Your new experience awaits. Try the new design now and help us make it even better

MINI REVIEW article

Front. Endocrinol., 26 January 2026

Sec. Reproduction

Volume 16 - 2025 | https://doi.org/10.3389/fendo.2025.1722649

This article is part of the Research TopicMolecular and cellular challenges and threats to human fertilityView all articles

The pathogenesis, therapeutic targets and drugs of polycystic ovary syndrome

Yawen ChenYawen ChenXiaoxiang SunXiaoxiang SunXuan XiaXuan XiaKaiqi ChenKaiqi ChenFang Zeng*Fang Zeng*
  • Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder characterized by a high incidence rate and multiple complications, posing significant threats to women’s health and quality of life. The etiology of PCOS involves a complex interplay of genetic, metabolic, hormonal, immunological and environmental factors, though its precise mechanisms remain incompletely understood. This review explores the roles of oxidative stress, autophagy, ferroptosis, epigenetic modifications, post-translational modifications, chronic low-grade inflammation, and gut microbiota in the pathogenesis of PCOS. Current therapeutic strategies often combine lifestyle modifications with pharmacological interventions to address the multifaceted symptoms of PCOS. Drawing on the latest research, this review highlights advanced glycation end products (AGEs), sex hormone-binding globulin (SHBG), and microRNAs (miRNAs) as promising targets for PCOS prevention and treatment. Future research should focus on developing targeted drugs for these molecular pathways, offering new avenues for managing PCOS. This review will provide a scientific foundation for advancing PCOS treatment strategies.

GRAPHICAL ABSTRACT
www.frontiersin.org

Graphical Abstract.

1 Introduction

Polycystic ovary syndrome (PCOS) is one of the most common endocrine and metabolic disorders in women of reproductive age, affecting millions worldwide. Epidemiological studies report a prevalence ranging from 4% to 21%, with approximately 11–13% of reproductive-aged women affected (1). The hallmark features of PCOS include menstrual irregularities, hyperandrogenism, and polycystic ovarian morphology. Additionally, PCOS is frequently associated with insulin resistance, impaired glucose tolerance, type 2 diabetes, obesity, cardiovascular diseases, dyslipidemia, etc. (Figure 1). These comorbidities not only elevate health risks but also contribute to infertility and diminished quality of life. For instance, insulin resistance affects 50–80% of women with PCOS, while impaired glucose tolerance and type 2 diabetes occur in 35% and 10% of cases, respectively. Obesity is prevalent in approximately 40% of PCOS patients, with 70% of obese individuals exhibiting at least one abnormal lipid parameter (2). Given its significant health burden, elucidating the mechanisms underlying PCOS is crucial for developing effective prevention and treatment strategies.

Figure 1
Diagram showing symptoms of PCOS with a central focus on female reproductive organs. Arrows point to symptoms: obesity, low immunity, insulin resistance, infertility, cardiovascular diseases, irregular menstruation, irritable mood, alopecia, hyperandrogenemia, and acne.

Figure 1. PCOS symptoms. PCOS, polycystic ovary syndrome.

2 Factors affecting the occurrence and development of PCOS

The pathogenesis of PCOS is multifactorial, involving genetic predisposition, metabolic dysregulation, endocrine abnormalities, immune imbalance, and environmental influences, all of which interact to contribute to the disease phenotype.

2.1 Genetic factors

PCOS patients often have a family history and show a certain degree of familial clustering, suggesting a strong genetic component. Twin studies on small cohorts of monozygotic and dizygotic twins indicate that PCOS is not a monogenic disorder but rather a polygenic condition with X-linked inheritance patterns (3). Familial analyses have established that hyperandrogenemia in PCOS patients has a genetic foundation, further supporting the observed familial clustering of this condition (4).

Advances in genomic research have substantially enhanced our understanding of PCOS genetics. Genome-wide association studies (GWAS) have identified 29 susceptibility loci, which link PCOS to metabolic disorders, particularly those associated with elevated body mass index (BMI). Rare variants in Anti-Müllerian hormone (AMH) 2 and DENND1A have also been implicated in PCOS pathogenesis (5, 6). Furthermore, genetic polymorphisms affecting hormone regulation, insulin signaling, and inflammatory pathways may increase disease susceptibility (7). Collectively, these findings underscore the polygenic and multifactorial nature of PCOS, with genetic predisposition interacting with metabolic and endocrine factors to drive disease manifestation.

2.2 Insulin resistance

Insulin resistance is a central metabolic abnormality in PCOS, affecting 50–70% of patients irrespective of body weight. Hyperinsulinemia resulting from insulin resistance stimulates excessive androgen production by the ovaries and adrenal glands, exacerbating hyperandrogenemia and ovulatory dysfunction (8). Beyond its reproductive consequences, insulin resistance also contributes to dysregulated glucose and lipid metabolism, chronic inflammation. These derangements significantly elevate the risk of metabolic syndrome, type 2 diabetes, cardiovascular disease, and non-alcoholic fatty liver disease in affected individuals (9). The bidirectional relationship between insulin resistance and hyperandrogenemia creates a vicious cycle, wherein androgen impair insulin sensitivity, further aggravating metabolic dysfunction through affect fat distribution and muscle metabolism (10). Lifestyle interventions (e.g., diet and exercise) and pharmacological treatments (e.g., metformin, GLP-1 receptor agonists) can ameliorate insulin resistance and improve metabolic outcomes in PCOS (1, 11). These approaches underscore the central role of insulin resistance management in comprehensive PCOS care.

2.3 Hormonal imbalance

Hyperandrogenemia is a defining feature of PCOS, characterized by elevated serum testosterone, androstenedione, and dehydroepiandrosterone (DHEA) levels, leading to clinical manifestations such as hirsutism, acne, and alopecia. The mechanism mainly involves increased androgen synthesis in the ovaries and adrenal glands, along with a decrease in sex hormone-binding globulin (SHBG) levels, further increasing free androgen bioavailability (12). PCOS patients often exhibit elevated luteinizing hormone (LH) levels with normal or low follicle-stimulating hormone (FSH), resulting in an increased LH/FSH ratio and disrupted ovulation. PCOS patients may also have dysfunction of the hypothalamic-pituitary-ovarian (HPO) axis, increasing the LH pulse frequency and amplitude and reducing the FSH secretion (13). AMH levels are also elevated in PCOS due to the accumulation of small antral follicles, contributing to follicular developmental arrest (14). This excess AMH production further disrupts the delicate hormonal equilibrium in PCOS. The interplay between hyperandrogenemia and metabolic disturbances, such as insulin resistance and obesity, exacerbates the PCOS phenotype. Hyperandrogenemia promotes visceral adiposity and alters muscle metabolism, thereby exacerbating insulin resistance. Conversely, insulin resistance stimulates ovarian and adrenal androgen production through multiple mechanisms, creating a self-perpetuating pathogenic cycle (10). This vicious cycle underscores the intricate interplay between endocrine and metabolic dysfunction in PCOS (Figure 2).

Figure 2
Diagram illustrating hormonal imbalance and metabolic disorder in PCOS. It shows interactions between the hypothalamus, pituitary, antral follicle, pancreatic beta-cells, liver, and adrenal glands. Key elements include increased anti-Müllerian hormone (AMH), luteinizing hormone (LH), and insulin; dysregulated steroid feedback; androgen production; insulin resistance; and decreased sex hormone-binding globulin (SHBG). Consequences highlighted are disrupted ovulation, follicular developmental arrest, and hyperandrogenemia.

Figure 2. Metabolic-endocrine crosstalk in PCOS. PCOS, Polycystic ovary syndrome; AMH, Anti-Müllerian hormone; LH, luteinizing hormone; FSH, follicle-stimulating hormone; SHBG, sex hormone-binding globulin.

