Plasma trimethylamine N-oxide metabolites in the second trimester predict the risk of hypertensive disorders of pregnancy: a nested case-control study.

The relationship between gut microbiota products trimethylamine oxide (TMAO) and related metabolites including betaine, choline and L-carnitine and hypertensive disorders of pregnancy (HDP) is unclear. In order to examine whether plasma TMAO and related metabolites predict the risk of HDP, a nested case-control study was conducted in Chinese women based on a prospective cohort including 9447 participants. 387 pairs of pregnant women (n = 774) were matched and their plasma TMAO, betaine, choline, and L-carnitine at 16-20 gestational weeks were measured by liquid chromatography-mass spectrometry. Odds ratio (OR) and the 95% confidence interval (95% CI) were calculated using the conditional logistic regression, to examine the association between TMAO metabolites and HDP. The findings showed that higher plasma betaine (≥24.94 µmol/L) was associated with a decreased risk of HDP and its subtype gestational hypertension (GH), with adjusted ORs of 0.404 (95% CI: 0.226-0.721) and 0.293 (95% CI: 0.134-0.642), respectively. Higher betaine/choline ratio (>2.64) was associated with a lower risk of HDP and its subtype preeclampsia or chronic hypertension with superimposed preeclampsia (PE/CH-PE), with adjusted ORs of 0.554 (95% CI: 0.354-0.866) and 0.226 (95% CI: 0.080-0.634). Moreover, compared with traditional factors (TFs) model, the TMAO metabolites+ TFs model had a higher predictive ability for PE/CH-PE (all indexes P values < 0.0001). Therefore, it suggests that the detection of plasma betaine and choline in the early second trimester of pregnancy can better assess the risk of HDP.

The relationship between arginine vasopressin gene polymorphisms and plasma copeptin and hypertensive disorders of pregnancy: a nested case-control study.

OBJECTIVES: This study aims to explore the relationship between polymorphism of the arginine vasopressin (AVP) gene and plasma copeptin concentration with the occurrence of hypertension in pregnancy. METHODS: We conducted a matched nested case-control study in Chinese women. The genotypes of rs3729965, rs3761249, rs1410713, rs2740204, and rs2282018 loci of AVP gene and plasma copeptin at 16-20 gestational weeks were detected in 288 patients with gestational hypertension (GH), 82 with preeclampsia (PE), and 14 with chronic hypertension with superimposed preeclampsia (CH-PE) and their healthy matched controls. RESULTS: For every natural logarithm unit increment in copeptin, the risks of GH and PE/CH-PE increased by 5.556 (adjusted odds ratio [aOR]: 6.556, 95% confidence interval [CI]: 2.734-15.717) and 3.312 times (aOR: 4.312, 95% CI: 1.168-15.914). Under the dominant model, the genotype CC + CT of rs2282018 and GG + GT of rs3761249 had higher risks of GH than genotype TT, with aORs of 1.757 (95% CI: 1.077-2.867) and 1.814 (95% CI: 1.111-2.963). Allele A of rs3729965 loci had a lower risk of PE/CH-PE than allele G (aOR: 0.441, 95% CI: 0.199-0.978). However, the frequencies of rs1410713 and rs2740204 genotypes were not significantly different between cases and controls. The model of copeptin combined with the AVP gene and traditional factors (TFs) had a higher ability than the TFs model in predicting GH and PE/CH-PE. CONCLUSION: Our study confirms that higher plasma copeptin and AVP gene variants are associated with the occurrence of GH and PE/CH-PE. The detection of copeptin and AVP gene in the early second trimester improves the predictive ability of TFs for GH and PE/CH-PE.

Relationship between Gestational Weight Gain Rate Trajectory and Overweight in Offspring at Three Years of Age.

Background: The incidence of childhood obesity has increased rapidly, and its relationship with adult diseases is constantly being revealed. Maternal factors have been shown to play an important role in the growth and development of newborns. In this article, we explored the relationship between the gestational weight gain (GWG) rate and overweight/obesity in offspring at 3 years of age. Methods: A total of 5146 pregnant women and their children registered between January 2010 and December 2018 were studied by a retrospective cohort study. The Group-based Trajectory Model was used to distinguish the GWG rate patterns. Overweight/obesity was diagnosed by the weight-for-height Z-score at 3 years of age. Logistic regression was used to analyze the association between GWG rate patterns and outcomes. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated to analyze the association between GWG rate patterns and overweight/obesity in offspring at 3 years of age. Results: Three GWG rate growth patterns were identified in this study. The incidence of offspring overweight/obesity in the low-stable, high-stable, and low-sharp patterns was 8.33%, 3.68%, and 6.03% respectively. After adjusting covariates, compared with the low-stable pattern, the high-stable pattern increased the risk for offspring to be overweight/obesity at 3 years of age, with OR of 2.26 (95% CI, 1.31-3.90). However, the low-sharp pattern was not associated with overweight/obesity in offspring at 3 years of age. Conclusions: The high-stable increasing pattern of the GWG rate is a risk factor for overweight/obesity in offspring at 3 years of age.