Signaling Pathway Enrichment Analysis Research Articles

Functional proteomic analysis reveals that fungal immunomodulatory protein reduced expressions of heat shock proteins correlates to apoptosis in lung cancer cells

BackgroundLing Zhi-8 (LZ-8) and GMI are two fungal immunomodulatory proteins (FIPs) with a similar structure and amino acid sequence and are respectively obtained from the medicinal mushroom Ganoderma lucidum and Ganoderma microsporum. They present the anti-cancer progression and metastasis. We previously demonstrated that LZ-8 reduces the tumor progression in lung cancer LLC1 cell-bearing mouse. However, it is unclear whether these FIPs induce changes in the protein expression profile in cancer cells and the mechanism for such a process is not defined. PurposeThis study determines the changes in the proteomic profile for tumor lesions of LLC1 cell-bearing mouse received with LZ-8 and the potential mechanism for FIPs in anti-lung cancer cells. MethodsThe proteomic profile of tumor lesions was determined using two-dimensional electrophoresis and a LTQ-OrbitrapXL mass spectrometer (LC-MS/MS). The biological processes and the signaling pathway enrichment analysis were performed using Ingenuity Pathway Analysis (IPA). The differentially expressed proteins were verified by Western blot. Cell viability was determined by MTT assay. Cell morphology was characterized using electron microscopy. Migration was detected using the Transwell assay. The apoptotic response was determined using Western blot and flow cytometry. ResultsObtained results showed that 21 proteins in the tumor lesions exhibited differential (2-fold change, p < 0.05) expression between PBS and LZ-8 treatment groups. LZ-8-induced changes in the proteomic profile that may relate to protein degradation pathways. Specifically, three heat shock proteins (HSPs), HSP60, 70 and 90, were significantly downregulated in tumor lesions of LLC1-bearing mouse received with LZ-8. Both LZ-8 and GMI reduced the protein levels for these HSPs in lung cancer cells. Functional studies showed that they inhibited cell migration but effectively induced apoptotic response in LLC1 cells in vitro. In addition, the inhibitors of HSP60 and HSP70 effectively inhibited cell migration and decreased cell viability of LLC1 cells. ConclusionsLZ-8 induced changes in the proteomic profile of tumor lesions which may regulate the HSPs-related cell viability. Moreover, inhibition of HSPs may be related to the anti-lung cancer activity.

Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacology

BackgroundChinese medicine Xuebijing (XBJ) has proven to be effective in the treatment of mild coronavirus disease 2019 (COVID-19) cases. But the bioactive compounds and potential mechanisms of XBJ for COVID-19 prevention and treatment are unclear. This study aimed to examine the potential effector mechanisms of XBJ on COVID-19 based on network pharmacology.MethodsWe searched Chinese and international papers to obtain the active ingredients of XBJ. Then, we compiled COVID-19 disease targets from the GeneCards gene database and via literature searches. Next, we used the SwissTargetPrediction database to predict XBJ’s effector targets and map them to the abovementioned COVID-19 disease targets in order to obtain potential therapeutic targets of XBJ. Cytoscape software version 3.7.0 was used to construct a “XBJ active-compound-potential-effector target” network and protein-protein interaction (PPI) network, and then to carry out network topology analysis of potential targets. We used the ClueGO and CluePedia plugins in Cytoscape to conduct gene ontology (GO) biological process (BP) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis of XBJ’s effector targets. We used AutoDock vina and PyMOL software for molecular docking.ResultsWe obtained 144 potential COVID-19 effector targets of XBJ. Fourteen of these targets-glyceraldehyde 3-phosphate dehydrogenase (GAPDH), albumin (ALB), tumor necrosis factor (TNF), epidermal growth factor receptor (EGFR), mitogen-activated protein kinase 1 (MAPK1), Caspase-3 (CASP3), signal transducer and activator of transcription 3 (STAT3), MAPK8, prostaglandin-endoperoxide synthase 2 (PTGS2), JUN, interleukin-2 (IL-2), estrogen receptor 1 (ESR1), and MAPK14 had degree values > 40 and therefore could be considered key targets. They participated in extracellular signal–regulated kinase 1 and 2 (ERK1, ERK2) cascade, the T-cell receptor signaling pathway, activation of MAPK activity, cellular response to lipopolysaccharide, and other inflammation- and immune-related BPs. XBJ exerted its therapeutic effects through the renin-angiotensin system (RAS), nuclear factor κ-light-chain-enhancer of activated B cells (NF-κB), MAPK, phosphatidylinositol-4, 5-bisphosphate 3-kinase (PI3K)-protein kinase B (Akt)-vascular endothelial growth factor (VEGF), toll-like receptor (TLR), TNF, and inflammatory-mediator regulation of transient receptor potential (TRP) signaling pathways to ultimately construct a “drug-ingredient-target-pathway” effector network. The molecular docking results showed that the core 18 effective ingredients had a docking score of less than − 4.0 with those top 10 targets.ConclusionThe active ingredients of XBJ regulated different genes, acted on different pathways, and synergistically produced anti-inflammatory and immune-regulatory effects, which fully demonstrated the synergistic effects of different components on multiple targets and pathways. Our study demonstrated that key ingredients and their targets have potential binding activity, the existing studies on the pharmacological mechanisms of XBJ in the treatment of sepsis and severe pneumonia, could explain the effector mechanism of XBJ in COVID-19 treatment, and those provided a preliminary examination of the potential effector mechanism in this disease.

Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis

Objective: To screen out and explore the core gene (Hub gene) involvement and the potential role of cyclin B2 (CCNB2) in the development and prognosis of hepatocellular carcinoma (HCC) through bioinformatics methods. Methods: Four HCC-related datasets were screened, and downloaded from the GEO database. GEO2R tool was used to analyze data and identify the differentially expressed genes (DEGs). Gene Ontology (GO) and KEGG signal pathway enrichment analysis were completed using DAVID database and Cytoscape (ClueGO) plug-in, respectively. Protein-protein interaction network (PPI) of DEGs was established using the STRING database. Cytoscape software was used to visualize PPI network, key modules (cluster) construction and core genes identification. UCSC and UALCAN database were used to analyze the differential expression and survival of TCGA hepatocellular carcinoma core genes. Firebrowse, Oncomine and UALCAN databases were used to analyze the expression of core genes in multiple tumors including HCC. Real-time quantitative reverse transcription PCR (RT-qPCR) was used to detect the expression levels of candidate genes in HCC tissues and liver cancer cell lines. Results: A total of 73 DEGs were identified from the four datasets, including 15 up-regulated genes and 58 down-regulated genes. KEGG pathway enrichment analysis signal showed that DEGs were mainly enriched in tumor-related pathways. PPI network based on DEGs had screened the key modules and 10 core genes. CCNB2 and NCAPG were highly expressed in liver cancer tissues in multiple databases. CCNB2 was positively correlated with NCAPG and was considered as a key gene related to prognosis (P < 0.01). RT-qPCR results showed that CCNB2 was highly expressed in human HCC tissues and cell lines (P < 0.01). Conclusion: Successfully screened DEGs and core genes related to HCC. Among them, CCNB2 is highly expressed in HCC and is related to the survival and prognosis of patients, so it is expected to become a biomarker for the diagnosis and prognosis of HCC.

CircFLT1 and lncCCPG1 Sponges miR-93 to Regulate the Proliferation and Differentiation of Adipocytes by Promoting lncSLC30A9 Expression

Although many circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs) have been discovered in adipocytes, their precise functions and molecular mechanisms remain poorly understood. Based on existing circRNA and lncRNA sequencing data of bovine adipocytes, we screened for the differential expression of circFLT1 and lncCCPG1 in preadipocytes and adipocytes and further analyzed their function and regulation during adipogenesis. The overexpression of circFLT1 and lncCCPG1 together facilitated adipocyte differentiation and suppressed proliferation. Computationally, the RNA hybrid showed that circFLT1 and lncCCPG1 had multiple potential binding sites with miR-93. Additionally, luciferase reporting experiments verified that circFLT1 and lncCCPG1 may interact with miR-93. We also demonstrated that overexpressed miR-93 effectively suppresses the expression of lncSLC30A9. Signaling pathway enrichment analysis, luciferase activity assay, and expression analysis revealed that lncSLC30A9 inhibits proliferation by inhibiting the expression of AKT protein and promotes differentiation by recruiting the FOS protein to the promoter of peroxisome proliferator-activated receptor gamma (PPARG). In sum, our results elucidate the regulatory mechanisms of circFLT1 and lncCCPG1 as miR-93 sponges in bovine adipocytes.

Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis.

In the current study, we aimed to identify potential biomarkers for salt sensitivity of blood pressure (SSBP), which may provide a novel insight into the pathogenic mechanisms of salt-sensitive hypertension. Firstly, we conducted weighted gene coexpression network analysis (WGCNA) and selected a gene module and 60 hub genes significantly correlated to SSBP. Then, GO function and KEGG signaling pathway enrichment analysis and protein–protein interaction (PPI) network analysis were performed. Furthermore, we identified a five-gene signature with high connectivity degree in the PPI network and high AUC of ROC curves, which may have high diagnosis value for SSBP. Moreover, through combining two gene screening methods, we identified 23 differentially expressed circRNAs and selected the top 5% circRNAs (1 circRNA) with the highest connectivity degree in the coexpression network as hub circRNA highly associated with SSBP. Finally, we carried out RT-qPCR to validate the expression of five hub genes, and our results showed that the expression of HECTD1 (P = 0.017), SRSF5 (P = 0.003), SRSF1 (P = 0.006), HERC2 (P = 0.004), and TNPO1 (P = 0.002) was significantly upregulated in the renal tissue in salt-sensitive rats compared to salt-resistant rats, indicating that these five hub genes can serve as potential biomarkers for SSBP.