2.4 Immune system and chronic low-grade inflammation

Chronic low-grade inflammation is a central feature of immune dysfunction in PCOS. Patients exhibit a persistent, mild, systemic inflammatory state even in the absence of infection. In women with PCOS, circulating levels of inflammatory markers such as C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) are significantly elevated (15). Adipose tissue, particularly visceral fat, secretes large amounts of inflammatory factors (16). Hyperinsulinemia resulting from insulin resistance can itself stimulate inflammatory pathways. Dysbiosis of the gut microbiota may increase intestinal permeability, leading to the translocation of endotoxins (e.g., lipopolysaccharide, LPS) into the bloodstream and triggering immune responses (17). Secondly, immune cell dysfunction can also contribute to the development of PCOS. In adipose and ovarian tissues, macrophages are abnormally activated and polarized toward a pro-inflammatory (M1) phenotype, secreting IL-6, TNF-α, and other factors that exacerbate local and systemic inflammation and insulin resistance, potentially interfering with follicular development (18). The number or activity of neutrophils and mast cells is increased, further contributing to the inflammatory response. Studies have shown that PCOS patients exhibit an elevated proportion of Th17 cells and a reduced proportion of regulatory T cells (Treg). Th17 cells secrete pro-inflammatory cytokines such as IL-17, while Treg cells are responsible for maintaining immune tolerance and suppressing excessive inflammation (19). This imbalance (an increased Th17/Treg ratio) is a typical feature of autoimmune and chronic inflammatory diseases, disrupting immune homeostasis and promoting inflammation in ovarian and metabolic tissues. Immune factors do not act in isolation but form a vicious cycle with other characteristics of PCOS, such as insulin resistance and hyperandrogenism (20). They not only contribute to the pathogenesis of PCOS but also drive the progression of its clinical manifestations and the development of long-term complications.

2.5 Environment and lifestyle

Environmental exposures and lifestyle choices significantly influence PCOS risk. For example, active or passive smoking induces oxidative stress and systemic inflammation, impairing ovarian function and insulin sensitivity, thereby exacerbating metabolic and reproductive dysfunction in PCOS (21). Sleep disturbances, such as sleep apnea, contributes to sympathetic overactivation, oxidative stress, and heightened insulin resistance, further perpetuating chronic inflammation (22). Psychological stress may increase the stress hormone (such as cortisol) levels through hypothalamic-pituitary-adrenal (HPA) axis, leading to insulin resistance and increasing androgen secretion, further worsening PCOS symptoms (23). Dietary habits also critically influence PCOS pathogenesis. Excessive sugar intake exacerbates insulin resistance and low-grade inflammation, while a high-fat diet amplifies oxidative stress and adipose tissue inflammation (24). Conversely, vitamin D deficiency may aggravate insulin resistance and inflammatory responses in PCOS, whereas adequate vitamin D levels support metabolic and reproductive health by modulating insulin signaling and immune function (25). Given these connections, comprehensive lifestyle interventions, including dietary modifications, physical activity, and stress management, can improve metabolic and reproductive outcomes in PCOS (11).

3 Mechanism of PCOS occurrence

At present, the mechanism of PCOS occurrence is still unclear. Emerging research highlights the roles of oxidative stress, autophagy, ferroptosis, epigenetic modifications, post-translational protein modifications, chronic low-grade inflammation, and gut microbiota dysbiosis in PCOS development.

3.1 Oxidative stress

Oxidative stress occurs when the physiological equilibrium between oxidation and antioxidation is disrupted, resulting in a shift toward excessive oxidation. This state promotes neutrophil-mediated inflammatory infiltration, enhances protease secretion, and elevates the generation of oxidative intermediates. As a harmful consequence of free radical accumulation, oxidative stress is frequently observed in patients with PCOS, characterized by elevated reactive oxygen species (ROS) production and diminished antioxidant capacity. Concurrently, insulin resistance, chronic inflammation, and obesity contribute to ROS overproduction, while the activity of antioxidant enzymes (such as superoxide dismutase and glutathione peroxidase) are significantly reduced (26).

In PCOS, excessive ROS inflict damage on oocytes and granulosa cells, disrupt the follicular microenvironment, and impair follicular development and ovulation (27). Furthermore, ROS upregulate androgen-synthesizing enzymes (e.g., CYP17) in ovarian theca cells, exacerbating hyperandrogenemia (28). ROS also interfere with insulin signaling by inhibiting tyrosine phosphorylation of IRS, thereby worsening insulin resistance in PCOS patients (29). Elevated ROS levels in PCOS are associated with endothelial dysfunction and accelerated atherosclerosis, increasing cardiovascular risk (30, 31). Additionally, hyperandrogenism in PCOS induces mitochondrial oxidative stress in white adipose tissue, further aggravating insulin resistance and obesity (32). Therapeutic administration of antioxidants (e.g., vitamin C, vitamin E, N-acetylcysteine) may mitigate oxidative damage, improve insulin sensitivity, and restore ovarian function by neutralizing ROS (33).

3.2 Autophagy

Autophagy is a fundamental cellular process responsible for degrading and recycling damaged organelles and proteins, playing a critical role in maintaining cellular homeostasis. Emerging evidence suggests that autophagy may significantly contribute to the pathogenesis of PCOS (34). This process influences key pathophysiological mechanisms in PCOS, including follicular development, hormonal regulation, and metabolic balance. During early follicular development, the follicular pool undergoes dynamic changes, marked by an increase in both primary and antral follicles. Autophagy regulates granulosa cell apoptosis in early-stage follicles, contributing to follicular atresia. In cumulus cells, mitophagy is upregulated in response to follicular fluid, and its impairment can lead to oocyte dysfunction and morphological abnormalities. Furthermore, autophagy inhibits the transition of antral follicles to the pre-ovulatory stage, ultimately disrupting ovulation. Elevated levels of insulin, LH, and testosterone exacerbate PCOS progression by increasing intracellular cyclic adenosine monophosphate (cAMP) levels (35).

Beyond follicular dynamics, autophagy is essential for maintaining normal oocyte and granulosa cell function, as well as modulating insulin signaling (36). Dysregulated autophagy contributes to aberrant follicular development, anovulation (37), and insulin resistance (38) in PCOS patients. Additionally, impaired autophagy may disrupt steroidogenic enzyme activity in the ovaries and adrenal glands, leading to excessive androgen production. Autophagy also interacts closely with inflammatory pathways. By suppressing NOD-, LRR- and Pyrin domain-containing protein 3 (NLRP3) inflammasome activation, autophagy reduces the secretion of pro-inflammatory cytokines (e.g., IL-1β, IL-18), thereby mitigating chronic inflammation. Conversely, defective autophagy exacerbates inflammatory responses, further aggravating insulin resistance in women with PCOS (39).

3.3 Ferroptosis

Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, may play a key role in the pathogenesis of PCOS. In PCOS patients, ovarian granulosa cells frequently exhibit elevated oxidative stress markers (e.g., malondialdehyde, MDA) alongside reduced activity of antioxidant enzymes (e.g., superoxide dismutase, SOD, and glutathione peroxidase 4, GPX4). This imbalance renders granulosa cells vulnerable to ferroptosis, which can impair estrogen synthesis and disrupt follicular development (40). Hyperinsulinemia, a common feature of PCOS, exacerbates this process by upregulating transferrin receptor 1 (TFR1), thereby enhancing cellular iron uptake. Iron overload, in turn, worsens mitochondrial dysfunction and oxidative stress, creating a vicious cycle that further increases PCOS susceptibility (41). Additionally, the inflammatory microenvironment within the ovary—characterized by elevated levels of cytokines such as TNF-α and IL-6—can activate the NF-κB pathway, suppressing System Xc- expression and promoting lipid peroxidation, ultimately triggering ferroptosis (42).

Notably, androgen excess, a hallmark of PCOS, may also contribute to ferroptosis. Animal studies demonstrate that dihydrotestosterone (DHT) treatment upregulates ferroptosis-related markers (e.g., ACSL4) in ovarian cells, suggesting that androgens may exacerbate ferroptosis by modulating lipid metabolism genes (43). The resulting accumulation of (ROS further disrupts ovarian function, exacerbates insulin resistance, and heightens PCOS susceptibility (4447). Collectively, these findings indicate that ferroptosis contributes to ovarian dysfunction and systemic metabolic disturbances in PCOS through mechanisms involving oxidative damage, metabolic dysregulation, and inflammatory responses.

3.4 Epigenetic modifications

Growing evidence has elucidated the critical role of epigenetic modifications in the pathogenesis and progression of PCOS. These heritable molecular alterations regulate gene expression patterns and influence key pathophysiological processes, including ovarian dysfunction, hormonal dysregulation, and insulin signaling impairment, without modifying the underlying DNA sequence (48, 49).

