Skip to main content

Maternal hypercholesterolemia would increase the incidence of embryo aneuploidy in couples with recurrent implantation failure



The association of dyslipidemia with embryo development and pregnancy outcomes is largely unknown, especially in unexplained recurrent implantation failure (uRIF) patients. Here, this study aimed to explore the impact of abnormal blood lipid levels on embryo genetic status and pregnancy outcomes after preimplantation genetic testing for aneuploidy (PGT-A) from a clinical perspective.


This study retrospectively analyzed 502 patients diagnosed as uRIF. They were divided into four groups according to the levels of cholesterol and triglyceride: nonhyperlipidemia group (NonH group), simple hypercholesterolemia group (SHC group), simple hypertriglyceridemia group (SHC group) and mixed hyperlipidemia group (MixH group). At the same time, patients were divided into non-low HDL-C group and low HDL-C group according to their HDL-C level. The outcomes of embryos genetic testing and pregnancy outcomes after PGT-A was analyzed between groups. Binary logistic regression and/or generalized estimating equation (GEE) model were conducted to investigate the association of different types of dyslipidemia with embryonic aneuploidy rate and cumulative live-birth rate.


474 women who met the inclusion criteria were divided into four groups: NonH group (N = 349), SHC group (N = 55), SHT group (N = 52) and MixH group (N = 18). Compared with the NonH group, SHC group had a significantly increased rate of embryo aneuploidy [48.3% vs. 36.7%, P = 0.006; adjusted OR (95% confidence interval) = 1.52(1.04–2.22), P = 0.029], as well as a reduced number of good-quality embryos on day 5 or 6 [3.00 ± 2.29 vs. 3.74 ± 2.77, P = 0.033]. The SHC group showed a tendency of a lower cumulative live birth rate (47.0% vs. 40.0%), a lower incidence of good birth outcome (37.2% vs. 34.5%) and a higher risk of clinical pregnancy loss (11.1% vs. 17.9%), but did not reach statistical significance (P > 0.05). The incidences of obstetric or neonatal complications and other adverse events were similar in the four groups. Whether patients have low HDL-C did not differ in pregnancy outcomes.


We found that uRIF women with hypercholesterolemia had an increased proportion of aneuploid embryos and a reduced proportion of high-quality embryos, while different types of hyperlipidemia had no correlation with cumulative live birth rate as well as pregnancy and neonatal outcomes.


In recent years, more and more infertile couples have had the chance to deliver babies after treatment with vitro fertilization and embryo transfer [10]. However, 50–60% of couples are still unable to achieve a clinical pregnancy owing to implantation failures [32]. Recurrent implantation failure (RIF) is defined as implantation failures occurring after three or more embryo transfer cycles or after the transfer of four to six embryos at the cleavage stage with high scores or three or more blastocysts with high scores [14]. The etiology of RIF is complex and primarily based on the quality of gametes or embryos and their development potential, the endometrial microenvironment, autoimmune function, prethrombotic state, and other factors [6, 30]. After excluding patients with RIF with the abovementioned common etiologies, a subgroup of patients with RIF whose causes are unknown, defined as unexplained RIF (uRIF), remains. uRIF poses a significant challenge to the advancement of assisted reproductive technologies. Studies have shown that embryo aneuploidy is the major cause of miscarriage or implantation failure [18, 19]. Preimplantation genetic testing for aneuploidy (PGT-A) using next-generation sequencing (NGS) may enhance embryo selection and improve pregnancy outcomes [23]. Thus PGT-A combined with NGS has become one of the main therapeutic methods for couples experiencing uRIF.

Over the past 30 years, the blood cholesterol levels of the Chinese population have gradually increased and the prevalence of dyslipidemia in this population has also grown dramatically [40]. According to a 2012 Chinese national survey report, the prevalence of hypercholesterolemia, hypertriglyceridemia, and low high-density lipoprotein (HDL) cholesterol was 4.9%, 13.1%, and 33.9%, respectively. Moreover, the overall prevalence of dyslipidemia among Chinese adults was as high as 40.40% in 2012, significantly higher than that in 2002. There is growing evidence linking abnormal lipid metabolism to the pathogenesis of various diseases, including cancer and diabetes [24]. Lipid metabolism may be involved in the modulation of sex hormone levels [5, 17, 27]. Dyslipidemia may affect oocyte quality and female fertility, leading to reproductive failure through the induction of oxidative stress [38]. Serum-free cholesterol concentration in women can impact the timing of pregnancy [28] and body fat percentage has been identified as a key parameter determining the success of assisted reproductive technologies [2]. However, the association between the dysregulation of lipid metabolism and RIF remains largely unknown and no relevant study has assessed the impact of different types of dyslipidemia on the development of embryos and their genetic status or on the pregnancy outcomes of patients with RIF.

