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Toward an optimal contraception dosing strategy

  • Brenda Lyn A. Gavina
  • , Aurelio A. de Los Reyes V
  • , Mette S. Olufsen
  • , Suzanne Lenhart
  • , Johnny T. Ottesen

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Anovulation refers to a menstrual cycle characterized by the absence of ovulation. Exogenous hormones such as synthetic progesterone and estrogen have been used to attain this state to achieve contraception. However, large doses are associated with adverse effects such as increased risk for thrombosis and myocardial infarction. This study utilizes optimal control theory on a modified menstrual cycle model to determine the minimum total exogenous estrogen/progesterone dose, and timing of administration to induce anovulation. The mathematical model correctly predicts the mean daily levels of pituitary hormones LH and FSH, and ovarian hormones E2, P4, and Inh throughout a normal menstrual cycle and reflects the reduction in these hormone levels caused by exogenous estrogen and/or progesterone. Results show that it is possible to reduce the total dose by 92% in estrogen monotherapy, 43% in progesterone monotherapy, and that it is most effective to deliver the estrogen contraceptive in the mid follicular phase. Finally, we show that by combining estrogen and progesterone the dose can be lowered even more. These results may give clinicians insights into optimal formulations and schedule of therapy that can suppress ovulation.

Original languageEnglish
Article numbere1010073
JournalPLOS Computational Biology
Volume19
Issue number4
Pages (from-to)e1010073
ISSN1553-7358
DOIs
Publication statusPublished - 1 Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Contraception
  • Female menstrual cycle
  • Endocrine system
  • Health and disease
  • Optimixation
  • Mathematical Modeling

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