Regarding DNA methylation, studies have demonstrated hypermethylation of the insulin receptor (INSR) promoter region in both ovarian and adipose tissues of PCOS patients, resulting in downregulated insulin receptor expression and aggravated insulin resistance (50). Furthermore, elevated methylation levels of peroxisome proliferator-activated receptor gamma (PPARG) suppress its transcriptional activity, impairing adipocyte differentiation and glucose homeostasis, which contributes to the development of obesity and metabolic syndrome in PCOS patients (51). In ovarian granulosa cells, hypermethylation of the steroidogenic enzyme cytochrome P450 family 19 subfamily A member 1 (CYP19A1) promoter reduces estrogen biosynthesis while relatively increasing androgen production, thereby exacerbating hyperandrogenemia (52). Notably, both hyperandrogenemia and chronic low-grade inflammation can modulate DNA methyltransferase (DNMT) activity, leading to aberrant methylation of the AMH promoter in granulosa cells and subsequent impairment of folliculogenesis in PCOS (50).

Concerning histone modifications, granulosa cells from PCOS patients exhibit enhanced histone deacetylase (HDAC) activity, which decreases acetylation levels of pro-inflammatory cytokines (e.g., TNF-α, IL-6) and suppresses their transcriptional activation. This epigenetic dysregulation perpetuates local inflammatory responses and accelerates follicular atresia (53).

Non-coding RNAs also contribute to PCOS pathogenesis. For instance, dysregulated miR-93-3p targets the PI3K/AKT signaling pathway, disrupting granulosa cell proliferation and apoptosis and ultimately arresting follicular development (54). Additionally, androgen excess upregulates miR-223, which suppresses glucose transporter type 4 (GLUT4) expression and worsens insulin resistance (55).

Above all, Epigenetic dysregulation in PCOS—including DNA methylation, histone modifications, and non-coding RNA alterations—disrupts ovarian function, hormone balance, and insulin signaling, contributing to hyperandrogenism, metabolic dysfunction, and impaired folliculogenesis.

3.5 Protein phosphorylation

Protein phosphorylation, a critical post-translational modification, plays a pivotal role in the pathogenesis of PCOS by modulating signal transduction, enzyme activity, and cellular functions. In PCOS patients, hyperphosphorylation of serine residues (e.g., Ser307, Ser636) on IRS-1/2 suppresses their tyrosine phosphorylation, thereby impairing the downstream PI3K/AKT signaling pathway. This disruption inhibits GLUT4 membrane translocation, exacerbating insulin resistance (56). Additionally, inflammatory cytokines such as TNF-α and IL-6 activate JNK and IKKβ kinases, further promoting IRS-1 serine phosphorylation and creating a vicious cycle that perpetuates insulin signaling dysfunction (57).

Phosphorylation-mediated regulation of steroidogenic enzymes also contributes to PCOS progression. 17α-hydroxylase (CYP17A1), the rate-limiting enzyme in androgen biosynthesis, is modulated by PKA and MAPK-dependent phosphorylation. In ovarian stromal cells of PCOS patients, LH enhances CYP17A1 phosphorylation via the cAMP/PKA pathway, upregulating 17α-hydroxylase and 17,20-lyase activities and leading to excessive production of androstenedione and testosterone (58). Conversely, FSH normally promotes granulosa cell proliferation and estrogen synthesis by inducing tyrosine phosphorylation of the FSH receptor (FSHR). However, in PCOS, reduced FSHR phosphorylation contributes to impaired follicular development and estrogen deficiency (59).

Moreover, excessive LHCGR activation may trigger premature luteinization of granulosa cells through ERK1/2-mediated phosphorylation, disrupting dominant follicle selection. In PCOS granulosa cells, elevated phosphorylation of the pro-apoptotic protein BAX, coupled with suppressed phosphorylation of the anti-apoptotic protein BCL-2, enhances mitochondrial pathway apoptosis, accelerating follicular atresia (60). Collectively, these findings highlight how dynamic protein phosphorylation governs insulin signaling, steroidogenesis, folliculogenesis, and inflammatory responses, underscoring its central role in PCOS pathophysiology.

3.6 Chronic low-grade inflammation

Chronic low-grade inflammation have been identified as a central component in the pathogenesis of PCOS, rather than mere accompanying phenomena. Chronic low-grade inflammation is a key contributor to PCOS pathogenesis. Chronic inflammation leads to dysfunction of the endometrium by influencing the proliferation and apoptosis of endometrial cells, thereby increasing the risks of endometrial hyperplasia, PCOS, and cancer (61). The local inflammatory microenvironment in the ovary, characterized by elevated levels of pro-inflammatory cytokines such as IL-18 and IL-1β, impairs the function of follicular granulosa cells and accelerates follicular atresia, ultimately contributing to polycystic-like morphological changes in the ovary (62). Furthermore, oxidative stress and inflammatory mediators, including TNF-α, act synergistically to disrupt mitochondrial function, compromising oocyte maturation in PCOS (63). Additionally, Inflammatory factors, including TNF-α and IL-6, inhibit tyrosine phosphorylation of insulin receptor substrates (IRS), thereby disrupting the insulin signaling pathway and diminishing insulin sensitivity. Inflammatory mediators also enhance androgen synthesis by upregulating steroidogenic enzymes such as steroidogenic acute regulatory protein (StAR) and CYP17A1 (28, 64). Above all, chronic inflammation leads to the occurrence and development of PCOS through multiple pathways such as affecting ovarian function, androgen synthesis, and insulin resistance. Against a background of genetic predisposition, environmental factors such as diet and stress trigger and sustain a chronic low-grade inflammatory state characterized by an imbalance between innate and adaptive immunity. This inflammatory state interacts reciprocally with hyperandrogenism, insulin resistance, and metabolic dysregulation, forming a self-reinforcing vicious cycle. Ultimately, this network drives ovarian dysfunction and a range of clinical manifestations.

3.7 Gut microbiota

The gut microbiota, often referred to as the human body’s “second genome” (65), plays a pivotal role in the pathogenesis of polycystic ovary syndrome (PCOS) through multiple pathways, including metabolite interactions, immune modulation, and endocrine signaling (66, 67). One key mechanism involves the gut microbiota’s regulation of bile acid metabolism via bile acid hydrolases and 7α-dehydrogenase, which convert primary bile acids into secondary bile acids. In PCOS patients, an overabundance of Bacteroides vulgatus disrupts the farnesoid X receptor (FXR) signaling pathway, leading to bile acid pool dysregulation and exacerbating insulin resistance and ovarian dysfunction (68).

Additionally, PCOS is associated with an increased abundance of Gram-negative bacteria (e.g., Enterobacteriaceae), which produce lipopolysaccharide (LPS). Elevated LPS levels compromise intestinal barrier integrity by downregulating tight junction proteins (e.g., ZO-1, occludin), resulting in intestinal permeability (“leaky gut”). Once translocated into systemic circulation, LPS activates toll-like receptor 4 (TLR4), triggering NF-κB-mediated release of proinflammatory cytokines (e.g., TNF-α, IL-6) and further aggravating insulin resistance and ovarian inflammation (69).

Sex hormone metabolism is also modulated by the gut microbiota. Through β-glucuronidase activity, gut microbes deconjugate bound androgens, increasing circulating free testosterone levels (70). In PCOS patients, the enrichment of Bacteroides and Prevotella species may exacerbate hyperandrogenemia via this mechanism (71). Furthermore, microbial β-glucuronidase and aromatase activities influence estrogen reabsorption and synthesis, leading to estrogen level fluctuations and hypothalamic-pituitary-ovarian (HPO) axis dysregulation (72).

Clinically, PCOS patients exhibit reduced gut microbial α-diversity, an elevated Bacteroidetes-to-Firmicutes ratio, and decreased abundance of beneficial bacteria such as Akkermansia muciniphila. These alterations correlate significantly with BMI, testosterone levels, and homeostatic model assessment of insulin resistance (HOMA-IR) (73). The gut microbiota also impacts neuroendocrine regulation: microbially derived neurotransmitters, including γ-aminobutyric acid (GABA) and serotonin (5-HT), can modulate hypothalamic GnRH pulsatility via vagal signaling. Notably, in PCOS patients, increased levels of GABA-producing genera (Bacteroides, Prevotella, and Escherichia) are positively associated with elevated serum LH/FSH ratios (74). Collectively, the gut microbiota acts as a critical nexus linking PCOS-related metabolic disturbances to reproductive dysfunction through its metabolites, immune interactions, and neuroendocrine networks.

4 The therapeutic targets and drugs of PCOS

Given the multifactorial pathogenesis of PCOS, therapeutic strategies rarely involve a single intervention. Current clinical practice emphasizes personalized treatment plans tailored to each patient’s predominant clinical manifestations. Evidence suggests that combination therapy integrating lifestyle modifications with pharmacological interventions yields superior metabolic outcomes compared to monotherapy, demonstrating significant improvements across multiple metabolic parameters and associated comorbidities.

