Skip to main content
Download PDF

Longitudinal changes of oxidative stress and PON1 lactonase activity and status in older pregnant women undergoing assisted reproductive technology: a prospective nested case-control study

Reproductive Biology and Endocrinology volume 21, Article number: 97 (2023) Cite this article

Abstract

Background

Childbearing in women with advanced maternal age (AMA) has increased the need for artificial reproductive technology (ART). ART and oxidative stress are associated with many pregnancy complications. Paraoxonase (PON) 1 is one of the key components responsible for antioxidative activity in high-density lipoprotein (HDL). This study aimed to investigate the longitudinal changes of oxidative stress and PON1 lactonase activity and status in older women undergoing ART.

Methods

This prospective nested case-control study included 129 control and 64 ART women. Blood samples were obtained respectively at different stages of pregnancy. PON1 level and lactonase activity were assessed using 7-O-diethylphosphoryl-3-cyano-4-methyl-7-hydroxycoumarin (DEPCyMC) and 5-thiobutyl butyrolactone (TBBL) as a substrate, respectively. A normalized lactonase activity (NLA) was estimated based on the ratio of TBBLase to DEPCyMCase activity. Serum total oxidant status (TOS), total antioxidant capacity (TAC), malondialdehyde (MDA), homocysteine (HCY), PON1 C-108T and Q192R genetic polymorphisms, and metabolic parameters were analyzed.

Results

Lactonase activity and level of PON1 gradually decreased with pregnancy progression, while glycolipid metabolism parameters and TAC levels increased with pregnancy progression or significantly raised during the 2nd and 3rd trimesters, and NLA of PON1, TOS, OSI, MDA, and HCY significantly increased before delivery in the ART and control groups. Compared with the control women, the ART women had substantially higher or relatively high lactonase activity and NLA of PON1 and TAC during pregnancy; higher triglyceride (TG), total cholesterol, low-density lipoprotein cholesterol, atherogenic index, apolipoprotein (apo) B, and apoB/apoA1 ratio in the 1st trimester; and higher fasting glucose, fasting insulin, homeostatic model assessment of insulin resistance, and TG levels before delivery. No significant differences were found in the frequencies of PON1 C-108T and Q192R genotypes and alleles between the ART and control groups.

Conclusions

Women with AMA undergoing ART had higher TAC, PON1 lactonase activity, and PON1 NLA than control women, suggesting increased compensatory antioxidant capacity in ART women, thus showing higher sensitivity to oxidative stress-related injury and diseases.

Background

With the development of the modern economy and the improvement of female educational attainment, childbearing at advanced maternal age (AMA), defined as a pregnant woman with an estimated delivery date when she is 35 years old or older, has increased worldwide [1,2,3]. Childbearing at AMA leads to decreased fertility, an increased need for artificial reproductive technology (ART), and an increased risk for multiple pregnancy complications [2, 4]. Furthermore, developments in ART also contribute to an increased incidence of pregnancies in women outside the usual biological reproductive age [2] and result in a higher prevalence of multiple pregnancies, placenta previa, placental abruption or adherence, ante-partum or postpartum hemorrhage, preeclampsia (PE), preterm rupture of membrane, preterm birth, gestational diabetes mellitus (GDM), small for gestational age, and perinatal mortality [5, 6]. Additionally, the operation of ART itself and the precursor reason for seeking the help of ART are also risk factors for increasing the prevalence of complications during pregnancy [5, 7]. However, the underline pathophysiology remains unclear.

Oxidative stress is an imbalance between pro-oxidant molecules and antioxidant defenses, resulting from an increase in the levels of reactive oxygen species (ROS) and/or reactive nitrogen species (RNS) and/or a decrease or relative inadequacy in the antioxidant defense ability [8, 9]. Normal pregnancy is a series of complex endocrine-metabolic coordination and is well-known to increase the oxidative stress mainly produced by a normal systemic inflammatory response, which is of particular interest [8]. Oxidative stress has been recognized in various pathological disorders related to pregnancy, such as spontaneous abortion, preterm birth, GDM, and PE [8, 10,11,12,13].

Paraoxonase (PON) 1 is mainly synthesized in the liver and binds to high-density lipoprotein (HDL) granules in the blood circulation [11, 14, 15]. It is a calcium-dependent multifunctional enzyme that has arylesterase (AREase), paraoxonase (POase), lactonase, and Hcy-thiolactonase (HTase) activities [11, 15, 16]. PON1 protects against xenobiotic toxicity by hydrolyzing organophosphorus insecticides and several nerve agents. It has anti-oxidative, anti-inflammatory, anti-apoptosis, and anti-atherogenic properties by degrading oxidized lipids and homocysteine thiolactone, suppressing the oxidation of low-density lipoprotein (LDL), and diminishing the formation of macrophage foam cells [15,16,17]. Furthermore, several studies have proved that PON1 can degrade oxidized lipids through its lactonase activity [15, 18] and decomposes homocysteine thiolactone, which can increase the homocysteinylation of proteins and lead to protein inactivation and cell damage, through its HTase activity [16]. Therefore, the measurement of PON1 lactonase and HTase activities can better evaluate its anti-oxidative, anti-inflammatory, and anti-atherogenic characteristics compared to the tests of PON1 POase and AREase activities [11, 15, 16, 19].

