Medicine for chronic atrophic gastritis: a systematic review, meta- and network pharmacology analysis.

PURPOSE: The aim of this study is to determine the effectiveness and reliability of adding traditional Chinese medicine (TCM) in the clinical intervention and explore mechanisms of action for chronic atrophic gastritis (CAG) through meta- and network pharmacology analysis (NPAs). METHODS: A predefined search strategy was used to retrieve literature from PubMed, Embase database, Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Database (CBM), Wan Fang Data and China Science and Technology Journal Database (VIP). After applying inclusion and exclusion criteria, a total of 12 randomized controlled trials (RCTs) were included for meta-analysis to provide clinical evidence of the intervention effects. A network meta-analysis using Bayesian networks was conducted to observe the relative effects of different intervention measures and possible ranking of effects. The composition of the TCM formulation in the experimental group was analysed, and association rule mining was performed to identify hub herbal medicines. Target genes for CAG were searched in GeneCards, Online Mendelian Inheritance in Man, PharmGKB, Therapeutic Target Database and DrugBank. A regulatory network was constructed to connect the target genes with active ingredients of the hub herbal medicines. Enrichment analyses were performed using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to examine the central targets from a comprehensive viewpoint. Protein-protein interaction networks (PPINs) were constructed to identify hub genes and conduct molecular docking with differentially expressed genes (DEGs) and corresponding active molecules. RESULTS: A total of 1140 participants from 12 RCTs were included in the statistical analysis, confirming that the experimental group receiving the addition of TCM intervention had better clinical efficacy. Seven hub TCMs (Paeonia lactiflora, Atractylodes macrocephala, Pinellia ternata, Citrus reticulata, Codonopsis pilosula, Salvia miltiorrhiza and Coptis chinensis) were identified through association rule analysis of all included TCMs. Thirteen hub genes (CDKN1A, CASP3, STAT1, TP53, JUN, MAPK1, STAT3, MAPK3, MYC, HIF1A, FOS, MAPK14 and AKT1) were obtained from 90 gene PPINs. Differential gene expression analysis between the disease and normal gastric tissue identified MAPK1 and MAPK3 as the significant genes. Molecular docking analysis revealed that naringenin, luteolin and quercetin were the main active compounds with good binding activities to the two hub targets. GO analysis demonstrated the function of the targets in protein binding, while KEGG analysis indicated their involvement in important pathways related to cancer. CONCLUSIONS: The results of a meta-analysis of 12 RCTs indicate that TCM intervention can improve the clinical treatment efficacy of CAG. NPAs identified seven hub TCM and 13 target genes associated with their actions, while bioinformatics analysis identified two DEGs between normal and CAG gastric tissues. Finally, molecular docking was employed to reveal the mechanism of action of the active molecules in TCM on the DEGs. These findings not only reveal the mechanisms of action of the active components of the TCMs, but also provide support for the development of new drugs, ultimately blocking the progression from chronic gastritis to gastric cancer.

Immunotherapy improved cancer related pain management in patients with advanced Hepato-Pancreatic Biliary Cancers: A propensity score-matched (PSM) analysis.

Background: Hepato-pancreato-biliary (HPB) cancer is a serious form of cancer. in many HPB cancers, including cholangiocarcinoma (also known as bile duct cancer), pancreatic cancer, hepatocellular carcinoma, gallbladder cancer and ampullary cancer, although several treatment options are developed during these decades, the prognosis is still poor. Methods: A total of 356 HPB cancers patients in advanced stage received different kinds of treatments including adjuvant chemotherapy, radiotherapy, targeted therapy and immunotherapy. Among these patients with advanced HPB cancers, 135 patients have received standard opioid treatment for pain controlling. Results: We performed a PSM analysis to minimize differences between groups. Before PSM, 135 patients received standard opioid treatment for pain controlling were enrolled in this study and divided into 4 groups, including chemotherapy, radiotherapy, targeted therapy and immunotherapy. Relevant clinical variables that were available at the time of initial diagnosis were used for 1:1 matching between the two groups. After PSM, the cohort consisted of 18 patients in each group. Prior to PSM, patients received targeted therapy and immunotherapy exhibited shorter median OSs than their counterparts for patients received chemotherapy and radiotherapy (p<0.001). there were so survival differences among all the four different treatments for these patients with HPB cancers (p>0.05). We found the OMED (mg) q/day and NRS scores decreased significantly when patients received immunotherapy treatment. Fewer adverse events were showed between immunotherapy group and other three treatment groups, which was consistent with our previous reports. Conclusion: In conclusion, we found that given the same survival benefit, immunotherapy reduced opioid consumption in HPB cancers patients and improved the pain management. Moreover, immunotherapy results in fewer other adverse effects.

Overexpression of microRNA-96 is associated with poor prognosis and promotes proliferation, migration and invasion in cholangiocarcinoma cells via MTSS1.

MicroRNA-96 (miR-96) has been revealed serve an oncogenic role in various types of cancer. However, the role of miR-96 in cholangiocarcinoma (CCA) development and progression is yet to be elucidated. Thus, the aim of the present study was to investigate the role of miR-96 in CCA. The expression pattern of miR-96 in CCA tissues and cell lines was evaluated using reverse transcription-quantitative PCR analysis. Kaplan-Meier curves and Cox regression analyses were conducted to investigate the prognostic significance of miR-96 in CCA. Cell Counting Kit-8 and Transwell assays were performed to identify the functions of miR-96. The association between miR-96 and metastasis suppressor-1 (MTSS1) was verified using a dual-luciferase assay. The results demonstrated that miR-96 expression levels were increased in CCA tissues and cell lines compared with those in adjacent normal tissues and normal human intrahepatic biliary epithelial cell lines, respectively. High expression levels of miR-96 were significantly associated with lymph node metastasis, differentiation and TNM stage. In addition, upregulated expression of miR-96 was associated with a poorer prognosis and was predicted to be a prognostic factor in patients with CCA. Overexpression of miR-96 in vitro promoted CCA cell proliferation, migration and invasion. Additionally, MTSS1 was identified as a direct target of miR-96. The results of the present study indicated the clinical and biological importance of miR-96 as an oncogene in CCA. miR-96 may represent an independent prognostic biomarker and may promote CCA cell proliferation, migration and invasion by targeting MTSS1.

[Diagnosis of a case with Williams-Beuren syndrome by single nucleotide polymorphism array].

OBJECTIVE: To explore the genetic cause for a child with mental retardation, developmental delay and multi-systemic developmental disorders by analyzing the copy number variations (CNVs) and correlating the genotype with the phenotype. METHODS: Routine G-banding was performed to analyze the karyotype of the patient and her parents. In addition, single nucleotide polymorphisms array (SNP-array) was used to determine the CNVs, which was confirmed by fluorescence in situ hybridization (FISH). RESULTS: No karyotypic abnormality was detected upon chromosome analysis. However, SNP-array has identified a de novo hemizygous deletion of 1673 kb on chromosome region 7q11.23, which has been associated with Williams-Beuren syndrome. The microdeletion was confirmed by FISH testing. CONCLUSION: A child with Williams-Beuren syndrome has been diagnosed by SNP-array and FISH. The de novo 7q11.23 microdeletion probably underlies the clinical manifestation of the patient. Compared with routine karyotype analysis, SNP-array is more useful for diagnosing children with multiple congenital anomalies with unclear etiology.

[A contrastive study of corpus callosum area in very preterm and full-term infants].

OBJECTIVE: To compare the differences between full-term and VLBW premature infants at term equivalent for the whole and sub-regional corpus callosum areas in order to provide reference for monitoring the extrauterine development of corpus callosum in VLBW premature infants. METHODS: Brain MR image data of 24 term infants with a gestational age of 39 weeks were collected within 24 hours after birth. Brain MR image of 30 VLBW neonates at 39 weeks' gestational age equivalent were successfully obtained. Routine T1WI, T2WI and DWI were applied. T1-weighted images on the mid-sagittal slice were selected, analyzed and measured. Forty-nine eligible MR images of them were chosen, 21 cases from the full-term infant group and 28 cases from the premature infant group. Corpus callosum and brain MR images were then sketched by two radiographic doctors. All data were analyzed by the Image Processing Function of MATLAB R2010a, and the whole corpus callosum and six sub-regions were obtained. RESULTS: The whole corpus callosum, anterior mid-body, posterior mid-body, isthmus and splenium area in the premature infant group were smaller than those in the full-term infant group (P<0.05), but the differences of Genu and rostral body area between the two groups was not statistically significant (P>0.05). CONCLUSIONS: The areas of the whole corpus callosum, anterior mid-body, posterior mid-body, isthmus and splenium in VLBW preterm infants at term are reduced, suggesting that the posterior end of the corpus callosum is probably most vulnerable to insults following pathogenic factors.

Enzymatic degradation of Antheraea pernyi silk fibroin 3D scaffolds and fibers.

In this study, the in vitro enzymatic degradation behavior of the regenerated Antheraea pernyi silk fibroin (Ap-SF) three-dimensional (3D) scaffolds and the natural Ap-SF fibers exposed to enzyme solutions of α-chymotrypsin, collagenase IA and protease XIV were investigated. The results indicated that all three proteases could degrade the Ap-SF 3D scaffolds, and the degradation ability was in the order protease XIV>collagenase IA>α-chymotrypsin. The regenerated Ap-SF 3D scaffold could be degraded completely in 18 days when exposed to 1.0 U/ml protease XIV at 37°C, whereas under the same condition, the natural Ap-SF fiber only lost 5.6% of its weight, revealing its long-term degradation characteristics. There were abundant peptides and some free amino acids in the Ap-SF degradation products, but no free alanine. We suggested that the polyalanine block in the regenerated Ap-SF 3D scaffolds had strong resistance to enzyme attack. The proteolytic attack occurred in the non-polyalanine block of Ap-SF. The degradation rate of Ap-SF materials depended on the molecular conformation of Ap-SF, which could be controlled in the manufacturing process.

On indexing in the Web of Science and predicting journal impact factor.

We discuss what document types account for the calculation of the journal impact factor (JIF) as published in the Journal Citation Reports (JCR). Based on a brief review of articles discussing how to predict JIFs and taking data differences between the Web of Science (WoS) and the JCR into account, we make our own predictions. Using data by cited-reference searching for Thomson Scientific's WoS, we predict 2007 impact factors (IFs) for several journals, such as Nature, Science, Learned Publishing and some Library and Information Sciences journals. Based on our colleagues' experiences we expect our predictions to be lower bounds for the official journal impact factors. We explain why it is useful to derive one's own journal impact factor.