Literature DB >> 31193491

Non-coding RNA regulation in reproduction: Their potential use as biomarkers.

Vanesa Robles1,2, David G Valcarce1, Marta F Riesco1.   

Abstract

Non-coding RNAs (ncRNAs) are crucial regulatory elements in most biological processes and reproduction is also controlled by them. The different types of ncRNAs, as well as the high complexity of these regulatory pathways, present a complex scenario; however, recent studies have shed some light on these questions, discovering the regulatory function of specific ncRNAs on concrete reproductive biology processes. This mini review will focus on the role of ncRNAs in spermatogenesis and oogenesis, and their potential use as biomarkers for reproductive diseases or for reproduction success.

Entities:  

Keywords:  Biomarkers; Non-coding RNAs; Oogenesis; Reproductive transgenerational effects; Spermatogenesis

Year:  2019        PMID: 31193491      PMCID: PMC6531869          DOI: 10.1016/j.ncrna.2019.04.001

Source DB:  PubMed          Journal:  Noncoding RNA Res        ISSN: 2468-0540


Introduction

Non-coding RNAs (ncRNAs) are regulatory elements of gene expression and chromatin structure [1]. It is well established that differential susceptibility to these non-coding RNAs contributes to tissue-specific gene expression. They are relevant from very early stages of germ line development, but their function is not only important in these early stages; non-coding RNAs are crucial players in postranscriptional gene control in spermatogenesis and oogenesis. In this review we will show the latest findings on the role of these molecules in such complex and highly regulated processes. There are different classes of ncRNAs, but in this mini review we will focus mainly on microRNAs (miRNAs), and, in less detail, on Piwi interacting RNAs (piRNAS) and long non-coding RNAs (lnc RNAs) and their role in gametogenesis. miRNA biogenesis is orchestrated at several levels: transcription (processing by Drosha and Dicer), RNA methylation and adenylation and uridylation. In the canonical pathway, miRNAs are transcribed as large primary miRNAs (pri-miRNAs) in the nucleus and after that these pri-miRNAs are methylated by methyltransferase 3 (METTL3) [2,3]. Subsequently, these pri-miRNAS are processed into mi-RNA precursor pre-miRNAs, (60–70 nt) by the DROSHA-DGCR8 complex and exported to the cytoplasm by exportin-5 (Exp-5). In the cytoplasm, pre-miRNAS are cleaved by DICER to form a double-stranded mature miRNA of 22 nucleotides which are incorporated into a ribonuclear vesicle forming the RNA-induced silencing complex (RISC) [2,3] (Fig. 1). In the non-canonical mode, several pathways are included such as ii) DICER-independent and DROSHA-DGCR8 dependent and ii) DICER-dependent and DROSHA-DGCR8 independent [4]. Small nucleolar RNAs (snoRNAs) are an example of the second pathway where the processing of snoRNAs to miRNAs requires Dicer activity but is independent of Drosha/DGCR8 [4]. Several miRNAs are crucial in different steps of gametogenesis, either for maintaining the undifferentiated state or inducing differentiation. The fact that one single miRNA could have different mRNA targets [5] and one specific mRNA 3′UTR could be regulated by several miRNAs, adds complexity to this regulatory pathway. Recently it was also discovered that a class of miRNA-recognition elements exist in protein-coding sequences (CDS) and CDS-targeted miRNAs are thought to be GW182 (glycine-tryptophan repeat-containing protein of 182 kDa) independent and induce transient ribosome stalling instead of mRNA destabilization [6]. In mammals, it is known that miRNAs control about 50% of all protein-coding genes and participate in most cellular processes [2]. Regarding piRNAs, this regulatory pathway is responsible for germline specification and gametogenesis and plays an important role in defending against transposable elements during the epigenetic reprogramming stage in the fetal testis [7] (Fig. 1). Two different pathways are involved in the piRNA biogenesis model: the primary processing pathway and a secondary amplification pathway (ping-pong amplification loop) that amplifies secondary piRNAs. In the germline, piRNA biogenesis involves both pathways [8]. In the first, piRNAs are transcribed from genomic regions (piRNA clusters), processed, and loaded onto Piwi or Aub. Piwi carries out transcriptional gene silencing in the nucleus [8]. The Aub–piRNA complex (some maternally inherited) serves as a trigger to start the ping-pong amplification pathway. The ping-pong pathway silences the target transposon sequence and amplifies the piRNA one [8].
Fig. 1

Non coding RNAs. Mechanisms of action. A.- Long non coding RNAs and short RNAs. B.- miRNAs. C.- piRNAs.

