Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

This study aims to investigate the effect and mechanism of hydnocarpin(HC) in treating triple negative breast cancer(TNBC). Cell counting kit-8(CCK-8), xCELLigence real-time cellular analysis(RTCA), and colony formation assay were employed to determine the effects of HC on the proliferation of two TNBC cell lines: MDA-MB-231 and MDA-MB-436. The effects of HC on the migration and invasion of TNBC cells were detected by high-content analysis, wound-healing assay, and Transwell assay. The changes in the epithelial-mesenchymal transition(EMT) and the expression of invasion-and migration-associated proteins [E-cadherin, vimentin, Snail, matrix metalloproteinase-2(MMP-2), and MMP-9] were detected by Western blot. Western blot and RT-qPCR were employed to determine the protein and mRNA levels of Yes-associated protein(YAP) and downstream targets(CTGF and Cyr61). TNBC cells were transfected with Flag-YAP for the overexpression of YAP, and the role of YAP as a key target for HC to inhibit TNBC malignant progression was examined by CCK-8 assay, Transwell assay, and wound-healing assay. The pathway of HC-induced YAP degradation was detected by the co-treatment of proteasome inhibitor with HC and ubiquitination assay. The binding of HC to YAP and the E3 ubiquitin ligase Ccr4-not transcription complex subunit 4(CNOT4) was detected by microscale thermophoresis(MST) assay and drug affinity responsive target stability(DARTS) assay. The results showed that HC significantly inhibited the proliferation, colony formation, invasion, and EMT of TNBC cells. HC down-regulated the protein and mRNA levels of CTGF and Cyr61. HC down-regulated the total protein level of YAP, while it had no effect on the mRNA level of YAP. The overexpression of YAP antagonized the inhibitory effects of HC on the proliferation, migration, and invasion of TNBC cells. HC promoted the degradation of YAP through the proteasome pathway and up-regulated the ubiquitination level of YAP. The results of MST and DARTS demonstrated direct binding between HC, YAP, and CNOT4. The above results indicated that HC inhibited the malignant progression of TNBC via CNOT4-mediated degradation and ubiquitination of YAP.
Humans ; Triple Negative Breast Neoplasms/metabolism* ; Matrix Metalloproteinase 2/metabolism* ; Cell Line, Tumor ; Cell Proliferation ; Cell Movement ; Ubiquitination ; RNA, Messenger/metabolism* ; Epithelial-Mesenchymal Transition ; Transcription Factors/metabolism*

Objective To analyze the role of preoperative peripheral blood inflammatory parameters and postoperative lymph-node ratio (LNR) in the prognosis of gastric cancer patients treated with chemotherapy. Methods The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammatory response index (SII), lymphocyte-to-monocyte ratio (LMR), Onodera prognostic nutritional index (OPNI), and LNR of 108 patients with gastric cancer were classified into high and low groups to analyze their prognostic value on the overall survival (OS) of gastric cancer patients treated with chemotherapy. The independent prognostic indicators were plotted in columns to predict the survival rate of gastric cancer patients. Results NLR was statistically significant in the prognostic assessment of gastric cancer patients treated with chemotherapy (P < 0.001). Moreover, the high PLR group, high SII group, high LNR group, N3 stage, TNM (Ⅲ-Ⅳ) stage, nerve invasion, and carcinoembryonic antigen (CEA) were independent risk factors for the prognosis of gastric cancer (all P < 0.05). These findings indicated that in predicting the prognosis of gastric cancer, the combination of LNR, PLR, and SII (AUC=0.875) was better than that of LNR, PLR, and SII alone or in pairwise combination. Conclusion Elevated NLR, LNR, PLR, and SII are associated with significantly reduced survival of patients. LNR, PLR, and SII could be used as independent risk factors for the prognosis of gastric cancer patients treated with chemotherapy, and their combination can predict the survival of gastric cancer patients.

