scholarly journals Network analysis indicating the pharmacological mechanism of Yunpi-Qufeng-Chushi-prescription in prophylactic treatment of rheumatoid arthritis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lin Li ◽  
Donghai Zhou ◽  
Qiuping Liu ◽  
Dianming Li ◽  
Qiao Wang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Protein Interactions ◽  
Prophylactic Treatment ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Pharmacological Mechanism ◽  
Ncbi Gene Expression Omnibus ◽  
Early Ra ◽  
Long Time ◽  
Main Component

Abstract Background Rheumatoid arthritis (RA), is an autoimmune inflammatory disease with increasing global morbidity and high disability. Early treatment is an effective intervention to slow down joint deformation. However, as for early RA and pre-RA patients, it sometimes takes a long time to make a definite diagnosis and few guidelines have made suggestion for these suspected or early phrase individuals. Yunpi-Qufeng-Chushi-Prescription (YQCP) is an optimization of the traditional formula, Cangzhu Fangfeng Tang which is effective for arthromyodynia management. Methods In this study, LC-MS identify the main component of YQCP. Ingredients of the 11 herbs were collected from Traditional Chinese Medicine Integrated Database (TCMID). Targets of these ingredients were collected from two source, TCMID and PharmMapper. Microarray of 20 early untreated RA patients and corresponding health control were download from NCBI Gene Expression Omnibus (GEO) database to defined the differential expressed genes. Gene ontology analysis and KEGG enrichment analysis were carried out for the YQCP. Protein-protein interactions (PPIs) networks were constructed to identify the hub targets. At last, molecular docking (MD) were conducted to further verified the the possibility of YQCP for RA therapy. Result The study indicated that by acting on hub targets such as C3, EGFR, SRC and MMP9, YQCP may influence the mature of B cells and inhibit B cell-related IgG production, regulate oxidative stress and modulate activity of several enzymes including peroxidase and metallopeptidase to delay the occurrence and progress of RA and benefit the pre-RA or early RA patients. Conclusion YQCP is a potential effective therapy for prophylactic treatment of RA.

scholarly journals Network Analysis Indicating the Pharmacological Mechanism of Yunpi-Qufeng- Chushi-Prescription in Prophylactic Treatment of Rheumatoid Arthritis

2021 ◽  
Author(s):  
Lin Li ◽  
Donghai Zhou ◽  
Qiuping Liu ◽  
Dianming Li ◽  
Qiao Wang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Protein Interactions ◽  
Prophylactic Treatment ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Pharmacological Mechanism ◽  
Ncbi Gene Expression Omnibus ◽  
Early Ra ◽  
Long Time ◽  
Main Component

Abstract Background: Rheumatoid arthritis (RA), is an autoimmune inflammatory disease with increasing global morbidity and high disability. Early treatment is an effective intervention to slow down joint deformation. However, as for early RA and pre-RA patients, it sometimes takes a long time to make a definite diagnosis and few guidelines have made suggestion for these suspected or early phrase individuals. Yunpi-Qufeng-Chushi-Prescription (YQCP) is an optimization of the traditional formula, Cangzhu Fangfeng Tang which is effective for arthromyodynia management. Methods: In this study, LC-MS identify the main component of YQCP. Ingredients of the 11 herbs were collected from Traditional Chinese Medicine Integrated Database (TCMID). Targets of these ingredients were collected from two source, TCMID and PharmMapper. Microarray of 20 early untreated RA patients and corresponding health control were download from NCBI Gene Expression Omnibus (GEO) database to defined the differential expressed genes.Gene ontology analysis and KEGG enrichment analysis were carried out for the YQCP. Protein-protein interactions (PPIs) networks were constructed to identify the hub 2 / 13 2 targets. At last, molecular docking (MD) were conducted to further verified the the possibility of YQCP for RA therapy.Result: The study indicated that by acting on hub targets such as C3, EGFR, SRC and MMP9, YQCP may influence the mature of B cells and inhibit B cell-related IgG production, regulate oxidative stress and modulate activity of several enzymes including peroxidase and metallopeptidase to delay the occurrence and progress of RA and benefit the pre-RA or early RA patients. Conclusion: YQCP is a potential effective therapy for prophylactic treatment of RA.

scholarly journals R Script Approach to Infer Toxoplasma Infection Mechanisms From Microarrays and Domain-Domain Protein Interactions

