TY - JOUR
T1 - Maternal plasma metabolomic profiles in spontaneous preterm birth
T2 - Preliminary results
AU - Lizewska, Barbara
AU - Teul, Joanna
AU - Kuc, Pawel
AU - Lemancewicz, Adam
AU - Charkiewicz, Karol
AU - Goscik, Joanna
AU - Kacerovsky, Marian
AU - Menon, Ramkumar
AU - Miltyk, Wojciech
AU - Laudanski, Piotr
N1 - Publisher Copyright:
© 2018 Barbara Lizewska et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2018
Y1 - 2018
N2 - Objective. To profile maternal plasma metabolome in spontaneous preterm birth. Method. In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (n=57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy (n=49)), and with term delivery (n=25). Plasma samples were analysed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) in positive and negative polarity modes. Results. We found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups. Conclusions. Maternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.
AB - Objective. To profile maternal plasma metabolome in spontaneous preterm birth. Method. In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (n=57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy (n=49)), and with term delivery (n=25). Plasma samples were analysed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) in positive and negative polarity modes. Results. We found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups. Conclusions. Maternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.
UR - http://www.scopus.com/inward/record.url?scp=85048859653&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048859653&partnerID=8YFLogxK
U2 - 10.1155/2018/9362820
DO - 10.1155/2018/9362820
M3 - Article
C2 - 29670470
AN - SCOPUS:85048859653
SN - 0962-9351
VL - 2018
JO - Mediators of inflammation
JF - Mediators of inflammation
M1 - 9362820
ER -