Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks

  • Amin Ebadi Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
  • Navid Momenifar Human and Animal Cell Bank, Iranian Biological Resource Center (IBRC), ACECR, Tehran, Iran
  • Shaghayegh Yazdani Department of Microbiology, Faculty of Advanced Science & Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
  • Omid Gholizadeh Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  • Vahdat Poortahmasebi Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
Keywords: Human T-lymphotropic virus 1; Adult T-cell leukemia; Human T lymphotropic virus type 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis; Gene expression; DEGs; Gene ontology

Abstract

Background and Objectives: Human T-lymphotropic virus type 1 (HTLV-1) is the cause of adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). The present study aims to analyze gene expression patterns in ATL and HAM/TSP.

Materials and Methods: Microarray gene expression profiling of T-lymphocytes from HTLV-1 associated disease and healthy control were obtained from Gene Expression Omnibus (GEO). Several bioinformatics tools were used to identify dif- ferentially expressed genes (DEGs). Among the generated DEGs, we constructed protein-protein interaction (PPI) between HAM/TSM and ATL in comparison to asymptomatic carriers (ACs). Subsequently, gene ontology (GO) and topological analysis were performed.

Results: We found that the majority of DEGs in ATL and HAM/TSP were importantly implicated in immune response cat- egories. The nodes and edges number of normal-AC, AC-ATL and ATL-HAM/TSP PPIs were 168 and 145, 116 and 97, and 275 and 327, respectively. Based on the topological analyses of protein-protein interaction networks, APP (Amyloid Beta Precursor Protein) was detected as a critical player in progression of HTLV-1 disease.

Conclusion: Dysregulation of immune response associated transcripts play a critical role in HTLV-1 disease progression. Immune response associated genes may be biomarker for prognosis in cancer development and therapeutic targets.

Published
2022-02-23
Section
Articles