# Comparing the circulating immune profile of women with and without recurrent implantation failure: a systematic review and meta-analysis

**Authors:** Daxina Bhatt, Yousef Alebrahim, Abdullah Shahzad, Lamiya Mohiyiddeen, Elizabeth Mann

PMC · DOI: 10.3389/fimmu.2025.1627514 · Frontiers in Immunology · 2025-10-27

## TL;DR

This study compares immune profiles in women with and without implantation failure, finding lower IL-4 levels in those with implantation issues.

## Contribution

The study provides a meta-analysis of immune markers in recurrent implantation failure, identifying IL-4 as potentially significant.

## Key findings

- Interleukin-4 (IL-4) levels were significantly lower in women with RIF compared to controls.
- Other immune analytes showed varied associations but no consistent significant differences.
- Study quality and heterogeneity limit the certainty of findings.

## Abstract

Embryo implantation is a complex process requiring a tightly regulated immunological dialogue at the maternal-embryonic interface. Disruptions in this dialogue, including alterations in immune cell function and cytokine production, have been implicated in implantation failure. This systematic review and meta-analysis aimed to quantitatively compare immune-related soluble mediators in the peripheral blood of women with unexplained recurrent implantation failure (RIF) and fertile controls.

This systematic review was conducted according to PRISMA principles. A comprehensive search was conducted across Embase, MEDLINE, and the Cochrane Central Register of Controlled Trials. The primary outcome measure was the differential concentration of immune analytes in blood and tissue samples between women with recurrent implantation failure and fertile controls. Meta-analysis was performed for five peripheral blood cytokines (IFN-γ, IL-4, TNF-α, IL-2, IL-6).

Some 12 studies reporting on 1483 patients met the final inclusion criteria for the review. The meta-analysis revealed a statistically significant difference only for Interleukin-4 (IL-4), which was lower in women with RIF compared to controls (MD -0.0298, 95% CI: -0.0436 to -0.0159, p < 0.0001). No significant differences were found for IFN-γ, TNF-α, IL-2, or IL-6. Individual studies reported varied associations for other analytes, including lower levels of Angiopoietin-2, MMP-7, VEGF, FGF1, Glycodelin A, and MUC1, and higher levels of PDGF, TGF-β isoforms and CCL2, IL-2 in RIF cohorts. The overall certainty of the evidence was rated as low, due to concerns about study quality and heterogeneity in RIF definitions, control group selection, and laboratory methodologies.

The review highlights that immune dysregulation is associated with RIF. In particular, IL-4 may play an important role although the clinical relevance of the small, measured difference is unclear. There is a need for international consensus on RIF definition, standardised methodological protocols, and large-scale prospective studies to validate potential immune biomarkers. Currently, there is insufficient evidence to support the routine use of peripheral blood cytokine levels as diagnostic markers for RIF or to guide immunomodulatory treatment.

https://www.crd.york.ac.uk/prospero/, identifier PROSPERO 42024577277.

## Linked entities

- **Proteins:** IFNG (interferon gamma), IL4 (interleukin 4), TNF (tumor necrosis factor), IL2 (interleukin 2), IL6 (interleukin 6), ANGPT2 (angiopoietin 2), MMP7 (matrix metallopeptidase 7), VEGFA (vascular endothelial growth factor A), FGF1 (fibroblast growth factor 1), MUC1 (mucin 1, cell surface associated), pdgfa.S (platelet derived growth factor subunit A S homeolog), TGFB1 (transforming growth factor beta 1), CCL2 (C-C motif chemokine ligand 2)

## Full-text entities

- **Genes:** PAEP (progestagen associated endometrial protein) [NCBI Gene 5047] {aka GD, GdA, GdF, GdS, PAEG, PEP}, MUC1 (mucin 1, cell surface associated) [NCBI Gene 4582] {aka ADMCKD, ADMCKD1, ADTKD2, CA 15-3, CD227, Ca15-3}, ANGPT2 (angiopoietin 2) [NCBI Gene 285] {aka AGPT2, ANG2, LMPHM10}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, FGF1 (fibroblast growth factor 1) [NCBI Gene 2246] {aka AFGF, ECGF, ECGF-beta, ECGFA, ECGFB, FGF-1}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, MMP7 (matrix metallopeptidase 7) [NCBI Gene 4316] {aka MMP-7, MPSL1, PUMP-1}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}
- **Diseases:** RIF (MESH:D051437), immune dysregulation (OMIM:614878)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12597810/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC12597810/full.md

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Source: https://tomesphere.com/paper/PMC12597810