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 establish HPLC fingerprint for Jianpi hewei formula （JPHWF）， conduct chemical pattern recognition analysis， and determine the contents of seven components in the formula， aiming to provide a scientific basis for quality control and further research of JPHWF. METHODS Taking 15 batches of standard decoctions of JPHWF as samples， the HPLC fingerprint was established using the Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition）. Subsequently， similarity evaluation， as well as identification and attribution analysis of chromatographic peaks， were conducted. Using the common peak areas from the 15 batches of samples as variables， chemical pattern recognition analyses were performed on the samples through hierarchical cluster analysis， principal component analysis， and orthogonal partial least squares-discriminant analysis. The contents of adenine， 5-hydroxymethylfurfural， tetrahydropalmatine， naringin， dehydrocorydaline， neohesperidin and glycyrrhizic acid in 15 batches of samples were determined by HPLC. RESULTS There were 19 common peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.95. Results of chemical pattern recognition analysis showed that 15 batches of samples could be clustered into 3 categories， and 3 differential compounds were found [peak 7 （5- hydroxymethylfurfural）， peak 17 （neohesperidin）， and peak 15 （naringin）]. The 7 components were linearly good in the respective concentration ranges （R2≥0.999 4）； RSDs of precision， stability and repeatability tests were less than 2% （n＝6）； the average recovery rate of 98.95%-103.81%， RSD of 0.61%-2.75% （n＝6）； the contents of them were 0.031-0.106， 0.267-0.824， 0.089- 0.144， 1.344-2.091， 0.089-0.178， 1.328-2.028， 0.040-0.150 mg/g， respectively. CONCLUSIONS Established HPLC fingerprinting method coupled with multi-index content determination is validated to be accurate and reliable， and its combination with chemical pattern recognition analysis can be applied to the quality control of JPHWF.

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 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.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

Objective To analyze the diagnostic value of serum biomarkers in patients with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis.Methods A retrospective collection of laboratory test results,including blood analysis,liver function,lymphocyte counts,and cytokine levels,from 54 patients diagnosed with pulmonary tuberculosis and invasive pulmonary aspergillosis admitted to the Third People's Hospital of Kunming between January 2021 and May 2024.Additionally,70 patients with simple pulmonary tuberculosis and 50 healthy individuals were collected as control groups to compare serum biomarker levels across the three groups and analyze relevant factors and diagnostic value for pulmonary tuberculosis patients with invasive pulmonary aspergillosis.Results Among different age groups,the incidence of pulmonary tuberculosis with invasive pulmonary aspergillosis was 29 cases(53.7％)in youth,15 cases(27.8％)in middle age,and 10 cases(18.5％)in the elderly.In terms of gender distribution,there were 41 males(75.9％)and 13 females(24.1％).The serum levels of CRP(6.85[2.10,27.0])ng/L,PCT(0.05[0.05,0.15])ng/mL,RBC(4.55±0.65)× 1012/L,Hb(129.13±19.10)g/L,TP(66.23±6.82)g/L,ALB(37.03±4.77)g/L,and CHOL(4.30[3.71,4.91])mmol/L in the invasive pulmonary aspergillosis group showed no significant difference compared to the simple tuberculosis group and healthy control group(P＞0.05).The levels of CD3+T,CD4+T,and CD8+T in the invasive pulmonary aspergillosis group were significantly lower than those in the simple tuberculosis group and healthy control group(P＜0.05).The levels of IL-2,IL-4,IL-5,IL-8,IL-10,IL-12p70,IFN-α,and TNF-α in the invasive pulmonary aspergillosis group were significantly higher than those in the healthy control group(P＜0.05);IL-8,IL-12p70,and IFN-α were also higher compared to the simple tuberculosis group,with statistical significance(P＜0.05).Conclusion The population with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis is predominantly male and younger.The serum indicators of infection severity and nutritional status in these patients are similar to those with simple tuberculosis and lack specificity;however,their immune function is significantly lower than that of simple tuberculosis patients.Multiple cytokines are elevated,particularly IL-8,IL-12p70,and IFN-α,which can aid in the differential diagnosis of pulmonary tuberculosis infection.