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Human Reproduction Open logoLink to Human Reproduction Open
. 2025 Mar 28;2025(2):hoaf019. doi: 10.1093/hropen/hoaf019

Effects of maternal poor ovarian response on the reproductive endocrine profiles of the next generation: a prospective cohort study in China

Wanbing Feng 1,2,3,4,5,6,7, Yujia Ren 8,9,10,11,12,13,14, Jiayi Zhou 15,16,17,18,19,20,21, Hanbing Zhu 22,23,24,25,26,27,28, Han Zhao 29,30,31,32,33,34,35, Yingying Qin 36,37,38,39,40,41,42, Jing Li 43,44,45,46,47,48,49, Mingdi Xia 50,51,52,53,54,55,56, Lihong Xu 57, Mei Li 58,59,60,61,62,63,64, Huidan Wang 65,66,67,68,69,70,71,, Linlin Cui 72,73,74,75,76,77,78,, Zi-Jiang Chen 79,80,81,82,83,84,85,86,87
PMCID: PMC12080958  PMID: 40376141

Abstract

STUDY QUESTION

Do offspring born to mothers with poor ovarian response (POR) have alterations in their reproductive endocrine profile at 2–6 years of age compared to those born to mothers with normal ovarian response?

SUMMARY ANSWER

Female offspring born to young mothers (<35 years) with expected POR were more likely to have low serum anti-Müllerian hormone (AMH) levels in childhood.

WHAT IS KNOWN ALREADY

POR affects 32–43% of women in infertility clinics. Genetic susceptibility and potentially adverse intrauterine environments pose threats to the next generation. However, there is currently no direct evidence of intergenerational reproductive effects associated with POR.

STUDY DESIGN, SIZE, DURATION

We conducted a prospective cohort study to investigate the intergenerational effects of maternal POR on reproductive endocrine health of offspring. Data were obtained from ‘Assisted Reproductive Technology-born KIDs (ARTKID)’, a birth cohort established in 2013 at a tertiary care center in China. A total of 3103 offspring, aged 2–6, born between 2013 and 2019, were recruited and included in our study until 2021. The exposed offspring conceived by ART were classified into four groups based on their mothers’ categorization using the Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number (POSEIDON) criteria. The unexposed offspring were born to mothers with normal ovarian response after ART.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Offspring conceived by ART provided blood samples at 2–6 years for the assessment of reproductive endocrine parameters. Mean difference and 95% CI were obtained based on a linear mixed model. The adjusted model accounted for paternal age, maternal age, offspring age, paternal smoking, use of ICSI, and frozen embryo transfer.

MAIN RESULTS AND THE ROLE OF CHANCE

Female offspring born to young mothers with expected POR (POSEIDON Group 3) had lower AMH and PRL (prolactin) levels in childhood compared to controls (AMH: adjusted mean difference [AMD] = −0.64, 95% CI = −1.10, −0.18; PRL: AMD = −1.59, 95% CI = −2.97, −0.21). Female offspring born to older mothers (≥35 years) with expected POR (POSEIDON Group 4) showed a decreasing trend in AMH levels, though this difference was not statistically significant compared to controls [AMD = −0.60, 95% CI = −1.31, −0.12]. Female offspring born to young mothers with unexpected POR (POSEIDON Group 1) had lower DHEA-S (dehydroepiandrosterone sulfate) levels than controls [AMD = −1.38, 95% CI = −2.58, −0.17]. In contrast, male offspring born to POR mothers showed similar reproductive endocrine profiles as controls.

LIMITATIONS, REASONS FOR CAUTION

The offspring were aged 2–6 years, limiting the ability to assess comprehensive reproductive phenotypic changes. Longer follow-up studies are necessary.

WIDER IMPLICATIONS OF THE FINDINGS

The potential effects of maternal POR on reproductive endocrine profiles of offspring may be primarily linked to ovarian reserve. Genetic susceptibility, hypoandrogenism, and other intrauterine environmental factors may be probable explanations for reduction in AMH levels observed in female offspring born to young mothers with expected POR.

STUDY FUNDING/COMPETING INTEREST(S)

This study was supported by the National Key Research and Development Program of China (2022YFC2703000, 2022YFC2704404, 2024YFC2706902, 2022YFC2702905, 2024YFC2706700), CAMS Innovation Fund for Medical Sciences (2021-I2M-5-001), Shandong Provincial Natural Science Foundation (ZR2022JQ33), the Fundamental Research Funds of Shandong University (2023QNTD004), the National Special Support Program for High-level Talents, the Health Science and Technology Innovation Team Construction Project of Shandong Province, and the Taishan Scholars Program for Young Experts of Shandong Province (tsqn201909195). The authors declare that they have no competing interests.

TRIAL REGISTRATION NUMBER

N/A.

Keywords: poor ovarian response, offspring health, ovarian reserve, anti-Müllerian hormone, reproductive endocrine, POSEIDON criteria


WHAT DOES THIS MEAN FOR PATIENTS?

Poor ovarian response (POR) is a condition that affects nearly half of women undergoing fertility treatment and is one of the main obstacles to having successful pregnancies. POR means that a woman’s ovaries don’t respond well to fertility treatments, producing fewer eggs. Studies have suggested that both genetic factors and environmental influences could affect the reproductive health of future generations, regardless of whether they are sons or daughters. This raises concerns about the potential effect of a mother’s POR condition on the fertility of her children.

This study, conducted in China, focused on mother–child pairs. Over several years, it was found that daughters born to young mothers (age <35 years) with low ovarian reserve (a condition where fewer eggs remain in the ovaries, a type of POR) were likely to have lower levels of a hormone called anti-Müllerian hormone (which is used to measure a woman’s fertility) than daughters of women not suffering from POR. This suggests that a mother’s fertility could affect her daughter’s future fertility, possibly leading to challenges in having children later in life. No significant effects were found in male children.

For these patients (age <35 years with low ovarian reserve), these findings suggest that fertility problems might affect future generations, particularly daughters. Further studies are needed to track how their daughters’ fertility may change as they grow older.

Introduction

Poor ovarian response (POR) is one of the most challenging obstacles in infertility clinics. The condition is characterized by poor response to ovarian stimulation, affecting 32–43% of women undergoing IVF according to the POSEIDON (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number) criteria (Li et al., 2019; Esteves et al., 2021a; Cedars, 2022). The POSEIDON criteria classify patients with POR into four groups based on their age, ovarian reserve markers such as anti-Müllerian hormone (AMH) and/or antral follicle count (AFC), and the number of oocytes retrieved if the patient has previously undergone standard ovarian stimulation, with each group representing different pathophysiological conditions (Alviggi et al., 2016). The POSEIDON criteria stratify women with POR into two main categories: ‘unexpected POR’ (groups 1 and 2 with normal ovarian reserve) and ‘expected POR’ (groups 3 and 4 with decreased ovarian reserve). Due to the limited number of oocytes retrieved, the cumulative live birth rate (CLBR) of women with POR remains substantially low (Yang et al., 2020; Esteves et al., 2021b; Yan et al., 2023). However, in addition to considering successful delivery outcomes, it is essential to also focus on the health of their offspring.

Accumulating evidence has suggested that, owing to decreased oocyte quantity and quality, women with POR show adverse pregnancy outcomes compared to the normal responders, including higher aneuploid blastocyst and clinical miscarriage rates (Sunkara et al., 2014; Shahine et al., 2016; Jaswa et al., 2021; Bahadur et al., 2023). Observational studies have found that women with diminished ovarian reserve (AFC ≤ 6/FSH ≥ 10 IU/L and AMH < 1.2 ng/ml) have a higher incidence of pregnancy with obstetric complications, including hypertensive disorders of pregnancy, multiple placental fetal vascular lesions, and preterm birth (Woldringh et al., 2006; Yang et al., 2019; Han et al., 2021; Ganer Herman et al., 2023). Moreover, adverse early-life factors have been associated with the reproductive health of both female and male offspring (Swamy et al., 2008; Dior et al., 2021; van der Pal et al., 2021; Laru et al., 2022). However, the long-term reproductive health of offspring born to mothers with POR, as defined by the POSEIDON criteria, has received limited attention.

It has been recognized that there are intergenerational trends in the causes and outcomes of infertility (Woolner and Bhattacharya, 2023). Several single-gene mutations, genetic polymorphisms, and epigenetic changes are associated with POR, supporting the genetic susceptibility of this condition (Greene et al., 2014; Nesbit et al., 2020; Olsen et al., 2021). Women in expected POR groups with low ovarian reserve are more likely to experience earlier menopause (Freeman et al., 2012). Previous population studies have suggested that mothers who experienced menopause earlier may have daughters with lower ovarian reserves (Rosen et al., 2010; Bentzen et al., 2013). Moreover, women with POR often exhibit a deficiency in basal testosterone (T) (Qin et al., 2011; Xiao et al., 2016), which may persist into pregnancy and result in adverse intrauterine environmental changes. Additionally, the use of antiandrogens during late gestation has been shown to adversely impact reproductive organ development in male rat offspring (McIntyre et al., 2001; Pallarés et al., 2014; Mentessidou et al., 2021). All these findings imply possible unfavorable reproductive health changes in offspring born to mothers with POR. However, to the best of our knowledge, no direct evidence of the intergenerational effects of POR currently exists.

Therefore, we conducted a prospective cohort study to explore the impact of maternal POR on the reproductive endocrine health of their offspring from the ages of 2–6 years. The study aimed to provide valuable insights into the guidance for monitoring and managing long-term reproductive health in individuals born to mothers with POR.

Materials and methods

Ethical approval

The study was approved by the Reproductive Medicine Ethics Committee, Hospital for Reproductive Medicine Affiliated to Shandong University. All parents signed informed consent forms with the assent of the child.

Study design and participants

Participating offspring are part of the ‘Assisted Reproductive Technology-born KIDs (ARTKID)’ cohort, a longitudinal prospective birth cohort of offspring born via ART at the Institute of Women, Children and Reproductive Health, Shandong University, China. The details of the cohort design have been presented in our previous article (Zhou et al., 2024). The ‘ARTKID’ cohort focuses on the growth, endocrine, and metabolic health of offspring. Offspring who did not undergo growth assessments were classified as lost to follow-up. During face-to-face visits, children’s height and weight were measured, relevant questionnaires were completed, and blood samples were collected.

The offspring included in this study were born between 2013 and 2019, and the follow-up period lasted until August 2021. The study included singleton offspring conceived via IVF or ICSI. Mothers who underwent preimplantation genetic testing, gamete intrauterine transfer, in vitro maturation (IVM), sperm donation, sperm freezing, oocyte donation, or minimal or natural ovarian stimulation cycles were excluded from the analysis. Also excluded were those with parental chromosomal abnormalities, maternal polycystic ovarian syndrome (Li et al., 2020), or missing AMH values.

In total, 9483 mother–offspring pairs from the entire ‘ARTKID’ cohort met the inclusion criteria. Among these, 5734 individuals completed growth assessments, resulting in a follow-up rate of 60.5% (5734/9483) as of August 2021. Furthermore, 1285 children born to mothers with POR and 1818 children born to mothers without POR provided blood samples for the assessment of reproductive endocrine parameters and were included in the present analysis. Our longitudinal study utilized a follow-up design conducted at three specific age ranges: 2.0–2.4 years, 2.5–3.9 years, and 4.0–5.9 years. Each offspring was required to be followed up at least once. Most offspring participated only once, while some returned for follow-up assessments twice (836 children) or three times (125 children). The mean duration of follow-up across the cohort was 2.9 years, with a SD of 0.9 years and a range from 2 to 6 years. The flowchart illustrating this process is presented in Fig. 1.

Figure 1.

Figure 1.

Flowchart of the study. Blue represents pregnant mothers with unexpected POR. Red represents pregnant mothers with expected POR. Gray represents pregnant mothers without POR. Pale shades indicate the older individuals within the same group. AMH, anti-Müllerian hormone; ARTKID, Assisted Reproductive Technology-born KIDs; GIUT, gamete intrauterine transfer; PGT, preimplantation genetic testing; POR, poor ovarian response; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; POSEIDON G1, POSEIDON Group 1; POSEIDON G2, POSEIDON Group 2; POSEIDON G3, POSEIDON Group 3; POSEIDON G4, POSEIDON Group 4; P1-off, offspring born to mothers in POSEIDON Group 1; P2-off, offspring born to mothers in POSEIDON Group 2; P3-off, offspring born to mothers in POSEIDON Group 3; P4-off, offspring born to mothers in POSEIDON Group 4; N1-off, offspring born to mothers in Non-POSEIDON Group 1; N2-off, offspring born to mothers in Non-POSEIDON Group 2.

Exposure

The main exposure measure was maternal POR. POR had been diagnosed and classified into four groups based on the POSEIDON criteria (Alviggi et al., 2016)—(i) POSEIDON Group 1: age <35 years, AMH ≥1.2 ng/ml, and a standard ovarian stimulation with ≤9 oocytes retrieved; (ii) POSEIDON Group 2: age ≥35 years, AMH ≥1.2 ng/ml, and a standard ovarian stimulation with ≤9 oocytes retrieved; (iii) POSEIDON Group 3: age <35 years and AMH <1.2 ng/ml; (iv) POSEIDON Group 4: age ≥35 years and AMH <1.2 ng/ml. The comparison groups included offspring whose mothers had an adequate ovarian reserve and a normal response to a standard ovarian stimulation: (i) Non-POSEIDON Group 1: age <35 years, AMH ≥1.2 ng/ml, and >9 oocytes retrieved; (ii) Non-POSEIDON Group 2: age ≥35 years, AMH ≥1.2 ng/ml, and >9 oocytes retrieved. We used serum AMH as the ovarian reserve biomarker because recent studies suggested that it may be more accurate and robust than AFC (Fleming et al., 2015; Iliodromiti et al., 2015; Nelson et al., 2015).

The exposed groups consisted of offspring conceived through ART and born to POR mothers, including those born to POSEIDON Group 1 mothers (P1-off), POSEIDON Group 2 mothers (P2-off), POSEIDON Group 3 mothers (P3-off), and POSEIDON Group 4 mothers (P4-off). The control groups consisted of offspring conceived through ART and born to mothers with normal ovarian response, including those born to Non-POSEIDON Group 1 (N1-off) and Non-POSEIDON Group 2 (N2-off). Taking into account the impact of maternal age on offspring health, the N1-off group was the control group for P1-off and P3-off groups (groups of mothers <35 years), while the N2-off group was the control group for P2-off and P4-off groups (groups of mothers ≥35 years).

Maternal basic endocrinological profiles and AFC were tested during the first 3 days of the menstrual cycle within 1 year prior to the IVF/ICSI cycle. The AFC was defined as the count of follicles with a diameter of 2–9 mm in both ovaries. Maternal estradiol (E2) levels were tested on hCG trigger day, including both fresh cycles and the oocyte retrieval cycles that led to embryos used in frozen embryo transfer (FET) cycles. In both fresh and frozen embryo cycles, the stimulation protocols included GnRH agonist long protocols, GnRH agonist short protocols, and GnRH antagonist protocols. Endometrial preparation in frozen cycles included natural and artificial cycles. Blood samples were collected at the end of the first trimester (11–13 gestational weeks) for E2, DHEA-S (dehydroepiandrosterone sulfate), and T tests in mothers. All blood samples were stored at −80°C until detection.

Outcomes

Reproductive endocrine profiles were assessed in offspring aged 2–6 years, with fasting blood samples collected at these age stages: 2.0–2.4 years, 2.5–3.9 years, and 4.0–5.9 years. All samples were collected by well-trained pediatricians and nurses and stored at −80°C until analysis. The hormones included FSH, LH, E2, T, prolactin (PRL), DHEA-S, and AMH. AMH was tested using an ELISA (Ansh Labs, Webster, TX, USA). FSH, LH, E2, T, PRL, and DHEA-S were tested by chemiluminescence immunoassays (Roche Diagnostics, Mannheim, Germany) with intra- and inter-assay coefficients of variation of less than 10%. All hormones were tested by laboratory physicians, with regular quality control measures implemented to ensure data accuracy.

Covariates

Potential confounders were defined based on prior literature reporting of indicators associated with offspring’s long-term reproductive health outcomes, including maternal age (Basso et al., 2018), paternal age (Sartorius and Nieschlag, 2010; Ashapkin et al., 2023), offspring age (Cui et al., 2016), paternal smoking (Fraser et al., 2013), use of ICSI (Belva et al., 2016; Belva et al., 2017; Catford et al., 2020), and FET (Shaw et al., 2012; Jiang et al., 2017). Parental characteristics were obtained through standardized measurements and questionnaires administered during face-to-face interviews prior to the IVF/ICSI cycle. In both fresh and frozen embryo cycles, parental ages were calculated based on the date of parental birth and the date of oocyte retrieval. ART characteristics were recorded in the medical records during the IVF/ICSI cycle.

Statistics

The statistical analyses were conducted using the R statistical software, version 4.2.3 (R Foundation for Statistical Computing, Vienna, Austria). Continuous characteristic variables were assessed for normality. For normally distributed variables, Student’s t-test was employed for analysis, while the Mann–Whitney U test was used for those that did not follow a normal distribution. Categorical characteristic variables were compared using either the chi-square test or Fisher’s exact test. The association between maternal POR and reproductive endocrine profiles in offspring was assessed using a linear mixed-effects regression model. Reproductive endocrine profiles were evaluated in offspring at three specific age ranges: 2.0–2.4 years, 2.5–3.9 years, and 4.0–5.9 years. Each offspring had 1–3 repeated measurements. If more than one sample was taken from a child, all blood samples were collected, and all available reproductive endocrine hormone measurements were included in the analysis. We did not exclude any sample based on the number of follow-ups, ensuring that all available data were utilized for a comprehensive analysis. The mixed-effects model allowed us to account for the potential confounding effects of repeated measurements taken from the same child at different time points. A P-value of <0.05 was regarded as statistically significant.

Results

Baseline characteristics of offspring from mothers with unexpected POR

The parental ages of offspring born to mothers with unexpected POR (POSEIDON Groups 1 and 2) were older than those of their non-POR counterparts. Maternal BMI was higher in POSEIDON Group 1 than in controls, with no significant differences in Group 2. Paternal BMI, smoking status, and parental education levels were comparable between groups. Unexpected POR mothers showed lower AFC, AMH, and T and higher FSH compared to controls. Additionally, maternal LH was higher and E2 was lower in POSEIDON Group 1 than in controls. These characteristics align with unexpected POR traits (Table 1).

Table 1.

Parental and ART characteristics of study participants.

POSEIDON-off Groups
Non-POSEIDON-off Groups
P1-off n = 675 P2-off n = 200 P3-off n = 266 P4-off n = 144 N1-off n = 1579 N2-off n = 239
Parental characteristics
Paternal age, years 30.5 ± 3.9* 38.2 ± 3.7 31.2 ± 3.9* 38.4 ± 4.6 29.9 ± 3.8 37.9 ± 4.2
Maternal age, years 29.6 ± 3.1* 38.1 ± 2.2# 30.3 ± 3.1* 38.2 ± 2.2# 29.1 ± 3 37.4 ± 2
Paternal BMI, kg/m2 25.7 ± 3.9 26.6 ± 3.3 26.3 ± 4.1 26.8 ± 3.3 25.8 ± 4.2 27 ± 3.8
Maternal BMI, kg/m2 23.3 ± 3.7* 24.3 ± 4 23.2 ± 3.4 24.3 ± 3.6 22.9 ± 3.5 24.3 ± 3.8
Paternal education level (college or higher), n (%) 273 (40.4) 70 (35) 108 (40.6) 60 (41.7) 638 (40.4) 97 (40.6)
Maternal education level (college or higher), n (%) 252 (37.3) 61 (30.5) 97 (36.5) 46 (31.9) 588 (37.2) 83 (34.7)
Paternal smoking, n (%) 229 (33.9) 57 (28.5) 92 (34.6) 44 (30.6) 521 (33) 53 (22.2)
Maternal AFC 11.8 ± 5.4* 9.9 ± 4.1# 9 ± 4.1* 7 ± 3# 15.1 ± 5.8 13.6 ± 5
Maternal basal endocrine
 AMH, ng/ml 3.8 ± 2.7* 3 ± 2# 0.7 ± 0.3* 0.7 ± 0.3# 5.6 ± 3.6 4.3 ± 2.5
 FSH, IU/L 7 ± 1.7* 7.4 ± 1.9# 7.9 ± 3.5* 9.2 ± 3.7# 6.2 ± 1.4 6.5 ± 1.6
 LH, IU/L 5 ± 2.8* 4.7 ± 2.3 4.5 ± 2.4* 4.7 ± 2.1 5.4 ± 2.8 4.9 ± 3.4
 E2, pg/ml 33.7 ± 12.8* 36.1 ± 13.6 33.4 ± 14* 35.8 ± 15.1 37.4 ± 21.5 36.9 ± 27.6
 T, ng/dl 24.3 ± 11.4* 20.4 ± 9.8# 20.8 ± 10.2* 18.8 ± 10.3# 25.8 ± 13.3 22.6 ± 10.8
 PRL, ng/L 18.6 ± 19.9 16.1 ± 8.6 15.7 ± 7.3* 14.5 ± 6.3 18 ± 9.5 15.6 ± 7.8
 DHEA-S, ug/dl 251.3 ± 92.7 206.6 ± 73.2 240.8 ± 95.2 211.8 ± 80.7 252.9 ± 92.7 214.7 ± 85.5
ART characteristics
Maternal total gonadotropin dose, IU 1969.6 ± 924.8* 2078.4 ± 832.2 2169.2 ± 1102.2* 2571.6 ± 1183.7# 1744.9 ± 759.9 2066.2 ± 861.6
Maternal E2 levels on hCG trigger day, pg/ml 2463.2 ± 1232.9* 2470.9 ± 1163.1# 2695.3 ± 1666.2* 2137.8 ± 1420.6# 4533.1 ± 2052.7 4365.1 ± 1863.6
No. of oocytes retrieved 6.8 ± 1.9* 6.2 ± 2# 8.4 ± 4.8* 5.8 ± 3.6# 15.6 ± 4.7 14.3 ± 3.8
ICSI used, n (%) 191 (28.3)* 52 (26) 72 (27.1)* 34 (23.6) 543 (34.4) 61 (25.5)
Frozen embryo transfer, n (%) 244 (36.1)* 70 (35)# 92 (34.6)* 47 (32.6)# 1013 (64.2) 137 (57.3)

Data are presented as mean ± SD or n (%).

The reference group for the P1-off and P3-off groups was the N1-off group (*P <0.05).

The reference group for the P2-off and P4-off groups was the N2-off group (#P <0.05).

Student’s t-test was used for analysis of normally distributed variables, while the Mann–Whitney U test was applied to variables that did not follow a normal distribution.

AFC, antral follicle count; AMH, anti-Müllerian hormone; ART, DHEA-S, dehydroepiandrosterone sulfate; E2, estradiol; N1-off, offspring born to Non-POSEIDON Group 1 mothers; N2-off, offspring born to Non-POSEIDON Group 2 mothers; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; P1-off, offspring born to POSEIDON Group 1 mothers; P2-off, offspring born to POSEIDON Group 2 mothers; P3-off, offspring born to POSEIDON Group 3 mothers; P4-off, offspring born to POSEIDON Group 4 mothers; PRL, prolactin; T, testosterone.

During the IVF/ICSI cycle, POSEIDON Group 1 mothers required higher gonadotropin doses. Unexpected POR mothers had lower E2 levels on hCG trigger day, and approximately half the number of oocytes were retrieved compared to their non-POR counterparts. Additionally, POSEIDON Group 1 mothers had fewer ICSI cycles. Unexpected POR mothers underwent fewer FET cycles (Table 1). During early pregnancy, T levels were lower in unexpected POR mothers, with no significant changes in E2 and DHEA-S levels (Fig. 2).

Figure 2.

Figure 2.

Serum endocrinological status of pregnant mothers at the end of first trimester. All data are presented as mean ± SEM. POSEIDON-Unexpected POR groups include P1 and P2, while POSEIDON-Expected POR groups include P3 and P4. The Non-POSEIDON groups refer to infertile women with a normal ovarian response, including N1 and N2 categories. Considering age of mothers, the reference group for the P1 and P3 groups was the N1 group (age <35 years), whereas the reference group for the P2 and P4 groups was the N2 group (age ≥35 years). The Mann–Whitney U test was used to analyze the significance of the data. **P < 0.01, ***P < 0.001. P1, n = 188; P2, n = 62; P3, n = 58; P4, n = 47; N1, n = 276; and N2, n = 62. DHEA-S, dehydroepiandrosterone sulfate; E2, estradiol; POR, poor ovarian response; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; P1, POSEIDON Group 1; P2, POSEIDON Group 2; P3, POSEIDON Group 3; P4, POSEIDON Group 4; N1, Non-POSEIDON Group 1; N2, Non-POSEIDON Group 2; T, testosterone.

Baseline characteristics of offspring from mothers with expected POR

Offspring born to mothers with expected POR (POSEIDON Groups 3 and 4) also had older parental ages than controls. Parental BMI, education levels, and paternal smoking status were comparable. Ovarian reserve was more diminished in expected POR mothers, who had significantly lower AFC, AMH, and T and higher FSH levels. Maternal LH was higher, while E2 and PRL levels were lower in POSEIDON Group 3 compared to controls.

During their IVF/ICSI cycles, expected POR mothers used more gonadotropin and showed lower E2 levels on the hCG trigger day than controls. The number of oocytes retrieved was more than 2-fold lower compared to non-POR mothers. POSEIDON Group 3 mothers underwent fewer ICSI cycles, and expected POR mothers had fewer FET cycles (Table 1). Early pregnancy T levels were also lower in expected POR mothers (Fig. 2).

Comparison of baseline characteristics between included and excluded offspring in the ‘ARTKID’ cohort

We compared the baseline characteristics of offspring included in the analysis with those excluded from the whole ‘ARTKID’ cohort (Supplementary Table S1). Importantly, our sample size is relatively large. Although we observed differences in parental age, paternal smoking status, maternal E2 levels on the hCG trigger day, and the number of oocytes retrieved, the actual differences were relatively minor. For example, the difference in maternal age between the included and excluded offspring was only 0.44 years.

The effects of maternal unexpected POR on reproductive endocrine characteristics of offspring

Compared to the control group, female offspring born to mothers in POSEIDON Group 2 showed higher FSH levels (mean difference [MD] = 0.43, 95% CI = 0.04, 0.82, P = 0.031). However, the differences were no longer significant after adjusting parental age, offspring age, paternal smoking, ICSI, and FET use (adjusted mean difference [AMD] = 0.37, 95% CI = −0.01, 0.74, P = 0.054) (Tables 2 and 3 and Supplementary Table S2).

Table 2.

Reproductive endocrine profiles of offspring born to mothers with and without poor ovarian response.

POSEIDON-off groups
Non-POSEIDON-off groups
P1-off P2-off P3-off P4-off N1-off N2-off
Female offspring n = 340 (453 visits) n = 98 (134 visits) n = 114 (158 visits) n = 68 (92 visits) n = 733 (968 visits) n = 118 (151 visits)
 Age, years 2.9 ± 1 2.9 ± 1 3 ± 1.1 2.8 ± 0.9 2.9 ± 0.9 3 ± 1
 FSH, IU/L 3.3 ± 1.8 3.4 ± 1.7 3.3 ± 2 3.3 ± 1.4 3.2 ± 1.6 2.9 ± 1.4
 LH, IU/L 0.1 ± 0 0.1 ± 0 0.1 ± 0 0.1 ± 0 0.1 ± 0 0.1 ± 0
 E2, pg/ml 6.4 ± 3 6.2 ± 2.9 6.3 ± 5.1 5.7 ± 1.8 6.5 ± 4 6.2 ± 2.8
 PRL, ng/L 12.5 ± 8.1 13.7 ± 8.9 12 ± 6 12.9 ± 8.2 13.2 ± 7.6 13.6 ± 9.3
 T, ng/dl 2.5 ± 0 2.5 ± 0 2.5 ± 0.2 2.5 ± 0 2.5 ± 0 2.5 ± 0
 DHEA-S, ug/dl 7 ± 8.3 7.1 ± 8.2 8.3 ± 8.1 6.5 ± 7.6 7.9 ± 10.9 7.6 ± 7.8
 AMH, ng/ml 2.9 ± 2 2.9 ± 1.8 2.4 ± 1.7 2.3 ± 1.7 3 ± 2.2 3.2 ± 2.2
Male offspring n = 335 (445 visits) n = 102 (138 visits) n = 152 (204 visits) n = 76 (101 visits) n = 846 (1187 visits) n = 121 (158 visits)
 Age, years 2.9 ± 1 2.8 ± 0.9 2.9 ± 1 2.7 ± 0.8 2.9 ± 1 2.8 ± 0.9
 FSH, IU/L 0.9 ± 0.6 0.9 ± 0.4 1 ± 0.5 0.9 ± 0.6 0.9 ± 0.4 0.8 ± 0.4
 LH, IU/L 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1 0.1 ± 0.1
 E2, pg/ml 5.4 ± 1.6 5.4 ± 1.3 5.4 ± 1.4 5.2 ± 1.2 5.4 ± 2.3 5.4 ± 1.4
 PRL, ng/L 12.4 ± 7.3 11.2 ± 7.8 11.9 ± 5.7 11.6 ± 6.3 11.9 ± 6.4 12.5 ± 7.7
 T, ng/dl 2.5 ± 0 2.5 ± 0 2.5 ± 0 2.5 ± 0 2.5 ± 0 2.5 ± 0
 DHEA-S, ug/dl 6.8 ± 9.3 7.5 ± 9.7 5.7 ± 7.3 6.4 ± 9.2 6.5 ± 9.7 6.4 ± 8
 AMH, ng/ml, 17.9 ± 0.6 18 ± 0.5 18 ± 0.1 18 ± 0.3 18 ± 0.5 18 ± 0.2

Data were presented as mean ± SD.

