexXY-OprM. Single nucleotide substitution was found at position 169 in the DNA sequence of the PA-762 isolate, leading to substitution of serine for glycine at position 57 in the protein sequence, and there are deletions of two bases at positions 307 and 308 in the DNA sequence of the PA-M174 isolate, leading to substitution of threonine for arginine at position 103 in the protein sequence. Conclusion Mutation or downregulation of oprD gene may lead to CAZ-AVI resistance in P. aeruginosa.

Objective To explore the mechanism of Bushen Zhupai Decoction in treating ovarian fibrosis in polycystic ovary syndrome(PCOS)model rats based on IL-17/TRAF6/NF-κB signaling pathway.Methods Totally 60 SPF grade female SD rats were randomly divided into blank group,model group,Yousiyue group and TCM low-,medium-and high-dosage groups,with 10 rats in each group.The PCOS model was replicated by gavage of 1 mg/kg letrozole for 21 days.The Yousiyue group was given a 10 mg/kg solution of drospirenone ethinylestradiol tablets by gavage,TCM low-,medium-and high-dosage groups were given 8.82,17.64 and 35.28 g/kg of Bushen Zhupai Decoction by gavage,once a day for 28 consecutive days.HE and Masson staining were used to observe the morphology of ovarian tissue and ovarian fibrosis,the contents of serum IL-17,IL-18 and IL-1β were detected by ELISA,the mRNA expression of IL-17,TRAF6,NF-κB p65 and TGF-β1 in ovarian tissue were determined by RT-qPCR,the protein expression of TRAF6,NF-κB p65,TGF-β1,α-SMA,E-cadherin and the positive expression of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue were detected by Western blot and immunohistochemical staining respectively.Results Compared with the blank group,the body mass,ovarian mass and ovarian index significantly increased of rats in model group,with follicular cystic dilation,thinning of granulosa cell layer,and significant increase in fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly increased(P<0.01),the expressions of IL-17,TRAF6,NF-κB p65,TGF-β1 mRNA and IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA proteins significantly increased(P<0.01,P<0.05),the expression of E-cadherin protein significantly decreased(P<0.01).Compared with the model group,the ovarian index of rats in Yousiyue group and TCM medium-and high-dosage groups significantly decreased(P<0.01,P<0.05),the rats in TCM high-dosage group showed dominant follicles,increased thickness of granulosa cell layer,and significantly reduced fibrosis positive range(P<0.01),the serum contents of IL-17,IL-18 and IL-1β significantly decreased in Yousiyue group and TCM low-,medium-and high-dosage groups(P<0.01),the mRNA expressions of IL-17,TRAF6,NF-κB p65,TGF-β1,and the protein expressions of IL-17RA,TRAF6,NF-κB p65,TGF-β1 and α-SMA in ovarian tissue significantly decreaed in TCM high-dosage group(P<0.01,P<0.05),the expression of E-cadherin protein significantly increased(P<0.01).Conclusion Bushen Zhupai Decoction can decrease the body mass,improve the ovarian index,decrease the expressions of inflammatory factors and improve the status of ovarian fibrosis in PCOS rats.The mechanism may be related to the regulation of IL-17/TRAF6/NF-κB signaling pathway.

To evaluate the efficacy and safety of dye-free submucosal injection solution for gastric endoscopic submucosal dissection (ESD), a retrospective cohort study was performed on data of inpatients with early gastric cancer and precancerous lesions who underwent ESD at the Digestive Endoscopy Center of Jiangsu Province Hospital of Traditional Chinese Medicine from January to December 2020. Cases were divided into dye-free submucosal injection solution group (the observation group) and dye-containing solution group (the control group). A total of 108 cases met the eligibility criteria for analysis (39 VS 69). Baseline characteristics were comparable between the two groups ( P>0.05). Compared with the control group, the observation group showed similar median procedure time (30.5 min VS 35.0 min), median dissection speed (0.3 cm2/min VS 0.4 cm2/min), mean volume of injection solution used (39.2 mL VS 38.8 mL), en bloc resection rate [100.0% (39/39) VS 98.6% (68/69)], and curative resection rate [97.4% (38/39) VS 97.1% (67/69)] (all P>0.05). Postoperative stay was 3.0±0.8 days in the observation group and 3.2±0.8 days in the control group ( t=-0.908, P=0.378). Delayed bleeding occurred in 3 (7.7%) patients VS 2 (2.9%) patients ( P=0.349), and postoperative infection occurred in 3 (7.7%) patients VS 8 (11.6%) patients ( P=0.743), respectively. In gastric ESD, dye-free submucosal injection solution demonstrates efficacy comparable with dye-containing solution and does not appreciably increase the incidence of intraoperative or postoperative complications.