2017 ◽  
Vol 11 ◽  
pp. 117793221774725 ◽  
Author(s):  
Ailan F Arenas ◽  
Gladys E Salcedo ◽  
Jorge E Gomez-Marin
Keyword(s):  
Protein Interactions ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Host Protein ◽  
Differentially Expressed ◽  
Toxoplasma Infection ◽  
Protein Protein Interaction ◽  
Host Interaction ◽  
Human Genes ◽  
Domain Interactions

Pathogen-host protein-protein interaction systems examine the interactions between the protein repertoires of 2 distinct organisms. Some of these pathogen proteins interact with the host protein system and may manipulate it for their own advantages. In this work, we designed an R script by concatenating 2 functions called rowDM and rowCVmed to infer pathogen-host interaction using previously reported microarray data, including host gene enrichment analysis and the crossing of interspecific domain-domain interactions. We applied this script to the Toxoplasma-host system to describe pathogen survival mechanisms from human, mouse, and Toxoplasma Gene Expression Omnibus series. Our outcomes exhibited similar results with previously reported microarray analyses, but we found other important proteins that could contribute to toxoplasma pathogenesis. We observed that Toxoplasma ROP38 is the most differentially expressed protein among toxoplasma strains. Enrichment analysis and KEGG mapping indicated that the human retinal genes most affected by Toxoplasma infections are those related to antiapoptotic mechanisms. We suggest that proteins PIK3R1, PRKCA, PRKCG, PRKCB, HRAS, and c-JUN could be the possible substrates for differentially expressed Toxoplasma kinase ROP38. Likewise, we propose that Toxoplasma causes overexpression of apoptotic suppression human genes.

scholarly journals Longitudinal Analysis of Gene Expression Changes During Cervical Carcinogenesis Reveals Potential Therapeutic Targets

2020 ◽  
Vol 16 ◽  
pp. 117693432092057
Author(s):  
Lijun Yu ◽  
Meiyan Wei ◽  
Fengyan Li
Keyword(s):  
Gene Expression ◽  
Western Blotting ◽  
Protein Interactions ◽  
Target Genes ◽  
Quantitative Polymerase Chain Reaction ◽  
Enrichment Analysis ◽  
Gene Interaction ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Gene Expressions

Despite advances in the treatment of cervical cancer (CC), the prognosis of patients with CC remains to be improved. This study aimed to explore candidate gene targets for CC. CC datasets were downloaded from the Gene Expression Omnibus database. Genes with similar expression trends in varying steps of CC development were clustered using Short Time-series Expression Miner (STEM) software. Gene functions were then analyzed using the Gene Ontology (GO) database and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Protein interactions among genes of interest were predicted, followed by drug-target genes and prognosis-associated genes. The expressions of the predicted genes were determined using real-time quantitative polymerase chain reaction (RT-qPCR) and Western blotting. Red and green profiles with upward and downward gene expressions, respectively, were screened using STEM software. Genes with increased expression were significantly enriched in DNA replication, cell-cycle-related biological processes, and the p53 signaling pathway. Based on the predicted results of the Drug-Gene Interaction database, 17 drug-gene interaction pairs, including 3 red profile genes (TOP2A, RRM2, and POLA1) and 16 drugs, were obtained. The Cancer Genome Atlas data analysis showed that high POLA1 expression was significantly correlated with prolonged survival, indicating that POLA1 is protective against CC. RT-qPCR and Western blotting showed that the expressions of TOP2A, RRM2, and POLA1 gradually increased in the multistep process of CC. TOP2A, RRM2, and POLA1 may be targets for the treatment of CC. However, many studies are needed to validate our findings.

scholarly journals Construction of ceRNA Coexpression Network and Screening of Molecular Targets in Colorectal Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhao Hui ◽  
Wang Zhanwei ◽  
Yang Xi ◽  
Liu Jin ◽  
Zhuang Jing ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Protein Interactions ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Normal Tissues ◽  
Cerna Network ◽  
Cancer Tissues

