Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol., 05 April 2022
Sec. Reproduction

Thada Is Dispensable for Female Fertility in Mice

  • 1Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China
  • 2Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China

Genome-wide association studies (GWAS) have identified THADA as one of the susceptibility genes for polycystic ovary syndrome (PCOS). Single nucleotide polymorphisms (SNPs) in the THADA gene showed significant over-transmission in PCOS and strong correlations with testosterone level. However, there was insufficient evidence to verify the effect of THADA in vivo on female reproductive system. In this study, we investigated the impacts of Thada ablation on ovarian function and reproductive outcomes with knockout (KO) mice. The results showed that the Thada deletion was insufficient to affect ovarian folliculogenesis, steroidogenesis, and female fertility. Additionally, we stressed the mice with high-fat-high-sugar diet (HFHS). In this case, the KO mice still merely had a negligible impact on ovarian function. These findings indicated that Thada deficiency was dispensable for female fertility in mice, which enriched our knowledge about in vivo functions of PCOS susceptibility genes.

Introduction

Polycystic ovary syndrome, the most common endocrine disorder in reproductive aged women, is characterized by hyperandrogenism, oligomenorrhoea, amenorrhea, and polycystic ovaries (PCOM), combined with multiple metabolic abnormalities (1). PCOS is currently considered as a multifactorial disease affected by environmental and polygenic factors (2). Although environmental triggers have been generalized researched, specific environmental exposures still hardly explain the widespread global prevalence and the familial inheritance of PCOS (3). For this reason, the important role of genetic factors has received considerable attention, despite the difficulty of research process. Benefiting from the sophistication of GWAS technology, multiple PCOS genetic susceptibility loci have been identified. Our group firstly reported the 11 PCOS association loci in Han Chinese, many of which were replicated in European and American population (4, 5). Of the loci consistently present in the different GWAS reports, the one with the strongest association mapped to the genomic region of THADA. In addition, a series of recent researches have demonstrated THADA carried risk alleles associated with reproductive endocrine disturbances in PCOS patients. Using a recessive model, Cui et al. found that the SNPs in THADA were associated with increased testosterone (T) levels in subjects with PCOS (6). Besides that, SNP rs13429458, in the THADA gene, showed over transmission in Han Chinese PCOS cases (7). It is proposed that THADA might participate in the occurrence and development of PCOS.

THADA encodes thyroid adenoma associated protein, which is expressed broadly in various tissues such as thyroid, brain and ovary (8). THADA has been identified as a candidate gene in PCOS for many years and the vast majority of researches calculated the correlation but failed to prove causation. The THADA’s normal physiological functions still remained enigmatous, especially in female reproduction process. There was only one report found that THADA knockout Drosophila were obese and produced less energy (9). To gain insight into the physiological functions of THADA in vivo, we constructed Thada knockout mice and focused on its effects on reproductive system.

Materials and Methods

Animals

We selected exon 8 to exon 11 as target sites to generate the Thada founder mice by the CRISPR-Cas9 technology. We used the heterozygous mutants mice (Thada+/−) intercrossed, and successfully obtained homozygous mice (Thada-/-). Littlermate wild type mice (WT) were included as controls. Genotyping of Thada knockout mice was done by PCR on tail genomic DNA.

All mice described were maintained on the C57BL/6J background. All animals were fed in an ad libitum mode, using a commercial pelleted diet (Beijing Keao Xieli Feed Co.). Mice were housed in groups (5 adult mice per cage) under specific pathogen-free conditions in a temperature controlled room (21-22°C) with a 12 h-12 h light/dark cycle. Beginning at Pnd 21, vaginal opening was monitored daily. Mice used for HFHS experiments were fed with normal chew diet until 8 weeks of age, after which they were maintained on HFHS diet (Research Diet 12451) for another 10 weeks. Female mice were sacrificed between 3 and 6 months.

Estrous Cycle and Fertility Assay

At 8 weeks of age, the estrous cycle of WT and KO mice was identified by vaginal smear once a day for 2 weeks. The percentage of different stages (diestrus, proestrus, estrous, and metestrus) of the estrous cycle was determined and recorded. The fertility measurement of mice started at the age of 8 weeks and lasted for six months. WT and Thada KO female mice were mated with fertile male mice of the same age using a ratio of 2:1 and checked daily for signs of pregnancy. The number of pups per litter and the gender ratio were calculated.

