4.4 Article

Immunophenotyping of peripheral blood monocytes could help identify a baseline pro-inflammatory profile in women with recurrent reproductive failure

Journal

JOURNAL OF REPRODUCTIVE IMMUNOLOGY
Volume 154, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.jri.2022.103735

Keywords

Recurrent Pregnancy Loss; Recurrent Implantation Failure; Monocytes; CCR5; CX3CR1

Funding

  1. Carlos III Institute of Health, Ministry of Economy and Competitiveness (Spain) [PI16/01428]
  2. European Regional Development Fund (ERDF)

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This study aimed to evaluate the role of monocyte subsets and cytokines in RPL and RIF women. The study found that CX3CR1+ and CCR5+ intermediate monocytes were significantly higher in RPL and RIF, and there was a significant positive correlation between CX3CR1+ intermediate monocytes and IL-17A. The combination of specific monocyte subsets and cytokines could aid in identifying RPL and RIF women with a pro-inflammatory profile.
Recurrent pregnancy loss (RPL) and recurrent implantation failure (RIF) are two well-defined clinical entities, but the role of the monocytes in their pathophysiology needs to be clarified. This study aimed to evaluate the role of the three monocyte subsets (classical, intermediate, and non-classical) and relevant cytokines/chemokines in a cohort of RPL and RIF women to better characterize a baseline proinflammatory profile that could define in-flammatory pathophysiology in these two different conditions. We evaluated 108 non-pregnant women: 53 RPL, 24 RIF, and 31 fertile healthy controls (HC). Multiparametric flow cytometry was used to quantify the frequency of surface chemokine receptors (CCR2, CCR5, and CX3CR1) on the monocyte subsets. Cytokines were assessed in plasma samples using a multiplex assay. The CX3CR1+ and CCR5+ intermediate monocytes were significantly higher in RPL and RIF compared to HC. A significant positive correlation was observed between CX3CR1+ in-termediate monocytes and IL-17A (P = .03, r = 0.43). The Boruta algorithm followed by a multivariate logistic regression model was used to select the most relevant variables that could help define RPL and RIF: in RPL were CX3CR1 non-classical monocytes, TGF-beta 1, and CCR5 intermediate monocytes; in RIF: CCR5 intermediate monocytes and TGF-beta 3. The combination of these variables could predict RPL and RIF with 90 % and 82 %, respectively. Our study suggests that a combination of specific blood monocyte subsets and cytokines could aid in identifying RPL and RIF women with a pro-inflammatory profile. These findings could provide a more integrated understanding of these pathologies. Further investigation and validation in independent cohorts are warranted.

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