Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol., 09 February 2023
Sec. Reproduction
This article is part of the Research Topic Systemic Regulation of Organ Homeostasis and Implications of Hormones and Immunity, Volume II View all 17 articles

The homeostasis model assessment of insulin resistance is a judgment criterion for metformin pre-treatment before IVF/ICSI and embryo transfer cycles in patients with polycystic ovarian syndrome

Rui Gao,&#x;Rui Gao1,2†Lang Qin,Lang Qin1,2Zhengyu Li,*Zhengyu Li2,3*Wenjiao Min*Wenjiao Min4*
  • 1The Reproductive Medical Center, Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
  • 2Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
  • 3Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
  • 4Psychosomatic Department, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China

Purpose: The aim of this study was to explore the value of the homeostasis model assessment of IR (HOMA-IR) as a judgment criterion for metformin pre-treatment before in vitro fertilization/intracellular sperm injection (IVF/ICSI) and embryo transfer (ET) for polycystic ovarian syndrome (PCOS) patients.

Materials and methods: The clinical and laboratory information of PCOS patients who received IVF/ICSI-ET from January 2017 to September 2021 was retrospectively analyzed. We compared the clinical pregnancy rate (primary outcome) and controlled ovarian stimulation (COS)-related parameters (secondary outcomes) between patients with and without metformin pre-treatment for all PCOS patients not grouped by HOMA-IR, PCOS patients with HOMA-IR < 2.71, and PCOS patients with HOMA-IR ≥ 2.71.

Results: A total of 969 PCOS patients who received the GnRH-antagonist protocol were included in this study. For all PCOS patients, the metformin group showed comparable clinical pregnancy rates in fresh ET cycles and frozen ET cycles compared with the control group (55.9% vs. 57.1%, p = 0.821 and 63.8% vs. 60.9%, p = 0.497). For PCOS patients with HOMA-IR < 2.71, the clinical pregnancy rates in both fresh ET cycles and frozen ET cycles were statistically similar between the two groups (61.5% vs. 57.6%, p = 0.658 and 70.6% vs. 66.7%, p = 0.535). For PCOS patients with HOMA-IR ≥ 2.71, the clinical pregnancy rate in fresh ET cycles was comparable between the two groups (51.5% vs. 56.3, p = 0.590), but it was statistically higher in the metformin group than in the control group in frozen ET cycles (57.1% vs. 40.0%, p = 0.023). The metformin group had less oocytes retrieved, a lower cleaved oocyte rate, a lower available D3 embryo rate, a lower blastocyst formation rate, and a lower available blastocyst rate than the control group.

Conclusion: HOMA-IR is a judgment criterion for metformin pre-treatment before IVF/ICSI-ET in patients with PCOS. Metformin pre-treatment could be added for PCOS patients with HOMA-IR ≥ 2.71 during frozen IVF/ICSI-ET cycles to improve the clinical pregnancy rate.

1 Introduction

Polycystic ovary syndrome (PCOS) is an endocrinological problem that affects about 5%–10% of women of childbearing age all over the world (1). Oligo-anovulation, clinical and/or biochemical hyperandrogenism, and polycystic ovary morphology (PCOM) on ultrasonography are the most important clinical manifestations of PCOS (2). It was reported that approximately 80% of anovulation infertility was caused by PCOS (3). In vitro fertilization/intracellular sperm injection (IVF/ICSI)–embryo transfer (ET) is a third-line method that helps PCOS patients who are unable to conceive after adjusting lifestyle and medication treatment (3). However, performing IVF/ICSI-ET for PCOS patients is full of challenge because of the poorer-quality embryos, the higher risk of ovarian hyper-stimulation syndrome (OHSS), and the lower clinical pregnancy rate compared with healthy women (4).

IR is defined as reduced insulin sensitivity, and an increased amount of insulin is needed to realize its normal function; the hyperinsulinemic–euglycemic clamp (HEC) technique was considered to be the gold standard for measuring insulin sensitivity (5). As previously reported, the incidence of IR among PCOS patients varies from 50% to 70% in different regions (6). IR was reported as an important risk factor of failure of IVF/ICSI-ET for PCOS patients, because it may impair the oocyte development/maturation and reduce endometrial receptivity (7). The homeostasis model assessment of IR (HOMA-IR) is widely used to assess the degree of IR (8). Metformin is a common insulin-sensitizing agent, but the application of metformin on PCOS patients undergoing IVF/ICSI-ET is full of controversy. A systematic review and meta-analysis showed that metformin may reduce live birth rate during the GnRH-antagonist protocol, but its effect on the clinical pregnancy rate was uncertain (9). At present, the studies focusing on the association between metformin pre-treatment and IVF/ICSI-ET outcomes were heterogeneous. In particular, there are a few studies that are focused on the influence of HOMA-IR on outcomes of metformin pre-treatment in PCOS patients undergoing IVF/ICSI-ET.

We speculated that a different HOMA-IR reflects the different efficacies of metformin pre-treatment on IVF/ICSI-ET among PCOS patients. To confirm this conjecture, we performed this retrospective study to explore the value of HOMA-IR as a judgment criterion for metformin pre-treatment before IVF/ICSI-ET cycles in patients with PCOS.

2 Materials and methods

2.1 Participants and study design

A single-center retrospective cohort study was performed at West China Second University Hospital, Sichuan University from January 2017 to September 2021. The study was approved by the Ethics Committee of West China Second University Hospital. PCOS patients who received IVF/ICSI-ET because of anovulation infertility or male infertility were included in this study. Sociodemographic information, clinical manifestations, laboratory indicators, and treatment information of these PCOS patients were collected from the electronic medical record management system. The diagnosis of PCOS was based on the Rotterdam criteria, which required that at least two of the following three criteria were satisfied: oligomenorrhea or anovulation, clinical or biochemical hyperandrogenism, and polycystic ovaries on ultrasonography (defined as either an ovary with antral follicle count ≥ 12 or an ovarian volume ≥ 10 cm3); other causes of hyperandrogenism and ovulation dysfunction were excluded (2).

The exclusion criteria were as follows: (1) incomplete sociodemographic information, clinical manifestations, laboratory indicators, or treatment information; (2) patients with other factors of infertility such as Asherman’s syndrome, submucosal fibroids of the uterus, and other uterine malformations; (3) patients with other endocrine diseases such as thyroid diseases, diabetes mellitus, and hyperprolactinemia; and (4) patients with a history of recurrent spontaneous abortion. All included patients were checked again for their metformin pre-treatment protocols. Patients who received a metformin pre-treatment form at least 3 months before their IVF/ICSI-ET cycles constituted the metformin group; patients without metformin pre-treatment made up the control group, and other patients were excluded. The subgroup analyses were based on HOMA-IR < 2.71 and HOMA-IR ≥ 2.71 according to a previous study, which reported that HOMA-IR ≥ 2.71 is a significant risk factor of adverse pregnancy outcomes for women who received fresh IVF/ICSI-ET (10).

2.2 Controlled ovarian stimulation and embryo transfer

All included PCOS patients underwent a GnRH-antagonist protocol for controlled ovarian stimulation (COS); they were started on intramuscular injections of recombinant FSH (Injection Gonal-F, Merck Serono Specialties, Italy) or human menopausal gonadotropin (hMG, Lizhu Pharmaceutical Trading, China) from the second day of their menstrual cycle. The starting dose was between 150 IU/day and 225 IU/day. A GnRH antagonist (Injection Cetrotide acetate, Aeterna Zentaris, Canada) was administered at a dose of 0.25 mg/day from the sixth day of the menstrual cycle until the ovulation trigger day. The cycles were cancelled in patients with no follicle greater than 10 mm after 10 days of recombinant FSH/hMG stimulation. For all PCOS patients, when at least two follicles are ≥18 mm or three follicles ≥17 mm, the final stage of triggering ovulation was performed using human chorionic gonadotropin (hCG; Lizhu Pharmaceutical Trading, China) at doses from 8,000 IU to 10,000 IU. For patients at a high risk for ovarian hyper-stimulation syndrome (OHSS), 4,000 IU to 5,000 IU of hCG was used to trigger ovulation.

Oocyte retrieval was performed 36–38 h after triggering ovulation. Oocyte assessment was performed by the standard morphology criteria, and nuclear maturity assessment was performed. Conventional IVF or ICSI was performed depending on semen parameters. For patients who received fresh ET cycles, ET was performed 3 or 5 days after oocyte retrieval according to the type of embryo; other embryos were all frozen. For patients who received their first frozen ET cycles, artificial menstrual cycle was established by the exogenous addition of estradiol and ET was performed 3 or 5 days after the addition of progesterone. All patients were given luteal phase support via the intramuscular injection of progesterone (100 mg/day) or vaginal progesterone gel (90 mg/day) plus oral dydrogesterone (20 mg/day). Two weeks after ET, pregnancy was assessed by serum β-hCG levels and confirmed by transvaginal ultrasound 4 weeks after ET. Serum β-hCG levels > 50 IU/L were regarded as biochemical pregnancy and the presence of the gestational sac was regarded as clinical pregnancy.

2.3 Information collection and outcomes

Fasting plasma glucose (FPG) and fasting insulin (FINS) measured before metformin treatment were collected, and HOMA-IR was calculated with the following formula: HOMA-IR = FGP (mmol/L) FINS (mIU/L)/22.5. We summed up the basic information of patients, including their fertility history, clinical manifestations of PCOS, age, body mass index (BMI), and history of oral contraceptives (OC) treatment. BMI was calculated by the body weight in kilograms divided by the square of the height in meters (kg/m2). Venous blood samples were taken 2–4 days during a spontaneous menstrual cycle or an independent cycle phase in the presence of amenorrhea before metformin pre-treatment to detect anti-Müllerian hormone (AMH), dehydroepiandrosterone (DHEAS), androstenedione (ASD), follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), progesterone (P), testosterone (T), and sex hormone binding globulin (SHBG) levels. At the same time, homocysteine (HCY), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were also assessed after an overnight fast of at least 10 h.

COS-related parameters were also collected, including OHSS rate, the type of gonadotropin (Gn), the starting dosage of Gn, the total number of Gn days, and the total Gn dosage. Serum LH, E2, and P levels were detected and single endometrial thickness (ET) was measured by ultrasonography on the trigger day. The number of follicles ≥14 mm on the trigger day and the number of oocytes retrieved were also collected. Embryo grading was done by a standard morphology assessment according to modified Veeck’s scoring. The IVF/ICSI fertilization rate, cleavage rate, available D3 embryo rate, high-quality D3 embryo rate, blastocyst formation rate, available blastocyst rate, and high-quality blastocyst rate were calculated and were selected as secondary outcomes of this study. Clinical pregnancy rate was defined as the presence of a gestational sac per ET cycle and was selected as the primary outcome of this study.

2.4 Statistical analysis

We used a Kolmogorov–Smirnov test to estimate whether data were normally distributed. Normally distributed continuous variables were presented as means ± standard deviations (SDs) and were analyzed by t-test. Non-normally distributed continuous variables were presented as median (25th–75th percentiles) and were analyzed by the Kruskal–Wallis test. Categorical measurements were presented as a percentage and were compared by chi-squared test; if numbers were less than 5 in at least 20% of the cells, Fisher’s exact test was performed. The adjusted difference in the clinical pregnancy rate between the two groups was expressed as odds ratio (OR), 95% confidence intervals (CIs), and adjusted p-value. p-value < 0.05 was regarded as statistically different. All the statistical analyses were performed by SPSS, version 26.0 (SPSS Inc., Chicago, IL, UPL).

