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. 2019 Nov 12;19(1):53–60. doi: 10.3892/etm.2019.8184

MicroRNA-30d-5p promotes ovarian granulosa cell apoptosis by targeting Smad2

Miaomiao Yu 1, Jinxia Liu 1,✉
PMCID: PMC6909529  PMID: 31853272

Abstract

Polycystic ovarian syndrome (PCOS) is one of the leading causes of female infertility. MicroRNA-30d-5p (miR-30d-5p) has been reported to be significantly increased during follicle stimulating hormone (FSH)-mediated progesterone secretion of cultured granulosa cells. However, its role in the proliferation and apoptosis of ovarian granulosa cells is unclear. The present study aimed to investigate the role of miR-30d-5p in the proliferation and apoptosis of ovarian granulosa cells. Bioinformatic analysis and dual-luciferase reporter assay were used to predict and confirm the direct target of miR-30d-5p. The levels of miR-30d-5p were detected via reverse transcription-quantitative PCR (RT-qPCR), cell proliferation was detected via an MTT assay and cell apoptosis was measured via flow cytometry. The levels of phosphorylated (p)-Smad2, Smad2, p-Smad3 and Smad3 were detected by performing a western blot assay or RT-qPCR. In the present results, Smad2 was identified as the direct and functional target of miR-30d-5p. Compared with the control and control plasmid groups, the Smad2 plasmid significantly enhanced Smad2 mRNA levels in rat ovarian granulosa cells, enhanced rat ovarian granulosa cell viability and reduced cell apoptosis. In addition, the results demonstrated that overexpression of miR-30d-5p significantly decreased the level of Smad2, the effect of which was reversed by the Smad2-plasmid. Furthermore, it was demonstrated that the enhanced expression of miR-30d-5p significantly inhibited ovarian granulosa cell proliferation and promoted cell apoptosis. Restoration of Smad2 reversed the effect of miR-30d-5p on ovarian granulosa cell proliferation and apoptosis. Transfection with miR-30d-5p mimics significantly decreased the expression of Smad2 and increased the relative p-Smad2/Smad2 and p-Smad3/Smad3 levels in ovarian granulosa cells, which was reversed by overexpressing Smad2. The present study demonstrated that the overexpression of miR-30d-5p reduced proliferation and induced the apoptosis of granulosa cells by targeting Smad2. The molecular mechanism of ovarian granulosa cell apoptosis may therefore be explained by the newly identified miR-30d-5p/Smad2 axis, which represents a novel potential treatment target for PCOS.

Keywords: polycystic ovary syndrome, microRNA-30d, Smad family member 2, apoptosis

Introduction

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age and is the leading cause of female infertility (1). Although the clinical and biochemical characteristics of PCOS are heterogeneous, abnormal folliculogenesis is still considered an important clinical feature of PCOS (2). During follicular development, a large number of follicles undergo atresia, a process tightly controlled by the fine balance between survival and apoptotic factors (3,4). The process is also regulated by endocrine, autocrine and paracrine factors (5). Normal follicle development depends on the balance between proliferation and apoptosis. Alterations in the ovarian microenvironment that present follicular cysts could alter the normal processes of ovarian cell proliferation and programmed cell death leading to a variety of fertility problems including PCOS (6,7). It has been speculated that abnormal folliculogenesis and degeneration of the granulosa cell layers is caused by the abnormal proliferation and/or apoptosis of follicular granulosa cells, resulting in failure in further development (8,9). However, the mechanism underlying abnormal folliculogenesis is not fully understood.

MicroRNAs (miRNAs) are highly conserved, ~18–25 nucleotide non-coding RNA molecules that post-transcriptionally regulate mRNA expression by binding to their 3′untranslated regions (UTRs) (10). miRNAs have been implicated in various biological and cellular processes including cell proliferation, differentiation and apoptosis (11,12). Evidence has demonstrated that certain miRNAs are involved in the regulation of ovarian granulosa cell proliferation and apoptosis (13,14). miR-30d-5p has been studied in several cancers including cervical cancer, non-small cell lung cancer, prostate cancer, gallbladder carcinoma and human colon cancer (15–19). miR-30d-5p has also been reported to serve critical roles in acute ischemic stroke-induced, autophagy-mediated brain injury (20). A previous study reported that miR-30d-5p is significantly increased during follicle stimulating hormone (FSH)-mediated progesterone secretion of cultured granulosa cells (21). However, the effect of miR-30d-5p on ovarian granulosa cell apoptosis and its potential mechanism has not been fully elucidated.

