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Association between the third trimester maternal serum metabolome and child growth and development through the first year of life.

ABSTRACT: Evidence suggests that maternal metabolome may be associated with child health outcomes. We analyzed the association between the maternal metabolome between 28-35 gestational weeks and child growth and development during the first year. A prospective cohort of 98 mother-child dyads was followed at birth, 1, 6, and 12 months. Maternal serum samples were collected for targeted LC-MS/MS analysis, which measured 132 metabolites. The child's growth and development were assessed at each time-point. Z-scores were calculated based on WHO growth standards, and the domains of development were assessed using the Ages and Stages Questionnaires (ASQ-3). Multiple linear mixed-effects models were performed and confounders were identified using a Diagram Acyclic Graph. The Benjamini-Hochberg correction was used for multiple comparison adjustments. We found a positive association between lysophosphatidylcholines (14:0; 16:0; 16:1; 17:0; 18:0; 18:1; 18:2; 20:4) with the z-score of weight-for-age, and lysophosphatidylcholines (14:0; 16:0; 16:1; 18:0) and taurine with the z-score of weight-for-length, and lysophosphatidylcholines (14:0; 16:0; 16:1; 17:0; 18:0; 18:1; 18:2; 20:4) and glycine with the z-score of BMI-for-age. The leucine, methionine, tryptophan, and valine were negatively associated with the fine motor skills domain. We observed an association between maternal metabolome and the growth and child's development throughout the first year.

SUBMITTER: da Silva Rosa Freire S

PROVIDER: S-EPMC11306240 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Association between the third trimester maternal serum metabolome and child growth and development through the first year of life.

da Silva Rosa Freire Samary S Padilha Marina M Lima Ferreira Ana Lorena AL Machado Schincaglia Raquel R Cunha Figueiredo Amanda Caroline AC Freitas-Costa Nathalia Cristina NC Yin Xiaofei X Brennan Lorraine L Kac Gilberto G

Scientific reports 20240807 1

Evidence suggests that maternal metabolome may be associated with child health outcomes. We analyzed the association between the maternal metabolome between 28-35 gestational weeks and child growth and development during the first year. A prospective cohort of 98 mother-child dyads was followed at birth, 1, 6, and 12 months. Maternal serum samples were collected for targeted LC-MS/MS analysis, which measured 132 metabolites. The child's growth and development were assessed at each time-point. Z- ...[more]

PMID: 39112666

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Project description:BackgroundInternational professional organizations recommend aspirin prophylaxis to women screened high risk for preterm preeclampsia (PE) in the first trimester. The UK Fetal Medicine Foundation (FMF) screening test for preterm PE using mean arterial pressure (MAP), uterine artery pulsatility index (UTPI) and placental growth factor (PlGF) was demonstrated to have lower detection rate (DR) in Asian population studies. Additional biomarkers are therefore needed in Asian women to improve screening DRs as a significant proportion of women with preterm and term PE are currently not identified.ObjectivesTo evaluate maternal serum inhibin-A at 11-13 weeks as an alternative to PlGF or as an additional biomarker within the FMF screening test for preterm PE.Study designThis is a nested case-control study using pregnancies initially screened at 11-13 weeks for preterm PE using the FMF triple test in a non-intervention study conducted between December 2016 and June 2018. Inhibin-A levels were retrospectively measured in 1,792 singleton pregnancies, 112 (1.7%) with PE matched for time of initial screening with 1,680 unaffected pregnancies. Inhibin-A levels were transformed to multiple of the expected median (MoM). The distribution of log10 inhibin-A MoM in PE and unaffected pregnancies and the association between log10 inhibin-A MoM and gestational age (GA) at delivery in PE were assessed. The screening performance determined by area under receiver operating characteristic curves (AUC) and detection rates (DRs) at a 10% fixed false positive rate (FPR), for preterm and term PE was determined. All risks for preterm and term PE were based on the FMF competing risk model and Bayes theorem. Differences in AUC (ΔAUC) between different biomarker combinations were compared using the Delong test. McNemar's test was used to assess the off-diagonal change in screening performance at a fixed 10% FPR after adding inhibin-A or replacing PlGF in the preterm PE adjusted risk estimation model.ResultsInhibin-A levels in unaffected pregnancies were significantly dependent on GA, maternal age and weight and were lower in parous women with no previous history of PE. Mean log10 inhibin-A MoM in any-onset PE (p<0.001), preterm (p<0.001) and term PE (p = 0.015) pregnancies were all significantly higher than that of unaffected pregnancies. Log10 inhibin-A MoM was inversely but not significantly correlated (p = 0.165) with GA at delivery in PE pregnancies. Replacing PlGF with inhibin-A in the FMF triple test reduced AUC and DR from 0.859 and 64.86% to 0.837 and 54.05%, the ΔAUC was not statistically significant. AUC and DR when adding inhibin-A to the FMF triple test were 0.814, 54.05% and the -0.045 reduction in AUC was statistically significant (p = 0.001). At a fixed 10% FPR, replacing PlGF with inhibin-A identified 1 (2.7%) additional pregnancy but missed 5 (13.5%) pregnancies which subsequently developed preterm PE identified by the FMF triple test. Adding inhibin-A missed 4 (10.8%) pregnancies and did not identify any additional pregnancies with preterm PE.ConclusionReplacing PlGF by inhibin-A or adding inhibin-A as an additional biomarker in and to the FMF triple screening test for preterm PE does not improve screening performance and will fail to identify pregnancies that are currently identified by the FMF triple test.

Project description:Preeclampsia (PE) is a complex and multifaceted obstetric syndrome characterized by several distinct molecular subtypes. It complicates up to 5% of pregnancies and significantly contributes to maternal and newborn morbidity, thereby diminishing the long-term quality of life for affected women. Due to the widespread dissatisfaction with the effectiveness of existing approaches for assessing PE risk, there is a pressing need for ongoing research to identify newer, more accurate predictors. This study aimed to investigate early changes in the maternal serum proteome and associated signaling pathways. The levels of 125 maternal serum proteins at 11-13 weeks of gestation were quantified using liquid chromatography-multiple reaction monitoring mass spectrometry (LC-MRM MS) with the BAK-125 kit. Ten serum proteins emerged as potential early markers for PE: Apolipoprotein M (APOM), Complement C1q subcomponent subunit B (C1QB), Lysozyme (LYZ), Prothrombin (F2), Albumin (ALB), Zinc-alpha-2-glycoprotein (AZGP1), Tenascin-X (TNXB), Alpha-1-antitrypsin (SERPINA1), Attractin (ATRN), and Apolipoprotein A-IV (APOA4). Notably, nine of these proteins have previously been associated with PE in prior research, underscoring the consistency and reliability of our findings. These proteins play key roles in critical molecular processes, including complement and coagulation cascades, platelet activation, and insulin-like growth factor pathways. To improve the early prediction of PE, a highly effective Support Vector Machine (SVM) model was developed, analyzing 19 maternal serum proteins from the first trimester. This model achieved an area under the curve (AUC) of 0.91, with 87% sensitivity and 95% specificity, and a hazard ratio (HR) of 13.5 (4.6-40.8) with p < 0.001. These findings demonstrate that serum protein-based SVM models possess significantly higher predictive power compared to the routine first-trimester screening test, highlighting their superior utility in the early detection and risk stratification of PE.

Dataset Information

Association between the third trimester maternal serum metabolome and child growth and development through the first year of life.

Publications

Association between the third trimester maternal serum metabolome and child growth and development through the first year of life.

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