The bioinformatics analysis performed in our previous study revealed lipid metabolism dysregulation in the endometrium/decidua of patients with RIF, which may be associated with abnormal endometrial receptivity and aberrant immune infiltration [21]. It remains unclear whether abnormal lipid metabolism affects pregnancy outcomes by impairing embryonic development or interfering with the maternal uterine environment. It is crucial to understand how lipid metabolism affects human reproductive function to create tailored medicines that will aid in the efficient diagnosis and treatment of women with RIF [8].

Therefore, taking a clinical perspective, this retrospective study aimed to treat couples experiencing uRIF with PGT-A and further explore the effects of abnormal blood lipid levels on the genetic status of embryos and pregnancy outcomes after transferring euploid embryos.

Materials and methods


We followed the STROBE reporting guidelines specific to our study type. Abnormal blood lipid levels usually refer to elevated serum cholesterol and/or triglyceride levels, commonly known as hyperlipidemia. Dyslipidemia encompasses various lipid disorders, including low HDL-C syndrome. We collected anonymized data from couples experiencing uRIF who underwent their first PGT-A cycle at the Hospital for Reproductive Medicine affiliated with Shandong University between January 2017 and December 2021. RIF was diagnosed based on the 2018 Chinese expert consensus [14]: implantation failures after three or more transfer cycles of good-quality embryos or after transfers of four to six embryos at the cleavage stage with high scores or three or more blastocysts with high scores. uRIF means that no clear causes of implantation failure were found in these patients. The exclusion criteria were as follows: patients with known uterine abnormalities, such as Müllerian duct anomalies, an untreated uterine septum, submucous myoma of the uterus, adenomyosis or endometriosis, endometrial hyperplasia, intrauterine adhesions, or uterine scarring, chromosomal karyotype abnormalities in one of the couples with RIF; polycystic ovary syndrome; and endocrine disorders such as diabetes, immune diseases, coagulation abnormalities, the use of donated oocytes or sperm for pregnancy, or pregnancy contraindications.

The eligible women were divided into nonhyperlipidemia and hyperlipidemia groups based on their serum total cholesterol (TC) levels (≥ 5.2 mmol/L) and/or total triglyceride (TG) levels (≥ 1.7 mmol/L). Further subgroups were created as follows: non–hyperlipidemia group (NonH group; TC < 5.2 mmol/L and TG < 1.7 mmol/L), simple hypercholesterolemia group (SHC group; TC ≥ 5.2 mmol/L and TG < 1.7 mmol/L), simple hypertriglyceridemia group (SHT group; TC < 5.2 mmol/L and TG ≥ 1.7 mmol/L), and mixed hyperlipidemia group (MixH group; TC ≥ 5.2 mmol/L and TG ≥ 1.7 mmol/L). In addition, based on their HDL-C levels, the patients were divided into a non-low HDL-C group (HDL-C ≥ 1.0 mmol/L) and low HDL-C group (HDL-C < 1.0 mmol/L).

This study was approved by the ethics committee of the Hospital for Reproductive Medicine affiliated to Shandong University. Consent from women whose records were included in this study was not available because they were anonymous in our data retrieval system.


Different protocols for controlled ovarian hyperstimulation, such as the long, short, and antagonist protocols, were implemented based on the female ovarian reserve and previous ovarian responses. In the long protocol, 0.05–0.1 mg/d gonadotropin-releasing hormone agonist (GnRH-a) was administered during the midluteal phase of the previous cycle and gonadotropin (Gn) was administered once satisfactory pituitary desensitization had been achieved. In the short protocol, 0.05–0.1 mg/d GnRH-a was administered on the second or third day of the cycle and Gn was administered 2 days later until human chorionic gonadotropin (hCG). In the antagonist protocol, Gn was administered on the third day of the menstrual cycle, and GnRH-a was administered when the diameter of the dominant follicle reached 1.2–1.4 cm. hCG, GnRH-a, or a combination of both was used to trigger final oocyte maturation when the average diameter of at least two follicles reached ≥ 18 mm. Oocyte retrieval was performed 34–36 h later under the guidance of vaginal ultrasonography.

Intracytoplasmic sperm injection was employed in all IVF treatments, with all embryos cultured until the blastocyst stage. Good-quality blastocysts on day 5 or 6 of the embryo culture were selected using the Gardner blastocyst grading system [12], which are based on blastocyst expansion, inner cell quality, and trophoblastic ectodermal development, and subjected to biopsy. Blastocyst biopsy and NGS were performed following the methods reported by Yan et al. [36] and euploid embryos were selected for subsequent transfer.