Effect of alkylglycerone phosphate synthase on the expression levels of lncRNAs in glioma cells and its functional prediction.

Alkylglycerone phosphate synthase (AGPS) is a key enzyme for ether ester synthesis and acts as an oncogene in malignant tumors. The present study aimed to investigate the effect of AGPS silencing on the expression levels of long non-coding RNAs (lncRNAs) and the co-expression with mRNAs in glioma U251 cells using microarray analysis. Furthermore, the underlying biological functions of crucial lncRNAs identified were investigated. It was discovered that in vitro U251 cell proliferation was suppressed following the genetic silencing of AGPS. Differentially expressed lncRNAs and mRNAs in U251 cells were sequenced following AGPS silencing. The results from the Gene Ontology analysis identified that the co-expressed mRNAs were mainly involved in biological processes, such as ‘cellular response to hypoxia’, ‘extracellular matrix organization’ and ‘PERK-mediated unfolded protein response’. In addition, Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analysis revealed that the co-expressed mRNAs were the most enriched in the ‘AGE/RAGE signaling pathway in diabetic conditions’. Additionally, the PI3K/Akt and epidermal growth factor receptor signaling pathways serve important roles in tumor processes, for example carcinogenesis and angiogenesis. Furthermore, it was identified that the lncRNA AK093732 served a vital role in the regulatory network and the core pathway in this network regulated by this lncRNA was discovered to be the ‘Cytokine-cytokine receptor interaction’. In conclusion, the findings of the present study suggested that AGPS may affect cell proliferation and the degree of malignancy. In addition, the identified lncRNAs and their co-expressed mRNAs screened using microarrays may have significant biological effects in the occurrence, development and metastasis of glioma, and thus may be novel markers of glioma.

Identification of the aberrantly methylated differentially expressed genes in proliferative diabetic retinopathy

Diabetic retinopathy (DR) is the most common complication of diabetes. Proliferative DR (PDR) is a more advanced stage of DR, which can cause severe impaired vision and even blindness. However, the precise pathological mechanisms of PDR remain unknown. DNA methylation serves an important role in the initiation and progression of numerous types of disease including PDR. The purpose of this study was to identify the aberrantly methylated differentially expressed genes (DEGs) as potential therapeutic targets of PDR. The gene expression microarray dataset GSE60436 and the methylation profiling microarray dataset GSE57362 were used to determine the aberrantly methylated DEGs in PDR, utilizing normal retinas as controls and fibrovascular membranes (FVMs) in patients with PDR as PDR samples. The functional term and signaling pathway enrichment analysis of the selected genes were subsequently performed. In addition, protein-protein interaction (PPI) networks were constructed to determine the hub genes, and the network of transcriptional factor (TF) and target hub genes was also analyzed. In total, 132 hypomethylated genes were found to be upregulated, whereas 172 hypermethylated genes were discovered to be downregulated in PDR. The hypomethylated upregulated genes were found to be enriched in the pathways, such as “cell-substrate adhesion”, “adherens junction”, “cell adhesion molecule binding” and “extracellular matrix receptor interactions”. Meanwhile, the hypermethylated downregulated genes were enriched in the pathways, such as “visual perception”, “presynapse” and the “synaptic vesicle cycle”. Based on the PPI analysis, a total of eight hub genes were identified: CTGF, SERPINH1, LOX, RBP3, OTX2, RPE65, OPN1SW and NRL. It was hypothesized that the aberrant methylation of these genes might be related to the possible pathophysiology of PDR. An important transcriptional factor, TFDP1, was discovered to share the closest interactions with the hub genes from the gene-TF network. In conclusion, the present study identified an association among DNA methylation and gene expression in PDR using bioinformatics analysis, and identified the hub genes which might be potential methylation-based diagnosis and treatment targets for PDR in the near future.

Effects of dihydroartemisinin on the gut microbiome of mice.