4.1 Advanced glycation end products

AGEs play multifaceted roles in the pathogenesis of PCOS (7577). AGEs contribute to hyperandrogenism in PCOS by modulating the activity of key steroidogenic enzymes, including CYP11A, CYP17A1, and 3β-HSD (78). Additionally, AGEs disrupt intracellular insulin signaling and glucose transport in human granulosa cells, impairing ovarian function and follicular development (79). Notably, AGEs deposition is a hallmark feature across all PCOS phenotypes. The binding of AGEs to their membrane receptors triggers downstream signaling pathways, promoting oxidative stress, chronic inflammation, hyperandrogenemia, insulin resistance, and anovulatory dysfunction (76, 80).

Emerging therapeutic strategies focus on reducing AGEs accumulation to alleviate PCOS symptoms. Potential interventions include pharmacological agents (e.g., aminoguanidine, metformin, phenylthiazolidine, and pyridoxamine), dietary modifications (e.g., low-AGE diets), and regular physical exercise (75, 81, 82). Natural compounds, such as green tea polyphenols, exhibit potent anti-AGE activity, surpassing even aminoguanidine in efficacy (83). Therefore, developing anti-AGE molecules, adopting AGE-restricted diets, and incorporating exercise regimens may offer innovative approaches to mitigate AGEs-induced fertility impairments in PCOS patients.

4.2 SHBG

SHBG is a plasma glycoprotein primarily synthesized in the liver that binds to androgens and estrogens, regulating their bioavailability to target tissues. Circulating SHBG levels are inversely correlated with markers of non-alcoholic fatty liver disease (NAFLD) and insulin resistance (84). Reduced SHBG levels increase the bioavailability of androgens, contributing to ovarian dysfunction, anovulation, and the phenotypic manifestations of PCOS (85). Additionally, insulin resistance induces hyperinsulinemia, which further suppresses SHBG production, exacerbating reproductive dysfunction. Notably, insulin-sensitizing therapies (e.g., metformin) have been shown to elevate SHBG levels in women with PCOS, establishing SHBG as a reliable biomarker for insulin resistance (86, 87). Obesity, particularly during puberty, plays a critical role in PCOS development. Childhood obesity is an early indicator of insulin resistance and a predisposing factor for PCOS, partly due to obesity-mediated reductions in SHBG synthesis, which enhance testosterone bioavailability (88).

Combined oral contraceptives (COCs) are first-line treatments for PCOS, effectively lowering androgen levels and restoring menstrual regularity. For instance, COCs containing 30 μg ethinyl estradiol and 3 mg norgestrel have been shown to increase plasma SHBG from 37.31 nmol/L to 179.01 nmol/L. However, COC use is also associated with impaired fasting glucose, insulin resistance, and an elevated risk of thromboembolic events (85). Given its role in hormonal and metabolic regulation, SHBG serves as a valuable biomarker for early PCOS detection and intervention.

4.3 miRNA

Growing evidence highlights the therapeutic potential of miRNAs in PCOS (47, 8992). Studies have identified differential expression of specific miRNAs in women with PCOS compared to healthy controls, suggesting a key regulatory role in the pathogenesis and progression of the disorder. Aberrant miRNA expression has been observed in multiple tissues and biological fluids, including follicular cells, adipose tissue, follicular fluid, cumulus cells, granulosa cells, serum, and peripheral blood leukocytes of PCOS patients (93).

In PCOS, miRNAs modulate critical processes such as steroid hormone synthesis [84], follicular development and maturation (94), fatogenesis (95), and insulin signaling pathways (96). These dysregulations contribute to inflammation, impaired ovarian insulin sensitivity, hyperinsulinemia, and compromised oocyte quality. Notably, miRNAs influence oocyte development and follicular growth by regulating ovarian steroidogenesis, cell proliferation, and apoptosis, positioning them as potential biomarkers for assessing ovulatory dysfunction in PCOS (97).

Furthermore, miRNAs play a pivotal role in cholesterol homeostasis and lipid metabolism. Key miRNAs associated with low-density lipoprotein cholesterol (LDL-C) metabolism, adipogenesis, and BMI—including miR-21, miR-27b, miR-103, miR-155, miR-24, miR-29, and miR-502-3p—are dysregulated in PCOS (98, 99). Given the strong link between miRNA dysfunction, obesity, and dyslipidemia, targeting miRNAs presents a promising therapeutic strategy for alleviating metabolic complications in PCOS (100).

Potential miRNA-based interventions include restoring or suppressing miRNA activity using synthetic mimics or inhibitors (anti-miRs) (101, 102). Although no miRNA-targeting drugs are currently approved for PCOS, ongoing research into miRNA-related biomarkers offers novel avenues for developing precision therapies.

5 Conclusion

PCOS arises from the complex interplay of multiple factors, including genetic predisposition, metabolic disturbances, endocrine abnormalities, immune imbalance, and environmental influences. Clinically, PCOS patients typically present with ovarian dysfunction and dysregulated glucose and lipid metabolism. Emerging evidence suggests that the underlying pathophysiology involves oxidative stress, impaired autophagy, ferroptosis, protein post-translational modifications, chronic low-grade inflammation, and gut microbiota dysbiosis affecting ovarian, hepatic, and pancreatic tissues. Given the multifactorial nature of PCOS, therapeutic approaches require personalized strategies rather than single-modality interventions. Current management combines lifestyle modifications (anti-inflammatory diet, exercise) with pharmacological therapies targeting specific disease manifestations to address the diverse clinical presentations of PCOS. This comprehensive review elucidates the pathogenic mechanisms and identifies potential preventive targets for PCOS, thereby establishing a scientific foundation for developing effective treatment strategies. Future research directions may include the development of targeted drugs based on recently identified molecular targets such as AGEs, SHBG, and miRNAs, which show promising therapeutic potential.

Author contributions

YC: Writing – original draft, Software, Supervision, Funding acquisition. XS: Writing – review & editing, Investigation, Validation. XX: Validation, Writing – review & editing, Investigation. KC: Validation, Investigation, Writing – review & editing. FZ: Supervision, Writing – review & editing.

Funding

The author(s) declared financial support was received for this work and/or its publication. This work was supported by grants from the National Natural Science Foundation of China (No. 82404776).

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.

References

1. Teede HJ, Tay CT, Laven JJE, Dokras A, Moran LJ, Piltonen TT, et al. Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Eur J Endocrinol. (2023) 189:43–64. doi: 10.1093/ejendo/lvad096

PubMed Abstract | Crossref Full Text | Google Scholar

2. Stener-Victorin E, Teede H, Norman RJ, Legro R, Goodarzi MO, Dokras A, et al. Polycystic ovary syndrome. Nat Rev Dis Primers. (2024) 10:27. doi: 10.1038/s41572-024-00511-3

PubMed Abstract | Crossref Full Text | Google Scholar

3. Khan MJ, Ullah A, and Basit S. Genetic basis of polycystic ovary syndrome (PCOS): current perspectives. Appl Clin Genet. (2019) 12:249–60. doi: 10.2147/tacg.S200341

PubMed Abstract | Crossref Full Text | Google Scholar

4. Rosenfield RL and Ehrmann DA. The pathogenesis of polycystic ovary syndrome (PCOS): the hypothesis of pcos as functional ovarian hyperandrogenism revisited. Endocr Rev. (2016) 37:467–520. doi: 10.1210/er.2015-1104

PubMed Abstract | Crossref Full Text | Google Scholar

5. Gorsic LK, Dapas M, Legro RS, Hayes MG, and Urbanek M. Functional genetic variation in the anti-müllerian hormone pathway in women with polycystic ovary syndrome. J Clin Endocrinol Metab. (2019) 104:2855–74. doi: 10.1210/jc.2018-02178

PubMed Abstract | Crossref Full Text | Google Scholar

6. Dapas M, Sisk R, Legro RS, Urbanek M, Dunaif A, and Hayes MG. Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in polycystic ovary syndrome. J Clin Endocrinol Metab. (2019) 104:3835–50. doi: 10.1210/jc.2018-02496

PubMed Abstract | Crossref Full Text | Google Scholar

7. 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) 43:55–9. doi: 10.1038/ng.732

PubMed Abstract | Crossref Full Text | Google Scholar

8. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev. (1997) 18:774–800. doi: 10.1210/edrv.18.6.0318

