Andrea Tatiana Durán-Rodriguez , Marcos Paulo O. Almeida , Flávia Batista Ferreira , Laura Alejandra Lozano-Trujillo , Angelica Oliveira Gomes , Yusmaris Cariaco , Neide Maria Silva
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引用次数: 0
Abstract
Malaria infection during pregnancy, particularly caused by Plasmodium falciparum, poses significant risks, such as maternal anemia, low birth weight, preterm delivery, and increased infant mortality. This study investigated the role of macrophage migration inhibitory factor (MIF) in modulating pregnancy outcomes in a mouse model of gestational malaria. Herein, Mif-deficient (Mif–/–) and Mif-sufficient (wild-type) mice were used to evaluate the impact of MIF on maternal-fetal immune interactions during Plasmodium infection in three different stages of pregnancy. Mif–/– mice exhibited lower embryo resorption rates, preserved decidualization, and improved spiral artery remodeling compared with wild-type counterparts. Notably, although Mif deficiency was associated with increased parasitemia levels in late gestation, a shift toward a more anti-inflammatory phenotype in the uteroplacental tissues of infected mice contributed to better pregnancy outcomes. These results highlight the complex interplay between immune regulation and pregnancy in the context of malaria, indicating that targeting Mif may offer a therapeutic strategy to mitigate adverse pregnancy effects in infected individuals.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.