Elemental metabolomics to identify pregnancy risk factors and predict gestational outcomes
Author(s)
McKeating, Daniel
Bennett, William
Clifton, Vicki
Zhang, Ping
Perkins, Anthony
Year published
2019
Metadata
Show full item recordAbstract
Objectives: Micronutrition is associated with a range of perinatal outcomes and risk factors known to cause gestational disorders. Asthma, BMI, and smoking have all shown to have significant effects on pregnancy outcomes such as preterm birth, and small for gestational age (SGA). This project aims to apply elemental metabolomics in plasma and urine to identify relationships between elemental concentrations and pregnancy risk factors, using this information to predict gestational outcomes.
Methods: Plasma and urine samples were obtained from a cohort of 18-week pregnant women from the Lyell McEwin Hospital (Adelaide, Australia). ...
View more >Objectives: Micronutrition is associated with a range of perinatal outcomes and risk factors known to cause gestational disorders. Asthma, BMI, and smoking have all shown to have significant effects on pregnancy outcomes such as preterm birth, and small for gestational age (SGA). This project aims to apply elemental metabolomics in plasma and urine to identify relationships between elemental concentrations and pregnancy risk factors, using this information to predict gestational outcomes. Methods: Plasma and urine samples were obtained from a cohort of 18-week pregnant women from the Lyell McEwin Hospital (Adelaide, Australia). Inductively coupled plasma mass spectrometry was used to measure 29 elements in plasma and urine from 117 patients (69 control, 48 complicated). Results: High BMI was associated with lower concentrations of essential elements magnesium, iron, and selenium in both plasma and urine (8.5% - 27%, p < 0.05) and higher concentrations of plasma copper (12%, p < 0.01). Asthmatic patients had increased levels of plasma sodium (5.9%, p < 0.05); whilst cobalt, cadmium, and caesium were lower, along with urinary manganese (24% - 81%, p < 0.05). Smoking was associated with higher urinary zinc, rubidium, and plasma cobalt (24% - 43%, p < 0.05). Using receiver operating characteristic curves, placental weight, SGA, and preterm birth were able to be detected at 18 weeks. Increased selenium and molybdenum in plasma predicted a placenta under 500 g with 89% accuracy. Babies born SGA were identified 88% of the time using the ratio of copper to strontium in plasma. In 80% of cases, urine thallium and iodine could distinguish preterm birth from term pregnancies. Conclusion: This study is the first to apply elemental metabolomics to multiple samples from 18-week pregnant women. The power of elemental metabolomics can be seen in its ability to possibly predict gestational outcomes early, providing insight into these complex disorders and risk factors.
View less >
View more >Objectives: Micronutrition is associated with a range of perinatal outcomes and risk factors known to cause gestational disorders. Asthma, BMI, and smoking have all shown to have significant effects on pregnancy outcomes such as preterm birth, and small for gestational age (SGA). This project aims to apply elemental metabolomics in plasma and urine to identify relationships between elemental concentrations and pregnancy risk factors, using this information to predict gestational outcomes. Methods: Plasma and urine samples were obtained from a cohort of 18-week pregnant women from the Lyell McEwin Hospital (Adelaide, Australia). Inductively coupled plasma mass spectrometry was used to measure 29 elements in plasma and urine from 117 patients (69 control, 48 complicated). Results: High BMI was associated with lower concentrations of essential elements magnesium, iron, and selenium in both plasma and urine (8.5% - 27%, p < 0.05) and higher concentrations of plasma copper (12%, p < 0.01). Asthmatic patients had increased levels of plasma sodium (5.9%, p < 0.05); whilst cobalt, cadmium, and caesium were lower, along with urinary manganese (24% - 81%, p < 0.05). Smoking was associated with higher urinary zinc, rubidium, and plasma cobalt (24% - 43%, p < 0.05). Using receiver operating characteristic curves, placental weight, SGA, and preterm birth were able to be detected at 18 weeks. Increased selenium and molybdenum in plasma predicted a placenta under 500 g with 89% accuracy. Babies born SGA were identified 88% of the time using the ratio of copper to strontium in plasma. In 80% of cases, urine thallium and iodine could distinguish preterm birth from term pregnancies. Conclusion: This study is the first to apply elemental metabolomics to multiple samples from 18-week pregnant women. The power of elemental metabolomics can be seen in its ability to possibly predict gestational outcomes early, providing insight into these complex disorders and risk factors.
View less >
Journal Title
Placenta
Volume
83
Subject
Biochemistry and cell biology
Clinical sciences
Reproductive medicine
Midwifery