Project Info

Quantifying beta cell function in adolescent girls with PCOS

Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders affecting women of reproductive age. In addition to affecting fertility, PCOS has a distinct metabolic phenotype with insulin resistance (IR) that begins in adolescence and worsens over time, progressing towards type 2 diabetes (T2D) and other comorbid conditions. Decreased beta cell function is associated with the progression to diabetes. In this project we seek to apply mathematical modeling to quantify beta cell function. The development of minimally-invasive methodology to reliably assess beta cell function in adolescents would provide insight into the etiology of T2D in patients with PCOS and facilitate early intervention and targeted therapeutic treatment.

More Information

Ha et al., “A Mathematical Model of the Pathogenesis, Prevention, and Reversal of Type 2 Diabetes.” Endocrinology, 2016.
Albers et al., “Personalized glucose forecasting for type 2 diabetes using data assimilation.” PLoS Computational Biology, 2017.

Grand Engineering Challenge: Not applicable

Student Preparation

Qualifications

Familiarity with differential equations, MATLAB, and the basic modeling techniques covered in MATH 331 and/or MATH 472/572.

Time Commitment

20-40 hours/month

Skills/Techniques Gained

Skills in mathematical modeling; computational methods for solving systems of ODEs; experience with applied math techniques including Monte Carlo parameter optimization and data assimilation techniques, bifurcation analysis, etc.; training in interdisciplinary research in mathematical endocrinology.

Mentoring Plan

Weekly meetings with the student to discuss progress and next steps, inclusion of the student in research meetings with experimental collaborators, and incorporation of the student into the active AMS Math Bio Research group.