scholarly journals Candidate Genes Identified in Systemic Sclerosis-Related Pulmonary Arterial Hypertension Were Associated with Immunity, Inflammation, and Cytokines

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Zhixiao Xu ◽  
Jiaxing Ruan ◽  
Lingyun Pan ◽  
Chengshui Chen
Keyword(s):  
Gene Expression ◽  
Systemic Sclerosis ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Candidate Genes ◽  
Coexpression Network ◽  
Gene Coexpression Network ◽  
Hub Genes ◽  
Gene Coexpression ◽  
Pulmonary Arterial

Background. Pulmonary complications of systemic sclerosis (SSc), including pulmonary arterial hypertension (PAH), are the leading causes of patient death. However, the precise molecular mechanisms of its etiology are unclear. This study’s objective was to identify the candidate genes involved in the progression of SSc-PAH and investigate the genes' function. Methods. The gene expression profiles of GSE33463 were obtained from the Gene Expression Omnibus (GEO) database. A free-scale gene coexpression network was constructed using the weighted gene coexpression network analysis (WGCNA) to explore the association between gene sets and clinical features and identify candidate biomarkers. Then, gene ontology analysis was performed. A second dataset was used, GSE19617, to validate the hub genes. The verified hub genes’ potential function was further explored using gene set enrichment analysis (GSEA). Results. Through average link-level clustering, a total of seven modules were classified. A total of 938 hub genes were identified in the key module, and the key module’s function mainly enriched was related to chemokine activities. Subsequently, four candidate genes, BTG3, CCR2, RAB10, and TMEM60, were filtered. The expression levels of these four hub genes were consistent in the GSE19617 and GSE33463 datasets. We plotted the ROC curve of the hub genes (all AUC > 0.70 ). Furthermore, the results of the GSEA for hub genes were correlated with complement and inflammatory responses. Conclusions. The hub genes (BTG3, CCR2, RAB10, and TMEM60) performed well in distinguishing the SSc-PAH patients from controls, and some biological functions, related to immunity, inflammation, and cytokines, might pave the way for follow-up studies on the diagnosis and treatment of SSc-PAH.

scholarly journals Patients with systemic sclerosis-associated pulmonary arterial hypertension express a genomic signature distinct from patients with interstitial lung disease

2018 ◽  
Vol 3 (3) ◽  
pp. 242-248 ◽  
Author(s):  
Matthew Moll ◽  
Romy B Christmann ◽  
Yuqing Zhang ◽  
Michael L Whitfield ◽  
Yu Mei Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Systemic Sclerosis ◽  
Pulmonary Arterial Hypertension ◽  
Interstitial Lung Disease ◽  
Arterial Hypertension ◽  
Lung Disease ◽  
Expression Profiles ◽  
Area Under The Curve ◽  
Gene Expression Profiles ◽  
Pulmonary Arterial

Objective: Pulmonary arterial hypertension and interstitial lung disease are major causes of mortality in systemic sclerosis. We used a previously identified microarray biomarker to determine whether systemic sclerosis-pulmonary arterial hypertension and systemic sclerosis-interstitial lung disease patients demonstrate distinct gene expression profiles. Methods: Peripheral blood mononuclear cells were collected from healthy controls ( n = 10), systemic sclerosis patients without pulmonary hypertension (systemic sclerosis-no pulmonary arterial hypertension, n = 39), and systemic sclerosis-pulmonary arterial hypertension patients ( n = 21; mean pulmonary arterial pressure ≥25, pulmonary capillary wedge pressure ≤15, and pulmonary vascular resistance ≥3 Wood units) diagnosed by right heart catheterization. Systemic sclerosis-interstitial lung disease patients were defined as those with evidence of fibrosis on chest computed tomography and significant restriction (forced vital capacity <70% predicted, n = 11). Systemic sclerosis-pulmonary arterial hypertension biomarker included 69 genes selected by unbiased statistical screening of three publicly available microarray studies. RNA levels were measured by NanoString Technologies. Gene expression levels that were significantly correlated with pulmonary arterial hypertension (multiple statistical measures) were chosen as inputs into a forward selection logistic regression model. Results: When interstitial lung disease patients were included ( n = 64), four genes (S100P, CD8B1, CCL2, and TIMP1) and male sex predicted pulmonary arterial hypertension with a high level of accuracy (area under the curve = 0.83). Without interstitial lung disease patients ( n = 53), two genes (THBS1 and CD8B1) and male sex predicted pulmonary arterial hypertension with a high level of accuracy (area under the curve = 0.80). When examining systemic sclerosis patients with borderline elevated pulmonary pressures (mean pulmonary arterial pressure = 21–24 mmHg), gene expression changes closely resembled the systemic sclerosis-pulmonary arterial hypertension group, except for THBS1. Conclusion: Systemic sclerosis-pulmonary arterial hypertension and systemic sclerosis-interstitial lung disease have similar but distinct gene expression profiles. Many gene expression changes occur early in the disease course, potentially allowing early detection. THBS1 appears to be an important mediator in the development of pulmonary arterial hypertension-predominant phenotype. Further prospective investigation is warranted.

scholarly journals TGFβ receptor gene variants in systemic sclerosis-related pulmonary arterial hypertension: results from a multicentre EUSTAR study of European Caucasian patients

2012 ◽  
Vol 71 (11) ◽  
pp. 1900-1903 ◽  
Author(s):  
Eugénie Koumakis ◽  
Julien Wipff ◽  
Philippe Dieudé ◽  
Barbara Ruiz ◽  
Matthieu Bouaziz ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Candidate Genes ◽  
Transforming Growth Factor Beta ◽  
Transforming Growth Factor ◽  
Direct Sequencing ◽  
Receptor Gene ◽  
Tgfβ Receptor ◽  
Pulmonary Arterial

IntroductionSystemic sclerosis (SSc)-related pulmonary arterial hypertension (PAH) has emerged as a major mortality prognostic factor. Mutations of transforming growth factor beta (TGFβ) receptor genes strongly contribute to idiopathic and familial PAH.ObjectiveTo explore the genetic bases of SSc–PAH, we combined direct sequencing and genotyping of candidate genes encoding TGFβ receptor family members.Materials and methodsTGFβ receptor genes, BMPR2, ALK1, TGFR2 and ENG, were sequenced in 10 SSc–PAH patients, nine SSc and seven controls. In addition, 22 single-nucleotide polymorphisms (SNP) of these four candidate genes were tested for association in a first set of 824 French Caucasian SSc patients (including 54 SSc–PAH) and 939 controls. The replication set consisted of 1516 European SSc (including 219 SSc–PAH) and 3129 controls from the European League Against Rheumatism Scleroderma Trials and Research group network.ResultsNo mutation was identified by direct sequencing. However, two repertoried SNP, ENG rs35400405 and ALK1 rs2277382, were found in SSc–PAH patients only. The genotyping of 22 SNP including the latter showed that only rs2277382 was associated with SSc–PAH (p=0.0066, OR 2.13, 95% CI 1.24 to 3.65). Nevertheless, this was not replicated with the following result in combined analysis: p=0.123, OR 0.79, 95% CI 0.59 to 1.07.ConclusionsThis study demonstrates the lack of association between these TGFβ receptor gene polymorphisms and SSc–PAH using both sequencing and genotyping methods.

scholarly journals Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ming Yi ◽  
Tianye Li ◽  
Shuang Qin ◽  
Shengnan Yu ◽  
Qian Chu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Adenocarcinoma ◽  
Predictive Biomarkers ◽  
Coexpression Network ◽  
Mrna Levels ◽  
Gene Coexpression Network ◽  
Hub Genes ◽  
Gene Coexpression ◽  
Lung Adenocarcinomas ◽  
Coexpression Network Analysis

Lung adenocarcinoma is the most frequently diagnosed subtype of nonsmall cell lung cancer. The molecular mechanisms of the initiation and progression of lung adenocarcinoma remain to be further determined. This study aimed to screen genes related to the progression of lung adenocarcinoma. By weighted gene coexpression network analysis (WGCNA), we constructed a free-scale gene coexpression network to evaluate the correlations between multiple gene sets and patients’ clinical traits, then further identify predictive biomarkers. GSE11969 was obtained from the Gene Expression Omnibus (GEO) database which contained the gene expression data of 90 lung adenocarcinoma patients. Data of the Cancer Genome Atlas (TCGA) were employed as the validation cohort. After the average linkage hierarchical clustering, a total of 9 modules were generated. In the clinical significant module (R = 0.44, P<0.0001), we identified 29 network hub genes. Subsequent verification in the TCGA database showed that 11 hub genes (ANLN, CDCA5, FLJ21924, LMNB1, MAD2L1, RACGAP1, RFC4, SNRPD1, TOP2A, TTK, and ZWINT) were significantly associated with poor survival data of lung adenocarcinomas. Besides, the results of receiver operating characteristic curves indicated that the mRNA levels of this group of genes exhibited high specificity and sensitivity to distinguish malignant lesions from nonmalignant tissues. Apart from mRNA levels, we found that the protein abundances of these 11 genes were remarkably upregulated in lung adenocarcinomas compared with normal tissues. In conclusion, by the WGCNA method, a panel of 11 genes were identified as predictive biomarkers for tumorigenesis and poor prognosis of lung adenocarcinomas.

scholarly journals A Novel Multi-network Approach Reveals Tissue-specific Cellular Modulators of Fibrosis in Systemic Sclerosis, Pulmonary Fibrosis and Pulmonary Arterial Hypertension

2016 ◽  
Author(s):  
Jaclyn N Taroni ◽  
Casey S Greene ◽  
Viktor Martyanov ◽  
Tammara A Wood ◽  
Romy Christmann ◽  
...  
Keyword(s):  
Gene Expression ◽  
Systemic Sclerosis ◽  
Pulmonary Arterial Hypertension ◽  
Pulmonary Fibrosis ◽  
Arterial Hypertension ◽  
Gene Expression Signature ◽  
Alternative Activation ◽  
Tissue Specific ◽  
Expression Signature ◽  
Pulmonary Arterial

We have used integrative genomics to determine if a common molecular mechanism underlies different clinical manifestations in systemic sclerosis (SSc), and the related conditions pulmonary fibrosis (PF) and pulmonary arterial hypertension (PAH). We identified a common pathogenic gene expression signature - an immune-fibrotic axis-indicative of pro-fibrotic macrophages in multiple affected tissues (skin, lung, esophagus and PBMCs) of SSc, PF, and PAH. We used this disease-associated signature to query tissue-specific functional genomic networks. This allowed us to identify common and tissue-specific pathology of SSc and related conditions. We rigorously contrasted the lung- and skin-specific gene-gene interaction networks to identify a distinct lung resident macrophage signature associated with lipid stimulation and alternative activation. In keeping with our network results, we find distinct macrophages alternative activation transcriptional programs in SSc-PF lung and in the skin of patients with an "inflammatory" SSc gene expression signature. Our results suggest that the innate immune system is central to SSc disease processes, but that subtle distinctions exist between tissues. Our approach provides a framework for examining molecular signatures of disease in fibrosis and autoimmune diseases and for leveraging publicly available data to understand common and tissue-specific disease processes in complex human diseases.

scholarly journals Identification of Hub Genes and MicroRNAs Associated With Idiopathic Pulmonary Arterial Hypertension by Integrated Bioinformatics Analyses

2021 ◽  
Vol 12 ◽  
Author(s):  
Xue Qiu ◽  
Jinyan Lin ◽  
Bixiao Liang ◽  
Yanbing Chen ◽  
Guoqun Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Idiopathic Pulmonary Arterial Hypertension ◽  
Functional Enrichment ◽  
Hub Genes ◽  
Ppi Networks ◽  
Pulmonary Arterial

ObjectiveThe aim of this study is the identification of hub genes associated with idiopathic pulmonary arterial hypertension (IPAH).Materials and MethodsGSE15197 gene expression data was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by screening IPAH patients and controls. The 5,000 genes with the greatest variances were analyzed using a weighted gene co-expression network analysis (WGCNA). Modules with the strongest correlation with IPAH were chosen, followed by a functional enrichment analysis. Protein–protein interaction (PPI) networks were constructed to identify hub gene candidates using calculated degrees. Real hub genes were found from the overlap of DEGs and candidate hub genes. microRNAs (miRNAs) targeting real hub genes were found by screening miRNet 2.0. The most important IPAH miRNAs were identified.ResultsThere were 4,395 DEGs identified. WGCNA indicated that green and brown modules associated most strongly with IPAH. Functional enrichment analysis showed that green and brown module genes were mainly involved in protein digestion and absorption and proteoglycans in cancer, respectively. The top ten candidate hub genes in green and brown modules were identified, respectively. After overlapping with DEGs, 11 real hub genes were identified: EP300, MMP2, CDH2, CDK2, GNG10, ALB, SMC2, DHX15, CUL3, BTBD1, and LTN1. These genes were expressed with significant differences in IPAH versus controls, indicating a high diagnostic ability. The miRNA–gene network showed that hsa-mir-1-3p could associate with IPAH.ConclusionEP300, MMP2, CDH2, CDK2, GNG10, ALB, SMC2, DHX15, CUL3, BTBD1, and LTN1 may play essential roles in IPAH. Predicted miRNA hsa-mir-1-3p could regulate gene expression in IPAH. Such hub genes may contribute to the pathology and progression in IPAH, providing potential diagnostic and therapeutic opportunities for IPAH patients.

scholarly journals Identification of novel biomarkers involved in pulmonary arterial hypertension based on multiple-microarray analysis

2020 ◽  
Vol 40 (9) ◽  
Author(s):  
Yi Ma ◽  
Shu-Shu Chen ◽  
Yan-Yan Feng ◽  
Huan-Liang Wang
Keyword(s):  
Gene Expression ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Gene Set Enrichment Analysis ◽  
Control Group ◽  
Hub Genes ◽  
Gene Set ◽  
Pulmonary Arterial

Abstract Pulmonary arterial hypertension (PAH) is a life-threatening chronic cardiopulmonary disorder. However, studies providing PAH-related gene expression profiles are scarce. To identify hub genes involved in PAH, we investigate two microarray data sets from gene expression omnibus (GEO). A total of 150 differentially expressed genes (DEGs) were identified by limma package. Enriched Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs mostly included mitotic nuclear division, ATPase activity, and Herpes simplex virus one infection. Ten hub genes from three significant modules were ascertained by Cytoscape (CytoHubba). Gene set enrichment analysis (GSEA) plots showed that transcription elongation factor complex was the most significantly enriched gene set positively correlated with the PAH group. At the same time, solute proton symporter activity was the most significantly enriched gene set positively correlated with the control group. Correlation analysis between hub genes suggested that SMC4, TOP2A, SMC2, KIF11, KIF23, ANLN, ARHGAP11A, SMC3, SMC6 and RAD50 may involve in the pathogenesis of PAH. Then, the miRNA-target genes regulation network was performed to unveil the underlying complex association among them. Finally, RNA extracted from monocrotaline (MCT)-induced Rat-PAH model lung artery tissues were to conduct quantitative real-time PCR (qRT-PCR) to validate these hub genes. In conclusion, our study offers new evidence for the underlying molecular mechanisms of PAH as well as attractive targets for diagnosis and treatment of PAH.

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