The role of ncRNAs in PCOS-associated ovarian steroidogenesis.
Abstract
Polycystic ovary syndrome (PCOS) is the most common endocrine heterogeneous reproductive disorder. This metabolic disease affects around 5–10% of women and accounts for 75% of anovulatory infertility all over the world. The complexity of the disease as manifested by the involvement of multiple underlying mechanisms and the lack of specific and sensitive biomarkers, make it difficult to timely manage and treat the disease. Remarkably, genetic, epigenetics, and environmental variations may contribute considerably to the pathogenicity of PCOS. Recent investigations indicated that non-coding RNAs (ncRNA) were involved in the occurrence and development of PCOS. Thus, this chapter aimed to summarize the current knowledge around the expression and dysregulation of ncRNA in human PCOS.
Keywords
- polycystic ovarian syndrome (PCOS)
- infertility
- non-coding RNA (ncRNA)
- micro RNAs (miRNAs)
- Long non-coding RNAs (lncRNAs)
1. Introduction
PCOS is the most common endocrine heterogeneous reproductive disorder. This metabolic disease affects around 5–10% of women and accounts for 75% of anovulatory infertility all over the world [1]. The fundamental features of this condition are oligo- or anovulation, hyperandrogenism, and polycystic ovaries. Women with PCOS may also develop other disorders, including type II diabetes, obesity, dyslipidemia, endometrial cancer, and insulin resistance (IR), in addition to being at risk of cardiovascular diseases [2]. Considering the complexity and diversity of this disorder, a deeper thinking and wider study of its etiology is certainly needed. In clinical settings, diagnosis is mainly based on the presentation of no less than two out of the three Rotterdam agreed main symptoms. These include polycystic ovaries, irregular periods, and high androgens. Therefore, the expert diagnostic opinion is now based on pelvic ultrasound examination and hormonal blood tests. This can emphasize the growing need for a specific and sensitive biomarker for the diagnosis of this condition [3].
Over the past two decades, a striking finding has indicated the presence of large amounts of non-protein-coding sequences in the genome of complex organisms [4, 5]. These previously named ‘transcriptional noise” sequences have now been shown to play multiple crucial biological roles and are referred to as non-coding RNAs (ncRNA). The involvement of those ncRNAs in the occurrence and development of PCOS has recently been indicated. A differential significant expression of ncRNAs has been found in the granulosa cells (GCs), follicular fluid (FF), Theca cells (TCs), serum, and plasma of patients with PCOS when compared to non-PCOS women [6, 7]. Therefore, this chapter aimed to provide an updated narrative review summarizing the current knowledge around the presence and dysregulated expression of ncRNAs. The chapter will review two main ncRNA regulators (microRNA (miRNAs), and long ncRNAs (lncRNAs)) and frame the discussion in the context of linking ncRNAs to the pathogenicity of PCOS as well as the possibility of using them as a biomarker to resolve the puzzle of PCOS.
1.1 Overview of ncRNAs
A significant amount of the human genome encodes functional transcripts that are destined for translation into proteins. Only recently, new classes of ncRNAs have been identified and were classified by length into small ncRNAs (sncRNAs) transcripts of small RNA sequences of <200 nucleotides and transcripts >200 nucleotides that lack any defined open frames and called lncRNA [5, 8, 9]. sncRNAs are further classified into miRNAs, small interfering RNA (siRNA), piwi-interacting RNA (piRNA), and transfer RNA (tRNA), small nuclear RNA (snRNA) [8]. Advanced sequencing technology led to the discovery of some of the underlying molecular mechanisms linking those ncRNAs with PCOS. It highlighted some precise and feasible biomarkers, of which miRNA and lncRNA have been the most well-characterized as functional ncRNAs in PCOS [5, 9, 10].
1.1.1 miRNAs and lncRNAs
ncRNAs are key regulators of gene expression and chromatin structures. They have particularly been shown to be relevant since the early stages of germline development.
miRNAs are small single-strand RNAs (22–23 nucleotide (nt) long). It plays a crucial biological role in regulating protein expression via either gene degradation or silencing. It acts as a core element to mediate gene and protein interactions at a multiple intra- and inter-cellular site to regulate their functions [11]. Hence, they are heavily available in biological fluids, a feature that facilitates their use as a biomarker research target.