OBJECTIVE: To investigate the effect of Tongmai Hypoglycemic Capsule (THC) on myocardium injury in diabetic cardiomyopathy (DCM) rats. METHODS: A total of 24 Sprague Dawley rats were fed for 4 weeks with high-fat and high-sugar food and then injected with streptozotocin intraperitoneally for the establishment of the DCM model. In addition, 6 rats with normal diets were used as the control group. After modeling, 24 DCM rats were randomly divided into the model, L-THC, M-THC, and H-THC groups by computer generated random numbers, and 0, 0.16, 0.32, 0.64 g/kg of THC were adopted respectively by gavage, with 6 rats in each group. After 12 weeks of THC administration, echocardiography, histopathological staining, biochemical analysis, and Western blot were used to detect the changes in myocardial structure, oxidative stress (OS), biochemical indexes, protein expressions of myocardial fibrosis, and nuclear factor erythroid 2-related faactor 2 (Nrf2) element, respectively. RESULTS: Treatment with THC significantly decreased cardiac markers such as creatine kinase, lactate dehydrogenase, and creatine kinase-MB, etc., (P<0.01); enhanced cardiac function indicators including heart rate, ejection fraction, cardiac output, interventricular septal thickness at diastole, and others (P<0.05 or P<0.01); decreased levels of biochemical indicators such as fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, aspartate transaminase, (P<0.05 or P<0.01); and decreased the levels of myocardial fibrosis markers α-smooth muscle actin (α-SMA), and collagen I (Col-1) protein (P<0.01), improved myocardial morphology and the status of myocardial interstitial fibrosis. THC significantly reduced malondialdehyde levels in model rats (P<0.01), increased levels of catalase, superoxide dismutase, and glutathione (P<0.01), and significantly increased the expression of Nrf2, NAD(P)H:quinone oxidoreductase 1, heme oxygenase-1, and superoxide dismutase 2 proteins in the left ventricle of rats (P<0.01). CONCLUSION THC activates the Nrf2 signaling pathway and plays a protective role in reducing OS injury and cardiac fibrosis in DCM rats.
Animals ; Diabetic Cardiomyopathies/physiopathology* ; Oxidative Stress/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Rats, Sprague-Dawley ; Myocardium/metabolism* ; Fibrosis ; Male ; Capsules ; Hypoglycemic Agents/therapeutic use* ; NF-E2-Related Factor 2/metabolism* ; Rats ; Diabetes Mellitus, Experimental/drug therapy*

OBJECTIVE: Angiogenesis is a critical target for hepatocellular carcinoma (HCC) treatment. The previous studies indicated that Jiedu Fang (JDF) could inhibit hypoxia-induced angiogenesis through interleukin-8 (IL-8). Therefore, the present study further explores the mechanisms behind JDF's inhibition of HCC angiogenesis. METHODS: Angiogenesis was assessed with the capillary-like tube formation assay in vitro and the matrigel plug angiogenesis assay in vivo. A liver cancer-related gene set and genes associated with angiogenesis and the hypoxic microenvironment were analyzed using a bioinformatics platform. Real-time reverse transcription-polymerase chain reaction and Western blotting assays were used to assess the targeted mRNA and protein levels, respectively. The Transwell assay was used to assess the migration and invasion potential of EA.hy 926 cells. The orthotopic tumor xenograft model was established, and immunohistochemistry and immunofluorescence assays were used to detect cluster of differentiation 31 and angiopoietin 2 expression, while an enzyme-linked immunosorbent assay was used to detect vascular endothelial growth factor and IL-8 protein levels. RESULTS: In vitro and in vivo assays showed that IL-8 promoted angiogenesis, and JDF could antagonize this effect. Bioinformatics analysis indicated that aurora kinase A (Aurora A) was an important candidate, which can promote IL-8 expression through activation of signal transducer and activator of transcription 3 (STAT3). The overexpression of Aurora A increased IL-8 secretion and promoted HCC migration, invasion, and angiogenesis, which was partly inhibited by JDF. Such effects were validated by in vivo assays. Further validation using the STAT3 inhibitor S3I-201 demonstrated that STAT3 was regulated by Aurora A. CONCLUSION JDF exhibits efficacy in reducing hypoxia-induced angiogenesis in HCC through a mechanism involving the Aurora A/STAT3/IL-8 signaling pathway. Therefore, JDF holds promise as a potential therapeutic approach for targeting HCC angiogenesis. Please cite this article as: Zhong MF, Luo YJ, Guo YY, Xiang S, Lin WF. Jiedu Fang inhibits hypoxia-induced angiogenesis in hepatocellular carcinoma by targeting Aurora A/STAT3/IL-8 signaling pathway. J Integr Med. 2025; 23(6):683-693.
Carcinoma, Hepatocellular/blood supply* ; Humans ; STAT3 Transcription Factor/metabolism* ; Interleukin-8/metabolism* ; Liver Neoplasms/blood supply* ; Aurora Kinase A/metabolism* ; Neovascularization, Pathologic/drug therapy* ; Animals ; Signal Transduction/drug effects* ; Mice ; Drugs, Chinese Herbal/therapeutic use* ; Cell Line, Tumor ; Mice, Inbred BALB C ; Mice, Nude ; Angiogenesis

Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.