Maternal Anthropometric Research Articles

Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus.

BACKGROUND This study aimed to develop a predictive model for the association between maternal and neonatal anthropometric data and neonatal hypoglycemia based on data from mothers with gestational diabetes mellitus (GDM) and their neonates. MATERIAL AND METHODS We included 106 pregnant women with GDM (based on the World Health Organization International Association of Diabetes and Pregnancy Study Groups) and their neonates. Neonatal hypoglycemia was defined as a threshold of 2.5 mmol/L. Neonatal blood glucose levels were performed at 0, 0.5, 1, 3, and 24 h after birth. An artificial neural network (ANN) and recurrent neural network (RNN) were developed to predict the neonate blood concentrations and investigate the relative contribution of maternal and neonate clinical variables to neonatal hypoglycemia. RESULTS Of 106 mothers with GDM, 85% had obesity, and 78% had vaginal deliveries, with neonates averaging a birth weight of 3335.83 g. The ANN model, based on the clinical data from mothers and neonates, predicted blood glucose levels with a high degree of accuracy, achieving a coefficient of determination of 0.869 and a root mean square error (RMSE) of 0.274. Neonatal birth weight and maternal body mass index were the 2 most significant factors in predicting neonatal hypoglycemia, contributing 18.6% and 15.9%, respectively. The RNN model similarly forecasted glucose levels effectively, addressing the dynamic changes in blood glucose with 0.63 mmol/L RMSE and 0.53 mmol/L mean absolute error. CONCLUSIONS ANN and RNN models effectively predict neonatal hypoglycemia in infants of mothers with GDM, highlighting the critical role of maternal and neonatal factors.

Early-pregnancy BMI, maternal gestational weight gain, and asthma and allergic diseases in children.

Association of early pregnancy body mass index (BMI) and maternal gestational weight gain (GWG), and asthma and allergic disease in children is unclear. We analyzed data from 3176 mother-child pairs in a prospective birth cohort study. Maternal anthropometric measurements in the first and last antenatal clinic visits were obtained through post-delivery questionnaires to calculate early pregnancy BMI and maternal GWG. Asthma and allergic diseases in children by the age of 5 years was assessed using a validated questionnaire. Furthermore, serum samples were analyzed for IgE antibodies to eight allergens. We applied Cox proportional hazards and logistic regression analyses to estimate the association of early pregnancy BMI and maternal GWG (as continuous variables and categorized into quarters), and asthma, atopic eczema, atopic sensitization, and allergic rhinitis in children. Neither early pregnancy BMI nor maternal GWG was associated with asthma and allergic disease in children when analyzed as continuous variables. However, compared to the first quarter of GWG (a rate <0.32 kg/week), mothers in the third quarter (rate 0.42-0.52 kg/week) had children with significantly higher odds of developing atopic eczema (adjusted OR 1.49, 95% CI [1.13-1.96]) by 5 years of age. Association of early pregnancy BMI and maternal GWG, and asthma and allergic disease in children, is inconsistent. High maternal GWG may be associated with increased odds of atopic eczema.

Biopsychosocial predictors of rapid weight gain from birth to 6 months.

Childhood obesity remains a public health crisis and identification of unique prenatal and early infancy predictors of obesity risk are critically needed. We test a comprehensive biopsychosocial model of the predictors of rapid weight gain (RWG) in the first 6 months of life. Two hundred and ninety nine pregnant women and their infants participated. Maternal prenatal psychobiological risk (PPBR) was assessed during the third trimester via maternal anthropometrics, serum biomarkers (insulin, leptin, adiponectin), and maternal report of pregnancy complications, substance use, mental health and stress. Infant stress reactivity was measured at 2 months (cortisol output, resting RSA, observed irritability, negative emotionality). At 2 and 6 months, maternal self-report of obesogenic feeding practices and observed maternal sensitivity during three tasks were collected. RWG was classified based on change in weight-for-age z scores from birth to 6 months (>0.67 SD). Obesogenic feeding practices predicted greater likelihood of RWG, β = 0.30, p = .0.01, independent of other predictors and covariates. Obesogenic feeding practices was the only proposed intervening mechanism that produced a significant indirect effect of PPBR on RWG, b = 0.05, S.E. = 0.04, 95% CI [0.002, 0.15], β = 0.06. Identifying proclivity towards obesogenic feeding practices and providing support to reduce these behaviours may enhance childhood obesity prevention efforts.

Analysis of early-pregnancy metabolome in early- and late-onset gestational diabetes reveals distinct associations with maternal overweight.

It is not known whether the early-pregnancy metabolome differs in patients with early- vs late-onset gestational diabetes mellitus (GDM) stratified by maternal overweight. The aims of this study were to analyse correlations between early-pregnancy metabolites and maternal glycaemic and anthropometric characteristics, and to identify early-pregnancy metabolomic alterations that characterise lean women (BMI <25 kg/m2) and women with overweight (BMI ≥25 kg/m2) with early-onset GDM (E-GDM) or late-onset GDM (L-GDM). We performed a nested case-control study within the population-based prospective Early Diagnosis of Diabetes in Pregnancy cohort, comprising 210 participants with GDM (126 early-onset, 84 late-onset) and 209 normoglycaemic control participants matched according to maternal age, BMI class and primiparity. Maternal weight, height and waist circumference were measured at 8-14 weeks' gestation. A 2 h 75 g OGTT was performed at 12-16 weeks' gestation (OGTT1), and women with normal results underwent repeat testing at 24-28 weeks' gestation (OGTT2). Comprehensive metabolomic profiling of fasting serum samples, collected at OGTT1, was performed by untargeted ultra-HPLC-MS. Linear models were applied to study correlations between early-pregnancy metabolites and maternal glucose concentrations during OGTT1, fasting insulin, HOMA-IR, BMI and waist circumference. Early-pregnancy metabolomic features for GDM subtypes (participants stratified by maternal overweight and gestational timepoint at GDM onset) were studied using linear and multivariate models. The false discovery rate was controlled using the Benjamini-Hochberg method. In the total cohort (n=419), the clearest correlation patterns were observed between (1) maternal glucose concentrations and long-chain fatty acids and medium- and long-chain acylcarnitines; (2) maternal BMI and/or waist circumference and long-chain fatty acids, medium- and long-chain acylcarnitines, phospholipids, and aromatic and branched-chain amino acids; and (3) HOMA-IR and/or fasting insulin and L-tyrosine, certain long-chain fatty acids and phospholipids (q<0.001). Univariate analyses of GDM subtypes revealed significant differences (q<0.05) for seven non-glucose metabolites only in overweight women with E-GDM compared with control participants: linolenic acid, oleic acid, docosapentaenoic acid, docosatetraenoic acid and lysophosphatidylcholine 20:4/0:0 abundances were higher, whereas levels of specific phosphatidylcholines (P-16:0/18:2 and 15:0/18:2) were lower. However, multivariate analyses exploring the early-pregnancy metabolome of GDM subtypes showed differential clustering of acylcarnitines and long-chain fatty acids between normal-weight and overweight women with E- and L-GDM. GDM subtypes show distinct early-pregnancy metabolomic features that correlate with maternal glycaemic and anthropometric characteristics. The patterns identified suggest early-pregnancy disturbances of maternal lipid metabolism, with most alterations observed in overweight women with E-GDM. Our findings highlight the importance of maternal adiposity as the primary target for prevention and treatment.

