Maternal Cardiovascular Health in Early Pregnancy and Childhood Brain Structure

Carolina C V Silva1,2, Susana Santos1,2, Ryan L Muetzel3

  • 1The Generation R Study Group, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands.

Insights

Maternal cardiovascular health during pregnancy, including underweight and excessive weight gain, was linked to smaller brain volumes in children. Higher maternal diastolic blood pressure was associated with altered white matter microstructure in offspring.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Public Health

Background:

  • Poor maternal cardiovascular health during pregnancy is linked to adverse neurocognitive outcomes in children.
  • Understanding the long-term impact of maternal health on offspring brain development is crucial.

Purpose of the Study:

  • To investigate the association between maternal cardiovascular health factors in early pregnancy and offspring brain structure at age 10.
  • To identify specific maternal health metrics that may influence childhood brain development.

Main Methods:

  • Utilized data from 2797 mother-offspring pairs in the Generation R Study.
  • Collected maternal data on body mass index, gestational weight gain, blood pressure, insulin, glucose, and lipids.
  • Assessed childhood brain structure using magnetic resonance imaging (MRI) at 10 years of age.

Main Results:

  • Offspring of mothers with underweight had significantly smaller total brain volumes compared to normal weight mothers.
  • Mothers with gestational weight loss or no weight gain had offspring with smaller total brain volumes.
  • Higher maternal diastolic blood pressure was significantly associated with lower white matter mean diffusivity in 10-year-old children, indicating altered white matter microstructure.

Conclusions:

  • Maternal cardiovascular health during pregnancy, particularly diastolic blood pressure, may have a lasting impact on offspring brain structure.
  • Further research is needed to confirm these findings and explore potential causal relationships.

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