PubMed Abstract | Crossref Full Text | Google Scholar

9. Joham AE, Norman RJ, Stener-Victorin E, Legro RS, Franks S, Moran LJ, et al. Polycystic ovary syndrome. Lancet Diabetes Endocrinol. (2022) 10:668–80. doi: 10.1016/s2213-8587(22)00163-2

PubMed Abstract | Crossref Full Text | Google Scholar

10. Diamanti-Kandarakis E and Dunaif A. Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr Rev. (2012) 33:981–1030. doi: 10.1210/er.2011-1034

PubMed Abstract | Crossref Full Text | Google Scholar

11. Lim SS, Hutchison SK, Van Ryswyk E, Norman RJ, Teede HJ, and Moran LJ. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst Rev. (2019) 3:Cd007506. doi: 10.1002/14651858.CD007506.pub4

PubMed Abstract | Crossref Full Text | Google Scholar

12. Azziz R, Sanchez LA, Knochenhauer ES, Moran C, Lazenby J, Stephens KC, et al. Androgen excess in women: experience with over 1000 consecutive patients. J Clin Endocrinol Metab. (2004) 89:453–62. doi: 10.1210/jc.2003-031122

PubMed Abstract | Crossref Full Text | Google Scholar

13. Taylor AE, McCourt B, Martin KA, Anderson EJ, Adams JM, Schoenfeld D, et al. Determinants of abnormal gonadotropin secretion in clinically defined women with polycystic ovary syndrome. J Clin Endocrinol Metab. (1997) 82:2248–56. doi: 10.1210/jcem.82.7.4105

PubMed Abstract | Crossref Full Text | Google Scholar

14. Garg D and Tal R. The role of AMH in the pathophysiology of polycystic ovarian syndrome. Reprod BioMed Online. (2016) 33:15–28. doi: 10.1016/j.rbmo.2016.04.007

PubMed Abstract | Crossref Full Text | Google Scholar

15. Abraham Gnanadass S, Divakar Prabhu Y, and Valsala Gopalakrishnan A. Association of metabolic and inflammatory markers with polycystic ovarian syndrome (PCOS): an update. Arch Gynecol Obstet. (2021) 303:631–43. doi: 10.1007/s00404-020-05951-2

PubMed Abstract | Crossref Full Text | Google Scholar

16. Han Y, Wu H, Sun S, Zhao R, Deng Y, Zeng S, et al. Effect of high fat diet on disease development of polycystic ovary syndrome and lifestyle intervention strategies. Nutrients. (2023) 15:2230. doi: 10.3390/nu15092230

PubMed Abstract | Crossref Full Text | Google Scholar

17. Dong Y, Yang S, Zhang S, Zhao Y, Li X, Han M, et al. Modulatory impact of Bifidobacterium longum subsp. longum BL21 on the gut-brain-ovary axis in polycystic ovary syndrome: insights into metabolic regulation, inflammation mitigation, and neuroprotection. mSphere. (2025) 10:e0088724. doi: 10.1128/msphere.00887-24

PubMed Abstract | Crossref Full Text | Google Scholar

18. Chen X, Hong L, Diao L, Yin T, and Liu S. Hyperandrogenic environment regulates the function of ovarian granulosa cells by modulating macrophage polarization in PCOS. Am J Reprod Immunol. (2024) 91:e13854. doi: 10.1111/aji.13854

PubMed Abstract | Crossref Full Text | Google Scholar

19. Yang Y, Xia J, Yang Z, Wu G, and Yang J. The abnormal level of HSP70 is related to Treg/Th17 imbalance in PCOS patients. J Ovarian Res. (2021) 14:155. doi: 10.1186/s13048-021-00867-0

PubMed Abstract | Crossref Full Text | Google Scholar

20. Deng H, Chen Y, Xing J, Zhang N, and Xu L. Systematic low-grade chronic inflammation and intrinsic mechanisms in polycystic ovary syndrome. Front Immunol. (2024) 15:1470283. doi: 10.3389/fimmu.2024.1470283

PubMed Abstract | Crossref Full Text | Google Scholar

21. Larsson SC and Burgess S. Appraising the causal role of smoking in multiple diseases: A systematic review and meta-analysis of Mendelian randomization studies. EBioMedicine. (2022) 82:104154. doi: 10.1016/j.ebiom.2022.104154

PubMed Abstract | Crossref Full Text | Google Scholar

22. Fernandez RC, Moore VM, Van Ryswyk EM, Varcoe TJ, Rodgers RJ, March WA, et al. Sleep disturbances in women with polycystic ovary syndrome: prevalence, pathophysiology, impact and management strategies. Nat Sci Sleep. (2018) 10:45–64. doi: 10.2147/nss.S127475

PubMed Abstract | Crossref Full Text | Google Scholar

23. Benson S, Arck PC, Tan S, Hahn S, Mann K, Rifaie N, et al. Disturbed stress responses in women with polycystic ovary syndrome. Psychoneuroendocrinology. (2009) 34:727–35. doi: 10.1016/j.psyneuen.2008.12.001

PubMed Abstract | Crossref Full Text | Google Scholar

24. Moran LJ, Ko H, Misso M, Marsh K, Noakes M, Talbot M, et al. Dietary composition in the treatment of polycystic ovary syndrome: a systematic review to inform evidence-based guidelines. Hum Reprod Update. (2013) 19:432. doi: 10.1093/humupd/dmt015

PubMed Abstract | Crossref Full Text | Google Scholar

25. Várbíró S, Takács I, Tűű L, Nas K, Sziva RE, Hetthéssy JR, et al. Effects of Vitamin D on fertility, pregnancy and polycystic ovary syndrome-a review. Nutrients. (2022) 14:1649. doi: 10.3390/nu14081649

PubMed Abstract | Crossref Full Text | Google Scholar

26. Murri M, Luque-Ramírez M, Insenser M, Ojeda-Ojeda M, and Escobar-Morreale HF. Circulating markers of oxidative stress and polycystic ovary syndrome (PCOS): a systematic review and meta-analysis. Hum Reprod Update. (2013) 19:268–88. doi: 10.1093/humupd/dms059

PubMed Abstract | Crossref Full Text | Google Scholar

27. Agarwal A, Gupta S, and Sharma R. Oxidative stress and its implications in female infertility - a clinician’s perspective. Reprod BioMed Online. (2005) 11:641–50. doi: 10.1016/s1472-6483(10)61174-1

PubMed Abstract | Crossref Full Text | Google Scholar

28. Diamanti-Kandarakis E, Katsikis I, Piperi C, Kandaraki E, Piouka A, Papavassiliou AG, et al. Increased serum advanced glycation end-products is a distinct finding in lean women with polycystic ovary syndrome (PCOS). Clin Endocrinol (Oxf). (2008) 69:634–41. doi: 10.1111/j.1365-2265.2008.03247.x

PubMed Abstract | Crossref Full Text | Google Scholar

29. Gao L, Zhao Y, Wu H, Lin X, Guo F, Li J, et al. Polycystic ovary syndrome fuels cardiovascular inflammation and aggravates ischemic cardiac injury. Circulation. (2023) 148:1958–73. doi: 10.1161/circulationaha.123.065827

PubMed Abstract | Crossref Full Text | Google Scholar

30. Camajani E, Feraco A, Verde L, Moriconi E, Marchetti M, Colao A, et al. Ketogenic diet as a possible non-pharmacological therapy in main endocrine diseases of the female reproductive system: a practical guide for nutritionists. Curr Obes Rep. (2023) 12:231–49. doi: 10.1007/s13679-023-00516-1

PubMed Abstract | Crossref Full Text | Google Scholar

31. Uçkan K, Demir H, Turan K, Sarıkaya E, and Demir C. Role of oxidative stress in obese and nonobese pcos patients. Int J Clin Pract. (2022) 2022:4579831. doi: 10.1155/2022/4579831

PubMed Abstract | Crossref Full Text | Google Scholar

32. Pruett JE, Everman SJ, Hoang NH, Salau F, Taylor LC, Edwards KS, et al. Mitochondrial function and oxidative stress in white adipose tissue in a rat model of PCOS: effect of SGLT2 inhibition. Biol Sex Differ. (2022) 13:45. doi: 10.1186/s13293-022-00455-x

PubMed Abstract | Crossref Full Text | Google Scholar

33. Jamilian M, Shojaei A, Samimi M, Afshar Ebrahimi F, Aghadavod E, Karamali M, et al. The effects of omega-3 and vitamin E co-supplementation on parameters of mental health and gene expression related to insulin and inflammation in subjects with polycystic ovary syndrome. J Affect Disord. (2018) 229:41–7. doi: 10.1016/j.jad.2017.12.049