Objective. To screen some RNAs that correlated with colorectal cancer (CRC). Methods. Differentially expressed miRNAs, lncRNAs, and mRNAs between cancer tissues and normal tissues in CRC were identified using data from the Gene Expression Omnibus (GEO) database. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interactions (PPIs) were performed to do the functional enrichment analysis. And a lncRNA-miRNA-mRNA network was constructed which correlated with CRC. RNAs in this network were subjected to analyze the relationship with the patient prognosis. Results. A total of 688, 241, and 103 differentially expressed genes (diff-mRNA), diff-lncRNA, and diff-miRNA were obtained between cancer tissues and normal tissues. A total of 315 edges were obtained in the ceRNA network. lncRNA RP11-108K3.2 and mRNA ONECUT2 correlated with prognosis. Conclusion. The identified RNAs and constructed ceRNA network could provide great sources for the researches of therapy of the CRC. And the lncRNA RP11-108K3.2 and mRNA ONECUT2 may serve as a novel prognostic predictor of CRC.

scholarly journals Bioinformatics Analysis to Identify Key Genes and Pathways Associated with Sex Differences in Rheumatoid Arthritis

2021 ◽  
Author(s):  
Siwei Su ◽  
Wenjun Jiang ◽  
Xiaoying Wang ◽  
Sen Du ◽  
Lu Zhou ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Kegg Pathways ◽  
Ppi Networks ◽  
Males And Females ◽  
Key Genes

Abstract ObjectiveThis study aims to explore the key genes and investigated the different signaling pathways of rheumatoid arthritis (RA) between males and females.Data and MethodsThe gene expression data of GSE55457, GSE55584, and GSE12021 were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using R software. Then, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis of DEGs were conducted via Database for Annotation, Visualization, and Integrated Discovery (DAVID). The protein-protein interaction (PPI) networks of DEGs were constructed by Cytoscape 3.6.0. ResultsA total of 416 upregulated DEGs and 336 downregulated DEGs were identified in males, and 744 upregulated DEGs and 309 downregulated DEGs were identified in females.IL6, MYC, EGFR, FOS and JUN were considered as hub genes in RA pathogenesis in males, while IL6, ALB, PTPRC, CXCL8 and CCR5 were considered as hub genes in RA pathogenesis in females. ConclusionIdentified DEG may be involved in the different mechanisms of RA disease progression between males and females, and they are treated as prognostic markers or therapeutic targets for males and females. The pathogenesis mechanism of RA is sex-dependent.

Identification of Potential Core Genes and Potential Drugs in Vestibular Schwannoma

2021 ◽  
Author(s):  
Junqiang Yan ◽  
Anran Liu ◽  
Jiarui Huang ◽  
Jiannan Wu ◽  
Hongxia Ma ◽  
...  
Keyword(s):  
Vestibular Schwannoma ◽  
Protein Interactions ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Pathway Enrichment Analysis ◽  
Data Sets ◽  
Protein Protein Interactions ◽  
Potential Core ◽  
Normal Tissues ◽  
Therapeutic Drugs

Abstract Vestibular schwannoma is a common intracranial benign tumor, but the current drug treatment effect is not obvious. Surgical treatment can usually lead to residual problems such as nerve damage. Therefore, there is no clear molecular target to facilitate better clinical treatment. We analyzed three microarray data sets (GSE39645, GSE54934 and GSE108524) derived from the Gene Expression Omnibus database (GEO). The GEO2R was used to screen for the differentially expressed genes (DEG) between vestibular schwannomas and normal tissues. The ontology function of genes and genome pathway enrichment analysis were performed using annotation, visualizative and comprehensive discovery databases to identify the pathways and functional annotation of DEGs. The protein-protein interactions of these DEGs were analyzed by searching the interaction gene database and visualized by Cytoscape software. The potential therapeutic drugs for vestibular schwannoma were searched by online gene drug interaction analysis.A total of 226 up-regulated and 148 down-regulated DEGs were identified. Among them, ten hub genes with high connectivity (EGFR, PPARG, CD86, CSF1R, SPP1, CDH2, CCND1, CAV1, CYBB and NCAM1) were selected as the central genes that may be closely related to the pathogenesis of vestibular schwannoma, which can be potential treatment targets of vestibular schwannoma. Afatinib and osimerinib may be potential therapeutic drugs.

