First Trimester Urine and Serum Metabolomics for Prediction of Preeclampsia and Gestational Hypertension: A Prospective Screening Study.
(2015) In International Journal of Molecular Sciences 16(9). p.21520-21538- Abstract
- Hypertensive disorders of pregnancy, including preeclampsia, are major contributors to maternal morbidity. The goal of this study was to evaluate the potential of metabolomics to predict preeclampsia and gestational hypertension from urine and serum samples in early pregnancy, and elucidate the metabolic changes related to the diseases. Metabolic profiles were obtained by nuclear magnetic resonance spectroscopy of serum and urine samples from 599 women at medium to high risk of preeclampsia (nulliparous or previous preeclampsia/gestational hypertension). Preeclampsia developed in 26 (4.3%) and gestational hypertension in 21 (3.5%) women. Multivariate analyses of the metabolic profiles were performed to establish prediction models for the... (More)
- Hypertensive disorders of pregnancy, including preeclampsia, are major contributors to maternal morbidity. The goal of this study was to evaluate the potential of metabolomics to predict preeclampsia and gestational hypertension from urine and serum samples in early pregnancy, and elucidate the metabolic changes related to the diseases. Metabolic profiles were obtained by nuclear magnetic resonance spectroscopy of serum and urine samples from 599 women at medium to high risk of preeclampsia (nulliparous or previous preeclampsia/gestational hypertension). Preeclampsia developed in 26 (4.3%) and gestational hypertension in 21 (3.5%) women. Multivariate analyses of the metabolic profiles were performed to establish prediction models for the hypertensive disorders individually and combined. Urinary metabolomic profiles predicted preeclampsia and gestational hypertension at 51.3% and 40% sensitivity, respectively, at 10% false positive rate, with hippurate as the most important metabolite for the prediction. Serum metabolomic profiles predicted preeclampsia and gestational hypertension at 15% and 33% sensitivity, respectively, with increased lipid levels and an atherogenic lipid profile as most important for the prediction. Combining maternal characteristics with the urinary hippurate/creatinine level improved the prediction rates of preeclampsia in a logistic regression model. The study indicates a potential future role of clinical importance for metabolomic analysis of urine in prediction of preeclampsia. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8042001
- author
- Austdal, Marie ; Tangerås, Line H ; Skråstad, Ragnhild B ; Salvesen, Kjell LU ; Austgulen, Rigmor ; Iversen, Ann-Charlotte and Bathen, Tone F
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Molecular Sciences
- volume
- 16
- issue
- 9
- pages
- 21520 - 21538
- publisher
- MDPI AG
- external identifiers
-
- pmid:26370975
- wos:000364541000076
- scopus:84941247907
- pmid:26370975
- ISSN
- 1422-0067
- DOI
- 10.3390/ijms160921520
- language
- English
- LU publication?
- yes
- id
- 075be996-65fd-4fcb-b233-18092eb5d1ee (old id 8042001)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26370975?dopt=Abstract
- date added to LUP
- 2016-04-01 13:05:56
- date last changed
- 2022-03-06 03:45:05
@article{075be996-65fd-4fcb-b233-18092eb5d1ee,
abstract = {{Hypertensive disorders of pregnancy, including preeclampsia, are major contributors to maternal morbidity. The goal of this study was to evaluate the potential of metabolomics to predict preeclampsia and gestational hypertension from urine and serum samples in early pregnancy, and elucidate the metabolic changes related to the diseases. Metabolic profiles were obtained by nuclear magnetic resonance spectroscopy of serum and urine samples from 599 women at medium to high risk of preeclampsia (nulliparous or previous preeclampsia/gestational hypertension). Preeclampsia developed in 26 (4.3%) and gestational hypertension in 21 (3.5%) women. Multivariate analyses of the metabolic profiles were performed to establish prediction models for the hypertensive disorders individually and combined. Urinary metabolomic profiles predicted preeclampsia and gestational hypertension at 51.3% and 40% sensitivity, respectively, at 10% false positive rate, with hippurate as the most important metabolite for the prediction. Serum metabolomic profiles predicted preeclampsia and gestational hypertension at 15% and 33% sensitivity, respectively, with increased lipid levels and an atherogenic lipid profile as most important for the prediction. Combining maternal characteristics with the urinary hippurate/creatinine level improved the prediction rates of preeclampsia in a logistic regression model. The study indicates a potential future role of clinical importance for metabolomic analysis of urine in prediction of preeclampsia.}},
author = {{Austdal, Marie and Tangerås, Line H and Skråstad, Ragnhild B and Salvesen, Kjell and Austgulen, Rigmor and Iversen, Ann-Charlotte and Bathen, Tone F}},
issn = {{1422-0067}},
language = {{eng}},
number = {{9}},
pages = {{21520--21538}},
publisher = {{MDPI AG}},
series = {{International Journal of Molecular Sciences}},
title = {{First Trimester Urine and Serum Metabolomics for Prediction of Preeclampsia and Gestational Hypertension: A Prospective Screening Study.}},
url = {{http://dx.doi.org/10.3390/ijms160921520}},
doi = {{10.3390/ijms160921520}},
volume = {{16}},
year = {{2015}},
}