The transforming growth factor-β signaling pathway participates in various cellular processes, including cell growth, differentiation, apoptosis and homeostasis, and is mediated by a complex of membrane-bound type I and type II receptors with Smad proteins functioning as intracellular mediators (22,23). Smad2 belongs to the receptor-activated Smad family and it serves a key role in regulating cell proliferation and apoptosis (24). Abnormal proliferation and/or apoptosis in granulosa cells have an important role in PCOS (8,9). Therefore, Smad2 may be crucial to PCOS. To the best of our knowledge, the role of Smad2 in POCS remains largely unclear with the relationship between miR-30d-5p and Smad2 being unknown.

The present study investigated the role of miR-30d-5p in ovarian granulosa cell proliferation and apoptosis to elucidate the underlying molecular mechanisms and to reveal the role of miR-30d-5p in PCOS. The results of this study indicated that miR-30d-5p may be a new therapeutic target for the treatment of PCOS.

Materials and methods

Cell culture

Rat ovarian granulosa cells (cat. no. CC-R050) were purchased from Shanghai Mingjin Biotechnology Co., Ltd. Rat granulosa cells were then cultured in DMEM/Ham's nutrient mixture F-12 medium (Gibco; Thermo Fisher Scientific, Inc.) containing 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) and 100 U/ml penicillin and 100 mg/ml streptomycin (Gibco; Thermo Fisher Scientific, Inc.) in a humidified atmosphere containing 5% CO2 at 37°C.

Cell transfection

miR-30d-5p mimic (cat. no. miR10000461-1-5) or the negative control (NC) of the miR-30d-5p mimic (NC scrambled miR-30d-5p mimic; cat. no. miR01201-1-5) were purchased from Guangzhou RiboBio Co., Ltd. Rat ovarian granulosa cells (5×104 cells per well) were cultured in six-well plates overnight at 37°C prior to transfection. Cells were then transfected with 1 µg Smad2-plasmid (cat. no. sc-421525-ACT; Santa Cruz Biotechnology, Inc.), 1 µg control plasmid (cat. no. sc-437275; Santa Cruz Biotechnology, Inc.), 100 nM miR-30d-5p mimics, 100 nM NC miR-30d-5p mimics, 100 nM miR-30d-5p mimics + 1 µg control plasmid (Mimics + plasmid) or 100 nM miR-30d-5p mimics + 1 µg Smad2-plasmid (Mimics + Smad2 plasmid) using Lipofectamine™ 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Following 48-h of incubation at 37°C, the transfection efficiency was detected by reverse transcription-quantitative PCR (RT-qPCR).

RNA isolation and RT-qPCR

Following transfection as previously described, total RNA from rat granulosa cells (24-well plates at a density of 2×105 cells per well) were extracted using TRIzol® (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Total RNA was quantified using a NanoDrop-1000 spectrophotometer (Thermo Fisher Scientific, Inc.). RNA was reverse transcribed into cDNA using PrimeScript RT reagent kit (Takara Bio, Inc.) according to the manufacturer's protocol. The following reverse transcription conditions were used: Initial denaturation at 37°C for 15 min, followed by 85°C for 5 sec and 4°C for 5 min. The relative expression of miRNAs were determined using TaqMan miRNA assay (Thermo Fisher Scientific, Inc.) on an ABI 7500 Fast Instrument (Applied Biosystems; Thermo Fisher Scientific, Inc.). The following thermocycling conditions were used for this qPCR: Initial denaturation at 95°C for 15 min, followed by 40 cycles at 95°C for 10 sec and at 60°C for 60 sec. The relative levels of mRNA were quantified using the SYBR Premix Ex Taq (Takara Bio, Inc.) according to the manufacturer's protocol. The following thermocycling conditions were used for this qPCR: Initial denaturation at 95°C for 3 min, followed by 40 cycles at 95°C for 5 sec and at 60°C for 30 sec. β-actin and U6 were used for mRNA and miRNA normalization, respectively. The primers utilized were as follows: miR-30d-5p forward, 5′-CCTGTTGGTGCACTTCCTAC-3′ and reverse, 5′-TGCAGTAGTTCTCCAGCTGC-3′; Smad2 forward, 5′-GTTCCTGCCTTTGCTGAGAC-3′ and reverse, 5′-TTCTCTTTGCCAGGAATGCT-3′; Smad3 forward, 5′-GGAGGAGAAATGGTGCGAGAA-3′ and reverse, 5′-GCCACAGGCGGCAGTAGAT-3′; β-actin forward, 5′-CGAGCGTGGCTACAGCTTC-3′ and reverse, 5′-GTCACGCACGATTTCCCTCT-3′; and U6 forward, 5′-ATGACGTCTGCCTTGGAGAAC-3′ and reverse, 5′-TCAGTGTGCTACGGAGTTCAG-3′. Relative gene expression was quantified using the 2−ΔΔCq method (25). Experiments were repeated in triplicate.

Dual-luciferase reporter assay

TargetScan (http://www.targetscan.org/vert_71/) was used to predict the potential target genes of miR-30d-5p. The results identified binding sites between miR-30d-5p and Smad2. A luciferase reporter assay was subsequently performed to confirm the binding sites between miR-30d-5p and Smad2 3′UTR. The 3′UTR of Smad2 containing the miR-30d-5p putative wild-type (WT) and mutant (MUT) binding site were cloned into the psiCHECK-2 luciferase reporter vector (Promega Corporation). Rat granulosa cells were plated (5×104 per well) in 24-well plates and co-transfected with miR-30d-5p mimic or NC and psiCHECK-2-Smad2-3′UTR-WT or psiCHECK-2- Smad2-3′UTR-MUT using Lipofectamine™ 2000 (Invitrogen; Thermo Fisher Scientific, Inc.). Following 48 h of incubation at 37°C, the luciferase activity was measured using a dual-luciferase reporter assay system (Promega Corporation). Renilla luciferase activity was used as an internal control. Experiments were repeated in triplicate.

Western blot analysis

Following transfection as previously described, total protein samples were extracted from rat granulosa cells (6-well plates at a density of 4×105 cells per well) following transfection as previously described using RIPA lysis buffer (Gibco; Thermo Fisher Scientific, Inc.) containing phenylmethylsulfonyl fluoride (Beyotime Institute of Biotechnology) and phosphatase inhibitor cocktail (cat. no. ab201112; Abcam). Protein concentrations were determined using the bicinchoninic acid method. An equal quantity of protein (40 µg) obtained from cell lysates were separated via 10% SDS-PAGE gel and then electrophoretically transferred onto PVDF membranes (Immobilon; EMD Millipore). The membranes were blocked with 5% non-fat dry milk for 1 h at room temperature, and incubated with the following primary antibodies overnight at 4°C: Phosphorylated (p)-Smad2 (cat. no. 18338; 1:1,000; Cell Signaling Technology, Inc.), Smad2 (cat. no. 8685; 1:1,000; Cell Signaling Technology, Inc.), p-Smad3 (cat. no. 9520; 1:1,000; Cell Signaling Technology, Inc.), Smad3 (cat. no. 9523; 1:1,000; Cell Signaling Technology, Inc.) and β-actin (cat. no. 4970; 1:1,000; Cell Signaling Technology, Inc.). Membranes were then further incubated with horseradish peroxidase-conjugated secondary antibodies (cat. no. 7074; 1:1,000; Cell Signaling Technology, Inc.) at room temperature for 1 h. Proteins bands were visualized using an enhanced chemiluminescence kit (Pierce; Thermo Fisher Scientific, Inc.) and quantified using ImageJ software (version 1.8.0; National Institutes of Health). Experiments were repeated for three times.

MTT assay

Rat granulosa cells were seeded into 96-well plate at 1×104 cells per well and cultured for 24 h at 37°C. Cells were then transfected as previously described for 12, 24 or 48 h. Cells were incubated with 20 µl MTT (5 mg/ml; Sigma-Aldrich; Merck KGaA) for 4 h at 37°C, after which the DMEM/Ham's nutrient mixture F-12 medium was replaced with 150 µl DMSO to dissolve the purple formazan product. The optical density at a wavelength of 490 nm was recorded using a microplate reader (Multiskan FC; Thermo Fisher Scientific, Inc.). Experiments were repeated in triplicate.

Flow cytometry analysis

An Annexin V-FITC/propidium iodide (PI) apoptosis detection kit (Abcam) was used to evaluate cell apoptosis. Following 48 h of transfection, rat granulosa cells were collected and washed with cold PBS, after which cells were treated with 0.25% trypsin to digest the cells. Cell pellets were collected, centrifuged with 1,000 × g for 5 min at 20°C and suspended in PBS. Subsequently, the supernatant was discarded and re-suspended with a binding buffer containing Annexin V-FITC and PI for 15 min in the dark at room temperature. Flow cytometry (FACSCalibur; BD Biosciences) was used to evaluate cell apoptotic rate and the data was analyzed using FlowJo software (version 7.6.1; FlowJo LLC). Experiments were repeated in triplicate.

Statistical analysis

Statistical analysis was performed using SPSS 13.0 statistical software (SPSS, Inc.). Data were presented as mean ± standard deviation of three independent experiments. A Student's t-test was used to compare the differences between two groups. One-way ANOVA followed by Tukey's post hoc test was used to analyze the differences between more than two groups. P<0.05 was considered to indicate a statistically significant difference.

Results

Smad2 is a target gene of miR-30d-5p

Bioinformatics analysis predicted that miR-30d-5p had hundreds of potential target genes including Smad2 (Fig. 1A). To confirm the relationship between miR-30d-5p and Smad2, dual-luciferase reporter assay was performed. As presented in Fig. 1B, the luciferase activity of the miR-30d-5p mimic group following transfection with the WT-Smad2 3′-UTR luciferase reporter vector was significantly decreased compared with the NC group, whilst there was no significant difference in miR-30d-5p mimics group transfected with MUT-Smad2 3′-UTR luciferase reporter vector compared with the NC group. The results indicated that Smad2 was the target gene of miR-30d-5p.

Figure 1.

Figure 1.

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Targeting relationship between miR-30d-5p and Smad2. (A) TargetScan was used to predict binding sites between miR-30d-5p and Smad2. (B) Dual luciferase reporter gene assay was used to detect the targeting relationship between miR-30d-5p and Smad2. Data are presented as the mean ± standard deviation. **P<0.01 vs. NC group. miR, microRNA; NC, negative control; UTR, untranslated region; WT, wild-type.

Smad2 overexpression reduces apoptosis and increases the viability of rat ovarian granulosa cells

The effect of Smad2 overexpression on rat ovarian granulosa cell viability and apoptosis was investigated. Rat ovarian granulosa cells were transfected with Smad2 plasmid or control-plasmid for 48 h. RT-qPCR was then performed to detect transfection efficiency. It was determined that, compared with the control group, the Smad2 plasmid significantly enhanced Smad2 mRNA levels in rat ovarian granulosa cells (Fig. 2A). Further analysis indicated that when compared with the control and control plasmid group, the Smad2 plasmid significantly enhanced rat ovarian granulosa cell viability (Fig. 2B) and reduced cell apoptosis (Fig. 2C).

Figure 2.

Figure 2.

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Effect of Smad2 overexpression on rat ovarian granulosa cells. (A) Rat ovarian granulosa cells were transfected with the Smad2 plasmid or control-plasmid for 48 h. Subsequently, reverse transcription-quantitative PCR was performed to detect the mRNA level of Smad2 in rat ovarian granulosa cells. (B) an MTT assay was performed to detect cell proliferation and (C) flow cytometry was used to determine cell apoptosis. Data are presented as the mean ± standard deviation. **P<0.01 vs. control group, ##P<0.05 vs. control-plasmid group. PI, propidium iodide; miR, microRNA; NC, negative control.

miR-30d-5p decreases the viability of rat ovarian granulosa cells by targeting Smad2

To further confirm whether Smad2 was involved with miR-30d-5p in ovarian granulosa cells, rat ovarian granulosa cells were transfected with miR-30d-5p mimics, NCs, miR-30d-5p mimics + control plasmid or miR-30d-5p mimics + Smad2-plasmid for 48 h. After transfection with miR-30d-5p mimics for 48 h, transfection efficiency was detected via RT-qPCR, where the level of miR-30d-5p significantly increased compared with the NC group (Fig. 3A). In addition, it was determined that miR-30d-5p mimics significantly reduced the level of Smad2 mRNA in rat ovarian granulosa cells compared with the NC group. This decrease was also significantly reversed following Smad2-plasmid co-transfection (Fig. 3B). The viability of ovarian granulosa cells was examined to confirm the biological role of miR-30d-5p in ovarian granulosa cells. An MTT assay demonstrated that following transfection with miR-30d-5p mimics, rat ovarian granulosa cell viability was markedly decreased compared with the NC group. This decrease was reversed following transfection with the Smad2-plasmid (Fig. 3C). The results indicated that overexpression of Smad2 reversed the effects of miR-30d-5p on ovarian granulosa cell proliferation.

Figure 3.

Figure 3.

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Effect of miR-30d-5p overexpression on proliferation of rat granulosa cells. Rat granulosa cells were transfected with miR-30d-5p mimic, NC, miR-30d-5p mimic + control plasmid or miR-30d-5p mimic + Smad2 plasmid. Reverse transcription-quantitative PCR was then performed to detect the expression of (A) miR-30d-5p and (B) Smad2. (C) An MTT assay was performed to detect the proliferation of rat granulosa cells. Data are presented as the mean ± standard deviation. **P<0.01 vs. NC group; ##P<0.01 vs. miR-30d-5p mimics group. miR, microRNA; NC, negative control; OD, optical density.

miR-30d-5p promotes the apoptosis of rat ovarian granulosa cells by targeting Smad2

Flow cytometry results demonstrated that the apoptotic rate of the miR-30d-5p mimics group was significantly increased compared with the control group (Fig. 4). The apoptotic rate of the miR-30d-5p mimic + Smad2 plasmid group was significantly lower compared with the miR-30d-5p mimics transfection group (Fig. 4). These results indicated that overexpression of Smad2 reversed the effects of miR-30d-5p on ovarian granulosa cell apoptosis.

Figure 4.

Figure 4.

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Effect of miR-30d-5p overexpression on apoptosis of rat granulosa cells. Rat granulosa cells were transfected with miR-30d-5p mimic, NC, miR-30d-5p mimic + control plasmid or miR-30d-5p mimic + Smad2 plasmid. Flow cytometry was subsequently performed to detect the apoptosis of rat granulosa cells. are presented as the mean ± standard deviation. **P<0.01 vs. NC group; ##P<0.01 vs. miR-30d-5p mimics group. miR, microRNA; NC, negative control; PI, propidium iodide.

miR-30d-5p increases the ratio of p-Smad2/Smad2 and p-Smad 3/Smad 3 in rat ovarian granulosa cells

Proliferation can be regulated by the Smad protein pathway (26). As presented in Fig. 5, after transfection with miR-30d-5p mimics, the protein (Fig. 5A and B) and mRNA (Fig. 5D) expression of Smad2 was significantly decreased, whilst the protein (Fig. 5A) and mRNA (Fig. 5E) expression of Smad3 exhibited no significant changes. In addition, the protein expression of the phosphorylated (active) forms of Smad2 and Smad3 (Fig. 5A-C) were markedly increased in rat ovarian granulosa cells following miR-30d-5p mimic transfection. Notably, overexpression of Smad2 reversed the effects of miR-30d-5p on the expression of p-Smad2/Smad2 and p-Smad3/Smad3 in ovarian granulosa cells.

Figure 5.

Figure 5.

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Effect of miR-30d-5p overexpression on p-Smad2/Smad2, p-Smad3/Smad3 expression rat granulosa cells. Rat granulosa cells were transfected with miR-30d-5p mimic, NC, miR-30d-5p mimic + control plasmid or miR-30d-5p mimic + Smad2 plasmids. (A) Western blotting was performed to detect the protein levels of p-Smad2/Smad2 and p-Smad3/Smad3 in rat granulosa cells. (B and C) p-Smad2/Smad2 and p-Smad3/Smad3 ratio was calculated. Reverse transcription-quantitative PCR was then performed to detect the mRNA levels of (D) Smad2 and (E) Smad3 in rat granulosa cells. Data are presented as the mean ± standard deviation. **P<0.01 vs. NC group; ##P<0.01 vs. miR-30d-5p mimics group. miR, microRNA; p, phosphorylated; NC, negative control.

Discussion

PCOS is the most common metabolic and endocrine disease in women of childbearing age, involving multiple factors and a complicated etiology and pathophysiology (1). Researchers have identified that PCOS is associated with disorders of multiple factors regulating the ovaries. miR-30d-5p has been reported to serve important roles in the regulation of cell proliferation, invasion and apoptosis in a variety of tumor cells (27,28). A previous study also reported that miR-30d-5p levels increased during cultured granulosa cell secretion of FSH-mediated progesterone (21), indicating that it may be closely associated with PCOS. In the present study, the results implied that miR-30d-5p might regulate the proliferation and apoptosis of ovarian granulosa cells by targeting Smad2, thus serving an important role in PCOS.

Previous reports have indicated that miRNAs may be involved in the pathogenesis of PCOS (29,30). miR-324-3p levels have also been demonstrated to decrease in the ovaries of PCOS rats (31). Overexpression of miR-324-3p reduces the proliferation and induces the apoptosis of granulosa cells by targeting Wnt family member 2B (31). In addition, it has been revealed that miR-141-3p is markedly decreased in the ovaries of rat PCOS models and that apoptosis is inhibited in rat ovarian granulosa cells by targeting death associated protein kinase 1 (32). A previous study demonstrated that miR-30d-5p is markedly downregulated during cultured granulosa cell secretion of FSH-mediated progesterone (21). As a member of Smad protein family, Smad2 serves a key role in regulating cell proliferation and apoptosis. Abnormal proliferation and/or apoptosis in granulosa cells serves an important role in PCOS (8,9). However, the relationship between miR-30d-5p and Smad2 remains unclear. In the present study, a dual-luciferase reporter assay confirmed that Smad2 was a target gene of miR-30d-5p and that Smad2 overexpression enhanced rat ovarian granulosa cell proliferation and inhibited cell apoptosis. To understand the role of miR-30d-5p in ovarian granulosa cells, samples were transfected with miR-30d-5p mimics. The results demonstrated that miR-30d-5p inhibited cell growth and promoted apoptosis, indicating that miR-30d-5p could be involved in the regulation of rat ovarian granulosa cell growth. Furthermore, Smad2 plasmid co-transfection reversed all the inhibitory effects of miR-30d-5p on rat ovarian granulosa cell viability and apoptosis.

Previous studies have reported that the endometrium of women with PCOS exhibits decreases in the inhibitory activity of the cell cycle from the G1 to S phase via the action of the Smad protein, thereby inducing cell cycle progression (33,34). Smad proteins constitute regulatory molecules of cellular proliferation and apoptosis (35). To better understand the mechanisms of miR-30d-5p used in the regulation of ovarian granulosa cell survival, the participation of the Smad pathway was evaluated in the present study. The results demonstrated that the levels of Smad 2 significantly decreased, whilst the p-Smad2 and p-Smad3 protein levels in the miR-30d-5p mimic group markedly increased when compared with the control group. Additionally, these effects could be reversed by Smad2 overexpression. The deregulation of Smad2 proteins may be associated with the miR-30d-5p-induced apoptosis of ovarian granulosa cells. However, further studies are required to understand the role of miR-30d-5p and Smad2 in the pathogenesis of PCOS.

In conclusion, the present results indicated that Smad2 was a direct target of miR-30d-5p. miR-30d-5p was also determined to promote ovarian granulosa cells apoptosis by targeting Smad2. The results of this study indicated that miR-30d-5p may be a new therapeutic target for PCOS treatment.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

MY wrote the manuscript and analyzed and interpreted the data. JL designed the study and revised the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

  • 1.Norman RJ, Dewailly D, Legro RS, Hickey TE. Polycystic ovary syndrome. Lancet. 2007;370:685–697. doi: 10.1016/S0140-6736(07)61345-2. [DOI] [PubMed] [Google Scholar]
  • 2.Fux Otta C, Fiol de Cuneo M, Szafryk de Mereshian P. Polycystic ovary syndrome: Physiopathology review. Rev Fac Cien Med Univ Nac Cordoba. 2013;70:27–30. (In Spanish) [PubMed] [Google Scholar]
  • 3.McGee EA, Hsueh AJ. Initial and cyclic recruitment of ovarian follicles. Endocr Rev. 2000;21:200–214. doi: 10.1210/er.21.2.200. [DOI] [PubMed] [Google Scholar]
  • 4.Craig J, Orisaka M, Wang H, Orisaka S, Thompson W, Zhu C, Kotsuji F, Tsang BK. Gonadotropin and intra-ovarian signals regulating follicle development and atresia: The delicate balance between life and death. Front Biosci. 2007;12:3628–3639. doi: 10.2741/2339. [DOI] [PubMed] [Google Scholar]
  • 5.Hsueh AJ, Kawamura K, Cheng Y, Fauser BC. Intraovarian control of early folliculogenesis. Endocr Rev. 2015;36:1–24. doi: 10.1210/er.2014-1020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.de Melo AS, Dias SV, Cavalli Rde C, Cardoso VC, Bettiol H, Barbieri MA, Ferriani RA, Vieira CS. Pathogenesis of polycystic ovary syndrome: Multifactorial assessment from the foetal stage to menopause. Reproduction. 2015;150:R11–R24. doi: 10.1530/REP-14-0499. [DOI] [PubMed] [Google Scholar]
  • 7.Qiao J, Feng HL. Extra- and intra-ovarian factors in polycystic ovary syndrome: Impact on oocyte maturation and embryo developmental competence. Hum Reprod Update. 2011;17:17–33. doi: 10.1093/humupd/dmq032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Onalan G, Selam B, Baran Y, Cincik M, Onalan R, Gündüz U, Ural AU, Pabuccu R. Serum and follicular fluid levels of soluble Fas, soluble Fas ligand and apoptosis of luteinized granulosa cells in PCOS patients undergoing IVF. Hum Reprod. 2005;20:2391–2395. doi: 10.1093/humrep/dei068. [DOI] [PubMed] [Google Scholar]
  • 9.Shalev E, Goldman S, Ben-Shlomo I. The balance between MMP-9 and MMP-2 and their tissue inhibitor (TIMP)-1 in luteinized granulosa cells: Comparison between women with PCOS and normal ovulatory women. Mol Hum Reprod. 2001;7:325–331. doi: 10.1093/molehr/7.4.325. [DOI] [PubMed] [Google Scholar]
  • 10.Krol J, Loedige I, Filipowicz W. The widespread regulation of microRNA biogenesis, function and decay. Nat Rev Genet. 2010;11:597–610. doi: 10.1038/nrg2843. [DOI] [PubMed] [Google Scholar]
  • 11.Wang Y, Lee CG. MicroRNA and cancer-focus on apoptosis. J Cell Mol Med. 2009;13:12–23. doi: 10.1111/j.1582-4934.2008.00510.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bueno MJ, Pérez de Castro I, Malumbres M. Control of cell proliferation pathways by microRNAs. Cell Cycle. 2008;7:3143–3148. doi: 10.4161/cc.7.20.6833. [DOI] [PubMed] [Google Scholar]
  • 13.Carletti MZ, Fiedler SD, Christenson LK. MicroRNA 21 blocks apoptosis in mouse periovulatory granulosa cells. Biol Reprod. 2010;83:286–295. doi: 10.1095/biolreprod.109.081448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yao G, Yin M, Lian J, Tian H, Liu L, Li X, Sun F. MicroRNA-224 is involved in transforming growth factor-beta-mediated mouse granulosa cell proliferation and granulosa cell function by targeting Smad4. Mol Endocrinol. 2010;24:540–551. doi: 10.1210/me.2009-0432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zheng M, Hou L, Ma Y, Zhou L, Wang F, Cheng B, Wang W, Lu B, Liu P, Lu W, Lu Y. Exosomal let-7d-3p and miR-30d-5p as diagnostic biomarkers for non-invasive screening of cervical cancer and its precursors. Mol Cancer. 2019;18:76. doi: 10.1186/s12943-019-0999-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hosseini SM, Soltani BM, Tavallaei M, Mowla SJ, Tafsiri E, Bagheri A, Khorshid HRK. Clinically significant dysregulation of hsa-miR-30d-5p and hsa-let-7b expression in patients with surgically resected non-small cell lung cancer. Avicenna J Med Biotechnol. 2018;10:98–104. [PMC free article] [PubMed] [Google Scholar]
  • 17.Song Y, Song C, Yang S. Tumor-suppressive function of miR-30d-5p in prostate cancer cell proliferation and migration by targeting NT5E. Cancer Biother Radiopharm. 2018;33:203–211. doi: 10.1089/cbr.2018.2457. [DOI] [PubMed] [Google Scholar]
  • 18.He Y, Chen X, Yu Y, Li J, Hu Q, Xue C, Chen J, Shen S, Luo Y, Ren F, et al. LDHA is a direct target of miR-30d-5p and contributes to aggressive progression of gallbladder carcinoma. Mol Carcinog. 2018;57:772–783. doi: 10.1002/mc.22799. [DOI] [PubMed] [Google Scholar]
  • 19.Yu X, Zhao J, He Y. Long non-coding RNA PVT1 functions as an oncogene in human colon cancer through miR-30d-5p/RUNX2 axis. J BUON. 2018;23:48–54. [PubMed] [Google Scholar]
  • 20.Jiang M, Wang H, Jin M, Yang X, Ji H, Jiang Y, Zhang H, Wu F, Wu G, Lai X, et al. Exosomes from MiR-30d-5p-ADSCs reverse acute ischemic stroke-induced, autophagy-mediated brain injury by promoting M2 microglial/macrophage polarization. Cell Physiol Biochem. 2018;47:864–878. doi: 10.1159/000490078. [DOI] [PubMed] [Google Scholar]
  • 21.Yao N, Yang BQ, Liu Y, Tan XY, Lu CL, Yuan XH, Ma X. Follicle-stimulating hormone regulation of microRNA expression on progesterone production in cultured rat granulosa cells. Endocrine. 2010;38:158–166. doi: 10.1007/s12020-010-9345-1. [DOI] [PubMed] [Google Scholar]
  • 22.Massagué J. G1 cell-cycle control and cancer. Nature. 2004;432:298–306. doi: 10.1038/nature03094. [DOI] [PubMed] [Google Scholar]
  • 23.Mishra L, Derynck R, Mishra B. Transforming growth factor-beta signaling in stem cells and cancer. Science. 2005;310:68–71. doi: 10.1126/science.1118389. [DOI] [PubMed] [Google Scholar]
  • 24.Syed V. TGF-β signaling in cancer. J Cell Biochem. 2016;117:1279–1287. doi: 10.1002/jcb.25496. [DOI] [PubMed] [Google Scholar]
  • 25.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  • 26.Meran S, Luo DD, Simpson R, Martin J, Wells A, Steadman R, Phillips AO. Hyaluronan facilitates transforming growth factor-β1-dependent proliferation via CD44 and epidermal growth factor receptor interaction. J Biol Chem. 2011;286:17618–17630. doi: 10.1074/jbc.M111.226563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ye C, Yu X, Liu X, Dai M, Zhang B. miR-30d inhibits cell biological progression of Ewing's sarcoma by suppressing the MEK/ERK and PI3K/Akt pathways in vitro. Oncol Lett. 2018;15:4390–4396. doi: 10.3892/ol.2018.7900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Yao J, Liang L, Huang S, Ding J, Tan N, Zhao Y, Yan M, Ge C, Zhang Z, Chen T, et al. MicroRNA-30d promotes tumor invasion and metastasis by targeting Galphai2 in hepatocellular carcinoma. Hepatology. 2010;51:846–856. doi: 10.1002/hep.23443. [DOI] [PubMed] [Google Scholar]
  • 29.Hossain MM, Cao M, Wang Q, Kim JY, Schellander K, Tesfaye D, Tsang BK. Altered expression of miRNAs in a dihydrotestosterone-induced rat PCOS model. J Ovarian Res. 2013;6:36. doi: 10.1186/1757-2215-6-36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Roth LW, McCallie B, Alvero R, Schoolcraft WB, Minjarez D, Katz-Jaffe MG. Altered microRNA and gene expression in the follicular fluid of women with polycystic ovary syndrome. J Assist Reprod Genet. 2014;31:355–362. doi: 10.1007/s10815-013-0161-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Jiang YC, Ma JX. The role of MiR-324-3p in polycystic ovary syndrome (PCOS) via targeting WNT2B. Eur Rev Med Pharmacol Sci. 2018;22:3286–3293. doi: 10.26355/eurrev_201806_15147. [DOI] [PubMed] [Google Scholar]
  • 32.Li D, Xu D, Xu Y, Chen L, Li C, Dai X, Zhang L, Zheng L. MicroRNA-141-3p targets DAPK1 and inhibits apoptosis in rat ovarian granulosa cells. Cell Biochem Funct. 2017;35:197–201. doi: 10.1002/cbf.3248. [DOI] [PubMed] [Google Scholar]
  • 33.Chen C, Sun MZ, Liu S, Yeh D, Yu L, Song Y, Gong L, Hao L, Hu J, Shao S. Smad4 mediates malignant behaviors of human ovarian carcinoma cell through the effect on expressions of E-cadherin, plasminogen activator inhibitor-1 and VEGF. BMB Rep. 2010;43:554–560. doi: 10.5483/BMBRep.2010.43.8.554. [DOI] [PubMed] [Google Scholar]
  • 34.Goto N, Hiyoshi H, Ito I, Tsuchiya M, Nakajima Y, Yanagisawa J. Estrogen and antiestrogens alter breast cancer invasiveness by modulating the transforming growth factor-β signaling pathway. Cancer Sci. 2011;102:1501–1508. doi: 10.1111/j.1349-7006.2011.01977.x. [DOI] [PubMed] [Google Scholar]
  • 35.Bacallao K, Plaza-Parrochia F, Cerda A, Gabler F, Romero C, Vantman D, Vega M. Levels of regulatory proteins associated with cell proliferation in endometria from untreated patients having polycystic ovarian syndrome with and without endometrial hyperplasia. Reprod Sci. 2016;23:211–218. doi: 10.1177/1933719115597762. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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