Single frozen embryo transfers were performed following at least two menstrual cycles after oocyte retrieval. The endometrial preparation regimens included the natural ovulation cycle, ovulation induction cycle, and programmed cycle, as reported previously [13]. Luteal phase support involved dydrogesterone and vaginal progesterone gel administered on the endometrial transformation day and continued until 12 weeks of gestation. Serum hCG levels were measured 2 weeks after transfer to confirm conception. If conception had occurred, transvaginal ultrasonography was performed 3 weeks later to confirm clinical pregnancy, defined by the presence of an intrauterine gestational sac. Transvaginal ultrasonography was repeated at 11 weeks of gestation to confirm ongoing pregnancy. A follow-up was conducted to collect data on all live births or pregnancy terminations, extended until December 2022. All pregnancy and neonatal outcomes were recorded in detail.


The primary outcome was the embryo aneuploidy rate. PGT-A results were classified into four groups: balanced euploidy, aneuploidy, chromosome mosaic, and questionable outcomes. The secondary outcomes included the cumulative live birth rate after single oocyte retrieval in the first PGT-A cycle as well as the cumulative biochemical, clinical, and ongoing pregnancies; cumulative rates of biochemical and clinical pregnancy loss; birth weight; good birth outcomes [16, 26], pregnancy duration; the number of embryo transfers required to achieve live births; and the cumulative incidence of maternal and neonatal complications. A biochemical pregnancy is characterized by a serum hCG level of at least 25 mU/ml at 14 days after embryo transfer. Clinical pregnancy was confirmed by the presence of an intrauterine gestational sac, as observed using transvaginal ultrasound at 5 weeks after embryo transfer. Pregnancies exceeding 12 weeks were classified as ongoing pregnancies. Live birth refers to the delivery of a viable infant at ≥ 28 weeks of gestation. The cumulative live birth rate was calculated by dividing the number of women who delivered a live baby by the total number of women in that group.

Statistical analysis

The sample size was initially calculated based on the difference in embryo aneuploidy rates. According to our primary hypothesis, we initially planned to test a 10% difference in the embryo aneuploidy rate between the nonhyperlipidemia and hyperlipidemia groups. Considering our preliminarily calculated 35% rate of embryo aneuploidy tested by NGS in the nonhyperlipidemia group, at least 373 blastocysts should be included in each group to detect a 10% absolute elevation in the embryo aneuploidy rate, with 80% power and a 5% two-sided error rate. Normally distributed continuous characteristics are reported as means (± SD) and were compared using independent samples t-tests, whereas non-normally distributed continuous characteristics are reported as medians (interquartile ranges) and were compared using the Mann–Whitney U test. Categorical variables are reported as frequencies (percentages) and were compared using the Chi-square test. The embryo aneuploidy rate and pregnancy outcomes were compared between the NonH group and the SHC, SHG, or MixH groups separately and totally. Women who were lost to follow-up were considered as not having had a live birth. Binary logistic regression analysis and/or a generalized estimating equation model were conducted to adjust for potential confounding factors and to investigate the association of the different types of dyslipidemia with the embryonic aneuploidy rate and cumulative live birth rate. The potential confounders included age, BMI, and antral follicle count in both ovaries. A two-sided p-value of < 0.05 was considered statistically significant. All of the analyses were performed using SPSS software (version 26).


Patient and baseline characteristics

Initially, a total of 502 couples experiencing uRIF were screened (Additional file 1: Table S1). Among these couples, 26 did not undergo PGT-A treatment because they had no good-quality embryos available or had used donated sperm, among other unknown reasons; two other couples had no lipid information available and were thus excluded from the study. Finally, a total of 474 women were included in this study (Fig. 1) and categorized into the nonhyperlipidemia group (N = 349; 1142 blastocysts) and hyperlipidemia group (N = 125; 376 blastocysts) which can be subdivided into three groups (SHC group [N = 55] with 149 blastocysts; SHT group [N = 52] with 163 blastocysts; and MixH group [N = 18] with 64 blastocysts).

Fig. 1
figure 1

Flow diagram. uRIF, unexplained repeated planting failure; PGT-A, preimplantation genetic testing for aneuploidy

Compared with the NonH group, the SHT group had a higher body mass index (BMI) (25.37 ± 3.87 vs. 23.10 ± 3.03; p = 0.000) and a slightly lower serum follicle-stimulating hormone level (6.40 ± 2.04 vs. 7.34 ± 2.67; p = 0.016). The other baseline characteristics were comparable in the four groups (Table 1).

