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Myeloid‐derived suppressor cells as a potential biomarker for recurrent pregnancy loss and recurrent implantation failure

医学 流式细胞术 生物标志物 髓源性抑制细胞 怀孕 抑制器 髓样 队列 免疫学 内科学 多路复用 肿瘤科 生物信息学 生物 癌症 生物化学 遗传学
作者
Nabil Subhi‐Issa,E. de la Fuente,Raquel Gil‐Laborda,Ángela Villegas,Bárbara Alonso‐Arenilla,Ignacio Cristóbal García,Lydia Pilar‐Suárez,Adolfo Jiménez‐Huete,Marta Calvo,Beatriz Sarriá,Mariló Mansilla‐Ruiz,Juliana Ochoa,Miguel Fernández‐Arquero,Silvia Sánchez‐Ramón
出处
期刊:American Journal of Reproductive Immunology [Wiley]
卷期号:90 (5): e13783-e13783 被引量:4
标识
DOI:10.1111/aji.13783
摘要

Abstract Problem Recurrent pregnancy loss (RPL) and recurrent implantation failure (RIF) represent distinct clinical conditions with established definitions, both of which have been linked to an underlying pro‐inflammatory state. This study aimed to explore the levels of monocytic‐myeloid‐derived suppressor cells (M‐MDSCs) and regulatory T cells (T Reg ) in a cohort of RPL and RIF women and their potential contribution to RPL and RIF. Method of study One hundred and eight non‐pregnant women were evaluated: 40 RPL, 41 RIF, and 27 fertile healthy controls (HC). A multiparametric flow cytometry approach was utilized to measure and quantify the frequency of M‐MDSCs and T Reg cells. Cytokine levels in plasma samples were evaluated through a multiplex assay. M‐MDSCs levels were significantly higher in RPL and RIF patients compared to HC. Results M‐MDSCs levels were significantly higher in RPL (9.4% [7–11.6]) and RIF (8.1% [5.9–11.6]) patients compared to HC (6% [4.2–7.6]). An optimal cut‐off of 6.1% for M‐MDSCs disclosed a sensitivity of 75.6% and 89.7% and a specificity of 57.7% and 57.7% in RIF and RPL groups, respectively. A significant negative correlation was observed between M‐MDSCs and T Reg ( p = .002, r = −.51). Conclusions Our preliminary data allowed us to build a predictive model that may aid as a potential diagnostic tool in the clinic. These findings could provide a better understanding of these pathologies and a better definition of patients that could benefit from personalized treatments to promote pregnancy. Additional exploration and confirmation in distinct study groups are needed to fully assess the diagnostic capabilities of this biomarker.
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