Literature DB >> 29601948

Microarray analysis of obese women with polycystic ovary syndrome for key gene screening, key pathway identification and drug prediction.

Lina Wei1, Chunlei Xin2, Wenjuan Wang3, Cuifang Hao4.   

Abstract

PURPOSE: This study aimed to screen key genes and pathways involved in obese polycystic ovary syndrome (PCOS), and predict drugs for treatment of obese PCOS via bioinformatics approaches.
METHODS: Microarray dataset GSE10946 were downloaded from the Gene Expression Omnibus database, including 7 cumulus cell samples from obese PCOS patients and 6 lean control samples. Differentially expressed genes (DEGs) between obese PCOS and controls were obtained using Bayesian test after data preprocessing, followed by functional enrichment analyses for DEGs. Besides, protein-protein interaction (PPI) network and sub-network analyses were performed. Furthermore, drug prediction was carried out based on the DEGs.
RESULTS: A total of 793 DEGs were identified in PCOS compared with control, including 352 up-regulated and 441 down-regulated DEGs. Specifically, upregulated RNA polymerase I subunit B (POLR1B), DNA polymerase epsilon 3, accessory subunit (POLE3), and DNA polymerase delta 3, accessory subunit (POLD3) were enriched in pathway of pyrimidine metabolism associated with obesity and PCOS, and 5-hydroxytryptamine receptor 2C (HTR2C) was enriched calcium signaling pathway. Additionally, 10 significant potential drugs, such as spironolactone targeting androgen receptor (AR), trimipramine targeting adrenoceptor beta 2 (ADRB2), and L-ornithine targeting ornithine decarboxylase antizyme 3 (OAZ3), were obtained.
CONCLUSIONS: In conclusion, POLR1B, POLE3, POLD3, and HTR2C might play important roles in obese PCOS via involvement of pyrimidine metabolism and calcium signaling pathway. Moreover, AR, ADRB2, and OAZ3 might be targets of spironolactone, trimipramine, and L-ornithine in the treatment of obese PCOS.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drug prediction; Key genes; Key pathways; Microarray analysis; Obesity polycystic ovary syndrome

Mesh:

Substances:

Year:  2018        PMID: 29601948     DOI: 10.1016/j.gene.2018.03.079

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

1.  A Systematic Review and Integrated Bioinformatic Analysis of Candidate Genes and Pathways in the Endometrium of Patients With Polycystic Ovary Syndrome During the Implantation Window.

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Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-01       Impact factor: 6.055

2.  The complex metabolic interactions of liver tissue and hepatic exosome in PCOS mice at young and middle age.

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Journal:  Front Physiol       Date:  2022-09-20       Impact factor: 4.755

3.  Long non-coding RNA ZFAS1 promotes colorectal cancer tumorigenesis and development through DDX21-POLR1B regulatory axis.

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Journal:  Aging (Albany NY)       Date:  2020-11-16       Impact factor: 5.682

  3 in total

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