3 Results

3.1 Basic information of PCOS patients

PCOS patients who entered IVF/ICSI-ET cycles because of anovulation infertility or male infertility were searched in the electronic medical record management system. After exclusion, 969 PCOS patients were included in this study. Among them, 366 patients were in the metformin group and 603 patients were in the control group. There was a statistical difference in BMI and history of OC treatment between the two groups (p < 0.05). For patients who received metformin pre-treatment, the HOMA-IR of 171 patients (46.7%) was <2.71 and that of 195 patients (53.3%) was ≥2.71. For patients in the control group, the HOMA-IR of 435 patients (72.1%) was <2.71 and that of 168 patients (27.9%) was ≥2.71.

Compared with the control group, the metformin group had lower levels of AMH, basal P, basal FSH, basal LH, and SHBG, and higher levels of HCY and TG. In addition, the metformin group had a higher total dosage of Gn, a shorter duration of Gn, and lower E2 levels on the trigger day than the control group. A detailed information of PCOS patients in the metformin group and control group is shown in Table 1. For PCOS patients with HOMA-IR < 2.71, the metformin group had a higher age, BMI, duration of infertility, FAI, HCY, and TG, and lower basal FSH levels than the control group. The proportion of history of OC treatment and type of Gn were significantly different between the two groups (as shown in Supplementary Table 1). For PCOS patients with HOMA-IR ≥ 2.71, the metformin group had lower basal FSH and basal LH levels, and higher basal T, FAI, and HDL-C levels than the control group. The proportion of PCOM and type of Gn were significantly different between the two groups (as shown in Supplementary Table 2).

TABLE 1
www.frontiersin.org

Table 1 Baseline information and laboratory data between the metformin group and the control group.

3.2 Metformin pre-treatment for all PCOS patients

We compared the COS-related parameters and clinical pregnancy rates between the metformin group and the control group for all PCOS patients. The results showed that the metformin group had fewer oocytes retrieved (15 ± 7 vs. 16 ± 8, p = 0.004), a lower cleaved oocyte rate (97.9% vs. 98.5, p = 0.013), a lower available D3 embryo rate (68.9% vs. 73.4%, p < 0.001), a lower blastocyst formation rate (69.3% vs. 71.7%, p = 0.043), and a lower available blastocyst rate (85.9% vs. 90.8%, p < 0.001) than the control group. However, there was no statistical difference in IVF fertilization rate (p = 0.726), ICSI fertilization rate (p = 0.294), high-quality D3 embryo rate (p = 0.092), and high-quality blastocyst rate (p = 0.749) between the two groups. We did not find a statistical difference in severe OHSS rate between the two groups (p = 0.372).

For 345 PCOS patients who received fresh ET cycles (177 patients in the metformin group and 168 patients in the control group), the clinical pregnancy rate between the metformin group and the control group was comparable (55.9% vs. 57.1%, p = 0.821). For 552 PCOS patients who received their first frozen ET cycles (207 patients in the metformin group and 345 patients in the control group), there was no statistical difference in the clinical pregnancy rate between the two groups (63.8% vs. 60.9%, p = 0.497). The above results are shown in Table 2. After adjusting for age, BMI, duration of infertility, history of OC treatment, AMH, basal FSH, basal LH, FAI, HCY, and TG, as these factors were statistically different between the two groups and were reported to be associated with the clinical pregnancy rate in IVF/ICSI-ET before, there was no statistical difference in the clinical pregnancy rate between the two groups either (as shown in Supplementary Table 3).

TABLE 2
www.frontiersin.org

Table 2 COS outcomes and clinical pregnancy outcomes between the metformin group and the control group in all PCOS patients.

3.3 Metformin pre-treatment for PCOS patients with HOMA-IR < 2.71

We did not find any statistical difference in IVF fertilization rate, ICSI fertilization rate, cleaved oocyte rate, high-quality D3 embryo rate, blastocyst formation rate, and high-quality blastocyst rate between the metformin group and the control group for PCOS patients with HOMA-IR < 2.71. However, there was a significantly lower available D3 embryo rate (66.1% vs. 72.3%, p < 0.001) and available blastocyst rate (84.8% vs. 91.3%, p < 0.001) in the metformin group compared with the control group. We found no statistical difference in severe OHSS rate between the two groups (p = 0.836).