PubMed Abstract | Crossref Full Text | Google Scholar

34. Samare-Najaf M, Neisy A, Samareh A, Moghadam D, Jamali N, Zarei R, et al. The constructive and destructive impact of autophagy on both genders’ reproducibility, a comprehensive review. Autophagy. (2023) 19:3033–61. doi: 10.1080/15548627.2023.2238577

PubMed Abstract | Crossref Full Text | Google Scholar

35. Kumariya S, Ubba V, Jha RK, and Gayen JR. Autophagy in ovary and polycystic ovary syndrome: role, dispute and future perspective. Autophagy. (2021) 17:2706–33. doi: 10.1080/15548627.2021.1938914

PubMed Abstract | Crossref Full Text | Google Scholar

36. Ji R, Zhang Z, Yang Z, Chen X, Yin T, and Yang J. BOP1 contributes to the activation of autophagy in polycystic ovary syndrome via nucleolar stress response. Cell Mol Life Sci. (2024) 81:101. doi: 10.1007/s00018-023-05091-1

PubMed Abstract | Crossref Full Text | Google Scholar

37. Gawriluk TR, Hale AN, Flaws JA, Dillon CP, Green DR, and Rucker EB 3rd. Autophagy is a cell survival program for female germ cells in the murine ovary. Reproduction. (2011) 141:759–65. doi: 10.1530/rep-10-0489

PubMed Abstract | Crossref Full Text | Google Scholar

38. Giangregorio F, Mosconi E, Debellis MG, Provini S, Esposito C, Garolfi M, et al. A systematic review of metabolic syndrome: key correlated pathologies and non-invasive diagnostic approaches. J Clin Med. (2024) 13:5880. doi: 10.3390/jcm13195880

PubMed Abstract | Crossref Full Text | Google Scholar

39. Levine B, Mizushima N, and Virgin HW. Autophagy in immunity and inflammation. Nature. (2011) 469:323–35. doi: 10.1038/nature09782

PubMed Abstract | Crossref Full Text | Google Scholar

40. Zhou Q, Ouyang X, Tang H, Wang Y, Hua Y, and Li L. Atractylodin alleviates polycystic ovary syndrome by inhibiting granule cells ferroptosis through pyruvate dehydrogenase kinase 4-mediated JAK-STAT3 pathway. Int Immunopharmacol. (2025) 146:113817. doi: 10.1016/j.intimp.2024.113817

PubMed Abstract | Crossref Full Text | Google Scholar

41. Huang X, Geng H, Liang C, Xiong X, Du X, Zhuan Q, et al. Leonurine restrains granulosa cell ferroptosis through SLC7A11/GPX4 axis to promote the treatment of polycystic ovary syndrome. Free Radic Biol Med. (2025) 226:330–47. doi: 10.1016/j.freeradbiomed.2024.11.021

PubMed Abstract | Crossref Full Text | Google Scholar

42. Eltokhy AK, El-Shaer RAA, El-Deeb OS, Farghal EE, Ibrahim RR, Elesawy R, et al. Synergistic effects of AgNPs and zileuton on PCOS via ferroptosis and inflammation mitigation. Redox Rep. (2025) 30:2445398. doi: 10.1080/13510002.2024.2445398

PubMed Abstract | Crossref Full Text | Google Scholar

43. Zhang Y, Hu M, Jia W, Liu G, Zhang J, Wang B, et al. Hyperandrogenism and insulin resistance modulate gravid uterine and placental ferroptosis in PCOS-like rats. J Endocrinol. (2020) 246:247–63. doi: 10.1530/joe-20-0155

PubMed Abstract | Crossref Full Text | Google Scholar

44. Li X, Lin Y, Cheng X, Yao G, Yao J, Hu S, et al. Ovarian ferroptosis induced by androgen is involved in pathogenesis of PCOS. Hum Reprod Open. (2024) 2024:hoae013. doi: 10.1093/hropen/hoae013

PubMed Abstract | Crossref Full Text | Google Scholar

45. Wang X, Wei Y, Wei F, and Kuang H. Regulatory mechanism and research progress of ferroptosis in obstetrical and gynecological diseases. Front Cell Dev Biol. (2023) 11:1146971. doi: 10.3389/fcell.2023.1146971

PubMed Abstract | Crossref Full Text | Google Scholar

46. Zhang D, Yi S, Cai B, Wang Z, Chen M, Zheng Z, et al. Involvement of ferroptosis in the granulosa cells proliferation of PCOS through the circRHBG/miR-515/SLC7A11 axis. Ann Transl Med. (2021) 9:1348. doi: 10.21037/atm-21-4174

PubMed Abstract | Crossref Full Text | Google Scholar

47. Tan W, Dai F, Yang D, Deng Z, Gu R, Zhao X, et al. MiR-93-5p promotes granulosa cell apoptosis and ferroptosis by the NF-kB signaling pathway in polycystic ovary syndrome. Front Immunol. (2022) 13:967151. doi: 10.3389/fimmu.2022.967151

PubMed Abstract | Crossref Full Text | Google Scholar

48. Wei H, Huo P, Liu S, Huang H, and Zhang S. Posttranslational modifications in pathogenesis of PCOS. Front Endocrinol (Lausanne). (2022) 13:1024320. doi: 10.3389/fendo.2022.1024320

PubMed Abstract | Crossref Full Text | Google Scholar

49. Gill V, Kumar V, Singh K, Kumar A, and Kim JJ. Advanced glycation end products (ages) may be a striking link between modern diet and health. Biomolecules. (2019) 9:888. doi: 10.3390/biom9120888

PubMed Abstract | Crossref Full Text | Google Scholar

50. Zhong X, Jin F, Huang C, Du M, Gao M, and Wei X. DNA methylation of AMHRII and INSR gene is associated with the pathogenesis of polycystic ovary syndrome (PCOS). Technol Health Care. (2021) 29:11–25. doi: 10.3233/thc-218002

PubMed Abstract | Crossref Full Text | Google Scholar

51. Stueve TR, Wolff MS, Pajak A, Teitelbaum SL, and Chen J. CYP19A1 promoter methylation in saliva associated with milestones of pubertal timing in urban girls. BMC Pediatr. (2014) 14:78. doi: 10.1186/1471-2431-14-78

PubMed Abstract | Crossref Full Text | Google Scholar

52. Hosseini E, Shahhoseini M, Afsharian P, Karimian L, Ashrafi M, Mehraein F, et al. Role of epigenetic modifications in the aberrant CYP19A1 gene expression in polycystic ovary syndrome. Arch Med Sci. (2019) 15:887–95. doi: 10.5114/aoms.2019.86060

PubMed Abstract | Crossref Full Text | Google Scholar

53. Mehta A, Ravinder, Onteru SK, and Singh D. HDAC inhibitor prevents LPS mediated inhibition of CYP19A1 expression and 17β-estradiol production in granulosa cells. Mol Cell Endocrinol. (2015) 414:73–81. doi: 10.1016/j.mce.2015.07.002

PubMed Abstract | Crossref Full Text | Google Scholar

54. Liao Z, Zhou Y, Tao W, Shen L, Qian K, and Zhang H. Correlation between the follicular fluid extracellular-vesicle-derived microRNAs and signaling disturbance in the oocytes of women with polycystic ovary syndrome. J Ovarian Res. (2025) 18:31. doi: 10.1186/s13048-025-01619-0

PubMed Abstract | Crossref Full Text | Google Scholar

55. Liu J, Zhao Y, Chen L, Li R, Ning Y, and Zhu X. Role of metformin in functional endometrial hyperplasia and polycystic ovary syndrome involves the regulation of MEG3/miR−223/GLUT4 and SNHG20/miR−4486/GLUT4 signaling. Mol Med Rep. (2022) 26:218. doi: 10.3892/mmr.2022.12734

PubMed Abstract | Crossref Full Text | Google Scholar

56. Li X, Zhu Q, Wang W, Qi J, He Y, Wang Y, et al. Elevated chemerin induces insulin resistance in human granulosa-lutein cells from polycystic ovary syndrome patients. FASEB J. (2019) 33:11303–13. doi: 10.1096/fj.201802829R

PubMed Abstract | Crossref Full Text | Google Scholar

57. Oróstica L, Poblete C, Romero C, and Vega M. Pro-inflammatory markers negatively regulate IRS1 in endometrial cells and endometrium from women with obesity and PCOS. Reprod Sci. (2020) 27:290–300. doi: 10.1007/s43032-019-00026-3

