Title

Influence of PCOS in Obese vs. Non-Obese women from Mesenchymal Progenitors Stem Cells and Other Endometrial Cells: An in silico biomarker discovery

Authors

Ashvini Desai¹, Inamul Hasan Madar^2,#, Amjad Hussain Asangani³, Hussain Al Ssadh⁴, Iftikhar Aslam Tayubi^5,*

Affiliation

¹Department of Bioinformatics, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India;

²Department of Biotechnology & Genetic Engineering and Department of Biochemistry, Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India;

³Department of Biochemistry, Islamiah College, Vaniyambadi 635 752, Vellore Dist, Tamil Nadu India;

⁴School of Biological sciences, University of Essex, Colchester, CO43SQ, United Kingdom;

⁵Faculty of Computing and Information Technology, King Abdul-Aziz University, Rabigh-21911, Saudi Arabia.

Email

iftikhar.tayubi@gmail.com

Article Type

Hypothesis

Date

Received March 21, 2017; Revised April 12, 2017; Accepted April 12, 2017; Published April 30, 2017

Polycystic ovary syndrome (PCOS) is endocrine system disease which affect women ages 18 to 44 where the women’s hormones are imbalance. Recently it has been reported to occur in early age. Alteration of normal gene expression in PCOS has shown negative effects on long-term health issues. PCOS has been the responsible factor for the infertility in women of reproductive age group. Early diagnosis and treatment can improve the women’s health suffering from PCOS. Earlier Studies shows correlation of PCOS upon insulin resistance with significant outcome, Current study shows the linkage between PCOS with obesity and non-obese patients. Gene expression datasets has been downloaded from GEO (control and PCOS affected patients). Normalization of the datasets were performed using R based on RMA and differentially expressed gene (DEG) were selected on the basis of p-value 0.05 followed by functional annotation of selected gene using Enrich R and DAVID. The DEGs were significantly related to PCOS with obesity and other risk factors involved in disease. The Gene Enrichment Analysis suggests alteration of genes and associated pathway in case of obesity. Current study provides a productive groundwork for specific biomarkers identification for the accurate diagnosis and efficient target for the treatment of PCOS.

Keywords

Polycystic ovary syndrome (PCOS), Obesity, Differential expressed gene.

Citation

Desai et al. Bioinformation 13(4): 111-115 (2017)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.