Optimizing oral contraceptive timing: Daytime intake reduces doses and enhances efficacy
Contraception is essential for reproductive health and women's empowerment because it allows informed choices about pregnancy prevention. Oral contraceptives (OCs) are a popular method due to their accessibility and high level of effectiveness in attaining contraception through the suppression of ovulation. However, current OC regimens do not consider circadian hormonal rhythms, which significantly influence hormone secretion and drug metabolism. Accounting for circadian rhythms may further reduce the dosage of current formulations, which pose risks, including an increased likelihood of venous thromboembolism. We addressed this gap by developing a mathematical model that integrates circadian rhythms with contraceptive pharmacokinetics. Our results show that daytime OC dosing reduces the required ethinyl estradiol (EE) dose by about 6% and the required dienogest (DNG) dose by about 52% compared to evening dosing, due to the alignment of EE and DNG concentrations with luteinizing hormone production peaks. We further lowered the EE dose by about 67% using an optimal nonconstant regimen and decreased the number of intake days from 21 to 8. This dual-timescale optimization demonstrates how incorporating circadian rhythms can significantly enhance contraceptive regimens, enabling safer and more effective dosing strategies with broader implications for chronopharmacological interventions.
Authors
- Soyoung Kim (ORCID: https://orcid.org/0000-0002-8678-5341)
- Olive R. Cawiding
- Brenda Lyn Gavina
- Taeyong Lee
- Sunhwa Choi
- Jae Kwang Kim
- Sungwook Choi
Institutions
- Inserm (FR)
- Korea Advanced Institute of Science and Technology (KR)
- Institut Pasteur (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Korea University (KR)
- Université Paris Cité (FR)
- Université Paris-Saclay (FR)
- Maria Fertility Hospital (KR)
- Centre de recherche en Epidémiologie et Santé des Populations (FR)
- Institute for Basic Science (KR)
- National Institute for Mathematical Sciences (KR)
- University of the Philippines Diliman (PH)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1371/journal.pcbi.1014040
- Primary Topic
- Reproductive Health and Contraception
- Type
- article
- Field-Weighted Citation Impact
- 0.00