Oxidative stress is involved in the pathophysiological processes of pregnancy [8, 10,11,12,13, 20]. PON1 is one of the necessary antioxidant enzymes in circulation and crucial in regulating the metabolism of oxidized lipids and homocysteine (HCY) [12, 14,15,16]. Our previous study found that increased oxidative stress and a compensatory elevation of PON1 level and lactonase activity are present in women with GDM and their neonates [11, 12]. Single-nucleoid polymorphism (SNP) of the PON1 gene, such as C-108T and Q192R SNPs, has an evident impact on the levels and activities of PON1 [11, 12, 21]. However, to date, the lactonase activity and status of PON1 and the change of oxidative stress in women undergoing ART and its relationship with underlying pathophysiological mechanism remain unclear. In this study, we investigated the longitudinal changes of oxidative stress, HCY, the lactonase activity and status of PON1, and metabolic indexes. We analyzed the genotype distribution of PON1 C-108T and Q192R SNPs in older women undergoing ART, which would possibly help to understand the reasons for the high prevalence of oxidative stress-related diseases in ART women.

Methods

Study participants

The present study was designed as a prospective nested case-control study. Study participants were recruited from the Department of Obstetrics and Gynecology of West China Second University Hospital between Sep.2017 and Apr.2020. The participants were ≥ 35 years at delivery, with singleton pregnancies, and delivered by cesarean sections. The study was approved by the Institutional Review Committee of West China Second Hospital of Sichuan University (No. 2017- 033 to Xinghui Liu and No. 2020-036 to Ping Fan). All participants provided written informed consent before the commencement of the study.

According to the mode of conception (ART vs. spontaneous), the participants were divided into ART and control groups and were excluded if they met one of the following criteria: (i) twin/multiple pregnancies; (ii) pre-pregnancy diabetes, chronic hypertension, GDM, hypertension in pregnancy, preeclampsia, intrahepatic cholestasis in pregnancy, endocrine disorders, cardiovascular diseases, autoimmune diseases, infections, and tumors; (iii) vaginal deliveries or emergency cesarean sections; (iv) long-term taking medication due to internal and external diseases during the study; (v) women that had premature delivery were also excluded from the control group.

All participants in this study had not taken any other medications except vitamins, minerals and trace elements for pregnant women (Elevit) and calcium (Caltrate) regularly during pregnancy.

Blood samples were obtained in the morning after overnight fasting at early pregnancy (gestational age 12–14 weeks), middle pregnancy (gestational age 24–26 weeks), late pregnancy (gestational age 32–34 weeks), and before cesarean section, respectively. The transportation and processing of samples were carried out at 4 °C. Serum and plasma aliquots were stored at -40 °C until analysis.

Clinical information, including age, pre-pregnancy body mass index (BMI, kg/m2), BMI before delivery, weight gain during pregnancy, systolic blood pressure (SBP), diastolic blood pressure (DBP), gestational age, and birth height and weight of infants of these mothers, were recorded.

Analysis of PON1 activities, oxidative stress, and metabolic parameters

The lactonase activity and level of PON1 were analyzed using 5-thiobutyl butyrolactone (TBBL) and 7-O-diethylphosphoryl-3-cyano-4-methyl-7-hydroxycoumarin (DEPCyMC) as substrates, respectively, based on the dynamic methods as previously described [21]. The normalized lactonase activity (NLA) of PON1 was calculated using the following formula [19, 21]:

$$NLA\, = \,TBBL\,activity\,(U/mL)\, \times \,1000\,/\,DEPCyMC\,activity\,(mU/mL)$$

Serum malondialdehyde (MDA), total antioxidant capacity (TAC), total oxidant status (TOS), plasma fasting insulin (FIns) and glucose (FGlu), apolipoprotein (apo)A1, apoB, total cholesterol (TC), triglyceride (TG), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), atherosclerosis index (AI), oxidative stress index (OSI), the homeostatic model assessment of insulin resistance (HOMA-IR) were determined or assessed as previously described [9, 12, 22]. Serum HCY levels were measured by an enzymatic method (Shanghai Zhicheng Biological Technology Co., Ltd., Shanghai) using a Hitachi 7600-010 automatic analyzer.

All tests’ intra- and inter-assay variations were < 5% and 10%, respectively.

Analysis of PON1 C-108T and Q192R SNPs

The genomic DNA was isolated from peripheral blood leukocytes of the participants and PON1 C-108T and Q192R SNPs were genotyped by polymerase chain reaction amplification and restriction fragment length polymorphism as previously described [12, 23] with some modifications for the measurement of Q192R SNP. Briefly, the polymerase chain reaction (PCR) primers of the Q192R polymorphism were designed using Primer-BLAST, and a 205-bp fragment was amplified using the forward primer: 5′-TATTGTTGCTGTGGGACCTGAG-3′, and reverse primer: 5′-AGAGTTCACATACTTGCCATCG-3′. The PCR products were digested with AlwI (New England Biolabs, Inc.). Digestion resulted in 64 and 141 bp fragments for the 192R allele and a non-digested 205 bp fragment for the 192Q allele. For genotyping quality control, we re-genotyped more than 30% of the DNA samples by a different operator, and all re-genotypes were consistent.

Statistical analysis

Statistical Program for Social Sciences (SPSS) 26.0 was used to conduct all statistical analyses. The data were presented as mean ± standard deviation (SD) or relative frequencies (%), and differences between groups/subgroups were assessed using an independent sample t-test, one-way analysis of variance (ANOVA), or chi-squared (χ2) test. The differences in relevant indicators between the ART and control groups after adjusting for age and pre-pregnancy BMI were estimated using an analysis of covariance. The changes in the indicators with time were analyzed using one-way repeated measures ANOVA. Statistical significance was set at two-sided P < 0.05.

The NLA of PON1 was one of the main indexes in this study. A statistical power value was calculated based on sample size and the NLA of PON1 during the 1st, 2nd, and 3rd trimesters and before delivery by the Power and Sample Size Calculations (PS) Program Version 3.1.6.

Results

Clinical characteristics of the ART and control groups

The ART group consisted of women with infertility due to fallopian tubes factors (45.31%, 29 of 64), male infertility factors (12.50%, 8 of 64), undetermined factors (17.19%, 11 of 64), and other factors including pelvic adhesions, polycystic ovary syndrome, endometriosis, etc. (25.00%, 16 of 64).

As shown in Table 1, compared with the control group, the ART group had significantly lower gestation age, gravidity, parity, and neonatal weight (P < 0.05) but higher SBP (P = 0.008). There was no significant difference in age, pre-pregnancy BMI, BMI before delivery, weight gain during pregnancy, DBP, and neonatal length between the two groups (P > 0.05).

Table 1 Clinical characteristics in ART and control groups
Full size table

Metabolic parameters between the ART and control groups during different pregnant periods

Metabolic parameters between the ART and control women during the 1st, 2nd, and 3rd trimesters and before pregnancy delivery are shown in Table 2.

Table 2 Metabolic parameters in ART and control groups during different pregnant periods
Full size table

In the ART and control groups, TG, AI, and apoB/apoA1 ratio gradually increased with pregnancy progression (P < 0.001); TC, HDL-C, LDL-C, apoA1, apoB, FIns, and HOMA-IR reached a peak during 2nd and 3rd trimester, and then became stable or slightly declined before delivery (P < 0.001). In addition, FGlu was lower in 3rd trimester than in 1st trimester (P = 0.038) in the control group and was highest before delivery in the ART group (P < 0.001).

After correcting for differences in age and pre-pregnancy BMI between the ART and control groups, TG, TC, LDL-C, AI, apoB, and apoB/apoA1 ratio in the 1st trimester and the FGlu, FIns, HOMA-IR, and TG levels before delivery were significantly higher in the ART women than in the control women (P < 0.05).

Oxidative stress indexes between the ART and control groups in different pregnant periods

Oxidative stress parameters between the ART and control groups during the 1st, 2nd, and 3rd trimesters and pregnancy delivery are shown in Table 3.

Table 3 Oxidative stress parameters and PON1 activities in ART and control groups during different pregnant periods
Full size table

In the ART and control groups, serum TOS, OSI, MDA, and HCY levels were significantly higher before delivery than in the 1st, 2nd, and 3rd trimesters (P < 0.001), while TAC levels were significantly higher in the 2nd and 3rd trimesters than in the 1st trimester (P < 0.05; Table 3; Fig. 1, and Fig. 2D).

Fig. 1
figure 1

Longitudinal changing tendency of oxidative stress parameters. Longitudinal changes in oxidative stress parameters during gestation in the ART and control women. (A) total oxidant status (TOS); (B) total antioxidant capacity (TAC); (C) oxidative stress index (OSI); (D) malondialdehyde (MDA). *P < 0.05, compared with the control corresponding subgroup

Full size image
Fig. 2
figure 2

Longitudinal changing tendency of PON1 activities and HCY levels. Longitudinal changes in the lactonase activity, level and normalized lactonase activity (NLA) of paraoxonase 1 (PON1), as well as homocysteine (HCY) level during gestation in the ART and control women. (A) PON1 lactonase activity; (B) PON1 levels; (C) PON1 NLA; (D) HCY. *P < 0.05, compared with the control corresponding subgroup

Full size image

Serum TAC levels in the 1st, 2nd, and 3rd trimesters were substantially higher in the ART women than in control women after correcting for differences in age and pre-pregnancy BMI (P < 0.05; Table 3, and Fig. 1B).

Lactonase activity and status of PON1 during different pregnant periods and PON1 C-108T and Q192R SNPs in the ART and control groups

As shown in Table 3; Fig. 2A-C, the lactonase activity and level of PON1 gradually decreased with pregnancy progression. They fell to the lowest levels before delivery, while the NLA of PON1 reached its peak before delivery in both ART and control groups (P < 0.001).

The lactonase activity of PON1 in the 2nd and 3rd trimesters and before delivery; and the NLA of PON1 in the 1st, 2nd, and 3rd trimesters and before delivery were significantly higher in the ART group than in the control group after correcting for differences in age and pre-pregnancy BMI (P < 0.05; Table 3; Fig. 2A-C). The statistical power values of 0.707, 0.813, 0.741, and 0.820 were achieved in the study for the NLA of PON1 during the 1st, 2nd, and 3rd trimesters and before delivery, respectively (within-group standard deviations = 43.78, 43.69, 43.78, and 46.02, respectively; differences in the case and control means = 16.84, 19.11, 17.52, 20.32, respectively; significance level = 0.05).

The genotype distributions of the PON1 C-108T and Q192R SNPs were in Hardy‒Weinberg equilibrium in both ART and control groups (all P > 0.05). No significant differences were observed in the frequencies of the PON1 C-108T and Q192R genotypes and alleles between the ART and control groups (P > 0.05, Table 4).

Table 4 Frequencies of PON1 C-108T and Q192R genotypes and alleles in ART and control groups
Full size table

Discussion

To our knowledge, this is the first study to investigate the longitudinal changes of oxidative stress and PON1 lactonase activity and status during gestation in women undergoing ART. We found that the lactonase activity and level of PON1 gradually decreased with pregnancy progression. However, TAC levels significantly increased during the 2nd and 3rd trimesters. NLA of PON1 and oxidative stress parameters, including TOS, OSI, MDA, and HCY, significantly increased in the ART and control groups before delivery. Moreover, we found that the lactonase activity of PON1 in the 2nd and 3rd trimesters and before delivery, the NLA of PON1 in the 1st, 2nd, and 3rd trimesters and before delivery, and TAC in the 1st, 2nd, and 3rd trimesters were significantly higher in the ART women than in the control women. Besides, we also showed that the women undergoing ART had an adverse lipid metabolic profile in the 1st trimester and a higher FGlu, FIns, HOMA-IR, and TG levels before delivery compared with the control women. We consider that an unfavorable glycolipid metabolism and a compensatory increase in PON1 activities and TAC during pregnancy in the women undergoing ART may be the partial reasons that hindered a natural conception and increased the risk of metabolic and oxidative stress-related diseases including pregnancy complications in these women.

Pregnancy is a stress state related to an atherogenic lipid profile in women [11, 24]. Pregnancy produces transient insulin resistance manifested as elevated postprandial glucose and fasting lipid levels, increased inflammatory response, and enlarged circulating blood volume [25]. Maternal metabolic changes during early pregnancy are mostly increasing lipid synthesis and body fat accumulation from hyperphagia arising in response to a hormonal stimulus [26, 27]. On the other hand, again due to hormones, there can be an initial weight loss due to hyperemesis. As pregnancy progresses, this accumulation stops or even declines during the 3rd trimester as a consequence of both enhanced lipolysis and decreased fatty acid intake in adipose tissue, which in turn causes the increases of fatty acids into the liver, the enhancement of very low-density lipoprotein synthesis and secretion, and the elevation of lipoprotein levels in circulation [27]. Meanwhile, placental hormones and other mediators facilitate peripheral insulin resistance [26]. It was previously reported that a 40–50% reduction in insulin sensitivity and a compensation of 200–250% increase in insulin secretion by pancreatic β cells to maintain maternal euglycemia [28]. Consistent with previous reports [29, 30], in this study, we showed that TG, TC, and LDL-C levels gradually increased with pregnancy progression and peaked during the 3rd trimester or before delivery in the ART and control groups. We further demonstrated that the longitudinal changes of HDL-C, AI, apoA1, apoB, FIns, apoB/apoA1 ratio, and HOMA-IR during gestation also represented similar trends. However, unlike the tendency of physiological changes in the control women, the FGlu, FIns, and HOMA-IR during gestation reached the highest levels before delivery in the ART group. The TG, TC, LDL-C, AI, apoB, and apoB/apoA1 ratio in the 1st trimester and the FGlu, FIns, HOMA-IR, and TG before delivery were significantly higher in the ART women than in the control women. Our findings suggest that ART women have an adverse lipid metabolic profile and a fragile balance in glucose metabolism, corroborating previous reports that women undergoing ART have a higher risk of GDM [6, 31].

Another characteristic of pregnancy stress is increased oxidative stress [11, 24, 32]. Implantation and placentation in early pregnancy resemble “an open wound in the uterus”, and the following inflammatory environment is essential for repairing the uterine epithelium and removing cellular debris resulting from blastocysts and trophoblasts [33]. The systematic inflammation results in increased oxidative stress in the 1st trimester and maintained a redox balance in the 2nd and 3rd trimesters for rapid fetal growth and developed again until delivery, which needs a strong inflammatory response to promote uterine contractions and delivery of baby and placenta [33, 34]. Pereira et al. [34] reported increasing oxidative stress levels in the placenta caused by high mitochondrial activity and increased ROS production. Measurement of TOS and TAC can assess the total amount of oxidant and antioxidant molecules present in serum, respectively [9, 11]. OSI, the ratio of TOS to TAC, can estimate the redox state of the body [9]. MDA is an end-product of lipid peroxidation and the hallmark of ROS-induced injury [35]. A study has reported an increased TAC and TOS during the 3rd trimester and before delivery in normal pregnancy [32]. This study showed that TOS, OSI, and MDA levels significantly increased before delivery. However, TAC increased and peaked at 2nd or 3rd trimester and decreased before delivery in the ART and control groups.

Oxidative stress is involved in the pathophysiological process of female infertility. Diseases causing infertility, such as PCOS, obesity, advanced maternal age, and reproductive system inflammation, are associated with oxidative stress [34]. In addition, operations and medications in ART could lead to oxidation-reduction imbalance. A study reported lower superoxide dismutase and higher MDA and sulfhydryl groups after ovarian stimulation, indicating increased oxidative stress after ovarian stimulation [36]. Besides, applying gonadotropins in ART may generate large amounts of ROS and lead to oxidation-reduction imbalance, directly affecting maternal serum’s oxidative stress indicators, such as antioxidant capacity, susceptibility to oxidation in vitro, and antioxidants in vivo [37]. Our findings showed that the ART women had significantly higher TAC during pregnancy than the control women, suggesting a compensatory increase in antioxidant capacity exists in these women.

PON1 plays antioxidant and anti-atherogenic roles by hydrolyzing lipid peroxides and homocysteine thiolactone (HTL) depending on its lactonase and HTase activities [15, 16, 19, 38]. HCY, along with HTL, is an essential precursor of oxidative stress, activating autoimmune, enhancing thrombosis response, and interacting with LDL to form foam cells [16, 38]. Studies found a significant decrease in serum POase activity of PON1 during the 3rd trimester and before delivery in normal pregnancy [30, 32]. In this study, we found that the lactonase activity and level of PON1 gradually decreased with pregnancy progression. However, the NLA of PON1 and HCY levels significantly increased before delivery in the ART and control groups. Furthermore, we found that the ART women had significantly higher lactonase activity and NLA of PON1 during pregnancy compared with the control women, suggesting that a compensatory increase in PON1 activities in these women.

PON1 activities and status are influenced by various factors, such as genetic polymorphisms of PON1, oxidative stress, lipoproteins, and apolipoproteins [11, 21, 39, 40]. Genetic variants of PON1 play vital roles in regulating the expression and/or activities of PON1 and may explain more than 60% of the individual differences in enzyme protein levels and activities [12, 21, 41]. Among PON1 SNPs known, the SNP C-108T, a binding site for the transcription factor Sp1 in the promoter region, has the greatest impact on the gene expression of PON1 and can account for 22.8% of the observed variability [21, 42, 43]. The SNP Q192R, a common variation in the exon region, mainly affects the enzyme activities of PON1 in a substrate-dependent manner [11, 15, 44]. The Q isoform hydrolyzes soman, sarin, diazoxon, and lipid peroxides more efficiently [15, 44], whereas the R isoform hydrolyzes paraoxon (POase activity) more rapidly in vitro [44, 45]. Oxidative stress has a reversible effect on the levels and activities of PON1. Previous studies found that serum TAC and MDA levels correlated positively with the lactonase activity and levels of PON1, respectively, suggesting that the elevated TAC, PON1 lactonase activity, and PON1 levels might compensate for increased oxidative stress in women with GDM and their neonates [11, 12]. However, hyperglycemia and excessive oxidant molecules may cause glycosylation and oxidative damage to PON1, reducing enzyme activity [46,47,48]. PON1 activities are also affected by apolipoproteins. Both apoA1 and apoE combined with PON1 in HDL could help stimulate the PON1 lactonase activity and strengthen the enzyme stability [39, 41]. In this study, the lactonase activity and NLA of PON1 were significantly higher at different stages of pregnancy in the ART group than in the control group. Consequently, the genotypic frequencies of the PON1 C-108T and Q192R polymorphisms were not significant differences between the ART and control groups, suggesting that the compensatory increase in PON1 activities might be mainly related to an unfavorable state of glycolipid metabolism and oxidative stress.

Some limitations need to be acknowledged. First, the participants in this study are limited to women with AMA; however, age might affect oxidative stress and metabolic indicators and was an independent risk factor for many pregnancy complications. A comparison between young and AMA women would help figure out the compact of age. Second, this was a single-center study, and we could not include more participants. Limited by the relatively small sample size, we failed to perform subgroup analyses, for example, reasons for undergoing ART and different technologies such as in vitro fertilization and embryo transfer, intracytoplasmic sperm injection, and preimplantation genetic diagnosis. Third, we did not genotype PON1 polymorphisms in some participants (ART = 11; control = 5) due to a missing DNA sample, which might have affected the power of these parameters.

Conclusions

For the first time, the present study systematically detected oxidative stress indicators and the lactonase activity and status of PON1 at different time points in gestation in ART women. We found that women with AMA undergoing ART had higher TAC, PON1 lactonase activity, and PON1 NLA than the control women. This suggests that a compensatory increase in antioxidant capacity exists in ART women and thus might be more sensitive to oxidative stress-related injury and diseases. Our findings also provide evidence that ART women may develop an unfavorable glycolipid metabolism. Whether these changes potentially cause metabolic disorders later in the life of ART women and their offspring remains to be determined. Further research could focus on early pregnancy interventions that could help improve prognosis and prevent diseases. Moreover, the health status of these women and their offspring require other clinical follow-ups.

Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

AI:

atherosclerosis index

AMA:

advanced maternal age

Apo:

apolipoprotein

AREase:

arylesterase

ART:

artificial reproductive technology

BMI:

body mass index

DBP:

diastolic blood pressure

DEPCyMC:

7-O-diethylphosphoryl-3-cyano-4-methyl-7-hydroxycoumarin

FGlu:

fasting glucose

FIns:

fasting insulin

GDM:

gestational diabetes mellitus

HCY:

homocysteine

HDL:

high-density lipoprotein

HOMA-IR:

homeostatic model assessment of insulin resistance

HTase:

Hcy-thiolactonase

LDL:

low-density lipoprotein

MDA:

malondialdehyde

NLA:

normalized lactonase activity

OSI:

oxidative stress index

PE:

preeclampsia

POase:

paraoxonase

PON1:

paraoxonase 1

RNS:

reactive nitrogen species

ROS:

reactive oxygen species

SBP:

systolic blood pressure

SNP:

single-nucleoid polymorphism

TAC:

total antioxidant capacity

TBBL:

5-thiobutyl butyrolactone

TOS:

total oxidant status

References

  1. Li HT, Xue M, Hellerstein S, Cai Y, Gao Y, Zhang Y, et al. Association of China’s universal two child policy with changes in births and birth related health factors: national, descriptive comparative study. BMJ. 2019;366:l4680.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Fitzpatrick KE, Tuffnell D, Kurinczuk JJ, Knight M. Pregnancy at very advanced maternal age: a UK population-based cohort study. BJOG. 2017;124(7):1097–106.

    Article  CAS  PubMed  Google Scholar 

  3. Mathews TJ, Hamilton BE. Mean Age of Mothers is on the rise: United States, 2000–2014. NCHS Data Brief. 2016;232:1–8.

    Google Scholar 

  4. Attali E, Yogev Y. The impact of advanced maternal age on pregnancy outcome. Best Pract Res Clin Obstet Gynaecol. 2021;70:2–9.

    Article  PubMed  Google Scholar 

  5. Zhu L, Zhang Y, Liu Y, Zhang R, Wu Y, Huang Y, et al. Maternal and live-birth outcomes of Pregnancies following assisted Reproductive Technology: a retrospective cohort study. Sci Rep. 2016;6:35141.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Pandey S, Shetty A, Hamilton M, Bhattacharya S, Maheshwari A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(5):485–503.

    Article  PubMed  Google Scholar 

  7. Kawwass JF, Badell ML. Maternal and fetal risk Associated with assisted Reproductive Technology. Obstet Gynecol. 2018;132(3):763–72.

    Article  PubMed  Google Scholar 

  8. Chiarello DI, Abad C, Rojas D, Toledo F, Vazquez CM, Mate A, et al. Oxidative stress: normal pregnancy versus preeclampsia. Biochim Biophys Acta Mol Basis Dis. 2020;1866(2):165354.

    Article  CAS  PubMed  Google Scholar 

  9. Zhang R, Liu H, Bai H, Zhang Y, Liu Q, Guan L, et al. Oxidative stress status in chinese women with different clinical phenotypes of polycystic ovary syndrome. Clin Endocrinol (Oxf). 2017;86(1):88–96.

    Article  PubMed  Google Scholar 

  10. Hu K, Liu X, Bai H, Zhou M, Jiang C, Fan P. Association of CYBA C242T and superoxide dismutase 2 A16V genetic variants with preeclampsia. Int J Gynaecol Obstet. 2022;158(3):597–604.

    Article  CAS  Google Scholar 

  11. Zhou M, Liu XH, Liu QQ, Chen M, Bai H, Jiang CY, et al. Lactonase activity and status of paraoxonase 1 and oxidative stress in neonates of women with gestational diabetes mellitus. Pediatr Res. 2021;89(5):1192–9.

    Article  CAS  PubMed  Google Scholar 

  12. Zhou M, Liu XH, Liu QQ, Chen M, Bai H, Guan LB, et al. Lactonase activity, Status, and genetic variations of paraoxonase 1 in women with gestational diabetes Mellitus. J Diabetes Res. 2020;2020:3483427.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Moore TA, Ahmad IM, Schmid KK, Berger AM, Ruiz RJ, Pickler RH, et al. Oxidative stress levels throughout pregnancy, at Birth, and in the Neonate. Biol Res Nurs. 2019;21(5):485–94.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Taler-Vercic A, Golicnik M, Bavec A. The structure and function of Paraoxonase-1 and its comparison to Paraoxonase-2 and – 3. Molecules. 2020;25(24).

  15. Camps J, Marsillach J, Joven J. The paraoxonases: role in human diseases and methodological difficulties in measurement. Crit Rev Clin Lab Sci. 2009;46(2):83–106.

    Article  CAS  PubMed  Google Scholar 

  16. Perla-Kajan J, Jakubowski H. Paraoxonase 1 and homocysteine metabolism. Amino Acids. 2012;43(4):1405–17.

    Article  CAS  PubMed  Google Scholar 

  17. Chistiakov DA, Melnichenko AA, Orekhov AN, Bobryshev YV. Paraoxonase and atherosclerosis-related cardiovascular diseases. Biochimie. 2017;132:19–27.

    Article  CAS  PubMed  Google Scholar 

  18. Rosenblat M, Gaidukov L, Khersonsky O, Vaya J, Oren R, Tawfik DS, et al. The catalytic histidine dyad of high density lipoprotein-associated serum paraoxonase-1 (PON1) is essential for PON1-mediated inhibition of low density lipoprotein oxidation and stimulation of macrophage cholesterol efflux. J Biol Chem. 2006;281(11):7657–65.

    Article  CAS  PubMed  Google Scholar 

  19. Gaidukov L, Tawfik DS. The development of human sera tests for HDL-bound serum PON1 and its lipolactonase activity. J Lipid Res. 2007;48(7):1637–46.

    Article  CAS  PubMed  Google Scholar 

  20. Jiang C, Zhou M, Bai H, Chen M, Yang C, Hu K, et al. Myeloperoxidase G-463A and CYBA C242T genetic variants in gestational diabetes mellitus. Endocr Connect. 2023;12(3):e220369.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Zhang Y, Liu H, He J, Xu K, Bai H, Wang Y, et al. Lactonase activity and status of paraoxonase 1 in chinese women with polycystic ovarian syndrome. Eur J Endocrinol. 2015;172(4):391–402.

    Article  CAS  PubMed  Google Scholar 

  22. Zhou M, Chen M, Bai H, He GL, Liu QQ, Guan LB, et al. Association of the G994T and R92H genotypes of platelet-activating factor acetylhydrolase with risk of preeclampsia in chinese women. Pregnancy Hypertens. 2020;20:19–26.

    Article  CAS  PubMed  Google Scholar 

  23. Wang Y, Liu H, Fan P, Bai H, Zhang J, Zhang F. Evidence for association between paraoxonase 1 gene polymorphisms and polycystic ovarian syndrome in southwest Chinese women. Eur J Endocrinol. 2012;166(5):877–85.

    Article  CAS  PubMed  Google Scholar 

  24. Stefanovic A, Kotur-Stevuljevic J, Vujovic A, Spasic S, Spasojevic-Kalimanovska V, Jelic-Ivanovic Z, et al. Association of the atherogenic index of plasma and oxidative stress status with weight gain during non-complicated pregnancy. Clin Chem Lab Med. 2012;50(11):2019–25.

    Article  CAS  PubMed  Google Scholar 

  25. Carpenter MW. Gestational diabetes, pregnancy hypertension, and late vascular disease. Diabetes Care. 2007;30(Suppl 2):246–50.

    Article  Google Scholar 

  26. Chiefari E, Arcidiacono B, Foti D, Brunetti A. Gestational diabetes mellitus: an updated overview. J Endocrinol Invest. 2017;40(9):899–909.

    Article  CAS  PubMed  Google Scholar 

  27. Herrera E, Ortega-Senovilla H. Disturbances in lipid metabolism in diabetic pregnancy - are these the cause of the problem? Best Pract Res Clin Endocrinol Metab. 2010;24(4):515–25.

    Article  CAS  PubMed  Google Scholar 

  28. Law KP, Zhang H. The pathogenesis and pathophysiology of gestational diabetes mellitus: deductions from a three-part longitudinal metabolomics study in China. Clin Chim Acta. 2017;468:60–70.

    Article  CAS  PubMed  Google Scholar 

  29. Leiva A, Salsoso R, Saez T, Sanhueza C, Pardo F, Sobrevia L. Cross-sectional and longitudinal lipid determination studies in pregnant women reveal an association between increased maternal LDL cholesterol concentrations and reduced human umbilical vein relaxation. Placenta. 2015;36(8):895–902.

    Article  CAS  PubMed  Google Scholar 

  30. Ferre N, Camps J, Fernandez-Ballart J, Arija V, Murphy MM, Marsillach J, et al. Longitudinal changes in serum paraoxonase-1 activity throughout normal pregnancy. Clin Chem Lab Med. 2006;44(7):880–2.

    Article  CAS  PubMed  Google Scholar 

  31. Yang X, Li Y, Li C, Zhang W. Current overview of pregnancy complications and live-birth outcome of assisted reproductive technology in mainland China. Fertil Steril. 2014;101(2):385–91.

    Article  PubMed  Google Scholar 

  32. Stefanovic A, Ardalic D, Kotur-Stevuljevic J, Vujovic A, Spasic S, Spasojevic-Kalimanovska V, et al. Longitudinal changes in PON1 activities, PON1 phenotype distribution and oxidative status throughout normal pregnancy. Reprod Toxicol. 2012;33(1):20–6.

    Article  CAS  PubMed  Google Scholar 

  33. Kapur A, McIntyre HD, Hod M. Type 2 diabetes in pregnancy. Endocrinol Metab Clin North Am. 2019;48(3):511–31.

    Article  PubMed  Google Scholar 

  34. Pereira AC, Martel F. Oxidative stress in pregnancy and fertility pathologies. Cell Biol Toxicol. 2014;30(5):301–12.

    Article  CAS  PubMed  Google Scholar 

  35. Zhao SY, Liao LX, Tu PF, Li WW, Zeng KW. Icariin inhibits AGE-Induced Injury in PC12 cells by directly targeting apoptosis Regulator bax. Oxid Med Cell Longev. 2019;2019:7940808.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Tulic L, Vidakovic S, Tulic I, Curcic M, Stojnic J, Jeremic K. Oxidative stress markers in GnRH agonist and antagonist protocols in IVF. J Med Biochem. 2017;36(2):163–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Aurrekoetxea I, Ruiz-Sanz JI, Del Agua AR, Navarro R, Hernandez ML, Matorras R, et al. Serum oxidizability and antioxidant status in patients undergoing in vitro fertilization. Fertil Steril. 2010;94(4):1279–86.

    Article  CAS  PubMed  Google Scholar 

  38. Kumar A, Palfrey HA, Pathak R, Kadowitz PJ, Gettys TW, Murthy SN. The metabolism and significance of homocysteine in nutrition and health. Nutr Metab (Lond). 2017;14:78.

    Article  PubMed  Google Scholar 

  39. Gaidukov L, Viji RI, Yacobson S, Rosenblat M, Aviram M, Tawfik DS. ApoE induces serum paraoxonase PON1 activity and stability similar to ApoA-I. Biochemistry. 2010;49(3):532–8.

    Article  CAS  PubMed  Google Scholar 

  40. Draganov DI, Teiber JF, Speelman A, Osawa Y, Sunahara R, La Du BN. Human paraoxonases (PON1, PON2, and PON3) are lactonases with overlapping and distinct substrate specificities. J Lipid Res. 2005;46(6):1239–47.

    Article  CAS  PubMed  Google Scholar 

  41. James RW, Deakin SP. The contribution of high density lipoprotein apolipoproteins and derivatives to serum paraoxonase-1 activity and function. Adv Exp Med Biol. 2010;660:173–81.

    Article  CAS  PubMed  Google Scholar 

  42. Deakin S, Leviev I, Brulhart-Meynet MC, James RW. Paraoxonase-1 promoter haplotypes and serum paraoxonase: a predominant role for polymorphic position – 107, implicating the Sp1 transcription factor. Biochem J. 2003;372(Pt 2):643–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Brophy VH, Jampsa RL, Clendenning JB, McKinstry LA, Jarvik GP, Furlong CE. Effects of 5’ regulatory-region polymorphisms on paraoxonase-gene (PON1) expression. Am J Hum Genet. 2001;68(6):1428–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Davies HG, Richter RJ, Keifer M, Broomfield CA, Sowalla J, Furlong CE. The effect of the human serum paraoxonase polymorphism is reversed with diazoxon, soman and sarin. Nat Genet. 1996;14(3):334–6.

    Article  CAS  PubMed  Google Scholar 

  45. Rainwater DL, Rutherford S, Dyer TD, Rainwater ED, Cole SA, Vandeberg JL, et al. Determinants of variation in human serum paraoxonase activity. Heredity (Edinb). 2009;102(2):147–54.

    Article  CAS  PubMed  Google Scholar 

  46. Ardalic D, Stefanovic A, Kotur-Stevuljevic J, Vujovic A, Spasic S, Spasojevic-Kaliomanvska V, et al. The influence of maternal smoking habits before pregnancy and antioxidative supplementation during pregnancy on oxidative stress status in a non-complicated pregnancy. Adv Clin Exp Med. 2014;23(4):575–83.

    Article  PubMed  Google Scholar 

  47. Aviram M, Vaya J. Paraoxonase 1 activities, regulation, and interactions with atherosclerotic lesion. Curr Opin Lipidol. 2013;24(4):339–44.

    Article  CAS  PubMed  Google Scholar 

  48. Ferretti G, Bacchetti T, Marchionni C, Caldarelli L, Curatola G. Effect of glycation of high density lipoproteins on their physicochemical properties and on paraoxonase activity. Acta Diabetol. 2001;38(4):163–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors extend our thanks to the participants who donated blood samples and are also thankful to Qingqing Liu, Li Cheng, Jin He, and Kelei Xu for the work performed to support this study.

Funding

This work was funded by the National Key Research and Development Program of China (grant no. 2016YFC1000400), the Key Research and Development Project of Sichuan Province (grant no. 2019YFS0401), and the Program for Changjiang Scholars and Innovative Research Team in University, Ministry of Education (IRT0935).

Author information

Authors and Affiliations

  1. Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China

    Chenyu Jiang, Meng Chen, Yujie Wu & Xinghui Liu

  2. Laboratory of Genetic Disease and Perinatal Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China

    Huai Bai & Ping Fan

Authors
  1. Chenyu Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Meng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yujie Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Huai Bai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xinghui Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ping Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

PF conceived and designed the experiments and revised the manuscript. CJ performed the experiments, analyzed the data, and wrote the manuscript. XL and MC participated in the acquisition or interpretation of data. YW took part in the treatment of the sample and the collecting of clinical data. HB helped with the experiments and revised the manuscript. All authors have read and approved the final manuscript.

Corresponding authors

Correspondence to Xinghui Liu or Ping Fan.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

The study was approved by the Institutional Review Committee of West China Second Hospital of Sichuan University (No. 2017- 033 to Xinghui Liu and No. 2020-036 to Ping Fan) and informed consent was obtained from all participants.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

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

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 http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) 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

Jiang, C., Chen, M., Wu, Y. et al. Longitudinal changes of oxidative stress and PON1 lactonase activity and status in older pregnant women undergoing assisted reproductive technology: a prospective nested case-control study. Reprod Biol Endocrinol 21, 97 (2023). https://doi.org/10.1186/s12958-023-01139-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12958-023-01139-w

Keywords

Reproductive Biology and Endocrinology

ISSN: 1477-7827

Contact us