Identification of Genes and Pathways Associated with Acne Using Integrated Bioinformatics Methods

Dermatology ◽  
2019 ◽  
Vol 235 (6) ◽  
pp. 445-455 ◽  
Author(s):  
Xianglan Li ◽  
Yuxi Jia ◽  
Shiyi Wang ◽  
Tianqi Meng ◽  
Mingji Zhu
Keyword(s):  
Expression Profiles ◽  
Killer Cell ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Cytokine Receptor ◽  
Gene Set Enrichment Analysis ◽  
Receptor Interaction ◽  
Ppi Network ◽  
Ncbi Gene Expression Omnibus ◽  
Chemokine Signaling

Background: Acne is the most common skin inflammatory condition. The pathogenesis of acne is not fully understood. Aims: We performed weighted gene co-expression network analysis (WGCNA) to select acne-associated genes and pathways. Methods: GSE53795 and GSE6475 datasets including data from lesional and nonlesional skin of acne patients were downloaded from the NCBI Gene Expression Omnibus. Differentially expressed genes (DEGs) in lesions were identified following a false discovery rate <0.05 and | log2 fold change | ≥0.5. DEG-associated biological processes and pathways were identified. WGCNA analysis was performed to identify acne-associated modules. DEGs in the acne-associated modules were used for protein-protein interaction (PPI) network construction and Gene Set Enrichment Analysis (GSEA). Acne-associated candidate DEGs and pathways were identified together with items in the Comparative Toxicogenomics Database (CTD). Results: A total of 2,140 and 1,190 DEGs were identified in GSE53795 and GSE6475 datasets, respectively, including 716 overlapping DEGs with similar expression profiles in the two datasets, which were clustered into 10 consensus modules. Two modules (brown and turquoise, 359 genes) were associated with acne phenotype. Of these 359 DEGs, 254 were enrolled in the PPI network. GSEA showed that these DEGs were associated with chemokine signaling pathway, cytokine-cytokine receptor interaction, and natural killer cell-mediated cytotoxicity. After identification in CTD, one pathway Cytokine-cytokine receptor interaction and 24 acne-associated DEGs, including IL1R1, CXCL1, CXCR4, CCR1, CXCL2 and IL1β, were identified as candidates associated with acne. Conclusion: Our results highlight the important roles of the proinflammatory cytokines including IL1β, CXCL1, CXCL2, CXCR4, and CCR1 in acne pathogenesis or therapeutic management.

scholarly journals Investigation of the underlying genes and mechanism of familial hypercholesterolemia through bioinformatics analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Dinghui Wang ◽  
Bin Liu ◽  
Tianhua Xiong ◽  
Wenlong Yu ◽  
Qiang She
Keyword(s):  
Familial Hypercholesterolemia ◽  
Signaling Pathway ◽  
Protein Interactions ◽  
Density Lipoprotein ◽  
Enrichment Analysis ◽  
Bioinformatic Analysis ◽  
Gene Expression Omnibus ◽  
Functional Changes ◽  
The Core ◽  
Core Genes

Abstract Background Familial hypercholesterolemia (FH) is one of the commonest inherited metabolic disorders. Abnormally high level of low-density lipoprotein cholesterol (LDL-C) in blood leads to premature atherosclerosis onset and a high risk of cardiovascular disease (CVD). However, the specific mechanisms of the progression process are still unclear. Our study aimed to investigate the potential differently expressed genes (DEGs) and mechanism of FH using various bioinformatic tools. Methods GSE13985 and GSE6054 were downloaded from the Gene Expression Omnibus (GEO) database for bioinformatic analysis in this study. First, limma package of R was used to identify DEGs between blood samples of patients with FH and those from healthy individuals. Then, the functional annotation of DEGs was carried out by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and Gene Ontology (GO) analysis. Based on Search Tool for the Retrieval of Interacting Genes (STRING) tool, we constructed the Protein-Protein Interactions (PPIs) network among DEGs and mined the core genes as well. Results A total of 102 communal DEGs (49 up-regulated and 53 down-regulated) are identified in FH samples compared with control samples. The functional changes of DEGs are mainly associated with the focal adhere and glucagon signaling pathway. Ten genes (ITGAL, TLN1, POLR2A, CD69, GZMA, VASP, HNRNPUL1, SF1, SRRM2, ITGAV) were identified as core genes. Bioinformatic analysis showed that the core genes are mainly enriched in numerous processes related to cell adhesion, integrin-mediated signaling pathway and cell-matrix adhesion. In the transcription factor (TF) target regulating network, 219 nodes were detected, including 214 DEGs and 5 TFs (SP1, EGR3, CREB, SEF1, HOX13). In conclusion, the DEGs and hub genes identified in this study may help us understand the potential etiology of the occurrence and development of AS. Conclusion Up-regulated ITGAL, TLN1, POLR2A, VASP, HNRNPUL1, SF1, SRRM2, and down-regulated CD69, GZMA and ITGAV performed important promotional effects for the formation of atherosclerotic plaques those suffering from FH. Moreover, SP1, EGR3, CREB, SEF1 and HOX13 were the potential transcription factors for DEGs and could serve as underlying targets for AS rupture prevention. These findings provide a theoretical basis for us to understand the potential etiology of the occurrence and development of AS in FH patients and we may be able to find potential diagnostic and therapeutic targets.