Gestational organophosphate esters (OPEs) exposure in association with placental DNA methylation levels of peroxisome proliferator-activated receptors (PPARs) signaling pathway-related genes

BackgroundOrganophosphate esters (OPEs) exposure could affect offspring health. However, the underlying mechanisms are not well documented. ObjectivesBased on a birth cohort study, we aimed to investigate the associations among gestational OPEs exposure, placental DNA methylation levels of peroxisome proliferator-activated receptor (PPAR) signaling pathway-related genes, and fetal growth. MethodsWe measured the concentrations of eight OPE metabolites in maternal urine samples and neonatal anthropometric measurements in 733 mother-child pairs. In 327 placental samples, we assessed the DNA methylation levels of 14 genes which were involved in the PPARs signaling pathway and expressed in placenta. Multiple linear regression models were used to examine the associations of OPEs exposure with placental DNA methylation, and of OPEs and placental DNA methylation with neonatal anthropometric measurements. Causal mediation analyses were conducted to examine the potential mediating role of placental DNA methylation in the pathway between OPEs exposure and fetal growth. ResultsWe observed a general pattern of OPEs exposure being associated with hypermethylation of candidate genes, with statistically significant associations identified for several OPEs with RXRA, ACAA1, ACADL, ACADM, PLTP, and NR1H3 methylation. Further, gestational exposure to BCIPP, DPP, BBOEP, ∑NCl-OPEs, and ∑OPEs tended to be associated with lower anthropometric measurements, with more significant associations observed on arm circumference, and abdominal and back skinfold thickness. Notably, RXRA, ACAA1, ACOX1, CPT2, ACADM, and NR1H3 methylation tended to be associated with lower neonatal anthropometric measurements, especially for abdominal and back skinfold thickness. Moreover, mediation analyses showed that 19.42 % of the total effect of DPP on the back skinfold thickness was mediated by changes in RXRA methylation, and there was a significant indirect effect of RXRA methylation. ConclusionsGestational OPEs exposure could disrupt the placental DNA methylation levels of PPAR signaling pathway-related genes, which might contribute to the effect of OPEs on fetal growth.

Chilean children's adherence to sustainable healthy diets and its associations with sociodemographic and anthropometric factors: a cross-sectional study.

To describe adherence to sustainable healthy diets among a sample of 958 Chilean pre-schoolers (3-6years) and explore associations between adherence and child and maternal sociodemographic and anthropometric characteristics. Children's adherence to sustainable healthy diets was calculated from single multiple-pass 24-h dietary recalls using the Planetary Health Diet Index for children and adolescents (PHDI-C). Higher PHDI-C scores (max score = 150 points) represent greater adherence. Adjusted linear regression models were fitted to explore associations between PHDI-C scores and child and maternal characteristics. Children obtained low total PHDI-C scores (median 50.0 [IQR 39.5-59.8] points). This resulted from low consumption of nuts & peanuts, legumes, vegetables, whole cereals, and vegetable oils; a lack of balance between dark green and red & orange vegetables, inadequate consumption of tubers & potatoes and eggs & white meats, and excess consumption of dairy products, palm oil, red meats, and added sugars. Mean PHDI-C total score was significantly higher (50.6 [95%CI 49.6, 51.7] vs 47.3 [95%CI 45.0, 49.5]) among children whose mothers were ≥ 25years compared to those with younger mothers. Positive associations were observed between scores for fruits and maternal education, vegetables and maternal age, added sugars and child weight status, while negative associations were observed between fruits and child age, and vegetable oils and maternal education. Scores for dairy products PHDI-C component were lower among girls. Adherence to sustainable healthy diets was low among this sample of Chilean children and was significantly associated with maternal age, being lower among children whose mothers were younger.

The Effect of Maternal Overweight/Obesity on Serum and Breastmilk Leptin, and Its Associations with Body Composition, Cardiometabolic Health Indices, and Maternal Diet: The BLOOM Study.

In overweight and obese patients, elevated serum and breastmilk leptin concentrations are observed, with serum leptin also being likely affected by the diet. We analyzed serum and breastmilk leptin in normal weight (NW) and overweight/obese (OW/OB) mothers, and evaluated its associations with (1) maternal anthropometric parameters; (2) markers of cardiometabolic health; and (3) the maternal diet. The BLOOM (Breastmilk and the Link to Overweight/Obesity and Maternal diet) study was conducted among 40 women (n = 20 OW/OB; n = 20, NW) who were exclusively or predominantly breastfeeding for 15.5 ± 1.2 (OW/OB group (0.99)) weeks. We collected 24 h breastmilk and fasting blood samples for leptin analysis by ELISA. Maternal dietary habits were evaluated using a 3-day dietary record and food frequency questionnaire, which were used to calculate the Polish-adapted Mediterranean Diet score. Maternal anthropometric measurements and DEXA scans were performed, and anthropometric and cardiometabolic indices were calculated. The OW mothers had 1.4 times higher serum levels, while OB mothers had 4.5 and 6.2 higher serum and breastmilk leptin levels, respectively, in comparison to the NW mothers. The FM% was correlated with serum and breastmilk leptin levels (r = 0.878, r = 0.638). Serum leptin was associated with markers of cardiometabolic health such as AIP, CMI, and VAI in the NW mothers, and with LAP in the OW/OB mothers. Higher energy, fructose intake and adherence to the Mediterranean diet were associated with serum leptin in the NW mothers (β = 0.323, 0.039-0.608; β = 0.318, 0.065-0.572; β = 0.279, 0.031-0.528); meanwhile, higher adherence to the Mediterranean diet could protect against elevated breastmilk leptin concentrations in OW/OB mothers (β = -0.444, -0.839--0.050), even after adjustment for FM%. Our results suggest a potential association between maternal serum leptin concentrations and cardiometabolic health. In addition, we confirm the importance of healthy dietary patterns in the improvement of breastmilk composition.

Pre-pregnancy maternal obesity and infant neurodevelopmental outcomes in Latino infants.

This study explores the impact of maternal pre-pregnancy BMI on infant neurodevelopment at 24 months in low-income Latino families. It also investigates whether infant diet mediates this relationship. Latino mother-infant pairs (n = 163) were enrolled at 1 month post partum and were followed for 2 years, with assessments at 6-month intervals. Maternal pre-pregnancy anthropometrics were self-reported at baseline, and child neurodevelopment was assessed at 24 months using the Bayley Scales of Infant Development. Diet quality of infants was measured using the Healthy Eating Index (HEI)-2015 and HEI-Toddlers-2020 scores at multiple time points. Mediation and regression models that adjust for maternal factors were used to examine the associations. Pre-pregnancy BMI showed significant negative associations with child cognitive scores (β = -0.1, 95% CI: -0.2 to -0.06, p < 0.001) and language scores (β = -0.1, 95% CI: -0.2 to -0.03, p = 0.01) at 24 months. Infant HEI-2015 scores at 24 months partly mediated these associations, explaining 23% and 30% of the total effect on cognitive and language subscales, respectively. No specific dietary components in infants mediated the relationship, except for the total HEI-2015 score. Managing maternal obesity pre-pregnancy is crucial for improving infant neurodevelopmental outcomes, especially in low-income Latino families. Promoting healthy weight and enhancing infant diet quality can enhance neurodevelopment in these populations.

Longitudinal and circadian variation in breastmilk macronutrient composition across the first six months of lactation – associations with maternal determinants and infant anthropometric development [pdf

Longitudinal and circadian variation in breastmilk macronutrient composition across the first six months of lactation – associations with maternal determinants and infant anthropometric development [pdf

A Mediterranean diet plan in lactating women with obesity reduces maternal energy intake and modulates human milk composition - a feasibility study.

