Editorial: Endometriosis: a fertility perspective

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This editorial reviews research on endometriosis phenotypes, diagnostic tools, and fertility management strategies, emphasizing personalized approaches to preserve ovarian reserve and enhance conception outcomes.

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This editorial introduces a research topic exploring the multifaceted relationship between endometriosis and female subfertility, highlighting molecular heterogeneity across superficial, ovarian, and deep infiltrating phenotypes. The collection of studies examines diverse factors influencing reproductive outcomes, including oxidative stress from endometrioma fluid, environmental toxin exposure, and the impact of surgical interventions on ovarian reserve. It further evaluates therapeutic strategies ranging from hormonal suppression to non-hormonal angiogenesis inhibitors, emphasizing the need for personalized management that balances symptom relief with fertility preservation. This paper is centrally about endometriosis — specifically focusing on its pathophysiology, diagnostic advancements, and clinical management strategies aimed at improving fertility outcomes.

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Abstract

Understanding the molecular heterogeneity of endometriosis is essen7al for moving toward precision medicine. Situmorang et al. highlighted that the disease's three main phenotypessuperficial peritoneal endometriosis (SUP), ovarian endometrioma (OMA), and deep infiltra7ng endometriosis (DIE) -are driven by dis7nct gene ac7va7on profiles. Their findings suggest that DIE is characterized by invasive fibro7c pathways (e.g., FN1, MMP2), while OMA is dominated by oxida7ve stress and iron metabolism regulators, reflec7ng biologically unique en77es rather than simple anatomical varia7ons.Further exploring internal regulatory systems, Olabarrieta et al. inves7gated the endogenous opioid system as a modulator of uterine physiology. They proposed that dysregulated opioid signaling might impair 7ssue remodeling, angiogenesis, and apoptosis, closely mirroring the mechanisms altered in endometriosis-associated subfer7lity. Addi7onally, the regula7on of the corpus luteum (CL) -vital for maintaining early pregnancy -was reviewed by Tariq et al., who detailed how integrated hormonal, metabolic (AMPK-PPARγ), and epigene7c pathways (EZH2mediated histone methyla7on) control CL func7on and poten7al luteal insufficiency.The impact of the external environment and systemic health on fer7lity cannot be overlooked. Iavarone et al. conducted an exploratory study on lead concentra7ons in follicular fluid, finding significantly higher levels in infer7le pa7ents with endometriosis compared to controls. This suggests that heavy metal accumula7on might parallel the disease's pathogenesis and nega7vely affect oocyte quality.Simultaneously, systemic markers such as Body Mass Index (BMI) have been scru7nized for their predic7ve value. Park et al. assessed the associa7on between BMI and An7-Müllerian Hormone (AMH), finding a modest inverse rela7onship across both endometrioma and dermoid cyst cohorts. Their results underscore that systemic BMI may not fully capture the metabolic influences on ovarian reserve, which are likely more influenced by local ovarian microenvironmental factors in endometriosis.Ovarian endometriomas pose a direct threat to the reproduc7ve reserve. Orisaka et al. demonstrated through a rat follicle culture model that endometrioma fluid (EmF) disrupts preantral follicle development. Their research iden7fied that EmF induces oxida7ve stress in granulosa cells and promotes fibrosis in theca cells, thereby impairing the essen7al cellular crosstalk required for follicular growth.The management of these cysts remains a clinical dilemma. Li et al. confirmed that endometrio7c cystectomy is associated with significantly diminished ovarian reserve markers (reduced AMH and AFC) and poorer responses during controlled ovarian s7mula7on. This highlights the need for individualized surgical decision-making that weighs symptom relief against the risk of iatrogenic damage to ovarian func7on.Advancements in technology and pharmacology offer new hope for improving fer7lity outcomes. Zhang et al. conducted a meta-analysis on the diagnos7c accuracy of machine learning, demonstra7ng that models based on gene7c and imaging informa7on possess substan7al precision for the early detec7on of endometriosis.In the realm of therapeu7cs, Sun et al. provided a systema7c review of pharmacological therapies, no7ng that while hormonal suppression (e.g., dienogest, relugolix) is effec7ve for pain, the choice must be tailored to the pa7ent's specific reproduc7ve goals. For pa7ents seeking non-hormonal, concep7on-compa7ble op7ons, Hammond et al. u7lized a network meta-analysis to rank VEGFdirected pharmacotherapies. They iden7fied compounds like curcumin that show signals of lesion regression in pre-clinical models by targe7ng angiogenesis, poten7ally offering a route toward fer7lity-sparing treatment. Complemen7ng these