ObjectiveThis study aimed to investigate the intervention effect of Renqing Mangjue on the malignant transformation of gastric mucosal epithelial cells induced by N-methyl-N′-nitro-N-nitrosoguanidine （MNNG） and to explore its molecular mechanism in preventing precancerous lesions of gastric cancer based on the cyclic guanosine monophosphate （cGMP）/protein kinase G （PKG）/mitogen-activated protein kinase （MEK）/extracellular signal-regulated kinase （ERK） signaling pathway. MethodsHuman gastric mucosal epithelial cells （GES-1） were initially induced by MNNG to establish a precancerous cell model （MC cells）. The effective concentration of MNNG for inducing malignant transformation in GES-1 cells was screened using the cell proliferation activity decection （CCK-8） assay， and the effective concentration of Renqing Mangjue for inhibiting the proliferation of transformed GES-1 cells was also determined. GES-1 cells were divided into a blank control group， a model group， and treatment groups with Renqing Mangjue at concentrations of 1， 3， 10， and 30 mg·L^-1. Furthermore， the effects of Renqing Mangjue on the migratory ability and epithelial-mesenchymal transition （EMT） characteristics of GES-1 malignant transformed cells were evaluated using Transwell migration assays， wound healing assays， and real-time quantitative reverse transcription polymerase chain reaction （Real-time PCR）. Additionally， candidate chemical components and target sites of Renqing Mangjue were obtained from the TCMIP v2.0 database， and disease targets at various stages of gastric cancer precursors were sourced from the Gene Expression Omnibus （GEO） database. Pathway enrichment analysis was performed using the Metascape database to predict the potential mechanisms of action of Renqing Mangjue. Finally， the protective mechanism of Renqing Mangjue against gastric cancer precursors was validated through Western blot analysis. ResultsAt a concentration of 20 μmol·L^-1， MNNG exhibited an inhibition rate of approximately 50% on GES-1 cells （P<0.01）， and at this concentration， the GES-1 cells displayed biological characteristics indicative of malignant transformation. In contrast， Renqing Mangjue had no significant effect on the proliferation of normal GES-1 cells， but significantly inhibited the proliferation of MC cells （P<0.01） and markedly reduced their migratory capacity （P<0.01）. Moreover， it also increased the mRNA expression level of E-cadherin during the EMT process （P<0.05）， while inhibiting the expression of both N-cadherin and the transcription factor Snail mRNA （P<0.05， P<0.01）. Network predictions suggested that Renqing Mangjue may prevent gastric cancer precursors through modulating the cGMP/PKG and MAPK/ERK signaling pathways. Furthermore， Western blot results indicated that Renqing Mangjue upregulated the expression of PKG and NPRB （B-type natriuretic peptide receptor） proteins in the cGMP/PKG pathway （P<0.01）， while downregulating the expression of the downstream proteins MEK and ERK （P<0.05， P<0.01）. ConclusionIn summary， Renqing Mangjue can prevent gastric cancer precursors by inhibiting the proliferation and migration of malignant transformed GES-1 cells， thereby delaying the EMT process. The underlying mechanisms may be related to the activation of the cGMP/PKG pathway and the inhibition of the MEK/ERK signaling pathway.

