Literature DB >> 35418784

Temporary Increased LDL-C in Offspring with Extreme Elevation of Maternal Preconception Estradiol: A Retrospective Cohort Study.

Wanbing Feng1,2,3,4,5,6, Di Zhang1,2,3,4,5,6, Linlin Fu1,2,3,4,5,6, Jingmei Hu1,2,3,4,5,6, Shanshan Gao1,2,3,4,5,6, Xiaocui Song1, Linlin Cui1,2,3,4,5,6.   

Abstract

Objective: To investigate the effect of maternal estradiol (E2) elevation on long-term metabolic manifestations in the offspring. Study Design and Setting: This was a retrospective cohort study. Overall, 3690 children conceived by in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) between July 2014 and December 2017 were recruited and divided into four groups categorized by maternal E2 quartiles (Q1, <2420; Q2, 2420-3839; Q3, 3839-5599; and Q4, ≥5599 pg/mL). The metabolic profiles were measured during childhood. Linear mixed models were used to evaluate the association between maternal E2 elevation and metabolic phenotypes of the offspring.
Results: Lipoprotein cholesterol (LDL-C) was significantly higher in the highest quartile group than in the lowest quartile group during infancy (adjusted mean difference [95% confidence interval, CI]): 0.11 [0.02, 0.20], P = 0.005), but the difference disappeared in the later childhood phase. In children born after fresh embryo transfer, LDL-C showed an increasing trend with the increase in maternal E2 level (adjusted mean difference [95% CI]: Q2 vs Q1, -0.01 [-0.11, 0.08], Q3 vs Q1, 0.06 [-0.04, 0.15], Q4 vs Q1, 0.10 [0, 0.20]). Other metabolic variables were comparable across increasing quartiles of maternal E2 levels.
Conclusion: This study demonstrates a temporary increase in LDL-C levels in infants with higher levels of maternal preconception E2 levels. However, the long-term safety of hyperestrogens after ovarian stimulation in the next generation is favorable. The mechanism underlying the transiently increased metabolic dysfunction risk in infants conceived by IVF/ICSI requires investigation in future studies.
© 2022 Feng et al.

Entities:  

Keywords:  assisted reproductive technology; controlled ovarian hyperstimulation; offspring; supraphysiologic estradiol

Year:  2022        PMID: 35418784      PMCID: PMC9001024          DOI: 10.2147/CLEP.S358999

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Previous studies, including ours, indicated that offspring conceived through in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) showed less favorable metabolic health manifesting as differential peripheral body fat deposit,1,2 elevated blood pressure,3 deteriorate gluco-metabolism,4–6 raised triglycerides (TG),7 and decreased low-density lipoprotein cholesterol (LDL-C) levels.5 According to the DOHaD theory, metabolic changes in later life can be traced back to abnormal exposure during early life.8,9 Therefore, IVF/ICSI procedures were considered related to exposure in this population. Since infertile couples would not have babies without IVF/ICSI treatment, determining the key factors that conferred metabolic risk in the next generation was essential. Controlled ovarian hyperstimulation (COH) is the key procedure in IVF/ICSI treatment, and the fundamental differential exposure between IVF/ICSI offspring and those nature conceived.10 Compared with the natural cycle, maternal serum estradiol (E2) levels increased more than tenfold in the COH cycle.11 It has been reported that higher maternal E2 levels on human chorionic gonadotropin (hCG) trigger days are associated with the risk of low birth weight (LBW) in the offspring not only after fresh12 but also after frozen embryo transfer (ET).13 LBW is well accepted as a risk factor for poor metabolic outcomes later in life.14 Moreover, elevated maternal serum E2 levels throughout pregnancy are directly associated with insulin resistance and dyslipidemia in newborns.15,16 However, animal studies reported that mice conceived by COH alone did not exhibit any metabolic dysfunction in childhood6 and even showed reduced lipid accumulation in the peripheral metabolic organs of old mice.16 Unfortunately, human data on the long-term metabolic profiles of offspring conceived through IVF/ICSI are limited. Only one study reported that prenatal high E2 exposure increased the fasting insulin and homeostatic model assessment for insulin resistance (HOMA-IR) index of children conceived by IVF/ICSI.15 This retrospective cohort study aimed to investigate the association between maternal E2 levels and the long-term metabolic profiles of children conceived through IVF/ICSI at ages 2–9. The results would help to target the risk factors of metabolic disturbance in IVF/ICSI offspring and provide valuable evidence on the intergenerational safety of ovarian stimulation in counseling couples with infertility before IVF/ICSI treatment.

