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Review
. 2024 Jan 17;9(2):624-640.
doi: 10.1016/j.ncrna.2024.01.002. eCollection 2024 Jun.

Biomarker potential of competing endogenous RNA networks in Polycystic Ovary Syndrome (PCOS)

Roozbeh Heidarzadehpilehrood  1 , Maryam Pirhoushiaran  2
Affiliations
Review

Biomarker potential of competing endogenous RNA networks in Polycystic Ovary Syndrome (PCOS)

Roozbeh Heidarzadehpilehrood et al. Noncoding RNA Res. .

Abstract

Polycystic ovary syndrome (PCOS) is the most common condition affecting women of reproductive age globally. PCOS continues to be the largest contributing factor to female infertility despite significant progress in our knowledge of the molecular underpinnings and treatment of the condition. The fact that PCOS is a very diverse condition makes it one of the key reasons why we haven't been able to overcome it. Non-coding RNAs (ncRNAs) are implicated in the development of PCOS, according to growing evidence. However, it is unclear how the complex regulatory relationships between the many ncRNA types contribute to the growth of this malignancy. Competing endogenous RNA (ceRNA), a recently identified mechanism in the RNA world, suggests regulatory interactions between various RNAs, including long non-coding RNAs (lncRNAs), microRNAs (miRNAs), transcribed pseudogenes, and circular RNAs (circRNAs). Recent studies on PCOS have shown that dysregulation of multiple ceRNA networks (ceRNETs) between these ncRNAs plays crucial roles in developing the defining characteristics of PCOS development. And it is believed that such a finding may open a new door for a deeper comprehension of PCOS's unexplored facets. In addition, it may be able to provide fresh biomarkers and effective therapy targets for PCOS. This review will go over the body of information that exists about the primary roles of ceRNETs before highlighting the developing involvement of several newly found ceRNETs in a number of PCOS characteristics.

Keywords: Circular RNAs; Competing endogenous RNA (ceRNA); Long noncoding RNA; MicroRNAs; Polycystic ovary syndrome; Regulatory networks.

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Conflict of interest statement

The authors declare no potential conflicts of interest.

Figures

Image 1
Graphical abstract
Fig. 1
Fig. 1
Non-coding RNA Biogenesis and Regulatory Functions in ceRNETs. The figure provides an overview of the biogenesis and regulatory functions of ncRNAs within ceRNETs. A: CircRNAs, B: miRNAs, and C: lncRNAs are highlighted as key types of ncRNAs involved in gene regulation. These ncRNAs participate in the competitive binding mechanism with mRNAs, leading to regulatory interactions within ceRNETs. D: The figure illustrates the interplay between lncRNAs and circRNAs with miRNAs in competitive endogenous axes in the context of polycystic ovarian syndrome (PCOS). E: Different isoform with equally processed 3′ UTR isoform lengths. F: Different isoforms efficiently processed into short isoforms can have implications for microRNA (miRNA) targeting.
Fig. 2
Fig. 2
The alluvial plot ceRNA construction of competitive endogenous RNA networks in women with PCOS. The left column represents circRNAs, the center column represents miRNAs, and the right column represents mRNAs. Stream blocks between the columns represent correlation between axes.
Fig. 3
Fig. 3
The alluvial plot ceRNA construction of competitive endogenous RNA networks in women with PCOS. The left column represents lncRNAs, the center column represents miRNAs, and the right column represents mRNAs. Stream blocks between the columns represent correlation between axes.
Fig. 4
Fig. 4
The alluvial plot ceRNA construction of competitive endogenous RNA networks in rodent PCOS animal model. The left column represents lncRNAs, the center column represents miRNAs, and the right column represents mRNAs. Stream blocks between the columns represent correlation between axes.
See this image and copyright information in PMC

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