Multivariate model predicts immune imbalance in recurrent pregnancy loss and recurrent implantation failure.

ABSTRACT:

Abstract

Recurrent pregnancy loss (RPL) and recurrent implantation failure (RIF) are thought to arise from distinct yet partially overlapping causes, with a substantial number of cases associated with immune system alterations. We hypothesized that a peripheral blood signature integrating natural killer (NK) cell receptor status, monocyte activation, myeloid-derived suppressor cell (MDSC) abundance, and regulatory T cell (TReg) levels would more accurately distinguish each disorder from non-pregnant healthy controls than any single biomarker. We enrolled 194 women and performed deep immunophenotyping of NK cells, monocytes, MDSC, and TReg. Variable selection was performed with the Boruta algorithm, followed by multivariate logistic regression modelling. For RPL, the final model inc

SUBMITTER: Subhi-Issa N 

PROVIDER: S-EPMC12927546 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature