Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F18%3A10374860" target="_blank" >RIV/00216208:11150/18:10374860 - isvavai.cz</a>
Alternative codes found
RIV/00179906:_____/18:10374860
Result on the web
<a href="https://doi.org/10.1155/2018/9362820" target="_blank" >https://doi.org/10.1155/2018/9362820</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2018/9362820" target="_blank" >10.1155/2018/9362820</a>
Alternative languages
Result language
angličtina
Original language name
Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results
Original language description
To profile maternal plasma metabolome in spontaneous preterm birth. 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. 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. 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30214 - Obstetrics and gynaecology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mediators of Inflammation
ISSN
0962-9351
e-ISSN
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Volume of the periodical
2018
Issue of the periodical within the volume
2018
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
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UT code for WoS article
000426160200001
EID of the result in the Scopus database
2-s2.0-85048859653