Dihydroartemisinin (DHA) is a semisynthetic derivative of artemisinin, which has been found to exhibit a broad range of biological activities, excluding antimalarial effects; however its effects on the gut microbiota remain poorly understood. The present study aimed to investigate the effects of DHA on the gut microbiome in mice and to determine its potential biological and pharmaceutical activities through its alteration of the gut microbiota. Serum glucose, triglyceride (TG), total cholesterol, lipopolysaccharide, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, alanine aminotransferase and aspartate aminotransferase levels in mice treated with DHA were analyzed using the corresponding detection kits. In addition, hematoxylin and eosin staining was performed to determine the pathological effects of DHA on the liver, kidney and intestinal tissues of mice, and the effects of DHA on the gut microbiome were analyzed using 16S ribosomal (r)DNA gene analysis. The results demonstrated that the TG serum levels of mice treated with DHA were significantly decreased compared with the control group. Furthermore, 16S rDNA gene analysis demonstrated that the bacterial diversity of mice treated with DHA was enriched compared with the control group. The DHA group exhibited increased numbers of Firmicutes and Saccharibacteria, and decreased Deferribacteres and Actinobacteria compared with the control group at the phylum level. Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analysis also revealed that the signaling pathways associated with ‘Energy metabolism’ and ‘Nucleotide metabolism’ were upregulated, whereas the signaling pathways associated with ‘Infectious diseases and ‘Neurodegenerative diseases’ were downregulated in the DHA group compared with the control group. In conclusion, the findings of the present study indicated that DHA may significantly decrease the serum TG levels and alter the gut microbiota, which suggested its potential to be used for the treatment of hyperlipidemia, inflammatory and neurodegenerative disorders.

Functional analysis and signaling pathway enrichment analysis of genes associated with Alzheimer’s disease and Parkinson’s disease

We identified significant functions of susceptibility-genes and performed an analysis of pathway enrichment for Alzheimer’s disease, Parkinson’s disease and for both of them. Genes were extracted from a Catalog of Published Genome-Wide Association Studies (GWAS). We uploaded genes into Cytoscape version 3.2.1. ClueGO plugin was used for functional and pathway enrichment analysis of genes based on the hypergeometric test. Two databases, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and REACTOME, were selected for analysis. The identified susceptibility genes are involved in the synthesis regulation and accumulation of toxic proteins, β -amyloid and α -synuclein, and lead to apoptosis of neurons. We have defined 14 shared functions: collagen catabolic process, cellular response to retinoic acid, regulation of calcium-mediated signaling, negative regulation of cell projection organization, negative regulation of neuron projection development, glial cell activation, microglial cell activation, macrophage activation, regulation of cholesterol metabolism, clathrin-mediated endocytosis, regulation of protein oligomerization, regulation of dendritic spine development, kinesin binding and clathrin binding. Also, we have defined 3 shared signaling pathways: trans-Golgi Network Vesicle Budding, Clathrin derived vesicle budding, Intestinal immune network for IgA production. These pathways contain genes susceptible to Alzheimer’s disease and Parkinson’s disease. The results suggest the metabolic, neuronal and immunological factors participate in the development of Parkinson’s disease and Alzheimer’s disease.

Analysis of Lung Adenocarcinoma Subtypes Based on Immune Signatures Identifies Clinical Implications for Cancer Therapy

Lung cancer is the most common cause of cancer deaths worldwide, and lung adenocarcinoma (LUAD) is the most common histological subtype. However, the prognostic and predictive outcomes differ because of this cancer type heterogeneity. LUAD subtypes were identified on the basis of the immunogenomic profiling of 29 immune signatures. We named three LUAD subtypes: Immunity High, Immunity Medium, and Immunity Low. The Immunity High subtype was characterized by immune activation, e.g., increased immune scores, elevated stromal scores and the highest infiltration of CD8+ T cells, and decreased tumor purities. Activated expressions of human leukocyte antigen (HLA) genes, immune checkpoint molecules, and T helper 1 (Th1)/interferon-gamma (IFNγ) gene signature were also observed in the Immunity High subtype. N6-methyladenosine (m6A) RNA methylation, associated with cancer initiation and progression, was reduced in the Immunity High subtype. Functional and signaling pathway enrichment analysis further showed that differentially expressed genes between the Immunity High subtype and the other subtypes mainly participated in immune response and some cancer-associated pathways. In addition, the Immunity High subtype exhibited more sensitivity to immunotherapy and chemotherapy. Finally, candidate compounds that aimed at LUAD subtype differentiation were identified. Comprehensively characterizing the LUAD subtypes based on immune signatures may help to provide potential strategies for LUAD treatment.

Proteomics analysis of tumor exosomes reveals vital pathways of Jinfukang inhibiting circulating tumor cells metastasis in lung cancer

Ethnopharmacological relevanceJinfukang has long been used for the clinical treatment of lung cancer. Previous studies have shown that Jinfukang can induce the apoptosis of circulating tumor cells by intervening ROS-mediated DNA damage pathway. However, whether Jinfukang can inhibit the metastasis of circulating tumor cells and its mechanism are still unclear. Aim of the studyTo further investigate the mechanism of Jinfukang in anti-metastasis of lung cancer from the perspective of intervention of tumor exosomes. Materials and methodsThe invadopodia formation was determined with immunofluorescence. Invasion and migration were detected using the Transwell assay. Ultracentrifugation was used to isolate exosomes. Exosomes were characterized by electron microscopy, nanoparticle tracking analysis and immunoblotting, and the protein profile was evaluated by proteomic analysis. The molecular functions, biological processes and signaling pathway enrichment analysis were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Key differentially expressed proteins were verified by Western blot. ResultsJinfukang can inhibit the expression of MMP14, cortactin, Tks5 and the formation of invadopodia of CTC-TJH-01 cells. Furthermore, Jinfukang can significantly inhibit the invasion and migration of CTC-TJH-01 cells. The diameter of exosomes extracted from the CTC-TJH-01 cells treated by Jinfukang was 30–100 nm, and the exosomal markers CD63, CD81 and TSG101 were expressed. We identified 680 deferentially expressed proteins. Gene oncology analysis indicated that exosomes were mostly derived from plasma membrane and mainly involved in protein localization and intracellular signaling. The ingenuity pathway analysis showed that the EGF pathway was significantly inhibited, whereas the GP6 signaling pathway was significantly activated. We also confirmed that Jinfukang inhibited the expression of EGF pathway-related proteins in CTC-TJH-01 cells. Besides, when EGF was used to activate EGF signaling pathway, the inhibition of Jinfukang on CTC cell metastasis was reversed. ConclusionJinfukang inhibits the metastasis of CTC-TJH-01 cells through the EGF pathway.

Transcriptional regulatory networks of methanol-independent protein expression in Pichia pastoris under the AOX1 promoter with trans-acting elements engineering

To explore the differences in the intracellular transcriptional mechanism in carbon-derepressed and wild-type Pichia pastoris strains fed with three different carbon sources. RNA in carbon-derepressed (Δmig1Δmig2Δnrg1-Mit1; Mut) and wild-type (WT) P. pastoris fed with three different carbon sources (dextrose, glycerol, and methanol) were sequenced. Differentially expressed genes (DEGs) associated with these carbon sources were obtained and clustered into modules using weighted gene co-expression network analysis (WGCNA). Signaling pathway enrichment analysis was performed using KEGG, and protein to protein interaction (PPI) network was also constructed. A total of 2536 DEGs were obtained from three intersections, and some of them were enriched in carbon sources and involved in carbon metabolism, secondary metabolisms, and amino acid biosynthesis. Two modules, MEgreenyellow (involved in protease, oxidative phosphorylation, endoplasmic reticulum protein processing, folate carbon pool, and glycerol phospholipid metabolism pathways) and MEmidnightblue (involved in protease, endocytosis, steroid biosynthesis, and hippo signaling pathways) were significantly correlated with the strain type. Eight hub genes and two sub-networks were obtained from PPI network. Sub-network A enriched in proteasomes pathway while sub-network B enriched in ribosome pathway. The genes involved in carbon metabolism, secondary metabolic, and amino acid biosynthesis pathways changed significantly under different carbon sources. The changes in proteasome and ribosome activities play roles in carbohydrate metabolism in the methanol-free PAOX1 start-up Mut strain.

Study on mechanism of "Epimedii Folium-Paeoniae Radix Alba" in treatment of lumbar disc herniation based on network pharmacology

The aim of this paper was to investigate the key targets and mechanism of &quot;Epimedii Folium-Paeoniae Radix Alba&quot; in the treatment of lumbar disc herniation by means of network pharmacology. The currently recognized databases and analysis software at home and abroad were used to construct the network from drugs and diseases. The chemical components of Epimedii Folium and Paeo-niae Radix Alba were collected by using databases such as TCMSP, while their active components were determined and the action targets were predicted according to threshold screening and literature reports. The genes for lumbar disc herniation were collected by using GeneCards, OMIM, and DisGeNET databases. The drug targets were mapped to disease targets, and protein interaction network analysis for key targets, GO function enrichment analysis and KEGG signaling pathway enrichment analysis were performed. Finally, 23 active components of Epimedium Folium and 13 active components of Paeoniae Radix Alba were determined, and a total of 624 drug targets were obtained. After standardization, 214 drug targets were obtained. In addition, 306, 2 and 5 related targets of lumbar disc herniation were collected from GeneCards, OMIM, and DisGeNET database, respectively, and a total of 293 disease targets were obtained after deduplication. After the mapping of drug target and disease target, 44 common targets were obtained. PPI protein interaction network analysis showed that IL-6, TNF, AKT1, MAPK1, and VEGFA may be the core targets for the treatment of lumbar disc herniation. GO enrichment analysis identified 56 items(P&lt;0.05), among which biological processes mainly included immune response, apoptosis, etc.; cell components mainly included extracellular space, extracellular region, etc.; molecular functions mainly included cytokine activity, metallopeptidase activity and so on. Through KEGG pathway enrichment analysis, 91 signaling pathways related to inflammation, metabolism, and senescence were identified, mainly including IL-17 signaling pathway and TNF signaling pathway and so on. &quot;Epimedii Folium-Paeoniae Radix Alba&quot; showed the characteristics of multi-channel and multi-target for the treatment of lumbar disc herniation. This study preliminarily explored the key targets for its role and the biological processes and signaling pathways involved. It was found that it may play a therapeutic role by affecting inflammation and immune regulation, which laid the foundation for further experimental verification.