Their biosynthesis is orchestrated at multiple events by which miRNAs are transcribed in the nucleus into a large primary form (pri-miRNAs). The immature pri-miRNAs are then methylated and subsequently processed by the DORSHA-DGCR8 complex and transferred to the cytoplasm. The cytoplasm is where pri-miRNAs are cleaved by DICER to form the mature double-stranded miRNA (22 nt), which are incorporated into a ribonuclear vesicle and form the RNA-induced silencing complex (RISC) [8, 11, 12].
lncRNAs, on the other hand, are typically longer than 200 nt. They are abundantly generated from 80–90% non-coding modulatory elements in the human genome and account for 60,000 lncRNA. Functional studies have recently classified the molecular mechanisms of lncRNAs into four types: guide, signal, decoy, and scaffold. They possess their regulatory role at the transcriptional, post-transcriptional processing levels, chromatin modification, and epigenetic modulation. Like miRNAs, they are radially available in body fluids and present in exosomes. A fact that makes them a good candidate as a non-invasive biomarker research tool.
LncRNAs, like other ncRNA, exhibit a complex three-dimensional structure and share a similar biosynthesis pathway. Based on their positional properties, they can be easily transcribed by polymerase II, polyadenylated, and spliced from different genomic sites. Owing to this property, lncRNAs are grouped into (1) natural anti-sense transcripts, (2) stand-alone, (3) pseudogenes, (4) intronic transcripts, and (5) enhancer RNA, promotor-associated, and divergent transcripts. LncRNAs lack open reading frames (PRFs); however, they exhibit a high tendency for cell-specific expression and possess a 3-terminal process specificity.
Both miRNAs and lncRNAs are present in abundance in body fluids and various cell types, and they have become a hot research topic for investigations related to PCOS diagnostic and therapeutic biomarker targets.
2. ncRNA and PCOS
To explore the cause, we need to critically assess the problem. This will lead us to explore the available knowledge associated with this disorder and further link that to how ncRNAs may contribute to the physiology and pathophysiology of PCOS.
Gonadotropin-releasing hormone (GnRH) is typically high in PCOS, leading to increased secretion of pituitary luteinizing hormone (LH). Consequently, ovarian androgen levels increase, leading to lower follicle-stimulating hormone (FSH) production by the pituitary gland. This would result in egg maturation issues and, therefore, anovulation. Moreover, numerous small follicles are observed in the ovary. In addition, altered steroidogenesis will result in abnormal production of estrogen (E2), progesterone (P4), and androgens [9]. Insulin resistance (IR) has also been described as a momentous cause of PCOS [6].
A vast number of ncRNAs have been observed altered in various reproductive tissues and body fluids from PCOS women. Their aberrant expression has been associated with abnormal ovarian cell apoptosis and/or proliferation, steroidogenesis, IRs, as well as adipocyte dysfunction among PCOS patients compared to healthy controls.
2.1 The role of ncRNAs in PCOS-associated ovarian steroidogenesis
Androgen production is vital for estrogen synthesis. Thus, the malfunction and/or incomplete conversion of androgens to estrogens cause hyperandrogenism (HA). PCOS is characterized by the dysregulation and increased production of the six main androgens: free testosterone (fT), testosterone (TT), androstenedione (A), sex hormone binding globulin (SHBG), 17-hydroxy progesterone (17-OHP), and dehydroepiandrosterone sulfate (DHEA [13]). Hyperandrogenism is substantially attributed to the ovaries and adrenals and with minimal contribution from fatty tissues. The imbalance in these hormones negatively impacts follicle development and oocyte maturation, leading to infertility. The etiologies associated with androgen excess are not solely uncovered and are still controversial. One possible reason is the increased P450 steroidogenic enzymatic activity, and another might be androgen receptor (AR) malfunction, cortisol metabolism defects, and/or the overproduction of androgen by TCs in response to LH overstimulation [14, 15]. It has been suggested that increased testosterone bioavailability in women with PCOS is the result of decreased SHBG [14]. AR has been proposed implicated and was reported to be highly expressed in patients with PCOS [16]. A growing body of evidence has indicated a regulatory role of ncRNAs in the sex steroids-associated physiological mechanisms [17].
2.1.1 miRNAs
The statistical significance of several
It has been suggested that miRNA-423-3P may act guilty for the dysregulation of progesterone production by the TCs. A significant reduction of AdipoR2 (adiponectin receptor 2), a receptor to adiponectin, has been found in the TCs of women with PCOS. AdipoR2 has been shown to directly interact with miRNA-423-3P and thus may play an important role in the pathogenesis of PCOS [7].
