Open Access


Read more
image01

Online Manuscript Submission


Read more
image01

Submitted Manuscript Trail


Read more
image01

Online Payment


Read more
image01

Online Subscription


Read more
image01

Email Alert



Read more
image01

Original Research Article | OPEN ACCESS

MicroRNA and gene signature of severe cutaneous drug hypersensitivity reactions reveal the role of miR-483-5p/miR-28-5p in inflammation by targeting Granulysin gene

Abdallah Ahmed Elbakkoush1, Anas Khaleel2, Chien-Tsai Liu1

1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan; 2Institute of Biological Chemistry, Academia Sinica, 128 Academia Road, Section 2, Nankang District, Taipei 11529, Taiwan.

For correspondence:-  Chien-Tsai Liu   Email: ctliu@tmu.edu.tw

Received: 17 January 2017        Accepted: 23 March 2017        Published: 29 April 2017

Citation: Elbakkoush AA, Khaleel A, Liu C. MicroRNA and gene signature of severe cutaneous drug hypersensitivity reactions reveal the role of miR-483-5p/miR-28-5p in inflammation by targeting Granulysin gene. Trop J Pharm Res 2017; 16(4):771-779 doi: 10.4314/tjpr.v16i4.5

© 2017 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To build a microRNA and gene signature of severe cutaneous adverse drug reactions (SCAR), including Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN).
Methods: MicroRNA expression profiles were downloaded from miRNA expression profile of patients’ skin suffering from TEN using an array comprising of 372 miRNAs; download site: www.jacionline.org. The patient samples were eight TEN, ten SJS patients and twenty-two healthy individuals. A total of 192 microRNAs were found with unique expression patterns (overexpressed) in contrast with healthy skin controls and patients. Thereafter, the following databases were used for downstream analysis: geneMANIA, DIANA-miRPath version 3, DIANA-TarBase version 7.0, Ingenuity Pathway Analysis (IPA) as well as DAVID, STRING and GENECODIS online tools.
Results: Granulysin (GNLY) geneMANIA database search yielded 21 interacting genes that were 64.6 % in physical interaction, 17 % in co-expression pattern. miRBD potential microRNAs that target the 21 genes were 79 miRs. Eighteen miRs overlap between the overexpressed miRs from SJS/TEN samples and the miRs targeting the 21 genes. Moreover, Ingenuity pathway analysis IPA revealed that the microRNAs were involved in inflammation.
Conclusion: Analysis of differential microRNA expressions reveals two significant DE miRs that target Granulysin (483-5p/miR-28-5p). MiR-GNLY loop interactions in hypersensitivity reactions may function as biomarkers for SCAR including SJS and TEN.

Keywords: Severe cutaneous adverse drug reactions (SCAR) Steven-Johnson Syndrome, Toxic epidermal necrolysis, Granulysin, Biomarkers, MicroRNA signature

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

Article Tools

Share this article with



Article status: Free
Fulltext in PDF
Similar articles in Google
Similar article in this Journal:

Archives

2024; 23: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10
2023; 22: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2022; 21: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2021; 20: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2020; 19: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2019; 18: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2018; 17: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2017; 16: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2016; 15: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2015; 14: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2014; 13: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12
2013; 12: 
1,   2,   3,   4,   5,   6
2012; 11: 
1,   2,   3,   4,   5,   6
2011; 10: 
1,   2,   3,   4,   5,   6
2010; 9: 
1,   2,   3,   4,   5,   6
2009; 8: 
1,   2,   3,   4,   5,   6
2008; 7: 
1,   2,   3,   4
2007; 6: 
1,   2,   3,   4
2006; 5: 
1,   2
2005; 4: 
1,   2
2004; 3: 
1
2003; 2: 
1,   2
2002; 1: 
1,   2

News Updates