Network Pharmacology-Based Study on the Mechanism of Pinellia ternata in Asthma Treatment.

Background Pinellia ternata (PT), a medicinal plant, has had an extensive application in the treatment of asthma in China, whereas its underlying pharmacological mechanisms remain unclear. Methods Firstly, a network pharmacology method was adopted to collect activated components of PT from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Targets of PT were assessed by exploiting the PharmMapper website; asthma-related targets were collected from the OMIM website, and target-target interaction networks were built. Secondly, critical nodes exhibiting high possibility were identified as the hub nodes in the network, which were employed to conduct Gene Ontology (GO) comment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis. Finally, the tissue expression profiles of key candidate genes were identified by the Gene Expression Omnibus (GEO) database, and the therapeutic effect of PT was verified by an animal experiment. Results 57 achievable targets of PT on asthma were confirmed as hub nodes through using the network pharmacology method. As revealed from the KEGG enrichment analysis, the signaling pathways were notably enriched in pathways of the T-cell receptor signaling pathway, JAK-STAT signaling pathway, and cytokine-cytokine receptor interaction. The expression profiles of candidate genes including Mmp2, Nr3c1, il-10, il-4, il-13, il-17a, il-2, tlr4, tlr9, ccl2, csf2, and vefgα were identified. Moreover, according to transcriptome RNA sequencing data from lung tissues of allergic mice compared to normal mice, the mRNA level of Mmp2 and il-4 was upregulated (P < 0.001). In animal experiments, PT could alleviate the allergic response of mice by inhibiting the activation of T-helper type 2 (TH2) cells and the expression of Mmp2 and il-4. Conclusions Our study provides candidate genes that may be either used for future studies related to diagnosis/prognosis or as targets for asthma management. Besides, animal experiments showed that PT could treat asthma by regulating the expression of Mmp2 and il-4.

A Five-microRNA Signature as Prognostic Biomarker in Colorectal Cancer by Bioinformatics Analysis.

Mounting evidence has demonstrated that a lot of miRNAs are overexpressed or downregulated in colorectal cancer (CRC) tissues and play a crucial role in tumorigenesis, invasion, and migration. The aim of our study was to screen new biomarkers related to CRC prognosis by bioinformatics analysis. By using the R language edgeR package for the differential analysis and standardization of miRNA expression profiles from The Cancer Genome Atlas (TCGA), 502 differentially expressed miRNAs (343 up-regulated, 159 down-regulated) were screened based on the cut-off criteria of p < 0.05 and |log2FC|>1, then all the patients (421) with differentially expressed miRNAs and complete survival time, status were then randomly divided into train group (212) and the test group (209). Eight miRNAs with p < 0.005 were revealed in univariate cox regression analysis of train group, then stepwise multivariate cox regression was applied for constituting a five-miRNA (hsa-miR-5091, hsa-miR-10b-3p, hsa-miR-9-5p, hsa-miR-187-3p, hsa-miR-32-5p) signature prognostic biomarkers with obviously different overall survival. Test group and entire group shown the same results utilizing the same prescient miRNA signature. The area under curve (AUC) of receiver operating characteristic (ROC) curve for predicting 5 years survival in train group, test group, and whole cohort were 0.79, 0.679, and 0.744, respectively, which demonstrated better predictive power of prognostic model. Furthermore, Univariate cox regression and multivariate cox regression considering other clinical factors displayed that the five-miRNA signature could serve as an independent prognostic factor. In order to predict the potential biological functions of five-miRNA signature, target genes of these five miRNAs were analyzed by Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway and Gene Ontology (GO) enrichment analysis. The top 10 hub genes (ESR1, ADCY9, MEF2C, NRXN1, ADCY5, FGF2, KITLG, GATA1, GRIA1, KAT2B) of target genes in protein protein interaction (PPI) network were screened by string database and Cytoscape 3.6.1 (plug-in cytoHubba). In addition, 19 of target genes were associated with survival prognosis. Taken together, the current study showed the model of five-miRNA signature could efficiently function as a novel and independent prognosis biomarker and therapeutic target for CRC patients.

DNA methylation data-based molecular subtype classification related to the prognosis of patients with cervical cancer.

