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      Candidate genes for polycystic ovary syndrome are regulated by TGFβ in the bovine foetal ovary

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          Abstract

          STUDY QUESTION

          Could changes in transforming growth factor β (TGFβ) signalling during foetal ovary development alter the expression of polycystic ovary syndrome (PCOS) candidate genes leading to a predisposition to PCOS?

          SUMMARY ANSWER

          TGFβ signalling molecules are dynamically expressed during foetal ovary development and TGFβ1 inhibits expression of the androgen receptor ( AR) and 7 ( INSR, C8H9orf3, RAD50, ERBB3, NEIL2, IRF1 and ZBTB16) of the 25 PCOS candidate genes in foetal ovarian fibroblasts in vitro, whilst increasing expression of the AR cofactor TGFβ-induced transcript 1 ( TGFB1I1 or Hic5).

          WHAT IS KNOWN ALREADY

          The ovarian stroma arises from the mesonephros during foetal ovary development. Changes in the morphology of the ovarian stroma are cardinal features of PCOS. The ovary is more fibrous and has more tunica and cortical and subcortical stroma. It is not known why this is and when this arises. PCOS has a foetal origin and perhaps ovarian stroma development is altered during foetal life to determine the formation of a polycystic ovary later in life. PCOS also has a genetic origin with 19 loci containing 25 PCOS candidate genes. In many adult tissues, TGFβ is known to stimulate fibroblast replication and collagen deposition in stroma, though it has the opposite effect in the non-scaring foetal tissues. Our previous studies showed that TGFβ signalling molecules [TGFβs and their receptors, latent TGFβ binding proteins (LTBPs) and fibrillins, which are extracellular matrix proteins that bind LTBPs] are expressed in foetal ovaries. Also, we previously showed that TGFβ1 inhibited expression of AR and 3 PCOS candidate genes ( INSR, C8H9orf3 and RAD50) and stimulated expression of TGFB1I1 in cultured foetal ovarian fibroblasts.

          STUDY DESIGN, SIZE, DURATION

          We used Bos taurus for this study as we can ethically collect foetal ovaries from across the full 9-month gestational period. Foetal ovaries (62–276 days, n = 19) from across gestation were collected from pregnant B. taurus cows for RNA-sequencing (RNA-seq) analyses. Foetal ovaries from B. taurus cows were collected (160–198 days, n = 6) for culture of ovarian fibroblasts.

          PARTICIPANTS/MATERIALS, SETTING, METHODS

          RNA-seq transcriptome profiling was performed on foetal ovaries and the data on genes involved in TGFβ signalling were extracted. Cells were dispersed from foetal ovaries and fibroblasts cultured and treated with TGFβ1. The effects of TGFβ regulation on the remaining eight PCOS candidate genes not previously studied ( ERBB3, MAPRE1, FDFT1, NEIL2, ARL14EP, PLGRKT, IRF1 and ZBTB16) were examined.

          MAIN RESULTS AND THE ROLE OF CHANCE

          Many TGFβ signalling molecules are expressed in the foetal ovary, and for most, their expression levels increased accross gestation ( LTBP1/2/3/4, FBN1, TGFB2/3, TGFBR2/3 and TGFB1I1), while a few decreased ( FBN3, TGFBR3L, TGFBI and TGFB1) and others remained relatively constant ( TGFBRAP1, TGFBR1 and FBN2). TGFβ1 significantly decreased expression of PCOS candidate genes ERBB3, NEIL2, IRF1 and ZBTB16 in cultured foetal ovarian fibroblasts.

          LARGE SCALE DATA

          The FASTQ files, normalized data and experimental information have been deposited in the Gene Expression Omnibus (GEO) accessible by accession number GSE178450.

          LIMITATIONS, REASONS FOR CAUTION

          Regulation of PCOS candidate genes by TGFβ was carried out in vitro and further studies in vivo are required. This study was carried out in bovine where foetal ovaries from across all of the 9-month gestational period were available, unlike in the human where it is not ethically possible to obtain ovaries from the second half of gestation.

          WIDER IMPLICATIONS OF THE FINDINGS

          From our current and previous results we speculate that inhibition of TGFβ signalling in the foetal ovary is likely to (i) increase androgen sensitivity by enhancing expression of AR, (ii) increase stromal activity by stimulating expression of COL1A1 and COL3A1 and (iii) increase the expression of 7 of the 25 PCOS candidate genes. Thus inhibition of TGFβ signalling could be part of the aetiology of PCOS or at least the aetiology of polycystic ovaries.

          STUDY FUNDING/COMPETING INTEREST(S)

          Funding was received from Adelaide University China Fee Scholarship (M.L.), Australian Research Training Program (R.A.) and the Faculty of Health and Medical Science Divisional Scholarship (R.A.), Adelaide Graduate Research Scholarships (R.A. and N.A.B.), Australia Awards Scholarship (M.D.H.), Robinson Research Institute Career Development Fellowship (K.H.) and Building On Ideas Grant (K.H.), National Health and Medical Research Council of Australia Centre for Research Excellence in the Evaluation, Management and Health Care Needs of Polycystic Ovary Syndrome (N.A.B., M.D.H. and R.J.R.; GTN1078444) and the Centre for Research Excellence on Women’s Health in Reproductive life (R.A., R.J.R. and K.H.; GTN1171592) and the UK Medical Research Council (R.A.A.; grant no. G1100357). The funders did not play any role in the study design, data collection and analysis, decision to publish or preparation of the manuscript. The authors of this manuscript have nothing to declare and no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

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          Most cited references73

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          NCBI GEO: archive for high-throughput functional genomic data

          The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as ‘Minimum Information About a Microarray Experiment’ (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.
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            Polycystic ovary syndrome.

            Polycystic ovary syndrome (PCOS) affects 5-20% of women of reproductive age worldwide. The condition is characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology (PCOM) - with excessive androgen production by the ovaries being a key feature of PCOS. Metabolic dysfunction characterized by insulin resistance and compensatory hyperinsulinaemia is evident in the vast majority of affected individuals. PCOS increases the risk for type 2 diabetes mellitus, gestational diabetes and other pregnancy-related complications, venous thromboembolism, cerebrovascular and cardiovascular events and endometrial cancer. PCOS is a diagnosis of exclusion, based primarily on the presence of hyperandrogenism, ovulatory dysfunction and PCOM. Treatment should be tailored to the complaints and needs of the patient and involves targeting metabolic abnormalities through lifestyle changes, medication and potentially surgery for the prevention and management of excess weight, androgen suppression and/or blockade, endometrial protection, reproductive therapy and the detection and treatment of psychological features. This Primer summarizes the current state of knowledge regarding the epidemiology, mechanisms and pathophysiology, diagnosis, screening and prevention, management and future investigational directions of the disorder.
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              TGF-beta superfamily members and ovarian follicle development.

