Immunomodulatory effects of gestational age on blood cortisol and prolactin levels during pregnancy in malaria endemic area

Autor: Francois Kiemde, Hermann Sorgho, Serge Henri Zango, Gnohion Fabrice Some, Toussaint Rouamba, Ousmane Traore, Berenger Kabore, H. Magloire Natama, Yeri Esther Hien, Innocent Valea, Henk Schallig, Halidou Tinto
Rok vydání: 2023
DOI: 10.21203/rs.3.rs-2789551/v1
Popis: Background: The immunological shift occurring in pregnant women is crucial for the outcome of pregnancy. We conducted a study in pregnant women living in a malaria endemic area to determine the potential effect of gestational age on modulating the immune system by cortisol and prolactin production. Methods: Primigravidae and multigravidae with a gestational age between 16-20 weeks were included in the study and followed up to delivery and 6-7 weeks thereafter. Venous blood was collected at scheduled visit: Visit1 (V1; 16-20 weeks of amenorrhea), Visit2 (V2; 28 ±1 weeks of pregnancy), Visit3 (V3; 32 ±1 weeks of pregnancy), Visit4 (V4; delivery) and Visit5 (V5; 6-7 weeks after delivery). In addition, a cord blood sample was also collected at delivery. Nulliparous and primiparous/multiparous non-pregnant women were enrolled in the control group. Cortisol and prolactin plasma concentrations were measured using ichroma II and i-chamber apparatus. Light microscopy was used to detect Plasmodium falciparum infections. A linear mixed-effects regression (LMER) model was used to assess the association between the variation of cortisol titters and prolactin levels during the pregnancy and the post-partum. Results: Results showed that cortisol and prolactin levels in the peripheral blood were up-regulated during pregnancy. Concentrations of cortisol during follow-up was significantly higher in primigravidae than in multigravidae during the whole pregnancy (pConclusion: These results showed that the potential effects of cortisol and prolactin are related to gestational age. This could affect the susceptibility of pregnant women to infectious diseases such as malaria in endemic areas.
Databáze: OpenAIRE