Cervical cancer is one of the leading female health-killers among all types of malignancies globally. Human papillomavirus infection combined with genetic and epigenetic alterations have been indicated to be closely associated with the pathogenesis, progression, and malignant transformation of cervical cancer. Notably, during the complex tumorigenesis process, a series of DNA methylations occurs early and is the most frequent molecular behavior. In this study, to exploit the specific DNA methylation sites influencing the prognosis of patients with cervical cancer, 275 samples were downloaded from The Cancer Genome Atlas database and further analyzed. As a result, 1253 CpGs were found to have a significant correlation with patient prognosis and were further selected for the consistent clustering of samples into six subgroups. Specifically, the samples in every subgroup were different regarding the following: race, age, tumor stage, receptor status, histological type, metastasis status, and patient prognosis. In addition, we calculated the levels of methylation sites in all subgroups, with 79 methylation sites (corresponding to 81 genes) screened as the intrasubgroup-specific methylation sites. Moreover, signaling pathway enrichment analysis was conducted on the genes of the corresponding promoter regions of the above-described specific methylation sites, revealing that these genes were enriched in biological pathways closely associated with tumors, such as the cyclic guanosine monophosphate-dependent protein kinase and focal adhesion signaling pathways. Finally, the least absolute shrinkage and selection operator algorithm was employed to establish a prognostic prediction model for cervical cancer patients, with training and test sets used for testing and validation, respectively. In summary, the specific DNA methylation site-based classification is able to reflect the heterogeneity of cervical cancer tissue, contributing to the development of personalized therapy and the accurate prediction of patient prognosis.

A Network Pharmacology Approach to Uncover the Molecular Mechanisms of Herbal Formula Kang-Bai-Ling for Treatment of Vitiligo.

Background Kang-bai-ling (KBL), a Chinese patent medicine, has been demonstrated as an effective therapy for vitiligo in China. However, the pharmacological mechanisms of KBL have not been completely elucidated. Methods In this study, the potential multicomponent, multitarget, and multipathway mechanism of KBL against vitiligo was clarified by using network pharmacology-based strategy. In brief, potential targets of KBL were collected based on TCMSP databases, followed by network establishment concerning the interactions of potential targets of KBL with well-known therapeutic targets of vitiligo by using protein-protein interaction (PPI) data. As a result, key nodes with higher level of seven topological parameters, including “degree centrality (DC),” “betweenness centrality (BC),” “closeness centrality (CC),” “eigenvector centrality (EC),” “network centrality (NC),” and “local average connectivity (LAC)” were identified as the main targets in the network, followed by subsequent incorporation into the ClueGO for GO and KEGG signaling pathway enrichment analysis. Results In accordance with the topological importance, a total of 23 potential targets of KBL on vitiligo were identified as main hubs. Additionally, enrichment analysis suggested that targets of KBL on vitiligo were mainly clustered into multiple biological processes (associated with DNA translation, lymphocyte differentiation and activation, steroid biosynthesis, autoimmune and systemic inflammatory reaction, neuron apoptosis, and vitamin deficiency) and related pathways (TNF, JAK-STAT, ILs, TLRs, prolactin, and NF-κB), indicating the underlying mechanisms of KBL on vitiligo. Conclusion In this work, we successfully illuminated the “multicompounds, multitargets” therapeutic action of KBL on vitiligo by using network pharmacology. Moreover, our present outcomes might shed light on the further clinical application of KBL on vitiligo treatment.

Transcriptome analysis of PK-15 cells in innate immune response to porcine deltacoronavirus infection.

Porcine deltacoronavirus (PDCoV) is a newly emerged swine enteropathogenic coronavirus affecting pigs of all ages and causing diarrhea problems. Research findings indicate that PDCoV has evolved strategies to escape innate immune response in host cells, but mechanism of PDCoV in innate immune modulation is not well understood. In this study, we report our findings on identifying the alterations of host cell innate immune response affected by PDCoV infection and exploring the gene expression profiles of PK-15 cells at 0, 24, and 36 h PDCoV post infection by RNA sequencing. A total of 3,762 and 560 differentially expressed genes (DEGs) were screened by comparison of uninfected PK-15 cells and infected PK-15 cells at 24 h post infection (hpi) (INF_24h versus NC), and also comparison of infected PK-15 cells between 24 and 36 hpi (INF_36h versus INF_24h), which included 156 and 23 porcine innate immune-related genes in the DEGs of INF_24h versus NC and INF_36h versus INF_24h, respectively. Gene Ontology function classification and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analysis were performed based on the DEGs that exhibited the same expression tendencies with most of the innate immune-associated genes among these PK-15 cell samples described above. The enrichment results indicated that extensive gene functions and signaling pathways including innate immune-associated functions and pathways were affected by PDCoV infection. Particularly, 4 of 5 innate immune signaling pathways, which were primarily affected by PDCoV, played important roles in I-IFN’s antiviral function in innate immune response. Additionally, 16 of the host cell endogenous miRNAs were predicted as potential contributors to the modulation of innate immune response affected by PDCoV. Our research findings indicated that the innate immune-associated genes and signaling pathways in PK-15 cells could be modified by the infection of PDCoV, which provides a fundamental foundation for further studies to better understand the mechanism of PDCoV infections, so as to effectively control and prevent PDCoV-induced swine diarrheal disease outbreaks.

