Title |
Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother–child cohort study
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Published in |
BMC Medicine, July 2014
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DOI | 10.1186/1741-7015-12-110 |
Pubmed ID | |
Authors |
Léa Maitre, Eleni Fthenou, Toby Athersuch, Muireann Coen, Mireille B Toledano, Elaine Holmes, Manolis Kogevinas, Leda Chatzi, Hector C Keun |
Abstract |
Preterm birth (PB) and fetal growth restriction (FGR) convey the highest risk of perinatal mortality and morbidity, as well as increasing the chance of developing chronic disease in later life. Identifying early in pregnancy the unfavourable maternal conditions that can predict poor birth outcomes could help their prevention and management. Here we used an exploratory metabolic profiling approach (metabolomics) to investigate the association between birth outcomes and metabolites in maternal urine collected early in pregnancy as part of the prospective mother-child cohort Rhea study. Metabolomic techniques can simultaneously capture information about genotype and its interaction with the accumulated exposures experienced by an individual from their diet, environment, physical activity or disease (the exposome). As metabolic syndrome has previously been shown to be associated with PB in this cohort, we sought to gain further insight into PB-linked metabolic phenotypes and to define new predictive biomarkers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 11 | 17% |
United States | 10 | 16% |
Australia | 4 | 6% |
Spain | 2 | 3% |
Saudi Arabia | 1 | 2% |
Ireland | 1 | 2% |
Mexico | 1 | 2% |
Tanzania, United Republic of | 1 | 2% |
India | 1 | 2% |
Other | 4 | 6% |
Unknown | 28 | 44% |
Demographic breakdown
Type | Count | As % |
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Scientists | 5 | 8% |
Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
India | 1 | <1% |
Brazil | 1 | <1% |
Korea, Republic of | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 245 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 43 | 17% |
Student > Ph. D. Student | 41 | 16% |
Student > Bachelor | 37 | 15% |
Student > Master | 27 | 11% |
Other | 8 | 3% |
Other | 39 | 16% |
Unknown | 56 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 63 | 25% |
Agricultural and Biological Sciences | 28 | 11% |
Biochemistry, Genetics and Molecular Biology | 25 | 10% |
Nursing and Health Professions | 15 | 6% |
Social Sciences | 7 | 3% |
Other | 47 | 19% |
Unknown | 66 | 26% |