2.1.2 lncRNAs
These insights can indicate the complex interaction network between both miRNAs and lncRNAs to modulate the endocrine disturbance associated with the PCOS phenotype. Thus, further work is required to highlight the possible use of these ncRNAs as a potential therapeutic target. A summary of miRNAs and lncRNAs included in this section is provided in Table 1.
miRNAs | lncRNAs | Findings | Reference |
---|---|---|---|
miR-592 | Expression passively associated with LH/chorionic gonadotropin receptor (LH/CGH) | [19] | |
miR-125b-5p | Increase expression of androgen synthesis-related enzymes and testosterone production | [20] | |
miR-23a, miR-146a | Negative regulators of serum testosterone | [21, 22] | |
miR-278, miR-181a | Negatively regulate aromatase activity, leading to lower estrogen synthesis | [23, 24] | |
miR-34C, miR-9, miR-135a, miR-18b, and miR-32 | Modulating steroid synthesis | [25] | |
miR-96-5P | Modulate E2 synthesis | [26] | |
miR-200b | Modulate E2 synthesis | [27] | |
miR-320 | Regulating steroidogenesis | [28, 29] | |
miRNA-423-3P | Dysregulation of progesterone production | [7] | |
lncRNA H19 | Modulate steroidogenesis | [17] | |
lncRNA HUPCOS | Positively correlated to FF testosterone in PCOS individuals | [30] | |
lncRNA OC1 | Suppress aromatase activity in the GCs | [31] | |
CTBP1-AS | Modulator of AR and can correspond to TT | [10] | |
lncRNA Neat1 | Regulation of follicle development and P4 function | [7] | |
ZFAS1 | Endocrine disturbance via sponging miR-129 | [32] |
2.2 The role of ncRNAs in PCOS-associated IR
It sounds like there is a strong link between IR, HA, and PCOS-related infertility. IR in PCOS is caused by impaired insulin action and is marked by compensatory hyperinsulinemia (HI) and reduced insulin response to glucose overload [33]. It is because insulin plays a significant role in facilitating androgen secretion from the pituitary, ovaries, liver, and adrenal glands, and it acts as a co-gonadotropin to regulate ovarian steroidogenesis. Additionally, it can arrest ovarian follicular development, modulate LH pulsatility, and negatively regulate SHBG production [34]. Androgen excess can lead to a chain reaction with IR and HI. It is prevalent in 65–95% of women diagnosed with PCOS, and it has been found that obesity can exacerbate these conditions. IR can stimulate an increase in CYP17 enzymatic activity, which in turn inhibits SHBG levels, leading to increased serum fT levels [8, 14]. Interesting to note that HA in the ovaries can be attributed to the insulin growth factor-1 (ICF-1) receptor, which can play a role in mediating LH-induced TCs androgen overproduction [35].
2.2.1 miRNAs
IGF-1 signaling pathway in synergy with peroxidase proliferator receptor (PPAR) and angiopoietin, has been shown to contribute to PCOS. Interestingly, miR-223 has been indicated to have the potential to modulate this pathway [36]. The expression miR-222 has been reported to positively correlate with serum insulin from patients with PCOS [21, 37]. It is apparent that miR-146 is an important factor in IR and is believed to have a significant role in its pathogenesis. The expression of miR-146 triggers a series of proinflammatory signals that activate nuclear factor kappa B (NFkB), leading to the upregulation of miR-146a, which in turn initiates negative feedback and regulates immune response. However, during hyperglycemia, this miRNA is downregulated despite NFkB activation and proinflammatory response [33, 38]. It is interesting to note that according to Sang et al. [29], miR-320 and miR-132 have been suggested to play a role in modulating IR. The author predicted that RABSB and HMGA2 are the target genes for miR-320 and miR-132, respectively, and that both gene expression are altered by reduced levels of these miRNAs in the FF of women with PCOS [29]. One of the reported miRNAs to be elevated in PCOS individuals is miR-93. The overexpression of this miRNA has been associated with IR and was shown to correspond strongly with GLUT4 receptor suppression in adipose tissues in women with PCOS [39]. It has been found that miR-133a-3p is highly expressed in patients with PCOS as compared to controls. This miRNA inhibits the PI3K/AKT (PKB) signaling pathway, which plays a crucial role in insulin action. The insulin receptor substrate-1 activates PI3K, which activates AKT, the main downstream protein. However, in PCOS, IR leads to inhibition of the PI3K/AKT signaling pathway. Nevertheless, the mechanism is not yet fully understood and requires further investigation [38].
Moreover, a recent investigation on glucagon-like peptide 1 agonist receptor agonist (GLP-1RA) and dipeptidyl peptidase-4 (DPP-4) inhibitors have shown a relationship with altered expression of miRNAs such as mIR-222, miR-221, miR-33, miR-155-5, miR-6763, miR-75-5p, miR-197, miR-1197-3p, and miR-6356, which may have an impact on insulin sensitivity and contribute to the management of symptoms related to PCOS by increasing glucose metabolism and transport [33, 40, 41, 42]. Furthermore, an antagonistic glycolytic regulatory activity has been observed to be exhibited by miR-155-5p and miR-143-2p in PCOS-related follicular dysplasia [43]. miR-29, miR-19a, miR-1, and miR126 have also been suggested to modulate glucose uptake via PI3K signaling pathways [44].
2.2.2 lncRNAs
The role of
miRNAs | lncRNAs | Findings | References |
---|---|---|---|
miR-223 | Modulate IGF-1 signaling pathway in synergy with PPAR and angiopoietin | [36] | |
miR-222 | Positively correlate with serum insulin | [21, 37] | |
miR-146, miR-146a | Triggers a series of proinflammatory signals leading to the Initialization of negative feedback and regulates immune response | [33, 38] | |
miR-320, miR-132 | Modulating IR | [29] | |
miR-93 | Modulating IR | [39] | |
miR-133a-3p | Modulating IR | [38] | |
mIR-222, m | Increasing glucose metabolism and transport, associated with PCOS-related follicular dysplasia | [40, 41, 42] | |
miR-155-5p and miR-143-2p | Antagonistic glycolytic regulatory activity | [43] | |
miR-29, miR-19a, miR-1, and miR126 | Modulate glucose uptake via PI3K signaling pathways | [44] | |
lncRNAs (RP11-151A6.4, LNC00475, RP11-54A4.2, TTTY14, RP1-93H18.1, and RP3-439F8.1) | Their expression was significantly associated with IRs | [34] |
2.3 The role of ncRNAs in PCOS-associated GCs proliferation and apoptosis
GCs play a crucial role in the growth and maturation of oocytes, and any dysfunction in these cells can contribute to abnormal folliculogenesis and hormone production. Thus, aberrant GC proliferation and apoptosis are believed to be a significant factor in the development of PCOS.
2.3.1 miRNAs
Several studies have profiled ncRNAs in GCs taken from women with and without PCOS. It has been shown that women with PCOS tend to have lower levels of miR-145 in their GCs. Interestingly, the upregulation of this miRNA not only inhibited cell proliferation but also promoted cell apoptosis in human GCs. Further investigations demonstrated that miR-145 can suppress the activation of the MAPK/ERK signaling pathway via binding to insulin receptor substrate 1(IRS1). Based on these findings, the author suggested that the inhibition of miR-145 levels may promote GC proliferation via IRS1/MAPK/ERK regulatory network in women with PCOS [45]. Mao et al. [46] have also reported lower expression of miR-29a-5p, 92b, and miR-126-5p in GCs of PCOS women, which could induce GC apoptosis [46]. The role of miR-486-5p, miR-3940-5p, miR-182, miR-206, miR-15a, and miR-204 in modulating ovarian GC proliferation and apoptosis have been reported. While miR-3940-5p was found to be upregulated, low expression of miR-182, miR-15a, miR-486-5p, miR-206, and miR-204 has been observed in the GC of PCOS individuals when compared to healthy controls [14, 47, 48]. However, the profile of miR-486-5 in PCOS has been reported with contradicting results [49, 50].
It is well established that GCs are the primary site of endocrine signaling and estrogen synthesis in the ovaries. Thus, it is expected that the dysregulation of miRNAs in GC may contribute to the dearth of E2, a major feature of PCOS. Zhang et al. [51] reported a low expression of miR-320a in the CCs in females with PCOS when compared to healthy controls. The group proposed that miR-320a induced E2 deficiency via 320a/RUNX2/CYP11A1 (CYP19A1) regulatory pathway [51].
The overexpression of miR-93 has been reported in the GCs of PCOS patients. Jiang et al., further indicated that cdkn1a is the target gene of this miRNA and that the absence of this gene supported the stimulating proliferation role of miR-93, whereas the reintroduction of cdkn1a reversed this effect [52]. He et al. [53] have suggested that miR-141 and miR-200 expression in the GC of PCOS patients may target the PI3K/Wnt signaling pathway to inhibit their proliferation [53]. The significant upregulation of miR-513b, miR-509-3p, and miR-423-3p has been reported by several studies in the CCs of women with PCOS [50, 54, 55].
2.3.2 lncRNAs
It is interesting to note that Huang et al. [54] demonstrated that there was a significant upregulation of the expression of 620
miRNAs | lncRNAs | Findings | Reference |
---|---|---|---|
miR-145 | Inhibited GCs proliferation and promoted cell apoptosis | [45] | |
miR-29a-5p, 92b, and miR-126-5p | Induce GC apoptosis | [46] | |
miR-182, miR-15a, miR-486-5p, miR-206, and miR-204, miR-3940-5p | Modulating ovarian GC proliferation and apoptosis | [14, 47, 48] | |
miR-320a | Induced E2 deficiency | [51] | |
miR-93 | Modulating ovarian GC proliferation and apoptosis | [52] | |
miR-141 and miR-200 | Target the PI3K/Wnt signaling pathway to inhibit GCs proliferation | [53] | |
miR-513b, miR-509-3p, and miR-423-3p | Modulating ovarian GC proliferation and apoptosis | [50, 54, 55] | |
lncRNA hcp5 | Promoting GCs proliferation and apoptosis via the miR-27a-3p/IGF-1 axis | [57] | |
ZFAS1 | Increase GCs proliferation and inhibit apoptosis | [32]. | |
LINC00477 | Inhibiting the GCs proliferation and increasing apoptosis through sponging miR-128 | [58] | |
lncRNA PVT1 | Regulate GCs proliferation and apoptosis | [58] | |
TUG1 | Modulate GCs proliferation, aromatase expression and E2 biosynthesis in GCs | [59] | |
HCG26 | Modulating GC proliferation and steroidogenesis | [60] |
3. Did ncRNA resolve the puzzle for PCOS?
Efforts to gain a better understanding of the molecular endogenous RNA networks affecting PCOS are vast. These studies successfully shed some light on the complicated interactions and functions in association with the endocrine and female reproductive system overall. The research demonstrated the crucial role of ncRNAs in forming a mutual functional endogenous network that can significantly develop and modulate a disease state.
Sequencing technology and transcriptomics analysis have been used by various groups to investigate potential ncRNAs as biomarkers for PCOS with varying biological significance. However, to agree on the statistical significance of any of the found biomarkers, it is important to take into consideration several factors. Among the most important are the p-value, the specificity and sensitivity of the fold change in PCOS and related symptoms, and how relevant the indicated role of the biomarker is [3]. The data available to date is contradictory, and very few ncRNAs can be defined as significant to the condition of PCOS. The reason for that can be related to the various types of samples and methods used by the different groups. Adding to the complexity of testing is the fact that PCOS is a multi-organ disorder, which means it can be affected by the various ncRNAs expressed in association with extracellular signaling. Therefore, it is important to study these functional biomolecules by utilizing more experimental investigations and large data build-up and analysis. Several models have been shown to be useful, such as the bioinformatics approach used by Zeng et al. The group was able to develop an RNA-drug network based on differentially expressed miRNAs and lncRNAs. This approach allows for the identification of molecular correlations among drugs and can guide future work in locating the underlying mechanisms and functional roles of these biomolecules in PCOS [3, 61]. Furthermore, studies on human cell lines such as KGN cells can also be promising, especially in studying intracellular signaling networks [60, 62]. This approach in combination with tissue and cell analysis is prominent to investigate biomolecular interactions and molecular mechanisms involved in follicular development and PCOS. Gene Ontology (GO) and pathway analysis with the Kyoto Encyclopedia of Genes and Genomes (KEGG) has been used by several groups to discover significant correlations between ncRNAs biomarkers for PCOS in association with functional biological significance [3, 5]. The statistical significance and true causation analysis to point and define effective biomarkers for the diagnosis and treatment of PCOS require further clarity of the underlying mechanisms. Thus, the combination of these approaches mentioned above would be a good way to move forward in discovering the PCOS-associated therapeutic complexes.
4. Conclusion
In conclusion, PCOS is a condition associated with hormonal imbalances manifesting into infertility and other serious long-term health problems. Early and accurate diagnosis is crucial, as it can help prevent complications like diabetes. The fact that PCOS affects endocrine cellular functions is certainly concerning and urges more work to clearly define the accurate causation of the condition. The advancement in sequencing technology is promising and can help us expect reliable ncRNA biomarkers that can be used in clinical settings worldwide soon. Further research is needed to explore complex networks of ncRNAs/RNAs and protein combinations and useful functional signaling pathways. This could help unveil and resolve the PCOS puzzle.
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