The minimum detectable value for LH is 0.1 IU/L, and almost all female offspring have a detection value of <0.1 IU/L (96.6%). The minimum detectable value for T is 2.5 ng/dl, and almost all offspring have a detection value of <2.5 ng/dl (99.9%); the maximum detectable value for AMH is 18 ng/ml, and almost all male offspring have a detection value of >18 ng/dl (98.7%).

For the AMH of female offspring, there are missing sample sizes of 54, 11, 27, 18, 138, and 27 in each group. For the AMH of male offspring, there are missing sample sizes of 52, 11, 28, 8, 130, and 14 in each group.

AMH, anti-Müllerian hormone; DHEA-S, dehydroepiandrosterone sulfate; E2, estradiol; FSH, follicle-stimulating hormone; N1-off, offspring born to Non-POSEIDON Group 1 mothers; N2-off, offspring born to Non-POSEIDON Group 2 mothers; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; P1-off, offspring born to POSEIDON Group 1 mothers; P2-off, offspring born to POSEIDON Group 2 mothers; P3-off, offspring born to POSEIDON Group 3 mothers; P4-off, offspring born to POSEIDON Group 4 mothers; PRL, prolactin; T, testosterone.

Table 3.

Associations between maternal POR and the reproductive endocrine profile of female offspring.

P1-off vs N1-off P2-off vs N2-off P3-off vs N1-off P4-off vs N2-off
FSH Crude MD (95% CI) 0.11 (−0.09, 0.31) 0.43 (0.04, 0.82) * 0.12 (−0.18, 0.42) 0.29 (−0.10, 0.69)
Adjusted MD (95% CI) 0.12 (−0.07, 0.32) 0.37 (−0.01, 0.74) 0.18 (−0.12, 0.48) 0.22 (−0.15, 0.59)
E2 Crude MD (95% CI) 0.01 (−0.42, 0.43) −0.03 (−0.70, 0.64) −0.06 (−0.79, 0.67) −0.49 (−1.14, 0.16)
Adjusted MD (95% CI) 0.22 (−0.22, 0.66) 0.20 (−0.49, 0.89) 0.26 (−0.50, 1.01) −0.43 (−1.11, 0.25)
PRL Crude MD (95% CI) −0.66 (−1.58, 0.27) 0.14 (−2.05, 2.33) −1.30 (−2.63, 0.04) −0.26 (−2.70, 2.17)
Adjusted MD (95% CI) −0.72 (−1.68, 0.24) −0.03 (−2.24, 2.17) 1.59 (2.97,0.21)* −0.19 (−2.70, 2.32)
DHEA−S Crude MD (95% CI) −0.98 (−2.20, 0.25) −0.43 (−2.52, 1.67) 0.35 (−1.61, 2.30) −1.10 (−3.36, 1.16)
Adjusted MD (95% CI) 1.38 (2.58,0.17)* −0.32 (−2.45, 1.81) −0.41 (−2.36, 1.54) −0.53 (−2.87, 1.81)
AMH Crude MD (95% CI) −0.10 (−0.38, 0.18) −0.34 (−0.90, 0.23) 0.57 (1.02,0.13)* 0.78 (1.46,0.11)*
Adjusted MD (95% CI) −0.04 (−0.33, 0.25) −0.16 (−0.75, 0.43) 0.64 (1.10,0.18)** −0.60 (−1.31, 0.12)

Crude mean differences were obtained from linear mixed regression analysis.

The adjusted model adjusted for paternal age, maternal age, offspring age, paternal smoking, ICSI use, and frozen embryo transfer use.

The reference group for the P1-off and P3-off groups was the N1-off group, whereas the reference group for the P2-off and P4-off groups was the N2-off group.

LH and testosterone (T) were not in detectable range among nearly all female offspring, so they could not be analyzed statistically.

Bold font is used to highlight statistically significant difference between groups, with a P-value of less than 0.05.

*

P <0.05,

**

P <0.01.

AMH, anti-Müllerian hormone; DHEA-S, dehydroepiandrosterone sulfate; E2, estradiol; MD, mean difference; N1-off, offspring born to Non-POSEIDON Group 1 mothers; N2-off, offspring born to Non-POSEIDON Group 2 mothers; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; P1-off, offspring born to POSEIDON Group 1 mothers; P2-off, offspring born to POSEIDON Group 2 mothers; P3-off, offspring born to POSEIDON Group 3 mothers; P4-off, offspring born to POSEIDON Group 4 mothers; POR, poor ovarian response; PRL, prolactin.

Daughters born to mothers in POSEIDON Group 1 displayed lower DHEA-S levels in the adjusted model (MD = −0.98, 95% CI = −2.20, 0.25, P = 0.117; AMD = −1.38, 95% CI = −2.58, −0.17, P = 0.025) (Tables 2 and 3 and Supplementary Table S2).

For male offspring, reproductive endocrine profiles are presented in Tables 2 and 4 and Supplementary Table S3. No differences were found in FSH, LH, E2, PRL, and DHEA-S levels between male offspring born to mothers with unexpected POR and those born to mothers without POR.

Table 4.

Associations between maternal POR and the reproductive endocrine profile of male offspring.

P1-off vs N1-off P2-off vs N2-off P3-off vs N1-off P4-off vs N2-off
FSH Crude MD (95% CI) 0.03 (−0.03, 0.08) 0.05 (−0.06, 0.16) 0.05 (−0.02, 0.12) 0.09 (−0.05, 0.23)
Adjusted MD (95% CI) 0.03 (−0.03, 0.09) 0.06 (−0.05, 0.17) 0.05 (−0.02, 0.13) 0.09 (−0.06, 0.24)
LH Crude MD (95% CI) 0.004 (−0.005, 0.01) 0.01 (−0.01, 0.03) 0.01 (−0.003, 0.02) 0.01 (−0.02, 0.04)
Adjusted MD (95% CI) 0.01 (−0.004, 0.02) 0.01 (−0.02, 0.03) 0.01 (−0.003, 0.02) 0.01 (−0.02, 0.05)
E2 Crude MD (95% CI) −0.02 (−0.29, 0.25) 0.01 (−0.31, 0.34) −0.03 (−0.41, 0.34) −0.12 (−0.46, 0.21)
Adjusted MD (95% CI) −0.03 (−0.32, 0.25) −0.04 (−0.38, 0.30) −0.02 (−0.40, 0.37) −0.22 (−0.60, 0.17)
PRL Crude MD (95% CI) 0.57 (−0.21, 1.34) −1.03 (−2.93, 0.88) −0.06 (−1.05, 0.93) −0.97 (−2.87, 0.94)
Adjusted MD (95% CI) 0.67 (−0.14, 1.48) −0.93 (−2.96, 1.11) −0.11 (−1.12, 0.90) −0.48 (−2.61, 1.65)
DHEA-S Crude MD (95% CI) 0.47 (−0.66, 1.60) 1.63 (−0.63, 3.89) −0.60 (−2.11, 0.91) 0.03 (−2.26, 2.32)
Adjusted MD (95% CI) 0.51 (−0.62, 1.63) 1.56 (−0.77, 3.88) −0.86 (−2.33, 0.60) 0.10 (−2.29, 2.48)

Crude mean differences were obtained from linear mixed regression analysis.

The adjusted model adjusted for paternal age, maternal age, offspring age, paternal smoking, ICSI use, and frozen embryo transfer use.

The reference group for the P1-off and P3-off groups was the N1-off group, whereas the reference group for the P2-off and P4-off groups was the N2-off group.

Testosterone (T) and anti-Müllerian hormone (AMH) were not in detectable range among nearly all male offspring, so they could not be analyzed statistically.

DHEA-S, dehydroepiandrosterone sulfate; E2, estradiol; MD, mean difference; N1-off, offspring born to Non-POSEIDON Group 1 mothers; N2-off, offspring born to Non-POSEIDON Group 2 mothers; POSEIDON, Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number; P1-off, offspring born to POSEIDON Group 1 mothers; P2-off, offspring born to POSEIDON Group 2 mothers; P3-off, offspring born to POSEIDON Group 3 mothers; P4-off, offspring born to POSEIDON Group 4 mothers; POR, poor ovarian response; PRL, prolactin.

The effects of maternal expected POR on reproductive endocrine characteristics of offspring

Female offspring born to mothers in POSEIDON Group 3 had significantly lower levels of AMH compared to their counterparts in both unadjusted and adjusted models (MD = −0.57, 95% CI = −1.02, −0.13, P = 0.012; AMD = −0.64, 95% CI = −1.10, −0.18, P = 0.007), with statistical power reaching 95% (data not shown). Female offspring born to mothers in POSEIDON Group 4 also showed lower levels of AMH in the unadjusted model (MD = −0.78, 95% CI = −1.46, −0.11, P = 0.023). Although the trend remained the same, the lack of statistical significance in the adjusted model may be due to limitations in sample size (AMD = −0.60, 95% CI = −1.31, −0.12, P = 0.100) (Tables 2 and 3 and Supplementary Table S2).

Compared to the control group, daughters born to mothers in POSEIDON Group 3 had lower PRL levels in the adjusted model (MD = −1.30, 95% CI = −2.63, 0.04, P = 0.057; AMD = −1.59, 95% CI = −2.97, −0.21, P = 0.024) (Tables 2 and 3 and Supplementary Table S2).

For male offspring, no differences in reproductive endocrine profiles were observed between those born to mothers with expected POR and those born to controls (Tables 2 and 4 and Supplementary Table S3).

Discussion

In this study, we found a trend for modest decrease in AMH levels in daughters born to expected POR mothers aged 2–6 years (POSEIDON Group 3 and Group 4). However, only female offspring born to young mothers (<35 years) with expected POR (POSEIDON Group 3) showed a statistically significant difference, while those born to older mothers (≥35 years) with expected POR (POSEIDON Group 4) did not exhibit a significant difference. These results potentially indicate an intergenerational effect on ovarian reserve. Nevertheless, no significant association was observed between maternal POR and the reproductive endocrine profiles of male offspring at an early age. Additionally, we found that mothers with POR had lower T levels during the first trimester of pregnancy.