Maternal obesity is associated with increased concentrations of human milk (HM) obesogenic hormones, pro-inflammatory cytokines, and oligosaccharides (HMOs) that have been associated with infant growth and adiposity. The objective of this pilot study was to determine if adherence to a Mediterranean meal plan during lactation modulates macronutrients and bioactive molecules in human milk from mothers with obesity. Sixteen healthy, exclusively breastfeeding women with obesity (body mass index ≥30 kg/m2) enrolled between 4 and 5 months postpartum. The women followed a 4-week Mediterranean meal plan which was provided at no cost. Maternal and infant anthropometrics, HM composition, and infant intakes were measured at enrollment and at weeks 2 and 4 of the intervention. Thirteen mother-infant dyads completed the study. Additionally, participants from an adjacent, observational cohort who had obesity and who collected milk at 5 and 6 months postpartum were compared to this cohort. Participants' healthy eating index scores improved (+27 units, p < 0.001), fat mass index decreased (-4.7%, p < 0.001), and daily energy and fat intake were lower (-423.5 kcal/day, p < 0.001 and-32.7 g/day, p < 0.001, respectively) following the intervention. While HM macronutrient concentrations did not change, HM leptin, total human milk oligosaccharides (HMOs), HMO-bound fucose, Lacto-N-fucopentaose (LNFP)-II, LNFP-III, and difucosyllacto-N-tetrose (DFLNT) concentrations were lower following the intervention. Infant intakes of leptin, tumor necrosis factor (TNF)-α, total HMOs, HMO-bound fucose, LNFP-III and DFLNT were lower following the intervention. Specific components of the maternal diet (protein and fat) and specific measures of maternal diet quality (protein, dairy, greens and beans, fruit and vegetables) were associated with infant intakes and growth. Adherence to a Mediterranean meal plan increases dietary quality while reducing total fat and caloric intake. In effect, body composition in women with obesity improved, HM composition and infants' intakes were modulated. These findings provide, for the first time, evidence-based data that enhancing maternal dietary quality during lactation may promote both maternal and child health. Longer intervention studies examining the impact of maternal diet quality on HM composition, infant growth, and infant development are warranted.

Associations of maternal serum concentration of iron-related indicators with birth outcomes in Chinese: a pilot prospective cohort study

BackgroundPrevious studies of maternal iron and birth outcomes have been limited to single indicators that do not reflect the comprehensive relationship with birth outcomes. We aimed to investigate the relationship between maternal iron metabolism and neonatal anthropometric indicators using comprehensive iron-related indicators.MethodsA total of 914 Chinese mother-child dyads were enrolled in this prospective study. Subjects’ blood samples were collected at ≤ 14 weeks of gestation. Serum concentrations of iron-related indicators were measured by enzyme-linked immunosorbent assay (ELISA). Femur length was measured by B-ultrasound nearest delivery. Neonatal anthropometric indicators were collected from medical records.ResultsAfter adjustment for potential covariates, higher iron (per one standard deviation, SD increase) was detrimentally associated with − 0.22 mm lower femur length, whereas higher transferrin (per one SD increase) was associated with 0.20 mm higher femur length. Compared with normal subjects (10th-90th percentiles), subjects with extremely high (> 90th percentile) iron concentration were detrimentally associated with lower femur length, birth weight, and chest circumference, and a higher risk of low birth weight, LBW (HR: 3.92, 95%CI: 1.28, 12.0). Subjects with high concentration of soluble transferrin receptor, sTFR and transferrin (> 90th percentile) were associated with higher femur length. Subjects with low concentration of iron and ferritin concentrations (< 10th percentile) were associated with a higher risk of LBW (HR: 4.10, 95%CI: 1.17, 14.3) and macrosomia (HR: 2.79, 95%CI: 1.06, 7.35), respectively.ConclusionsMaternal iron overload in early pregnancy may be detrimentally associated with neonatal anthropometric indicators and adverse birth outcomes.

Maternal gestational hypertension, smoking and pre-eclampsia are associated with metabolic dysfunction-associated fatty liver disease in overweight offspring.

Due to a steep increase in obesity, metabolic dysfunction-associated fatty liver disease (MAFLD) has also become the most common chronic hepatic condition among children and adolescents. Various maternal and pregnancy-related factors have also been implicated in the development of MAFLD, but human studies remain scarce. Comprehensive data of 460 overweight or obese children aged 2-16 years were collected and combined with data on selected maternal and pregnancy-related factors for a case-control study. MALFD was defined as alanine aminotransferase >2× upper limit of normal. Children with and without MAFLD were compared regarding to the study variables and multivariable regression analysis was utilized. Median age of the study children was 11.8 (quartiles 9.1-14.2) years; 44% were girls and 17.8% had MAFLD. Children with MAFLD were older (12.7 vs. 11.6 years, p = 0.002), while the groups did not differ age-standardized body mass index (BMI-SDS) or gender. Factors associated with MAFLD in a multivariable model considering also the offspring's present BMI-SDS, sex, and maternal prepregnancy overweight, were child's older age (odds ratio [OR] 1.16, 95% confidence interval [CI]: 1.06-1.28), maternal gestational smoking (OR 2.01, 95% CI: 1.16-3.47), gestational hypertension (OR 3.44, 95% CI: 1.08-11.0) and pre-eclampsia (OR 2.93, 95% CI: 1.15-7.45). There was no significant association between MAFLD and maternal BMI, birth anthropometrics or perinatal complications. Maternal smoking, gestational hypertension and pre-eclampsia were associated with MAFLD among overweight or obese children. Further prospective studies are needed to verify causal relationships.

Effects of Maternal Anthropometry on Infant Anthropometry: A Cross-sectional Study at Public Hospital X in Ternate, Indonesia

Infant anthropometry is an indicator of neonatal survival. This study aimed to determine the effects of maternal anthropometry on estimating infant anthropom­etry. This cross-sectional study on 173 pregnant women at Public Hospital X in Ternate, Indonesia, was conducted from August 2018 to March 2023. The el­igible criteria were pregnant women aged ≥18 years, single pregnancy, and antenatal care (ANC) visits to the same hospital. The variables used included ma­ternal anthropometric measurements (body weight, body height, third-trimester weight (TTW)), gestational weight gain (GWG), education, age, ANC visits, and gestational age at delivery (GAD). A logistic regression model was employed to estimate significant variables related to infant anthropometric measure­ments (birth weight, birth length, and head circumference). The results showed that TTW, GWG, ANC, and GAD had significantly affected birth weight. Bodyweight, height, and TTW also significantly affected birth length. In addition, only GAD significantly affected the head circumference. In multivariate analysis, TTW and GWG significantly affected birth weight. Furthermore, only body height and GAD affected the birth length. Maternal anthropometrics become impor­tant indicators for estimating birth weight and birth length.

Are Maternal Vitamin D (25(OH)D) Levels a Predisposing Risk Factor for Neonatal Growth? A Cross-Sectional Study.

Neonatal bone mass may potentially be influenced by existing maternal vitamin D (25(OH)D) levels. Few studies evaluated maternal vitamin D deficiency (VDD) with neonatal anthropometrics such as weight, height and head circumference (HC), especially in Greece, which is a Mediterranean country with plenty of sunshine and consequently benefits the synthesis of 25(OH)D. We investigated this potential association in Greece, taking into account the administration or not of prenatal vitamin D supplements. The purpose of our study is to ascertain if there is a possible association between maternal VDD and neonatal specific anthropometric characteristics (weight, height and HC) at birth. If this is confirmed by future clinical studies, it would be of interest to develop a prenatal pregnancy selection program that would detect VDD early or during pregnancy in order to improve fetal-neonatal development in a Mediterranean country like ours. We performed a cross-sectional study on 248 early early term infants (after 37 + 0 to 38 + 6 weeks of gestation) but also on full-term infants (after 39 to 40 weeks of gestation) and their Greek mothers from September 2019 to January 2022. Blood samples of 25(OH)D were taken from the mother at the beginning of labor and cord blood was taken from the newborn. Pregnant women were divided into two groups: those who received or did not receive a normal dose of calcium (500 mg/day) and vitamin D supplements (400-800 IU/day) as instructed by their treating physicians. Our findings revealed a positive association between maternal VDD and low neonate birth weight (LBW) in women receiving vitamin D during pregnancy and no association between maternal VDD and neonatal height or head circumference (HC) at birth. Overall, this study highlighted the association between maternal VDD at the end of gestation and LBW neonates born to mothers who received vitamin D supplementation. We did not find any correlation in two of the three somatometric characteristics studied, height and HC. In any case, more clinical studies are needed to further corroborate any potential association of maternal VDD with other neonatal somatometric characteristics.

Associations of polymetabolic risk of high maternal pre-pregnancy body mass index with pregnancy complications, birth outcomes, and early childhood neurodevelopment: findings from two pregnancy cohorts

BackgroundA substantial proportion of maternal pregnancy complications, adverse birth outcomes and neurodevelopmental delay in children may be attributable to high maternal pre-pregnancy Body Mass Index (BMI). However, BMI alone is insufficient for the identification of all at-risk mothers and children as many women with non-obesity(< 30 kg/m2) or normal weight(18.5–24.99 kg/m2) and their children may suffer from adversities. Evidence suggests that BMI-related metabolic changes during pregnancy may predict adverse mother–child outcomes better than maternal anthropometric BMI.MethodsIn a cohort of 425 mother–child dyads, we identified maternal BMI-defined metabolome based on associations of 95 metabolic measures measured three times during pregnancy with maternal pre-pregnancy BMI. We then examined whether maternal BMI-defined metabolome performed better than anthropometric BMI in predicting gestational diabetes, hypertensive disorders, gestational weight gain (GWG), Caesarian section delivery, child gestational age and weight at birth, preterm birth, admission to neonatal intensive care unit (NICU), and childhood neurodevelopment. Based on metabolic measures with the highest contributions to BMI-defined metabolome, including inflammatory and glycolysis-related measures, fatty acids, fluid balance, ketone bodies, lipids and amino acids, we created a set of maternal high BMI-related polymetabolic risk scores (PMRSs), and in an independent replication cohort of 489 mother–child dyads tested their performance in predicting the same set of mother–child outcomes in comparison to anthropometric BMI.ResultsBMI-defined metabolome predicted all of the studied mother–child outcomes and improved their prediction over anthropometric BMI, except for gestational hypertension and GWG. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarian section delivery, admission to NICU, lower gestational age at birth, lower cognitive development score of the child, and improved their prediction over anthropometric BMI. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarean section delivery, NICU admission and child’s lower gestational age at birth even at the levels of maternal non-obesity and normal weight.ConclusionsMaternal BMI-defined metabolome improves the prediction of pregnancy complications, birth outcomes, and neurodevelopment in children over anthropometric BMI. The novel, BMI-related PMRSs generated based on the BMI-defined metabolome have the potential to become biomarkers identifying at-risk mothers and their children for timely targeted interventions even at the level of maternal non-obesity and normal weight.

Association of Altered Ratio of Maternal Folic Acid and Vitamin B12 during Pregnancy with Newborn Birth Weight, Head Circumference, and Chest Circumference

Objective This study evaluated the effect of an altered ratio of maternal RBC folate (MRF) to serum vitamin B12 (MB12) on pregnancy and newborn outcomes. Methods Blood samples were collected from pregnant women and the umbilical cord at the time of delivery. Estimations of RBC folate and serum vitamin B12 from maternal and cord blood samples and total homocysteine (HCY) were performed. Maternal and newborn anthropometric parameters like placental weight (PW), head circumference (HC), chest circumference (CC), and body weight (BW) were measured in offsprings after birth. We stratified the pregnant women into six groups (a) vitamin B12 normal and folic acid normal (BNFN)-control group, (b) vitamin B12 normal and folic acid elevated (BNFE), (c) vitamin B12 normal and folic acid deficient (BNFD), (d) vitamin B12 deficient and folic acid normal (BDFN), (e) vitamin B12 deficient and folic acid elevated (BDFE) and (f) vitamin B12 deficient and folic acid deficient (BDFD) based on their levels of RBC folate (MRF) and vitamin B12 (MB12). The expression of the one-carbon metabolism genes (methionine synthase (MS), glycine N-methyltransferase (GNMT), and cystathionine β-synthase (CBS) was also studied in placental tissue by using real-time PCR. Results Cord blood RBC folate was significantly reduced in groups BDFE and BDFD as compared to the control group (BNFN). The cord blood vitamin B12 levels were also reduced in the BDFE group as compared to the BDFD. All the newborn parameters viz. PW, HC, CC, and BW, were reduced in the altered MRF/MB12 ratio (low & high vs. normal ratio). Total HCY was significantly elevated in the groups with (BDFE & BDFN) an imbalance of maternal RBC folate and serum vitamin B12 as compared to the control group. Downregulation of one-carbon metabolism genes like MS (p < 0.001), GNMT (p < 0.05), and CBS (p < 0.01) in placental tissue was observed in the high MRF/MB12 ratio group as compared to the normal ratio group. A strong positive correlation was also observed between MRF, MB12, and newborn parameters. Conclusions The altered ratio of folate to vitamin B12 in the maternal blood is associated with adverse growth and development of the newborn.

Maternal factors associated with habitual consumption of ultra-processed foods during pregnancy

The scope of the study was to investigate the relationship between maternal sociodemographic, obstetric and lifestyle characteristics and the habitual consumption of ultra-processed foods. It included a cross-sectional study of n = 784 pregnant women attended by the Unified Health System. Diet was estimated using two 24-hour recall surveys, using the multiple-pass method. Ultra-processed foods were classified using the UN NOVA food classification and their habitual consumption was expressed as the contribution to the total energy percentage. Adjusted linear regression models were used to investigate the relationship between maternal characteristics and the percentage of energy (%E) derived from ultra-processed foods. The %E of ultra-processed foods in the diet was 32.1%. Maternal age (-0.45[-0.62; -0.29] p < 0.001), economic bracket D+E in relation to A+B (-2.95[-5.59; -0.32] p = 0.03) and energy underreporting (-6.95[-8.86; -5.04] p < 0.001) were inversely associated with the %E of ultra-processed foods, whereas the pre-pregnancy Body Mass Index (BMI) (0.41[0.22; 0.60] p < 0.001) was directly associated. This would suggest that maternal age, economic status, energy underreporting and pre-gestational anthropometric status are associated with the consumption of ultra-processed foods during pregnancy.

Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis

BackgroundPerinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM.MethodsSystematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m2) with offspring macrosomia or large-for-gestational age (LGA).ResultsA total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers.ConclusionsMaternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.

Growth Trajectories among Toddlers in Rural Cambodia; Increased Risk for Severe Stunting in Poorer Communities

Objectives: Previous studies of a Cambodian birth cohort showed significant differences in birth weight, ponderal index and head circumference between newborns from two rural communities. The differences were associated with maternal anthropometrics and socioeconomic background, and the smallest babies were born to the mothers from the poorest communities. To see if the differences persisted postnatally, we followed the birth cohort for 18 months to investigate the children’s physical growth and cognitive development.

Relationship between Parental Head Circumference and Birth Type: A Pilot Study

Aim: Is there an association between Parental Head Circumference and Birth Type? Background: A mismatch between fetal size, especially the fetal head, with the mother's pelvis, also known as cephalo-pelvic disproportion (CPD), can lead to obstructed labor and, ultimately, cesarean section. However, so far, not much focus has been done on the father's anthropometric indices along with maternal anthropometric indices, especially head circumference (HC) and pelvic dimensions in the birth type and prediction of cesarean risk. Objective: In this study, anthropometric parameters of parents, such as height, weight, HC, and pelvic circumference and their relationships with the birth type in the first pregnancy, have been studied. Methods: This cross-sectional pilot study was conducted on healthy couples over 18 years of age. The mothers were primiparous, which had their first and full pregnancies with natural vaginal delivery or cesarean section (without elective cesarean). A trained expert measured the anthropometric data of parents, and the babies ‘data were collected from the neonatal record. Result: 33 cases completed full-term pregnancy, and of these mothers, 23 (69.7%) experienced natural vaginal deliveries (NVD) and 10 (30.3%) cesarean section (CS). The mean of the parent's HC in the CS group was significantly higher than those in the NVD group. Conclusion: The results showed that an increased average size of the parent's HC, especially in the mother with a smaller pelvic size, can logically increase the risk of cesarean section.