Maternal plasma n-3 and n-6 polyunsaturated fatty acids during pregnancy and features of fetal health: Fetal growth velocity, birth weight and duration of pregnancy

Mil, Nina H. Grootendorst‐van; Tiemeier, Henning; Graaff, Jolien Steenweg–de; Koletzko, Berthold; Demmelmair, Hans; Jaddoe, Vincent W. V.; Steegers, Eric A.P.; Steegers‐Theunissen, Régine P.M.

doi:10.1016/j.clnu.2017.06.010

Cited by 34 publications

(29 citation statements)

References 37 publications

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“…No study to date has examined maternal dietary patterns in relation to offspring weight beyond childhood; the long follow-up of the children covering the ages between 12 and 23 years is therefore novel. The use of the diet quality indices can be seen as an advantage because they capture overall diet quality taking into account the complex nature of the habitual diet [23]; however, any potential effects of individual dietary components [50] could be cancelled out by opposing effects of individual nutrients or food groups.…”

Section: Discussionmentioning

confidence: 99%

Maternal healthful dietary patterns during peripregnancy and long-term overweight risk in their offspring

et al. 2020

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Adherence to healthful dietary patterns is associated with lower body mass index (BMI) in adults; however, whether maternal diet quality during peripregnancy is related to a lower overweight risk in the offspring remains to be elucidated. We investigated the associations between the Alternate Healthy Eating Index (AHEI), Alternate Mediterranean Diet (aMED) and Dietary Approach to Stop Hypertension (DASH) during peripregnancy and offspring weight outcomes in a study including 2729 mother-child pairs from the Nurses' Health Study II and offspring cohort Growing Up Today Study II. Children, 12-14 years at baseline were 21-23 years at the last follow-up. Overweight or obesity was defined according to International Obesity Task Force (< 18 years) and World-Health-Organization guidelines (18 + years). Maternal dietary patterns were calculated from food frequency questionnaires. Log-binomial models were used to estimate relative risks (RR) and 95% confidence intervals. In models adjusted for sex, gestational age at delivery and maternal total energy intake, greater maternal adherence to aMED and DASH, but not AHEI, was associated with lower overweight risk in the offspring (RR Q5 vs Q1 = 0.82 [0.70-0.97] for aMED and 0.86 [0.72-1.04] for DASH, P for trend < 0.05 for both). After additional adjustment for maternal pre-pregnancy lifestyle factors and socio-demographic characteristic, none of the diet quality scores were significantly associated with offspring overweight risk. Maternal pre-pregnancy BMI did not modify any of these associations. In this population of generally well-nourished women, maternal healthful dietary patterns during the period surrounding pregnancy were not independently associated with offspring overweight risk at ages 12-23 years.

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Section: Discussionmentioning

confidence: 99%

Maternal healthful dietary patterns during peripregnancy and long-term overweight risk in their offspring

et al. 2020

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“…Glycerophospholipids consist of fatty acid chains and have been previously cited as strong correlates to birth weight, pregnancy duration and risk of preterm birth. 36 These same authors also found different polyunsaturated fatty acid components of glycerophospholipid had differential effects on fetal growth. Gao et al has reported a potential association between glycerophospholipid and labour timing in rodent models.…”

Section: Clinical and Research Implicationsmentioning

confidence: 91%

Maternal metabolic profiling to assess fetal gestational age and predict preterm delivery: a two-centre retrospective cohort study in the US

Sylvester

Hao²,

You

et al. 2020

BMJ Open

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ObjectivesThe aim of this study was to develop a single blood test that could determine gestational age and estimate the risk of preterm birth by measuring serum metabolites. We hypothesised that serial metabolic modelling of serum analytes throughout pregnancy could be used to describe fetal gestational age and project preterm birth with a high degree of precision.Study designA retrospective cohort study.SettingTwo medical centres from the USA.ParticipantsThirty-six patients (20 full-term, 16 preterm) enrolled at Stanford University were used to develop gestational age and preterm birth risk algorithms, 22 patients (9 full-term, 13 preterm) enrolled at the University of Alabama were used to validate the algorithms.Outcome measuresMaternal blood was collected serially throughout pregnancy. Metabolic datasets were generated using mass spectrometry.ResultsA model to determine gestational age was developed (R2=0.98) and validated (R2=0.81). 66.7% of the estimates fell within ±1 week of ultrasound results during model validation. Significant disruptions from full-term pregnancy metabolic patterns were observed in preterm pregnancies (R2=−0.68). A separate algorithm to predict preterm birth was developed using a set of 10 metabolic pathways that resulted in an area under the curve of 0.96 and 0.92, a sensitivity of 0.88 and 0.86, and a specificity of 0.96 and 0.92 during development and validation testing, respectively.ConclusionsIn this study, metabolic profiling was used to develop and test a model for determining gestational age during full-term pregnancy progression, and to determine risk of preterm birth. With additional patient validation studies, these algorithms may be used to identify at-risk pregnancies prompting alterations in clinical care, and to gain biological insights into the pathophysiology of preterm birth. Metabolic pathway-based pregnancy modelling is a novel modality for investigation and clinical application development.

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“…They also showed that lower maternal n3 and higher n6 FA levels at delivery were associated with low birth weight. Grootendorst-van Mil et al 21 reported that higher maternal n3:n6 FA ratio in midpregnancy was associated with higher ultrasound-measured growth velocity of fetal weight, length, and head circumference. Here, we additionally report that the association between maternal FA concentrations and fetal growth may be strongest in OWOB women, who have higher baseline inflammation levels.…”

Section: Discussionmentioning

confidence: 99%

Maternal BMI, Mid-pregnancy Fatty Acid Concentrations, and Perinatal Outcomes

Penfield-Cyr

Monthé-Drèze

Smid

et al. 2018

Clinical Therapeutics

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Maternal plasma n-3 and n-6 polyunsaturated fatty acids during pregnancy and features of fetal health: Fetal growth velocity, birth weight and duration of pregnancy

Cited by 34 publications

References 37 publications

Maternal healthful dietary patterns during peripregnancy and long-term overweight risk in their offspring

Maternal healthful dietary patterns during peripregnancy and long-term overweight risk in their offspring

Maternal metabolic profiling to assess fetal gestational age and predict preterm delivery: a two-centre retrospective cohort study in the US

Maternal BMI, Mid-pregnancy Fatty Acid Concentrations, and Perinatal Outcomes

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