Identification of Indicators for Preterm Birth Using Retinoid Metabolites

Authors
You, Young-AhHwang, Soo-YeonKim, Soo-MinPark, SeojeongLee, Ga-InPark, SunwhaAnsari, AbuZarLee, JeongaeKwon, YoungjooKim, Young-Ju
Issue Date
2021-07
Publisher
MDPI
Citation
METABOLITES, v.11, no.7
Abstract
Metabolites reflect the biochemical dynamics for the maintenance of pregnancy and parturition. UPLC-Q/TOF-MS and LC-MS/MS metabolomics were performed to identify and validate the plasma metabolomic signatures of preterm birth (PTB). We recruited pregnant women between 16 and 40 weeks 5 days gestational age at Ewha Womans Mokdong Hospital for a nested case-control study. In untargeted UPLC-Q/TOF-MS, score plots of partial least-squares discriminant analysis clearly separated the PTB group from the term birth (TB, n = 10; PTB, n = 11). Fifteen metabolites were significantly different between the two groups, as indicated by a variable importance in projection >1 and p < 0.05. Metabolic pathways involving retinol, linoleic acid, d-arginine, and d-ornithine were associated with PTB. Verification by LC-MS/MS focused on retinol metabolism (TB, n = 39; PTB, n = 20). Retinol levels were significantly reduced in PTB compared to TB, while retinal palmitate, all-trans-retinal, and 13-cis-retinoic acid ((13)cis-RA) significantly increased (p < 0.05). Retinol-binding protein levels were also elevated in PTB. Additionally, all-trans-retinal (AUC 0.808, 95% CI: 0.683-0.933) and (13)cis-RA (AUC 0.826, 95% CI: 0.723-0.930) showed improved predictions for PTB-related retinol metabolites. This study suggests that retinoid metabolism improves the accuracy of PTB predictions and plays an important role in maintaining pregnancy and inducing early parturition.
Keywords
PREMATURE RUPTURE; BINDING-PROTEIN; PREGNANCY; LABOR; PREDICTION; DELIVERY; ACID; PREMATURE RUPTURE; BINDING-PROTEIN; PREGNANCY; LABOR; PREDICTION; DELIVERY; ACID; preterm birth; metabolomic analysis; retinoid metabolism; parturition; 13-cis-retinoic acid
ISSN
2218-1989
URI
https://pubs.kist.re.kr/handle/201004/116801
DOI
10.3390/metabo11070443
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KIST Article > 2021
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