Materials and Methods

Study Population

This retrospective cohort study was performed at the Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University. A total of 3690 singleton children who conceived by IVF/ICSI treatment between July 2014 and December 2017 were recruited. Children born after oocyte or embryo donation were excluded from this study. All participants were followed up at least once in their childhood (aged 2 to 9 years), which led to a total of 5238 visits. The study was approved by the Reproductive Medicine Ethics Committee of the Hospital for Reproductive Medicine Affiliated to Shandong University (Ethics approval number: NO. 2014).17 The parents signed informed consent forms with the assent of the child.

Outcome Assessment

The enrolled children were recalled at least once during their childhood phase. All the outcome assessments were performed at each visit. The height (±0.1 cm) and weight (±0.1 kg) of the offspring were measured twice using a stadiometer and electronic scale with a light cloth and no shoes. The BMI was calculated as weight (kg)/[height (m)]2. Blood samples of the offspring were collected after overnight fasting and stored at −80°C until the tests. Fasting blood glucose (FBG) levels were analyzed using the hexokinase method (Cobas c702 instrument; Roche Diagnostics, Germany). Fasting insulin was measured in the serum using an electrochemiluminescence immunoassay (Cobas e601 instrument; Roche Diagnostics, Germany). Total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and LDL-C levels were measured in serum using a homogeneous assay (Cobas c702 instrument; Roche Diagnostics, Germany). HOMA-IR was calculated as [insulin (mIU/L) FBG (mmol/L)]/22.5. HOMA of beta-cell function (HOMA-β) was calculated using the formula [20*insulin (mIU/mL)]/[FBG (mmol/L) - 3.5].

Exposure Assessment

The IVF/ICSI protocols have been described in detail in our previous study.17 Maternal E2 levels were tested using chemiluminescence immunoassays (Roche Diagnostics, Germany) on hCG trigger days, with intra- and inter-assay coefficients of variation of < 10%. All mother-offspring pairs were grouped into four quartiles: Q1 (E2 < 2420 pg/mL), Q2 (2420 ≤ E2 < 3839 pg/mL), Q3 (3839 ≤ E2 < 5599 pg/mL), and Q4 (E2 ≥ 5599 pg/mL).

Covariate Assessment

Pre-pregnancy height (±0.1 cm) and weight (±0.1 kg) of parents were measured at enrolment using a stadiometer and electronic scale to calculate BMI. Information on the parental date of birth, educational level, and parity (0 or 1) was obtained using a standardized questionnaire during a face-to-face interview. Parental age at delivery was calculated based on the date of parental birth and delivery. The IVF/ICSI procedures were extracted by reviewing the medical records. In addition to ovarian stimulation, IVF/ICSI procedures included ICSI (no or yes), cycle type (fresh or frozen), number of embryos transfer (one or more), stage of ET (cleavage or blastocyst), preimplantation genetic testing (PGT) (no or yes), and assisted hatching (no or yes). Perinatal information was recorded based on the birth certificate, including date of delivery, sex (male or female), birth weight, gestational age, and caesarean birth (no or yes). The dietary intake of the children was obtained using a standardized questionnaire completed by their parents. Energy intake was calculated based on the dietary intake when the offspring were above 4 years of age.

Statistical Analysis

All data were analyzed using R3.6.3. Categorical variables were presented as counts (proportions). For continuous variables, normality plots and the Shapiro–Wilk test were used for normality testing. Continuous variables are presented as mean ± standard deviation when normally distributed and as median (25th–75th percentile) when not normally distributed. Baseline characteristics among the four groups were compared using the Kruskal–Wallis test for non-normally distributed continuous variables and Fisher’s exact test for categorical variables. Linear mixed effects regression was used to determine the estimated mean difference (MD) and 95% confidence intervals (CIs) of outcomes for each quartile of E2 levels, with the lowest quartile (Q1) always used as a reference. A linear mixed-effects regression model was used to adjust for the confounding effect of repeated measurements in the same child at different time points.18 Model 1 tested the crude unadjusted values. Model 2 was used to control for potential confounding factors including maternal age, BMI, paternal age, BMI, cycle type, number of ET, stage of ET, offspring gestational age, birth weight, sex, and age at the visit. Since the distribution of insulin, HOMA-IR, and HOMA-β was skewed, loge transformation was performed prior to the application of regression models. A P-value <0.017 was regarded as statistically significant (Bonferroni adjustment, 0.05/3). To test the robustness of the results, we further stratified the mother-offspring pairs according to cycle type (fresh and frozen ET) and offspring age (2–3, 4–5, and 6–9 years).

