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
. 2019 Sep 10;15(9):124.
doi: 10.1007/s11306-019-1587-1.

Metabolomics to reveal biomarkers and pathways of preterm birth: a systematic review and epidemiologic perspective

Affiliations

Metabolomics to reveal biomarkers and pathways of preterm birth: a systematic review and epidemiologic perspective

R A Carter et al. Metabolomics. .

Abstract

Introduction: Most known risk factors for preterm birth, a leading cause of infant morbidity and mortality, are not modifiable. Advanced molecular techniques are increasingly being applied to identify biomarkers and pathways important in disease development and progression.

Objectives: We review the state of the literature and assess it from an epidemiologic perspective.

Methods: PubMed, Embase, CINAHL, and Cochrane Central were searched on January 31, 2019 for original articles published after 1998 that utilized an untargeted metabolomic approach to identify markers of preterm birth. Eligible manuscripts were peer-reviewed and included original data from untargeted metabolomics analyses of maternal tissue derived from human studies designed to determine mechanisms and predictors of preterm birth.

Results: Of 2823 results, 14 articles met the inclusion requirements. There was little consistency in study design, outcome definition, type of biospecimen, or the inclusion of covariates and confounding factors, and few consistent associations with metabolites were identified in this review.

Conclusion: Studies to date on metabolomic predictors of preterm birth are highly heterogeneous in both methodology and resulting metabolite identification. There is an urgent need for larger studies in well-defined populations, to determine biomarkers predictive of preterm birth, and to reveal mechanisms and targets for development of intervention strategies.

Keywords: Biomarker; Metabolite; Metabolomics; Preterm birth.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest

The authors declare they have no conflict of interest

Figures

Figure 1
Figure 1
Flowchart outlining the protocol adopted in this systematic review 1Data not available for extraction is a combination of studies with no individual level measurement of exposure (n=2) or studies with combined outcomes (n=1)

Similar articles

Cited by

References

    1. (2007) Societal Costs of Preterm Birth in Behrman RE and Butler AS (Eds), Preterm Birth: Causes, Consequences, and Prevention, National Academies Press (US), Washington (DC) pp. 298–429. - PubMed
    1. Baraldi E, Giordano G, Stocchero M, Moschino L, Zaramella P, Tran MR, Carraro S, Romero R and Gervasi MT (2016) Untargeted Metabolomic Analysis of Amniotic Fluid in the Prediction of Preterm Delivery and Bronchopulmonary Dysplasia. PLoS One 11, e0164211. - PMC - PubMed
    1. Bartel J, Krumsiek J and Theis FJ (2013) Statistical methods for the analysis of high-throughput metabolomics data. Comput Struct Biotechnol J 4, e201301009. - PMC - PubMed
    1. Beger RD, Dunn W, Schmidt MA, Gross SS, Kirwan JA, Cascante M, Brennan L, Wishart DS, Oresic M, Hankemeier T, Broadhurst DI, Lane AN, Suhre K, Kastenmuller G, Sumner SJ, Thiele I, Fiehn O, Kaddurah-Daouk R, for “Precision, M. and Pharmacometabolomics Task Group”-Metabolomics Society, I. (2016) Metabolomics enables precision medicine: “A White Paper, Community Perspective”. Metabolomics 12, 149. - PMC - PubMed
    1. Beger RD, Dunn WB, Bandukwala A, Bethan B, Broadhurst D, Clish CB, Dasari S, Derr L, Evans A, Fischer S, Flynn T, Hartung T, Herrington D, Higashi R, Hsu PC, Jones C, Kachman M, Karuso H, Kruppa G, Lippa K, Maruvada P, Mosley J, Ntai I, O’Donovan C, Playdon M, Raftery D, Shaughnessy D, Souza A, Spaeder T, Spalholz B, Tayyari F, Ubhi B, Verma M, Walk T, Wilson I, Witkin K, Bearden DW and Zanetti KA (2019) Towards quality assurance and quality control in untargeted metabolomics studies. Metabolomics 15, 4. - PMC - PubMed

Publication types

LinkOut - more resources