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Protein-protein interaction network analysis of cirrhosis liver disease

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TLDR
The result indicates that regulation of lipid metabolism and cell survival are important biological processes involved in cirrhosis disease.
Abstract
Aim: Evaluation of biological characteristics of 13 identified proteins of patients with cirrhotic liver disease is the main aim of this research. Background: In clinical usage, liver biopsy remains the gold standard for diagnosis of hepatic fibrosis. Evaluation and confirmation of liver fibrosis stages and severity of chronic diseases require a precise and noninvasive biomarkers. Since the early detection of cirrhosis is a clinical problem, achieving a sensitive, specific and predictive novel method based on biomarkers is an important task. Methods: Essential analysis, such as gene ontology (GO) enrichment and protein-protein interactions (PPI) was undergone EXPASy, STRING Database and DAVID Bioinformatics Resources query. Results: Based on GO analysis, most of proteins are located in the endoplasmic reticulum lumen, intracellular organelle lumen, membrane-enclosed lumen, and extracellular region. The relevant molecular functions are actin binding, metal ion binding, cation binding and ion binding. Cell adhesion, biological adhesion, cellular amino acid derivative, metabolic process and homeostatic process are the related processes. Protein-protein interaction network analysis introduced five proteins (fibroblast growth factor receptor 4, tropomyosin 4, tropomyosin 2 (beta), lectin, Lectin galactoside-binding soluble 3 binding protein and apolipoprotein A-I) as hub and bottleneck proteins. Conclusion: Our result indicates that regulation of lipid metabolism and cell survival are important biological processes involved in cirrhosis disease. More investigation of above mentioned proteins will provide a better understanding of cirrhosis disease.

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Metabolomic analysis of human cirrhosis, hepatocellular carcinoma, non-alcoholic fatty liver disease and non-alcoholic steatohepatitis diseases.

TL;DR: In this review, it has been collected a heterogeneous set of metabolomics published studies to discovery of biomarkers in researches to introduce diagnostic biomarkers for early detection and the choice of patient-specific therapies.
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Protein-protein interaction network of celiac disease.

TL;DR: Chaperons have a bold presentation in curtail area in network therefore these key proteins beside the other hub-bottlneck proteins may be a suitable candidates biomarker panel for diagnosis, prognosis and treatment processes in celiac disease.
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Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways.

TL;DR: Systems biology methods, specifically PPI networks, can be useful for analyzing complicated related diseases and finding Hub and bottleneck proteins should be the goal of drug designing and introducing disease markers.
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In vitro inhibition of hepatic stellate cell activation by the autophagy-related lipid droplet protein ATG2A.

TL;DR: Lipid-droplet protein profile changes during the reversion of activated stellate cells might provide new insights into the molecular mechanisms linking lipid droplets to liver fibrosis, and ATG2A could represent a potential new drug target for hepatic fibrosis.
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Protein-Protein Interaction Network Analysis for a Biomarker Panel Related to Human Esophageal Adenocarcinoma

TL;DR: The findings indicate nine crucial proteins could form a candidate biomarker panel for EAC, and main related terms to closely correspond with those for colorectal cancer.
References
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Journal ArticleDOI

Role of systemic inflammation in cirrhosis: From pathogenesis to prognosis

TL;DR: Leukocyte counts and plasma levels of procalcitonin or C-reactive protein have been proposed as prognostic markers and research and prospective randomized studies that validate these and other markers are clearly warranted are clearly needed.
Journal ArticleDOI

An introduction to effective use of enrichment analysis software.

TL;DR: Three classes of enrichment algorithms and their associated software implementations are introduced here and their limitations and caveats are discussed, and direction for tool selection is given.
Journal ArticleDOI

PPARs in Liver Diseases and Cancer: Epigenetic Regulation by MicroRNAs

TL;DR: Interestingly, microRNAs are emerging as new important regulators of PPAR expression and activity in pathophysiological conditions and therefore may represent future therapeutic targets to treat hepatic metabolic disorders and cancers.
Journal ArticleDOI

Genomics and proteomics in liver fibrosis and cirrhosis.

TL;DR: Great opportunities and challenges lie ahead in the field of genomics and proteomics, which, if successful, could transform the diagnosis and treatment of chronic fibrosing liver diseases.
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