Hydrostatic pressure mediates epithelial-mesenchymal transition of cholangiocytes through RhoA/ROCK and TGF-ß/smad pathways.

Biomechanical cue within the tissue microenvironment is known to play a critical role in regulating cell behaviors and maintaining tissue homeostasis. As hydrostatic pressure often increases in biliary system under pathological states, we investigated the effect of the moderate elevation of the hydrostatic pressure on biliary epithelial cells, especially on the epithelial-mesenchymal transition (EMT). Human intrahepatic biliary epithelial cells were loaded to hydrostatic pressure using a commercial device. We found that loading the cells to 50 mmHg hydrostatic pressure induced obvious morphological changes and significantly upregulated vimentin, ZEB1, and pSmad2/3, fibronectin, and collagen 1α. All changes induced by hydrostatic pressure loading were effectively mitigated by either ROCK inhibitor (Y-27632) or ALK5 inhibitor (SB-431542). Our in vitro experimental data suggests that hydrostatic pressure loading induces EMT of cholangiocytes through RhoA/ROCK and TGF-ß/Smad pathways. Elevated hydrostatic pressure in biliary duct system under pathological states may promote the biliary epithelial cells shifting to profibrotic and mesenchymal characteristics.

Integrative approach for classifying male tumors based on DNA methylation 450K data.

Malignancies such as bladder urothelial carcinoma, colon adenocarcinoma, liver hepatocellular carcinoma, lung adenocarcinoma and prostate adenocarcinoma significantly impact men's well-being. Accurate cancer classification is vital in determining treatment strategies and improving patient prognosis. This study introduced an innovative method that utilizes gene selection from high-dimensional datasets to enhance the performance of the male tumor classification algorithm. The method assesses the reliability of DNA methylation data to distinguish the five most prevalent types of male cancers from normal tissues by employing DNA methylation 450K data obtained from The Cancer Genome Atlas (TCGA) database. First, the chi-square test is used for dimensionality reduction and second, L1 penalized logistic regression is used for feature selection. Furthermore, the stacking ensemble learning technique was employed to integrate seven common multiclassification models. Experimental results demonstrated that the ensemble learning model utilizing multiple classification models outperformed any base classification model. The proposed ensemble model achieved an astonishing overall accuracy (ACC) of 99.2% in independent testing data. Moreover, it may present novel ideas and pathways for the early detection and treatment of future diseases.

Identifying TME signatures for cervical cancer prognosis based on GEO and TCGA databases.

The mortality rate from cervical cancer (CESC), a malignant tumor that affects women, has increased significantly globally in recent years. The discovery of biomarkers points to a direction for the diagnosis of cervical cancer with the advancement of bioinformatics technology. The goal of this study was to look for potential biomarkers for the diagnosis and prognosis of CESC using the GEO and TCGA databases. Because of the high dimension and small sample size of the omic data, or the use of biomarkers generated from a single omic data, the diagnosis of cervical cancer may be inaccurate and unreliable. The purpose of this study was to search the GEO and TCGA databases for potential biomarkers for the diagnosis and prognosis of CESC. We begin by downloading CESC (GSE30760) DNA methylation data from GEO, then perform differential analysis on the downloaded methylation data and screen out the differential genes. Then, using estimation algorithms, we score immune cells and stromal cells in the tumor microenvironment and perform survival analysis on the gene expression profile data and the most recent clinical data of CESC from TCGA. Then, using the 'limma' package and Venn plot in R language to perform differential analysis of genes and screen out overlapping genes, these overlapping genes were then subjected to GO and KEGG functional enrichment analysis. The differential genes screened by the GEO methylation data and the differential genes screened by the TCGA gene expression data were intersected to screen out the common differential genes. A protein-protein interaction (PPI) network of gene expression data was then created in order to discover important genes. The PPI network's key genes were crossed with previously identified common differential genes to further validate them. The Kaplan-Meier curve was then used to determine the prognostic importance of the key genes. Survival analysis has shown that CD3E and CD80 are important for the identification of cervical cancer and can be considered as potential biomarkers for cervical cancer.

