Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr 12;27(8):2475.
doi: 10.3390/molecules27082475.

Metabolomic Markers for Predicting Preeclampsia in the First Trimester of Pregnancy: A Retrospective Study

Affiliations

Metabolomic Markers for Predicting Preeclampsia in the First Trimester of Pregnancy: A Retrospective Study

Ekaterina V Ilgisonis et al. Molecules. .

Abstract

We sought to identify the characteristic metabolite profile of blood plasma samples obtained from patients with preeclampsia. Direct high-resolution mass spectrometry was used to analyze samples from 79 pregnant women, 34 of whom had preeclampsia. We performed a comparative analysis of the metabolite profiles and found that they differed between pregnant women with and without preeclampsia. Lipids and sugars were identified as components of the metabolite profile that are likely to be associated with the development of preeclampsia. While PE was established only in the third trimester, a set of metabolites specific for the third trimester, including 2-(acetylamino)-1,5-anhydro-2-deoxy-4-O-b-D-galactopyranosyl-D-arabino-Hex-1-enitol, N-Acetyl-D-glucosaminyldiphosphodolichol, Cer(d18:0/20:0), and allolithocholic acid, was already traced in the first trimester. These components are also likely involved in lipid metabolism disorders and the development of oxidative stress.

Keywords: digital medicine; direct mass spectrometry; metabolites; preeclampsia.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Frequencies (log scale) of nine m/z characteristics among four groups of patients without averaging over technical repetitions (TR). TR were considered as independent measurements. Group 1 and 2—a series of blood samples from patients in the control group and with developed PE, examined in the first trimester, respectively; Group 3 and 4—a series of blood samples from the study participants in the control group and with PE in the third trimester of pregnancy, respectively.

References

    1. Astari A.M., Evi N., Choiriyah M., Ariyani P., Fitriy A.L. Analysis of Differences in Individual Characteristics, Lifestyle, Nutritional Status and Dieting Patterns in Pregnant Women with Preeclampsian History. J. Ilmu Keperawatan J. Nurs. Sci. 2021;9:87–94. doi: 10.21776/ub.jik.2021.009.01.11. - DOI
    1. Say L., Chou D., Gemmill A., Tunçalp Ö., Moller A.-B., Daniels J., Gülmezoglu A.M., Temmerman M., Alkema L. Global Causes of Maternal Death: A WHO Systematic Analysis. Lancet Glob. Health. 2014;2:e323–e333. doi: 10.1016/S2214-109X(14)70227-X. - DOI - PubMed
    1. Rana S., Lemoine E., Granger J.P., Karumanchi S.A. Preeclampsia: Pathophysiology, Challenges, and Perspectives. Circ. Res. 2019;124:1094–1112. doi: 10.1161/CIRCRESAHA.118.313276. - DOI - PubMed
    1. Shalina R.I., Kasum-zade N.K., Konoplyannikov A.G., Latyshkevich O.A., Shekhovtsov D.B. Prediction and Prevention of Preeclampsia in the City Center for Family Planning and Reproduction. Obstet. Gynegol. 2020;7:61–70. doi: 10.18565/aig.2020.7.61-70. - DOI
    1. Nobakht M., Gh B.F. Application of Metabolomics to Preeclampsia Diagnosis. Syst. Biol. Reprod. Med. 2018;64:324–339. doi: 10.1080/19396368.2018.1482968. - DOI - PubMed

LinkOut - more resources