IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p3114-d765380.html
   My bibliography  Save this article

Biochemical Characterization and Molecular Determination of Estrogen Receptor-α (ESR1 PvuII-rs2234693 T>C) and MiRNA-146a (rs2910164 C>G) Polymorphic Gene Variations and Their Association with the Risk of Polycystic Ovary Syndrome

Author

Listed:
  • Rashid Mir

    (Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia
    Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Faris J. Tayeb

    (Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Jameel Barnawi

    (Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia
    Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Mohammed M. Jalal

    (Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Nizar H. Saeedi

    (Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Abdullah Hamadi

    (Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Malik A. Altayar

    (Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Sanad E. Alshammari

    (Department of Pharmacology & Toxicology, Faculty of Pharmacy, University of Hail, Hail 55476, Saudi Arabia)

  • Nabil Mtiraoui

    (Laboratory of Human Genome and Multifactorial Diseases, Faculty of Pharmacy, University of Monastir, Monastir 5000, Tunisia)

  • Mohammed Eltigani Ali

    (King Salman Military Hospital, Tabuk 47512, Saudi Arabia)

  • Faisel M. Abu Duhier

    (Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia
    Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Mohammad Fahad Ullah

    (Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia
    Department of Medical Laboratory Technology, Faculty of Applied Medical Science, University of Tabuk, Tabuk 71491, Saudi Arabia)

Abstract

Polycystic ovary syndrome (PCOS) is regarded as one of the most frequently encountered endocrine disorders and affects millions of young women worldwide, resulting in an array of complex metabolic alterations and reproductive failure. PCOS is a risk factor for diabetes mellitus, obstructive sleep apnea, obesity and depression in patients. Estrogen receptors (ESRs) are significant candidates in endocrine function and ovarian response in women. Moreover, microRNAs and long non-coding RNAs are emerging as principal mediators of gene expression and epigenetic pathways in various disease states. This study has characterized the clinical parameters in PCOS patients with comprehensive biochemical profiling compared to healthy controls and further examined the influence of allelic variations for estrogen receptor-α (ESR1 PvuII-rs2234693 T>C) and miRNA-146a (rs2910164 C>G) gene polymorphism on the risk of and susceptibility to PCOS. In this case-control study, we have used amplification refractory mutation specific (ARMS)-PCR to detect and determine the presence of these polymorphic variants in the study subjects. Our results demonstrated that most of the biochemical markers, which were analyzed in the study, show statistically significant alterations in PCOS patients, including fasting glucose, free insulin, HOMA-IR, LDL, HDL, cholesterol and hormones such as FSH, LH, testosterone and progesterone, which correlate with the established biochemical alterations in the disorder. Further, it is reported that for estrogen receptor-α (ESR1 PvuII-rs2234693 T>C), the frequency of the T allele (fT) was significantly higher among patients (0.64 vs. 0.44) compared to controls, while the frequency of the C allele (fC) was lower in patients (0.36 vs. 0.56) compared to controls. However, it was found that there was no association of an increased risk of PCOS with the ESR1 PvuII-rs2234693 C>T gene polymorphism. On the contrary, the study found strong association of miRNA-146a (rs2910164 C>G) gene polymorphism with an enhanced risk of PCOS. The frequency of the C allele (fC) was significantly higher among patients (0.52 vs. 0.36) compared to controls. The frequency of the G allele (fG) was found to be lower in patients (0.48 vs. 0.64) compared to controls. The codominant, dominant and recessive models display a statistically significant association of polymorphic variations with PCOS. Moreover, the G allele was associated strongly with PCOS susceptibility with an OR = 1.92 (95%) CI = (1.300–2.859), RR = 1.38 (1.130–1.691) p -value < 0.001.

Suggested Citation

  • Rashid Mir & Faris J. Tayeb & Jameel Barnawi & Mohammed M. Jalal & Nizar H. Saeedi & Abdullah Hamadi & Malik A. Altayar & Sanad E. Alshammari & Nabil Mtiraoui & Mohammed Eltigani Ali & Faisel M. Abu D, 2022. "Biochemical Characterization and Molecular Determination of Estrogen Receptor-α (ESR1 PvuII-rs2234693 T>C) and MiRNA-146a (rs2910164 C>G) Polymorphic Gene Variations and Their Association with the Ris," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3114-:d:765380
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/3114/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/3114/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kiran Musunuru & Alanna Strong & Maria Frank-Kamenetsky & Noemi E. Lee & Tim Ahfeldt & Katherine V. Sachs & Xiaoyu Li & Hui Li & Nicolas Kuperwasser & Vera M. Ruda & James P. Pirruccello & Brian Muchm, 2010. "From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus," Nature, Nature, vol. 466(7307), pages 714-719, August.
    2. Nicholas Hatzirodos & Katja Hummitzsch & Helen F Irving-Rodgers & Raymond J Rodgers, 2014. "Transcriptome Profiling of the Theca Interna in Transition from Small to Large Antral Ovarian Follicles," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-10, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicholas Hatzirodos & Claire Glister & Katja Hummitzsch & Helen F Irving-Rodgers & Philip G Knight & Raymond J Rodgers, 2017. "Transcriptomal profiling of bovine ovarian granulosa and theca interna cells in primary culture in comparison with their in vivo counterparts," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.
    2. Mike Thompson & Mary Grace Gordon & Andrew Lu & Anchit Tandon & Eran Halperin & Alexander Gusev & Chun Jimmie Ye & Brunilda Balliu & Noah Zaitlen, 2022. "Multi-context genetic modeling of transcriptional regulation resolves novel disease loci," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3114-:d:765380. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.