Two previous cross-sectional studies reported a significant adverse effect of earlier age at maternal menopause on both serum AMH and AFC in daughters during reproductive age (Rosen et al., 2010; Bentzen et al., 2013), which are consistent with our findings. The underlying mechanisms remain unclear, but genetic susceptibility and epigenetic modification were believed to be the main reason (Cavalli and Heard, 2019). Previous studies have identified some mutations and polymorphic variant genes involved in folliculogenesis and follicular atresia, which play a role in pathologic expected POR (Nesbit et al., 2020; Olsen et al., 2021). These mutations may potentially be transmitted to the next generation. Furthermore, other studies suggested that epigenetic modifications, including changes in DNA methylation, the involvement of non-coding RNAs, and RNA m6A modifications, may contribute to pathologic expected POR by regulating oocyte development, maturation, growth, and senescence (Olsen et al., 2021; Chen et al., 2025). Epigenetic changes in oocytes have been shown to affect offspring health across generations through intergenerational or transgenerational inheritance (Chen et al., 2022a). These findings suggest that both genetic and epigenetic factors could have significant implications for reproductive health and the inheritance of fertility traits across generations.

Moreover, decreased T levels in mothers with expected POR during pregnancy may also contribute to the decrease in AMH levels in female offspring. Previous studies have demonstrated that a hypoandrogenic intrauterine environment may cause ovarian damage in the offspring (Yu et al., 2021). In contrast, prenatal testosterone excess has been shown to increase follicular recruitment in female sheep offspring (Steckler et al., 2005; Smith et al., 2009). Additionally, other environmental factors may provide another explanation. Growing evidence has suggested that environmental exposure may contribute to poor ovarian reserve, including toxins, stress, and certain medical treatments (Richardson et al., 2014; Wang et al., 2021; Xi et al., 2022). These exposures during early life were found to affect follicular development in offspring in some animal studies (Jurisicova et al., 2007; Liu et al., 2021; Chen et al., 2022b; Yan et al., 2022). Further research is needed to elucidate the mechanisms underlying the intergenerational transmission of reduced ovarian reserve.

In our study, we observed that while AMH levels in daughters born to older mothers with expected POR (POSEIDON Group 4) showed a decreasing trend; this difference was not significant after adjusting for confounders. In contrast to young women with expected POR, ovarian reserve reduction in older women is more likely a consequence of physiological aging (Lu et al., 2023). Previous studies have reported reduced oocyte developmental potential, mitochondrial dysfunction, and impaired oxidative phosphorylation in cumulus cells in older women with expected POR (Cecchino et al., 2021; Lu et al., 2022; Almeida-Reis et al., 2024). In our own observations, these age-related changes in mothers did not seem to affect the ovarian reserve of their daughters.

However, it is important to note that the smaller number of offspring in the older group limits our statistical power, which may affect our findings. Although the prevalence of POR in older women is similar to that in younger groups (Haahr et al., 2019; Esteves et al., 2021a), studies have shown that advanced maternal age correlates with lower CLBR in ART (Luke et al., 2012; Gaskins et al., 2023; Xia et al., 2024). CLBR in younger women with POR is more than twice as high as in older women (Esteves et al., 2021b; Li et al., 2021). Thus, the smaller sample size in the older group may have influenced our findings, particularly with regard to AMH changes in female offspring born to older mothers with expected POR.

AMH, the most important marker of ovarian reserve, is secreted by the granulosa cells of preantral follicles as early as 36 weeks’ gestation (Rajpert-De Meyts et al., 1999; Cui et al., 2016). In our study, female offspring born to young mothers with expected POR exhibited a 0.64 ng/ml decrease in AMH levels compared to the control group at ages 2–6. Previous longitudinal studies reported that AMH levels in the prepubertal period were positively associated with ovarian reserve later in life (Brougham et al., 2012; Hagen et al., 2012). The reduced AMH levels observed in our study suggest that the female offspring may possess a relatively small follicular pool and potentially lower quality of oocytes, raising concerns about fertility and ovarian aging in their reproductive years.

In clinical practice, elevated serum AMH levels are linked to a higher number of oocytes retrieved and more cryopreserved embryos, which contributes to a higher pregnancy rate (Peigné et al., 2023). AMH testing is also useful for predicting POR, cycle cancellations, and the risk of ovarian hyperstimulation syndrome (La Marca et al., 2010). A prospective study confirmed that an AMH threshold of 4 pmol/L (0.56 ng/ml) can predict a low yield of mature follicles and oocytes (La Marca et al., 2010). However, there is currently no established clinical threshold for AMH levels in female offspring during childhood. As AMH levels naturally decline with age after 25 years old (Lie Fong et al., 2012; Cui et al., 2016), long-term follow-up and fertility monitoring are important, particularly for this population.

Consistent with other studies, our research also found that women with POR often exhibit disorders in the hypothalamus–pituitary–ovarian (HPO) axis, including elevated FSH, decreased LH, and decreased T (Zhen et al., 2008; Xiao et al., 2016; Zhuang et al., 2019). Additionally, our study observed significantly lower PRL levels in young women with expected POR (POSEIDON Group 3). The HPO axis remains quiescent between minipuberty (1–6 months) and puberty (Renault et al., 2020), and previous epidemiological studies have shown that sex hormone levels in females remain low and stable during this period (Soldin et al., 2005; Konforte et al., 2013; Tahmasebi et al., 2017; Bohn et al., 2021). In our study, we could not detect significant symbolic changes in gonadotropin and steroid hormones in the female offspring with maternal POR. However, an increasing trend in FSH levels was noted across female offspring born to all types of POR mothers based on the POSEIDON classification, although these differences did not reach statistical significance in our study. Additionally, levels of DHEA-S, a precursor to T, were found to be decreased in daughters born to young mothers with unexpected POR (POSEIDON Group 1). PRL levels were also found to be decreased in daughters born to young mothers with expected POR (POSEIDON Group 3).

Young women with unexpected POR typically have the best prognosis compared to other POSEIDON groups (Alviggi et al., 2016). Management requires a tailored approach considering the patient’s young age and adequate ovarian reserve, potentially involving higher starting doses of recombinant FSH, recombinant LH supplementation, or even double ovarian stimulation to enhance oocyte retrieval and improve reproductive outcomes (Conforti et al., 2019; Polyzos and Drakopoulos, 2019). The high doses of gonadotropins administered to the oocytes that develop into embryos during both fresh and frozen cycles, along with the uterine hormonal environment, which is present only during fresh cycles, may potentially explain the changes observed in DHEA-S levels in female offspring. These findings indicate that there may be pituitary dysfunction in this specific population. For female offspring born to young mothers with unexpected POR, genetic factors, including mutations or polymorphisms, epigenetic modifications, and environmental factors, such as a hypoandrogenic intrauterine environment and other factors, may contribute to the concordant changes in PRL levels between mothers and their daughters. However, due to relatively limited statistical power, the statistical powers of DHEA-S and PRL changes were less than 80% (data not shown). Larger sample sizes and longer follow-up studies are required to confirm these findings.

Though previous studies reported that basal serum T levels decreased in POR women compared to normal responders, there is no evidence of its continuation or worsening progression after conception (Woldringh et al., 2006; Qin et al., 2011). Our study indicated that even at the end of the first trimester, characteristic deregulation of serum T persisted in mothers with POR. It was suggested that deficiency of prenatal androgen exposure may affect the masculinization of the genitalia in male offspring, including increased risk of hypospadias and cryptorchidism, as well as a decreased anogenital distance (Menon and Khatwa, 2000; Domínguez-Salazar et al., 2002; Welsh et al., 2008; Sunman et al., 2019). Additionally, reduced intrauterine exposure to T can lead to behavioral and metabolic changes in offspring, including reduced aggression, motor activity, and insulin secretion (Goto et al., 2005; Harada et al., 2019; Drea et al., 2021). Encouragingly, our study found no significant effects on the reproductive endocrine profiles of male offspring with maternal POR up to 6 years of age. However, the reproductive function (specifically serum endocrine and seminal fluid analysis), behavioral patterns, and metabolism of these boys still should be further evaluated and monitored in later life.

To the best of our knowledge, the health of offspring born to mothers with POR has historically been a concern because of suspected genetic susceptibility, deteriorating oocyte quantity, and intrauterine exposure. However, this concern has yet to be confirmed. We used a large cohort study to provide valuable evidence for our question of interest. Furthermore, mothers with POR were stratified into groups based on the POSEIDON criteria, which can be beneficial for understanding the effects of maternal POR under different pathophysiological conditions. The observers were well-trained pediatricians, nurses, and laboratory physicians, rather than clinicians from infertility clinics, and they were blinded to the exposure status of the participants, which helps to avoid potential selection bias in the study. In addition, the data were highly homogeneous due to standardized operating procedure for all participants and tests.

However, there are still some limitations. Firstly, at the time of our study, the offspring were between the ages of 2 and 6 years. As they are too young to reveal more comprehensive reproductive phenotypic changes, longer follow-up studies are needed. Secondly, the confounding factors could not be addressed completely in our retrospective study. In the past few decades, various adjuvant therapies were proposed to improve success rate in POR patients (Zhang et al., 2020), but we cannot exclude the potential impact of such therapies on offspring health. Nonetheless, our results still have valuable clinical relevance. Thirdly, maternal smoking during pregnancy was not included in this study, which could be a potential confounder. Previous research has shown that maternal tobacco exposure adversely affects the fertility of both female and male offspring (Ernst et al., 2012; Sobinoff et al., 2014). However, only 3.4% of Chinese women were reported as smokers in the 2010 national survey (Liu et al., 2017), with approximately 82.9% quitting upon pregnancy (Xu et al., 2017). Consequently, maternal smoking during pregnancy is extremely rare in China, and this potential bias is unlikely to significantly influence our findings. Additionally, not all offspring who met our inclusion criteria in the ‘ARTKID’ cohort provided blood samples. Possible reasons include failure to meet follow-up deadlines, noncompliance with invasive blood testing, and external factors such as the COVID-19 pandemic during 2020–2021, as well as geographical distance from our center. We compared the baseline characteristics between the included and excluded offspring and found that the differences were relatively small. Therefore, we conclude that selection bias is unlikely to have a significant impact on our results.