Results

We finally included 3690 mother-offspring pairs and 5238 flow-up visits in this study [maternal age, 30.8 (28.2, 34.0) years; maternal BMI, 22.7 (20.7, 25.1) kg/m2; paternal age, 31.6 (28.6, 34.9) years; paternal BMI 25.4 (22.8, 28.0) kg/m2; male offspring, 1954 (53.0%); offspring age, 4.1 (3.1, 5.6) kg/m2]. The baseline characteristics of the patients are presented in Table 1. Parental age and maternal BMI were the highest in the Q1 group. There were no significant differences in the parental education level or parity between the groups. The median maternal E2 levels were 1770, 3111, 4329, and 7043 pg/mL in the four groups. The lowest median gonadotropin dose was observed in the top quartile (Q4) group, with the highest ovarian stimulation duration. Transfer of frozen embryos, single embryos, and blastocysts was most prevalent in the Q4 group. The proportions of ICSI, PGT, and assisted hatching were similar among the four groups. The gestational age of the Q1 group was the lowest. There were no significant differences among the groups in terms of birth weight, caesarean birth, and sex. During the follow-up visits, the highest median offspring age was 4.5 years in the Q4 group. The dietary intake of the children among the groups was comparable.
Table 1

Baseline Characteristics of Study Population

Quartiles Based on Maternal E2p valueTotal (n=3690)
Q1 (n=923) E2<2420Q2 (n=922) 2420≤E2<3839Q3 (n=922) 3839≤E2<5599Q4 (n=923) E2≥5599
Parental characteristics
 Maternal age at delivery, years32.1(28.7, 34.9)30.8(28.3, 33.9)30.6(28.1, 33.7)30.3(27.7, 33.1)<0.00130.8(28.2, 34.0)
 Maternal BMI, kg/m223.4(21.3, 26)22.8(20.8, 25.5)22.3(20.4, 24.6)22.1(20.3, 24.3)<0.00122.7(20.7, 25.1)
 Maternal education level (college or higher), n (%)275(29.8)276(29.9)295(32.0)275(29.8)0.4401121(30.4)
 Nulliparity, n (%)778(84.3)805(87.3)810(87.9)812(88.0)0.0633205(86.9)
 Paternal age at delivery, years32.4(29.1, 35.9)31.7(28.4, 35.2)31.5(28.6, 34.6)30.8(28.1, 34.1)<0.00131.6(28.6, 34.9)
 Paternal BMI, kg/m225.3(22.6, 27.9)25.6(23.1, 28.1)25.4(22.7, 28.1)25.4(22.8, 27.8)0.45325.4(22.8, 28.0)
 Paternal education level (college or higher), n (%)305(33.0)334(36.2)354(38.4)316(34.2)0.1721309(35.5)
IVF/ICSI Characteristics
 E2 levels on hCG trigger day, pg/mL1770(1399, 2094)3111(2743, 3493)4329(4300, 4991)7043(6260, 8231)<0.0013839(2416, 5599)
 Days of ovarian stimulation, days10(8, 11)10(9, 11)10(9, 11)10(9, 11)<0.00110(9, 11)
 Gonadotropin dose, IU1850(1350, 2475)1800(1350, 2400)1775(1350, 2275)1575(1313, 2050)<0.0011725(1350, 2250)
 Cycle type (Frozen), n (%)249(27.0)354(38.4)472(51.2)573(62.1)<0.0011648(44.7)
 Number of embryos transfer>1, n (%)557(60.3)613(66.5)571(61.9)536(58.1)0.0022277(61.7)
 Stage of embryo transfer (Blastocyst), n (%)310(33.6)356(38.6)469(50.9)563(61.0)<0.0011698(46.0)
 ICSI used, n (%)274(29.8)281(30.5)308(33.4)304(32.9)0.2631167(31.7)
 PGT used, n (%)28(3.0)23(2.5)29(3.1)25(2.7)0.828105(2.8)
 Assisted hatching, n (%)918(99.5)916(99.3)915(99.2)917(99.3)0.9533666(99.3)
Perinatal characteristics
 Birthweight, kg3.5(3.2, 3.8)3.5(3.2, 3.8)3.5(3.2, 3.8)3.5(3.2, 3.8)0.8343.5(3.2, 3.8)
 Gestational age at birth, weeks39.1(38.3, 40.0)39.3(38.6, 40.0)39.1(38.4, 40.0)39.3(38.4, 40.0)0.02039.1(38.4, 40.0)
 Caesarean birth, n (%)726(78.7)699(75.8)681(73.9)689(74.6)0.0842795(75.7)
 Sex (male), n (%)489(53.0)459(49.8)515(55.9)491(53.2)0.0761954(53.0)
Children’s characteristics and lifestyle factors
 No. of visits12951273133813325238
 Age, years4.0(3.0, 5.5)4.0(3.1, 5.5)4.1(3.0, 5.7)4.5(3.2, 5.9)<0.0014.1(3.1, 5.6)
 Intake of food and drink
 2≤age<4
  Vegetables daily, n (%)515(80.0)515(83.2)537(84.3)484(83.0)0.2032051(82.6)
  Fruit daily, n (%)561(87.1)548(88.5)581(91.2)521(89.4)0.1242211(89.0)
  Dairy food daily, n (%)273(42.4)257(41.5)278(43.6)236(40.5)0.7161044(42.0)
  Marine products once or more weekly, n (%)399(62.0)371(59.9)384(60.3)338(58.0)0.5651492(60.1)
 4≤age<10
  Energy, kcal/day1826(1511, 2291)1797(1462, 2237)1844(1503, 2292)1802(1503, 2238)0.2611816(1491, 2264)

Notes: Data are presented as median (interquartile range) or n (%). Statistical differences were tested using the Kruskal–Wallis test for continuous variables and the Fisher’s exact test for categorical variables. Statistical significance was set at P <0.05, and the results are highlighted in bold. †For the Q2 group, two data points were missing in the days of ovarian stimulation and gonadotropin dose.

Abbreviations: BMI, body mass index; E2, estradiol; ICSI, intracytoplasmic sperm injection; IVF, in vitro fertilization; PGT, preimplantation genetic testing.

Baseline Characteristics of Study Population Notes: Data are presented as median (interquartile range) or n (%). Statistical differences were tested using the Kruskal–Wallis test for continuous variables and the Fisher’s exact test for categorical variables. Statistical significance was set at P <0.05, and the results are highlighted in bold. †For the Q2 group, two data points were missing in the days of ovarian stimulation and gonadotropin dose. Abbreviations: BMI, body mass index; E2, estradiol; ICSI, intracytoplasmic sperm injection; IVF, in vitro fertilization; PGT, preimplantation genetic testing. Table 2 shows the metabolic variables of children grouped by maternal E2 levels. No differences were found in BMI, FBG, insulin, HOMA-IR, HOMA-β, TC, TG, LDL-C, or HDL-C across increasing quartiles of maternal E2 levels. The results were maintained after adjusting for confounding factors including parental age, BMI, cycle type, number, stage of ET, offspring gestational age, birth weight, sex, and age at the visit. The findings were consistent with the main results of subgroup analysis stratified by cycle type (fresh and frozen ET) (Figure 1). However, a trend of gradient increase in LDL-C along with maternal E2 was observed in children born after fresh ET [adjusted mean difference (95% CI): Q2 vs Q1, −0.01 (−0.11, 0.08); Q3 vs Q1, 0.06 (−0.04, 0.15), Q4 vs Q1, 0.10 (0, 0.20]). We further stratified the offspring into three subgroups according to age (2–3, 4–5, and 6–9 years). The infant characteristics are listed in Table 3. Compared to the Q1 group, LDL-C was significantly increased in the Q4 group after adjusting for confounding factors during infancy [adjusted mean difference (95% CI): 0.11 (0.02, 0.20), P=0.005; Table 4]. However, the parameters during childhood were comparable among the groups –.
Table 2

Mean Differences (95% CI) for Metabolic Variables of Children Across Quartiles of Maternal E2 Levels

Quartiles Based on Maternal E2
Q1 (1295 Visits) E2<2420Q2 (1273 Visits) 2420≤E2<3839p valueQ3 (1338 Visits) 3839≤E2<5599p valueQ4 (1332 Visits) E2≥5599p value
BMI, kg/m2Crude modelRef0.01(−0.25, 0.26)1.0000.08(−0.18, 0.33)0.8660.08(−0.17, 0.34)0.830
Adjusted modelRef0.02(−0.22, 0.25)0.9980.15(−0.09, 0.39)0.3900.10(−0.15, 0.34)0.750
FBG, mmol/lCrude modelRef−0.01(−0.05, 0.04)0.9780(−0.04, 0.05)0.9990.03(−0.02, 0.07)0.339
Adjusted modelRef0(−0.05, 0.04)0.9950(−0.04, 0.05)0.9910.03(−0.02, 0.07)0.330
Insulin, pmol/lCrude modelRef0.05(−0.03, 0.13)0.3810(−0.07, 0.08)0.9990.05(−0.03, 0.12)0.437
Adjusted modelRef0.04(−0.03, 0.11)0.5090.01(−0.06, 0.08)0.9930.02(−0.05, 0.09)0.883
HOMA-IRCrude modelRef0.05(−0.04, 0.13)0.4650(−0.08, 0.09)0.9990.05(−0.03, 0.13)0.387
Adjusted modelRef0.04(−0.04, 0.11)0.5820.01(−0.07, 0.08)0.9920.03(−0.05, 0.10)0.815
HOMA-βCrude modelRef0.05(−0.01, 0.12)0.1660.02(−0.05, 0.09)0.8640.02(−0.04, 0.09)0.781
Adjusted modelRef0.04(−0.02, 0.10)0.3130.02(−0.04, 0.09)0.8210(−0.07, 0.07)1.000
TC, mmol/lCrude modelRef−0.02(−0.09, 0.06)0.9620.01(−0.07, 0.09)0.9700.03(−0.05, 0.11)0.723
Adjusted modelref0(−0.09, 0.08)0.9990.04(−0.04, 0.12)0.6000.07(−0.01, 0.16)0.114
TG, mmol/lCrude modelRef0.01(−0.02, 0.05)0.7900.01(−0.02, 0.05)0.7750.01(−0.03, 0.04)0.954
Adjusted modelRef0.01(−0.03, 0.04)0.9070.02(−0.02, 0.05)0.6710.01(−0.03, 0.05)0.898
LDL-C, mmol/lCrude modelRef−0.01(−0.08, 0.06)0.9820.01(−0.05, 0.08)0.9640.03(−0.04, 0.09)0.769
Adjusted modelRef0(−0.07, 0.07)0.9990.04(−0.03, 0.11)0.4870.07(0, 0.14)0.056
HDL-C, mmol/lCrude modelRef−0.01(−0.05, 0.02)0.8390(−0.03, 0.03)1.0000(−0.03, 0.04)0.999
Adjusted modelRef0(−0.04, 0.03)0.9840(−0.04, 0.03)0.999−0.01(−0.04, 0.03)0.962

Notes: Mean differences were obtained using a linear mixed-effects regression model. †Loge-transformed Insulin, HOMA-IR, HOMA-β values were considered continuous variables. Adjusted model: adjusted for maternal age, BMI, paternal age, BMI, cycle type, number of embryos transfer, stage of embryo transfer, offspring gestational age, birth weight, sex and age at visit.

Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol.

Figure 1

Differences in metabolic variables of children across quarters of maternal E2 levels stratified by embryo frozen Association between maternal E2 and metabolic variables in offspring after Fresh (A) and Frozen (B) embryo transfer.Abbreviations: FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol.

