Your browser doesn't support javascript.
loading
Toward an optimal contraception dosing strategy.
Gavina, Brenda Lyn A; de Los Reyes V, Aurelio A; Olufsen, Mette S; Lenhart, Suzanne; Ottesen, Johnny T.
Afiliação
  • Gavina BLA; Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines.
  • de Los Reyes V AA; Maritime Academy of Asia and the Pacific, Bataan, Philippines.
  • Olufsen MS; Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines.
  • Lenhart S; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, Republic of Korea.
  • Ottesen JT; Department of Mathematics, North Carolina State University, Raleigh, North Carolina, United States of America.
PLoS Comput Biol ; 19(4): e1010073, 2023 04.
Article em En | MEDLINE | ID: mdl-37053167
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Progesterona / Anovulação Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Progesterona / Anovulação Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2023 Tipo de documento: Article