Skip to main content

EDITORIAL article

Front. Physiol., 19 July 2022
Sec. Reproduction
This article is part of the Research Topic Diminished Ovarian Reserve & Poor Ovarian Response: Diagnostic and Therapeutic Management View all 15 articles

Editorial: Diminished Ovarian Reserve and Poor Ovarian Response: Diagnostic and Therapeutic Management

Racca Annalisa
Racca Annalisa1*Stoop DominicStoop Dominic2Polyzos Nikolaos P,Polyzos Nikolaos P1,2
  • 1Department of Obstetrics Gynecology and Reproductive Medicine, Dexeus University Hospital, Barcelona, Spain
  • 2Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium

Over the last decades there has been a steep increase in the demand for ART treatment and the main reason for this is the advanced age of the couple trying to conceive. Another important aspect of the last years is the increased incidence of malignancies in young-adults and the consequent fertility preservation of cancer survivors. In contrast to what people are inclined to think, in vitro fertilization (IVF) treatments cannot fully compensate for age-dependent loss of fertility, as the success rate of any fertility techniques directly depend on maternal age (Mills et al., 2011). In fact, advanced maternal age (Wallace and Kelsey, 2010), and iatrogenic (ovarian surgery or gonadotoxic therapies) (Dewailly et al., 2014) or non-iatrogenic conditions (for instance the presence of genetic polymorphism at the levels of gonadotropin receptors) can reduce the ovarian reserve. Independently of the cause of diminished ovarian reserve (DOR), up to 1/3 of these patients experience a poor ovarian response (POR) to ovarian stimulation (OS) leading to cycle cancellation and a reduced chance of a live birth (Polyzos et al., 2012; Polyzos et al., 2014; La Marca et al., 2015; Polyzos and Popovic-Todorovic, 2020). The first consensus on the definition of POR (Ferraretti et al., 2011), the Bologna criteria, has been the first time this population was clinically defined; however, the most important limitation was the heterogeneity of the population included in the definition, given by grouping women with different biological characteristics and therefore prognosis (Polyzos and Drakopoulos, 2019). More recently a different grouping of these patient was proposed, based on age and ovarian sensitivity to OS, two features that may impact the prognosis (Esteves et al., 2019).

Surely POR still represent one of the most difficult subgroups of IVF patients to treat in the everyday clinical practice. Therefore, we set up this Research Topic with the aim to provide a comprehensive overview of the diagnostic and therapeutic management of patients with DOR and POR from different perspectives: definition, diagnostic and etiology of DOR, efficacy of different ART for the patient’s management; and lastly, novel and promising strategies for the treatment of DOR and POR.

As in many other situations, in IVF the capacity to predict a possible failure is crucial. With the objective to prevent a critical outcome, the first step is to define DOR and describe which test can be performed to diagnose women with DOR. Moreover, in the literature, the clinical use of ovarian reserve markers (ORMs) is based on the use of cut-off points. However, the cut-offs are very frequently arbitrary, depending on the different definitions of DOR, the different measuring methods and lastly the high heterogeneity of the population investigated. For the definition and diagnosis of DOR, Wang et al., explored the ovarian reserve tests (ORTs) and their respective values, also according to specific age cut-offs, in order to predict poor ovarian response and to personalize IVF treatment appropriately. The main result showed that age, AFC, AMH and basal FSH are predicting factors for POR, where AFC and AMH are the best, if using only a single factor as predictor. AMH has a very low intra- and inter-cycle variability, thereby offering a good quantitative and qualitative follicle marker compared to clinical and endocrine ones; it is therefore the best single predictor of POR. Along similar lines of predicting ovarian response, Wen et al., investigated the reference range and the potential value of inhibin B, a non-steroidal hormone produced by the granulosa cells with a known property of FSH suppression. The main results showed that a reduction in inhibin B reflects DOR and has a good consistency with both AMH and AFC. Bai et al. , explored the ovarian response-related risk factors. They determined the expression of growth differentiation factor-8 (GDF-8), a member of the transforming growth factor β family and known to have a crucial role in folliculogenesis, and the expression of its specific receptors in different ovarian response patients during OS. The authors concluded that aging, obesity, endometriosis, ovarian surgery, and high levels of GDF-8 are high risk factors for POR.

When looking at etiology, one of the causes of DOR is the exposure to gonadotoxic medication for oncological reasons. Chemotherapy-associated ovarian failure (COF), has been described by Mauri et al. as a disruption of ovarian function both as an endocrine gland and as a reproductive organ. The real underlying mechanism by which this happens is still not fully understood; however, it seems to be associated with either DNA damage of the premature ovarian follicle or its early activation and apoptosis, resulting in the exhaustion of the follicle reserve. As a matter of fact, due to the delay in the pregnancy wish and due to the increasing percentage of women affected by malignancies, it is of the utmost importance to give any female cancer patient the opportunity to express their pregnancy wishes after any antineoplastic treatment is completed.

The definition of a unified treatment approach for POR has not yet been outlined. Given the heterogeneity of the ovarian response in the DOR population, it is questionable whether the “one size fits all” approach should still be the main research focus, or whether more refined and personalized treatment strategies should be investigated. In this direction, Papageorgiou et al. pointed out that proper molecular testing should be performed. Regulators of follicle maturation could potentially be used as prognostic biomarkers of the response to different gonadotropin regimens. In particular, the PI3K/Akt/mTOR and Hippo pathways could be monitored, as the dynamic balance between these two opposite modulators is pivotal for proper follicle maturation. However, in the absence of defined protocols based on molecular biomarkers, current research is spread over a range of heterogeneous treatment strategies.

A first line of research compared one conventional GnRH antagonist stimulation with multiple minimal OS, demonstrating the superiority of conventional OS in terms of number of oocytes retrieved and pregnancy rates Liu et al..

A second group of studies investigated the role of androgen supplementation in DOR. Despite promising results on animals, Neves et al., by reviewing the literature on DHEA, showed that there were inconclusive results on humans, due to the large heterogeneity between the studies. Notably, Chen et al., demonstrated that a faster increase in testosterone levels, from baseline to the day after the ovulation trigger, could be associated with better pregnancy outcomes.

A third research cluster aims to stimulate follicular development by triggering paracrine signaling mechanisms with either inhibition of molecular pathways together with in vitro activation (IVA), mechanical fragmentation, administration of bone marrow-derived stem cells (BMDSC) as well as of platelet-rich plasma (PRP) Polonio et al.; Fàbregues et al.. Although promising, such treatments are still experimental and further research is needed before translation in a clinical setting.

Finally, there are a number of stand-alone studies, possibly pioneering new frontiers in the treatment of DOR and POR. Zhu et al., found that growth hormone (GH) administration before frozen-thawed transfer would increase oocyte quantity and quality, thus improving cycle and pregnancy outcomes. Song et al., compared traditional Chinese formula Ding-Kun Pill (DKP) supplementation versus placebo in POSEIDON group 4 women and found a higher ongoing pregnancy rate in the DKP group, though the finding is based on a subgroup analysis with small sample sizes. Yang and co-workers investigated pharmacological mechanisms through which melatonin could improve ovarian reserve: in summary, melatonin was able to show anti-aging, anti-apoptotic, endocrine, and immune system regulation Yang et al. Lastly, Christodoulaki et al., proposed germline nuclear transfer (NT) as a promising new treatment for DOR patients. NT consists in the transfer of a nuclear genome from patient oocytes to enucleated donor oocytes, thus circumventing the biochemical issues related to advanced maternal age and reduced oocyte competence.

In conclusion, DOR and POR represent one of the hardest challenges in ART. As a general recommendation, a thorough exploration of the ovarian reserve and related biomarkers should always be performed as the first step towards tailored treatment strategies. However, the success rate in this population of patients is still unacceptably low. In recent years, the need for tangible improvements have pushed forward the boundaries of research and innovation. We are still at the stage of growth and exploration; however, the impressive bulk of research makes us confident that such collective effort will inevitably lead to successful outcomes in the near future.

Author Contributions

All the authors substantially revised the manuscript, have approved the submitted version, and have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work. RA and PNP made substantial contributions to the evaluation and interpretation of the articles included in the Topic, and critically appraised the results in the context of scientific literature. RA wrote the editorial. PNP and SD revised the final draft of the manuscript.

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

Dewailly D., Andersen C. Y., Balen A., Broekmans F., Dilaver N., Fanchin R., et al. (2014). The Physiology and Clinical Utility of Anti-Müllerian Hormone in Women. Hum. Reprod. Update 20 (3), 370–385. doi:10.1093/humupd/dmt062

PubMed Abstract | CrossRef Full Text | Google Scholar

Esteves S. C., Alviggi C., Humaidan P., Fischer R., Andersen C. Y., Conforti A., et al. (2019). The POSEIDON Criteria and its Measure of Success through the Eyes of Clinicians and Embryologists. Front. Endocrinol. 10, 814. doi:10.3389/fendo.2019.00814

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferraretti A. P., La Marca A., Fauser B. C. J. M., Tarlatzis B., Nargund G., Gianaroli L., et al. (2011). ESHRE Consensus on the Definition of 'poor Response' to Ovarian Stimulation for In Vitro Fertilization: the Bologna Criteria. Hum. Reprod. 26 (7), 1616–1624. doi:10.1093/humrep/der092

PubMed Abstract | CrossRef Full Text | Google Scholar

La Marca A., Grisendi V., Giulini S., Sighinolfi G., Tirelli A., Argento C., et al. (2015). Live Birth Rates in the Different Combinations of the Bologna Criteria Poor Ovarian Responders: a Validation Study. J. Assist. Reprod. Genet. 32 (6), 931–937. doi:10.1007/s10815-015-0476-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mills M., Rindfuss R. R., McDonald P., te Velde E. (2011). Why Do People Postpone Parenthood? Reasons and Social Policy Incentives. Hum. Reprod. Update 17 (6), 848–860. doi:10.1093/humupd/dmr026

PubMed Abstract | CrossRef Full Text | Google Scholar

Polyzos N. P., Blockeel C., Verpoest W., De Vos M., Stoop D., Vloeberghs V., et al. (2012). Live Birth Rates Following Natural Cycle IVF in Women with Poor Ovarian Response According to the Bologna Criteria. Hum. Reprod. 27 (12), 3481–3486. doi:10.1093/humrep/des318

PubMed Abstract | CrossRef Full Text | Google Scholar

Polyzos N. P., Drakopoulos P. (2019). Management Strategies for POSEIDON's Group 1. Front. Endocrinol. 10, 679. doi:10.3389/fendo.2019.00679

PubMed Abstract | CrossRef Full Text | Google Scholar

Polyzos N. P., Nwoye M., Corona R., Blockeel C., Stoop D., Haentjens P., et al. (2014). Live Birth Rates in Bologna Poor Responders Treated with Ovarian Stimulation for IVF/ICSI. Reprod. Biomed. Online 28 (4), 469–474. doi:10.1016/j.rbmo.2013.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Polyzos N. P., Popovic-Todorovic B. (2020). Say No to Mild Ovarian Stimulation for All Poor Responders: it Is Time to Realize that Not All Poor Responders Are the Same. Hum. Reprod. 35 (9), 1964–1971. doi:10.1093/humrep/deaa183

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallace W. H. B., Kelsey T. W. (2010). Human Ovarian Reserve from Conception to the Menopause. PLoS One 5 (1), e8772. doi:10.1371/journal.pone.0008772

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: diminished ovarian reserve (DOR), ovarian stimulation and response, IVF (in vitro fertilization), ART (assisted reproductive technology), poor ovarian response (POR)

Citation: Annalisa R, Dominic S and Nikolaos P P (2022) Editorial: Diminished Ovarian Reserve and Poor Ovarian Response: Diagnostic and Therapeutic Management. Front. Physiol. 13:827678. doi: 10.3389/fphys.2022.827678

Received: 02 December 2021; Accepted: 22 June 2022;
Published: 19 July 2022.

Edited and reviewed by:

Richard Ivell, University of Nottingham, United Kingdom

Copyright © 2022 Annalisa, Dominic and Nikolaos P. 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: Racca Annalisa, annrac@dexeus.com

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.