Table 3

Characteristics of Children Aged 2 to 3 Yrs

Quartiles Based on Maternal E2Total (n=2398)
Q1(n=614) E2<2420Q2(n=597) 2420≤E2<3839Q3(n=618) 3839≤E2<5599Q4(n=569) E2≥5599
Perinatal characteristics
 Birthweight, kg3.47±0.553.46±0.523.44±0.503.45±0.493.45±0.52
 Gestational age at birth, weeks38.91±1.5639.03±1.5839.02±1.5739.06±1.5339.01±1.56
 Sex (male), n (%)335(54.6)299(50.1)352(57.0)303(53.3)1289(53.8)
Metabolic variables
 No. of visits6446196375832483
 BMI, kg/m215.88±1.4615.92±1.5115.91±1.4515.91±1.4715.90±1.47
 FBG, mmol/l4.87±0.394.89±0.394.86±0.394.89±0.414.87±0.40
 Insulin, pmol/l3.27(2.04, 4.90)3.40(2.27, 5.03)3.24(2.18, 4.90)3.39(2.12, 4.91)3.32(2.14, 4.93)
 HOMA-IR0.71(0.43, 1.10)0.74(0.48, 1.12)0.71(0.46, 1.09)0.73(0.43, 1.08)0.72(0.45, 1.09)
 HOMA-β50.81(34.13, 69.21)50.57(36.48, 74.09)49.00(34.50, 73.21)50.54(35.78, 69.18)50.21(34.97, 71.05)
 TC, mmol/l4.05±0.664.02±0.714.08±0.714.10±0.744.06±0.70
 TG, mmol/l0.73±0.330.74±0.290.73±0.290.74±0.280.73±0.30
 LDL-C, mmol/l2.42±0.552.41±0.592.45±0.592.49±0.602.44±0.58
 HDL-C, mmol/l1.40±0.291.39±0.301.40±0.301.38±0.301.39±0.30

Notes: Data are presented as the mean ± SD, median (interquartile range), or n (%).

Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC=total cholesterol; TG, triacylglycerol.

Table 4

Mean Differences (95% CI) for Metabolic Variables of Children Aged 2 to 3 Yrs Across Quartiles of Maternal E2 Levels

Quartiles Based on Maternal E2
Q1 (644 Visits) E2<2420Q2 (619 Visits) 2420≤E2<3839p valueQ3 (637 Visits) 3839≤E2<5599p valueQ4 (583 Visits) E2≥5599p value
BMI, kg/m2Crude modelRef0.05(−0.25, 0.35)0.9710.06(−0.23, 0.36)0.9440.07(−0.23, 0.37)0.937
Adjusted modelRef0.07(−0.21, 0.35)0.9120.16(−0.13, 0.44)0.4950.15(−0.15, 0.44)0.569
FBG, mmol/lCrude modelRef0.01(−0.05, 0.06)0.986−0.02(−0.07, 0.04)0.8770.01(−0.05, 0.07)0.962
Adjusted modelRef0.01(−0.04, 0.07)0.909−0.01(−0.06, 0.05)0.9790.03(−0.03, 0.08)0.676
Insulin, pmol/lCrude modelRef0.08(−0.02, 0.17)0.1390(−0.09, 0.09)0.9990.04(−0.06, 0.13)0.736
Adjusted modelRef0.07(−0.02, 0.16)0.1880.01(−0.08, 0.10)0.9880.04(−0.05, 0.14)0.631
HOMA-IRCrude modelRef0.08(−0.02, 0.18)0.168−0.01(−0.10, 0.09)0.9990.04(−0.06, 0.14)0.744
Adjusted modelRef0.07(−0.02, 0.17)0.2060.01(−0.09, 0.11)0.9940.05(−0.05, 0.15)0.599
HOMA-βCrude modelRef0.07(−0.01, 0.15)0.1330.03(−0.05, 0.11)0.7960.03(−0.05, 0.12)0.752
Adjusted modelRef0.06(−0.02, 0.14)0.2470.04(−0.04, 0.12)0.6500.03(−0.06, 0.11)0.825
TC, mmol/lCrude modelRef−0.04(−0.14, 0.06)0.7530.01(−0.08, 0.11)0.9850.05(−0.05, 0.15)0.561
Adjusted modelRef−0.03(−0.13, 0.07)0.8870.04(−0.06, 0.14)0.7680.09(−0.02, 0.19)0.135
TG, mmol/lCrude modelRef0.01(−0.04, 0.05)0.9740.01(−0.04, 0.05)0.9880.01(−0.03, 0.06)0.857
Adjusted modelRef0(−0.04, 0.05)0.9990.01(−0.04, 0.05)0.9750.02(−0.03, 0.06)0.819
LDL-C, mmol/lCrude modelRef−0.02(−0.1, 0.06)0.9190.03(−0.05, 0.11)0.7930.07(−0.01, 0.15)0.121
Adjusted modelRef−0.01(−0.1, 0.07)0.9730.05(−0.03, 0.14)0.3450.11(0.02, 0.20)0.005*
HDL-C, mmol/lCrude modelRef−0.01(−0.05, 0.03)0.8950(−0.05, 0.04)0.995−0.03(−0.07, 0.01)0.333
Adjusted modelRef0(−0.05, 0.04)0.9940(−0.05, 0.04)0.994−0.03(−0.07, 0.01)0.317

Notes: Mean differences were obtained using a linear mixed-effects regression model, *P<0.05, in bold. †Loge-transformed insulin, HOMA-IR, and HOMA-β values were considered continuous variables. Adjusted model: adjusted for maternal age, BMI, paternal age, BMI, cycle type, number of embryos transfer, stage of embryo transfer, offspring gestational age, birth weight, sex and age at visit.

Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol.

Mean Differences (95% CI) for Metabolic Variables of Children Across Quartiles of Maternal E2 Levels Notes: Mean differences were obtained using a linear mixed-effects regression model. †Loge-transformed Insulin, HOMA-IR, HOMA-β values were considered continuous variables. Adjusted model: adjusted for maternal age, BMI, paternal age, BMI, cycle type, number of embryos transfer, stage of embryo transfer, offspring gestational age, birth weight, sex and age at visit. Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol. Characteristics of Children Aged 2 to 3 Yrs Notes: Data are presented as the mean ± SD, median (interquartile range), or n (%). Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC=total cholesterol; TG, triacylglycerol. Mean Differences (95% CI) for Metabolic Variables of Children Aged 2 to 3 Yrs Across Quartiles of Maternal E2 Levels Notes: Mean differences were obtained using a linear mixed-effects regression model, *P<0.05, in bold. †Loge-transformed insulin, HOMA-IR, and HOMA-β values were considered continuous variables. Adjusted model: adjusted for maternal age, BMI, paternal age, BMI, cycle type, number of embryos transfer, stage of embryo transfer, offspring gestational age, birth weight, sex and age at visit. Abbreviations: BMI, body mass index; E2, estradiol; FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostatic model assessment for insulin resistance; HOMA-β, homeostatic model assessment of beta cell function; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol. Differences in metabolic variables of children across quarters of maternal E2 levels stratified by embryo frozen Association between maternal E2 and metabolic variables in offspring after Fresh (A) and Frozen (B) embryo transfer.Abbreviations: FBG, fasting blood glucose; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triacylglycerol.

Discussion

Our study indicated that children with higher maternal E2 levels before conception manifested temporary increases in LDL-C levels during infancy. However, in childhood, those with different maternal E2 levels before conception showed similar metabolic profiles. This indicates that maternal COH does not affect the long-term metabolic health of the children. Ovarian stimulation was one of the necessary key procedures in IVF/ICSI treatment.19 In a COH cycle of normal ovarian response, more than 5–8 mature follicles would develop and produce supraphysiological E2 levels,11 which is only 100–300 pg/mL in natural conceived women.20 A previous study indicated that the elevation of steroid hormones could persist through the first trimester in women who underwent COH.21 Maternal E2 enters fetal circulation through the placenta.22 Accumulating evidence suggests that children exposed to a higher maternal E2 displayed poor neonatal outcomes,12,13 deregulated cardiovascular functions,23 and a less favorable thyroid hormone profile,24 neurodevelopment,25,26 and neonatal metabolism.15,16 In this study, we also found a temporary increase in LDL-C levels in children within the highest quartile of maternal E2 levels during the infancy phase. This may be affected by their mothers, whose serum LDL-C, TG, and Apo-B levels were reported to increase after ovarian stimulation.26 Intrauterine exposure to elevated maternal lipid levels may upregulate genes involved in de novo lipogenesis, cholesterol synthesis, and dysregulation of genes related to lipid metabolism in offspring.27,28 In addition, increased E2 levels after ovarian stimulation could occur throughout the gestation period in fresh cycles and could be distributed into the fetal bloodstream.16,23 Furthermore, it was demonstrated that E2 could stimulate the synthesis of LDL-C and TC via increased expression of the cholesterol synthesis rate-limiting enzyme 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) in fetal livers,16 which was supported by the increasing trend of LDL-C in fresh ET. Moreover, higher maternal E2 levels indicate a higher dose of exogenous gonadotropin, which was suggested to affect the next generation through epigenetic modification and oxidative stress status of oocytes, embryos, and their microenvironment.29–34 However, it should be noted that according to our data, the difference vanished in the later childhood phase. This suggests that adverse effects on neonates may be auto-adjusted with age. The strength of our present study was the long duration of follow-up, which extended the confirmation of the safety of COH and subsequent E2 elevation in the next generation, the large sample size, which provided preferably statistical power and allowed the subgroup analysis to confirm the robustness of the conclusions, and the high homogeneity of the participants. However, this study has several limitations. First, the ideal control should be offspring born after natural cycle ART. However, this was difficult to obtain because the natural cycle was most suitable for women with diminished ovarian reserve (DOR) or older age, which would be an important confounding factor. Second, the metabolic profiles examined in the present study were only general tests that could not sufficiently represent the metabolic status in detail. Metabolomic analysis should be confirmed in future studies.

Conclusion

In conclusion, the elevation of E2 levels after COH in mothers did not seem to affect their offspring in terms of metabolism, except for a temporary change in LDL-C levels during infancy. The long-term safety of COH in the next generation was favorable, at least during childhood. However, the trend of gradient increase in LDL-C suggests the need for close monitoring in the later life of those born after fresh ET.
  34 in total

1.  [Steroids and the prediction of ovulation].

Authors:  A J Audebert; J C Emperaire; A Ruffie
Journal:  Contracept Fertil Sex (Paris)       Date:  1984-02

Review 2.  Growth and function of the normal human placenta.

Authors:  Neil M Gude; Claire T Roberts; Bill Kalionis; Roger G King
Journal:  Thromb Res       Date:  2004       Impact factor: 3.944

Review 3.  A new era in ovulation induction.

Authors:  Hananel Holzer; Robert Casper; Togas Tulandi
Journal:  Fertil Steril       Date:  2006-02       Impact factor: 7.329

4.  Cardiovascular dysfunction in offspring of ovarian-hyperstimulated women and effects of estradiol and progesterone: a retrospective cohort study and proteomics analysis.

Authors:  Gu-Feng Xu; Jun-Yu Zhang; Hai-Tao Pan; Shen Tian; Miao-E Liu; Tian-Tian Yu; Jing-Yi Li; Wei-Wen Ying; Wei-Miao Yao; Xian-Hua Lin; Yuan Lv; Wen-Wen Su; Xiao-Qun Ye; Fang-Hong Zhang; Jie-Xue Pan; Ye Liu; Cheng-Liang Zhou; Dan Zhang; Xin-Mei Liu; Yi-Min Zhu; Jian-Zhong Sheng; He-Feng Huang
Journal:  J Clin Endocrinol Metab       Date:  2014-12       Impact factor: 5.958

Review 5.  Intergenerational programming of metabolic disease: evidence from human populations and experimental animal models.

Authors:  Mary-Elizabeth Patti
Journal:  Cell Mol Life Sci       Date:  2013-02-23       Impact factor: 9.261

6.  Supraphysiologic estradiol is an independent predictor of low birth weight in full-term singletons born after fresh embryo transfer.

Authors:  N Pereira; R T Elias; P J Christos; A C Petrini; K Hancock; J P Lekovich; Z Rosenwaks
Journal:  Hum Reprod       Date:  2017-07-01       Impact factor: 6.918

7.  Are ICSI adolescents at risk for increased adiposity?

Authors:  Florence Belva; Rebecca Painter; Maryse Bonduelle; Mathieu Roelants; Paul Devroey; Jean De Schepper
Journal:  Hum Reprod       Date:  2011-11-11       Impact factor: 6.918

8.  Effect of ovarian stimulation on plasma lipid and apolipoprotein concentrations in a population of infertile women undergoing IVF/embryo transfer.

Authors:  Patrizia Brizzi; Salvatore Dessole; Giancarlo Tonolo; Giampiero Capobianco; Luciana Milia; Loreta Puddu; Luciano G Nardo
Journal:  Reprod Biomed Online       Date:  2003-10       Impact factor: 3.828

9.  Body composition in children and adolescents born after in vitro fertilization or spontaneous conception.

Authors:  Manon Ceelen; Mirjam M van Weissenbruch; Jan C Roos; Jan P W Vermeiden; Flora E van Leeuwen; Henriette A Delemarre-van de Waal
Journal:  J Clin Endocrinol Metab       Date:  2007-06-26       Impact factor: 5.958

Review 10.  The origins of the developmental origins theory.

Authors:  D J P Barker
Journal:  J Intern Med       Date:  2007-05       Impact factor: 8.989

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