Non coding RNAs. Mechanisms of action. A.- Long non coding RNAs and short RNAs. B.- miRNAs. C.- piRNAs. Both types of molecules (miRNA and piRNA) require a specific group of protein regulator: miRNAs are always dependent on Argonaute proteins, which are essential components of the RISC, and piRNAs require PIWI proteins to be functional. However, lncRNAs, which represent the largest proportion of ncRNAs, do not require a specific group of proteins to be fully functional and their biogenesis has unique features [9]. Instead, they are able to interact with a wide variety of proteins or even with other ncRNAs to perform diverse functions in both the nucleus and cytoplasm (Fig. 1). They can inhibit DNA binding proteins and miRNA-induced mRNA degradation and translation, promote DNA methylation by binding to DNA methylation factors or promote histone modification by binding to histones (Fig. 1). They can act as precursors of short RNAs with different regulatory roles in the cell [10] and are also important in chromatin looping and nuclear body formation and function [11] (Fig. 1). Interestingly, some elements of these different pathways seem to converge in a germ-cell specific RNA processing centre known as the Cromatoid Body, which organizes and controls RNA processing in male germ cells [12]. This mini-review addresses recent findings on the role of these molecules in gametogenesis as well as their relationship with reproductive disorders (Table 1), transgenerational effects and their potential importance as biomarkers for reproductive success.
Table 1

Summary of differential expression of ncRNAs linked to male reproductive disorders.

Reproductive disorderSamplenon-coding RNAsSpeciesRef.
AzoospermiaSeminal plasma↓miR-34c-5p, ↓miR-122, ↓miR-146b-5p, ↓miR-181a,Human (Homo sapiens)101
↓miR-374b, ↓miR-509-5p, ↓miR-513a-5p
Seminal plasma↓piR-31068, ↓piR-31925, ↓miR-43771, ↓piR-43773Human (Homo sapiens)114
↓piR-31098



AsthenozoospermiaSeminal plasma↑miR-34c-5p, ↑miR-122, ↑miR-146b-5p, ↑miR-181a,Human (Homo sapiens)101
↑miR-374b, ↑miR-509-5p, ↑miR-513a-5p
Sperm↑miR-30a, ↑miR-363, ↑miR-26a, ↑miR-200a, ↑miR-141,Human (Homo sapiens)102
↑miR-429, ↑miR-193b
↓miR-122, ↓miR-34b, ↓miR-1973
Seminal plasma↓piR-31068, ↓piR-31925, ↓miR-43771, ↓piR-43773Human (Homo sapiens)114
Sperm↓Nrf2, ↓HOTAIRHuman (Homo sapiens)115



DNA damaged spermSeminal plasma↓miR-424/322Human (Homo sapiens)104
Erectile dysfunctionCorpus cavernosum tissue↓miR-141Rat (Rattus norvegicus)113
CP/CPPSExpressed prostatic secretion (EPS)↑miR-21-5p, ↑miR-30a-5p, ↑miR-30d-5p, ↑miR103a-3p,Human (Homo sapiens)111
(Chronic prostatitis/Chronic pelvic pain syndrome)↑miR-141-3p
Non-obstructive azoospermia (NOA)Testicular tissue↑miR-193a-3p, ↑miR-193a-5p, ↑miR-210, ↑miR-23a,Human (Homo sapiens)99
↑miR-302a, ↑miR-371-5p, ↑miR-374a, ↑miR-423-3p,
↑miR-491-3p, ↑miR-554, ↑miR-557, ↑miR-565,
↑miR-572, ↑miR-638, ↑miR-654-5p, ↑miR-663,
↑miR-744, ↑miR-801



Testicular tissue (cryptorchid)↓miR-3663-5p, ↓miR-1233-3p, ↓miR-552-5p, ↓miR-449b-5p,Human (Homo sapiens)100
↓miR-7153-5p, ↓ miR-122-5p, ↓miR-552-3p, ↓miR-449a
Testicular tissue↑miR-19b, ↑miR-let-7aHuman (Homo sapiens)110



OligoasthenozoospermiaSperm↑miR-141, ↑miR-193b, ↑miR-26a, ↑miR-200c,Human (Homo sapiens)102
↑miR-29a, ↑miR-429, ↑miR-200a
↓miR-34b, ↓miR-15b, ↓miR-34c-5p,↓miR-449b,
↓miR-1973, ↓miR-122, ↓miR-16,↓miR-19a



Seminal plasma↑miR-1275, ↑miR-4298, ↑miR-3675-3p, ↑miR-765,Human (Homo sapiens)109
↑miR-483-5p, ↑miR-1299, ↑miR-766, ↑miR-4306
↓miR-26b, ↓miR-363, ↓miR-30b,↓miR-17,
↓miR-148a, ↓miR-21, ↓miR-20a,↓miR-23b



Sperm↓Nrf2, ↓HOTAIRHuman (Homo sapiens)115
Prostate cancerBlood↑miR-1825, ↑miR-484, ↑miR-141,Human (Homo sapiens)112
↓miR-let-7b, ↓miR-205



SCO (Sertoli cell-only) syndromeTesticular tissues↓miR-202-5p, ↓miR-34c-5p, ↓miR-10b, ↓miR-191, ↓miR-126Human (Homo sapiens)103
Summary of differential expression of ncRNAs linked to male reproductive disorders.

