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Author Spotlight: Investigating Physiological Functions of Vitamin A Transporters Using HPLC-Based Vitamin A Profiling
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Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective.

C H L Beentjes1, J P Taylor-King2, A Bayani3

  • 1Mathematical Institute, University of Oxford, Oxford, UK.

The Journal of Steroid Biochemistry and Molecular Biology
|March 31, 2019
PubMed
Summary

Vitamin D metabolism changes during pregnancy, and altered ratios of its metabolites, not just single levels, may indicate pre-eclampsia risk. Mathematical modeling offers new insights into these complex changes.

Keywords:
Mathematical modelMetabolomePreeclampsiaPregnancyVitamin D

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Area of Science:

  • Biochemistry
  • Mathematical Biology
  • Reproductive Endocrinology

Background:

  • Vitamin D deficiency is linked to adverse pregnancy outcomes, including pre-eclampsia (PET).
  • Current definitions rely solely on 25-hydroxyvitamin D3 (25(OH)D3) serum levels.
  • Pregnancy involves significant alterations in vitamin D metabolism.

Purpose of the Study:

  • To investigate comprehensive changes in vitamin D metabolism during normal and PET pregnancies.
  • To develop and apply a mathematical model of the vitamin D metabolic pathway.
  • To identify improved biomarkers for pre-eclampsia risk assessment.

Main Methods:

  • Developed a fully parametrised mathematical model of the vitamin D metabolic pathway using ordinary differential equations.
  • Utilized serum vitamin D metabolite data from non-pregnant controls, normal pregnant women (1st and 3rd trimesters), and PET patients.
  • Applied the model to a separate 2nd-trimester pregnancy cohort with prospective PET development.

Main Results:

  • Simple statistical analysis showed no significant difference in 25(OH)D3 or 24,25(OH)2D3 between late-term normal and PET pregnancies.
  • Model-informed analysis revealed that ratios of vitamin D metabolites in late pregnancy are better indicators of PET.
  • No significant predictive difference was found between groups at 15 weeks gestation using the model.

Conclusions:

  • Mathematical modeling provides a novel approach to understanding vitamin D's impact on health, particularly in pregnancy.
  • Altered ratios of vitamin D metabolites, rather than single metabolite levels, may serve as key indicators in pre-eclampsia.
  • This approach highlights the complexity of vitamin D metabolism during gestation and its dysregulation in pre-eclampsia.