Table 1 Characteristics of the patients at baseline

Outcomes of embryo culturing and genetic testing

No significant difference was observed in the embryo aneuploidy rates between the nonhyperlipidemia and hyperlipidemia groups (36.7% vs. 40.4%; p = 0.195). Given that hypercholesterolemia and hypertriglyceridemia may have different impacts on oocyte and embryo development, we focused on assessing the specific variations within the four subgroups.

The results of controlled ovarian hyperstimulation, embryo development, and genetic testing are presented in Table 2. We observed a significantly increased percentage of embryo aneuploidy in the SHC group (48.3% vs. 36.7%; p = 0.006) (Fig. 2). In contrast, the percentage of euploidy decreased, but the difference was not statistically significant (38.3% vs. 45.3%; p = 0.105). The number of good-quality embryos obtained on day 5 or 6 was smaller in the SHC group than in the NonH group (3.00 ± 2.29 vs. 3.74 ± 2.77; p = 0.033). No significant difference was noted in the genetic status of embryos between the NonH and SHT groups or the MixH group. The proportion of women with no euploid embryos for transfer did not differ significantly between each case group and the NonH group.

Table 2 Outcomes of controlled ovarian hyperstimulation and embryos
Fig. 2
figure 2

Embryo genetics status. NonH, nonhyperlipidemia; SHC, simple hypercholesterolemia; SHT, simple hypertriglyceridemia; MixH, mixed hyperlipidemia

Pregnancy outcomes and the incidence of pregnancy and neonatal complications

The cumulative live birth rates were 47.0% and 44.0% in the nonhyperlipidemia and hyperlipidemia groups, respectively (p = 0.565). As shown in Table 3, the cumulative live birth rates and other pregnancy outcomes following the transfer of euploid embryos were also similar in the SHC, SHG, and MixH groups compared with those in the NonH group (p > 0.05). However, the SHC group showed a tendency toward a lower cumulative live birth rate (47.0% vs. 40.0%), a lower incidence of good birth outcomes (37.2% vs. 34.5%), and a higher risk of clinical pregnancy loss (11.1% vs. 17.9%), although the differences were not statistically significant. The average number of embryos transferred that resulted in live births was 1.27 ± 0.59 in the nonhyperlipidemia group and 1.09 ± 0.29 in the SHC group (p = 0.023). In terms of pregnancy and neonatal complications, the incidence of gestational hypertension, diabetes, and other obstetric or perinatal complications was similar in the four groups (Table 4). Gestational hypertension occurred more frequently in the SHC (12.0%) and SHG (14.3%) groups than in the NonH group (6.0%), but the differences were not statistically significant.

Table 3 Cumulative pregnancy outcomes among different groups
Table 4 The incidence of pregnancy and neonatal complications

The associations between hyperlipidemia and the rates of embryo aneuploidy as well as cumulative live births are shown in Table 5 and Table 6. The generalized estimating equation model showed that simple hypercholesterolemia displayed a significant positive association with the embryo aneuploidy rate after adjusting for the effects of age, BMI, and antral follicle counts in both ovaries (crude OR [95% CI]: 1.68 [1.12–2.52], p = 0.013; adjusted OR [95% CI]: 1.52[1.04–2.22], p = 0.029). In addition, the logistic regression results showed no correlation between the different types of hyperlipidemia and the cumulative live birth rates (crude OR [95% CI]: 0.75[0.42–1.34], p = 0.335; adjusted OR [95% CI]: 0.85[0.46–1.57], p = 0.599).

Table 5 The associations between hypercholesterolemia and embryo aneuploidy
Table 6 The associations between hypercholesterolemia and cumulative live-birth rate

Results for the genetic status of embryos and pregnancy outcomes in patients with low HDL-C syndrome

The patients were simultaneously divided into the non–low HDL-C group (N = 422) and low HDL-C group (N = 49) based on their HDL levels. The baseline characteristics were similar between the two groups (Additional file 2: Table S2). In addition, no statistically significant differences were noted between the two groups in the rates of embryo euploidy, aneuploidy, and mosaicism (Additional file 2: Table S3); pregnancy outcomes (Additional file 2: Table S4); and maternal and newborn complications (Additional file 2: Table S5).


This study represents the first attempt to assess the impact of varying blood lipid levels on pregnancy outcomes in a population experiencing RIF. In this retrospective study of 474 patients experiencing uRIF, we found that women with hypercholesterolemia exhibited an increased proportion of aneuploid embryos and a reduced proportion of high-quality embryos; in contrast, the different types of hyperlipidemia were not associated with the cumulative live birth rates and pregnancy and neonatal outcomes.

As an essential component of various biological membranes in living organisms, cholesterol plays a pivotal role in multiple biological processes, including cell proliferation and division. Cholesterol has been found to have implications for female reproduction in various species [31]. First, cholesterol governs membrane fluidity; therefore, all proliferating cells require substantial amounts of cholesterol for membrane synthesis [33, 34]. Furthermore, cholesterol serves as an indispensable substrate for steroid synthesis in ovarian follicular cells and is widely considered essential for female fertility [29]. A recent study provided evidence suggesting that maintaining oocyte cholesterol homeostasis is relevant for ensuring the developmental potential of eggs [1]. The cholesterol content within oocytes appears to modulate processes such as maturation, fertilization, activation, and embryo development [3, 35]. Evidence from human in vitro fertilization (IVF) studies suggests that an abnormal maternal serum lipid profile is associated with poorer oocyte quality, compromised ovarian function, and impaired embryo development, all of which cause a potential reduction in fecundity [22]. Furthermore, research has shown that obese women, who often display abnormal serum lipid levels, produce a smaller proportion of good-quality embryos on day 5 and exhibit abnormal expression of genes related to oocyte quality, including PGR and PTX3 [25]. These findings corroborate our observations regarding the association between dyslipidemia and embryo quality. Yesilaltay et al. [35] found that excessive cholesterol exposure could lead mouse eggs to behave as if they had already been fertilized, thereby disrupting the normal synchronization between fertilization and meiosis completion, resulting in dysfunctional eggs. This may be one of the reasons for the increased aneuploidy rate of embryos in women with elevated cholesterol levels, although further research is necessary to confirm this hypothesis.

Embryo quality and endometrial receptivity are the main factors affecting embryo implantation [6, 30]. PGT-A involves selecting euploid embryos for implantation after in vitro fertilization to effectively reduce the risk of an unfavorable pregnancy. Analyzing pregnancy outcomes in patients experiencing RIF who undergo PGT-A treatment can help distinguish the impact of embryos from that of the maternal endometrium, avoiding potential interference from aneuploid embryos as a hybrid factor affecting the conclusions. In addition, the cumulative live birth rate after oocyte retrieval is considered the most crucial patient-centered outcome measure [9, 36]. We found no significant differences in the cumulative live birth rates after transferring euploid embryos between the normal and hyperlipidemia groups. However, we observed that women with hypercholesterolemia exhibited a slightly lower cumulative live birth rate and a slightly higher risk of clinical pregnancy loss; however, these differences were not statistically significant, probably because of the small sample size in the hypercholesterolemia group. Horn et al. [15] reported that the incidence of hypercholesterolemia was higher in women who experienced early miscarriages (< 12 weeks) than in those who had a single live birth. They also showed that hypercholesterolemia was associated with late miscarriages (12–19 weeks). In addition, the clinical parameters and morphological characteristics of the endometrium have been found to be altered in women with abnormal lipid metabolism [20]. Reports have suggested that obesity, which is often accompanied by hypercholesterolemia, negatively impacts endometrial receptivity by delaying the implantation window [4]. Therefore, hypercholesterolemia may increase the risk of pregnancy loss by affecting endometrial receptivity, although further investigations through a clinical study with larger sample sizes and mechanistic studies are warranted to explore the underlying association between hypercholesterolemia and endometrial receptivity.

Emerging evidence suggests that hyperlipidemia is associated with a high incidence of maternal pregnancy complications. Research has reported that the increase in TC levels over time is closely related to the occurrence of diabetes during pregnancy, whereas the increases in TG and low-density lipoprotein cholesterol levels over time are closely related to diabetes and cholestasis during pregnancy [39]. Moreover, oxidative stress caused by disturbances in lipid status may play a role in the onset of preeclampsia in high-risk pregnancies [7]. Our findings indicate that women with hypercholesterolemia and hypertriglyceridemia exhibit an increased risk of gestational hypertension, although this increase may not be statistically significant.

One of the strengths of this study is that we investigated the effects of different types of hyperlipidemia on reproductive outcomes by scientifically grouping blood lipid levels. Second, we included a population experiencing uRIF undergoing PGT-A treatment as the subject, which helped us to distinguish the separate effects of hyperlipidemia on the genetic status of embryos and the maternal endometrium. To the best of our knowledge, this is the first time that such an approach has been employed. However, our research also has some limitations. First, this was a retrospective cohort study with inherent biases. For example, the diversity of the controlled ovarian hyperstimulation protocols may represent different ovarian responses and population heterogeneity, which could have a confounding impact on reproductive outcomes. In addition, the sample size was small, especially in the SHC and SHG groups, making it infeasible to perform subgroup analyses, such as those based on age. Finally, the definition of RIF used in the study was based on the consensus of Chinese experts [14] and, currently, more researchers are beginning to apply the definition criteria newly proposed by ESHRE in 2023 [11]. Thus, the results may not be generalizable to women diagnosed using other criteria.