The clinical pregnancy rate between the metformin group and the control group was comparable for 198 PCOS patients who received fresh ET cycles (61.5% vs. 57.6%, p = 0.658). There was no statistical difference in the clinical pregnancy rate between the metformin group and the control group (70.6% vs. 66.7%, p = 0.535) for 372 PCOS patients who received their first frozen ET cycles (102 patients in the metformin group and 270 patients in the control group). The above results are shown in Table 3. After adjusting for age, BMI, duration of infertility, history of OC treatment, basal FSH, FAI, HCY, and TG, there was no statistical difference in the clinical pregnancy rate between the two groups either (as shown in Supplementary Table 4).

TABLE 3
www.frontiersin.org

Table 3 COS outcomes and clinical pregnancy outcomes between the metformin group and the control group in PCOS patients of different HOMA-IR subgroups.

3.4 Metformin pre-treatment for PCOS patients with HOMA-IR ≥ 2.71

For PCOS patients with HOMA-IR ≥ 2.71, we found no difference in IVF fertilization rate, ICSI fertilization rate, high-quality D3 embryo rate, available blastocyst rate, or high-quality blastocyst rate between the metformin group and the control group. The cleaved oocyte rate (97.5% vs. 98.7%, p = 0.009), available D3 embryo rate (71.6% vs. 76.1%, p = 0.001), and blastocyst rate (43.2% vs. 50.4%, p < 0.001) were statistically lower in the metformin group than in the control group (as shown in Table 3).

Among 147 fresh ET cycles (99 in the metformin group and 48 in the control group), the clinical pregnancy rate was comparable in the metformin group and the control group (51.5% vs. 56.3, p = 0.590). However, among 180 frozen ET cycles (105 in the metformin group and 75 in the control group), the clinical pregnancy rate in the metformin group was significantly higher than in the control group (57.1% vs. 40.0%, p = 0.023). After adjusting for PCOM, T, basal FSH, basal LH, and FAI, there was no statistical difference in the clinical pregnancy rate in fresh ET cycles either. The clinical pregnancy rate in frozen ET cycles was still higher in the metformin group than in the control group (p = 0.007) (as shown in Supplementary Table 5).

4 Discussion

PCOS is the most common endocrinopathy with complex reproductive, metabolic, and psychological manifestations (11). It is challenging for PCOS patients to receive IVF/ICSI-ET because of unsatisfactory COS-related parameters, a lower clinical pregnancy rate, and a higher risk of OHSS, miscarriage, and other pregnancy complications compared with healthy women (4). IR reflects metabolic and mitogenic disorders (12), playing crucial roles in the pathological mechanisms of PCOS, and is closely associated with obesity and hyperandrogenism (13, 14). HOMA-IR is a simple and convenient indicator to evaluate the degree of IR (15). Patients with a higher HOMA-IR were reported to have a lower implantation rate (15), a lower clinical pregnancy rate (15, 16), and a higher risk of early miscarriage (17) and late miscarriage (10) than patients with a lower HOMA-IR in IVF/ICSI-ET cycles. Metformin is a synthetically derived biguanide that is widely used in PCOS patients because it improves insulin sensitivity (18, 19), but the application of metformin is full of controversy. A cohort study indicated no positive role of metformin on the success rate of IVF/ICSI-ET for PCOS patients (20). In addition, a randomized double-blind controlled trial (RCT) exploring the efficacy of pre-treatment of metformin for all PCOS patients who received IVF/ICSI-ET treatment showed no difference in implantation rate, multiple pregnancy rate, miscarriage rate, or live birth rate (21). Similarly, another systematic review and meta-analysis showed a similar clinical pregnancy rate for all PCOS patients with and without metformin pre-treatment during IVF/ICSI-ET cycles (22).

In this study, we retrospectively collected information on IVF/ICSI-ET cycles for 969 PCOS patients and investigated the value of HOMA-IR as a judgment criterion for metformin pre-treatment before IVF/ICSI-ET cycles in patients with PCOS. Clinical pregnancy rate was selected as the primary outcome of this study. For all PCOS patients not grouped according to HOMA-IR, we observed a comparable clinical pregnancy rate in both fresh ET and frozen ET cycles between the metformin group and the control group, which were in correlation with previous studies (22). For PCOS patients with HOMA-IR < 2.71, there was no statistical difference in the clinical pregnancy rate between the metformin group and the control group in both fresh and frozen ET cycles. For PCOS patients with HOMA-IR ≥ 2.71, we observed a higher clinical pregnancy rate in the metformin group than in the control group in frozen ET cycles, which was similar to a previous systematic review and meta-analysis that observed the same outcome in PCOS patients with BMI > 26 kg/m2 (22). We can initially conclude that metformin pre-treatment increases the clinical pregnancy rate for PCOS patients with HOMA-IR ≥ 2.71 in frozen IVF/ICSI-ET cycles, which was in agreement with our knowledge that metformin can ameliorate IR and decrease the adverse effects of IR on IVF/ICSI-ET outcomes. However, the difference in the clinical pregnancy rate between the two groups was not significant in fresh ET cycles even for PCOS patients with HOMA-IR ≥ 2.71. We try to explain the results and speculate that metformin pre-treatment may affect the endometrial receptivity of PCOS patients during fresh ET cycles; therefore, the effect of metformin pre-treatment on the clinical pregnancy rate was weakened. During frozen ET cycles, artificial menstrual cycle was established; therefore, the effect of metformin pre-treatment on endometrial receptivity was not shown.

COS-related parameters were selected as secondary outcomes of this study. We have to be concerned that metformin pre-treatment seems to have an important influence on the COS-related parameters. All of the included PCOS patients received the GnRH-antagonist protocol treatment. We found that metformin not only decreased the number of oocytes retrieved, the available D3 embryo rate, the cleaved oocyte rate, and the blastocyst formation rate for all PCOS patients not grouped according to HOMA-IR and PCOS patients with HOMA-IR ≥ 2.71, but also decreased the available D3 embryo rate and the available blastocyst rate for all PCOS patients not grouped according to HOMA-IR and PCOS patients with HOMA-IR < 2.71. The above results were in agreement with a previous RCT, which found that metformin pre-treatment decreased the mean number of the retrieved oocytes and the number of fertilized oocytes (21). Interestingly, although the influence of metformin on COS-related parameters was observed in our study and a previous RCT, no adverse effect of metformin on the clinical pregnancy rate was found. The above results indicated that the influence of metformin pre-treatment on COS-related parameters should not be considered as an adverse effect in IVF/ICSI-ET because COS-related parameters are not correlated with IVF/ICSI-ET outcomes entirely.

There were some limitations preventing the generalization of the results. Firstly, this study was a single-center retrospective cohort study, the grade of clinical evidence was limited, and we did not perform a follow-up investigation on the changes in HOMA-IR, BMI, blood lipid, and other indicators in the metformin group after metformin pre-treatment, which could have been helpful for analyzing the correlation between indicator changes and pregnancy outcome. Secondly, because this is a retrospective study, we could not be involved with the patients; thus, the duration and dosage of metformin pre-treatment for included PCOS patients were different, which may affect the outcomes of this study. Thirdly, we selected 2.71 as the cutoff value of HOMA-IR according to previous reports; whether the cutoff value may affect the outcomes of this study was not clear and needs to be explored in the future, but this study indicated that HOMA-IR was a useful indicator for the guidance of metformin pre-treatment before IVF/ICSI-ET for PCOS patients. The above limitations indicated that we must interpret the results of this study with caution, and a well-designed RCT with a large sample size should be performed to obtain a more valuable conclusion.