findings, a prospec7ve observa7onal study conducted by Bahar et al. compared dienogest with a levonorgestrel-containing combined oral contracep7ve (COC). This study found that while both treatments significantly reduced chronic pelvic pain and dysmenorrhea over three months, the COC group showed greater short-term pain reduc7on. This suggests that con7nuous COC regimens may represent a vital, cost-effec7ve conserva7ve op7on, par7cularly in resource-limited segngs.For pa7ents with DIE, the sequence of interven7ons is cri7cal. Aase and Khan reviewed surgical management for fer7lity enhancement, emphasizing that while surgery can enhance natural fecundity in superficial disease, its role prior to Assisted Reproduc7ve Technology (ART) must be carefully evaluated based on pa7ent age and ovarian reserve.Op7mizing these sequences was the focus of Tang et al., who reported successful live births in severe DIE cases using a sequen7al strategy: embryo cryopreserva7on first, followed by radical laparoscopic surgery, and finally a natural-cycle frozen embryo transfer (NC-FET). This approach priori7zes fer7lity preserva7on before extensive surgery, which might otherwise compromise ovarian func7on. For pa7ents undergoing less invasive procedures like ethanol sclerotherapy (EST), Liu et al. developed and validated a clinical nomogram to predict cumula7ve live birth rates. This tool, based on predictors like cyst diameter and the number of oocytes retrieved, assists in individualized counseling and shared decision-making.The research presented in this Topic reinforces the view that endometriosis is not a monolithic disease but a complex assembly of biological phenotypes requiring a mul7disciplinary, personalized approach. From the molecular impact of endometrioma fluid to the applica7on of machine learning in diagnos7cs and the strategic sequencing of surgery and ART, these studies advance our understanding of how to manage endometriosis while priori7zing and enhancing a pa7ent's fer7lity. These findings provide a robust founda7on for future clinical trials and the development of targeted, non-hormonal interven7ons tailored to the unique needs of women seeking to conceive despite this challenging condi7on.
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Endometriosis is a chronic, estrogen-dependent inflammatory condition that affects approximately 10% of women of reproductive age; it is a primary driver of female subfertility. The relationship between endometriosis and infertility is multifaceted and involves distorted pelvic anatomy, altered peritoneal function, and endocrine abnormalities that compromise oocyte quality and endometrial receptivity. This Research Topic titled “Endometriosis: A Fertility Perspective” aims to provide a comprehensive overview of the molecular, environmental, and clinical pathways that define reproductive outcomes for patients living with this disease. Understanding the molecular heterogeneity of endometriosis is essential for advancing precision medicine. Situmorang et al. found that the disease’s three main phenotypes – superficial peritoneal endometriosis (SUP), ovarian endometrioma (OMA), and deep infiltrating endometriosis (DIE) – are driven by distinct gene activation profiles. The authors’ findings suggest that DIE is characterized by invasive fibrotic pathways (e.g., FN1, MMP2), while OMA is dominated by oxidative stress and iron metabolism regulators, reflecting biologically unique entities rather than simple anatomical variations. Further exploring internal regulatory systems, Olabarrieta et al. investigated the endogenous opioid system as a modulator of uterine physiology. They proposed that dysregulated opioid signaling could impair tissue remodeling, angiogenesis, and apoptosis, closely mirroring the altered mechanisms in endometriosis-associated subfertility. Additionally, the regulation of the corpus luteum (CL) – vital for maintaining early pregnancy – was reviewed by Tariq et al., who detailed how integrated hormonal, metabolic (AMPK–PPARγ), and epigenetic (EZH2-mediated histone methylation) pathways control CL function and potential luteal insufficiency. The impact of the external environment and systemic health on fertility cannot be overlooked. Iavarone et al. conducted an exploratory study on lead concentrations in follicular fluid and found significantly higher levels in infertile patients with endometriosis compared to controls. This suggests that heavy metal accumulation may parallel the pathogenesis of the disease and negatively affect oocyte quality. Simultaneously, systemic markers such as Body Mass Index (BMI) have been examined for their predictive value. Park et al. assessed the association between BMI and Anti-Müllerian Hormone (AMH), finding a modest inverse relationship in both endometrioma and dermoid cyst cohorts. The authors’ results underscore that systemic BMI may not fully capture the metabolic influences on ovarian reserve, which are likely influenced more by local ovarian microenvironmental factors in endometriosis. Ovarian endometriomas pose a direct threat to the reproductive reserve. Orisaka et