A Systems Biology Approach for miRNA-mRNA Expression Patterns Analysis in Rheumatoid Arthritis.

2020 ◽  
Vol 23 ◽  
Author(s):  
Fataneh Tavasolian ◽  
Ahmad Zavaran Hosseini ◽  
Sara Soudi ◽  
Mahmood Naderi ◽  
Amirhossein Sahebkar
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Vitamin D ◽  
Systems Biology ◽  
Vitamin D Receptor ◽  
Expression Patterns ◽  
Gene Expression Omnibus ◽  
Ncbi Gene Expression Omnibus ◽  
Comprehensive Knowledge ◽  
Microarray Datasets

Objective: Considering the molecular complexity and heterogeneity of rheumatoid arthritis (RA), the identification of novel molecular contributors involved in RA initiation and progression using systems biology approaches will open up potential therapeutic strategies. The bioinformatics method allows the detection of associated miRNA-mRNA as both therapeutic and prognostic targets for RA. Method: This research used a system biology approach based on a systematic re-analysis of the RA-related microarray datasets in the NCBI Gene Expression Omnibus (GEO) database to find out deregulated miRNAs. We then studied the deregulated miRNA-mRNA using Enrichr and MolecularSignatures Database (MSigDB) to identify novel RA-related markers followed by an overview of miRNA-mRNA interaction networks and RA-related pathways. Results: This research mainly focused on mRNA and miRNA interactions in all tissues and blood/serum associated with RA to obtain a comprehensive knowledge on RA. Recent systems biology approach analyzed seven independent studies and presented important RA-related deregulated miRNAs (miR-145-5p, miR-146a-5p, miR-155-5p, miR-15a-5p, miR-29c-3p, miR103a-3p, miR-125a-5p, miR-125b-5p, miR-218); upregulation of miR-125b is shown in the study (GSE71600). While the findings of the Enrichr showed cytokine and vitamin D receptor pathways and inflammatory pathways. Further analysis revealed a negative correlation between the vitamin D receptor (VDR) and miR-125b in RA-associated gene expression. Conclusion: Since vitamin D is capable of regulating the immune homeostasis and decreasing the autoimmune process through its receptor (VDR), it is regarded as a potential target for RA. According to the results obtained, a comparative correlation between negative expression of the vitamin D receptor (VDR) and miR-125b was suggested in RA. The increasing miR-125b expression would reduce the VitD uptake through its receptor.

scholarly journals Construction of ceRNA co-expression network and screening of molecular targets in colorectal cancer

2019 ◽  
Author(s):  
Hui Zhao ◽  
Zhanwei Wang ◽  
Xi Yang ◽  
Jin Liu ◽  
Jing Zhuang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Protein Interactions ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Protein Protein Interactions ◽  
Normal Tissues ◽  
Cerna Network ◽  
Using Data ◽  
Cancer Tissues

Abstract Objective to screen some RNAs that correlated with colorectal cancer (CRC).Methods Differentially expressed miRNAs, lncRNAs, and mRNAs between cancer tissues and normal tissues in CRC were identified using data from the Gene Expression Omnibus (GEO) database. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interactions (PPIs) were performed to do the functioal enrichment analysis. And a lncRNA-miRNA-mRNA network was constructed wich correlated with CRC. RNAs in this network were subjecte to analyze the relationship with the patient prognosis.Results A total of 688, 241, and 103 differentially expressed genes (diff-mRNA), diff-lncRNA, and diff-miRNA were obtained. between cancer tissues and normal tissues. A total of 315 edges were obtained in the ceRNA network. lncRNA RP11-108K3.2 and mRNA ONECUT2 correlated with prognosis.Conclusion The identified RNAs and constructed ceRNA network could provide great sources for the reasearches of therapy the CRC. And the lncRNA RP11-108K3.2 and mRNA ONECUT2 may serve novel prognostic predictor of CRC.

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