Primordial germ cell specification and spermatogenesis

PGC specification

Primordial germ cells (PGCs) are the embryonic precursors of germ cells that will generate the gametes (oocyte and spermatozoa) [13]. Germ cell specification, differentiation, and development involve complex regulatory networks at both transcriptional and post-transcriptional levels, including epigenetic mechanisms and the participation of small ncRNAs [14]. Different mechanisms of PGC specification have been described among diverse species. In mammals, germ cells are not specified by inheritance of maternal germplasm as occurs in teleost fish, but instead they are specified later by different inductive signals related to the bone morphogenetic protein ligands Bmp4 [15] and Bmp8b [16]. In this inductive mode, some miRNAs are selectively expressed in PGCs as miR-10b, −18a, −93, −106b, -126–3p, −127, −181a, −181b, and −301, all of them having an important function in these cells. These miRs are involved in differentiation, migration and apoptosis in PGCs in mice [17]. Specifically, miRNAs have been revealed as important in the PGC specification process, for instance the miR-290-295 cluster, whose deficiency results in an abnormal germ cell with deficient PGC migration in mice [18] or miR-29b, whose upregulation induces female PGC development by targeting DNA methyltransferase Dnmt3a and Dnmt3b [19]. In the inherited mode, the miRNA pathway plays a critical role in germ cell development as well, and some germ plasm-specific miRNAs like miR-202–5p, have recently been identified in zebrafish [20]. This miRNA was characterized as a PGC/germline marker in zebrafish due to its potential role in germ cell development. Moreover, other miRNAS have been related to PGC migration in this species, such as miR-430, regulating sdf1a and cxcr7 mRNAs key transcripts regulating migration [21]. In addition, it has been demonstrated in medaka that the interaction of dead end (dnd) transcript protects germ plasm RNAs from miR-430 mediated degradation to ensure PGC specification allowing PGC formation and maternal RNA turnover [22]. On the other hand, piRNAs are a class of sncRNAs that were discovered in germline cells. They safeguard the germline genome from retrotransposons and protect genomic stability [23,24]. For example, some functions have been described for piRNA pathway components in DNA methylation remodeling during early PGC specification in mammals [25]. In addition, although the effects of mutations on development differ among species, loss of Piwi function in mice or zebrafish, results in progressive loss of germ cells by apoptosis, thus demonstrating its importance in germ cell maintenance [26]. The role of lncRNAs in PGC specification has not been described. However, some reviews have suggested their possible implications in controlling transcription factors related to PGC specification such as BLIMP1/PRDM1 or DAZL [27,28]. Specifically, more than 300 binding sites of BLIMP1/PRDM1 in mouse PGCs, are associated with non-coding genes whose functions in PGCs specification are still unknown [27,29].

Spermatogenesis

Spermatogenesis is the process by which germ cells proliferate and differentiate into haploid male gametes. Post-transcriptional regulation is particularly important during the late steps of spermatogenesis when the compacting sperm nucleus becomes transcriptionally inhibited [30]. Non-coding RNAs have been shown to play a critical role during spermatogenesis in the control of gene expression, at the transcriptional level as components of chromatin remodeling complexes or post-transcriptional regulation [31]. This complex process is divided into three main phases and, interestingly, the miRNA profile is unique in each phase; (I) the first phase includes the mitotic proliferation and formation of spermatogonia from germ cells, (II) in the second phase spermatid formation occurs through spermatocyte meiosis and finally (III) spermiogenesis, this phase results in mature spermatozoa production from spermatids. In order to simplify, we will divide the process into early stages (phase I) and later stages of spermatogenesis (phases II and III):

The early stage of spermatogenesis

In this stage, different miR have been described in mammals as crucial for germ cell self-renewal and differentiation such as miR-34c. This miRNA promotes mouse spermatogonial stem cell (SSCs) differentiation by targeting Nanos2 [32]. Other key miRNAs are miR-293, 291a-5p, 290–5p and 294, whose targets are involved in cell cycle regulation [33]. In this sense, miR-21 inhibition increases the germ cell in the early stages of mouse spermatogenesis [34]. Other miRNAs, such as the Let-7 miR family, play an important role in mouse spermatogonial differentiation from undifferentiated spermatogonia to A1 spermatogonia through suppression of Lin28 [35] whereas others, such as miR-146, are crucial for keeping spermatogonia in an undifferentiated state in this species [36]. Additional miRNAs have been described as having a critical role in spermatogonial stem cell self-renewal and differentiation such as miR-20, miR-21 and miR-106 regulating spermatogonial homeostasis [37], miR-224 that promotes SSCs self-renewal via targeting DMRT1 in mouse [38], miR-202–3p involved in spermatogonial meiosis initiation and miR-10b related to SSC self-renewal via targeting KLF4 in mouse [39,40]. Some lncRNAs are known to carry out important functions in male germ cell development in mammals. Two spermatogonia specific lncRNA have been described, Spga-lncRNA1 and 2, which are crucial for maintaining SSC stemness [41]. Recently, lncRNA-033862 has been described as a molecular marker in SSC maintenance; this lncRNA, subjected to GDNF signaling, was highly expressed in mouse SSCs and could regulate the impaired self-renewal, survival and maintenance of SSCs [42].

The later stage of spermatogenesis

This stage includes meiosis phases and spermiogenesis. The role of miR has been largely described in mammals. Although miR 34-c has been identified in SSCs and its importance in germ cells previously described in the present review, this specific miR has an additional role in spermatocytes and round spermatids related to apoptosis events [43], and has been suggested as a regulator of the NOTCH signaling pathway that controls germ cell differentiation [44]. Interestingly, miR-34c in spermatozoa is also essential for first cell division of the mouse embryo [45]. Other miR involved in the regulation of meiotic and post meiotic events in later stages of spermatogenesis is the miR-449 cluster. Its upregulation is crucial in meiosis initiation during murine spermatogenesis [46]. This miR is also involved in germ cell apoptosis through its targets: BCL2 and AFT1 [40]. In the chromatin remodeling phase, some miRNAs such as miR-122 and 469 regulate chromatin condensation and protamine targeting [47]. In the zebrafish model, different miRNAs have been identified predominantly expressed in germ cells at different spermatogenetic stages (including spermatogonia and spermatozoa), for instance dre-miR-202–5p [48]. Recent studies reveal the importance of lncRNA in later stages of spermatogenesis. LncRNA-Tcam1 and lncRNA-HSVIII are described as crucial in pachytene spermatocytes, suggesting their participation in the transcriptional regulation of spermatocyte-specific gene expression. Specific lncRNAs are known to have other important functions, such as Tsx (testis-specific X-linked), which controls the apoptosis of pachytene spermatocytes in mouse [49]. Some additional functions related to post-transcriptional control have been determined for lncRNAS in this phase of spermatogenesis, for example, Tubulin cofactor A (TBCA), which interacts with tubulin during the microtubule rearrangement process [50]. However, the scenario in human is different, much less is known about lncRNAs in spermatogenesis. NLC1-C has been associated to male infertility through the control of miRNA expression via RNA-binding proteins in human spermatogenesis [51].