al. demonstrated through a rat follicle culture model that endometrioma fluid (EmF) disrupts preantral follicle development. Their research identified that EmF induces oxidative stress in granulosa cells and promotes fibrosis in theca cells, thereby impairing the essential cellular crosstalk required for follicular growth. The management of these cysts remains a clinical dilemma. Li et al. confirmed that endometriotic cystectomy is associated with significantly diminished markers of ovarian reserve (reduced AMH and AFC levels) and poorer responses to controlled ovarian stimulation. These findings highlight the need for individualized surgical decision-making that weighs symptom relief against the risk of iatrogenic damage to ovarian function. Advancements in technology and pharmacology offer new hope for improving fertility outcomes. Zhang et al. conducted a meta-analysis on the diagnostic accuracy of machine learning models, demonstrating that those based on genetic and imaging information possess substantial precision for the early detection of endometriosis. In the realm of therapeutics, Sun et al. conducted a systematic review of pharmacological therapies, noting that while hormonal suppression (e.g., dienogest, relugolix) is effective for alleviating pain, the choice of therapy must be tailored to the patient’s specific reproductive goals. For patients seeking non-hormonal, conception-compatible options, Hammond et al. utilized a network meta-analysis to rank VEGF-directed pharmacotherapies. The research team identified compounds such as curcumin that show signals of lesion regression in preclinical models by targeting angiogenesis. This offers a potential route toward fertility-sparing treatment. Complementing these findings, a prospective observational study conducted by Bahar et al. compared dienogest with a levonorgestrel-containing combined oral contraceptive (COC). This study found that while both treatments significantly reduced chronic pelvic pain and dysmenorrhea over 3 months, the COC group experienced greater short-term pain reduction. This suggests that continuous COC regimens may represent a vital, cost-effective conservative treatment option, particularly in resource-limited settings. For patients with DIE, the sequence of interventions is critical. Aase and Khan reviewed surgical management for fertility enhancement, emphasizing that while surgery can enhance natural fecundity in superficial disease, its role prior to Assisted Reproductive Technology (ART) must be carefully evaluated based on patient age and ovarian reserve. Optimizing these sequences was the focus of the study by (Tang et al.). The authors reported successful live births in severe DIE cases using a sequential strategy: embryo cryopreservation first, followed by radical laparoscopic surgery, and finally a natural-cycle frozen embryo transfer (NC-FET). This approach prioritizes fertility preservation before extensive surgery, which might otherwise compromise ovarian function. For patients undergoing less invasive procedures, such as ethanol sclerotherapy (EST), Liu et al. developed and validated a clinical nomogram to predict cumulative live birth rates. This tool, based on predictors such as cyst diameter and the number of oocytes retrieved, assists with individualized counseling and shared decision-making. The research presented in this Research Topic reinforces the view that endometriosis is not a monolithic disease, but rather a complex assembly of biological phenotypes that requires a multidisciplinary, personalized approach. From the molecular impact of endometrioma fluid to the application of machine learning in diagnostics and the strategic sequencing of surgery and ART, these studies advance our understanding of how to manage endometriosis while prioritizing and enhancing a patient’s fertility. These findings provide a robust foundation for future clinical trials and the development of targeted, non-hormonal interventions tailored to the unique needs of women seeking to conceive despite this challenging condition. Statements Author contributions II: Writing – original draft. CR: Writing – review & editing. Conflict of interest The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Generative AI statement The author(s) declared that generative AI was not used in the creation of this manuscript. Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us. 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. Summary Keywords endometrial receptivity, endometriosis, oocyte quality, ovarian reserve, reproduction Citation Iavarone I and Ronsini C (2026) Editorial: Endometriosis: a fertility perspective. Front. Endocrinol. 17:1963419. doi: 10.3389/fendo.2026.1963419 Received 10 August 2026 Accepted 17 August 2026 Published 25 August 2026 Volume 17 - 2026 Edited and reviewed by Richard Ivell, University of Nottingham, United Kingdom Updates Copyright © 2026 Iavarone and Ronsini. 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: Irene Iavarone, [email protected] 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.

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