The Analyzing miR-106b-5p and miR-93-5p as Promising Diagnostic Markers for Autism Spectrum Disorder

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Authors

  • Ayesha Safdar Genetic and Molecular Epidemiology Research Group, Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Kahuta Road, Islamabad, Pakistan
  • Sobia Khurshid Genetic and Molecular Epidemiology Research Group, Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Kahuta Road, Islamabad, Pakistan
  • Umme Farwa Genetic and Molecular Epidemiology Research Group, Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Kahuta Road, Islamabad, Pakistan
  • Syeda Marriam Bakhtiar Genetic and Molecular Epidemiology Research Group, Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Kahuta Road, Islamabad, Pakistan

DOI:

https://doi.org/10.32350/cto.12.02

Keywords:

autism spectrum disorder (ASD),, biomarker,, in-silico techniques,, microRNAs (miRNAs)

Abstract

Autism spectrum disorder (ASD) is a complex group of neurodevelopmental disorders encompassing perturbations in verbal and non-verbal communication, social skills, as well as repetitive and restricted behaviour, activity, or response. The pathogenesis of the disorder is still unknown, yet several studies have documented the involvement of both genetic and environmental factors in its onset. Intense efforts have been made to identify reliable biomarkers to aid in early diagnosis. MicroRNAs (miRNAs) are the regulatory noncoding regions of ribonucleic acid (RNA) that can alter the expression of a gene through posttranscriptional mechanisms. In this study, an in-silico technique was used to identify two novel biomarkers, namely miR-106b-5p and miR-93-5p. The analysis identified that these diagnostic biomarkers are associated with ASD and can aid in its early treatment since miRNAs play a significant role in the development and function of the central nervous system (CNS).

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Published

2021-12-20

How to Cite

Safdar, A. ., Khurshid, S., Farwa, U. ., & Bakhtiar, S. M. (2021). The Analyzing miR-106b-5p and miR-93-5p as Promising Diagnostic Markers for Autism Spectrum Disorder: NA. Current Trends in OMICS, 1(2), 36–44. https://doi.org/10.32350/cto.12.02

Issue

Vol. 1 No. 2: Fall 2021

Section

Articles

License

Author(s) retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.