A Maternal Serum Metabolite Ratio Predicts Large for Gestational Age Infants at Term: A Prospective Cohort Study

Author:

Sovio Ulla12ORCID,Goulding Neil345ORCID,McBride Nancy345ORCID,Cook Emma1ORCID,Gaccioli Francesca12ORCID,Charnock-Jones D Stephen12ORCID,Lawlor Deborah A345ORCID,Smith Gordon C S12ORCID

Affiliation:

1. Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK

2. Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK

3. NIHR Bristol Biomedical Research Centre, Bristol, UK

4. MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK

5. Population Health Sciences, Bristol Medical School, Bristol, UK

Abstract

Abstract Context Excessive birth weight is associated with maternal and neonatal complications. However, ultrasonically estimated large for gestational age (LGA; >90th percentile) predicts these complications poorly. Objective To determine whether a maternal serum metabolite ratio developed for fetal growth restriction (FGR) is predictive of birth weight across the whole range, including LGA at birth. Methods Metabolites were measured using ultrahigh performance liquid chromatography-tandem mass spectroscopy. The 4-metabolite ratio was previously derived from an analysis of FGR cases and a random subcohort from the Pregnancy Outcome Prediction study. Here, we evaluated its relationship at 36 weeks of gestational age (wkGA) with birth weight in the subcohort (n = 281). External validation in the Born in Bradford (BiB) study (n = 2366) used the metabolite ratio at 24 to 28 wkGA. Results The inverse of the metabolite ratio at 36 wkGA predicted LGA at term [the area under the receiver operating characteristic curve (AUROCC) = 0.82, 95% CI 0.73 to 0.91, P = 6.7 × 10−5]. The ratio was also inversely associated with birth weight z score (linear regression, beta = −0.29 SD, P = 2.1 × 10−8). Analysis in the BiB cohort confirmed that the ratio at 24 to 28 wkGA predicted LGA (AUROCC = 0.60, 95% CI 0.54 to 0.67, P = 8.6 × 10−5) and was inversely associated with birth weight z score (beta = −0.12 SD, P = 1.3 × 10−9). Conclusions A metabolite ratio which is strongly predictive of FGR is equally predictive of LGA birth weight and is inversely associated with birth weight across the whole range.

Funder

National Institute for Health Research

Cambridge Biomedical Research Centre

Medical Research Council

Wellcome Trust

National Institutes of Health

European Research Council

NIHR Senior Investigator

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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