Oogenesis

Oogenesis is the process of creating the fertilizable ovum. It represents the most dramatic cellular differentiation pathway in females. It is a highly precise, orchestrated, and cyclic process. In folliculogenesis in mammals, small healthy primordial resting follicles (the oocyte and the surrounding somatic cells) progressively lead to the development and selection of dominant follicles (DFs) by extreme differentiation of both oocyte and somatic cells [52], especially granulose cells (GCs) [53]. Folliculogenesis is controlled by the luteinizing hormone (LH). Successive LH surge waves regulate the growth of a single follicle which becomes the dominant follicle (DF) while the rest, the subordinate follicles (SFs), undergo atresia [54]. The complex process from primordial follicles to mature follicles occurs by the differentiation, proliferation and apoptosis of granulose cells [55] and it requires a large network of gene interactions and tightly regulated genes. Communication between GCs and oocytes and vice versa [56,57] is crucial for oocyte growth. As expected, this differentiation and morphological transformations are complexly orchestrated by molecular mechanisms. Thus, dysregulation in the expression of key genes would be critical in determining the fate of DFs or SFs [[58], [59], [60]]. In recent years, post-transcriptional regulation by ncRNAs in this process has become a focus of attention. Many of the first related studies focused on identifying small RNA species within the organ, tissues and specific cell types of the gonad. The vast majority of publications on ncRNAs in oogenesis and ovary function centre on miRNAs. These conserved tiny non-coding RNAs have been mainly studied using KO experiments in mice. Due to the importance of DROSHA-DGCR8 and DICER proteins in their biogenesis, conditional knockout (cKO) models have been developed to evaluate the general involvement of miRNAs in the ovary. Using these approaches, nowadays there is evidence of the key roles of miRNA in folliculogenesis, oocyte maturation and ovulation. Moreover, miRNAs are described as key elements in the assembly of primordial follicles, the transition from primordial to primary follicles, follicular growth, oocyte maduration, ovulation and the formation of the corpus luteum in mammals. As expected, miRNA expression within the ovary differs attending to cell type, function, and stage of the estrous cycle. miRNA screening analysis of mammalian ovarian tissues have defined the expression of these regulating molecules in the female gonads of several species [[61], [62], [63], [64], [65]]. Conditional knockout of Dicer1 from follicular GCs in mammals caused defects such as: abnormal oocyte maturation, disrupted follicular development and ovulation, increased follicular atresia, and infertility [[66], [67], [68]]. Interestingly, there are inklings about the regulation of bovine follicle development during the estrus cycle by a single miRNA via a canonical pathway, in which the target gene of miRNA plays a central role [69]. Predictably, numerous miRNAs target transcription factors (TFs) as well, such as TGF-β superfamily members, the luteinizing hormone receptor (LHR) and follicle stimulating hormone receptor (FSHR) closely linked to follicular development. Defects in these molecules similarly affect cellular communication and normal follicle development [[70], [71], [72]]. Furthermore, numerous publications have proven that specific miRNAs are involved in different aspects of GC processes [73], for instance, proliferation [38,[74], [75], [76]], survival [[77], [78], [79]], terminal differentiation [80], steroidogenesis [[81], [82], [83], [84]], and cumulus expansion [85] in mammals. As an example, miRNA-224 is proven to be involved in transforming growth factor-beta-mediated mouse GCs proliferation and GC function by targeting smad4 in mouse [83]. Thus, miRNAs may be involved in the selection of DFs. The difficult nature of miRNA target interaction, regulation, and function, nevertheless, represents a challenge for functional analysis. Some miRNAs regulate precise signaling pathways, others, the majority, perform in clusters and are fine regulators of cellular functions [86]. As a specific example of the regulatory role of miRNA in primordial follicle formation, the overexpression of miR-143 in murine 15.5 dpc ovaries inhibits the formation of primordial follicles by suppressing the proliferation of pre-granulosa cells. Transfected 18.5 dpc ovaries with miR-376a showed an increased number of primordial follicles. miR-320, miR-133, miR-383 modulate the secretion of E2, an inhibitor of primordial follicle formation, miR-145, miR-181a or the activity of activin, an inducer of primordial follicle formation (reviewed by Grossman and Shalgi [87]) The analysis of miRNAs in ovarian samples confirmed analogous expression patterns in ovaries in different mammalian species, including humans [61], mice [62,88,89], pigs [63], sheep [90], goats [64], and cows [65,[91], [92], [93]]. However, in other non-mammalian vertebrates such as teleost fish, the functional unit of the ovary is not the ovarian follicule. Although studied to a lesser extent, there is evidence of the role of ncRNAs in oogenesis in some fish species. For example, in zebrafish it was shown that a specific miRNA, miR-430, is responsible for maternal mRNA clearance during the embryonic development of zebrafish [94]. Bouchareb and colleagues in 2016, using microarray analysis, identified 66 miRNAs that are significantly overabundant in the ovary of the teleost model medaka [95]. miR-202 was among these sets of miRNAs. This molecule was previously described as being expressed in the gonads of other non-mammalian species like rainbow trout, frog or chicken [[96], [97], [98]]. Microarray revealed that miR-202 exhibited strict ovarian-predominance in medaka, suggesting the presence of an isomiR of miR-202–3p in Oryzias latipes [95]. In the same work, authors also described 8 novel ovarian-predominant miRNAs (miR-4785, miR-6352, miR-4653, miR-878, miR-487, miR-1288, miR-743, miR-729). Their analysis also revealed two miRNAs (miR-4785 and miR-6352) which exhibit strict ovarian expression suggesting key regulatory roles in oogenesis and/or early development, possibly involving a maternal effect since the predicted target of miR-4785 was fshr, and in the case of miR-6352 the predicted targets were smg8, ddx20 and ddx6 genes, all crucial in key ovarian regulation pathways.

The role of non-coding RNAs in some reproductive disorders: their potential use as biomarkers

The aberrant expression of non-coding RNAs could be associated with different disorders in humans [99]. Male infertility could be due to a complete lack of sperm (azoospermia), to low sperm production (oligospermia) or reduced sperm motility (asthenozoospermia), among other causes. A dysregulation of ncRNAs has been observed in all of the above-described pathological conditions. For example, the alteration of miRNA expression was detected in non-obstructive azoospermia (NOA) patients [100,101] and in asthenozoospermic patients [102]. A miRNA microarray analysis of spermatozoa from nine asthenozoospermic and nine oligoasthenozoospermic men revealed 50 upregulated, 27 downregulated miRNAs, and 42 upregulated, 44 downregulated miRNAs, respectively, when compared to normozoospermic men [103]. However, in males, the importance of miRNAs and their potential use as biomarkers are not limited to germ cells. An immunohistochemistry study performed on testicular tissue samples from azoospermic men with Sertoli cell-only syndrome (SCO syndrome), showed specific localization of miR-202–5p in Sertoli cells in normal fertile men, but not in those of infertile men with SCO [104]. Moreover, miRNAs are not only present within the cell. An analysis of seminal plasma from 94 infertile men with a high sperm DNA fragmentation index demonstrated that miR-424 is downregulated in this group, suggesting a role for miR-424 in repairing double-strand breaks during spermatogenesis [105]. The fact that these molecules can be found in extracellular fluids such as seminal plasma, follicular fluid, vaginal secretions, blood serum and saliva [106,107], and that they are stable and resistant to nuclease activity, enables then to be detected by noninvasive methods and could therefore be considered for possible use as non-invasive biomarkers [108]. In fact, miR-122–3p and miR-141–5p are proven to be stable in seminal plasma and are of certain value in the diagnosis of idiopathic asthenospermia [109]. Higher expression levels of miR-765 and miR-1275 and significantly lower expression level of miR-15a were also found in oligoasthenozoospermic subfertile men compared with normozoospermic men [110] and two miRNAs (miR-I9b and let-7a) have been proposed as good diagnostic molecular biomarkers for idiopathic infertile cases with NOA or oligozoospermia [111]. In a recent study, miR-21–5p was been clearly associated with chronic prostatitis patients with significant pelvic pain [112] and in another recent study, 5 miRNAs (miR-1825, miR-484, miR-205, miR-141, and let-7b) were described as potential biomarkers for Prostate cancer tumors [113]. Furthermore, some miRNAs for instance miR-141, have been associated with erectile dysfunction [114]. Regarding the influence of other classes of non-coding RNAs on male fertility, a study carried out in 211 infertile patients (asthenozoospermia and azoospermia) and 91 fertile controls, identified 61 altered piRNAs in the infertile patient group and found 5 piRNAs with high diagnostic potential to distinguish asthenozoospermic and azoospermic individuals from healthy controls [115]. Long non-coding RNAs have also been associated with sperm abnormalities. HOTAIR is a long non-coding RNA that shows lower levels in asthenozoospermic and oligoasthenozoospermic patients [116]. Authors suggest that the decrease in HOTAIR expression led to reactive oxygen species (ROS) related defects in sperm function [116]. In females, some common reproductive disorders are polycystic ovary syndrome (PCOS), endometriosis and ovarian cancer, and in all of them ncRNAs seem to have relevant roles or could be considered as biomarkers of reproductive pathogenesis. As an example, it has been suggested that miRNA could be used as a biomarker to distinguish polycystic ovaries patients from normal menstruating women [108]. A study carried out by Long et al. found that the expression levels of three miRNAs (miR-222, miR-146a and miR-30c) were significantly increased in PCOS patients with respect to the controls [117]. In the particular case of endometriosis, a chronic inflammatory disease, it has been shown that the loss of miR let-7b contributes to the pathophysiology of the disease. Interestingly, in a murine model, treatment using miRNA Let-7b reduced endometriosis lesion size, and authors propose local treatment with this miRNA as a promising therapy for endometriosis [118]. Circulating miRNAs have also been proposed as biomarkers of endometrial cancer [119] in which long non-coding RNAs also play a role. Altered expression of lncRNA in endometrial cancer has been observed although, to date, there are no studies on their profiles during physiological endometrial changes. It has been found that dysregulation of the lncRNAs MALAT1 and H19 are shared across endometrial cancer and endometriosis [119]. Both miRNAs and lncRNAs are thought to be promising molecular markers in ovarian cancers [120]. Apart from these pathogenic states, maternal aging is also a risk factor that correlates with human infertility, and is also associated with an altered miRNA profile. Some miRNAs seems to be differentially present in follicular fluid obtained from younger or older women [121]. To summarize the role of this wide variety of ncRNA in reproductive disorders, we can conclude with a statement by Fertilita et al. in their recent review “the complexity of ncRNA networks makes difficult to understand if deregulation of specific molecules represents the etiological cause of a disease or, alternatively, a secondary effect, depending on the perturbation of physiological pathways” [119]. Nevertheless, it has been clearly demonstrated that this group of molecules has a huge potential for use as biomarkers, more research being necessary to fully understand the complex interactions within these networks (Table 1).

Transgenerational effects mediated by non-coding RNAs

During recent years, several studies point to ncRNAs as important players in epigenetic inheritance of modifications mediated by environmental factors [1,122]. Nowadays it is generally accepted that the parental lifestyle can leave a mark on the progeny, and non-coding RNAs are also relevant players in that respect. Studies have been carried out to determine how important day-to-day factors such as diet, exercise and stress produce modifications in ncRNAs that can be transmitted to progeny. As an example, high fat diet modified sperm miRNAs abundance affecting sperm DNA damage, ROS levels and reduction in sperm capacitation and, more interestingly, metabolic disturbances are observed in two generations of mice [123]. It is also known that paternal stress modifiessperm miRNAs, which is reflected not only in changes in expression in the brains of offspring through the F3 generations [124,125], but also in anxiety and depressive phenotypes in the offspring [126]. Apart from diet and stress, exercise it is another important factor to take into account, because it can alter sperm small non-coding RNAs. Studies carried out in mice demonstrated that running had some effect on sperm miRNAs, three miRNAs in particular being altered (miR-19b, miR-455 and miR-133a). This study also associated paternal exercise with an anxiolytic behavioral phenotype of male offspring, ascribing this behavior to small non-coding RNAs modifications [127]. Taking into account that all these data suggest that alterations in sperm ncRNAs could have a clear effect on the progeny, it is interesting to consider that they could be also mediators in the transgenerational inheritance of undesirable effects caused by different toxics. Some studies show ncRNAs participation in epigenetic inheritance unrelated to DNA methylation or histone modification [1]. Evidence of direct participation of miRNA in the epigenetic transmission of effects caused by reprotoxicants has been confirmed in human [128]. Apart from endocrine disruptor compounds, there are other toxics that can modify the sperm ncRNAs population. As an example, quantitative RT-PCR confirmed lower levels for hsa-miR-296–5p, hsa-miR-3940, and hsa-miR-520d-3p in smokers compared to non-smokers [129]. Although it cannot be assumed that sperm ncRNAs modifications necessarily imply in all cases a real alteration in the progeny, it is clear from all existing data that ncRNAs could contribute to inheriting changes in successive generations through germ cells.

Conclusions

This review highlights the importance of ncRNAs in regulating PGC specification, spermatogenesis and oogenesis from fish to human. Interestingly, these molecules could be used as biomarkers either for reproductive disorders or for reproductive success and their presence in extracellular fluids allows evaluation by non-invasive methods. Although much research is needed to fully understand the regulatory functions of ncRNAs in reproduction and their potential involvement in transgenerational transmission, existing data support the idea that germ cell ncRNas could contribute to inheriting changes in successive generations.
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1.  Role of ovarian theca and granulosa cell interaction in hormone productionand cell growth during the bovine follicular maturation process.

Authors:  H Yada; K Hosokawa; K Tajima; Y Hasegawa; F Kotsuji
Journal:  Biol Reprod       Date:  1999-12       Impact factor: 4.285

Review 2.  Potential local regulatory functions of inhibins, activins and follistatin in the ovary.

Authors:  P G Knight; C Glister
Journal:  Reproduction       Date:  2001-04       Impact factor: 3.906

3.  Bmp4 is required for the generation of primordial germ cells in the mouse embryo.

Authors:  K A Lawson; N R Dunn; B A Roelen; L M Zeinstra; A M Davis; C V Wright; J P Korving; B L Hogan
Journal:  Genes Dev       Date:  1999-02-15       Impact factor: 11.361

4.  Alterations in follicular IGFBP mRNA expression and follicular fluid IGFBP concentrations during the first follicle wave in beef heifers.

Authors:  M J Canty; M P Boland; A C O Evans; M A Crowe
Journal:  Anim Reprod Sci       Date:  2005-09-12       Impact factor: 2.145

5.  Growth differentiation factor-9 stimulates proliferation but suppresses the follicle-stimulating hormone-induced differentiation of cultured granulosa cells from small antral and preovulatory rat follicles.

Authors:  U A Vitt; M Hayashi; C Klein; A J Hsueh
Journal:  Biol Reprod       Date:  2000-02       Impact factor: 4.285

6.  MicroRNA Mirn122a reduces expression of the posttranscriptionally regulated germ cell transition protein 2 (Tnp2) messenger RNA (mRNA) by mRNA cleavage.

Authors:  Zuoren Yu; Tobias Raabe; Norman B Hecht
Journal:  Biol Reprod       Date:  2005-05-18       Impact factor: 4.285

7.  Requirement of Bmp8b for the generation of primordial germ cells in the mouse.

Authors:  Y Ying; X M Liu; A Marble; K A Lawson; G Q Zhao
Journal:  Mol Endocrinol       Date:  2000-07

8.  Gene expression profiling of differentially expressed genes in granulosa cells of bovine dominant follicles using suppression subtractive hybridization.

Authors:  Tania Fayad; Valérie Lévesque; Jean Sirois; David W Silversides; Jacques G Lussier
Journal:  Biol Reprod       Date:  2003-10-20       Impact factor: 4.285

9.  Identification of genes involved in apoptosis and dominant follicle development during follicular waves in cattle.

Authors:  A C O Evans; J L H Ireland; M E Winn; P Lonergan; G W Smith; P M Coussens; J J Ireland
Journal:  Biol Reprod       Date:  2004-01-21       Impact factor: 4.285

10.  RNA profiling of cell-free saliva using microarray technology.

Authors:  Y Li; X Zhou; M A R St John; D T W Wong
Journal:  J Dent Res       Date:  2004-03       Impact factor: 6.116

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  11 in total

1.  Kisspeptin Influences the Reproductive Axis and Circulating Levels of microRNAs in Senegalese Sole.

Authors:  Catarina C V Oliveira; Elvira Fatsini; Ignacio Fernández; Catarina Anjos; François Chauvigné; Joan Cerdà; Robin Mjelle; Jorge M O Fernandes; Elsa Cabrita
Journal:  Int J Mol Sci       Date:  2020-11-28       Impact factor: 5.923

2.  Transcriptomic Analysis Reveals Functional Interaction of mRNA-lncRNA-miRNA in Steroidogenesis and Spermatogenesis of Gynogenetic Japanese Flounder (Paralichthys olivaceus).

Authors:  Jie Cheng; Fan Yang; Saisai Liu; Haitao Zhao; Wei Lu; Quanqi Zhang
Journal:  Biology (Basel)       Date:  2022-01-28

Review 3.  An Interplay between Epigenetics and Translation in Oocyte Maturation and Embryo Development: Assisted Reproduction Perspective.

Authors:  Michal Dvoran; Lucie Nemcova; Jaroslav Kalous
Journal:  Biomedicines       Date:  2022-07-13

Review 4.  Emerging Roles and Potential Applications of Non-Coding RNAs in Cervical Cancer.

Authors:  Deepak Parashar; Anupam Singh; Saurabh Gupta; Aishwarya Sharma; Manish K Sharma; Kuldeep K Roy; Subhash C Chauhan; Vivek K Kashyap
Journal:  Genes (Basel)       Date:  2022-07-15       Impact factor: 4.141

5.  Whole Transcriptome Analysis: Implication to Estrous Cycle Regulation.

Authors:  Xiaopeng An; Yue Zhang; Fu Li; Zhanhang Wang; Shaohua Yang; Binyun Cao
Journal:  Biology (Basel)       Date:  2021-05-25

6.  CircRNA Role and circRNA-Dependent Network (ceRNET) in Asthenozoospermia.

Authors:  Francesco Manfrevola; Teresa Chioccarelli; Gilda Cobellis; Silvia Fasano; Bruno Ferraro; Carolina Sellitto; Giovanni Marella; Riccardo Pierantoni; Rosanna Chianese
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-10       Impact factor: 5.555

7.  Effect of low sperm quality on progeny: a study on zebrafish as model species.

Authors:  Marta F Riesco; David G Valcarce; Juan Manuel Martínez-Vázquez; Vanesa Robles
Journal:  Sci Rep       Date:  2019-08-01       Impact factor: 4.379

8.  Non-coding RNAs, a real Next-Gen Class of Biomarkers?

Authors:  Chiara Borga; Syed M Meeran; Matteo Fassan
Journal:  Noncoding RNA Res       Date:  2019-10-17

Review 9.  Roles of Noncoding RNA in Reproduction.

Authors:  Chaofan He; Kaixian Wang; Yuanyuan Gao; Chen Wang; Leina Li; Yaping Liao; Ke Hu; Meng Liang
Journal:  Front Genet       Date:  2021-12-09       Impact factor: 4.599

Review 10.  Long Noncoding RNAs: Recent Insights into Their Role in Male Infertility and Their Potential as Biomarkers and Therapeutic Targets.

Authors:  Shanjiang Zhao; Nuo Heng; Bahlibi Weldegebriall Sahlu; Huan Wang; Huabin Zhu
Journal:  Int J Mol Sci       Date:  2021-12-18       Impact factor: 5.923

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