PubMed Abstract | Crossref Full Text | Google Scholar

58. Zhu W, Han B, Fan M, Wang N, Wang H, Zhu H, et al. Oxidative stress increases the 17,20-lyase-catalyzing activity of adrenal P450c17 through p38α in the development of hyperandrogenism. Mol Cell Endocrinol. (2019) 484:25–33. doi: 10.1016/j.mce.2019.01.020

PubMed Abstract | Crossref Full Text | Google Scholar

59. Wang N, Si C, Xia L, Wu X, Zhao S, Xu H, et al. TRIB3 regulates FSHR expression in human granulosa cells under high levels of free fatty acids. Reprod Biol Endocrinol. (2021) 19:139. doi: 10.1186/s12958-021-00823-z

PubMed Abstract | Crossref Full Text | Google Scholar

60. Li X, He Y, Yan Q, Kuai D, Zhang H, Wang Y, et al. Dihydrotestosterone induces reactive oxygen species accumulation and mitochondrial fission leading to apoptosis of granulosa cells. Toxicology. (2024) 509:153958. doi: 10.1016/j.tox.2024.153958

PubMed Abstract | Crossref Full Text | Google Scholar

61. Palomba S, Piltonen TT, and Giudice LC. Endometrial function in women with polycystic ovary syndrome: a comprehensive review. Hum Reprod Update. (2021) 27:584–618. doi: 10.1093/humupd/dmaa051

PubMed Abstract | Crossref Full Text | Google Scholar

62. Reinehr T, Wolters B, Knop C, Lass N, and Holl RW. Strong effect of pubertal status on metabolic health in obese children: a longitudinal study. J Clin Endocrinol Metab. (2015) 100:301–8. doi: 10.1210/jc.2014-2674%

PubMed Abstract | Crossref Full Text | Google Scholar

63. Sun MX, Qiao FX, Xu ZR, Liu YC, Xu CL, Wang HL, et al. Aristolochic acid I exposure triggers ovarian dysfunction by activating NLRP3 inflammasome and affecting mitochondrial homeostasis. Free Radic Biol Med. (2023) 204:313–24. doi: 10.1016/j.freeradbiomed.2023.05.009

PubMed Abstract | Crossref Full Text | Google Scholar

64. Liu Y, Li Z, Wang Y, Cai Q, Liu H, Xu C, et al. IL-15 participates in the pathogenesis of polycystic ovary syndrome by affecting the activity of granulosa cells. Front Endocrinol (Lausanne). (2022) 13:787876. doi: 10.3389/fendo.2022.787876

PubMed Abstract | Crossref Full Text | Google Scholar

65. Grice EA and Segre JA. The human microbiome: our second genome. Annu Rev Genomics Hum Genet. (2012) 13:151–70. doi: 10.1146/annurev-genom-090711-163814

PubMed Abstract | Crossref Full Text | Google Scholar

66. Sun Y, Gao S, Ye C, and Zhao W. Gut microbiota dysbiosis in polycystic ovary syndrome: Mechanisms of progression and clinical applications. Front Cell Infect Microbiol. (2023) 13:1142041. doi: 10.3389/fcimb.2023.1142041

PubMed Abstract | Crossref Full Text | Google Scholar

67. Gu Y, Zhou G, Zhou F, Li Y, Wu Q, He H, et al. Gut and vaginal microbiomes in pcos: implications for women’s health. Front Endocrinol (Lausanne). (2022) 13:808508. doi: 10.3389/fendo.2022.808508

PubMed Abstract | Crossref Full Text | Google Scholar

68. Yun C, Yan S, Liao B, Ding Y, Qi X, Zhao M, et al. The microbial metabolite agmatine acts as an FXR agonist to promote polycystic ovary syndrome in female mice. Nat Metab. (2024) 6:947–62. doi: 10.1038/s42255-024-01041-8

PubMed Abstract | Crossref Full Text | Google Scholar

69. Zhang H, He Z, Chen Y, Chao J, Cheng X, Mao J, et al. Cordyceps polysaccharide improves polycystic ovary syndrome by inhibiting gut-derived LPS/TLR4 pathway to attenuates insulin resistance. Int J Biol Macromol. (2024) 280:135844. doi: 10.1016/j.ijbiomac.2024.135844

PubMed Abstract | Crossref Full Text | Google Scholar

70. Sullivan O, Sie C, Ng KM, Cotton S, Rosete C, Hamden JE, et al. Early-life gut inflammation drives sex-dependent shifts in the microbiome-endocrine-brain axis. Brain Behav Immun. (2025) 125:117–39. doi: 10.1016/j.bbi.2024.12.003

PubMed Abstract | Crossref Full Text | Google Scholar

71. Chen K, Geng H, Ye C, and Liu J. Dysbiotic alteration in the fecal microbiota of patients with polycystic ovary syndrome. Microbiol Spectr. (2024) 12:e0429123. doi: 10.1128/spectrum.04291-23

PubMed Abstract | Crossref Full Text | Google Scholar

72. Hu S, Ding Q, Zhang W, Kang M, Ma J, and Zhao L. Gut microbial beta-glucuronidase: a vital regulator in female estrogen metabolism. Gut Microbes. (2023) 15:2236749. doi: 10.1080/19490976.2023.2236749

PubMed Abstract | Crossref Full Text | Google Scholar

73. Liu R, Zhang C, Shi Y, Zhang F, Li L, Wang X, et al. Dysbiosis of gut microbiota associated with clinical parameters in polycystic ovary syndrome. Front Microbiol. (2017) 8:324. doi: 10.3389/fmicb.2017.00324

PubMed Abstract | Crossref Full Text | Google Scholar

74. Liang Z, Di N, Li L, and Yang D. Gut microbiota alterations reveal potential gut-brain axis changes in polycystic ovary syndrome. J Endocrinol Invest. (2021) 44:1727–37. doi: 10.1007/s40618-020-01481-5

PubMed Abstract | Crossref Full Text | Google Scholar

75. Tatone C, Di Emidio G, Placidi M, Rossi G, Ruggieri S, Taccaliti C, et al. AGEs-related dysfunctions in PCOS: evidence from animal and clinical research. J Endocrinol. (2021) 251:R1–r9. doi: 10.1530/joe-21-0143

PubMed Abstract | Crossref Full Text | Google Scholar

76. Merhi Z, Kandaraki EA, and Diamanti-Kandarakis E. Implications and future perspectives of AGEs in PCOS pathophysiology. Trends Endocrinol Metab. (2019) 30:150–62. doi: 10.1016/j.tem.2019.01.005

PubMed Abstract | Crossref Full Text | Google Scholar

77. Rutkowska AZ and Diamanti-Kandarakis E. Do advanced glycation end products (AGEs) contribute to the comorbidities of polycystic ovary syndrome (PCOS)? Curr Pharm Des. (2016) 22:5558–71. doi: 10.2174/1381612822666160714094404

PubMed Abstract | Crossref Full Text | Google Scholar

78. Garg D and Merhi Z. Relationship between advanced glycation end products and steroidogenesis in PCOS. Reprod Biol Endocrinol. (2016) 14:71. doi: 10.1186/s12958-016-0205-6

PubMed Abstract | Crossref Full Text | Google Scholar

79. Diamanti-Kandarakis E, Chatzigeorgiou A, Papageorgiou E, Koundouras D, and Koutsilieris M. Advanced glycation end-products and insulin signaling in granulosa cells. Exp Biol Med (Maywood). (2016) 241:1438–45. doi: 10.1177/1535370215584937

PubMed Abstract | Crossref Full Text | Google Scholar

80. Mouanness M and Merhi Z. Impact of dietary advanced glycation end products on female reproduction: review of potential mechanistic pathways. Nutrients. (2022) 14.:966 doi: 10.3390/nu14050966

PubMed Abstract | Crossref Full Text | Google Scholar

81. Ishibashi Y, Matsui T, Takeuchi M, and Yamagishi S. Metformin inhibits advanced glycation end products (AGEs)-induced renal tubular cell injury by suppressing reactive oxygen species generation via reducing receptor for AGEs (RAGE) expression. Horm Metab Res. (2012) 44:891–5. doi: 10.1055/s-0032-1321878