Conclusions

In conclusion, the potential impact of maternal POR on offspring appears to be influenced by the ovarian reserve in mothers. Young mothers (<35 years) with expected POR were more likely to have daughters with slightly lower serum AMH levels, whereas other POR mothers seem to pose less risk to reproductive endocrine health of their offspring. Longer-term observations on a larger scale are needed to confirm these findings and to further elucidate the underlying mechanism.

Supplementary Material

hoaf019_Supplementary_Data

Contributor Information

Wanbing Feng, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Yujia Ren, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Jiayi Zhou, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Hanbing Zhu, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Han Zhao, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Yingying Qin, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Jing Li, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Mingdi Xia, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Lihong Xu, Department of Gynaecology and Obstetrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Mei Li, National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China; The Second Hospital, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China.

Huidan Wang, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China.

Linlin Cui, National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China; The Second Hospital, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China.

Zi-Jiang Chen, State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No. 2021RU001), Jinan, Shandong, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China; Department of Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Supplementary data

Supplementary data are available at Human Reproduction Open online.

Data availability

The data set cannot be shared directly due to current data protection legislation. Access to the data can be requested from the Birth Cohort Data Management Committee at the State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University (ARTKID_sdu@163.com), following approval from the ethics committees at the Reproductive Medical Center of Shandong University (wanghuidan@sduivf.com).

Authors’ roles

W.F. drafted the manuscript, performed statistical analysis, and contributed to data interpretation; L.C. and H.W. conceived and designed the study, supervised the research. L.C. and Z.-J.C. critically revised the manuscript for intellectual content, and acquired funding. Y.R., J.Z., and H. Zhu conducted statistical analyses and validated results; H. Zhao, Y.Q., J.L., M.X., and L.X. contributed to data acquisition and curation; M.L. resolved clinical-related descriptive issues and ensured clinical relevance. All authors interpreted the results, critically revised the manuscript, approved the final version for submission, and agreed to be accountable for all aspects of the work.

Funding

This study was supported by the National Key Research and Development Program of China (2022YFC2703000, 2022YFC2704404, 2024YFC2706902, 2022YFC2702905, 2024YFC2706700), the CAMS Innovation Fund for Medical Sciences (2021-I2M-5-001), the Shandong Provincial Natural Science Foundation (ZR2022JQ33), the Fundamental Research Funds of Shandong University (2023QNTD004), the National Special Support Program for High-level Talents, the Health Science and Technology Innovation Team Construction Project of Shandong Province, and the Taishan Scholars Program for Young Experts of Shandong Province (tsqn201909195).

Conflict of interest

The authors declare that they have no competing interests.

References

  1. Almeida-Reis S, Carvalho A, Dias C, Brito R, Silva R, Almeida-Santos T, Ramalho-Santos J, Sousa AP.  Mitochondrial Dysfunction in Advanced Maternal Aged Cumulus Cells: A Possible Link to ATP Synthase Impairment?  Biomolecules  2024;14:281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alviggi C, Andersen CY, Buehler K, Conforti A, De Placido G, Esteves SC, Fischer R, Galliano D, Polyzos NP, Sunkara SK  et al. ; Poseidon Group (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number). A new more detailed stratification of low responders to ovarian stimulation: from a poor ovarian response to a low prognosis concept. Fertil Steril  2016;105:1452–1453. [DOI] [PubMed] [Google Scholar]
  3. Ashapkin V, Suvorov A, Pilsner JR, Krawetz SA, Sergeyev O.  Age-associated epigenetic changes in mammalian sperm: implications for offspring health and development. Hum Reprod Update  2023;29:24–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bahadur G, Homburg R, Jayaprakasan K, Raperport CJ, Huirne JAF, Acharya S, Racich P, Ahmed A, Gudi A, Govind A  et al.  Correlation of IVF outcomes and number of oocytes retrieved: a UK retrospective longitudinal observational study of 172 341 non-donor cycles. BMJ Open  2023;13:e064711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Basso O, Weinberg CR, D'Aloisio AA, Sandler DP.  Maternal age at birth and daughters' subsequent childlessness. Hum Reprod  2018;33:311–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Belva F, Bonduelle M, Roelants M, Michielsen D, Van Steirteghem A, Verheyen G, Tournaye H.  Semen quality of young adult ICSI offspring: the first results. Hum Reprod  2016;31:2811–2820. [DOI] [PubMed] [Google Scholar]
  7. Belva F, Roelants M, De Schepper J, Van Steirteghem A, Tournaye H, Bonduelle M.  Reproductive hormones of ICSI-conceived young adult men: the first results. Hum Reprod  2017;32:439–446. [DOI] [PubMed] [Google Scholar]
  8. Bentzen JG, Forman JL, Larsen EC, Pinborg A, Johannsen TH, Schmidt L, Friis-Hansen L, Nyboe Andersen A.  Maternal menopause as a predictor of anti-Mullerian hormone level and antral follicle count in daughters during reproductive age. Hum Reprod  2013;28:247–255. [DOI] [PubMed] [Google Scholar]
  9. Bohn MK, Horn P, League D, Steele P, Hall A, Adeli K.  Pediatric reference intervals for endocrine markers and fertility hormones in healthy children and adolescents on the Siemens Healthineers Atellica immunoassay system. Clin Chem Lab Med  2021;59:1421–1430. [DOI] [PubMed] [Google Scholar]
  10. Brougham MF, Crofton PM, Johnson EJ, Evans N, Anderson RA, Wallace WH.  Anti-Müllerian hormone is a marker of gonadotoxicity in pre- and postpubertal girls treated for cancer: a prospective study. J Clin Endocrinol Metab  2012;97:2059–2067. [DOI] [PubMed] [Google Scholar]
  11. Catford SR, Lewis S, Halliday J, Kennedy J, O'Bryan MK, McBain J, Amor DJ, Rombauts L, Saffery R, Hart RJ  et al.  Health and fertility of ICSI-conceived young men: study protocol. Hum Reprod Open  2020;2020:hoaa042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cavalli G, Heard E.  Advances in epigenetics link genetics to the environment and disease. Nature  2019;571:489–499. [DOI] [PubMed] [Google Scholar]
  13. Cecchino GN, García-Velasco JA, Rial E.  Reproductive senescence impairs the energy metabolism of human luteinized granulosa cells. Reprod Biomed Online  2021;43:779–787. [DOI] [PubMed] [Google Scholar]
  14. Cedars MI.  Managing poor ovarian response in the patient with diminished ovarian reserve. Fertil Steril  2022;117:655–656. [DOI] [PubMed] [Google Scholar]
  15. Chen B, Du YR, Zhu H, Sun ML, Wang C, Cheng Y, Pang H, Ding G, Gao J, Tan Y  et al.  Maternal inheritance of glucose intolerance via oocyte TET3 insufficiency. Nature  2022a;605:761–766. [DOI] [PubMed] [Google Scholar]
  16. Chen W, Dong L, Wei C, Wu H.  Role of epigenetic regulation in diminished ovarian reserve. J Assist Reprod Genet  2025;42:389–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Chen Y, Xi Y, Li M, Wu Y, Yan W, Dai J, Wu M, Ding W, Zhang J, Zhang F  et al.  Maternal exposure to PM2.5 decreases ovarian reserve in neonatal offspring mice through activating PI3K/AKT/FoxO3a pathway and ROS-dependent NF-κB pathway. Toxicology  2022b;481:153352. [DOI] [PubMed] [Google Scholar]
  18. Conforti A, Esteves SC, Cimadomo D, Vaiarelli A, Di Rella F, Ubaldi FM, Zullo F, De Placido G, Alviggi C.  Management of women with an unexpected low ovarian response to gonadotropin. Front Endocrinol (Lausanne)  2019;10:387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Cui L, Qin Y, Gao X, Lu J, Geng L, Ding L, Qu Z, Zhang X, Chen ZJ.  Antimüllerian hormone: correlation with age and androgenic and metabolic factors in women from birth to postmenopause. Fertil Steril  2016;105:481–485.e481. [DOI] [PubMed] [Google Scholar]
  20. Dior UP, Karavani G, Soloveichick V, Friedlander Y, Hochner H.  Early-life factors and adult anti-Müllerian hormone levels. J Assist Reprod Genet  2021;38:3019–3025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Domínguez-Salazar E, Portillo W, Baum MJ, Bakker J, Paredes RG.  Effect of prenatal androgen receptor antagonist or aromatase inhibitor on sexual behavior, partner preference and neuronal Fos responses to estrous female odors in the rat accessory olfactory system. Physiol Behav  2002;75:337–346. [DOI] [PubMed] [Google Scholar]
  22. Drea CM, Davies CS, Greene LK, Mitchell J, Blondel DV, Shearer CL, Feldblum JT, Dimac-Stohl KA, Smyth-Kabay KN, Clutton-Brock TH.  An intergenerational androgenic mechanism of female intrasexual competition in the cooperatively breeding meerkat. Nat Commun  2021;12:7332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Ernst A, Kristensen SL, Toft G, Thulstrup AM, Håkonsen LB, Olsen SF, Ramlau-Hansen CH.  Maternal smoking during pregnancy and reproductive health of daughters: a follow-up study spanning two decades. Hum Reprod  2012;27:3593–3600. [DOI] [PubMed] [Google Scholar]
  24. Esteves SC, Yarali H, Vuong LN, Carvalho JF, Özbek İY, Polat M, Le HL, Pham TD, Ho TM.  Low prognosis by the POSEIDON criteria in women undergoing assisted reproductive technology: a multicenter and multinational prevalence study of over 13,000 patients. Front Endocrinol (Lausanne)  2021a;12:630550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Esteves SC, Yarali H, Vuong LN, Carvalho JF, Özbek İY, Polat M, Le HL, Pham TD, Ho TM, Humaidan P  et al.  Cumulative delivery rate per aspiration IVF/ICSI cycle in POSEIDON patients: a real-world evidence study of 9073 patients. Hum Reprod  2021b;36:2157–2169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Fleming R, Seifer DB, Frattarelli JL, Ruman J.  Assessing ovarian response: antral follicle count versus anti-Müllerian hormone. Reprod Biomed Online  2015;31:486–496. [DOI] [PubMed] [Google Scholar]
  27. Fraser A, McNally W, Sattar N, Anderson EL, Lashen H, Fleming R, Lawlor DA, Nelson SM.  Prenatal exposures and anti-Mullerian hormone in female adolescents: the Avon Longitudinal Study of Parents and Children. Am J Epidemiol  2013;178:1414–1423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Freeman EW, Sammel MD, Lin H, Gracia CR.  Anti-mullerian hormone as a predictor of time to menopause in late reproductive age women. J Clin Endocrinol Metab  2012;97:1673–1680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Ganer Herman H, Volodarsky-Perel A, Ton Nu TN, Machado-Gedeon A, Cui Y, Shaul J, Dahan MH.  Diminished ovarian reserve is a risk factor for preeclampsia and placental malperfusion lesions. Fertil Steril  2023;119:794–801. [DOI] [PubMed] [Google Scholar]
  30. Gaskins AJ, Zhang Y, Chang J, Kissin DM.  Predicted probabilities of live birth following assisted reproductive technology using United States national surveillance data from 2016 to 2018. Am J Obstet Gynecol  2023;228:557.e551–557.e510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Goto K, Koizumi K, Ohta Y, Hashi M, Fujii Y, Ohbo N, Saika O, Suzuki H, Saito K, Suzuki K.  Evaluation of general behavior, memory, learning performance, and brain sexual differentiation in F1 offspring males of rats treated with flutamide during late gestation. J Toxicol Sci  2005;30:249–259. [DOI] [PubMed] [Google Scholar]
  32. Greene AD, Patounakis G, Segars JH.  Genetic associations with diminished ovarian reserve: a systematic review of the literature. J Assist Reprod Genet  2014;31:935–946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Haahr T, Dosouto C, Alviggi C, Esteves SC, Humaidan P.  Management strategies for POSEIDON groups 3 and 4. Front Endocrinol (Lausanne)  2019;10:614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Hagen CP, Aksglaede L, Sørensen K, Mouritsen A, Andersson AM, Petersen JH, Main KM, Juul A.  Individual serum levels of anti-Müllerian hormone in healthy girls persist through childhood and adolescence: a longitudinal cohort study. Hum Reprod  2012;27:861–866. [DOI] [PubMed] [Google Scholar]
  35. Han S, Zhai Y, Guo Q, Qin Y, Liu P.  Maternal and neonatal complications in patients with diminished ovarian reserve in in-vitro fertilization/intracytoplasmic sperm injection cycles. Front Endocrinol  2021;12:648287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Harada N, Yotsumoto Y, Katsuki T, Yoda Y, Masuda T, Nomura M, Shiraki N, Inui H, Yamaji R.  Fetal androgen signaling defects affect pancreatic β-cell mass and function, leading to glucose intolerance in high-fat diet-fed male rats. Am J Physiol Endocrinol Metab  2019;317:E731–e741. [DOI] [PubMed] [Google Scholar]
  37. Iliodromiti S, Anderson RA, Nelson SM.  Technical and performance characteristics of anti-Müllerian hormone and antral follicle count as biomarkers of ovarian response. Hum Reprod Update  2015;21:698–710. [DOI] [PubMed] [Google Scholar]
  38. Jaswa EG, McCulloch CE, Simbulan R, Cedars MI, Rosen MP.  Diminished ovarian reserve is associated with reduced euploid rates via preimplantation genetic testing for aneuploidy independently from age: evidence for concomitant reduction in oocyte quality with quantity. Fertil Steril  2021;115:966–973. [DOI] [PubMed] [Google Scholar]
  39. Jiang Z, Wang Y, Lin J, Xu J, Ding G, Huang H.  Genetic and epigenetic risks of assisted reproduction. Best Pract Res Clin Obstet Gynaecol  2017;44:90–104. [DOI] [PubMed] [Google Scholar]
  40. Jurisicova A, Taniuchi A, Li H, Shang Y, Antenos M, Detmar J, Xu J, Matikainen T, Benito Hernández A, Nunez G  et al.  Maternal exposure to polycyclic aromatic hydrocarbons diminishes murine ovarian reserve via induction of Harakiri. J Clin Invest  2007;117:3971–3978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Konforte D, Shea JL, Kyriakopoulou L, Colantonio D, Cohen AH, Shaw J, Bailey D, Chan MK, Armbruster D, Adeli K.  Complex biological pattern of fertility hormones in children and adolescents: a study of healthy children from the CALIPER cohort and establishment of pediatric reference intervals. Clin Chem  2013;59:1215–1227. [DOI] [PubMed] [Google Scholar]
  42. La Marca A, Sighinolfi G, Radi D, Argento C, Baraldi E, Artenisio AC, Stabile G, Volpe A.  Anti-Mullerian hormone (AMH) as a predictive marker in assisted reproductive technology (ART). Hum Reprod Update  2010;16:113–130. [DOI] [PubMed] [Google Scholar]
  43. Laru J, Ojaniemi M, Franks S, Järvelin MR, Korhonen E, Piltonen TT, Sebert S, Tapanainen JS, Morin-Papunen L.  An optimal growth pattern during pregnancy and early childhood associates with better fertility in men. Eur J Endocrinol  2022;187:847–858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Li F, Ye T, Kong H, Li J, Hu L, Jin H, Guo Y, Li G.  Predictive factors for live birth in fresh in vitro fertilization/intracytoplasmic sperm injection treatment in poor ovarian reserve patients classified by the POSEIDON criteria. Front Endocrinol (Lausanne)  2021;12:630832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Li J, Cui L, Jiang X, Zhao H, Zhao S, Shi Y, Wei D, You L, Ma J, Chen ZJ.  Transmission of polycystic ovary syndrome susceptibility single-nucleotide polymorphisms and their association with phenotype changes in offspring. Hum Reprod  2020;35:1711–1718. [DOI] [PubMed] [Google Scholar]
  46. Li Y, Li X, Yang X, Cai S, Lu G, Lin G, Humaidan P, Gong F.  Cumulative live birth rates in low prognosis patients according to the POSEIDON criteria: an analysis of 26,697 cycles of in vitro fertilization/intracytoplasmic sperm injection. Front Endocrinol  2019;10:642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Lie Fong S, Visser JA, Welt CK, de Rijke YB, Eijkemans MJ, Broekmans FJ, Roes EM, Peters WH, Hokken-Koelega AC, Fauser BC  et al.  Serum anti-Müllerian hormone levels in healthy females: a nomogram ranging from infancy to adulthood. J Clin Endocrinol Metab  2012;97:4650–4655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Liu JC, Xing CH, Xu Y, Pan ZN, Zhang HL, Zhang Y, Sun SC.  DEHP exposure to lactating mice affects ovarian hormone production and antral follicle development of offspring. J Hazard Mater  2021;416:125862. [DOI] [PubMed] [Google Scholar]