In conclusion, we found that hypercholesterolemia, as opposed to hypertriglyceridemia, increased the incidence of embryo aneuploidy and reduced the number of good-quality embryos. However, no association was observed between hypercholesterolemia and the cumulative pregnancy outcomes or maternal and neonatal complications. A better understanding of the roles and mechanisms of lipid molecules in regulating the reproductive process will provide valuable insights for developing more effective interventions to address implantation failure [37]. Our findings underscore the negative impacts of dyslipidemia on reproductive outcomes, particularly during oogenesis and embryo development. This suggests that women with hypercholesterolemia should consider taking measures before pregnancy. Further prospective cohort studies are necessary to validate our findings and investigate the underlying mechanisms associated with these observations.

Availability of data and materials

Readers can obtain relevant data information through supplementary documents.


  1. Arias A, Quiroz A, Santander N, Morselli E, Busso D. Implications of high-density cholesterol metabolism for oocyte biology and female fertility. Front Cell Dev Biol. 2022;10:941539.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Arora H, Collazo I, Eisermann J, Hendon N, Kuchakulla M, Khodamoradi K, Bidhan J, Dullea A, Zucker I, Khosravizadeh Z, et al. Association between mitoscore, BMI, and body fat percentage as a predictive marker for the outcome of in-vitro fertilization (IVF). Cureus. 2022;14:e27367.

    PubMed  PubMed Central  Google Scholar 

  3. Buschiazzo J, Ialy-Radio C, Auer J, Wolf JP, Serres C, Lefevre B, Ziyyat A. Cholesterol depletion disorganizes oocyte membrane rafts altering mouse fertilization. PLoS ONE. 2013;8:e62919.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Bellver J, Marín C, Lathi RB, Murugappan G, Labarta E, Vidal C. Obesity affects endometrial receptivity by displacing the window of implantation. Reprod Sci. 2021;28:3171–80.

    Article  CAS  PubMed  Google Scholar 

  5. Bulun SE. Aromatase and estrogen receptor alpha deficiency. Fertil Steril. 2014;101:323–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cao H, You D, Yuan M, Xi M. Hysteroscopy after repeated implantation failure of assisted reproductive technology: a meta-analysis. J Obstet Gynaecol Res. 2018;44:365–73.

    Article  PubMed  Google Scholar 

  7. Cabunac P, Karadzov Orlic N, Ardalic D, Banjac G, Ivanisevic J, Janac J, Vekic J, Zeljkovic A, Mihajlovic M, Rajovic N, et al. Unraveling the role of oxidative stress and lipid status parameters in the onset of preeclampsia. Hypertens Pregnancy. 2021;40:162–70.

    Article  CAS  PubMed  Google Scholar 

  8. DeAngelis AM, Roy-O’Reilly M, Rodriguez A. Genetic alterations affecting cholesterol metabolism and human fertility. Biol Reprod. 2014;91:117.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Duffy JMN, Bhattacharya S, Bhattacharya S, Bofill M, Collura B, Curtis C, Evera JLH, Giudice LC, Farquharson RG, Franik S, et al. Standardizing definitions and reporting guidelines for the infertility core outcome set: an international consensus development study. Fertil Steril. 2021;115:201–12.

    Article  CAS  PubMed  Google Scholar 

  10. ESHRE, Calhaz-Jorge C, de Geyter C, Kupka MS, de Mouzon J, Erb K, Mocanu E, Motrenko T, Scaravelli G, et al. Assisted reproductive technology in Europe, 2012: results generated from European registers by ESHRE. Hum Reprod. 2016;31:1638–52.

    Article  Google Scholar 

  11. ESHRE Working Group on Recurrent Implantation Failure, Cimadomo D, de Los Santos MJ, Griesinger G, Lainas G, Clef NL, McLernon DJ, Montjean D, Toth B, Vermeulen N, Macklon N. ESHRE good practice recommendations on recurrent implantation failure. Hum Reprod Open. 2023;2023(3):hoad023.

    Article  PubMed Central  Google Scholar 

  12. Gardner DK. In vitro culture of human blastocyst. In: Jansen R, Mortimer D, editors. Toward reproductive certainty: infertility and genetics beyond 1999. Carnforth: Parthenon Press; 1999. p. 378–88.