PubMed Abstract | Crossref Full Text | Google Scholar

82. Magdaleno F, Blajszczak CC, Charles-Niño CL, Guadrón-Llanos AM, Vázquez-Álvarez AO, Miranda-Díaz AG, et al. Aminoguanidine reduces diabetes-associated cardiac fibrosis. Exp Ther Med. (2019) 18:3125–38. doi: 10.3892/etm.2019.7921

PubMed Abstract | Crossref Full Text | Google Scholar

83. Rasheed Z, Anbazhagan AN, Akhtar N, Ramamurthy S, Voss FR, and Haqqi TM. Green tea polyphenol epigallocatechin-3-gallate inhibits advanced glycation end product-induced expression of tumor necrosis factor-alpha and matrix metalloproteinase-13 in human chondrocytes. Arthritis Res Ther. (2009) 11:R71. doi: 10.1186/ar2700

PubMed Abstract | Crossref Full Text | Google Scholar

84. Dong J, Liu C, Lu J, Wang L, Xie S, Ji L, et al. The relationship between sex hormone-binding protein and non-alcoholic fatty liver disease using Mendelian randomisation. Eur J Clin Invest. (2024) 54:e14082. doi: 10.1111/eci.14082

PubMed Abstract | Crossref Full Text | Google Scholar

85. Qu X and Donnelly R. Sex hormone-binding globulin (SHBG) as an early biomarker and therapeutic target in polycystic ovary syndrome. Int J Mol Sci. (2020) 21:8191. doi: 10.3390/ijms21218191

PubMed Abstract | Crossref Full Text | Google Scholar

86. Li Y, Fang L, Yan Y, Wang Z, Wu Z, Jia Q, et al. Association between human SHBG gene polymorphisms and risk of PCOS: a meta-analysis. Reprod BioMed Online. (2021) 42:227–36. doi: 10.1016/j.rbmo.2020.10.003

PubMed Abstract | Crossref Full Text | Google Scholar

87. Calzada M, López N, Noguera JA, Mendiola J, Hernández AI, Corbalán S, et al. AMH in combination with SHBG for the diagnosis of polycystic ovary syndrome. J Obstet Gynaecol. (2019) 39:1130–6. doi: 10.1080/01443615.2019.1587604

PubMed Abstract | Crossref Full Text | Google Scholar

88. Zhang H, Qiu W, Zhou P, Shi L, Chen Z, Yang Y, et al. Obesity is associated with SHBG levels rather than blood lipid profiles in PCOS patients with insulin resistance. BMC Endocr Disord. (2024) 24:254. doi: 10.1186/s12902-024-01789-w

PubMed Abstract | Crossref Full Text | Google Scholar

89. Liu Y, Zhang S, Chen L, Huang X, Wang M, Ponikwicka-Tyszko D, et al. The molecular mechanism of miR-96-5p in the pathogenesis and treatment of polycystic ovary syndrome. Transl Res. (2023) 256:1–13. doi: 10.1016/j.trsl.2022.12.007

PubMed Abstract | Crossref Full Text | Google Scholar

90. Chen B, Xu P, Wang J, and Zhang C. The role of MiRNA in polycystic ovary syndrome (PCOS). Gene. (2019) 706:91–6. doi: 10.1016/j.gene.2019.04.082

PubMed Abstract | Crossref Full Text | Google Scholar

91. Yu Y, Li G, He X, Lin Y, Chen Z, Lin X, et al. MicroRNA-21 regulate the cell apoptosis and cell proliferation of polycystic ovary syndrome (PCOS) granulosa cells through target toll like receptor TLR8. Bioengineered. (2021) 12:5789–96. doi: 10.1080/21655979.2021.1969193

PubMed Abstract | Crossref Full Text | Google Scholar

92. Yang Z, Liu F, Bai J, Ye Z, Yin J, Peng T, et al. Circ_0115118 regulates endometrial functions through the miR-138-1-3p/WDFY2 axis in patients with PCOS. Biol Reprod. (2023) 108:744–57. doi: 10.1093/biolre/ioad017

PubMed Abstract | Crossref Full Text | Google Scholar

93. Sørensen AE, Wissing ML, Salö S, Englund AL, and Dalgaard LT. Micrornas related to polycystic ovary syndrome (PCOS). Genes (Basel). (2014) 5:684–708. doi: 10.3390/genes5030684

PubMed Abstract | Crossref Full Text | Google Scholar

94. Cao J, Huo P, Cui K, Wei H, Cao J, Wang J, et al. Follicular fluid-derived exosomal miR-143-3p/miR-155-5p regulate follicular dysplasia by modulating glycolysis in granulosa cells in polycystic ovary syndrome. Cell Commun Signal. (2022) 20:61. doi: 10.1186/s12964-022-00876-6

PubMed Abstract | Crossref Full Text | Google Scholar

95. Rezq S, Huffman AM, Basnet J, Alsemeh AE, do Carmo JM, Yanes Cardozo LL, et al. MicroRNA-21 modulates brown adipose tissue adipogenesis and thermogenesis in a mouse model of polycystic ovary syndrome. Biol Sex Differ. (2024) 15:53. doi: 10.1186/s13293-024-00630-2

PubMed Abstract | Crossref Full Text | Google Scholar

96. Qin Y, Wang Y, Zhao H, Yang Z, and Kang Y. Aberrant miRNA-mRNA regulatory network in polycystic ovary syndrome is associated with markers of insulin sensitivity and inflammation. Ann Transl Med. (2021) 9:1405. doi: 10.21037/atm-21-1288

PubMed Abstract | Crossref Full Text | Google Scholar

97. Tu J, Cheung AH, Chan CL, and Chan WY. The role of micrornas in ovarian granulosa cells in health and disease. Front Endocrinol (Lausanne). (2019) 10:174. doi: 10.3389/fendo.2019.00174

PubMed Abstract | Crossref Full Text | Google Scholar

98. Nanda D, Chandrasekaran SP, Ramachandran V, Kalaivanan K, and Carani Venkatraman A. Evaluation of serum mirna-24, mirna-29a and mirna-502-3p expression in PCOS subjects: correlation with biochemical parameters related to PCOS and insulin resistance. Indian J Clin Biochem. (2020) 35:169–78. doi: 10.1007/s12291-018-0808-0

PubMed Abstract | Crossref Full Text | Google Scholar

99. Murri M, Insenser M, Fernández-Durán E, San-Millán JL, and Escobar-Morreale HF. Effects of polycystic ovary syndrome (PCOS), sex hormones, and obesity on circulating miRNA-21, miRNA-27b, miRNA-103, and miRNA-155 expression. J Clin Endocrinol Metab. (2013) 98:E1835–44. doi: 10.1210/jc.2013-2218

PubMed Abstract | Crossref Full Text | Google Scholar

100. Rashid G, Khan NA, Elsori D, Youness RA, Hassan H, Siwan D, et al. miRNA expression in PCOS: unveiling a paradigm shift toward biomarker discovery. Arch Gynecol Obstet. (2024) 309:1707–23. doi: 10.1007/s00404-024-07379-4

PubMed Abstract | Crossref Full Text | Google Scholar

101. Abdalla M, Deshmukh H, Atkin SL, and Sathyapalan T. miRNAs as a novel clinical biomarker and therapeutic targets in polycystic ovary syndrome (PCOS): A review. Life Sci. (2020) 259:118174. doi: 10.1016/j.lfs.2020.118174

PubMed Abstract | Crossref Full Text | Google Scholar

102. Hadidi M, Karimabadi K, Ghanbari E, Rezakhani L, and Khazaei M. Stem cells and exosomes: as biological agents in the diagnosis and treatment of polycystic ovary syndrome (PCOS). Front Endocrinol (Lausanne). (2023) 14:1269266. doi: 10.3389/fendo.2023.1269266

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: epigenetic modifications, gut microbiota, metabolic dysfunction, polycystic ovary syndrome, therapeutic targets and drugs

Citation: Chen Y, Sun X, Xia X, Chen K and Zeng F (2026) The pathogenesis, therapeutic targets and drugs of polycystic ovary syndrome. Front. Endocrinol. 16:1722649. doi: 10.3389/fendo.2025.1722649

Received: 11 October 2025; Accepted: 30 December 2025; Revised: 07 December 2025;
Published: 26 January 2026.

Edited by:

Paweł Grzmil, Jagiellonian University, Poland

Reviewed by:

Abhijit G. Banerjee, CGBMRI, India

Copyright © 2026 Chen, Sun, Xia, Chen and Zeng. 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: Fang Zeng, ZmFuY3l6ZW5nQDEyNi5jb20=

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.