A bioinformatics approach revealed the transcription factors of Helicobacter pylori pathogenic genes and their regulatory network nodes

BACKGROUND: Helicobacter pylori is a chronic pathogenic bacteria that causes gastric mucosal damage through various host-related and pathogen-related factors. Thus, a single gene research cannot fully explain its pathogenicity. PURPOSE OF STUDY: It is necessary to establish a Helicobacter pylori pathogenic gene transcription factor regulatory network (TFRN) and study its central nodes. RESULTS: The expression data of Helicobacter pylori pathogenic genes were obtained through GEO Datasets of NCBI. The genes were screened using linear model-empirical Bayesian statistics in R language Limma package combined with the conventional t-test; the results identified 1231 differentially expressed genes. The functional analysis (gene ontology-analysis) and signal pathway analysis (pathway-analysis) of differentially expressed genes were performed using the DAVID and KEGG databases, respectively. The pathogenic gene regulatory network was constructed by integrating transcriptional regulatory element database (TRED); the disease-related analysis of the pathogenic genes was conducted using the DAVID annotation tool. Five pathogenic genes (Nos2, Il5, Colla1, Tnf, and Nfkb1) and their transcription factors (Jun, Cebpa, Egrl, Ppara, and Il6) were found to suppress the host immune function and enhance the pathogenicity of Helicobacter pylori by regulating the host immune system. CONCLUSIONS: This effect was largely mediated via three signaling pathways: Tnf pathway, PI3K Akt pathway, and Jak­STAT pathway. The pathogenicity of Helicobacter pylori is closely related to the body's immune and inflammatory system. A better understanding of the correlation of the pathogenic factors with the host immune and inflammatory factors may help to determine the precise pathogenic mechanism of H. pylori infection.

Role of deacetylase sirtuins in sepsis: beneficial or harmful? / 中华危重病急救医学

Sepsis,life-threatening organ dysfunction caused by a dysregulated host response to infection,is a major public health concern.To date,the mechanism of sepsis is not completely understood,which is still a huge task ahead of numerous clinical and laboratory researchers.Recently,increasing evidences show that deacetylase sirtuins play an important role in sepsis and the function of sirtuins are varied in different stages of sepsis.More importantly,the mechanism of sirutins is not fully understood.The sirtuins family is composed by sirtuin 1-7 members.Among them,sirtuin 1 is widely reported.In addition to sirtuin 1,other members of sirtuins are also involved in the regulation of inflammation or metabolism signaling following sepsis.Of note,the sirtuins may interact with each other and form a precious control mechanism.Herein,we tried to summarize the recent paper from PubMed,to explain the possible mechanism of distinct role of sirtuin 1/2,to generalize the downstream effects of sirtuin 3 action,and to describe the interactions among sirtuins members on sepsis,which might be helpful for our future research and potential clinical applications.

MicroRNAs integrates pathogenic signaling to control endothelial-mesenchymal transition in pulmonary hypertension：results of a network bioinformatic approach / 中国药理学通报

Aim To explore micro RNAs-integrated pathogenic signaling to control endothelial-mesenchy-mal transition ( EndMT ) in pulmonary hypertension ( PH) by a network bioinformatic approach. Methods Literature-mining method was used to find PH-relat-ed genes and EndMT/EMT-related miRNAs. Bioinfor-matic prediction approach ( DIANA3 , Miranda4 , PicT-ar5 , TargetScan6 , miRDB7 and microT-CDS8 ) was used for miRNA target prediction. Hypergeometric a-nalysis was used to predict miRNAs related to EndMT in PH. The analysis of interactions between PH-rele-vant genes( PH network) was performed with the use of Biological General Repository for Interaction Datasets ( BioGRID ) . These miRNAs were ranked with the highest probability of substantial overlap among their gene targets in the PH-network, the relationship be-tween their targets and the PH functional categories which include hypoxia, inflammation, and transforming growth factor/BMP signaling. Then, the part of results was validated by animal experiment. Lastly the miR-NA-Target network was built using Cytocape 3 . Results List of 230 genes was compiled that were directly im-plicated in the development of PH and 189 miRNAs were related to EndMT in PH. Among 189 miRNAs, only 22 microRNAs(miR-let-7 family, miR-124, miR-130 family, miR-135, miR-144, miR-149, miR-155, miR-16-1, miR-17, miR-181 family, miR-182, miR-200 family, miR-204, miR-205, miR-21, miR-224, miR-27, miR-29 family, miR-301a, miR-31, miR-361 and miR-375) were related to hypoxia, inflamma-tion, and transforming growth factor/BMP signaling. Among these miRNAs, the levels of let-7g, miR-21, miR-124 and miR-130 family were significantly changed in the pulmonary artery in hypoxia-induced PH rats. Conclusions Among numerous miRNAs,22 of which may be involved in hypoxia, inflammation, and transforming growth factor/BMP signaling and re-lated to EndMT in PH by network bioinformatic ap-proach, which provides a theoretical basis for further investigation of EndMT in PH.