    Google Scholar 

  13. Ghobara T, Gelbaya TA, Ayeleke RO. Cycle regimens for frozen-thawed embryo transfer. Cochrane Database Syst Rev. 2017;7:CD003414.

    PubMed  Google Scholar 

  14. Huang HF, Qiao J, Liu JY. Consensus on preimplantation genetic diagnosis/screening. Chin J Med Genet. 2018;35:151–5.

    Article  Google Scholar 

  15. Horn J, Tanz LJ, Stuart JJ, Markovitz AR, Skurnik G, Rimm EB, Missmer SA, Rich-Edwards JW. Early or late pregnancy loss and development of clinical cardiovascular disease risk factors: a prospective cohort study. BJOG. 2019;126:33–42.

    Article  CAS  PubMed  Google Scholar 

  16. Joshi N, Kissin D, Anderson JE, Session D, Macaluso M, Jamieson DJ. Trends and correlates of good perinatal outcomes in assisted reproductive technology. Obstet Gynecol. 2012;120:843–51.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Kang HJ, Imperato-McGinley J, Zhu YS, Rosenwaks Z. The effect of 5alpha-reductase-2 deficiency on human fertility. Fertil Steril. 2014;101:310–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Kohn TP, Kohn JR, Darilek S, Ramasamy R, Lipshultz L. Genetic counseling for men with recurrent pregnancy loss or recurrent implantation failure due to abnormal sperm chromosomal aneuploidy. J Assist Reprod Genet. 2016;33:571–6.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lee E, Illingworth P, Wilton L, Chambers GM. The clinical effectiveness of preimplantation genetic diagnosis for aneuploidy in all 24 chromosomes (PGD-A): systematic review. Hum Reprod. 2015;30:473–83.

    Article  PubMed  Google Scholar 

  20. Lisovskaya TV, Perepletina TA, Sevost’ Yanova OY, Mayasina EN, Salimov DF, Osipenko AA. Clinical and laboratory parameters and morphological characteristics of the endometrium in women with impaired fat metabolism and failed IVF attempts. Gynecol Endocrinol. 2019;35:41–4.

    Article  CAS  PubMed  Google Scholar 

  21. Liu Y, Yao Y, Sun H, Zhao J, Li H, Wang S, Zhang T, Meng M, Zhou S. Lipid metabolism-related genes as biomarkers and therapeutic targets reveal endometrial receptivity and immune microenvironment in women with reproductive dysfunction. J Assist Reprod Genet. 2022;39:2179–90.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Miller WL, Auchus RJ. The molecular biology, biochemistry, and physiology of human steroidogenesis and its disorders. Endocr Rev. 2011;32:81–151.

    Article  CAS  PubMed  Google Scholar 

  23. Practice Committees of the American Society for Reproductive Medicine and the Society for Assisted Reproductive Technology. The use of preimplantation genetic testing for aneuploidy (PGT-A): a committee opinion. Fertil Steril. 2018;109:429–36.

    Article  Google Scholar 

  24. Pinola P, Lashen H, Bloigu A, Puukka K, Ulmanen M, Ruokonen A, Martikainen H, Pouta A, Franks S, Hartikainen A-L, et al. Menstrual disorders in adolescence: a marker for hyperandrogenaemia and increased metabolic risks in later life? Finnish general population-based birth cohort study. Hum Reprod. 2012;27:3279–86.

    Article  CAS  PubMed  Google Scholar 

  25. Papler TB, Bokal EV, Zmrzljak UP, Stimpfel M, Laganà AS, Ghezzi F, et al. PGR and PTX3 gene expression in cumulus cells from obese and normal weighting women after administration of long-acting recombinant follicle-stimulating hormone for controlled ovarian stimulation. Arch Gynecol Obstet. 2019;299:863–71.

    Article  Google Scholar 

  26. Roeca C, Johnson R, Carlson N, Polotsky AJ. Preimplantation genetic testing and chances of a healthy live birth amongst recipients of fresh donor oocytes in the United States. J Assist Reprod Genet. 2020;37:2283–92.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rosenwaks Z, Adashi EY. Introduction. Fertility in the face of genetically determined steroidogenic dysfunction. Fertil Steril. 2014;101:299–300.

    Article  PubMed  Google Scholar 

  28. Schisterman EF, Mumford SL, Browne RW, Barr DB, Chen Z, Louis GM. Lipid concentrations and couple fecundity: the LIFE study. J Clin Endocrinol Metab. 2014;99:2786–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Stouffer RL, Xu F, Duffy DM. Molecular control of ovulation and luteinization in the primate follicle. Front Biosci. 2007;12:297–307.