  49. Liu S, Zhang M, Yang L, Li Y, Wang L, Huang Z, Wang L, Chen Z, Zhou M.  Prevalence and patterns of tobacco smoking among Chinese adult men and women: findings of the 2010 national smoking survey. J Epidemiol Community Health  2017;71:154–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Lu X, Liu Y, Xu J, Cao X, Zhang D, Liu M, Liu S, Dong X, Shi H.  Mitochondrial dysfunction in cumulus cells is related to decreased reproductive capacity in advanced-age women. Fertil Steril  2022;118:393–404. [DOI] [PubMed] [Google Scholar]
  51. Lu X, Lv X, Dong X, Li Y, Turathum B, Liu S, Wang X, Shi H, Liu Y.  Increased serine synthesis in cumulus cells of young infertile women with diminished ovarian reserve. Hum Reprod  2023;38:1723–1732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Luke B, Brown MB, Wantman E, Lederman A, Gibbons W, Schattman GL, Lobo RA, Leach RE, Stern JE.  Cumulative birth rates with linked assisted reproductive technology cycles. N Engl J Med  2012;366:2483–2491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. McIntyre BS, Barlow NJ, Foster PM.  Androgen-mediated development in male rat offspring exposed to flutamide in utero: permanence and correlation of early postnatal changes in anogenital distance and nipple retention with malformations in androgen-dependent tissues. Toxicol Sci  2001;62:236–249. [DOI] [PubMed] [Google Scholar]
  54. Menon PS, Khatwa UA.  The child with micropenis. Indian J Pediatr  2000;67:455–460. [DOI] [PubMed] [Google Scholar]
  55. Mentessidou A, Salakos C, Chrousos G, Kanaka-Gantenbein C, Kostakis A, Mirilas P.  Morphologic alterations of the genital mesentery implicated in testis non-descent in rats prenatally exposed to flutamide. Andrology  2021;9:440–450. [DOI] [PubMed] [Google Scholar]
  56. Nelson SM, Klein BM, Arce JC.  Comparison of antimüllerian hormone levels and antral follicle count as predictor of ovarian response to controlled ovarian stimulation in good-prognosis patients at individual fertility clinics in two multicenter trials. Fertil Steril  2015;103:923–930.e921. [DOI] [PubMed] [Google Scholar]
  57. Nesbit CB, Huang J, Singh B, Maher JY, Pastore LM, Segars J.  New perspectives on the genetic causes of diminished ovarian reserve and opportunities for genetic screening: systematic review and meta-analysis. F&S Rev  2020;1:1–15. [Google Scholar]
  58. Olsen KW, Castillo-Fernandez J, Chan AC, la Cour Freiesleben N, Zedeler A, Bungum M, Cardona A, Perry JRB, Skouby SO, Hoffmann ER  et al.  Identification of a unique epigenetic profile in women with diminished ovarian reserve. Fertil Steril  2021;115:732–741. [DOI] [PubMed] [Google Scholar]
  59. Pallarés ME, Adrover E, Imsen M, González D, Fabre B, Mesch V, Baier CJ, Antonelli MC.  Maternal administration of flutamide during late gestation affects the brain and reproductive organs development in the rat male offspring. Neuroscience  2014;278:122–135. [DOI] [PubMed] [Google Scholar]
  60. Peigné M, Bernard V, Dijols L, Creux H, Robin G, Hocké C, Grynberg M, Dewailly D, Sonigo C.  Using serum anti-Müllerian hormone levels to predict the chance of live birth after spontaneous or assisted conception: a systematic review and meta-analysis. Hum Reprod  2023;38:1789–1806. [DOI] [PubMed] [Google Scholar]
  61. Polyzos NP, Drakopoulos P.  Management strategies for POSEIDON's group 1. Front Endocrinol (Lausanne)  2019;10:679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Qin Y, Zhao Z, Sun M, Geng L, Che L, Chen ZJ.  Association of basal serum testosterone levels with ovarian response and in vitro fertilization outcome. Reprod Biol Endocrinol  2011;9:9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Rajpert-De Meyts E, Jørgensen N, Graem N, Müller J, Cate RL, Skakkebaek NE.  Expression of anti-Müllerian hormone during normal and pathological gonadal development: association with differentiation of Sertoli and granulosa cells. J Clin Endocrinol Metab  1999;84:3836–3844. [DOI] [PubMed] [Google Scholar]
  64. Renault CH, Aksglaede L, Wøjdemann D, Hansen AB, Jensen RB, Juul A.  Minipuberty of human infancy—a window of opportunity to evaluate hypogonadism and differences of sex development?  Ann Pediatr Endocrinol Metab  2020;25:84–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Richardson MC, Guo M, Fauser BC, Macklon NS.  Environmental and developmental origins of ovarian reserve. Hum Reprod Update  2014;20:353–369. [DOI] [PubMed] [Google Scholar]
  66. Rosen MP, Johnstone EB, Gillham SJ, Modan AE, Lipshutz AK, Reijo-Pera R, Cedars MI.  Is antral follicle count a genetic trait?  Menopause  2010;17:109–113. [DOI] [PubMed] [Google Scholar]
  67. Sartorius GA, Nieschlag E.  Paternal age and reproduction. Hum Reprod Update  2010;16:65–79. [DOI] [PubMed] [Google Scholar]
  68. Shahine LK, Marshall L, Lamb JD, Hickok LR.  Higher rates of aneuploidy in blastocysts and higher risk of no embryo transfer in recurrent pregnancy loss patients with diminished ovarian reserve undergoing in vitro fertilization. Fertil Steril  2016;106:1124–1128. [DOI] [PubMed] [Google Scholar]
  69. Shaw L, Sneddon SF, Brison DR, Kimber SJ.  Comparison of gene expression in fresh and frozen-thawed human preimplantation embryos. Reproduction  2012;144:569–582. [DOI] [PubMed] [Google Scholar]
  70. Smith P, Steckler TL, Veiga-Lopez A, Padmanabhan V.  Developmental programming: differential effects of prenatal testosterone and dihydrotestosterone on follicular recruitment, depletion of follicular reserve, and ovarian morphology in sheep. Biol Reprod  2009;80:726–736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Sobinoff AP, Sutherland JM, Beckett EL, Stanger SJ, Johnson R, Jarnicki AG, McCluskey A, St John JC, Hansbro PM, McLaughlin EA.  Damaging legacy: maternal cigarette smoking has long-term consequences for male offspring fertility. Hum Reprod  2014;29:2719–2735. [DOI] [PubMed] [Google Scholar]
  72. Soldin OP, Hoffman EG, Waring MA, Soldin SJ.  Pediatric reference intervals for FSH, LH, estradiol, T3, free T3, cortisol, and growth hormone on the DPC IMMULITE 1000. Clin Chim Acta  2005;355:205–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Steckler T, Wang J, Bartol FF, Roy SK, Padmanabhan V.  Fetal programming: prenatal testosterone treatment causes intrauterine growth retardation, reduces ovarian reserve and increases ovarian follicular recruitment. Endocrinology  2005;146:3185–3193. [DOI] [PubMed] [Google Scholar]
  74. Sunkara SK, Khalaf Y, Maheshwari A, Seed P, Coomarasamy A.  Association between response to ovarian stimulation and miscarriage following IVF: an analysis of 124 351 IVF pregnancies. Hum Reprod  2014;29:1218–1224. [DOI] [PubMed] [Google Scholar]
  75. Sunman B, Yurdakök K, Kocer-Gumusel B, Özyüncü Ö, Akbıyık F, Balcı A, Özkemahlı G, Erkekoğlu P, Yurdakök M.  Prenatal bisphenol A and phthalate exposure are risk factors for male reproductive system development and cord blood sex hormone levels. Reprod Toxicol  2019;87:146–155. [DOI] [PubMed] [Google Scholar]
  76. Swamy GK, Ostbye T, Skjaerven R.  Association of preterm birth with long-term survival, reproduction, and next-generation preterm birth. JAMA  2008;299:1429–1436. [DOI] [PubMed] [Google Scholar]
  77. Tahmasebi H, Higgins V, Fung AWS, Truong D, White-Al Habeeb NMA, Adeli K.  Pediatric reference intervals for biochemical markers: gaps and challenges, recent national initiatives and future perspectives. EJIFCC  2017;28:43–63. [PMC free article] [PubMed] [Google Scholar]
  78. van der Pal SM, van der Meulen SA, Welters SM, Bakker LA, de Groot CJM, van Kaam AH, Verrips E.  Reproductive risks in 35-year-old adults born very preterm and/or with very low birth weight: an observational study. Eur J Pediatr  2021;180:1219–1228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Wang Y, Yuan Y, Meng D, Liu X, Gao Y, Wang F, Li Y, He W.  Effects of environmental, social and surgical factors on ovarian reserve: implications for age-relative female fertility. Int J Gynaecol Obstet  2021;154:451–458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Welsh M, Saunders PT, Fisken M, Scott HM, Hutchison GR, Smith LB, Sharpe RM.  Identification in rats of a programming window for reproductive tract masculinization, disruption of which leads to hypospadias and cryptorchidism. J Clin Invest  2008;118:1479–1490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Woldringh GH, Frunt MH, Kremer JA, Spaanderman ME.  Decreased ovarian reserve relates to pre-eclampsia in IVF/ICSI pregnancies. Hum Reprod  2006;21:2948–2954. [DOI] [PubMed] [Google Scholar]
  82. Woolner AM, Bhattacharya S.  Intergenerational trends in reproduction: infertility and pregnancy loss. Best Pract Res Clin Obstet Gynaecol  2023;86:102305. [DOI] [PubMed] [Google Scholar]
  83. Xi W, Mao H, Cui Z, Yao H, Shi R, Gao Y.  Scream sound-induced chronic psychological stress results in diminished ovarian reserve in adult female rat. Endocrinology  2022;163:bqac042. [DOI] [PubMed] [Google Scholar]
  84. Xia L, Han S, Huang J, Zhao Y, Tian L, Zhang S, Cai L, Xia L, Liu H, Wu Q.  Predicting personalized cumulative live birth rate after a complete in vitro fertilization cycle: an analysis of 32,306 treatment cycles in China. Reprod Biol Endocrinol  2024;22:65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Xiao S, Li Y, Long L, Luo C, Mai Q.  Basal serum testosterone levels correlate with ovarian reserve and ovarian response in cycling women undergoing in vitro fertilization. Gynecol Endocrinol  2016;32:51–54. [DOI] [PubMed] [Google Scholar]
  86. Xu X, Rao Y, Wang L, Liu S, Guo JJ, Sharma M, Zhao Y.  Smoking in pregnancy: a cross-sectional study in China. Tob Induc Dis  2017;15:35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Yan E, Li W, Jin H, Zhao M, Chen D, Hu X, Chu Y, Guo Y, Jin L.  Cumulative live birth rates and birth outcomes after IVF/ICSI treatment cycles in young POSEIDON patients: a real-world study. Front Endocrinol  2023;14:1107406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Yan J, Kong L, Zhang X, Yu M, Zhu K, Zhao A, Shi D, Sun Y, Wang J, Shen W  et al.  Maternal zearalenone exposure affects gut microbiota and follicular development in suckled offspring. J Agric Food Chem  2022;70:15570–15582. [DOI] [PubMed] [Google Scholar]
  89. Yang R, Zhang C, Chen L, Wang Y, Li R, Liu P, Qiao J.  Cumulative live birth rate of low prognosis patients with POSEIDON stratification: a single-centre data analysis. Reprod Biomed Online  2020;41:834–844. [DOI] [PubMed] [Google Scholar]
  90. Yang X, Zhang J, Wu J, Huang J, Chen Q, Lu X, Lyu Q, Kuang Y, Wang Y.  Association between the number of oocytes retrieved and neonatal outcomes after freeze-all IVF cycles. Hum Reprod  2019;34:1937–1947. [DOI] [PubMed] [Google Scholar]
  91. Yu H, Zhou X, Zhang Y, Wen K, Yan Z, Fu H, Zhu Y.  Flutamide induces uterus and ovary damage in the mouse via apoptosis and excessive autophagy of cells following triggering of the unfolded protein response. Reprod Fertil Dev  2021;33:466–475. [DOI] [PubMed] [Google Scholar]
  92. Zhang Y, Zhang C, Shu J, Guo J, Chang HM, Leung PCK, Sheng JZ, Huang H.  Adjuvant treatment strategies in ovarian stimulation for poor responders undergoing IVF: a systematic review and network meta-analysis. Hum Reprod Update  2020;26:247–263. [DOI] [PubMed] [Google Scholar]
  93. Zhen XM, Qiao J, Li R, Wang LN, Liu P.  The clinical analysis of poor ovarian response in in-vitro-fertilization embryo-transfer among Chinese couples. J Assist Reprod Genet  2008;25:17–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Zhou W, Feng W, Chang J, Hu J, Li F, Hu K, Jiao J, Xue X, Lan T, Wan W  et al.  Metabolic profiles of children aged 2-5 years born after frozen and fresh embryo transfer: a Chinese cohort study. PLoS Med  2024;21:e1004388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Zhuang J, Li H, Li X, Tian D, Yang D, Zhu M.  The incidence of unexpected poor ovarian response in Chinese young women. Medicine  2019;98:e14379. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

hoaf019_Supplementary_Data

Data Availability Statement

The data set cannot be shared directly due to current data protection legislation. Access to the data can be requested from the Birth Cohort Data Management Committee at the State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University (ARTKID_sdu@163.com), following approval from the ethics committees at the Reproductive Medical Center of Shandong University (wanghuidan@sduivf.com).


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