              In recent years, exciting progress has been made towards unravelling the complex intraovarian control mechanisms that, in concert with systemic signals, coordinate the recruitment, selection and growth of follicles from the primordial stage through to ovulation and corpus luteum formation. A plethora of growth factors, many belonging to the transforming growth factor-beta (TGF-beta ) superfamily, are expressed by ovarian somatic cells and oocytes in a developmental, stage-related manner and function as intraovarian regulators of folliculogenesis. Two such factors, bone morphogenetic proteins, BMP-4 and BMP-7, are expressed by ovarian stromal cells and/or theca cells and have recently been implicated as positive regulators of the primordial-to-primary follicle transition. In contrast, evidence indicates a negative role for anti-Mullerian hormone (AMH, also known as Mullerian-inhibiting substance) of pre-granulosa/granulosa cell origin in this key event and subsequent progression to the antral stage. Two other TGF-beta superfamily members, growth and differentiation factor-9 (GDF-9) and BMP-15 (also known as GDF-9B) are expressed in an oocyte-specific manner from a very early stage and play key roles in promoting follicle growth beyond the primary stage; mice with null mutations in the gdf-9 gene or ewes with inactivating mutations in gdf-9 or bmp-15 genes are infertile with follicle development arrested at the primary stage. Studies on later stages of follicle development indicate positive roles for granulosa cell-derived activin, BMP-2, -5 and -6, theca cell-derived BMP-2, -4 and -7 and oocyte-derived BMP-6 in promoting granulosa cell proliferation, follicle survival and prevention of premature luteinization and/or atresia. Concomitantly, activin, TGF-beta and several BMPs may exert paracrine actions on theca cells to attenuate LH-dependent androgen production in small to medium-size antral follicles. Dominant follicle selection in monovular species may depend on differential FSH sensitivity amongst a growing cohort of small antral follicles. Changes in intrafollicular activins, GDF-9, AMH and several BMPs may contribute to this selection process by modulating both FSH- and IGF-dependent signalling pathways in granulosa cells. Activin may also play a positive role in oocyte maturation and acquisition of developmental competence. In addition to its endocrine role to suppress FSH secretion, increased output of inhibin by the selected dominant follicle(s) may upregulate LH-induced androgen secretion that is required to sustain a high level of oestradiol secretion during the pre-ovulatory phase. Advances in our understanding of intraovarian regulatory mechanisms should facilitate the development of new approaches for monitoring and manipulating ovarian function and improving fertility in domesticated livestock, endangered species and man.
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                Author and article information

                Contributors
                Journal
                Hum Reprod
                Hum Reprod
                humrep
                Human Reproduction (Oxford, England)
                Oxford University Press
                0268-1161
                1460-2350
                June 2022
                12 April 2022
                12 April 2022
                : 37
                : 6
                : 1244-1254
                Affiliations
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Faculty of Medicine, Universitas Trisakti , Jakarta, Indonesia
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                School of Medical Science, Griffith University, Gold Coast Campus , Southport, QLD, Australia
                MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh , Edinburgh, UK
                Robinson Research Institute, School of Biomedicine, The University of Adelaide , Adelaide, SA, Australia
                Author notes

                Rafiatu Azumah and Menghe Liu contributed equally as first authors.

                Correspondence address. Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA 5005, Australia. E-mail: ray.rodgers@ 123456adelaide.edu.au
                Author information
                https://orcid.org/0000-0001-5547-2302
                https://orcid.org/0000-0002-7681-134X
                https://orcid.org/0000-0001-5023-2668
                https://orcid.org/0000-0001-7542-6434
                https://orcid.org/0000-0002-7495-518X
                https://orcid.org/0000-0002-2139-2969
                Article
                deac049
                10.1093/humrep/deac049
                9156849
                35413103
                b940a6cc-7ca8-4efe-8bcd-c7de70e069f6
                © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 14 October 2021
                : 04 January 2022
                : 01 February 2022
                Page count
                Pages: 11
                Funding
                Funded by: Adelaide University China Fee Scholarship;
                Funded by: Australian Research Training Program;
                Funded by: Faculty of Health and Medical Science Divisional Scholarship;
                Funded by: Adelaide Graduate Research Scholarships;
                Funded by: Australia Awards Scholarship;
                Funded by: Robinson Research Institute Career Development Fellowship;
                Funded by: Building On Ideas Grant;
                Funded by: National Health and Medical Research Council of Australia Centre for Research Excellence in the Evaluation, Management and Health Care Needs of Polycystic Ovary Syndrome;
                Award ID: GTN1078444
                Funded by: Centre for Research Excellence on Women’s Health in Reproductive life;
                Award ID: GTN1171592
                Funded by: UK Medical Research Council, DOI 10.13039/501100000265;
                Award ID: G1100357
                Categories
                Original Articles
                Reproductive Biology
                AcademicSubjects/MED00905

                Human biology
                pcos,stroma,tgfβ,signalling molecules,ovary development,pcos candidate genes,regulation,extracellular matrix,rna-seq,gene expression

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