ObjectiveTo study the inhibitory effect of polyphyllin Ⅰ （PPI） on the growth of colorectal cancer cells and its molecular mechanism. MethodRKO cells were cultured and divided into a blank group and PPI treatment groups with concentrations of 0.6， 0.8， 1.0 μmol·L^-1， respectively. HRT18 cells were cultured and divided into a blank group and PPI treatment groups with concentrations of 1.2， 1.4， 1.6 μmol·L^-1， respectively. The effects of PPI on the proliferation and morphology of colorectal cancer were detected by cell proliferation toxicity assay， trypan blue exclusion assay， plate clone formation assay， and confocal high-intension cell imaging analysis system. Flow cytometry was used to detect the apoptosis rate of colorectal cancer cells. The pQCXIP-GFP-LC3 plasmid transfection assay was used to detect the formation of autophagosomes in colorectal cancer cells after PPI treatment. Western blot was used to detect the expression of apoptosis-related proteins Caspase-3， Caspase-8， and poly ADP ribose polymerase （PARP）， the expression of autophagy related protein LC3Ⅱ， and the expression and phosphorylation of Hippo signaling pathway proteins LATS1 and YAP. In the plvx-Flag-YAP plasmid transfection assay， YAP was overexpressed and treated with PPI， and the proliferation of colorectal cancer cells was detected by cytotoxicity assay. The expression of LC3Ⅱ and PARP in colorectal cancer cells was detected by Western blot. SwissADME predicted pharmacokinetic parameters of PPI. ResultAs compared with the blank group， the survival rate and clone formation ability of colorectal cancer cells in the PPI group were significantly decreased （P<0.01）， the cell area of colorectal cancer cells in the PPI group was significantly decreased， and the roundness of colorectal cancer cells was significantly increased （P<0.01）. As compared with the blank group， the apoptosis rate of colorectal cancer cells in PPI treatment groupw was significantly increased （P<0.01）， the expression of apoptotic proteins Caspase-3 and Caspase-8 protein precursor in PPI treatment groups was decreased， and the cleavage of PARP was increased （P<0.01）. As compared with the blank group， the expression level of autophagy-related protein LC3Ⅱ in colorectal cancer cells in PPI treatment groups was significantly increased， and the formation of autophagosomes was promoted （P<0.01）. As compared with the blank group， the expression of YAP protein in colorectal cancer cells in PPI treatment groups was significantly decreased， and the expressions of phosphorylated LATS1 and YAP were significantly increased （P<0.01）. As compared with the blank group， overexpression of YAP could significantly antagonize the effect of PPI on apoptosis， autophagy activation， and proliferation inhibition of colorectal cancer cells. SwissADME simulation results showed that PPI had good drug like activity. ConclusionPPI can induce apoptosis and autophagy of colorectal cancer cells through targeted activation of Hippo signaling pathway， thereby inhibiting their proliferation.

The present study investigated the mechanism of polyphyllin A(PPA) in inhibiting gastric cancer(GC) cells. GC cells(SGC7901 and MGC803 cell lines) were treated with PPA at different concentrations. The effect of PPA on the proliferation of GC cells was detected by MTT assay, real-time cell analysis(RTCA) assay, and clone-forming assay, respectively. Reactive oxygen species(ROS) of GC cells was detected by flow cytometry. The change of mitochondrial membrane potential was detected by JC-1 assay. The expression and phosphorylation levels of apoptosis-related proteins(caspase-9, caspase-3, and PARP) and proteins related to the signaling pathway(ETS-1, CIP2 A, and Akt) were detected by Western blot. The binding sites of PPA to ETS-1 were analyzed by molecular docking. The affinity of PPA and ETS-1 was detected by drug affinity responsive target stability(DARTS) assay. PPA had a significant inhibitory effect on the proliferation and colony formation of GC cells at a low concentration. The PPA groups showed increased ROS and decreased mitochondrial membrane potential. PPA down-regulated the precursor expression of caspase-9 and caspase-3 and promoted the cleavage of PARP, suggesting that PPA induced the apoptosis of GC cells through the mitochondrial pathway. PPA significantly reduced expression levels of CIP2 A and the phosphorylation of downstream Akt. Molecular docking showed that PPA bound to the ETS domain of ETS-1, the transcription factor of CIP2 A, and formed hydrogen bonds with Pro319 and Asp317. DARTS assay further confirmed that PPA significantly prevented the hydrolysis of ETS-1 by pronase, which was inductive of the direct binding effect of PPA and ETS-1. PPA inhibits the proliferation and induces the apoptosis of GC cells by directly targeting ETS-1 to down-regulate the ETS-1/CIP2 A/Akt signaling pathway.
Apoptosis ; Cell Line, Tumor ; Cell Proliferation ; Humans ; Molecular Docking Simulation ; Stomach Neoplasms/metabolism*

