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Postpartum depression is associated with adverse consequences for mother and offspring. The heritable ABO blood group has been associated with multiple diseases, including mental illness and diabetes. We explored the association of ABO blood group and postpartum depressive symptoms (PPDS) in a population-based cohort of pregnant Chinese women. From 2010 to August 2012, we recruited 8842 pregnant women with a mean age of 28.5 years (SD: 2.94) and mean body mass index of 22.4kg/m 2 (SD: 3.45) in Tianjin, China. We used the Mainland Chinese version of the Edinburgh Postnatal Depression Scale after delivery with a cutoff score of 10 to define PPDS. Odds ratios (ORs) and 95% confidence intervals (CIs) for PPDS were obtained using binary logistic regression. Of 8842 women, 8.5% (n = 747) developed PPDS. Compared to those with blood group B, women with blood groups A, AB or O had a higher odds of PPDS (adjusted ORs: 1.23 (95% CI: 1.13-1.40), 1.31 (95% CI: 0.98-1.74), and 1.30(95% CI:1.03-1.60), respectively). Blood group B was associated with reduced odds of PPDS in pregnant Chinese women. If replicated in other studies, non-blood group B may be a useful risk factors for PPDS in Chinese pregnant women.

To evaluate the independent association of seasonal variation with GDM incidence in Tianjin, China, and to test whether there is an additive interaction between seasonal variation and pre-pregnancy body mass index (BMI) on GDM incidence. A population-based observational cohort study was conducted using the healthcare records data from Tianjin, China. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between pre-pregnancy BMI groups and seasons was estimated by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Among the 112,639 pregnant women, 20.8% developed GDM at 24–28 weeks of gestation. The multivariable adjusted ORs and 95% CIs were 1.00, 1.00 (0.96–1.05), 1.15 (1.09–1.20) and 1.22 (1.16–1.29) respectively based on seasons (spring, summer, autumn and winter). Compared with the spring/summer and pre-pregnant BMI < 24 kg/m2 group, co-presence of autumn/winter and pre-pregnancy BMI ≥ 24 kg/m2 increased the OR from 1.00 to 2.70 (95% CI 2.28–3.20), with a significant additive interaction: RERI (0.32, 95% CI 0.19–0.45), S (1.21, 95% CI 1.12–1.31) and AP (0.11, 95% CI 0.07–0.16). Autumn/winter is an independent risk factor for GDM incidence, and can significantly amplify the obesity-associated risk for GDM incidence. The underlying mechanism warrants further investigations. We suggest that seasonality is an additional factor when interpreting OGTT results for the diagnosis of GDM. [ABSTRACT FROM AUTHOR]

Objective: To identify the optimal weight gain at the end of the second trimester. Design: This was a population-based cohort study from the antenatal care system in Tianjin, China. We calculated gestational weight gain (GWG) based on the weight measured in the first trimester and the end of the second trimester. Restricted cubic spline analysis was performed to model the possible non-linear relationships between GWG and adverse outcomes. The optimal GWG was defined as the value of the lowest risk. Non-inferiority margins and the shape of the spline curves identified the recommended ranges in Chinese-specific BMI categories. Setting: Tianjin Maternal and Child Health Cohort. Participants: Singleton pregnant women aged 18–45 years. Results: In total, 69 859 pregnant women were included. Adverse outcome (including stillbirth, preterm birth, hypertensive disorders of pregnancy, gestational diabetes mellitus, small and large for gestational age) was significantly associated with GWG at the end of the second trimester. The risk score was non-linearly correlated with GWG in the underweight, normal weight and overweight groups. GWG at the end of the second trimester should not be < 7 kg in underweight group. For most normal-weight women, a GWG of about 8 kg is optimal. Pregnant women who are overweight should not have a GWG of more than 9 kg. We advised women with overweight and obesity to keep positive growth of GWG (> 0 kg) in the first and second trimesters. Conclusions: According to the comprehensive adverse maternal and infant outcomes, we recommend the optimal GWG at the end of the second trimester. This study may provide a considerable reference for weight management. [ABSTRACT FROM AUTHOR]

