PLoS ONEImmunologyPeer-reviewed journal article
Postpartum cytokine shifts and IL-10-mediated immune suppression in malaria-infected primigravid women
Ousmane TraoréiD, Toussaint RouambaiD, Serge Henri ZangoiD, Hermann SorghoiD, Innocent ValéaiD, Maminata Traoré‐CoulibalyiD, Henk D. F. H. SchalligiD, Halidou TintoiD
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Abstract
BackgroundAccording to the World Health Organizations recent report, malaria remains a major health challenge during pregnancy and for postpartum women in endemic regions. While immune alterations during pregnancy are well characterized, postpartum cytokine dynamics and their impact on malaria susceptibility remain poorly defined. This study uniquely investigates how cytokine balance shifts, contribute to malaria susceptibility in primigravid women during the postpartum period. MethodsA total of 33 Burkinabe women were enrolled at delivery and followed up at 1 and 3 months postpartum. Serum cytokine concentrations (IL-4, IL-6, IL-10, TNF-, IFN-{gamma}) were quantified by ELISA. Malaria infection was detected by PCR and microscopy. Statistical analyses included effect size calculations and cluster analyses to assess immune profiles. ResultsAt delivery, 48.5% of women tested positive for malaria by PCR. Malaria-infected women had significantly elevated IL-10 levels and a decreased IL-6:IL-10 ratio compared with non-infected women (p = 0.005). This anti-inflammatory shift persisted into the during early postpartum period. Strong correlations were observed between IL-10 levels and malaria infection ({sigma} = 0.9, p < 0.001). Of note, IL-4 also showed a significant effect, highlighting a complex immunoregulatory environment. ConclusionOur findings reveal, for the first time in a Sub-Saharan primigravid cohort, that an IL-10-dominant cytokine profile at delivery is strongly associated with postpartum malaria susceptibility. Modulating cytokine responses could represent a novel therapeutic approach to improving maternal health in malaria-endemic regions.
- organism: human
- assay: proteomics
- research focus: host-pathogen & immune response
- approach: statistical model
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