In conclusion, metformin pre-treatment could be added for PCOS patients with HOMA-IR ≥ 2.71 during frozen IVF/ICSI-ET cycles to improve the clinical pregnancy rate, but for PCOS patients with HOMA-IR < 2.71 or PCOS patients receiving fresh IVF/ICSI-ET treatment, metformin pre-treatment was not proven to be of benefit by the present study. The influence of metformin on COS-related parameters of PCOS patients should be considered in the GnRH-antagonist protocol. The results of this study need to be proven by a well-designed RCT with and large sample size in the future.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The study was approved by the Ethics Committee of West China Second University Hospital.

Author contributions

ZL contributed to this study’s conception and design. Material preparation, data collection, and analysis were performed by RG and WM. The first draft of the manuscript was written by RG and LQ, and all authors commented on previous versions of the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the Medical Science and Technology Project of Sichuan Provincial Health Commission (grant number 21PJ050).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2023.1106276/full#supplementary-material

References

1. Goodarzi MO, Dumesic DA, Chazenbalk G, Azziz R. Polycystic ovary syndrome: Etiology, pathogenesis and diagnosis. Nat Rev Endocrinol (2011) 7(4):219–31. doi: 10.1038/nrendo.2010.217

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Chang J, Azziz R, Legro R, Dewailly D, Franks R, Tarlatzis R, et al. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril (2004) 81(1):19–25. doi: 10.1016/j.fertnstert.2003.10.004

CrossRef Full Text | Google Scholar

3. Balen AH, Morley LC, Misso M, Franks S, Legro RS, Wijeyaratne CN, et al. The management of anovulatory infertility in women with polycystic ovary syndrome: An analysis of the evidence to support the development of global WHO guidance. Hum Reprod Update (2016) 22(6):687–708. doi: 10.1093/humupd/dmw025

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Sha T, Wang X, Cheng W, Yan Y. A meta-analysis of pregnancy-related outcomes and complications in women with polycystic ovary syndrome undergoing IVF. Reprod BioMed Online (2019) 39(2):281–93. doi: 10.1016/j.rbmo.2019.03.203

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Krentz AJ. Insulin resistance. Bmj (1996) 313(7069):1385–9. doi: 10.1136/bmj.313.7069.1385

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Joham AE, Norman RJ, Stener-Victorin E, Legro RS, Franks S, Moran LJ, et al. Polycystic ovary syndrome. Lancet Diabetes Endocrinol (2022) 10(9):668–80. doi: 10.1016/S2213-8587(22)00163-2

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Fica S, Albu A, Constantin M, Dobri GA. Insulin resistance and fertility in polycystic ovary syndrome. J Med Life (2008) 1(4):415–22.

PubMed Abstract | Google Scholar

8. Matli B, Schulz A, Koeck T, Falter T, Lotz J, Rossmann H, et al. Distribution of HOMA-IR in a population-based cohort and proposal for reference intervals. Clin Chem Lab Med (2021) 59(11):1844–51. doi: 10.1515/cclm-2021-0643

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Tso LO, Costello MF, Albuquerque LET, Andriolo RB, Macedo CR. Metformin treatment before and during IVF or ICSI in women with polycystic ovary syndrome. Cochrane Database Syst Rev (2020) 12(12):Cd006105. doi: 10.1002/14651858.CD006105.pub4

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Yang T, Yang Y, Zhang Q, Liu D, Liu N, Li Y, et al. Homeostatic model assessment for insulin resistance is associated with late miscarriage in non-dyslipidemic women undergoing fresh IVF/ICSI embryo transfer. Front Endocrinol (Lausanne) (2022) 13:880518. doi: 10.3389/fendo.2022.880518

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod (2018) 33(9):1602–18. doi: 10.1093/humrep/dey256

PubMed Abstract | CrossRef Full Text | Google Scholar

12. American Diabetes Association. Standards of medical care in diabetes-2015 abridged for primary care providers. Clin Diabetes (2015) 33(2):97–111. doi: 10.2337/diaclin.33.2.97

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Stepto NK, Cassar S, Joham AE, Hutchison SK, Harrison CL, Goldstein RF, et al. Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic-hyperinsulaemic clamp. Hum Reprod (2013) 28(3):777–84. doi: 10.1093/humrep/des463