Blood Measurements

Serum samples were collected from mice in basal resting condition during diestrus. After coagulation, the serum samples were extracted after centrifugation 2500rpm for 10min (4°C) and stored at −80°C until used. Serum testosterone, progesterone, and estradiol were measured with radioimmunoassay (Beijing North Institute of Biological Technology).

Ovarian Gonadotropin Stimulation

Thada knockout and wild type mice were first injected intraperitoneally with 7.5 IU of pregnant mare serum gonadotropin (PMSG) and after 44 h with 7.5 IU of human chorionic gonadotropin (hCG) (Ningbo Sansheng Pharmaceutical Co., Ltd., China). Sixteen hours later, animals were sacrificed by decapitation. The cumulus-oocyte-complexes were extracted from the fallopian tubes and the oocytes were counted after hyaluronidase treatment. The mature oocytes were assessed by the extrusion of the first polar body (PB1).

Ovarian Histology and Follicle Counting

Ovaries were fixed overnight with 4% PFA, then dehydrated and embedded in paraffin. For hematoxylin and eosin (H&E) staining, the sections were stained according to standard histological protocols. The images were captured by an inverted microscope.

For follicle counting, the ovaries of normal diet mice were serially sectioned (5μm) and stained with H&E. Every fifth section of each ovary was observed under a microscope. Follicles were classified as healthy or atretic by morphological criteria described previously (10). Atretic preantral follicles consisted of the oocyte that had degenerated with either a disorganized granulosa layer with apoptotic cells (more than 5% of the cells showed apoptosis signs) and/or a hypertrophied theca layer surrounded. Atretic antral follicles were usually present as an intact oocyte, whereas the layer of granulosa cells contained more than 5% apoptotic cells, and the theca layer showed signs of hypertrophy. All kinds of atretic follicles were excluded during the count. Follicles were classified as described previously (11). Only primordial, primary, secondary, and antral follicles were counted when the oocyte with nucleus and nucleolus were present in every fifth section. The adjacent sections were examined, and the follicle with the same nucleus was counted only once during the counting of larger follicles. The number of primordial, primary, secondary, and antral follicles was multiplied by five to estimate the total number of follicles within one ovary. Every tenth section of each ovary was observed to determine the number of corpus luteum. In order to prevent double-counting of corpus luteum, adjacent sections were traced and compared.

RNA Extraction and RT-qPCR Analysis

Genotyping of Thada knockout mice was done by PCR on tail genomic DNA. The primers for PCR genotyping are:

Thada-allele forward primer: 5’-CAGATGGGATACAGAGGCTAGGCG-3’; reverse primer: 5’-AATGACTGGAGATAATTGCTCATGCC-3’;

WT-allele forward primer: 5’-CAGATGGGATACAGAGGCTAGGCG-3’; reverse primer: 5’-CGCACTCTTTCCCACCTGTCTTC-3’.

Ovarian tissues were collected, snap-frozen in liquid nitrogen, and stored at -80°C. Total RNA was extracted with Trizol, 1μg of RNA were reverse transcribed using the PrimeScript RT Reagent Kit (Takara, Shiga, Japan). Real-time PCR was performed using the LightCycler 480 Probes Master kit (Roche Diagnostics, Meylan, France).

Statistical Analysis

The results are presented as the mean ± SEM; each experiment was repeated at least 3 times. The significant differences between groups were calculated by two-tailed unpaired Student’s t-test and Chi-square test. P-value<0.05 was considered significant.

Result

Thada Knockout Mice Have Normal Fertility

To explore the functional role of Thada in vivo, we constructed a Thada global knockout (Thada-/-) mouse model and designed the experiments (Figures 1A, B). Thada was undetectable in ovarian tissues of KO mice at the RNA level, and heterozygotes also resulted in a 50% reduction (Figure 1C). The genotype distribution of offsprings obtained by mating Thada+/- conformed to Mendelian inheritance and the male/female ratio was 1.03 (Figure 1D). This reduction of THADA levels did not affect intrauterine development or sex selection. In addition to this, the development of KO mice appeared normal compared with WT mice from birth to adulthood. There were no significant differences in the body weight at 3 weeks and 8 weeks between WT and KO mice (Figure 1E). The fertility of KO and WT female mice was evaluated. The litter size and the number of males/females per litter were comparable between the two genotypes (Figure 1F). These results suggested that Thada with altered expression did not result in growth retardation or adverse pregnancy outcomes.

FIGURE 1
www.frontiersin.org

Figure 1 Thada knockout mice have normal fertility. (A) The flowchart of experimental design. (B, C). Generation and dentification of Thada knockout mice. Efficiency of knockdown in ovary was determined by qPCR. (D) The genotype distribution and the male/female ratio of offsprings were obtained by mating Thada+/- (n = 211). (E). KO and WT had similar body weights (n = 15-24). (F) WT and KO female mice had the similar litter size (n = 5).

No Detectable Ovarian Dysfunction in KO Mice Fed With Normal Diet

There was a closed association between THADA and hyperandrogenism in previous studies. Therefore, the development and function of the ovary have become essential aspects of our research. The anogenital distance was the evaluation index of hyperandrogenism, and the distances were similar between KO and WT mice (Figure 2A). The vaginal opening was considered a reliable marker for puberty onset. It did not exhibit differences between KO and WT mice (Figure 2B), and the time of appearance of the first estrus was also temporally coincided in KO and WT mice. In addition, the ovarian weights of the two groups were approximately the same (Figure 2C). These results illustrated that KO mice experienced normal pubertal development through early life.

FIGURE 2
www.frontiersin.org

Figure 2 Thada knockout mice did not present ovarian development abnormalities. (A) Anogenital distance (AGD) of 4 week-old mice (n = 4-7). (B) Vaginal opening time was similar between WT and KO mice (n = 4-7). (C) The ovarian weights were no different between WT and KO mice (n=8-10). (D) Estrous cycle profile of WT and KO mice (Proestrus-Estrus P/E), Matestrus M, Diestrus D) (n = 6-9). (E) Hematoxylin-Eosin stained ovaries sections of WT and KO mice, scale bar=200μm. (F) The numers of these follicles at different developmental stages of maturation(n = 3-4).

Impaired ovulation is another common reason for patients to access the clinic. Estrous cycles, follicles development, hormone levels, and ovarian response to gonadotropin stimulation can reflect the function of the ovaries. Compared to WT mice, KO mice showed comparable estrous cyclicity and cycle length, with all phases of the estrous cycle present (Figure 2D). In keeping with WT mice, the ovaries of KO mice exhibited appropriate proportions of follicles at different stages (Figures 2E, F). Despite circulating testosterone levels were mildly elevated in adult KO mice, there was no statistical difference between the two genotypes (Figure 3A). Serum estrogen and progesterone levels of KO mice achieved comparable levels of WT mice, consistent with the results observed in the ovaries (Figures 3B, C). At the same time, we quantified the expression of hormone-related genes and detected no meaningful differences (Figure 3D). After being stimulated by PMSG and hCG, KO mice did not demonstrate alteration in the number of oocytes retrieved or PB1 extrusion rate (Figures 3E, H). The mRNA expression levels of gonadotropin receptors in the ovaries also corroborated the results of the superovulation experiment, with levels of Fshr and Lhcgr not different between the two groups (Figures 3H, I). These results suggested that the ovaries of Thada knockout mice may have normal function. Indeed, despite the THADA SNP rs13429458 being involved in PCOS, investigators did not find significant differences in reproductive indicators, such as serum LH level or FSH level, between genotypes of PCOS patients (12). It demonstrated that the reproductive pathogenicity of a single gene alteration was relatively limited.

FIGURE 3
www.frontiersin.org

Figure 3 Thada knockout mice have normal ovarian function and ovulation. (A–C) Serum levels of testosterone, progesterone and estradiol of adult female WT and KO mice (n = 9-10). (D) qRT-PCR analysis of hormone related genes in ovary (n = 8-9). (E) Morphology ofMII oocytes, where black arrows indicate polar bodies, scale bar=100μm.(n = 4-6) (F) Number of oocytes retrieved after ovarian stimulation. (G) Polar body extrusion rates in oocytes from WT and KO mice at adult stage (n = 4-6). (H, I). mRNA expression of gonadotrophin receptors in ovary(n = 8).

HFHS Could Not Induce Reproductive Dysfunctions in KO Mice

Environmental factors, especially dietary factors, strongly influence PCOS patients. Animal studies also have shown that HFHS diet altered ovarian morphology and even induces the formation of polycystic ovaries (13). We performed HFHS diet induction to observe the reproductive function of Thada knockout mice. After ten weeks of HFHS treatment, the body weight increased in both genotypes, but there was no difference in change between WT and KO groups (Figure 4A). A subset of indicators for evaluating ovarian function was examined, such as serum hormone levels, estrous cyclicity, and ovarian morphology. Despite the period length of each estrous cycle prolonged by HFHS-fed, KO mice still exhibited similar fluctuations compared to the WT (Figures 4B, C). There were no notable differences in hormone levels between the two genotypes in the basal state (Figures 4D–F). Meanwhile, there was little change in ovarian morphology and structure corresponding to hormones (Figure 4G). These results suggested that Thada knockout mice maintain relatively stable ovarian function under metabolic stress.

FIGURE 4
www.frontiersin.org

Figure 4 HFHS could not induce reproductive dysfunctions in KO mice. (A) Body weights were measured for WT and KO mice with normal chow diet or HFHS diet (n = 6-10). (B, C) Estrous cycle profile of WT and KO mice with ten weeks HFHS-fed. WT mice with the normal chow diet were selected as control groups (n = 7-8). (D–F). Serum levels of testosterone, progesterone, and estradiol of HFHS-fed mice (n = 7-8). (G) HE stained histological sections of ovaries, scale bar=200μM. ***P < 0.005.

Discussion

THADA was a promising candidate gene for PCOS in our previous work, but researches on the in vivo function of Thada in mammals were limited reported. Therefore, the Thada knockout mouse model provided an opportunity to explore its function in the female reproductive system. The effect of Thada on fertility and ovarian function was the focus of this study. Prior GWAS evidence suggested that the rate of abortion and the number of oocytes retrieved of patients with the THADA rs12478601 CC genotype increased, but the rate of clinical gestation decreased (14, 15). In genotype-phenotype correlational analysis, the THADA gene contributed to hyperandrogenism in PCOS. However, Thada knockout mice failed to replicate these results obtained in humans. Thada deletion did not lead to abnormal growth and development. The survival rate and bodyweight of KO female mice were at par with WT mice. Thada KO mice could complete puberty at a usual time and had relatively normal fertility in adulthood. Only circulating testosterone level was detected mildly elevated in adult KO mice. The inability of mouse models to explain the correlations found in humans suggested that several vital considerations need addressing when studying the function of risk genes for PCOS.

PCOS is a complex and heterogeneous reproductive endocrine disorder. Therefore, it was not easy to assess the impact of genetic factors on regulating reproductive functions. Earlier studies have established a genetic predisposition in PCOS and several genes involved in ovarian function (1, 16), but none was strong enough to correlate alone with susceptibility to the disease (17, 18). Our results also supported the perspective that the combination of polygenic, epigenetic, and developmental factors determines a person’s susceptibility to PCOS (2). In addition to the limited pathogenicity of genetic factors, THADA may affect different tissues and organs, or even opposed effects, because of its broad expression (19). In evolutionary-related studies, the pathogenic mechanisms underlying PCOS might be candidate factors for survival advantage of the human being (17, 18). THADA may have played a positive role in racial reproduction and adaptability to the environment. Previous reports showed that THADA also affects pancreatic function and thermogenesis (9, 20). It is reasonable to speculate that Thada seemed to play a more crucial role in regulating metabolic homeostasis rather than the reproductive system.

Limitations of the study should also be considered. Caution is required in extrapolating experimental data from one species to another, especially for a highly heterogeneous disease like PCOS (21). The mouse was a type of multiovulatory animal, and its follicle development was significantly different from that of humans (22). In various animal models of PCOS, rhesus or sheep tended to exhibit more pronounced reproductive phenotypes than mice (2325). However, due to technical and other limitations, the mouse remained the preferred animal for studying single-gene function. Another limitation is that while HFHS can impair ovarian function and even exacerbate PCOS progression, HFHS may not be an environmental factor that interacts with THADA or does not directly affect the progeny itself. In a current study, THADA knockout Drosophila were obese, hyperphagic, had reduced energy production, and were sensitive to the cold (9). Therefore, cold stimulation or prenatal exposure to HFHS will be the next step in our research.

Our work further validated the concept that the combination of genetic and nongenetic factors defined a person’s susceptibility to developing PCOS rather than a single genetic alteration. Future studies regarding PCOS susceptibility genes should consider the effects of dietary, inflammatory, stress, and other factors. Thus, many aspects of THADA remained worthy of further investigation, although the knockout mice currently do not show phenotypes in the reproductive system.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The animal study was reviewed and approved by the Animal Ethics Committee of the School of Medicine, Shandong University.

Author Contributions

HZ conceived the project and supervised research. SH and YZha designed the experiments and wrote the manuscript. SH, YZhe, CL, and YJ performed the experiments and analyzed data. SZ constructed the knock mice. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Key Research and Development Program of China (2021YFC2700400, 2021YFC2700701), Basic Science Center Program of NSFC (31988101), National Natural Science Foundation of China(82100839), and China Postdoctoral Science Foundation (2018M640639, 2020T130373).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Dapas M, Dunaif A. The Contribution of Rare Genetic Variants to the Pathogenesis of Polycystic Ovary Syndrome. Curr Opin Endocr Metab Res (2020) 12:26–32. doi: 10.1016/j.coemr.2020.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Risal S, Pei Y, Lu H, Manti M, Fornes R, Pui HP, et al. Prenatal Androgen Exposure and Transgenerational Susceptibility to Polycystic Ovary Syndrome. Nat Med (2019) 25(12):1894–904. doi: 10.1038/s41591-019-0666-1

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Day F, Karaderi T, Jones MR, Meun C, He C, Drong A, et al. Large-Scale Genome-Wide Meta-Analysis of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture for Different Diagnosis Criteria. PloS Genet (2018) 14(12):e1007813. doi: 10.1371/journal.pgen.1007813

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Chen ZJ, Zhao H, He L, Shi Y, Qin Y, Shi Y, et al. Genome-Wide Association Study Identifies Susceptibility Loci for Polycystic Ovary Syndrome on Chromosome 2p16.3, 2p21 and 9q33.3. Nat Genet (2011) 43(1):55–9. doi: 10.1038/ng.732

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Goodarzi MO, Jones MR, Li X, Chua AK, Garcia OA, Chen YI, et al. Replication of Association Ofdennd1a and THADA Variants With Polycystic Ovary Syndrome in European Cohorts. J Med Genet (2012) 49(2):90–5. doi: 10.1136/jmedgenet-2011-100427

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Cui L, Zhao H, Zhang B, Qu Z, Liu J, Liang X, et al. Genotype-Phenotype Correlations of PCOS Susceptibility Snps Identified by GWAS in a Large Cohort of Han Chinese Women. Hum Reprod (2013) 28(2):538–44. doi: 10.1093/humrep/des424

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Park S, Liu M, Zhang T. THADA_Rs13429458 Minor Allele Increases the Risk of Polycystic Ovary Syndrome in Asian, But Not in Caucasian Women: A Systematic Review and Meta-Analysis. Horm. Metab Res (2019) 51(10):661. doi: 10.1055/a-0969-1872

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Thomsen SK, Ceroni A, van de Bunt M, Burrows C, Barrett A, Scharfmann R, et al. Systematic Functional Characterization of Candidate Causal Genes for Type 2 Diabetes Risk Variants. Diabetes (2016) 65(12):3805–11. doi: 10.2337/db16-0361

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Moraru A, Cakan-Akdogan G, Strassburger K, Males M, Mueller S, Jabs M, et al. THADA Regulates the Organismal Balance Between Energy Storage and Heat Production. Dev Cell (2017) 41(4):450. doi: 10.1016/j.devcel.2017.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Slot KA, Kastelijn J, Bachelot A, Kelly PA, Binart N, Teerds KJ. Reduced Recruitment and Survival of Primordial and Growing Follicles in GH Receptor-Deficient Mice. Reproduction (2006) 131(3):525–32. doi: 10.1530/rep.1.00946

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Myers M, Britt KL, Wreford NG, Ebling FJ, Kerr JB. Methods for Quantifying Follicular Numbers Within the Mouse Ovary. Reproduction (2004) 127(5):569–80. doi: 10.1530/rep.1.00095

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ha L, Shi Y, Zhao J, Li T, Chen ZJ. Association Study Between Polycystic Ovarian Syndrome and the Susceptibility Genes Polymorphisms in Hui Chinese Women. PloS One (2015) 10(5):e0126505. doi: 10.1371/journal.pone.0126505

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Roberts JS, Perets RA, Sarfert KS, Bowman JJ, Ozark PA, Whitworth GB, et al. High-Fat High-Sugar Diet Induces Polycystic Ovary Syndrome in a Rodent Model. Biol Reprod (2017) 96(3):551–62. doi: 10.1095/biolreprod.116.142786

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Xia JY, Tian W, Yin GH, Yan H. Association of Rs13405728, Rs12478601, and Rs2479106 Single Nucleotide Polymorphisms and In Vitro Fertilization and Embryo Transfer Efficacy in Patients With Polycystic Ovarian Syndrome: A Case Control Genome-Wide Association Study. Kaohsiung J Med Sci (2019) 35(1):49–55. doi: 10.1002/kjm2.12008

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zhang YJ, Li L, Wang ZJ, Zhang XJ, Zhao H, Zhao Y, et al. Association Study Between Variants in LHCGR DENND1A and THADA With Preeclampsia Risk in Han Chinese Populations. J Matern Fetal Neonatal Med (2018) 32(22)1–5. doi: 10.1080/14767058.2018.1472228

CrossRef Full Text | Google Scholar

16. Zhang Y, Yan Z, Qin Q, Nisenblat V, Chang H, Yu Y, et al. Transcriptome Landscape of Human Folliculogenesis Reveals Oocyte and Granulosa Cell Interactions. Mol Cell (2018) 72(6):1021–34.e4. doi: 10.1016/j.molcel.2018.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Zhao H, Xu X, Xing X, Wang J, He L, Shi Y, et al. Family-Based Analysis of Susceptibility Loci for Polycystic Ovary Syndrome on Chromosome 2p16. 3 2p21 9q33.3 Hum Reprod (2011) 27(1):294–8. doi: 10.1093/humrep/der379

CrossRef Full Text | Google Scholar

18. Ünlütürk U, Sezgin E, Yildiz BO. Evolutionary Determinants of Polycystic Ovary Syndrome: Part 1. Fertil Steril (2016) 106(1):33–41. doi: 10.1016/j.fertnstert.2016.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Tian Y, Li J, Su S, Cao Y, Wang Z, Zhao S, et al. PCOS-GWAS Susceptibility Variants in THADA, INSR, TOX3, and DENND1A are Associated With Metabolic Syndrome or Insulin Resistance in Women With PCOS. Front Endocrinol (2020) 11:274. doi: 10.3389/fendo.2020.00274

CrossRef Full Text | Google Scholar

20. Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, et al. Meta-Analysis of Genome-Wide Association Data and Large-Scale Replication Identifies Additional Susceptibility Loci for Type 2 Diabetes. Nat Genet (2008) 40(5):638–45. doi: 10.1038/ng.120

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Siniscalchi A, Rodi D, Morari M, Marti M, Cavallini S, Marino S, et al. Direct and Indirect Inhibition by Nociceptin/Orphanin FQ on Noradrenaline Release From Rodent Cerebral Cortex In Vitro. Br J Pharmacol (2002) 136(8):1178–84. doi: 10.1038/sj.bjp.0704841

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Stener-Victorin E, Padmanabhan V, Walters KA, Campbell RE, Benrick A, Giacobini P, et al. Animal Models to Understand the Etiology and Pathophysiology of Polycystic Ovary Syndrome. Endocr Rev (2020) 41(4):1–39. doi: 10.1210/endrev/bnaa010

CrossRef Full Text | Google Scholar

23. Ramaswamy S, Grace C, Mattei AA, Siemienowicz K, Brownlee W, MacCallum J, et al. Developmental Programming of Polycystic Ovary Syndrome (PCOS): Prenatal Androgens Establish Pancreatic Islet Alpha/Beta Cell Ratio and Subsequent Insulin Secretion. Sci Rep (2016) 6:27408. doi: 10.1038/srep27408

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Roselli CE, Amodei R, Gribbin KP, Corder K, Stormshak F, Estill CT. Excess Testosterone Exposure Alters Hypothalamic-Pituitary-Testicular Axis Dynamics and Gene Expression in Sheep Fetuses. Endocrinology (2016) 157(11):4234–45. doi: 10.1210/en.2016-1411

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Abbott DH, Barnett DK, Bruns CM, Dumesic DA. Androgen Excess Fetal Programming of Female Reproduction: A Developmental Aetiology for Polycystic Ovary Syndrome? Hum Reprod Update (2005) 11(4):357–74. doi: 10.1093/humupd/dmi013

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: polycystic ovarian syndrome, ovarian function, follicle development, in vivo, THADA

Citation: Han S, Zhang Y, Zheng Y, Liu C, Jiang Y, Zhao S and Zhao H (2022) Thada Is Dispensable for Female Fertility in Mice. Front. Endocrinol. 13:787733. doi: 10.3389/fendo.2022.787733

Received: 04 October 2021; Accepted: 04 March 2022;
Published: 05 April 2022.

Edited by:

Katja Teerds, Wageningen University, Netherlands

Reviewed by:

Katja Hummitzsch, University of Adelaide, Australia
Yanzhi Du, Shanghai Jiao Tong University, China

Copyright © 2022 Han, Zhang, Zheng, Liu, Jiang, Zhao and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Han Zhao, aGFuemg4MEB5YWhvby5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.