11C-MET-PET/CT guided multi-target biopsy and transcriptome analysis demonstrated the cellular functional heterogeneity in DIPG

Objective To explore the cellular heterogeneity between 11C-methionine (11C-MET) high and low regions in the diffuse intrinsic pontine glioma (DIPG) using 11C-MET-PET/CT guided multiple-target biopsy and transcriptome analysis. Methods Six DIPG patients admitted to Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University from January 2017 to December 2017 were included in this prospective study. The 11C-MET-PET/CT image was imported into GE AW4.5 workstation software to measure the maximum methionine uptake value (SUVmax) of the tumor, and the tumor area was divided into methionine high uptake zone, middle uptake zone and low uptake zone. Biopsy was performed on the high and low intake areas of methionine. By sequencing the tissue samples, the differentially expressed genes and hotspot mutations in the high and low methionine regions of 6 patients were compared, and gene ontology (GO) analysis and signal pathway enrichment analysis were performed. Results The number of genes up-regulated in the methionine-high uptake area of tumor tissues in 6 patients was 296-1 768, and the expression was down-regulated from 558 to 1 476. The results of detection of common hotspot mutations in methionine high and low uptake areas of 6 patients were as follows: 1 BCOR mutation, 4 H3F3A mutations, 1 PIK3CA mutation, 5 TP53 mutations, and 1 PPM1D mutation (detected only in the 11C-MET low uptake region). GO and signal pathway enrichent analysis showed that compared with the low methionine uptake area of tumor tissue, the genes highly expressed in the high uptake area were mainly involved in tumor proliferation, invasion and neovascularization, while the low expressed genes were mainly involved in immune cell chemotaxis, immune response and biological processes such as the reaction to interferon. Conclusions The heterogeneity of cell function is exhibited in the tissues of DIPG. Compared with the lower uptake region of methionine, high uptake region has high expression of tumor malignant biological behavior-related genes and low expression of immunosuppressive and tumor resistance-related genes. 11C-MET-PET/CT could have diagnostic value in distinguishing the biological functions of tumor cells. Key words: Brain stem neoplasms; Genetic testing; Positron-emission tomography; 11C-methionine; Heterogeneity

Detection of preoperative chemoradiotherapy sensitivity molecular characteristics of rectal cancer by transcriptome second generation sequencing

To detect the preoperative chemoradiotherapy sensitivity molecular characteristics of rectal cancer by transcriptome second generation sequencing. The clinicopathological data of 30 patients with locally advanced rectal cancer were collected prospectively, including 9 indicators (general conditions, imaging data before radiotherapy and chemotherapy, pathological data of biopsy before radiotherapy and chemotherapy, and tumor differentiation degree, etc.), in order to analyze the correlation between them and tumor regression grading (TRG) after radiotherapy and chemotherapy for rectal cancer. At the same time, frozen specimens of colonoscopy biopsy before neoadjuvant therapy were collected from these 30 patients, and transcriptome second-generation sequencing was performed for bioinformatics analysis to screen out the genes that might drive the radio chemotherapy sensitivity of rectal cancer. Among the 30 patients with rectal cancer, 9 had complete pathological remission, 12 had partial remission, and 9 had poor remission. The degree of pathological TRG remission after radiotherapy and chemotherapy for rectal cancer was negatively correlated with the preoperative MRI T stage (P=0.046), and positively correlated with preoperative MRI rectal cancer extravascular invasion (EMVI) (P=0.003). Transcriptome second-generation sequencing of the obtained 217 transcripts (P<0.05) for signal pathway enrichment analysis, and multiple cell signal transduction pathways related to antigen presentation could be found. The high expression of HSPA1A, HSPA1B and EXOSC2 was positively correlated with postoperative pathological remission (P<0.05). The high expression of DNMBP, WASH8P, FAM57A, and SGSM2 was positively correlated with postoperative pathological remission (P<0.05). Preoperative NMR detection of extra-tumoral vascular invasion (EMVI-positive) in patients with rectal cancer was significantly better than that of EMVI-negative patients after chemoradiotherapy. Patients with high expressions of HSPA1A, HSPA1B and EXOSC2 had poor postoperative pathological remission, while patients with high expressions of genes, such as DMNMB, WASH8P, FAM57A, and SGSM2 had good postoperative pathological remission. Based on the molecular characteristics of rectal cancer radiotherapy and chemotherapy, attempts to block or enhance the molecular pathways associated with chemosensitivity of rectal cancer, are to be made to further explore new candidate therapeutic targets that can increase the sensitivity of radiotherapy and chemotherapy for rectal cancer.