Prevention of Prematurity: Advances and Opportunities

Balaji Govindaswami1, Priya Jegatheesan1, Matthew Nudelman1

  • 1Division of Neonatology, Pediatrics, Santa Clara Valley Medical Center: Hospital and Clinics, 751 South Bascom Avenue, San Jose, CA 95128, USA.

Clinics in Perinatology
|August 27, 2018
PubMed

Insights

Preterm birth (PTB) prevention strategies are evolving, moving beyond current medical interventions to incorporate sociodemographic factors, lifestyle, and genetic variations for personalized approaches. Future research will utilize advanced statistical and big-data models to understand PTB causes and reduce disparities.

Area of Science:

  • Obstetrics and Gynecology
  • Genetics
  • Public Health

Background:

  • Preterm birth (PTB) rates exhibit significant global variation and disparities across racial and ethnic groups.
  • The complex etiology of PTB involves socioenvironmental, phenotypic, and genotypic factors, with limited understanding of causal mechanisms.
  • Individual responses to existing medical interventions for PTB may be influenced by pharmacogenomic differences.

Purpose of the Study:

  • To explore current and future strategies for preventing preterm birth (PTB).
  • To highlight the role of pharmacogenomics in varied treatment responses.
  • To emphasize the need for integrating sociodemographic, lifestyle, and genetic data in future PTB prevention.

Main Methods:

  • Review of existing literature on PTB prevention strategies.
  • Analysis of factors contributing to PTB, including socioenvironment, phenotype, and genotype.
  • Discussion of the potential of pharmacogenomics in personalized PTB management.
  • Exploration of statistical and big-data approaches for future research.

Main Results:

  • Current PTB prevention focuses on minimizing iatrogenic births and risk reduction in high-risk individuals.
  • Pharmacogenomics offers a potential explanation for differential responses to medical interventions.
  • Future prevention will integrate comprehensive individual data, including sociodemographics, lifestyle, and genetic/epigenetic variations.

Conclusions:

  • Effective PTB prevention requires a multifaceted approach considering individual variability.
  • Advancements in understanding genetic and epigenetic factors are crucial for developing targeted preventive strategies.
  • The integration of big-data analytics is essential for future PTB research and prevention efforts.

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