Intelligent assistant diagnosis for pediatric inguinal hernia based on a multilayer and unbalanced classification model.

As one of the most common diseases in pediatric surgery, an inguinal hernia is usually diagnosed by medical experts based on clinical data collected from magnetic resonance imaging (MRI), computed tomography (CT), or B-ultrasound. The parameters of blood routine examination, such as white blood cell count and platelet count, are often used as diagnostic indicators of intestinal necrosis. Based on the medical numerical data on blood routine examination parameters and liver and kidney function parameters, this paper used machine learning algorithm to assist the diagnosis of intestinal necrosis in children with inguinal hernia before operation. In the work, we used clinical data consisting of 3,807 children with inguinal hernia symptoms and 170 children with intestinal necrosis and perforation caused by the disease. Three different models were constructed according to the blood routine examination and liver and kidney function. Some missing values were replaced by using the RIN-3M (median, mean, or mode region random interpolation) method according to the actual necessity, and the ensemble learning based on the voting principle was used to deal with the imbalanced datasets. The model trained after feature selection yielded satisfactory results with an accuracy of 86.43%, sensitivity of 84.34%, specificity of 96.89%, and AUC value of 0.91. Therefore, the proposed methods may be a potential idea for auxiliary diagnosis of inguinal hernia in children.

Predicting the Lung Adenocarcinoma and Its Biomarkers by Integrating Gene Expression and DNA Methylation Data.

The early symptoms of lung adenocarcinoma patients are inapparent, and the clinical diagnosis of lung adenocarcinoma is primarily through X-ray examination and pathological section examination, whereas the discovery of biomarkers points out another direction for the diagnosis of lung adenocarcinoma with the development of bioinformatics technology. However, it is not accurate and trustworthy to diagnose lung adenocarcinoma due to omics data with high-dimension and low-sample size (HDLSS) features or biomarkers produced by utilizing only single omics data. To address the above problems, the feature selection methods of biological analysis are used to reduce the dimension of gene expression data (GSE19188) and DNA methylation data (GSE139032, GSE49996). In addition, the Cartesian product method is used to expand the sample set and integrate gene expression data and DNA methylation data. The classification is built by using a deep neural network and is evaluated on K-fold cross validation. Moreover, gene ontology analysis and literature retrieving are used to analyze the biological relevance of selected genes, TCGA database is used for survival analysis of these potential genes through Kaplan-Meier estimates to discover the detailed molecular mechanism of lung adenocarcinoma. Survival analysis shows that COL5A2 and SERPINB5 are significant for identifying lung adenocarcinoma and are considered biomarkers of lung adenocarcinoma.

A Prospective Study on Defining the Indications of Prophylactic Level IB Radiotherapy in Nasopharyngeal Carcinoma Based on a Risk Score Model.

OBJECTIVE: The aim of the study was to investigate clinical evidence for defining the indications of prophylactic level IB radiotherapy (RT) in nasopharyngeal carcinoma (NPC). METHODS: We conducted a phase 2 prospective study in 116 newly diagnosed patients with NPC treated by intensity-modulated RT. Whether level IB was irradiated is based on the risk score model (RSM). Two groups based on RSM were obtained: low risk and high risk. Omission of level IB irradiation was conducted in the low-risk group, otherwise level IB was contoured as part of the treatment target. Grade 2 or worse xerostomia at 12 months was assessed by the European Organization for Research and Treatment of Cancer (EORTC) QLQ-H&N35 questionnaire. RESULTS: At a median follow-up of 16 months (range, 1-26 months), none of the patients developed failures at level IB. The 1-year overall survival, locoregional recurrence-free survival, and distant metastasis-free survival rates were 98.3%, 97.2%, and 95.8%, respectively. At 12 months xerostomia side-effects were reported in 90 of 116 alive patients; grade 2 or worse xerostomia at 12 months was significantly lower in the low-risk group than in the high-risk group. CONCLUSION: Omission of level IB irradiation was feasible for patients with low-risk IB lymph nodes metastasis.

TLR4 Knockout Attenuates BDL-induced Liver Cholestatic Injury through Amino Acid and Choline Metabolic Pathways.

The exact mechanism by which knockout of Toll-like receptor 4 (TLR4) attenuates the liver injury remains unclear. The present study aimed to examine the role of TLR4 in the pathogenesis of bile duct ligation (BDL)-induced liver cholestatic injury and the underlying mechanism. Wild type (WT) mice and TLR4 knockout (TLR4-KO) mice were used for the establishment of the BDL model. Metabolomics were applied to analyze the changes of small molecular metabolites in the serum and liver of the two groups. The serum biochemical indexes and the HE staining results of liver tissue showed that liver damage was significantly reduced in TLR4-KO mice after BDL when compared with that in WT mice. The metabolite analysis results showed that TLR4 KO could maintain the metabolisms of amino acids- and choline-related metabolites. After BDL, the amino acids- and choline-related metabolites, especially choline and 3-hydroxybutyrate, were significantly increased in WT mice (both in serum and liver), but these metabolites in the liver of TLR4-KO mice after BLD were not significant different from those before BLD. In conclusion, TLR4 KO could attenuate BDL-induced liver cholestatic injury through regulating amino acid and choline metabolic pathways.

Analyzing Surgical Treatment of Intestinal Obstruction in Children with Artificial Intelligence.

Intestinal obstruction is a common surgical emergency in children. However, it is challenging to seek appropriate treatment for childhood ileus since many diagnostic measures suitable for adults are not applicable to children. The rapid development of machine learning has spurred much interest in its application to medical imaging problems but little in medical text mining. In this paper, a two-layer model based on text data such as routine blood count and urine tests is proposed to provide guidance on the diagnosis and assist in clinical decision-making. The samples of this study were 526 children with intestinal obstruction. Firstly, the samples were divided into two groups according to whether they had intestinal obstruction surgery, and then, the surgery group was divided into two groups according to whether the intestinal tube was necrotic. Specifically, we combined 63 physiological indexes of each child with their corresponding label and fed them into a deep learning neural network which contains multiple fully connected layers. Subsequently, the corresponding value was obtained by activation function. The 5-fold cross-validation was performed in the first layer and demonstrated a mean accuracy (Acc) of 80.04%, and the corresponding sensitivity (Se), specificity (Sp), and MCC were 67.48%, 87.46%, and 0.57, respectively. Additionally, the second layer can also reach an accuracy of 70.4%. This study shows that the proposed algorithm has direct meaning to processing of clinical text data of childhood ileus.

Non-coding RNA 886 promotes renal cell carcinoma growth and metastasis through the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway.

Non-coding RNA 886 (nc886) has been suggested to serve tumor-suppressing roles in several cancer cells. However, the expression pattern of nc886 and its function in renal cell carcinoma (RCC) has not been reported until now. The present study aimed to examine the expression of nc886 in human RCC tissues and to investigate the role of nc886 in RCC cell proliferation, apoptosis and invasion in vitro. Furthermore, whether nc886 exerts its function on RCC via Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) signaling was investigated. It was demonstrated that nc886 is overexpressed in human RCC tissues compared with normal tissues, as determined by reverse transcription-quantitative polymerase chain reaction analysis. The nc886 mimic and inhibitor were transfected into the A­498 cells to overexpress or knock down nc886 expression. Cell proliferation, cell apoptosis rate and cell invasion ability were determined by MTT, flow cytometry and Transwell­Matrigel invasion assays. The results demonstrated that nc886 overexpression promotes A­498 cell proliferation and invasion, and inhibits cell apoptosis, while nc886 knockdown resulted in the opposite effects. Furthermore, nc886 could activate the JAK2/STAT3 signaling pathway in A­498 cells. AG490, an inhibitor of JAK2, could attenuate the effects of nc886 on cell proliferation, apoptosis and invasion. In conclusion, to the best of our knowledge, the present study for the first time revealed the expression profile and the tumor­promoting role of nc886 in RCC. nc886 affects RCC cell proliferation, apoptosis and invasion at least partially via the activation of JAK2/STAT3 signaling. This study may provide a useful therapeutic target for RCC.

Clinicopathological study of sporadic Burkitt lymphoma in children.

BACKGROUND: Non-Hodgkin lymphoma is the fourth most common malignant tumors in children, Burkitt lymphoma (BL) accounts for 30-50% of all pediatric lymphomas. The aim of this study was to investigate the clinicopathologic features, immunophenotype, Epstein-Barr virus (EBV) infection and c-myc gene rearrangement of sporadic BL in children. METHODS: Ninety-two cases of pediatric BL were retrospectively analyzed for clinical features, immunohistochemistry, EBV-encoded RNA (EBER) status by in situ hybridization and c-myc gene rearrangement by fluorescence in situ hybridization. RESULTS: In the 92 cases, male is predominant in sex distribution (M: F = 3.38:1). The average age at diagnosis was 4.97 years. Polypoid BL showed a lower clinical stage (P = 0.002), and advanced clinical stage and low serum albumin level at diagnosis were associated with poor outcome (P = 0.024 and 0.053, respectively). The positive expression of CDl0, B-cell lymphoma-6, MUMl and EBER were 95.7% (88 cases), 92.4% (85 cases), 22.8% (21 cases), 41.3% (38 cases), respectively. The expression of MUM1 were not associated with EBV infection status (P = 1.000). c-myc gene rearrangement was detected in 94.6% (87/92). Clinical treatment information for 54 cases was collected, 21 patients died of tumor after surgery alone, 33 patients received surgery and chemotherapy, and of which six patients died shortly afterwords (MUM1 positive expression in 3 cases, P = 0.076). CONCLUSIONS: The anatomical location, growth pattern and serum albumin level of BL were associated with biological behavior. MUM1 may be a potential adverse prognostic marker, and not associated with EBV infection status.

Synthesis and blocking activities of isoindolinone- and isobenzofuranone-containing phenoxylalkylamines as potent α(1)-adrenoceptor antagonists.

This paper describes the synthesis and blocking activities of twelve new isoindolinone- and isobenzofuranone-containing phenoxylalkylamines as potent α(1)-Adrenoceptor antagonists. These compounds were synthesized in moderate to good yields starting from 3,4-dimethylphenol, and characterized with (1)H-NMR, MS, IR and elemental analysis. Their blocking activities toward α(1)-Adrenoceptors were evaluated on isolated rat anococcygeus muscles. The results indicated that these compounds were very strong in blocking α(1)-Adrenoceptors, and most of them exhibited activities that were comparable to that of known potent α(1)-Adrenoceptor antagonist 1-(2,6-dimethylphenoxy)-2-(3,4-dimethoxyphenylethylamino)propane hydrochloride (DDPH).

Synthesis and blocking activities of a new class of α1-adrenoceptor antagonists.

Finding effective chemotherapeutic agents for clinical use is a long-lasting goal in medicinal chemistry. In this study, we report a new class of α1-adrenoceptor (α1-AR) antagonists. Specifically, we describe the synthesis and the blocking activities toward α1-AR of 7-(2-hydroxypropoxy)-3,4-dihydroisoquinolin-1(2H)-one 1 and its structurally perturbed analogs 2-11 that were designed according to the principle of bioisosterism. Their structures were identified with IR, (1) H NMR, MS, HRMS and elemental analysis. The blocking activities of compounds 1-11 were evaluated on isolated rat anococcygeus muscles. The results indicated that these compounds showed moderate to good activities. Among them, compound 1 exhibited the highest activity that was comparable to those of known α1-AR antagonists tamsulosin and DDPH (1-(2,6-dimethylphenoxy)-2-(3,4-di- methoxyphenylethylamino)propane hydrochloride) and thus may be exploitable as a lead compound for the discovery of promising α1-AR antagonists.

