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Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results

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...

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Autores principales: Lizewska, Barbara, Teul, Joanna, Kuc, Pawel, Lemancewicz, Adam, Charkiewicz, Karol, Goscik, Joanna, Kacerovsky, Marian, Menon, Ramkumar, Miltyk, Wojciech, Laudanski, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833472/
https://www.ncbi.nlm.nih.gov/pubmed/29670470
http://dx.doi.org/10.1155/2018/9362820
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author Lizewska, Barbara
Teul, Joanna
Kuc, Pawel
Lemancewicz, Adam
Charkiewicz, Karol
Goscik, Joanna
Kacerovsky, Marian
Menon, Ramkumar
Miltyk, Wojciech
Laudanski, Piotr
author_facet Lizewska, Barbara
Teul, Joanna
Kuc, Pawel
Lemancewicz, Adam
Charkiewicz, Karol
Goscik, Joanna
Kacerovsky, Marian
Menon, Ramkumar
Miltyk, Wojciech
Laudanski, Piotr
author_sort Lizewska, Barbara
collection PubMed
description 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.
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spelling pubmed-58334722018-04-18 Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results Lizewska, Barbara Teul, Joanna Kuc, Pawel Lemancewicz, Adam Charkiewicz, Karol Goscik, Joanna Kacerovsky, Marian Menon, Ramkumar Miltyk, Wojciech Laudanski, Piotr Mediators Inflamm Research Article 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. Hindawi 2018-02-15 /pmc/articles/PMC5833472/ /pubmed/29670470 http://dx.doi.org/10.1155/2018/9362820 Text en Copyright © 2018 Barbara Lizewska et al. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Research Article
Lizewska, Barbara
Teul, Joanna
Kuc, Pawel
Lemancewicz, Adam
Charkiewicz, Karol
Goscik, Joanna
Kacerovsky, Marian
Menon, Ramkumar
Miltyk, Wojciech
Laudanski, Piotr
Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title_full Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title_fullStr Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title_full_unstemmed Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title_short Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
title_sort maternal plasma metabolomic profiles in spontaneous preterm birth: preliminary results
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833472/
https://www.ncbi.nlm.nih.gov/pubmed/29670470
http://dx.doi.org/10.1155/2018/9362820
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