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Meyer C, McGrath BP, Teede HJ. Overweight women with polycystic ovary syndrome have evidence of subclinical cardiovascular disease. J Clin Endocrinol Metab (2005) 90(10):5711–6. doi: 10.1210/jc.2005-0011

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Song H, Yu Z, Li P, Wang Y, Shi Y. HOMA-IR for predicting clinical pregnancy rate during IVF. Gynecol Endocrinol (2022) 38(1):33–8. doi: 10.1080/09513590.2021.1952976

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Chang EM, Han JE, Seok HH, Lee DR, Yoon TK, Lee WS. Insulin resistance does not affect early embryo development but lowers implantation rate in in vitro maturation-in vitro fertilization-embryo transfer cycle. Clin Endocrinol (Oxf) (2013) 79(1):93–9. doi: 10.1111/cen.12099

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Chen Y, Guo J, Zhang Q, Zhang C. Insulin resistance is a risk factor for early miscarriage and macrosomia in patients with polycystic ovary syndrome from the first embryo transfer cycle: A retrospective cohort study. Front Endocrinol (Lausanne) (2022) 13:853473. doi: 10.3389/fendo.2022.853473

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Mastrototaro L, Roden M. Insulin resistance and insulin sensitizing agents. Metabolism (2021) 125:154892. doi: 10.1016/j.metabol.2021.154892

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Morley LC, Tang T, Yasmin E, Norman RJ, Balen AH. Insulin-sensitising drugs (metformin, rosiglitazone, pioglitazone, d-chiro-inositol) for women with polycystic ovary syndrome, oligo amenorrhoea and subfertility. Cochrane Database Syst Rev (2017) 11(11):Cd003053. doi: 10.1002/14651858.CD003053.pub6

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kalem MN, Kalem Z, Gurgan T. Effect of metformin and oral contraceptives on polycystic ovary syndrome and IVF cycles. J Endocrinol Invest (2017) 40(7):745–52. doi: 10.1007/s40618-017-0634-x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Abdalmageed OS, Farghaly TA, Abdelaleem AA, Abdelmagied AE, Ali MK, Abbas AM. Impact of metformin on IVF outcomes in overweight and obese women with polycystic ovary syndrome: A randomized double-blind controlled trial. Reprod Sci (2019) 26(10):1336–42. doi: 10.1177/1933719118765985

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wu Y, Tu M, Huang Y, Liu Y, Zhang D. Association of metformin with pregnancy outcomes in women with polycystic ovarian syndrome undergoing In vitro fertilization: A systematic review and meta-analysis. JAMA Netw Open (2020) 3(8):e2011995. doi: 10.1001/jamanetworkopen.2020.11995

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: polycystic ovary syndrome, in vitro fertilization, intracellular sperm injection, embryo transfer, metformin, insulin resistance, HOMA-IR, clinical pregnancy rate

Citation: Gao R, Qin L, Li Z and Min W (2023) The homeostasis model assessment of insulin resistance is a judgment criterion for metformin pre-treatment before IVF/ICSI and embryo transfer cycles in patients with polycystic ovarian syndrome. Front. Endocrinol. 14:1106276. doi: 10.3389/fendo.2023.1106276

Received: 23 November 2022; Accepted: 26 January 2023;
Published: 09 February 2023.

Edited by:

Jiming Chen, Changzhou No.2 People’s Hospital, China

Reviewed by:

Xia Bai Rong, The First Affiliated Hospital of University of Science and Technology of China Anhui Provincial Hospital, China
Zhong Xingming, Guangdong Provincial Family Planning Hospital, China
Hong Cai, Hangzhou First People’s Hospital, China
Yan Wang, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, China

Copyright © 2023 Gao, Qin, Li and Min. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhengyu Li, zhengyuli01@126.com; Wenjiao Min, 71761715@qq.com

ORCID: Rui Gao, orcid.org/0000-0003-1745-9283

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.