The antidepressant activity and molecular mechanisms of Yueju Wan volatile oil were investigated. The Yueju Wan volatile oil was extracted by using supercritical CO_2. Gas chromatography-mass spectrometry(GC-MS) combined with network pharmacology identified 28 chemical constituents in Yueju Wan volatile oil, primarily terpenes and lactones. A total of 123 overlapping targets were associated with depression, including core targets of interleukin-1β(IL-1β), signal transducer and activator of transcription 3(STAT3), and caspase-3(CASP3). These targets were mainly involved in the prolactin, advanced glycation end products/receptor(AGE/RAGE), and phosphoinositide 3-kinase/protein kinase B(PI3K/Akt) signaling pathways. A reserpine-induced depression mouse model was established to evaluate the therapeutic effects and mechanisms of Yueju Wan volatile oil. The effects of Yueju Wan volatile oil on depression-like behavior in mice were evaluated by analyzing body mass, body temperature index, tail suspension immobility time, forced swimming immobility time, and sucrose preference. Hematoxylin-eosin(HE) staining revealed neuronal protection of Yueju Wan volatile oil in the brain of mice. Enzyme-linked immunosorbent assay(ELISA) and Western blot were employed to detect the protein expression of AGEs, IL-1β, phosphorylated PI3K(p-PI3K), Akt, phosphorylated Akt(p-Akt), nuclear factor κB(NF-κB), and brain-derived neurotrophic factor(BDNF). Behavioral evaluation showed that Yueju Wan volatile oil could effectively control the decline of body mass and body temperature of depressed mice, reduce tail suspension and swimming immobility time, and enhance their preference for sucrose. Histopathological examination showed that Yueju Wan volatile oil could alleviate the neuronal damage in CA1 and dentate gyrus(DG) of the hippocampus of mice. ELISA and Western blot results showed that Yueju Wan volatile oil could significantly increase the protein expression levels of PI3K, Akt, and BDNF and significantly decrease the protein expression levels of AGEs, IL-1β, p-PI3K, p-Akt, and NF-κB in the hippocampus of mice. Furthermore, the p-PI3K/PI3K and p-Akt/Akt ratios were significantly decreased at medium and high doses. These findings suggest that the aromatherapy of Yueju Wan volatile oil can significantly improve reserpine-induced depression-like behavior in mice, which may be related to reducing the expression of neuronal membrane protein AGEs, reducing the phosphorylation levels of PI3K and Akt, inhibiting NF-κB entry into the nucleus, and alleviating the release of pro-inflammatory factors and nerve injury.
Animals ; Antidepressive Agents/chemistry* ; Mice ; Proto-Oncogene Proteins c-akt/immunology* ; Phosphatidylinositol 3-Kinases/immunology* ; Oils, Volatile/chemistry* ; Male ; Drugs, Chinese Herbal/chemistry* ; Signal Transduction/drug effects* ; Depression/metabolism* ; Glycation End Products, Advanced/immunology* ; Humans

Objective:To develop and validate a postoperative infection nomogram of hepatitis B-associated hepatocellular carcinoma (HCC) after hepatectomy.Methods:Clinical data of 229 patients with HCC undergoing hepatectomy at the Department of Hepatobiliary Surgery of Tianjin Third Central Hospital from January 2014 to December 2022 were retrospectively analyzed, including 174 males and 55 females, aged (58.2±11.4) years. LASSO regression analysis screened the factors associated with hepatitis B-associated HCC infection after hepatectomy, which were further incorporated into multivariate logistic regression analysis. A nomographic prediction model was established based on the results of multivariate logistic regression analysis. Concordance index (C-index), calibration curve and receiver operating characteristic (ROC) curve were used to evaluate the model, and decision curve analysis (DCA) was used to analyze the clinical applicability of the model. Internal validation of the model was performed using bootstrap method.Results:A total of nine variables were screened as factors associated with the postoperative infections using LASSO regression, including gender, smoking history, body mass index (BMI), serum level of alpha fetoprotein, resection fashion (anatomical or non-anatomical), intraoperative blood loss, surgical method (laparoscopy or open), serum level of creatinine, and postoperative biliary fistula. Multivariate logistic regression analysis showed that BMI, resection fashion, intraoperative blood loss >500 ml, and postoperative biliary fistula were risk factors for postoperative infection (all P<0.05). Based on the above risk factors, a postoperative infection nomogram of hepatitis B-associated HCC after hepatectomy was established. The C-index was 0.839 (95% CI: 0.768-0.910), and the area under ROC curve was 0.853 (95% CI: 0.795-0.912), indicating that the model had a good predictive ability. The calibration curve was basically consistent with the ideal curve. The DCA showed that the model had a good clinical applicability. Internal validation C-index was 0.829 (95% CI: 0.766-0.892). Conclusion:The nomogram based on BMI, surgical resection fashion, intraoperative blood loss >500 ml, and postoperative biliary fistula has a high predictive accuracy and can be used to predict postoperative infections after hepatectomy for HCC.

Myocardial infarction is one of the severe cardiovascular diseases.The patients with myocardial infarction die of heart failure or arrhythmia.In recent years,the studies in myocardial infarction therapies have advanced greatly,especially the preclinical experimental studies.The experimental studies of myocardial infarction often rely on animal models.Therefore,successful establishment of the myocardial infarction models has important application value in exploring the new techniques and measures for repairing the infarcted myocardium.In this paper,the techniques in establishment of the myocardial infarction models and strategies of their application are summarized.

Objective:To explore the effect of TP53 mutation variant allele frequency(VAF)on the prognosis of diffuse large B-cell lymphoma(DLBCL)patients.Methods:This study included 155 patients with DLBCL who were first diagnosed in the People's Hospital of Xinjiang Uygur Autonomous Region from March 2009 to March 2022. Complete clinical data and paraffin-embedded tumor tissue samples were obtained,and DNA was extracted from tumor tissues.The gene mutation profile of DLBCL patients was detected and analyzed by second-generation sequencing technology.Kaplan-Meier method was used to analyze the mutation status of TP53 gene and the relationship between mutation VAF and OS.Cox regression univariate and multivariate analysis was use to analyze the independent factors affecting OS.A nornogram model for predicting 1,3,and 5 years OS in DLBCL patients were established to evaluated the performance of the model based on C-index and calibration curves.Results:The average value of TP53 mutation VAF in male DLBCL patients was significantly higher than that in female patients (P<0.05 ).Patients with TP53 mutantion had shorter OS than those with wild-type patients (P=0.030).The optimal VAF threshold for TP53 mutation based on OS stratification was 33.61％(P<0.001),and patients with TP53 mutation VAF≥34％had shorter OS than those with TP53 mutation VAF<34％and wild-type patients (P<0.001).Multivariate Cox analysis showed that TP53 mutation VAF≥34％ was an independent poor predictor of OS (HR=4.05,P<0.001),and IPI score ≥3 was an independent predictor of OS poor (HR=2.27,P=0.008).In combination with factors with independent prognostic significance obtained from multi-factor analysis,we constructed a nomogram model for predicting 1-year,3-year,5-year OS in DLBCL patients.The results showed that the C index of TP53-mutated VAF combined with IPI model was 0.743,which predicted the value of 1-year,3-year,and 5-year OS in DLBCL patients.Calibration curves show that the model has good agreement between predicted and actual survival of DLBCL patients at 1-year,3-year,and 5-year. Conclusion:TP53 mutant VAF has prognostic value in DLBCL patients,and TP53 mutant VAF≥34％ is an independent risk factor for OS in DLBCL patients.The prognosis model of TP53 mutation VAF combined with IPI nomogram constructed in this study has good predictive performance for DLBCL patients.

Efficient bacterial drug susceptibility test can help precise guidance on using antimicrobial and improve the efficiency of development of antibiotics.Traditional antimicrobial susceptibility testing(AST)methods are simple,reliable and specific,but suffer from drawbacks of time-consuming.The CCK8 reagent can be reduced by the dehydrogenase in the bacterial cells to form a water-soluble orange-yellow formazan,and the concentration of viable bacteria is proportional to the absorbance of formazan at 450 nm(OD450 nm).In this work,based on the principle of CCK8 colorimetry,the antibiotic loaded composite fiber membrane was used as the culture matrix for AST.Simple,rapid and high-throughput AST was realized by the difference in OD450 nm,which reflected the differences in viable bacteria quantity during bacterial growth.The total detection time was less than 8 h.The potential application of the method was evaluated using S.aureus,P.aeruginosa in wound simulation fluid and E.coli in artificial urine as simulated actual samples.The results of this method were in consistent with the disk diffusion test.This method provided a new idea for AST,which was helpful for the guidance of clinical medication and the development of antibiotics.

OBJECTIVES: To evaluate the performance of different multi-modality fusion models for predicting radiation-induced oral mucositis (RIOM) following radiotherapy in patients with nasopharyngeal carcinoma (NPC). METHODS: We retrospectively collected the data from 198 patients with locally advanced NPC who experienced RIOM following radiotherapy at the Affiliated Tumor Hospital of Guangzhou Medical University from September, 2022 to February, 2023. Based on oral radiation dose-volume parameters and clinical features of NPC, basic classification models were developed using different combinations of feature selection algorithms and classifiers and integrated using a multi-criterion decision-making (MCDM)-based classifier fusion (MCF) strategy and its variant, the H-MCF model. The basic classification models, MCF model, the H-MCF model with a single modality or multiple modalities and other ensemble classifiers were compared for performances for predicting RIOM by assessing the area under the ROC curve (AUC), accuracy, sensitivity, and specificity. RESULTS: The H-MCF model, which integrated multi-modality features, achieved the highest accuracy for predicting severe RIOM with an AUC of 0.883, accuracy of 0.850, sensitivity of 0.933, and specificity of 0.800. CONCLUSIONS Compared with each of the individual classifiers, the multimodal multi-classifier fusion algorithm combining clinical and dosimetric modalities demonstrates superior performance in predicting the incidence of severe RIOM in NPC patients following radiotherapy.
Humans ; Nasopharyngeal Carcinoma/radiotherapy* ; Nasopharyngeal Neoplasms/radiotherapy* ; Retrospective Studies ; Stomatitis/diagnosis* ; Algorithms ; Radiation Injuries/diagnosis* ; Female ; Male ; ROC Curve

Aim To observe the effect of Gupi Xiaoji Decoction (GPXJY) on the structure and function of mitochondria of human hepatoma cell HepG2 cells and explore its possible mechanism. Methods CCK8 was used to detect cell proliferation, Mito-Tracker Green fluorescence staining was used to observe the mitochondrial structure, flow cytometry was used to detect the membrane potential, Elisa was used to detect the ATP content, fluoroscopic electron microscopy was used to observe the microstructure changes, and high-content screening(HCS) was used to detect the related proteins. Results Fluorescence staining showed that GPXJY damaged the mitochondria of HepG2 cells and decreased the content of ATP. The results of flow cytometry showed that GPXJY could reduce the mitochondrial membrane potential of HepG2 cells. The results of electron microscope showed that GPXJY made the mitochondria of cancer cells swell and so on. HCS found that GPXJY significantly reduced the average fluorescence intensity of Bcl-2 in HepG2 cells, and significantly increased the average fluorescence intensity of apoptosis promoting proteins Bax, cytochrome-c, caspase-3 and cleaved-caspase-3, which was statistically significant. Conclusion GPXJY can regulate the structure and function of mitochondria in HepG2 cells.

Anthocyanidin reductase (ANR) is one of the key enzyme in the flavonoid biosynthetic pathway, and its catalytic activity is important for the synthesis of plant anthocyanin. In this study, specific primers were designed according to the transcriptome data of Lonicera japonica Thunb., and the CDS, gDNA and promoter sequences of ANR genes from Lonicera japonica Thunb. and Lonicera japonica Thunb. var. chinensis (Wats.) Bak. were cloned. The results showed that the CDS sequences of LjANR and rLjANR were 1 002 bp, the gDNA sequences were 2 017 and 2 026 bp respectively, and the promoter sequences were 1 170 and 1 164 bp respectively. LjANR and rLjANR both contain 6 exons and 5 introns, which have the same length of exons and large differences in introns. The promoter sequences both contain a large number of light response, hormone response and abiotic stress response elements. Bioinformatics analysis showed that both LjANR and rLjANR encoded 333 amino acids and were predicted to be stable hydrophobic proteins without transmembrane segments and signal peptides. The secondary structures of LjANR and rLjANR were predicted to be mainly consisted of α-helix and random coil. Sequence alignment and phylogenetic analysis showed that LjANR and rLjANR had high homology with Actinidia chinensis var. chinensis, Camellia sinensis and Camellia oleifera, and were closely related to them. The expression levels of LjANR and rLjANR were the highest in flower buds and the lowest in roots. The expression patterns at different flowering stages were similar, with higher expression levels in S1 and S2 stages and then gradually decreased until reaching the lowest level in S4 stage, after a slow increase in S5 stage, the expression levels decreased again. The expression levels of ANR genes in the two varieties showed significant differences in roots, S2 and S5 stages, while the differences in stems, flower buds, S1, S3 and S6 stages were extremely significant. The prokaryotic expression vector pET-32a-LjANR was constructed for protein expression. The target protein was successfully expressed of about 59 kD. This study lays a foundation for further study on the function of ANR gene and provides theoretical guidance for breeding new varieties of Lonicera japonica Thunb.

OBJECTIVE: To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients. METHODS: By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup. RESULTS: Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens. CONCLUSIONS There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans ; Syndrome ; Ischemic Stroke ; Medicine, Chinese Traditional ; Liver ; Phenotype

Objective To develop a CT-based weighted radiomic model that predicts tumor response to programmed death-1(PD-1)/PD-ligand 1(PD-L1)immunotherapy in patients with non-small cell lung cancer.Methods The patients with non-small cell lung cancer treated by PD-1/PD-L1 immune checkpoint inhibitors in the Peking Union Medical College Hospital from June 2015 to February 2022 were retrospectively studied and classified as responders(partial or complete response)and non-responders(stable or progressive disease).Original radiomic features were extracted from multiple intrapulmonary lesions in the contrast-enhanced CT scans of the arterial phase,and then weighted and summed by an attention-based multiple instances learning algorithm.Logistic regression was employed to build a weighted radiomic scoring model and the radiomic score was then calculated.The area under the receiver operating characteristic curve(AUC)was used to compare the weighted radiomic scoring model,PD-L1 model,clinical model,weighted radiomic scoring + PD-L1 model,and comprehensive prediction model.Results A total of 237 patients were included in the study and randomized into a training set(n=165)and a test set(n=72),with the mean ages of(64±9)and(62±8)years,respectively.The AUC of the weighted radiomic scoring model reached 0.85 and 0.80 in the training set and test set,respectively,which was higher than that of the PD-L1-1 model(Z=37.30,P<0.001 and Z=5.69,P=0.017),PD-L1-50 model(Z=38.36,P<0.001 and Z=17.99,P<0.001),and clinical model(Z=11.40,P<0.001 and Z=5.76,P=0.016).The AUC of the weighted scoring model was not different from that of the weighted radiomic scoring + PD-L1 model and the comprehensive prediction model(both P>0.05).Conclusion The weighted radiomic scores based on pre-treatment enhanced CT images can predict tumor responses to immunotherapy in patients with non-small cell lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; B7-H1 Antigen/therapeutic use* ; Retrospective Studies ; Programmed Cell Death 1 Receptor ; Tomography, X-Ray Computed ; Immunotherapy