Summary: Objective: To explore associations of maternal insulin resistance and β‐cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM). Methods: Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full‐range associations of maternal homeostatic model assessment of insulin resistance (HOMA‐IR) and β‐cell function (HOMA‐%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA‐IR and low HOMA‐%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13–24 months of age. Results: Maternal high HOMA‐IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13–24 months of age (OR: 1.71, 95%CI: 1.12–2.62 & 1.89, 1.13–3.17, respectively). Maternal low HOMA‐%β was associated with an increased risk of offspring being overweight at 13–24 months of age (1.64, 1.05–2.55). Conclusions: Both maternal increased insulin resistance and decreased β‐cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM. [ABSTRACT FROM AUTHOR]

Background: Inappropriate weight gain may increase the risk of gestational diabetes mellitus (GDM). However, the relationship between pre-pregnancy body mass index (BMI), weight gain, and GDM has not been precisely quantified. This study aimed to explore whether gestational weight gain played a mediating role between pre-pregnancy BMI and GDM and whether the mediating effect was sex specific. Methods: This study established a population-based observational cohort to assess weight gain in pregnant women. Mediation analyses were performed to quantify whether weight gain mediated the association between pre-pregnancy BMI and GDM. Results: A total of 67,777 pregnant women were included in the final analysis, among whom 6751 (10.0%) were diagnosed with GDM. We verified that both pre-pregnancy BMI and weight gain were associated with GDM, and that BMI negatively contributed to weight gain. We also found that weight gain had a significant mediating effect on the relationship between pre-pregnancy BMI and GDM (Za × Zb confidence intervals [CIs] 0.00234–0.00618). Furthermore, the effect was sex-specific, in that it was only significant in overweight women carrying female fetuses (Za × Zb CIs 0.00422–0.01977), but not male fetuses (Za × Zb CIs −0.00085 to 0.01236). Conclusions: Weight gain during pregnancy had a fetal sex-specific mediating effect between pre-pregnancy BMI and GDM. [ABSTRACT FROM AUTHOR]

Aims: The study aimed to explore additive interactions of CDKAL1 rs7747752 and GUDCA/DCA for GDM risk and whether the interactive effects on the risk of GDM was mediated via increasing lysophosphatidylcholines (LPC) 18:0 and/or saturated fatty acid (SFA) 16:0. Methods: A 1:1 age-matched study nested in a prospective cohort of pregnant women (207 pairs) was organized in Tianjin, China. Additive interactions were used to test interaction effects while mediation analyses and Sobel tests were used to test mediation effects of LPC18:0 and SFA16:0 between copresence of rs7747752 and low GUDCA/DCA, and GDM risk. Results: The CDKAL1 rs7747752 was associated with GDM (P<0.05). The rs7747752 C polymorphism markedly enhanced ORs of low GUDCA from 4.04 (0.72-22.8) to 9.02 (1.63-49.7) and low DCA from 1.67 (0.68-4.11) to 4.24 (1.84-9.76), both with significant additive interactions. Further adjustment for LPC18:0 attenuated the interactive effects of rs7747752 and low DCA, with a significant mediation effect (P=0.003). High SFA16:0 did not mediate the interactive effects of rs7747752 and low DCA/GUDCA on GDM risk. Conclusions: The CDKAL1 rs7747752 C carrier status and low GUDCA/DCA had significant additive interactions on the risk of GDM with the effect from interaction with DCA being partially mediated via increasing LPC18:0. [ABSTRACT FROM AUTHOR]

Aims/Introduction: We investigated the association between leukocyte counts and glucose challenge test (GCT) level during pregnancy. Materials and Methods: We collected prenatal information of women who had their first clinic visit in early pregnancy. Women underwent GCT at 24–28 gestational weeks, and a result of ≥7.8 mmol/L was considered positive. Participants were divided into quartiles of leukocyte counts, and association with GCT results and positive rate were analyzed by logistic regression. Results: Among 20,707 pregnant women, the median of leukocyte counts was higher in the positive group than the normal group (8.5 × 109/L vs 8.2 × 109/L, P < 0.01). There was a linear trend in GCT results and positive rate with increasing leukocyte quartiles. Compared with the lowest quartile, the highest leukocyte quartile (>9.70 × 109/L) was significantly associated with positive GCT results (adjusted odds ratio 1.378, 95% confidence interval 1.246–1.524), and the linear relationship between increased risk of positive result and increasing leukocyte quartiles persisted (P for linear trend <0.01). In multivariable analysis, the risk of a positive result increased by 2.2% with each 1‐unit increase in leukocyte counts (adjusted odds ratio 1.022, 95% confidence interval 1.011–1.033). Conclusions: Elevated leukocyte counts in early pregnancy were independently and linearly associated with the risk of positive GCT levels, indicating that inflammation might play an important role in the development of gestational diabetes mellitus. [ABSTRACT FROM AUTHOR]

Introduction: Previous analysis showed that passive smoking and overweight were associated with an increased risk of gestational diabetes mellitus (GDM) in a synergistic manner, while GDM increased the risk of macrosomia/large for gestational age (LGA). This study aimed to examine any interactive effects between passive smoking and overweight/obesity on risk of macrosomia/LGA. Methods: From 2010 to 2012, 22,302 pregnant women registered for pregnancy at a primary hospital in Tianjin, China. Data were collected longitudinally; that is, from their first antenatal care visit, at the glucose challenge test (GCT) time (24–28 weeks of gestation) and at delivery. Passive smoking was self-reported. Macrosomia was defined as birth weight ≥4,000 g. Binary logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction was used to test the synergistic effect. Results: Passive smokers accounted for 57.4% of women (n = 8,230). Using nonpassive smoking and prepregnancy body mass index (BMI) <24.0 kg/m2 as the reference, the adjusted ORs of overweight alone and passive smoking alone for macrosomia were 2.39 (95% CI: 2.11–2.71) and 1.17 (95% CI: 1.04–1.32). Copresence of passive smoking and prepregnancy BMI ≥24.0 kg/m2 increased the OR to 2.70 (95% CI: 2.28–3.20), with a significant additive interaction. After further adjustment for GDM or GCT, the OR of copresence of both risk factors was slightly attenuated to 2.52 (2.13–3.00) and 2.51 (2.11–2.98), with significant additive interaction. However, the additive interaction between prepregnancy overweight/obesity and passive smoking for LGA was nonsignificant. Conclusions: Prepregnancy overweight/obesity was associated with an increased risk of macrosomia in Chinese women synergistically with passive smoking during pregnancy, and most of the association was not modified by hyperglycemia during pregnancy. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to develop a machine learning–based prediction model for gestational diabetes mellitus (GDM) in early pregnancy in Chinese women. Materials and methods: We used an established population‐based prospective cohort of 19,331 pregnant women registered as pregnant before the 15th gestational week in Tianjin, China, from October 2010 to August 2012. The dataset was randomly divided into a training set (70%) and a test set (30%). Risk factors collected at registration were examined and used to construct the prediction model in the training dataset. Machine learning, that is, the extreme gradient boosting (XGBoost) method, was employed to develop the model, while a traditional logistic model was also developed for comparison purposes. In the test dataset, the performance of the developed prediction model was assessed by calibration plots for calibration and area under the receiver operating characteristic curve (AUR) for discrimination. Results: In total, 1484 (7.6%) women developed GDM. Pre‐pregnancy body mass index, maternal age, fasting plasma glucose at registration, and alanine aminotransferase were selected as risk factors. The machine learning XGBoost model‐predicted probability of GDM was similar to the observed probability in the test data set, while the logistic model tended to overestimate the risk at the highest risk level (Hosmer–Lemeshow test p value: 0.243 vs. 0.099). The XGBoost model achieved a higher AUR than the logistic model (0.742 vs. 0.663, p < 0.001). This XGBoost model was deployed through a free, publicly available software interface (https://liuhongwei.shinyapps.io/gdm%5frisk%5fcalculator/). Conclusion: The XGBoost model achieved better performance than the logistic model. [ABSTRACT FROM AUTHOR]

Objective Neonatal TSH screening is effective in detecting congenital hypothyroidism and estimating iodine status in a given population, but various factors influence TSH levels. The aim of this study was to evaluate the effect of maternal and neonatal factors on neonatal TSH levels. Design and setting Data were obtained from an ongoing prospective cohort study. A total of 988 pregnant women and their newborn infants participated in the study from April 2015 to May 2017 at Tianjin Maternal and Child Health Center and Tanggu Maternity Hospital in Tianjin, China. Maternal demographic information, including age, height, and parity, was recorded by questionnaire. Fasting blood and urinary samples were collected from all pregnant women. After parturition, information on gestation duration, mode of delivery, neonatal sex, neonatal TSH, neonatal birth weight, and neonatal birth height were recorded. Results Maternal age, maternal BMI, gestation duration, parity, and neonatal birth weight and height were significantly correlated with neonatal TSH ( p  < 0.05). Quantile regression revealed that maternal age, TSH, FT 4 , and gestation duration were positively correlated with neonatal TSH level. A logistic regression model identified maternal BMI, TSH, and birth height as risk factors for having neonatal TSH > 5 mIU/L ( p  < 0.05). Conclusion Neonatal TSH levels are dynamic and may be affected by several maternal and neonatal factors including maternal age, TSH, FT 4 , and birth weight and height. Identification of these confounders is useful for assessing the status of neonatal thyroid development. Strengths and limitations of this study (1) Iodine deficiency disorder has generally been eliminated, so the median urinary iodine concentration of pregnancy is higher than 150 μg/L even in mildly or moderately iodine deficient areas. (2) Unlike many other studies, which did not consider the complexity of factors or examined only one or two variables, this study used a multivariate model to analyze the data. (3) This study examined numerous high-risk factors in pregnant women and considered the biological interrelation between them. Future studies should consider these confounding factors for neonatal TSH levels and establish a proper neonatal TSH range for monitoring the iodine status of a population or diagnosing congenital hypothyroidism. [ABSTRACT FROM AUTHOR]

Objective: We compared the increases in the prevalence of gestational diabetes mellitus (GDM) based on the 1999 World Health Organization (WHO) criteria and its risk factors in Tianjin, China, over a 12-year period. We also examined the changes in the prevalence using the criteria of International Association of Diabetes and Pregnancy Study Group (IADPSG). Methods: In 2010-2012, 18589 women who registered within 12 weeks of gestation underwent a glucose challenge test (GCT) at 24-28 gestational weeks. Amongst them, 2953 women with 1-hour plasma glucose ≥7.8 mmol/L underwent a 75-gram 2-hour oral glucose tolerance test (OGTT) and 781 women had a positive GCT but absented from the standard OGTT. An adjusted prevalence of GDM was calculated for the whole cohort of women by including an estimate of the proportion of women with positive GCTs who did not have OGTTs but would have been expected to have GDM. Logistic regression was used to obtain odds ratios and 95% confidence intervals using the IADPSG criteria. The prevalence of GDM risk factors was compared to the 1999 survey. Results: The adjusted prevalence of GDM by the 1999 WHO criteria was 8.1%, a 3.5-fold increase as in 1999. Using the IADPSG criteria increased the adjusted prevalence further to 9.3%. Advanced age, higher pre-pregnancy body mass index, Han-nationality, higher systolic blood pressure (BP), a family history of diabetes, weight gain during pregnancy and habitual smoking were risk factors for GDM. Compared to the 1999 survey, the prevalence of overweight plus obesity had increased by 1.8 folds, age≥30 years by 2.3 folds, systolic BP by 2.3 mmHg over the 12-year period. Conclusions: Increasing prevalence of overweight/obesity and older age at pregnancy were accompanied by increasing prevalence of GDM, further increased by change in diagnostic criteria. [ABSTRACT FROM AUTHOR]

Emerging per-/polyfluoroalkyl substances (PFASs), such as chlorinated polyfluorinated ether sulfonates (Cl-PFESAs), have been detected in human samples, yet investigation on their occurrence in pregnant women remains limited. Herein, ten legacy PFASs, branched perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA), two Cl-PFESAs, perfluoro-2-propoxypropanoic acid (HFPO-DA), and ammonium 4,8-dioxa-3H-perfluorononanoate (ADONA) were detected in serum samples from 480 pregnant women in Tianjin, China. The influencing effects of age, body mass index, gravidity, and parity were also evaluated. PFOS [geographic mean (GM): 7.05 ng/mL], 6:2Cl-PFESA (GM: 5.31 ng/mL), and PFOA (GM: 2.82 ng/mL) were the dominant PFASs in the serum of pregnant women, while neither HFPO-DA nor ADONA was detectable in any serum. The serum concentration of Cl-PFESAs and 6:2Cl-PFESA/PFOS ratio in the present study were 2–5 times higher than that in previous studies of pregnant women in China. Serum concentrations of Cl-PFESAs were significantly correlated with all detected PFAAs (Spearman's Rho: 0.15–0.69, p < 0.01) excepting perfluoropentanesulfonate (PFPeS), indicating common exposure sources for Cl-PFESAs and PFAAs and some particular exposure source for PFPeS. Younger age and multi-parity were associated with lower serum concentrations of PFOS and several perfluoroalkyl sulfonates but not associated with Cl-PFESAs or PFOA, suggesting an increasing exposure to Cl-PFESAs and PFOA which neutralized the impact of age and parity. Overall, this study indicated a relatively high exposure level and composition of 6:2Cl-PFESA in pregnant women in the north coast of China, which highlights the need to investigate the exposure sources in this area. Image 1 • 6:2Cl-PFESA is a dominant PFASs in serum of pregnant women. • Neither HFPO-DA (LOD: 0.80 ng/mL) nor ADONA (LOD: 0.01 ng/mL) is detectable in any human serum. • 6:2Cl-PFESA to PFOS ratio in serum shows apparent geographic difference in China. • Age and parity were predictors of PFOS but not of Cl-PFESAs or PFOA. Profiling of emerging and legacy PFASs indicated a relatively high exposure to 6:2Cl-PFESA among pregnant women and a geographic difference of 6:2Cl-PFESA/PFOS ratio in China. [ABSTRACT FROM AUTHOR]

This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12–3.40 & 1.95, 1.05–3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98–3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. Recent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms. [Display omitted] • High serum CD44 level in early pregnancy was associated with elevated GDM risk. • High CD44 genetic variants was associated with elevated risk of GDM. • The effect of CD44 genetic variants on GDM risk was accounted for by serum CD44. [ABSTRACT FROM AUTHOR]

• High HYAL1 in early pregnancy was associated with elevated risk of GDM. • There was a significant interaction between HYAL1 and ceramide 18:0 for GDM risk. • There was a significant interaction between HYAL1 and ceramide 18:1 for GDM risk. • There was a significant interaction between HYAL1 and ceramide 24:0 for GDM risk. To explore association of serum hyaluronidase 1 (HYAL1) level in early pregnancy with gestational diabetes mellitus (GDM), and to examine interactive effects of HYAL1 with ceramides species on GDM risk. We conducted a 1:1 matched case-control study (n = 414) of pregnant women from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational weeks). Binary conditional logistic regression and restricted cubic spline (RCS) analysis were used to examine full-range risk association between HYAL1 and GDM. Additive interactions and multiplicative interactions were employed to test interactive effects of HYAL1 with ceramides species on GDM risk. Ln HYAL1 was linearly associated with GDM risk and the adjusted OR of HYAL1 ≥ vs. < its median for GDM was significant (1.65, 95%CI: 1.08–2.52). High HYAL1 markedly enhanced the ORs of high ceramide 18:0 for GDM from 2.31 (1.06–5.01) to 6.74 (2.85–16.0), and low ceramide 24:0 from 3.08 (1.33–7.11) to 8.15 (3.03–21.9), with significant additive interactions. High HYAL1 in early pregnancy may increase the risk of GDM in Chinese women, possibly via enhancing the effects of high ceramide 18:0 and low ceramide 24:0 on GDM risk. [ABSTRACT FROM AUTHOR]

Aims: To explore associations between ceramides in early pregnancy and gestational diabetes mellitus (GDM); and interactions between ceramides and trimethylamine N-oxide (TMAO) metabolites for GDM.Methods: We organized a 1:1 nested case-control study (n = 486) from a prospective cohort of pregnant women. Conditional logistic regression and additive interaction were performed to examine relationships between ceramides and TMAO metabolites for GDM. We defined trimethylamine (TMA) conversion ratio (TMAR) as TMA/its precursors and TMAO conversion ratio (TMAOR) as TMAO/TMA. Copresence of high TMAR and low TMAOR indicated TMA accumulation status.Results: High ceramides 18:0 (per SD), 18:1 (per SD) and low ceramide 24:0 (≤ 3.60 nmol/mL) were associated with increased GDM risk (OR: 1.69, 1.72 & 3.59, respectively). High TMA enhanced the OR of low ceramide 24:0 for GDM from 1.53 (95%CI: 0.88-2.66) to 10.3 (2.83-37.5), high TMAR enhanced it from 1.31 (0.67-2.56) to 24.3 (6.57-89.5) and TMA accumulation enhanced it from 1.42 (0.72-2.77) to 25.5 (6.80-95.7), with all additive interactions being significant. However, the interactions between high ceramide 18 and TMAO metabolites were not significant.Conclusions: High ceramides 18:0, 18:1 and low ceramide 24:0 in early pregnancy were associated with increased GDM risk. Notably, TMA accumulation greatly amplified the risk-promoting effect of low ceramide 24:0 for GDM. [ABSTRACT FROM AUTHOR]