Objective To study the effects of Ginkgo biloba extract(GBE)on the proliferation and apoptosis of human cerebral adventitia fibroblasts(HBVAFs)by regulating the phosphatidylinositol 3 kinase(PI3K)/protein kinase B(AKT)signaling pathway.Methods HBVAFs cells were divided into blank group(normal culture,no treatment),experimental-L,-M,-H groups(25,50 and 100 mg·L-1 GBE treatment for 24 h)and combined group(100 mg·L-1 GBE treatment and 2 nmol·L-1 insulin-like growth factor-1 treatment for 24 h).Cell proliferation was detected by thiazole blue assay,cell apoptosis was detected by flow cytometry,and the protein expressions of phosphorylated-PI3K(p-PI3K),PI3K、phosphorylated-AKT(p-AKT)and AKT were detected by Western blot.Results The cell survival rates of experimental-L,experimental-M,experimental-H,combined and blank groups were(66.78±8.21)％,(53.51±7.40)％,(42.33±6.01)％,(75.69±5.87)％and(96.77±12.80)％;the apoptosis rates were(24.83±2.47)％,(30.07±3.06)％,(37.02±4.66)％,(16.71±2.11)％and(8.99±0.19)％;p-PI3K/PI3K ratios were 0.75±0.07,0.62±0.06,0.43±0.04,0.72±0.05 and 0.90±0.09;p-AKT/AKT ratios were 0.70±0.07,0.60±0.06,0.38±0.03,0.69±0.06 and 0.90±0.09,respectively.The above indexes of the experimental-L,-M,-H groups were compared with the blank group,and the above indexes of the combined group were compared with the experimental-H group,the differences were statistically significant(all P＜0.05).Conclusion GBE can reduce the proliferation of HBVAFs,promote apoptosis,and its mechanism is related to the inhibition of PI3K/AKT signaling pathway.

Abstract：Objective To predict the structure and function of sterol O⁃acyltransferase 1（SOAT1）related to hepatocellular carcinoma（HCC）by using bioinformatics tools，in order to understand its mechanism as the marker and therapeutic target of S⁃Ⅲ subtype. Methods The structure，function and protein interaction of SOAT1 were predicted and analyzed by using databases or softwares such as NCBI，STRING，Protscale，SignalP，TMHMM，PSORT，SOPMA，SWISS ⁃ MODEL， NetNGlyc，NetOGlyc，Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with good stability，which was a nonclassical pathway protein with 8 transmembrane regions，mainly distributed among the cell membrane. SOAT1 was expressed in many tissues，while most of them in the adrenal gland，which showed multiple phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important role，and lipid expression was closely related to the development of cancer，indicating that the treatment of HCC may be achieved by regulating the expression of SOAT1 gene.

The long-term survival outcomes of radical prostatectomy (RP) in Chinese prostate cancer (PCa) patients are poorly understood. We conducted a single-center, retrospective analysis of patients undergoing RP to study the prognostic value of pathological and surgical information. From April 1998 to February 2022, 782 patients undergoing RP at Queen Mary Hospital of The University of Hong Kong (Hong Kong, China) were included in our study. Multivariable Cox regression analysis and Kaplan-Meier analysis with stratification were performed. The 5-year, 10-year, and 15-year overall survival (OS) rates were 96.6%, 86.8%, and 70.6%, respectively, while the 5-year, 10-year, and 15-year PCa-specific survival (PSS) rates were 99.7%, 98.6%, and 97.8%, respectively. Surgical International Society of Urological Pathology PCa grades (ISUP Grade Group) ≥4 was significantly associated with poorer PSS (hazard ratio [HR] = 8.52, 95% confidence interval [CI]: 1.42-51.25, P = 0.02). Pathological T3 stage was not significantly associated with PSS or OS in our cohort. Lymph node invasion and extracapsular extension might be associated with worse PSS (HR = 20.30, 95% CI: 1.22-336.38, P = 0.04; and HR = 7.29, 95% CI: 1.22-43.64, P = 0.03, respectively). Different surgical approaches (open, laparoscopic, or robotic-assisted) had similar outcomes in terms of PSS and OS. In conclusion, we report the longest timespan follow-up of Chinese PCa patients after RP with different approaches.
Male ; Humans ; Retrospective Studies ; Prostatic Neoplasms/pathology* ; Prostate/pathology* ; Prostatectomy ; Prognosis ; Neoplasm Grading

Male ; Humans ; Germ-Line Mutation ; Prostatic Neoplasms/genetics* ; BRCA2 Protein/genetics* ; Genetic Predisposition to Disease

The present study investigated the mechanism of artesunate in the treatment of bone destruction in experimental rheumatoid arthritis(RA) based on transcriptomics and network pharmacology. The transcriptome sequencing data of artesunate in the inhibition of osteoclast differentiation were analyzed to obtain differentially expressed genes(DEGs). GraphPad Prism 8 software was used to plot volcano maps and heat maps were plotted through the website of bioinformatics. GeneCards and OMIM were used to collect information on key targets of bone destruction in RA. The DEGs of artesunate in inhibiting osteoclast differentiation and key target genes of bone destruction in RA were intersected by the Venny 2.1.0 platform, and the intersection target genes were analyzed by Gene Ontology(GO)/Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment. Finally, the receptor activator of nuclear factor-κB(RANKL)-induced osteoclast differentiation model and collagen-induced arthritis(CIA) model were established. Quantitative real time polymerase chain reaction(q-PCR), immunofluorescence, and immunohistochemistry were used to verify the pharmacological effect and molecular mechanism of artesunate in the treatment of bone destruction in RA. In this study, the RANKL-induced osteoclast differentiation model in vitro was established and intervened with artesunate, and transcriptome sequencing data were analyzed to obtain 744 DEGs of artesunate in inhibiting osteoclast differentiation. A total of 1 291 major target genes of bone destruction in RA were obtained from GeneCards and OMIM. The target genes of artesunate in inhibiting osteoclast differentiation and the target genes of bone destruction in RA were intersected to obtain 61 target genes of artesunate against bone destruction in RA. The intersected target genes were analyzed by GO/KEGG enrichment. According to the results previously reported, the cytokine-cytokine receptor interaction signaling pathway was selected for experimental verification. Artesunate intervention in the RANKL-induced osteoclast differentiation model showed that artesunate inhibited CC chemokine receptor 3(CCR3), CC chemokine receptor 1(CCR1) and leukemia inhibitory factor(LIF) mRNA expression in osteoclasts in a dose-dependent manner compared with the RANKL-induced group. Meanwhile, the results of immunofluorescence and immunohistochemistry showed that artesunate could dose-dependently reduce the expression of CCR3 in osteoclasts and joint tissues of the CIA rat model in vitro. This study indicated that artesunate regulated the CCR3 in the cytokine-cytokine receptor interaction signaling pathway in the treatment of bone destruction in RA and provided a new target gene for the treatment of bone destruction in RA.
Rats ; Animals ; Arthritis, Experimental/drug therapy* ; Artesunate/therapeutic use* ; Arthritis, Rheumatoid/genetics* ; Transcriptome ; Network Pharmacology ; Osteoclasts ; Receptors, Cytokine/therapeutic use*

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Lung Neoplasms/diagnosis* ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Lung Neoplasms/diagnosis* ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia

Objective: To evaluate the value of the 2020 diagnostic criteria (Cellucci criteria) for pediatric autoimmune encephalitis (AE) in children with suspected AE in a single center. Methods: The clinical data of 121 children hospitalized at the First Affiliated Hospital of Zhengzhou University from October 2019 to October 2021, with a diagnosis of suspected AE, were retrospectively collected and analyzed. The children were divided into definite antibody-positive AE (dAPAE), probable antibody-negative AE (prANAE), possible AE (pAE) and non-AE groups according to the Chinese expert consensus and the Graus criteria. A new diagnosis was made according to the Cellucci criteria which was compared with the clinical diagnosis to evaluate the diagnostic value of the Cellucci criteria. The Mann-Whitney U test, Kruskal-Wallis test, and χ² test were used to compare the differences among groups. The sensitivity and specificity were used to evaluate efficacy of the Cellucci criteria. Results: Among the 121 children, 72 were males and 49 were females, with an age of 10.3 (6.5, 14.0) years at disease onset. There were 99 cases diagnosed as AE according the clinical diagnosis (58 males and 41 females), of which 43 cases were diagnosed as dAPAE, 14 cases as prANAE and 42 cases as pAE, and the other 22 cases were not AE (14 males and 8 females). The top 2 initial symptoms in the 99 children with AE were seizures (53 cases, 53.5%) and abnormal mental behaviors (35 cases, 35.4%). And the most common symptoms during the course of the disease were abnormal mental behaviors (77 cases, 77.8%) and seizures (64 cases, 64.6%). There were statistically differences in the incidence of consciousness disorders, autonomic dysfunctions during the course of the disease and the length of hospitalization among the 4 groups (χ²=21.63, 13.74, H=22.60, all P<0.05). Ninety-six of the 121 children were tested for AE-related antibodies, of which 45 cases (46.9%) were antibody-positive. According to the Cellucci criteria, 42 cases were diagnosed as dAPAE, 34 cases as prANAE and 14 cases as pAE. Compared with the clinical diagnosis, the sensitivity of the Cellucci criteria for the diagnosis of the 3 types of AE were 93.02%, 92.86% and 87.88%, and the specificity were 96.23%, 74.39% and 86.36%, respectively. Conclusions: The Cellucci criteria has a high sensitivity and specificity for the diagnosis of pAE and dAPAE in the clinical management of children with suspected AE, while a high sensitivity but low specificity for the diagnosis of prANAE. Therefore, it is recommended to apply the Cellucci criteria selectively in clinical practice according to the actual situation, especially in the diagnosis of prANAE.
Child ; Encephalitis/diagnosis* ; Female ; Hashimoto Disease/diagnosis* ; Humans ; Male ; Retrospective Studies ; Seizures

Based on the network pharmacology, molecular docking, and animal experiment, this study explored the anti-rheumatoid arthritis(RA) mechanism of Sophorae Tonkinesis Radix et Rhizoma(STRR). The active components of STRR were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), Traditional Chinese Medicine Integrative Database(TCMID), and previous research, main targets of STRR from TCMSP and SwissTargetPrediction, and targets of RA from GeneCards, DrugBank, Online Mendelian Inheritance in Man(OMIM), and Therapeutic Target Database(TTD). The common targets of the two were screened by Venny 2.1.0. Cytoscape 3.6.0 was used to generate the "component-target" network, and STRING and Cytoscape were used to construct the protein-protein interaction(PPI) network. DAVID 6.8 was employed for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment, and AutoDock Vina for molecular docking. Finally, collagen-induced rheumatoid arthritis(CIA) mouse model was constructed, and the expression of core target proteins was detected by Western blot. A total of 27 active components, including quercetin, genistein, kaempferol, subprogenin C, and daidzein, and 154 anti-RA targets, such as signal transducer and activator of transcription 3(STAT3), tumor necrosis factor(TNF), mitogen-activated protein kinase 1(MAPK1), AP-1 transcription factor subunit(JUN), and interleukin 6(IL6), of STRR were screened out. It was preliminarily indicated that STRR may regulate phosphatidylinositol-3-kinase-protein kinase B(PI3 K-AKT) signaling pathway and TNF signaling pathway to modulate the positive regulation of RNA polymerase Ⅱ promoter transcription, inflammatory response, and other biological processes, thus exerting the anti-RA effect. The results of molecular docking showed that the main active components in STRR had high binding affinity to the core targets. Animal experiment suggested that the water extract of STRR can significantly reduce the levels of p-STAT3, p-MAPK1, and TNF. This study demonstrated the multi-component, multi-target and multi-pathway synergistic effect of STRR in the treatment of RA, laying an experimental basis for clinical application of this medicine.
Animals ; Mice ; Molecular Docking Simulation ; Network Pharmacology ; Arthritis, Rheumatoid/genetics* ; Arthritis, Experimental/genetics* ; Tumor Necrosis Factor-alpha ; Interleukin-6 ; Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional