Computational modeling in pregnancy biomechanics research

Alys R Clark1, Kyoko Yoshida2, Michelle L Oyen3

  • 1Auckland Bioengineering Institute, University of Auckland, Private Bag, 92019, Auckland, 1142, New Zealand.

Insights

Computational biomechanical models offer new insights into pregnancy complications like preterm birth and pre-eclampsia. These in silico experiments explore complex maternal-fetal interactions, advancing reproductive health research where human studies are challenging.

Area of Science:

  • Bioengineering
  • Computational Biology
  • Reproductive Medicine

Background:

  • Major obstetrical syndromes affect 10-15% of pregnancies globally, causing significant costs.
  • Pregnancy involves complex physiological processes across multiple maternal organ systems.
  • Computational biomechanical approaches are increasingly used to study pregnancy due to research limitations in humans.

Purpose of the Study:

  • To review the history and current state of pregnancy bioengineering research.
  • To highlight the application of computational approaches in exploring the maternal-fetal dyad.
  • To demonstrate the potential of in silico experiments in pregnancy research.

Main Methods:

  • Fracture models to analyze preterm pre-labor rupture of fetal membranes.
  • Utero-placental interface models focusing on trophoblast function.
  • Multiscale framework to examine maternal cardiovascular adaptation during pregnancy.

Main Results:

  • Fracture models provide insights into the mechanisms of preterm pre-labor rupture of membranes.
  • Utero-placental interface models elucidate the immunological interactions at the maternal-fetal boundary.
  • Multiscale cardiovascular models reveal hormonal and mechanical influences on maternal heart growth.

Conclusions:

  • Computational biomechanical approaches offer powerful tools for studying complex pregnancy phenomena.
  • In silico research enables targeted investigations not feasible in human subjects.
  • Bioengineering significantly advances our understanding of maternal-fetal health and pregnancy disorders.

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
114
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
133
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
98
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
187