[Establishment of a mouse model of biliary obstruction and its dynamic observations].

OBJECTIVE: To establish a mouse model of biliary obstruction. METHODS: Sixty-four Balb/c mice were divided into experimental group and control group. Obstructive jaundice was induced in the mice in the experimental group by common bile duct ligation. The level of the common bile duct diameter, WBC, LYM MID, LYM%, MID% and ALT, AST, TBIL, DBIL, IBIL, ALP and CHOL were measured 12 h and 1, 2 ,3, 4, 5, and 7 days after the ligation. The morphological changes in the liver were also observed. RESULTS: The level of common bile duct diameter, WBC, LYM, MID, LYM%, MID% and ALT, AST, TBIL, DBIL, ALP and CHOL all underwent changes with time following certain patterns. CONCLUSION: The jaundice manifestation of this model is similar to that of patients with biliary obstruction, and this model may provide a reliable model for studying the mechanism of obstructive jaundice.

[Effects of hepatic growth factor on c-kit+Lin- cell proliferation in mouse bone marrow].

OBJECTIVE: To determine the optimal cytokine combinations with hepatic growth factor (HGF) that results in the most significant simultaneous in vitro expansion of cc-kit(+)Lin(-) cells derived from the bone marrow. METHODS: C-kit(+)Lin(-) cells were isolated from mouse bone marrow using a high-gradient magnetic cell sorting system (MACS) and expanded in the presence of stem cell factor (SCF), FLt-3 ligand (FL), leukemia inhibitor factor (LIF) thrombopoietin (TPO) and different concentrations of HGF for 7days in a liquid culture system. The total cell number and Annexin-V-positive cell number were counted, and the antigen expressions were studied with fluorescence-activated cell sorting (FACS). RESULTS: In each group, c-kit(+)Lin(-) cells were expanded effectively and rapidly by 2 to 8 folds. Addition of 10 ng/ml HGF into SCF+FL+LIF+TPO resulted in the most significant expansion of c-kit(+)Lin(-) and total cells by 8.00 and 45.43 folds, respectively, with cell apoptosis rate of 17.42 %. But as the concentration of HGF increased, the c-kit(+)Lin(-) cells and the apoptosis rate decreased. CONCLUSION: HGF at10 ng/ml shows optimal synergistic effect with SCF, FL, LIF and TPO in expansion of c-kit(+)Lin(-) cells, and excessive HGF may induce cell differentiation.

[Differentiation of transplanted mouse c-Kit+lin- bone marrow cells into hepatocytes in vitro].

OBJECTIVE: To ascertain whether mouse c-Kit(+)Lin- bone marrow cells have the potential of hepatic stem cells. METHODS: c-Kit(+)lin- bone marrow cells were isolated and purified by magnetic-activated cell sorting (MACS) from BALB/C male donor mice, and immediately transplanted into age-matched BALB/C syngeneic female mice with 35-Gy total liver irradiation. The recipients were sacrificed 1 month after the transplantation for pathological observation of the liver morphology. The presence of Y-chromosome was examined in the liver cells of the recipient by in situ hybridization (ISH), and alpha-fetoprotein (AFP) and albumin in the cells were detected by immunohistochemistry. RESULTS: The hepatocytes positive for Sry gene on Y-chromosome were identified 1 month after transplantation, and immunohistochemistry for AFP and albumin confirmed that the donor mice-derived cells were hepatocytes. CONCLUSION: c-Kit(+)lin- bone marrow cells have the potential of hepatic stem cells, which can reside and differentiate into hepatocytes in the liver after transplantation. c-Kit(+)lin- bone marrow cells can be used as the source cells of cell transplantation for liver disease.