Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways

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Karbalaei Reza; Allahyari Marzieh; REZAEI TAVIRANI MOSTAFA; ASADZADEH AGHDAEI HAMID; ZALI MOHAMMAD REZA

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Journal: Gastroenterology and Hepatology From Bed to Bench Year:2018 | Volume:11 | Issue:1 Page(s): 27-33

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Title

Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways

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Keywords

Alzheimer`s disease (AD)

Non-alcoholic fatty liver disease (NAFLD)

Protein-protein interaction (PPI) network analysis

Hub-bottlenecks

Protein clusters

Abstract

Aim: Analysis reconstruction networks from two diseases, NAFLD and Alzheimer`s diseases and their relationship based on systems biology methods. Background: NAFLD and Alzheimer`s diseases are two complex diseases, with progressive prevalence and high cost for countries. There are some reports on relation and same spreading pathways of these two diseases. In addition, they have some similar risk factors, exclusively lifestyle such as feeding, exercises and so on. Therefore, systems biology approach can help to discover their relationship. Methods: DisGeNET and STRING databases were sources of disease genes and constructing networks. Three plugins of Cytoscape software, including ClusterONE, ClueGO and CluePedia, were used to analyze and cluster networks and enrichment of pathways. An R package used to define best centrality method. Finally, based on degree and Betweenness, hubs and bottleneck nodes were defined. Results: Common genes between NAFLD and Alzheimer`s disease were 190 genes that used construct a network with STRING database. The resulting network contained 182 nodes and 2591 edges and comprises from four clusters. Enrichment of these clusters separately lead to carbohydrate metabolism, long chain fatty acid and regulation of JAK-STAT and IL-17 signaling pathways, respectively. Also seven genes selected as hub-bottleneck include: IL6, AKT1, TP53, TNF, JUN, VEGFA and PPARG. Enrichment of these proteins and their first neighbors in network by OMIM database lead to diabetes and obesity as ancestors of NAFLD and AD. Conclusion: Systems biology methods, specifically PPI networks, can be useful for analyzing complicated related diseases. Finding Hub and bottleneck proteins should be the goal of drug designing and introducing disease markers.

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APA: Copy

Karbalaei, Reza, Allahyari, Marzieh, REZAEI TAVIRANI, MOSTAFA, ASADZADEH AGHDAEI, HAMID, & ZALI, MOHAMMAD REZA. (2018). Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways. GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH, 11(1), 27-33. SID. https://sid.ir/paper/324751/en

Vancouver: Copy

Karbalaei Reza, Allahyari Marzieh, REZAEI TAVIRANI MOSTAFA, ASADZADEH AGHDAEI HAMID, ZALI MOHAMMAD REZA. Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways. GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH[Internet]. 2018;11(1):27-33. Available from: https://sid.ir/paper/324751/en

IEEE: Copy

Reza Karbalaei, Marzieh Allahyari, MOSTAFA REZAEI TAVIRANI, HAMID ASADZADEH AGHDAEI, and MOHAMMAD REZA ZALI, “Protein-protein interaction analysis of Alzheimer`s disease and NAFLD based on systems biology methods unhide common ancestor pathways,” GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH, vol. 11, no. 1, pp. 27–33, 2018, [Online]. Available: https://sid.ir/paper/324751/en

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