Predicting Preterm Birth Using Proteomics

Clin Perinatol. 2024 Jun;51(2):391-409. doi: 10.1016/j.clp.2024.02.011. Epub 2024 Mar 23.

Abstract

The complexity of preterm birth (PTB), both spontaneous and medically indicated, and its various etiologies and associated risk factors pose a significant challenge for developing tools to accurately predict risk. This review focuses on the discovery of proteomics signatures that might be useful for predicting spontaneous PTB or preeclampsia, which often results in PTB. We describe methods for proteomics analyses, proteomics biomarker candidates that have so far been identified, obstacles for discovering biomarkers that are sufficiently accurate for clinical use, and the derivation of composite signatures including clinical parameters to increase predictive power.

Keywords: Biomarkers; Biosignatures; Composite signatures; Computation; Multiomics; Omics; Preeclampsia; Proteome.

Publication types

  • Review
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers* / metabolism
  • Female
  • Humans
  • Infant, Newborn
  • Pre-Eclampsia / diagnosis
  • Pre-Eclampsia / metabolism
  • Predictive Value of Tests
  • Pregnancy
  • Premature Birth*
  • Proteomics*

Substances

  • Biomarkers