Abstract
Objective
Macrosomia is one of the most common complications in gestational diabetes mellitus. Insulin-like growth factor 2 and H19 are two of the imprinted candidate genes that are involved in fetal growth and development. Change in methylation at differentially methylated region of the insulin-like growth factor 2 and H19 has been proved to be an early event related to the programming of metabolic profile, including macrosomia and small for gestational age in offspring. Here we hypothesize that alteration in methylation at differentially methylated region of the insulin-like growth factor 2 and H19 is associated with macrosomia induced by intrauterine hyperglycemia.
Results
The expression of insulin-like growth factor 2 is significant higher in gestational diabetes mellitus group (GDM group) compared to normal glucose tolerance group (NGT group) both in umbilical cord blood and placenta, while the expression of H19 is significant lower in GDM group in umbilical cord blood. The expression of insulin-like growth factor 2 is significant higher in normal glucose tolerance with macrosomia group (NGT-M) compared to normal glucose tolerance with normal birthweight group (NGT-NBW group) both in placenta and umbilical cord blood. A model with interaction term of gene expression of IGF2 and H19 found that IGF2 and the joint action of IGF2 and H19 in placenta showed significantly relationship with GDM/NGT and GDM-NBW/NGT-NBW. A borderline significant association was seen among IGF2 and H19 in cord blood and GDM-M/NGT-M. The methylation level at different CpG sites of insulin-like growth factor 2 and H19 in umbilical cord blood was also significantly different among groups. Based on the multivariable linear regression analysis, the methylation of the insulin-like growth factor 2 / H19 is closely related to birth weight and intrauterine hyperglycemia.
Conclusions
We confirmed the existence of alteration in DNA methylation in umbilical cord blood exposed to intrauterine hyperglycemia and reported a functional role in regulating gene associated with insulin-like growth factor 2/H19. Both of these might be the underlying pathogenesis of macrosomia. We also provided the evidence of strong associations between methylation of insulin-like growth factor 2/H19 and macrosomia induced by intrauterine hyperglycemia.
Introduction
Gestational diabetes mellitus (GDM), which is defined as any degree of glucose intolerance with onset during pregnancy, affects 10~20% of all pregnancies [1, 2]. A growing body of research suggests that exposure to intrauterine hyperglycemia can increase the incidence of macrosomia, and these infants are prone to have obesity, abnormal glucose metabolism, hypertension and dyslipidemia in adulthood [3,4]. Many studies suggested that intrauterine hyperglycemia may increase maternal supply of carbohydrates leading to fetal hyperinsulinemia, and stimulation of the insulin sensitive tissue by hyperinsulinemia results in increased fetal growth [5,6], but the exact mechanism of macrosomia induced by intrauterine hyperglycemia environment of GDM is still not completely understood. In mammals, epigenetic reprogramming have been proposed to be involved in the development of human diseases caused by suboptimal environmental or nutritional factors [7]. Moreover, epigenetic abnormalities induced by GDM may be involved in metabolic diseases progression and fetal growth [8, 9]. We hypothesize that GDM increases the risk of macrosomia in offspring by altering epigenetic modification.
Imprinted genes play an important role in embryonic growth and development as well as in placental function [10]. Epigenetic disruption of imprinted genes due to early exposure to adverse environment was proposed to be associated with enhanced susceptibility to adult chronic diseases [11]. The maternally imprinted insulin-like growth factor II (IGF2) gene on chromosome 11p15.5 is one of the best-characterized epigenetically regulated loci. H19 is at 90 kb 3`of IGF2 and is reciprocally imprinted with respect to IGF2, regulating its imprinting and expression [12]. The methylation at differentially methylated region (DMR) of these imprinted genes is very sensitive to early developmental environment, but can be relatively stable throughout the course of individual’s life [13]. Some studies indicated that maternal factors, including GDM and obesity, regulate DNA methylation at the IGF2 and H19 DMRs [14–16], but the results are conflicting and inadequate. There is a lack of data proving the epigenetic change induced by prenatal environmental conditions in imprinted genes is among the mechanisms contributing to the association between GDM and macrosomia in the offspring.
In order to observe the associations between methylation of IGF2/H19 DMRs and macrosomia induced by intrauterine hyperglycemia, we analyzed the methylation levels of IGF2/H19 DMRs of umbilical cord blood of neonates born to normal and GDM.
Materials and Methods
Subjects
A total of 275 pregnant females attending the Department of obstetrics of Peking University First hospital were involved in this study. GDM was diagnosed through a diagnostic 2h 75g oral glucose tolerance test (OGTT) at 24–28th week of gestation by Chinese MOH 2011 criteria [17] when one of the following plasma glucose value was met or exceeded: 0 hour, 5.10mmol/L, 1 hour 10.0mmol/L and 2 hour 8.5mmol/L. Patients with any other complications were excluded (including but not limited to multiple gestation, pregnancy-induced hypertension, preeclampsia, infectious diseases, premature rupture of membrane, polyhydramnios, and fetal anomalies). Two hundred and seventy five infant-mother pairs were divided into GDM group(n = 136) and normal glucose tolerance (NGT) group (n = 139), then divided into four subgroups based on whether the birth weight of fetus > 4000gram: NGT with normal birth weight group (NGT-NBW group, n = 84), GDM with normal birth weight group (GDM-NBW group, n = 109), NGT with macrosomia group (NGT-M group, n = 55), and GDM with macrosomia group(GDM-M group, n = 27).
Clinical and demographic characteristics (including age, gestational age, lipid and pre-pregnancy weight and body mass index (BMI), antepartum weight and BMI, fetus weight, fetus height, and fetus head circumference) were collected through chart review. Oral informed consent was obtained from the participants and the data were analyzed anonymously. The study was approved by the clinical research ethics review board of Peking University First hospital (resolution 2014(823)).
Tissues
Samples of placenta from patients were snipped respectively and tissue samples were snap frozen in liquid nitrogen and stored at -80°C before further processing. Umbilical cord blood samples were collected in Ethylene Diamine Tetraacetic Acid (EDTA)-treated tubes at delivery. Peripheral blood mononuclear cell (PBMCs) were isolated from 3ml anticoagulated cord blood using Lymphocytes Separation Medium (TBD science, Tianjin, China), the PBMCs were washed with phosphate-buffered saline at 4°C, the PBMCs was stored at -80°C until further test.
Relative expression analysis in placenta and umbilical cord blood
Total RNA was isolated from 100 mg of placental tissues and PBMCs from all the patients using 1 mL of TRIzol Reagent (Invitrogen, USA) according to the manufacturer's protocol. Two microgram of total RNA was used as a template for reverse transcription. Oligo (dT) 10 primer and reverse transcriptase (Applied Biosystems, USA) were used according to the manufacturer's protocol. cDNA quantity was measured using Real-time PCR with the ABI PRISM 7500 sequence detector system and ABI PRISM 7500 TaqMan Master. PCR was performed in a final volume of 20 μl, consisting of diluted cDNA sample (2ug), 10x PCR buffer, 2.5uM dNTPs, 1xTaq enzyme, 1xROX, primers and primer probes optimized for each target gene and nuclease-free water. All samples were analyzed in triplicates. Primers were designed using Primer Express 3.0 software. The following primers were used, GAPDH: Sense:5’GAAGGTGAAGGTCGGAGTC3’,Antisense:5’GAAGATGGTGATGGGATTTC 3’, probe: 5’ CAAGCTTCCCGTTCTCAGCC 3’; IGF2: Sense: 5’ GTGCTACCCCCGCCAAGT 3’, Antisense: 5’ TGGACTGCTTCCAGGTGTCA 3’,probe:5’ACGTGTCGACCCCTCCGACCG3’;H19:Sense:5’GGCTCCCAGAACCCACAAC3’, Antisense:5’AGAGGGTTTTGTGTCCGGATT3’,probe:5’AAAGAAATGGTGCTACCCAGCTCAAGCC 3’.
DNA methylation analysis in umbilical cord blood
30 samples from each group of NGT-NBW, NGT-M and GDM-NBW, 25 samples from GDM-M group were randomly chosen to detect the DNA methylation level. Total genomic DNA was isolated from 2ml anticoagulated cord blood using blood DNA midi kit (Omegar, USA), nucleic acid was examined qualitatively and quantitatively using electrophoresis and a spectrophotometer (NanoDrop 2000). The bisulphite treatment was followed by PCR amplification, fragmentation after reverse transcription and analysis on a mass spectrometer, according to the manufacture`s protocol (Sequenom, Inc, San Diego, USA). This generated mass signal patterns that were translated into quantitative DNA methylation levels of different CpG sites of the selected genes by MassARRAY EpiTYPER Analyzer software (Sequenom, Inc, San Diego, USA). Fragments containing one or more CpG sites were called CpG units. DNA methylation was assessed at two locations: in the promoter region encompassing -2238 to -1757 transcription start of H19 overlapping a CpG island, which is part of the H19 DMR, the methylation of 25 CpG sites was measured, and in the promoter region encompassing -2294 to -1731 transcription start of IGF2, which is part of the IGF2 DMR, methylation of 12 CpG sites was assessed. Data was processed and analyzed by the Sequenom MassARRAY Workstation software (version 3.3).
Statistical analysis
One-way ANOVA and student t test was used to test differences in maternal or child characteristics between groups. Inter‑group differences were compared using the Post Hoc Tests. Linear mixed models were used to examine the associations between fetal birth weight and maternal biomarker concentrations and DNA methylation. This model was chosen as it accounts for correlation between CpG sites, incorporates relevant adjustments within the models and has the ability to accommodate missing data. Outliers per CpG (>3SD) were excluded from further analysis. All analyses were performed using SPSS software, version 20.0, values of p < 0.05 were considered to be statistically significant.
Results
General characteristics of subjects
Characteristics of the study subjects (n = 275 infant-mother pairs) are listed in Table 1. All the infants were full term. Mothers in GDM group had a significantly higher age, higher BMI during pre-pregnancy and antepartum, and higher lipid in first trimester compared to mothers in NGT group (p<0.05). Similar results were found in GDM-NBW group compared to NGT-NBW group. Fetus birth weight, height and head circumference showed no significant difference between GDM group and NGT group.
Table 1. Clinical Characteristics of the Study Subjects.
| GDM group | NGT group | |||||
|---|---|---|---|---|---|---|
| GDM-NBW Group(n = 109) | GDM-M Group(n = 27) | Total n = 136 | NGT-NBW Group(n = 84) | NGT-M Group(n = 55) | Total n = 139 | |
| Mother | ||||||
| Age(yr) | 32.19±3.42c | 31.93±3.85d | 32.14±3.50a | 30.85±3.49 | 30.05±3.26 | 30.53±3.41 |
| Gestation age(wk) | 39.22±0.84 | 39.35±0.97 | 39.24±0.87 | 39.62±1.03 | 40.11±0.67 | 39.82±0.93 |
| Prepregenancy BMI | 23.62±6.73c | 25.09±3.84 | 23.92±6.28 | 20.01±5.6 | 22.61±5.83c | 21.05±5.81 a |
| Antepartum BMI | 29.41±4.25c | 30.0±3.93 | 29.53±4.18 a | 26.89±2.55 | 29.31±3.35c | 27.86±3.12 |
| FPG(mmol/L) | 5.47±0.09c | 5.63±0.32 d | 5.50±0.09 a | 4.54±0.03 | 4.67±0.03 | 4.59±0.03 |
| OGTT 1h (mmol/L) | 9.89±0.18c | 9.47±0.37 d | 9.82±0.37 a | 7.39±0.13 | 7.65±0.19 | 7.49±0.09 |
| OGTT 2h(mmol/L) | 8.31±0.17c | 8.04±0.25 d | 8.27±1.61 a | 6.33±0.10 | 6.53±0.12 | 6.41±0.92 |
| TG(mmol/L) | 1.10±0.07 | 1.06±0.12 | 1.09±0.06 a | 0.90±0.09 | 0.83±0.06 | 0.87±0.06 |
| TC(mmol/L) | 4.07±0.08 | 4.22±0.17 | 4.10±0.08 a | 3.89±0.13 | 3.83±0.09 | 3.86±0.09 |
| HDL(mmol/L) | 1.79±0.29 | 1.49±0.08 | 1.72±0.22 | 1.58±0.05 | 1.59±0.04 | 1.59±0.04 |
| LDL(mmol/L) | 2.26±0.06 | 2.40±0.16 d | 2.29±0.07 a | 2.10±0.10 | 1.99±0.08 | 2.05±0.07 |
| Fetus | ||||||
| Fetal birth weight(g) | 3408.4±326.60 | 4394.4±508.80 b | 3604.19±510.60 | 3346.5±336.50 | 4196.8±186.30c | 3682.99±505.80 |
| Fetal height(cm) | 50.32±0.11 | 52.04±0.34 | 50.66±1.48 | 50.2±0.13 | 52.05±0.13 | 50.94±1.46 |
| Fetal head circumference(cm) | 33.86±0.08 | 34.91±0.19 | 34.07±0.99 | 33.86±0.11 | 34.69±0.10 | 34.18±1.01 |
Data are presented as Mean±SE. BMI; Body mass index, FPG; Fasting plasma glucose, OGTT; Oral glucose tolerance test, TG; Triglyceride, TC; Total cholesterol; HDL; High-density lipoprotein, LDL; Low density lipoprotein. Significance was determined by ANOVA.
a p < 0.05 vs. NGT
b p < 0.05 vs. GDM-NBW
cp < 0.05 vs. NGT-NBW
dP<0.05 vs. NGT-M
The expression of IGF2/H19 in placenta and umbilical cord blood
The expression of IGF2 in placenta and umbilical cord blood was significantly higher in GDM group than that in NGT group (p = 0.030, p = 0.005 respectively, Fig 1A, Fig 2A). The expression of IGF2 in both placenta and umbilical cord blood was significant higher in NGT-M group than NGT-NBW group (p = 0.035, p = 0.002, respectively, Fig 1B, Fig 2B). The expression of IGF2 in placenta also had a trend to be higher in GDM-NBW group compared to the NGT-NBW group (p = 0.085, Fig 1B), but the expression of IGF2 in cord blood was significantly lower in GDM-M group compared to NGT-M group (p = 0.012, Fig 2B).
Fig 1. IGF2/H19 Expression in Placenta.
(A)The expression of IGF2 in placenta was significantly higher in GDM group than that in NGT group. (B) The expression of IGF2 in placenta was significant higher in NGT-M group than NGT-NBW group. (C)The expression of H19 in placenta from GDM group had a trend to be decreased compared with control group. (D) There is no significant difference in placenta in each group. * indicates p<0.05.
Fig 2. IGF2/H19 Expression in Umbilical Cord Blood.
A, The expression of IGF2 in umbilical cord blood was significantly higher in GDM group than that in NGT group. (B) The expression of IGF2 in umbilical cord blood was significant higher in NGT-M group than that in NGT-NBW group. (C) The expression of H19 in umbilical cord blood was decreased significantly in GDM group compared to the NGT group. (D) The expression of H19 in umbilical cord blood had a trend decreased in NGT-M group and GDM-M group compared with normal group. * indicates p<0.05, ** indicates p<0.01.
The expression of H19 in umbilical cord blood was significantly lower in GDM group than that in NGT group (p = 0.049, Fig 2C).The expression of H19 in cord blood was lower in GDM-M group compared with GDM-NBW group without statistical significance (P = 0.07, Fig 2D).
A model with interaction term of gene expression of IGF2 and H19 may be better for the data analysis namely Y = beta0+beta1(IGF2)+beta2(H19)+beta3(IGF2╳H19)(Table 2). We found that IGF2 and the joint action of IGF2 and H19 in placenta showed significantly relationship with GDM/NGT and GDM-NBW/NGT-NBW (p = 0.014, p = 0.011; p = 0.036, p = 0.044, respectively). A borderline significant association was seen among IGF2 and H19 in cord blood and GDM-M/NGT-M (p = 0.088, p = 0.080, respectively).
Table 2. The Coefficient Table of A Model with Interaction Term of IGF2 and H19 Expression.
| Beta 1(IGF2) | Beta 2(H19) | Beta 3(IGF2╳H19) | ||||
|---|---|---|---|---|---|---|
| Coeff | p value | Coeff | p value | Coeff | p value | |
| Placenta | ||||||
| GDM/NGT | 1.934 | 0.014* | 1.181 | 0.070 | 0.947 | 0.036* |
| GDM-M/NGT-M | 1.343 | 0.536 | 0.978 | 0.918 | 0.985 | 0.764 |
| GDM-NBW/NGT-NBW | 2.361 | 0.011* | 1.216 | 0.073 | 0.937 | 0.044* |
| Cord blood | ||||||
| GDM/NGT | 0.855 | 0.096 | 0.816 | 0.342 | 1.054 | 0.345 |
| GDM-M/NGT-M | 0.510 | 0.088 | 4.596 | 0.080 | 0.740 | 0.166 |
| GDM-NBW/NGT-NBW | 1.122 | 0.468 | 0.862 | 0.526 | 0.998 | 0.974 |
Linear Mixed Model analysis
* indicates p<0.05
The methylation levels of IGF2/H19 DMR in umbilical cord blood
The methylation level of 12 CpG sites of IGF2 DMR and 25 CpG sites of H19 DMR quantified via Sequenom massarray from umbilical cord blood was shown in Table 3 and Fig 3.We found that the methylation level at CpG sites 1,4,5,6,7~8,9,10 and 11 of IGF2 DMR were lower in GDM group than NGT group. Furthermore, the methylation level at CpG sites 2,4,5,6,7~8,9,12 and 13 of IGF2 DMR were lower in GDM-M group than GDM-NBW group, but the methylation level did not show significant difference (p>0.05 for all).And the methylation level at CpG sites 4,5,6,9 and 12 of IGF2 DMR were lower in NGT-M group than that in NGT-NBW group, the methylation level of CpG site 9 of IGF2 DMR was significant lower in NGT-M group than that in NGT-NBW group(p = 0.018,Fig 3B) and a borderline significant decreased methylation level of CpG sites 5 and 6 of IGF2 DMR was found in NGT-M group compared to NGT-NBW group(p = 0.077,p = 0.076,respectively, Fig 3B).
Table 3. Average Methylation Level of IGF2/H19 Gene in Umbilical Cord Blood.
| GDM group | NGT group | |||||
|---|---|---|---|---|---|---|
| GDM-NBW Group(n = 30) | GDM-M Group(n = 25) | Total n = 55 | NGT-NBW Group(n = 30) | NGT-M Group(n = 30) | Total n = 60 | |
| Methylation %(SD) | Methylation %(SD) | Methylation %(SD) | Methylation %(SD) | Methylation %(SD) | Methylation %(SD) | |
| IGF2 | ||||||
| CpG 1 | 3.2(1.8) | 3.9(2.4) | 3.4(1.9) | 3.2(1.5) | 4.2(2.1) | 3.6(1.8) |
| CpG 2 | 5.7(9.3) | 2.9(4.3) | 5.0(8.3) | 4.4(6.4) | 4.4(5.5) | 4.4(6.0) |
| CpG 3 | 32.9(18.4) | 39.9(11.0) | 34.8(16.8) | 30.3(14.4) | 35.7(21.5) | 32.6(17.8) |
| CpG 4 | 0.9(2.1) | 0.9(2.6) | 0.9(1.6) | 0.9(1.7) | 0.8(1.4) | 0.8(2.2) |
| CpG 5 | 6.7(3.3) | 5.9(4.3) | 6.4(3.6) | 7.3(2.9) | 5.7(4.0) c | 6.6(3.5) |
| CpG 6 | 4.4(2.2) | 3.5(2.4) | 4.1(2.2) | 5.2(2.3) | 4.2(1.7) | 4.7(2.1) |
| CpG 7~8 | 42.5(2.3) | 41.6(5.2) | 42.3(3.4) | 42.3(4.4) | 42.7(2.5) | 42.5(3.7) |
| CpG9 | 0.9(1.7) | 0.6(1.2) | 0.8(1.6) | 1.7(2.2) | 0.5(1.0) c | 1.2(1.9) |
| CpG10 | 7.9(10.2) | 9.1(11.3) | 8.2(10.5) | 9.9(12.8) | 12.5(16.8) | 11.1(14.5) |
| CpG11 | 15.7(4.1) | 15.6(7.1) | 15.9(5.0) | 15.8(3.3) | 15.6(3.4) | 16.2(3.3) |
| CpG12 | 89.8(2.6) | 89.1(2.8) | 89.6(2.7) | 89.3(2.7) | 88.8(3.2) | 89.1(2.9) |
| CpG13 | 45.4(1.3) | 44.7(2.1) | 45.8(1.6) | 45.1(2.0) | 45.2(1.5) | 45.8(1.2) |
| H19 | ||||||
| CpG 2 | 18.8(17.6) | 12.4(7.7) | 16.5(15.7) | 13.3(9.9) | 17.5(12.7) | 15.1(11.3) |
| CpG 3 | 23.1(9.2) | 20.7(7.7) | 22.5(0.08) | 22.3(9.6) | 21.0(10.1) | 21.8(9.8) |
| CpG 4 | 65(15.1) | 54.4(13.0) b | 62.1(15.2) | 63.5(16.0) | 64.8(16.9) | 64.0(16.3) |
| CpG 5 | 57.5(15.2) | 51.4(12.7) | 55.9(14.7) | 55.9(12.1) | 50.9(12.6) | 53.8(12.5) |
| CpG 6 | 39.7(10.0) | 33.9(11.6) | 38.1(10.7) | 40.6(13.8) | 36.2(11.0) | 38.7(12.7) |
| CpG 7 | 24.3(16.2) | 15.2(10.4) | 21.8(15.3) | 19.7(12.0) | 20.1(14.3) | 19.9(12.9) |
| CpG 8 | 37.1(8.4) | 36.9(11.0) | 37.0(9.0) | 35.5(11.3) | 34.3(10.6) | 35.0(10.9) |
| CpG 9 | 49.1(18.3) | 52.7(18.6) | 50.0(18.3) | 52.2(13.3) | 52.2(13.3) | 52.6(14.6) |
| CpG 10 | 40.9(14.6) c | 42.7(18.0) | 41.4(15.4) | 50.3(24.2) | 39.7(16.3) | 45.9(21.8) |
| CpG 11~12 | 37.5(8.6) | 37.9(8.7) | 37.7(8.5) | 36.4(8.6) | 35.4(9.8) | 36.0(9.0) |
| CpG13 | 45.3(26.6) | 52.1(20.1) | 47.0(25.1) | 56.2(30.9) | 53.1(29.3) | 54.9(30.0) |
| CpG14 | 22.3(23.4) | 17.6 (24.4) | 21.0(23.5) | 15.3(16.4) | 13.9(7.9) | 14.7(13.4) |
| CpG15~16 | 31.2 (13.2) | 29.2(11.3) | 30.7(12.6) | 29.5(12.7) | 28.9(14.5) | 29.3(13.4) |
| CpG19~22 | 44.6(24.4) | 36.0(27) | 42.3(25.2) | 35.4(28.7) | 41.2(24.5) | 37.9(26.9)0) |
| CpG 23 | 49.5(17.4) | 37.4(12.9) b | 46.2(17.1) | 47.1(15.3) | 41.4(13.2) | 44.6(14.6) |
| CpG 24 | 42.8(11.5) | 42.1(8.8) | 42.6(10.7) | 40.9(10.3) | 37.0(11.6) | 39.3(10.9) |
| CpG 25 | 36.8(17.7) | 35.9(11.6) | 36.5(16.2) | 36.7(13.3) | 30.2(18.3) | 33.9(15.8) |
| CpG28 | 41.0(14.6) | 42.7(18.0) | 41.5(15.4) | 48.2(25.7) | 37.3(17.2) | 43.6(23.0) |
| CpG29 | 23.1(9.2) | 20.7(7.7) | 22.5(8.8) | 22.3(9.6) | 21.0(10.1) | 21.8(9.8) |
Significance was determined by ANOVA.
b p < 0.05 vs. GDM-NBW
cp < 0.05 vs. NGT-NBW
Fig 3. The Methylation Levels of IGF2/H19 Promoter Region in Umbilical Cord Blood.
(A)The methylation level at sites 1,4,5,6,7~8,9,10 and 11 of IGF2 were lower in GDM group than NGT group. (B) The methylation level at CpG 5,6,and 9 of IGF2 were lower in NGT-M group than NGT-NBW group, CpG 9 was shown the significant difference between NGT-M group and NGT-NBW group and a borderline significant association for CpG 5 and 6 was found in NGT-M and NGT-NBW group. (C) The methylation level at sites 2,3,5,7,8,11~12,14,15~16,19~22,23,24,25 and 29 of H19 gene were higher in GDM group than NGT group. (D) The methylation level at CpG site 10 was shown a borderline significant difference between the GDM-NBW group and NGT-NBW group.The methylation level at CpG 4 and 23 were significantly lower in GDM-M group compared to the GDM-NBW group, and the CpG 7 was shown a borderline significant association between the GDM-M and GDM-NBW group. The methylation level at CpG site 4 was shown a borderline significant difference between the NGT-M group and the GDM-M group. A borderline significant decreased methylation level of CpG sites 10 and 28 of H19 DMR was found in NGT-M group compared to NGT-NBW group. * indicates p<0.05.
Unlike the methylation level of IGF2, increased methylation level at CpG sites 2,3,5,7,8,11~12,14,15~16,19~22,23,24,25 and 29 of H19 DMR was found in GDM group compared to NGT group, and the else 12 sites of H19 DMR was shown lower methylation level in GDM group compared to the NGT group. The methylation level at CpG site 10 was shown a borderline significant difference between the GDM-NBW group and NGT-NBW group(p = 0.05).Moreover, the methylation level of CpG sites 2,3,4,5,6,7,8,14,15~16,19~22,23,24,25 and 29 of H19 gene were lower in GDM-M group than GDM-NBW group, the CpG 4 and 23 was shown significant difference between the two groups(p = 0.025, p = 0,022 respectively, Fig 3D), and the CpG site 7 was shown a borderline significant hypomethylation in GDM-M group compared to the GDM-NBW group (p = 0.058,Fig 3D).The methylation level at CpG site 4 was shown a borderline significant difference between the NGT-M group and the GDM-M group(p = 0.054,Fig 3D).The methylation level at CpG sites 2,4,7,9 and 19~22 of H19 DMR were higher in NGT-M group compared with NGT-NBW group, and the else CpG sites were lower in NGT-M group compared to NGT-NBW group. A borderline significant decreased methylation level of CpG sites 10 and 28 of H19 DMR was found in NGT-M group compared to NGT-NBW group (p = 0.067, p = 0,065 respectively, Fig 3D).
Association among methylation level of IGF2/H19 DNA DMRs, birth weight and related factors
Multivariate linear regression was performed to examine the association among fetal birth weight, DNA methylation and other related factors (Table 4, Table 5). A negative association was seen between methylation of CpG sites 2, 10 and 12 of IGF2 DMR and fetal birth weight in offspring (p = 0.069, p = 0.049, p = 0.037, respectively), and a positive association was seen between CpG sites 15~16 of H19 DMR methylation and fetal birth weight (p = 0.032), yet methylation of CpG sites 23 of H19 DMR showed negative relationship with fetal birth weight (p = 0.017).
Table 4. Linear Regression of IGF2 Methylation on Fetal Birth Weight and Related Impact Indicators.
| CpG 1 | CpG 2 | CpG 6 | CpG10 | CpG 12 | CpG 13 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Factor | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value |
| Prepregenancy BMI | 0.153 | 0.095 | -0.118 | 0.056 | -0.341 | 0.008** | -0.039 | 0.700 | -0.089 | 0.392 | -0.081 | 0.491 |
| Antepartum BMI | 0.101 | 0.341 | -0.262 | 0.014* | -0.345 | 0.006** | 0.053 | 0.594 | -0.008 | 0.940 | -0.001 | 0.991 |
| FPG | 0.092 | 0.396 | -0.062 | 0.562 | -0.302 | 0.020* | -0.030 | 0.767 | 0.073 | 0.48 | -0.162 | 0.166 |
| OGTT 1h | 0.077 | 0.495 | 0.063 | 0.564 | -0.160 | 0.244 | -0.135 | 0.205 | -0.082 | 0.442 | 0.278 | 0.026* |
| OGTT 2h | 0.054 | 0.643 | 0.087 | 0.448 | -0.024 | 0.866 | -0.174 | 0.115 | 0.029 | 0.791 | 0.075 | 0.554 |
| Fetal birth weight | 0.056 | 0.654 | -0.204 | 0.069 | -0.174 | 0.218 | -0.216 | 0.049* | -0.224 | 0.037* | -0.086 | 0.486 |
Linear Mixed Model analysis, FPG; Fasting plasma glucose, BMI; Body mass index, OGTT; Oral glucose tolerance test.
* indicates p<0.05
** indicates p<0.01
Table 5. Linear Regression of H19 Methylation on Fetal Birth Weight and Related Impact Indicators.
| CpG 4 | CpG 14 | CpG 15–16 | CpG 19–22 | CpG 23 | CpG29 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Factor | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value | Coeff | p value |
| Prepregenancy BMI | 0.030 | 0.806 | 0.003 | 0.979 | 0.489 | 0.221 | 0.349 | 0.015* | -0.123 | 0.284 | -0.436 | 0.228 |
| Antepartum BMI | 0.010 | 0.939 | -0.006 | 0.958 | 0.634 | 0.113 | 0.393 | 0.006* | -0.134 | 0.242 | -0.296 | 0.409 |
| FPG | -0.314 | 0.021* | -0.539 | 0.000** | -0.359 | 0.373 | 0.275 | 0.057 | -0.157 | 0.190 | 0.367 | 0.328 |
| OGTT 1h | -0.277 | 0.050* | -0.276 | 0.015* | -0.501 | 0.237 | -0.008 | 0.955 | -0.007 | 0.954 | 0.163 | 0.677 |
| OGTT 2h | -0.314 | 0.021* | -0.539 | 0.000** | -0.359 | 0.373 | 0.275 | 0.057 | -0.157 | 0.190 | 0.367 | 0.328 |
| Fetal birth weight | 0.044 | 0.727 | -0.089 | 0.407 | 0.886 | 0.032* | 0.266 | 0.069 | -0.285 | 0.017* | -0.629 | 0.090 |
Linear Mixed Model analysis, FPG; Fasting plasma glucose, BMI; Body mass index, OGTT; Oral glucose tolerance test.
* indicates p<0.05.
** indicates p<0.01.
A negative association was seen between DNA methylation at CpG sites 6 of IGF2 DMR and FPG of OGTT (p = 0.020), similar association was found between CpG site 13 of IGF2 DMR methylation and glucose of OGTT 1h. DNA methylation of CpG sites 4 and 14 of H19 DMR had a significant negative associated with FPG and glucose of OGTT 1h and 2h (p<0.05, respectively).
Analysis of the association among fetal birth weight related impact factor pre-pregnancy, anterpartum BMI and DNA methylation of IGF2/H19 DMRs was conducted. We found that DNA methylation of CpG sites 2 and 6 of IGF2 DMR showed negative relationship with pre-pregnancy and antepartum BMI (p<0.05).A positive association was seen among DNA methylation of CpG19~22 of H19 DMR, pre-pregnancy and antepartum BMI (p<0.05).
Discussion
In this study, increased expression of IGF2 and decreased expression of H19 in placenta and cord blood were observed in fetuses of GDM group compared to NGT group. Moreover, expression of IGF2 was much higher in NGT-M group than that in NGT-NBW group. Increased expression of IGF2 may be related to high birth weight. A model with interaction term of gene expression of IGF2 and H19 found that IGF2 and the joint action of IGF2 and H19 in placenta showed significantly relationship with GDM/NGT and GDM-NBW/NGT-NBW, a borderline significant association was seen among IGF2 and H19 in cord blood and GDM-M/NGT-M. Our data suggest that altered expression of IGF2/H19 may be among the mechanisms linking maternal GDM and high risk of abnormal growth and development. The gene expression of IGF2 and the joint action of IGF2/H19 in placenta may be associated with maternal GDM. The gene expression of IGF2 and H19 in cord blood may be associated with macrosomia. There are some clinical and animal Zhang S, et al [18] found that elevated IGF2 concentrations were associated with higher birth weight after adjusting for maternal race/ethnicity, pre-pregnancy BMI, cigarette smoking, gestational diabetes, and infant sex in 300 pregnant women in USA, which suggests that IGF2 may continue to play an important role after birth. The results are consistent with our findings.
It is reported that DNA methylation associated changes in gene expression play a pivotal role in fetal and placenta development through two most widely-studied imprinted genes of H19 and IGF2, which are co-regulated within the same locus at human chromosome 11p15 [7,19,20]. IGF2 is highly expressed during prenatal development and its activity is regulated by genomic imprinting. The disrupted methylation of IGF2/H19 is associated with congenital growth disorders [21–23]. H19 DMR methylation may be involved in controlling IGF2 expression. In our study, the methylation level at CpG sites 5, 6 and 9 of IGF2 DMR was significantly lower in NGT-M group than that in NGT-NBW group. Furthermore, multivariate linear regression showed a negative association between CpG sites 2, 10 and 12 of IGF2 DMR methylation and fetal birth weight. Although there is no significant association between methylation level of H19 DMR and fetal high birth weight, a positive association was seen between CpG sites 15~16 of H19 DMR methylation and fetal birth weight. Our data indicate that increased methylation at H19 and decreased methylation at IGF2 might be associated with high birth weight. Consistent with our study, a study on the association of methylation in the IGF2/H19 region with body weight revealed that European and African-American children who are overweight or obese had higher levels of methylation in the H19DMR and lower level of methylation in IGF2 DMR at birth [23]. Previous studies also showed methylation level of H19 DMR was not associated with higher birth weight in infants [21, 22]. Nonetheless, not all studies demonstrate association of the IGF2/H19 methylation with birth weight. For example, Huang et al [24] found a negative association of IGF2/H19 methylation with head circumference but not birth weight or birth length. A study by Burris et al [8] also did not detect an association between birth weight and methylation in the imprinted IGF2/H19 region, but they suggest a potential gene–epigenetic interaction among a T-allele in the imprinting control region (ICR) of IGF2, methylation of IGF2 ICR and fetal growth.
Epigenetic mechanism has been proposed to involve in the link between environmental and nutritional factors and gene expression regulation. Many animal and human studies have illustrated that environment that restricts fetal growth might “program” future chronic disease through influencing epigenetic state in utero [25–26]. Most studies in this area focused on restricted intrauterine nutritional conditions and reported epigenetic modifications in intrauterine growth restriction (IUGR) model [27]. In our study we provide further evidence of intrauterine over-nutritional exposures.
Furthermore, we found relatively decreased methylation level of IGF2 DMR and increased methylation level of H19 DMR in GDM group compared to NGT group. Intrauterine hyperglycemia may affect expression of IGF2/H19 through altering methylation level of IGF2/H19. Consistent with our findings, Sireesha M et al [28] found that hyperglycemia upregulates insulin-like growth factors (IGFs), especially IGF2 in diabetes patients. Polymorphic variation in fetal IGF2 is associated with increased maternal glucose concentrations in pregnancy and this might be partially mediated by changes in placental IGF2 expression [29]. However, animal studies revealed hypermethylation at IGF2 in diabetic offspring. Ding et al [14] observed the expression of Igf2 and H19 was downregulated in pancreatic islets isolated from pups of GDM, and it may be caused by hypermethylation status of the differentially methylated region. The differences in maternal disorder (GDM versus diabetes) and birth weight are the possible factors for the different methylation in IGF2 in human and mice.
Of interest, the methylation level of H19 DMR were lower in GDM-M group than GDM-NBW group, especially the CpG sites 4, 7 and 23. Multivariate linear regression showed that methylation of CpG sites 23 of H19 DMR had significantly negative relationship with fetal birth weight. Moreover, DNA methylation of CpG sites 4 and 14 of H19 DMR had a significant negative association with FPG and glucose of OGTT.1h and 2h. Shao et al [30] reported that expression of IGF2 in fetuses from diabetic mice was 0.65-fold of the control counterparts and the methylation level of the H19-IGF2 imprint control region was 19.1% higher in diabetic dams and body weight of pups born to diabetic dams was 26.5% lower than control dams. It is suggested that hypermethylation of imprint control region (same as DMR) is related to low birth weight of diabetic mothers. In our study we found that hypomethylation of some CpG sites in imprint control region is related to high birth weight of GDM. The mechanisms of the decreased methylation level of H19 are unknown, but differential histone modification has been reported at many imprinted domains.
To our knowledge, there are few studies analyzing the relationship between high birth weight induced by hyperglycemia and alteration of DNA methylation level of imprinting gene. Our results indicate that GDM can affect fetal development by means of altered expression of imprinted genes. The modified genomic DNA methylation status of imprinting genes may account for the change in gene expression.
How intrauterine environmental and nutrition factors affect birth weight and outcomes remains largely unknown and epigenetic data may fill some of these gaps. Elucidating the epigenetic mechanism in pathophysiology of fetal growth will improve perinatal outcomes and be helpful for the obstetrician control birth defects.
The development of embryos exposed to intrauterine hyperglycemia is complex [31]. Hyperglycemia can alter imprinting gene expression, resulting in aberrant cell signaling. The placenta is a fetal-maternal endocrine organ responsible for maintaining and regulating pregnancy stages. Throughout the in utero development of the fetus, the placenta is crucial to growth of the fetus. The placenta can be considered an important and rather accessible record of in utero exposures and pathology. In future experiments, the study of the methylation level in placenta which is directly responsible for fetal growth might be useful to clarify the relationship between DNA methylation and birth weight [32, 33]. The relationship between altered methylation level of specific sites of IGF2 and H19 and hyperglycemia should be investigated in depth in animal and cell studies.
Conclusion
GDM can affect fetal development by increasing fetal birth weight. We confirmed the existence of alteration in DNA methylation in umbilical cord blood exposed to intrauterine hyperglycemia and reported a functional role in regulating gene associated with IGF2/H19. Both of these might be the underlying pathogenesis of macrosomia. We also provided the evidence of strong associations between methylation of IGF2/H19 DMRs and macrosomia induced by intrauterine hyperglycemia.
Acknowledgments
We are grateful to Song YL, Wang W, Li BY, Wang S and Zhang CY for their assistance with collecting the clinical data.
Abbreviations
- GDM
gestational diabetes mellitus
- IGF2
insulin-like growth factor 2
- DMR
differentially methylated region
- OGTT
oral glucose tolerance test
- PBMCs
Peripheral blood mononuclear cell
- FPG
fasting plasma glucose
- BMI
body mass index
Data Availability
All relevant data are within the paper.
Funding Statement
This study was supported by the National Natural Science Foundation of China (81341020).
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Data Availability Statement
All relevant data are within the paper.