【Objective】 In this study， reactive oxygen species （ROS） scavenger N-acetyl-L-cysteine （NAC） was used to explore the inhibitory effect and mechanism of artesunate （ART） on pancreatic carcinoma （PC） cells. 【Methods】 Different concentrations of ART interfered with 3 PC cell lines CFPAC-1， Capan-2 and BxPC3. Cell viability was measured by CCK8； cell migration ability was measured by Transwell method， and the expressions of migration-related proteins E-cadherin， N-cadherin and Vimentin were measured by Western blotting. ROS probe DCFH-DA was used to measure intracellular ROS； LC3 cell immunofluorescence （IF） was used to detect the formation of intracellular autophagosomes. After adding NAC or autophagy inhibitor 3-MA， the cell viability was tested again by CCK8， and the expressions of p-AMPK/ AMPK， p-mTOR/mTOR， p62 and LC3Ⅱ/Ⅰ were detected by Western blotting. 【Results】 ART inhibited the growth of CFPAC-1 and Capan-2 in a time- and dose-dependent manner. After treatment of CFPAC-1 and Capan-2 cells with 200 μmol/L of ART for 48 h， the expression of E-cadherin was upregulated， while N-cadherin and Vimentin were downregulated， and the cell migration ability was significantly reduced. ART significantly upregulated intracellular ROS level and promoted the formation of autophagosomes. NAC could reduce the inhibitory effect of ART on CFPAC-1 and Capan-2 cells， upregulate p-AMPK/AMPK， P62 and LC3Ⅱ/Ⅰ， downregulate the expression of p-mTOR/mTOR， and intensify autophagy. 3-MA could not reverse the inhibitory effect of ART on PC cells. 【Conclusion】 ART is dependent on ROS， but not on autophagy， in exerting an anti-pancreatic carcinoma effect. NAC attenuates the inhibitory effect of ART on PC cells by activating protective autophagy through AMPK/mTOR signaling pathway.

We developed a high-efficiency microfluidic chip for extracting exosomes from human plasma. We collected peripheral blood from normal human, designed and fabricated a microfluidic chip based on nanoporous membrane and agarose gel electrophoresis to isolate exosomes. The extracted exosomes were characterized by transmission electron microscopy, nanosight and Western blotting, the morphology, concentration and particle size of exosomes were identified and analyzed. Meanwhile, we used ultracentrifugation and microfluidic chip to isolate exosomes separately. The particle size and concentration of the exosomes extracted by two methods were compared and analyzed, and their respective extraction efficiency was discussed. Finally, the expression level of miRNA-21 in exosomes was analyzed by RT-PCR. The microfluidic chip isolated (in 1 hour) high-purity exosomes with size ranging from 30-200 nm directly from human plasma, allowing downstream exosomal miRNA analysis. By comparing with ultracentrifugation, the isolation yield of microfluidic chip was 3.80 times higher than ultracentrifugation when the volume of plasma sample less than 100 μL. The optimized parameters for exosome isolation by gel electrophoresis microfluidic chip were: voltage: 100 V; concentration of agarose gel: 1.0%; flow rate of injection pump: 0.1 mL/h. The gel electrophoresis microfluidic chips could rapidly and efficiently isolate the exosomes, showing great potential in the research of exosomes and cancer biomarkers.
Exosomes ; Humans ; MicroRNAs/genetics* ; Microfluidics ; Plasma ; Ultracentrifugation

Objective To establish uPA inducible expression system using recombinant retroviral system for the further construction of inducible uPA-SCID animal model .Methods The Inducible expression system need to construct two plasmids:pLNHXO1O2-Alb-GLUC-FMN2A -rtTA and pLNHXO5O6-TRE2-uPA-IRES-ZsGreen respectively. Both plasmids were based on retroviral vector pLNHX , Albumin promoter gene ( Alb) and rtTA gene or uPA gene and ZsGreen were obtained by PCR reaction and inserted into pLNHX .The Gaussia enzyme fluorescent element ( GLUC) was used to monitor rtTA expression in pLNHXO1O2-Alb-GLUC-FMN2A-rtTA, and the ZsGreen for uPA expression monitoring in pLNHXO5O6-TRE2-uPA-IRES-ZsGreen.The correct constructed plasmids were transfected into packaging cell line GP 2-293 to gain recombinant viral particles .NIH/3T3 cells were infected with these viral particles and selected with G 418.Gene expression in the surviving cells was confirmed by the PCR method .Results The recombinant retroviral vectors harbouring target genes were successfully cloned .The rtTA gene in pLNHXO1O2-Alb-GLUC-FMN2A-rtTA was expressed, and uPA can be induced to express in pLNHXO5O6-TRE2-uPA-IRES-ZsGreen by doxycycline (Dox) when the plasmid transfected into the HepG-Tet-on cell.The constructed recombinant two retroviral vectors were transfected into GP 2-293 packaging cells respectively to gain infectious viral particles .Then,NIH/3T3 cells were infected with these viral particles and single-cell clones which stably expressed the transgenes were successfully established .Conclusion This study primarily established uPA inducible expression system , it laid a foundation for the murine model of inducible liver damage , and provided a novel technical platform for further building the liver humanised murine models for viral hepatitis studying .