    Article  CAS  PubMed  Google Scholar 

  30. Valdes CT, Schutt A, Simon C. Implantation failure of endometrial origin: it is not pathology, but our failure to synchronize the developing embryo with a receptive endometrium. Fertil Steril. 2017;108:15–8.

    Article  PubMed  Google Scholar 

  31. van Montfoort AP, Plosch T, Hoek A, Tietge UJ. Impact of maternal cholesterol metabolism on ovarian follicle development and fertility. J Reprod Immunol. 2014;104–105:32–6.

    Article  PubMed  Google Scholar 

  32. Wei D, Liu JY, Sun Y, Shi Y, Zhang B, Liu JQ, Tan J, Liang X, Cao Y, Wang Z, et al. Frozen versus fresh single blastocyst transfer in ovulatory women: a multicentre, randomised controlled trial. Lancet. 2019;393:1310–8.

    Article  PubMed  Google Scholar 

  33. Woollett LA. Where does fetal and embryonic cholesterol originate and what does it do? Annu Rev Nutr. 2008;28:97–114.

    Article  CAS  PubMed  Google Scholar 

  34. Willnow TE, Hammes A, Eaton S. Lipoproteins and their receptors in embryonic development: more than cholesterol clearance. Development. 2007;134:3239–49.

    Article  CAS  PubMed  Google Scholar 

  35. Yesilaltay A, Dokshin GA, Busso D, Wang L, Galiani D, Chavarria T, Vasile E, Quilaqueo L, Orellana J, Walzer D, et al. Excess cholesterol induces mouse egg activation and may cause female infertility. Proc Natl Acad Sci U S A. 2014;111:E4972-4980.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Yan J, Qin Y, Zhao H, Sun Y, Gong F, Li R, Sun X, Ling X, Li H, Hao C, et al. Live birth with or without preimplantation genetic testing for aneuploidy. N Engl J Med. 2021;385:2047–58.

    Article  CAS  PubMed  Google Scholar 

  37. Yang T, Zhao J, Liu F, Li Y. Lipid metabolism and endometrial receptivity. Hum Reprod Update. 2022;28:858–89.

    Article  CAS  PubMed  Google Scholar 

  38. Yang X, Wu LL, Chura LR, Liang X, Lane M, Norman RJ, Rebecca LR. Exposure to lipid-rich follicular fluid is associated with endoplasmic reticulum stress and impaired oocyte maturation in cumulus-oocyte complexes. Fertil Steril. 2012;97:1438–43.

    Article  CAS  PubMed  Google Scholar 

  39. Yu X, Gao J, Huang Y, Zou Y, Huang Y, Du T, Zhang J. Effect of the increase rate of blood lipid concentration during pregnancy on the adverse pregnancy outcomes: a cohort study of 1051 singleton pregnancy. Gynecol Endocrinol. 2022;38:1125–8.

    Article  CAS  PubMed  Google Scholar 

  40. Zhu J, Gao R, Zhao P, Lu G, Zhao D, Li J. Guidelines for the prevention and treatment of dyslipidemia in Chinese adults (revised in 2016). Chin Circul J. 2016;31:937–53.

    Article  Google Scholar 

Download references


This study had no acknowledgment.


This study was funded by Shandong Provincial Key Research and Development Program (2021LCZX02), National Key Research and Development Program (2021YFC2700604), General Program of National Natural Science Foundation of China (82171648), Taishan Scholars Program for Young Experts of Shandong Province (tsqn201812154), Youth Program of National Natural Science Foundation of China (82101752) and Youth Program of Shandong Provincial Natural Science Foundation of China (ZR2021QH075) for data fee (scientific research informed consent, etc.), paper modification and publication fee, etc.

Author information

Authors and Affiliations



JY participated in study design. YL, TN, XL, TZ, QZ and WC participated in data collection and analysis. YL, TN, QZ and JY participated in manuscript drafting and critical discussion.

Corresponding author

Correspondence to Junhao Yan.

Ethics declarations

Ethics approval and consent to participate

The publication of the article was approved by the Ethics Committee.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Population information.

Additional file 2: Table S2.

Characteristics of the patients at baseline. Table S3. Outcomes of controlled ovarian hyperstimulation. Table S4. Cumulative live-birth rate and secondary outcomes. Table S5. Adverse events

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Y., Ni, T., Zhao, Q. et al. Maternal hypercholesterolemia would increase the incidence of embryo aneuploidy in couples with recurrent implantation failure. Eur J Med Res 28, 534 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: