Intro
Gestational diabetes mellitus (GDM), one of the most common medical complications of pregnancy, is defined as a state restricted to pregnant women whose impaired glucose tolerance is first discovered during pregnancy. 1 , 2 The International Diabetes Federation (IDF) reported that the pooled global standardized prevalence of GDM was 14% and the regional standardized prevalence of GDM varied from 7.1% to 27.6%. 3 GDM not only increases the risk of pregnancy complications and adverse perinatal outcomes such as premature delivery, preeclampsia, and macrosomia but also affects the long-term health of the mother and fetus, leading to a higher risk of metabolic disorders in the future. 4 , 5 Therefore, an increasing number of studies have focused on finding risk factors for GDM that may help predict and prevent GDM.
Serum uric acid (UA) is a water-soluble antioxidant mainly produced by the liver that has been shown to directly inhibit the damage caused by free radicals and also to protect cell membranes. 6 , 7 Elevated UA levels are thought to be an intermediary factor in adipose tissue that regulates endocrine disorders that promote inflammation, and may be an influential factor leading to metabolic disorders. 1 Previous studies have reported an association between UA and increased risk of insulin resistance and type 2 diabetes in the general population, but the relationship between UA and risk of GDM is controversial and relatively limited. 8 , 9 Some researchers have claimed that the inconsistent conclusions may be due to differences in renal function since the UA levels might be influenced by SCr, leading to alterations in UA levels independently of metabolic changes, which could affect the interpretation of UA. 10 Therefore, the UA:SCr ratio could be a better predictor representing renal function-normalized SUA. The UA:SCr ratio has been reported as an indicator related to metabolic and cardiovascular diseases, 11–14 nonalcoholic fatty liver disease, 15 risk of stroke recurrence, 16 preeclampsia, 17 , 18 adverse pregnancy outcomes, 19 and even all-cause mortality. 20 However, the relationship between the UA:SCr ratio and GDM remains unclear.
Thyroid function is closely related to metabolism, and thyroid dysfunction during pregnancy can increase the incidence of complications of pregnancy and adverse perinatal outcomes, as well as affect infant thyroid function and growth. 21 Recently, several researchers found that different levels of thyroid function, even within normal range, might affect maternal metabolism and infant growth. 22 Low thyroid function within the reference range may have a negative effect on cognitive function, 23 and a negative association with the risk of GDM was observed for the highest free thyroxine (FT 4 )-concentration tertile even in normal range. 24 However, other researchers have found that pregnancy outcomes are not altered by variation in thyroid function within the normal range in women free of thyroid disease. 25
While previous studies have examined the relationship between the UA:SCr ratio and GDM or thyroid function separately, the interplay among these three factors in early pregnancy remains poorly understood. Some studies have pointed to a correlation between thyroid hormone and UA levels, but this correlation remains controversial, 26 , 27 providing a new perspective on our understanding of metabolic interactions and risk of GDM in early pregnancy. Based on these studies, we hypothesized that the UA:SCr ratio and euthyroid function were associated with the risk of GDM and that the interaction between them might contribute to metabolism during early pregnancy. Therefore, this study aimed to investigate the relationship between the UA:SCr ratio, euthyroid function, and the risk of GDM during early pregnancy in a cohort of Chinese women.
Methods
This was a prospective bicenter cohort study started in 2019 in Haidian District Maternal and Child Health Care Hospital and Chaoyang District Maternal and Child Health Care Hospital, Beijing, China. All pregnant women with records in the two hospitals matching the inclusion criteria were asked to take part in the study. For all participants in the present study, all available clinical and laboratory data were recorded and verified by two researchers at the same time.
The ethics committees of all participating centers approved the study protocol. The study was conducted under the guidance of the Major New Drugs Innovation and Development Program (clinical trial NCT03246295 ). Written informed consent was obtained from each participant, and the study was performed in accordance with the Declaration of Helsinki as revised in 2013.
Inclusion criteria were: (1) gestation age at entry <12 weeks; (2) without DM before pregnancy; and (3) acceptance to participate in the study and a signed consent form. Exclusion criteria were: (1) double or multiple pregnancy; (2) fasting blood glucose ≥5.1 mmol/L at baseline; and (3) any acute or other chronic disease, such as severe liver and renal dysfunction, heart disease, or autoimmune disease.
Sample-size calculations in the primary study were focused on the prediction value of variables for GDM (two-tailed at 5% significance). We required a sample size of 667 (assuming five risk factors and a 15% indication rate of GDM), rising to 741 when allowing for a 10% loss to follow-up. The effect size between the UA:SCr ratio and euthyroid function was considered small based on a previous study. To have 80% power to detect the association between the UA:SCr ratio and euthyroid function, the total sample size calculated was 395 (power 0.8, α =0.05, two-tailed, and 5% significance). A moderate effect size was assumed for the association between the UA:SCr ratio and the risk of GDM, the sample size for GDM was calculated to be 55, and the total sample size was 366. On this basis, a total of 958 pregnant women with clinical and laboratory data at 6–12 weeks’ gestation and 75 g oral glucose tolerance test (OGTT) at 24–28 weeks’ gestation were included in the present study. A perinatal database of 802 women was collected from electronic health records.
Participants were measured for body weight and height at the first prenatal visit (6–12 weeks’ gestation), and body weight was monitored during the whole course. Body mass index (BMI) was determined by dividing body weight in kilograms by height in meters squared based on measurements taken by trained nurses at the first prenatal visit. Measurements of systolic blood pressure and diastolic blood pressure were taken by trained nurses with an automatic blood pressure monitor. Previous adverse pregnancy outcomes (including embryo damage and spontaneous abortion) were asked by attending doctors and recorded in electronic health records. Fasting blood samples were collected at the first prenatal visit to examine liver function (including alanine aminotransferase, aspartate aminotransferase, and total bilirubin), renal function (including serum creatine, UA, and urea nitrogen), and thyroid function (FT 4 , thyroid stimulating hormone [TSH], and thyroid peroxidase antibodies). Free triiodothyronine (FT 3 ) could not be analyzed, since routine thyroid function screening during pregnancy at the study hospitals does not include FT 3 . Euthyroid function was defined as a TSH and FT 4 concentration within the normal range of the 2.5thto 97.5th percentile. 28 The 75 g OGTT was conducted in all participants during 24–28 weeks’ gestation, and GDM was diagnosed according by the International Association of the Diabetes and Pregnancy Study Groups criterion in 2010: fasting plasma glucose ≥5.1 mmol/L, but <7 mmol/L; 1 h plasma glucose ≥10 mmol/L; or 2 h plasma glucose ≥8.5 mmol/L. 29 Perinatal and neonatal outcomes were pregnancy-induced hypertension (including preeclampsia or eclampsia), premature delivery (<37 weeks), cesarean section, postpartum hemorrhage (blood loss from the genital tract ≥500 mL after giving birth), 30 LGA (large for gestational age), and SGA (small for gestational age).
Fasting blood samples were sent to Peking Union Medical College Hospital to examine fasting blood glucose, fasting insulin, and fasting C-peptide. The 75 g OGTT was administered at each maternal and child health-care hospital after overnight fasting (blood samples were obtained at fasting and 1 h and 2 h after glucose overload). UA was detected by the coupled uricase–peroxidase method and SCr by the sarcosine oxidase method (Beckman AU680). Thyroid function was detected by electrochemiluminescent technique (Roche Cobas e601, Roche diagnostic).
All analyses were conducted using the statistical program SPSS (version 24, SPSS, Chicago, IL) and G*Power 3.1. Continuous variables were tested for normality of distribution. Variables with approximately normal distributions were presented as mean ± SD (including age, BMI, systolic blood pressure, and diastolic blood pressure), and the other with skewed distributions were presented as median (interquartile range). Categorical variables were presented as percentage (number). Two-sample Student t test was used for continuous variables with approximately normal distributions. Mann–Whitney test was used for continuous variables with skewed distributions. χ 2 test was used for categorical variables. The linear trend was calculated by linear-by-linear association tested to determine whether there was a significant graded increase in glucose & lipids level, thyroid function and the risk of GDM with increasing UA:SCr ratio quartiles. The association of UA:SCr ratio and thyroid function as well as GDM were examined by linear regression analysis and binary logistic regression analysis, respectively. To assess confounding, we did stratified analysis by separately examining each of four preBMI groups and covariates (age, family history of DM and parity) were entered into the logistic regression model. Statistical significance was inferred from two-sided P values <0.05.
Results
Among the 958 women in this cohort, GDM incidence was 19.3% (185/958) and 802 had perinatal outcomes. The baseline characteristics, perinatal outcomes, and neonatal characteristics of those with GDM and normal glucose tolerance (NGT) are presented in Table 1 . Age, BMI during the first and second trimester, alanine aminotransferase, total cholesterol, triglyceride, low-density-lipoprotein cholesterol, fasting glucose in first trimester, insulin, C-peptide, blood glucose level during OGTT, UA, SCr, UA:SCr ratio, rate of pregnancy-induced hypertension, premature delivery, and cesarean delivery were all significantly higher in the GDM group than the NGT group. FT 4 , TSH, and the percentage of positive TPOAb were similar in two groups. Stratification analysis based on preBMI quartiles showed a UA:SCr ratio in the GDM group in the highest preBMI quartile that was significantly higher than that in the NGT group, while FT 4 in the GDM group in the highest preBMI quartile was significantly lower (median 5.22, IQR 4.47–5.87 vs median 4.87, IQR 4.05–5.61, P =0.04; median 1.13, IQR 1.02–1.28 vs median 1.18, IQR 1.07–1.32, P =0.02) ( Supplementary Table 1 ). Table 1 Baseline characteristics, neonatal characteristics, and perinatal outcomes in women with and without GDM Variables GDM (n=185) NGT (n=773) P Age (years) 31.58±3.85 29.97±3.84 <0.001 PreBMI (kg/m 2 ) 23.21±3.31 21.87±3.02 <0.001 BMI in second trimester (kg/m 2 ) 25.43±3.33 24.19±3.07 <0.001 BMI in third trimester (kg/m 2 ) 27.15±3.34 26.77±3.04 0.174 Previous adverse pregnancy outcomes 21.6% (40) 20.4% (158) 0.721 SBP (mmHg) 115.81±8.87 115.33±8.35 0.523 DBP (mmHg) 74.64±6.98 74.07±6.64 0.329 ALT (U/L) 16 (11–21) 12 (10–18) <0.001 AST (U/L) 16 (15–19) 16 (14–19) 0.274 TBil (µmol/L) 9.8 (8.3–12.5) 10.4 (8.4–12.8) 0.157 TC (mmol/L) 4.24 (3.57–4.70) 3.96 (3.56–4.48) 0.023 TG (mmol/L) 1.00 (0.75–1.44) 0.86 (0.66–1.17) <0.001 HDL-C (mmol/L) 1.46 (1.25–1.63) 1.48 (1.27–1.60) 0.126 LDL-C (mmol/L) 2.16 (1.77–2.65) 2.03 (1.72–2.40) 0.011 Glucose (mmol/L) 4.50 (4.20–5.10) 4.40 (4.00–4.80) <0.001 Insulin (µIU/mL) 7.80 (5.00–11.90) 6.20 (4.20–8.40) <0.001 C-peptide (ng/dL) 1.04 (0.77–1.35) 0.84 (0.65–1.11) <0.001 HOMA-IR 1.64 (1.04–2.37) 1.19 (0.82–1.72) <0.001 OGTT FBG (mmol/L) 5.12 (4.65–5.33) 4.55 (4.35–4.76) <0.001 1 h BG (mmol/L) 9.81 (8.51–10.51) 7.37 (6.29–8.16) <0.001 2 h BG (mmol/L) 8.30 (7.18–9.11) 6.34 (5.67–7.04) <0.001 UA (µmol/L) SCr (µmol/L) UA:SCr ratio 217 (191.16–268.00) 47.21 (42.00–52.40) 4.68 (3.96–5.49) 204 (176.70–236.90) 46.5 (43.00–50.30) 4.35 (3.76–5.08) <0.001 0.192 0.001 FT 4 (ng/dL) 1.20 (1.07–1.37) 1.21 (1.08–1.37) 0.369 TSH (µIU/mL) 1.80 (1.12–2.41) 1.61 (0.97–2.44) 0.108 TPOAb (IU/mL) 9.4% (15/160) 12.2% (87/714) 0.317 Perinatal outcomes n=158 n=644 PIH 13.3% (21) 8.1% (52) 0.041 Premature delivery 8.2% (13) 3.3% (21) 0.005 Cesarean delivery 45.6% (72) 27.2% (175) <0.001 PPH 17.7% (28) 14.1% (91) 0.255 Neonatal outcomes n=158 n=644 Birth age (weeks) 39.00 (38.29–39.86) 39.57 (38.79–40.29) <0.001 Birth weight (g) 3305 (3010–3560) 3290 (3010–3545) 0.862 LGA 15.8% (25) 10.7% (69) 0.074 SGA 7.0% (11) 6.4% (41) 0.785 Notes : Variables presented as means ± SD, median (interquartile range), or percentage (number). Previous adverse pregnancy outcomes included embryo damage and spontaneous abortion. Normal range: FT 4 0.93–1.71 ng/dL, TSH 0.27–4.2 µIU/mL, TPOAb 0–34 IU/mL. n represents participant numbers in each group. Since the primary outcomes were the prevalence and risk factors of GDM in this cohort study, perinatal and neonatal outcomes were not recorded in some participants. P <0.05 represents significant differences between two groups. Abbreviations : GDM, gestational diabetes mellitus; NGT, normal glucose tolerance; BMI, body mass index; preBMI, prepregnancy BMI; SBP, systolic blood pressure; DBP, diastolic blood pressure; ALT, alanine aminotransferase; AST, aspartate aminotransferase; TBil, total bilirubin; TC, total cholesterol; TG, triglyceride; LDL-C, low-density-lipoprotein cholesterol; HDL-C, high-density-lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; OGTT, oral glucose tolerance test; FBG, fasting blood glucose; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone; TPOAb, thyroid peroxidase antibodies; PIH, pregnancy-induced hypertension; PPH, postpartum hemorrhage; LGA, large for gestational age; SGA, small for gestational age.
Baseline characteristics, neonatal characteristics, and perinatal outcomes in women with and without GDM
Notes : Variables presented as means ± SD, median (interquartile range), or percentage (number). Previous adverse pregnancy outcomes included embryo damage and spontaneous abortion. Normal range: FT 4 0.93–1.71 ng/dL, TSH 0.27–4.2 µIU/mL, TPOAb 0–34 IU/mL. n represents participant numbers in each group. Since the primary outcomes were the prevalence and risk factors of GDM in this cohort study, perinatal and neonatal outcomes were not recorded in some participants. P <0.05 represents significant differences between two groups.
Abbreviations : GDM, gestational diabetes mellitus; NGT, normal glucose tolerance; BMI, body mass index; preBMI, prepregnancy BMI; SBP, systolic blood pressure; DBP, diastolic blood pressure; ALT, alanine aminotransferase; AST, aspartate aminotransferase; TBil, total bilirubin; TC, total cholesterol; TG, triglyceride; LDL-C, low-density-lipoprotein cholesterol; HDL-C, high-density-lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; OGTT, oral glucose tolerance test; FBG, fasting blood glucose; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone; TPOAb, thyroid peroxidase antibodies; PIH, pregnancy-induced hypertension; PPH, postpartum hemorrhage; LGA, large for gestational age; SGA, small for gestational age.
To examine glucose and lipid metabolism, thyroid function, and risk of GDM according to UA:SCr ratio in the first trimester in further detail, subjects were divided into quartiles of UA:SCr ratio based on their distribution (quartile 1, ≤3.79; quartile 2, 3.79–4.41; quartile 3, 4.41–5.20; and quartile 4, ≥5.20) ( Table 2 ). The linear trends of FT 4 levels, triglyceride, high-density-lipoprotein cholesterol, low-density-lipoprotein cholesterol, fasting blood glucose in first trimester, insulin, C-peptide, homeostasis model assessment of insulin resistance, plasma glucose levels during OGTT, and incidence of GDM according to UA:SCr ratio quartiles were all statistically significant. The incidence of GDM in the third quartile of UA:SCr ratio was up to 28.7% (68/237). Table 2 Metabolism variables according to UA:SCr ratio quartiles UA/SCr Quartiles Quartile 1 Quartile 2 Quartile 3 Quartile 4 P for linear trend n 244 237 240 237 — UA:SCr ratio range ≤3.79 3.79–4.41 4.41–5.20 ≥5.20 — OGTT FBG (mmol/L) 4.56 (4.35–4.80) 4.60 (4.37–4.82) 4.63 (4.40–4.85) 4.65 (4.40–4.89) 0.002 1 h BG (mmol/L) 7.65 (6.42–8.43) 7.40 (6.33–8.43) 7.66 (6.54–8.61) 7.84 (6.80–8.87) 0.005 2 h BG (mmol/L) 6.61 (5.80–7.25) 6.26 (5.58–7.12) 6.48 (5.86–7.40) 6.91 (5.95–7.74) <0.001 GDM 15.2% (37) 15.6% (37) 17.9% (43) 28.7% (68) <0.001 TC (mmol/L) 3.92 (3.41–4.47) 3.98 (3.57–4.51) 3.98 (3.60–4.50) 4.12 (3.68–4.60) 0.138 TG (mmol/L) 0.79 (0.65–1.00) 0.87 (0.66–1.14) 0.89 (0.67–1.23) 1.06 (0.77–1.47) <0.001 HDL-C (mmol/L) 1.47 (1.26–1.68) 1.51 (1.29–1.73) 1.48 (1.31–1.67) 1.41 (1.22–1.65) 0.020 LDL-C (mmol/L) 1.98 (1.68–2.30) 2.02 (1.76–2.39) 2.07 (1.71–2.51) 2.13 (1.76–2.56) 0.022 Glucose (mmol/L) 4.45 (4.10–4.90) 4.50 (4.10–5.00) 4.40 (4.00–4.80) 4.30 (4.00–4.70) 0.004 Insulin (µIU/mL) 5.50 (3.70–7.70) 5.90 (4.30–8.00) 6.85 (4.50–9.30) 7.70(5.10–10.40) <0.001 C-peptide (ng/dL) 0.75 (0.62–1.00) 0.81 (0.63–1.07) 0.88 (0.68–1.20) 1.01 (0.76–1.38) <0.001 HOMA-IR 1.08 (0.75–1.65) 1.15 (0.83–1.72) 1.31 (0.87–1.87) 1.51 (1.02–2.06) <0.001 FT 4 (ng/dL) 1.24 (1.11–1.39) 1.23 (1.10–1.38) 1.20 (1.06–1.34) 1.15 (1.06–1.33) 0.030 TSH (µIU/mL) 1.60 (0.94–2.30) 1.13 (0.52–2.40) 1.68 (1.13–2.36) 1.60 (1.02–2.44) 0.391 Notes : Variables presented as median (interquartile range) or percentage (number). n represents participant numbers in each group. P <0.05 represents significant differences between two groups. Abbreviations : UA, serum uric acid; SCr, serum creatinine; GDM, gestational diabetes mellitus; TC, total cholesterol; TG, triglyceride; LDL-C, low-density-lipoprotein cholesterol; HDL-C, high-density-lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; OGTT, oral glucose tolerance test; FBG, fasting blood glucose; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
Metabolism variables according to UA:SCr ratio quartiles
Notes : Variables presented as median (interquartile range) or percentage (number). n represents participant numbers in each group. P <0.05 represents significant differences between two groups.
Abbreviations : UA, serum uric acid; SCr, serum creatinine; GDM, gestational diabetes mellitus; TC, total cholesterol; TG, triglyceride; LDL-C, low-density-lipoprotein cholesterol; HDL-C, high-density-lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; OGTT, oral glucose tolerance test; FBG, fasting blood glucose; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
Linear regression was used to examine the association of UA:SCr ratio and thyroid function within normal ranges ( Table 3 ). FT 4 and TSH were not associated with UA:SCr according to preliminary analysis. However, analysis based on preBMI quartiles showed that FT 4 was positively related to UA:SCr ratio in women in the third preBMI quartile ( β =0.636, 95% CI 0.210–1.061, P =0.004) and the correlation was still significant after adjustment for age ( β =0.659, 95% CI 0.231–1.087, P =0.003). FT 4 was significantly negatively related to UA:SCr ratio ( β =-0.263, 95% CI −0.516 to −0.011, P =0.041), and TSH was significantly positively related to UA:SCr ratio ( β =0.131, 95% CI 0.008–0.253, P =0.036) in women with the highest preBMI quartile. Table 3 Association of euthyroid function and UA:SCr ratio based on BMI Variables Model 1 — unadjusted Model 2 — adjusted by age β (95% CI) P β (95% CI) P Total FT 4 (ng/dL) −0.105 (−0.238 to 0.028) 0.122 −0.102 (−0.236 to 0.031) 0.134 TSH (µIU/mL) 0.020 (−0.030 to 0.070) 0.424 0.020 (−0.027 to 0.011) 0.427 PreBMI: quartile 1 FT 4 (ng/dL) −0.068 (−0.260 to 0.124) 0.487 −0.068 (−0.260 to 0.124) 0.488 TSH (µIU/mL) 0.018 (−0.053 to 0.090) 0.610 0.017 (−0.054 to 0.089) 0.636 PreBMI: quartile 2 FT 4 (ng/dL) −0.133 (−0.396 to 0.131) 0.322 −0.130 (−0.393 to 0.132) 0.104 TSH (µIU/mL) −0.019 (−0.114 to 0.077) 0.703 −0.023 (−0.118 to 0.073) 0.642 PreBMI: quartile 3 FT 4 (ng/dL) 0.636 (0.210–1.061) 0.004 0.659 (0.231–1.087) 0.003 TSH (µIU/mL) −0.065 (−0.174 to 0.044) 0.243 −0.067 (−0.176 to 0.420) 0.227 PreBMI: quartile 4 FT 4 (ng/dL) −0.277 (−0.528 to −0.025) 0.031 −0.263 (−0.516 to −0.011) 0.041 TSH (µIU/mL) 0.135 (0.012–0.257) 0.031 0.131 (0.008–0.253) 0.036 Notes : Model 1: unadjusted. Model 2: adjusted by age. Abbreviations : UA, serum uric acid; SCr, serum creatinine; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
Association of euthyroid function and UA:SCr ratio based on BMI
Notes : Model 1: unadjusted. Model 2: adjusted by age.
Abbreviations : UA, serum uric acid; SCr, serum creatinine; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
The crude and multivariate-adjusted relative risk (RR) of GDM determined by UA:SCr ratio and thyroid function is shown in Table 4 and Table 5 . Higher UA:SCr ratio was associated with increased risk of GDM, even after adjustment for age and family history of DM and parity (RR 0.226, 95% CI 1.097–1.432, P =0.001). However, further analysis showed the relationship between UA:SCr ratio and GDM was significant only in women in the highest preBMI quartile (RR 0.331, 95% CI 1.094–1.772, P =0.007). Similarly, higher FT 4 was associated with decreased risk of GDM in those in the highest preBMI quartile (RR −0.533, 95% CI 0.055–0.853, P =0.029). However, interaction effect analysis showed there was no interaction effect between preBMI, UA:SCr ratio, FT 4 . Table 4 Association between UA:SCr ratio and GDM based on BMI Variables Model 1 Model 2 Model 3 Interaction effect RR (95% CI) P RR (95% CI) P RR (95% CI) P P Total 0.218 (1.091–1.418) 0.001 0.230 (1.102–1.437) 0.001 0.226 (1.097– 1.432) 0.001 0.068 PreBMI: quartile 1 0.043 (0.674–1.617) 0.847 0.033 (0.650–1.642) 0.890 0.038 (0.654– 1.648) 0.873 0.849 PreBMI: quartile 2 −0.042 (0.717–1.282) 0.778 −0.036 (0.720–1.291) 0.808 −0.026 (0.723– 1.312) 0.863 0.397 PreBMI: quartile 3 0.140 (0.881–1.503) 0.304 0.161 (0.897–1.539) 0.242 0.164 (0.900– 1.542) 0.234 0.683 PreBMI: quartile 4 0.324 (1.100–1.739) 0.005 0.354 (1.131–1.795) 0.003 0.331 (1.094– 1.772) 0.007 0.457 Notes : Interaction effects of UA:SCr and PreBMI for risk of GDM were evaluated. Model 1: unadjusted. Model 2: adjusted by age. Model 3: adjusted by age, family history of diabetes mellitus, and parity. Abbreviations : UA, serum uric acid; SCr, serum creatinine; BMI, body mass index; preBMI, prepregnancy BMI; GDM, gestational diabetes mellitus; RR, relative risk.
Table 5 Association between thyroid function and GDM based on BMI Variables Model 1 Model 2 Model 3 Interaction effect RR (95% CI) P RR (95% CI) P RR (95% CI) P P Total FT 4 (ng/dL) −0.458 (0.346–1.157) 0.137 −0.509 (0.323–1.118) 0.108 −0.535 (0.311–1.104) 0.098 0.141 TSH (µIU/mL) 0.054 (0.954–1.168) 0.291 0.059 (0.959–1.175) 0.253 0.061 (0.960–1.177) 0.238 0.405 PreBMI: quartile 1 FT 4 (ng/dL) −0.253 (0.202–2.987) 0,713 −0.241 (0.187–3.300) 0.742 −0.262 (0.177–3.350) 0.727 0.875 TSH (µIU/mL) −0.010 (0.768–1.277) 0.940 −0.071 (0.709–1.223) 0.608 −0.091 (0.688–1.211) 0.527 0.779 PreBMI: quartile 2 FT 4 (ng/dL) −0.024 (0.527–1.809) 0.977 −0.025 (0.527–1.805) 0.937 −0.005 (0.540–1.834) 0.987 0.345 TSH (µIU/mL) 0.085 (0.897–1.320) 0.390 0.086 (0.899–1.323) 0.381 0.079 (0.896–1.316) 0.426 0.105 PreBMI: quartile 3 FT 4 (ng/dL) −0.084 (0.340–2.481) 0.868 −0.239 (0.282–2.196) 0.648 −0.268 (0.279–2.101) 0.603 0.369 TSH (µIU/mL) 0.121 (0.905–1.407) 0.283 0.159 (0.931–1.475) 0.176 0.201 (0.962–1.554) 0.101 0.086 PreBMI: quartile 4 FT 4 (ng/dL) −1.329 (0.073–0.963) 0.044 −1.449 (0.062–0.883) 0.032 −1.533 (0.055–0.853) 0.029 0.225 TSH (µIU/mL) 0.021 (0.822–1.270) 0.846 0.037 (0.832–1.294) 0.741 0.062 (0.848–1.335) 0.593 0.111 Notes : Interaction effects of euthyroid function and PreBMI were evaluated. Model 1: unadjusted. Model 2: adjusted by age. Model 3: adjusted by age, family history of diabetes mellitus, and parity. Abbreviations : GDM, gestational diabetes mellitus; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
Association between UA:SCr ratio and GDM based on BMI
Notes : Interaction effects of UA:SCr and PreBMI for risk of GDM were evaluated. Model 1: unadjusted. Model 2: adjusted by age. Model 3: adjusted by age, family history of diabetes mellitus, and parity.
Abbreviations : UA, serum uric acid; SCr, serum creatinine; BMI, body mass index; preBMI, prepregnancy BMI; GDM, gestational diabetes mellitus; RR, relative risk.
Association between thyroid function and GDM based on BMI
Notes : Interaction effects of euthyroid function and PreBMI were evaluated. Model 1: unadjusted. Model 2: adjusted by age. Model 3: adjusted by age, family history of diabetes mellitus, and parity.
Abbreviations : GDM, gestational diabetes mellitus; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone.
The association between euthyroid function and risk of GDM based on UA:SCr ratio quartiles is shown in Table 6 . Preliminary analysis showed euthyroid function was not associated with risk of GDM. However, after adjusted for confounding factors, including age, preBMI, and family history of DM and parity, FT 4 was associated with GDM in pregnant women in the highest UA:SCr ratio quartile (RR 0.052, 95% CI 1.010–1.096, P =0.012), and there was an interaction effect between FT 4 and UA:SCr ratio in relation to the risk of GDM in the highest UA:SCr ratio quartile ( P =0.02). Table 6 Association between thyroid function and GDM based on UA:SCr ratio Variables Model 1 Model 2 Interaction Effect RR (95% CI) P RR (95% CI) P P UA:SCr — quartile 1 FT4 (ng/dL) −0.223 (0.379–1.688) 0.558 −0.002 (0.953–1.045) 0.937 0.650 TSH (µIU/mL) −0.147 (0.632–1.179) 0.355 −0.144 (0.629–1.192) 0.377 0.876 UA:SCr — quartile 2 FT 4 (ng/dL) 0.219 (0.340–4.555) 0.741 −0.004 (0.951–1.043) 0.862 0.637 TSH (µIU/mL) 0.060 (0.810–1.392) 0.666 0.039 (0.785–1.378) 0.787 0.780 UA:SCr — quartile 3 FT 4 (ng/dL) −0.524 (0.165–2.126) 0.422 −0.012 (0.944–1.034) 0.601 0.457 TSH (µIU/mL) 0.010 (0.850–1.199) 0.913 0.029 (0.863–1.228) 0.747 0.669 UA:SCr — quartile 4 FT 4 (ng/dL) −0.664 (0.185–1.428) 0.202 0.052 (1.010–1.096) 0.012 0.002 TSH (µIU/mL) 0.176 (0.991–1.436) 0.063 0.146 (0.954–1.403) 0.138 0.069 Notes : Interaction effects of euthyroid function and UA:SCr ratio were evaluated. Model 1: unadjusted. Model 2: adjusted by age. PreBMI, family history of diabetes mellitus and parity. Abbreviations : GDM, gestational diabetes mellitus; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone; UA, serum uric acid; SCr, serum creatinine.
Association between thyroid function and GDM based on UA:SCr ratio
Notes : Interaction effects of euthyroid function and UA:SCr ratio were evaluated. Model 1: unadjusted. Model 2: adjusted by age. PreBMI, family history of diabetes mellitus and parity.
Abbreviations : GDM, gestational diabetes mellitus; BMI, body mass index; preBMI, prepregnancy BMI; FT 4 , free thyroxine; TSH, thyroid-stimulating hormone; UA, serum uric acid; SCr, serum creatinine.
Discussion
In this prospective bicenter cohort study, we found that the UA:SCr ratio and FT 4 in normal ranges were associated with the risk of GDM and that there was interaction effect between the UA:SCr ratio and FT4. The relationship between the UA:SCr ratio and euthyroid function was also observed in women in the third and fourth quartiles of preBMI. These findings imply that both UA:SCr ratio and FT4 are implicated in metabolic regulation during early pregnancy, and their interplay might influence glucose metabolism. To the best of our knowledge, this is the first study to examine the association between UA:SCr ratio and thyroid function within the normal range and the risk of GDM.
UA is the final oxidation product of purine metabolism and is closely related to metabolic disease. However, the relationship between UA levels and GDM remains controversial. 31 A cohort study of 85,609 pregnant women found UA levels at 13–18 weeks’ gestation were significantly higher in the GDM group. 32 However, Güngör ES et al reported SCr was significantly higher in women with GDM, whereas UA was similar in women with or without GDM. 33 However, increased UA commonly occurs as a consequence of renal dysfunction, and some previous studies have ignored the effect of renal function on UA. 34–36 The UA:SCr ratio, which represents renal function-normalized SUA, is associated with diverse adverse outcomes. 37 Therefore, we consider the UA:SCr ratio a better indicator to evaluate UA level, as endogenous UA depends primarily on renal clearance function. Previous studies have reported that the UA:SCr ratio was an independent risk factor of cardiovascular disease and metabolic disease, and was even associated with total and cause-specific mortality in large populations. 38 A prospective study enrolled 96,378 participants from the Kailuan study without stroke and myocardial infarction at baseline and found that the highest-quartile UA:SCr ratio was associated with the highest risk of cardiovascular disease and stroke. 37 Chao et al found a significant positive correlation existed between UA:SCr ratio and metabolic syndrome risk in Chinese individuals aged ≥45 years and claimed it could be a new predictive marker for metabolic syndrome risk. Baseline UA:SCr ratio was independently and significantly associated with preserved β-cell function and future renal function decline among diabetic patients. 39 , 40 The increase in oxidative stress associated with UA:SCr ratio can lead to senescence and apoptosis in human umbilical vein endothelial cells. 41 Previous studies have reported that UA:SCr ratio was associated with certain adverse health outcomes in specific conditions, such as metabolic syndrome in postmenopausal women or diabetic patients, chronic kidney disease in diabetic individuals, and liver function in normal subjects. 37 To our knowledge, the association between UA:SCr ratio and glucose and lipid metabolism during pregnancy has not yet been characterized. In this study, fasting glucose levels, lipid levels, and insulin resistance all showed an increasing trend with the UA:SCr ratio across the four groups. These changes might not be clinically significant in the short term since the values remained within normal limits, but they imply that UA:SCr ratios were associated with metabolic status during early pregnancy, and this ratio’s long-term influence deserves further investigation.
An increasing number of epidemiological studies have shown elevated serum UA levels in patients with polycystic ovary syndrome, endometriosis, etc. 42 , 43 Serum UA in preeclampsia was significantly associated with both maternal (cesarean section and severe hypertension) and adverse neonatal (low birth weight) outcomes, which seems clinically useful in predicting pregnancy outcomes. 44 Some studies have reported UA:SCr ratio as a new marker of preeclampsia. 17 However, the evidence for the effect of UA on GDM remains controversial, and few studies have reported the relationship between UA:SCr and GDM. In this study, both UA and UA:SCr ratios were significantly higher in women with GDM and we found that the UA:SCr ratio was associated with the risk of GDM, but the relationship was only found in those in the highest preBMI quartile. Elevated level of SUA can induce inflammation and oxidative stress, 45 and fructose-induced hyperuricemia is believed to mediate fructose-induced insulin resistance, 46 leading to insulin resistance and decreased glucose uptake. 47 At the same time, it was acknowledged that BMI was closely related to UA and GDM. We assume that BMI has a stronger effect on GDM and that the UA:SCr ratio can further increase the risk of GDM only when the effect of BMI on GDM reaches a plateau.
It is acknowledged that abnormal thyroid function can influence the metabolism during pregnancy. 28 , 48–51 However, the association between thyroid function in the normal range and risk of GDM is controversial. 24 , 52 A longitudinal study of 2927 singleton pregnant women found that higher FT 3 and FT 4 and lower central thyroid resistance indices were associated with increased risk of GDM. 53 Veltri et al found that pregnancy outcomes were not altered by variation in thyroid function within the normal range in women free of thyroid disease. 25 In this study, we found that FT 4 in the GDM group among women in the highest preBMI quartile was significantly lower than that in the NGT group. FT 4 was associated with risk of GDM among women in the highest preBMI quartile and UA:SCr ratio quartile. Further analysis implied that an interaction between UA:SCr ratio and FT 4 might affect glucose metabolism during early pregnancy. However, due to the lack of FT 3 , further analysis and the potential mechanism of euthyroid function were limited. Although the detailed mechanism remains unclear, these findings suggest the complex pathogenesis of GDM and highlight the need for the detection of additional factors to better prevent GDM. A more comprehensive understanding of these factors could lead to improved risk assessment and early intervention strategies.
Previous studies have suggested that there might be a positive correlation between serum UA levels and hyperthyroidism, but the relationship between euthyroid function and serum UA in healthy people is controversial. A study of 4460 participants reported decreased sensitivity to thyroid hormones was associated with elevated levels of serum UA in people with normal thyroid function, and different age-groups and BMI groups impacted the association between impaired thyroid hormone sensitivity and serum UA. 54 A retrospective study of 48526 healthy subjects showed that under normal thyroid function, there were significant differences in TSH, FT 3 , and FT 4 between groups with different UA levels and UA levels were linearly correlated with FT 3 and FT 4 , but not with TSH. 55 Another study reported a negative correlation between low UA content and FT 3 in a Chinese Han population, suggesting that reduced UA content may serve as a risk factor to predict poor thyroid function in Chinese individuals. 27 Production of the thyroid hormone increases by approximately 50% during pregnancy, and the burden of thyroid dysfunction can occur in many pregnant women and has a profound impact. 56 However, the relationship between euthyroid function and serum UA during pregnancy is unclear. In this study, we found that FT 4 was positively correlated with the UA:SCr ratio in the third preBMI quartile, though significantly negatively correlated with the UA:SCr ratio, and TSH was significantly positively correlated with the UA:SCr ratio in the highest preBMI quartiles. Physiologically, thyroid hormones play a significant role in stimulating metabolism in the human body. As thyroid hormone levels increase, more adenosine triphosphate is consumed, leading to higher levels of adenine ribonucleotides, which may further affect purine metabolism and make serum UA levels higher. 54 A certain stimulation of the thyroid axis may occur in a state of excess energy metabolism, but the thyroid does not compensate for the increased energy consumption due to its state of excess energy metabolism. We speculate that the different relationship between thyroid function and UA:SCr ratio in pregnant women in different BMI groups might be because of the complex negative feedback mechanism of the hypothalamic–pituitary–thyroid axis and the interplay between UA mechanisms and insulin resistance, as well as thyroid function.
The innovations of this study are as follows. First, this is the first study to explore the relationship between the UA:SCr ratio in early pregnancy and thyroid function as well as GDM risk. Second, this was a prospective bicenter study with little information bias, so the results obtained are more reliable than those from a retrospective study. Third, we excluded patients with pregestational diabetes and thyroid disease to reduce interference. However, there are also limitations. First, the loss to follow-up was higher than expected, mainly due to the fact that the COVID-19 pandemic was impeding regular follow-up of participants at designated hospitals. However, the participants who were lost to follow up had not known their status of glucose metabolism before and were nonselective, so the withdrawal bias was limited and the results are relatively reliable. Second, although some confounding factors were considered and stratified analysis was performed to decrease the potential influence of these factors on the results, confounding bias cannot be eliminated. For example, diet, which is closely related to risk of GDM, was not recorded in this study. Third, previous studies reported FT 3 , FT 4 , and thyroid sensitivity might be associated with metabolism. However, there was no opportunity to investigate the association with FT 3 , because it was not measured in more than half the pregnant women in this study, which limited further investigation on euthyroid function and UA:SCr ratio as well as GDM. Therefore, future studies should be conducted to increase the reliability and generality of the results.