Skip to main navigation Skip to search Skip to main content

Assessment of the microbiome role in skin protection against UV irradiation via network analysis

  • Mohammad Hossein Heidari
  • , Mohammadreza Razzaghi
  • , Alireza Akbarzadeh Baghban
  • , Mohammad Rostami-Nejad
  • , Mostafa Rezaei-Tavirani
  • , Mona Zamanian Azodi*
  • , Alireza Zali
  • , Alireza Ahmadzadeh
  • *Corresponding author for this work
  • Shahid Beheshti University of Medical Sciences

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Introduction: Diverse microbiotas which have some contributions to gene expression reside in human skin. To identify the protective role of the skin microbiome against UV exposure, protein-protein interaction (PPI) network analysis is used to assessment gene expression alteration. Methods: A microarray dataset, GEO accession number GSE117359, was considered in this respect. Differential expressed genes (DEGs) in the germ-free (GF) and specific pathogen-free (SPF) groups are analyzed by GEO2R. The top significant DEGs were assigned for network analysis via Cytoscape 3.7.2 and its applications. Results: A total of 28 genes were identified as significant DEGs and the centrality analysis of the network indicated that only one of the seven hub-bottlenecks was from queried genes. The gene ontology analysis of Il6, Cxcl2, Cxcl1, TNF, Il10, Cxcl10, and Mmp9 showed that the crucial genes were highly enriched in the immune system. Conclusion: The skin microbiome plays a significant role in the protection of skin against UV irradiation and the role of TNF and IL6 is prominent in this regard.

Original languageEnglish
Pages (from-to)238-242
Number of pages5
JournalJournal of Lasers in Medical Sciences
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Jun 2020
Externally publishedYes

Keywords

  • Gene expression
  • Microbiome
  • Protein-protein interaction network
  • UV radiation

Fingerprint

Dive into the research topics of 'Assessment of the microbiome role in skin protection against UV irradiation via network analysis'. Together they form a unique fingerprint.

Cite this