# Disrupted immune senescence in early pregnancy is associated with recurrent pregnancy loss

**Authors:** Dimitar Parvanov, Rumiana Ganeva, Margarita Ruseva, Maria Handzhiyska, Lachezar Jelezarsky, Jinahn Safir, Dimitar Metodiev, Georgi Stamenov, Savina Hadjidekova

PMC · DOI: 10.3389/fimmu.2026.1705823 · Frontiers in Immunology · 2026-02-04

## TL;DR

The study finds that immune aging changes in early pregnancy are linked to a history of miscarriages, suggesting immune system disruption may contribute to pregnancy loss.

## Contribution

This study is the first to link immune senescence patterns in peripheral blood to recurrent pregnancy loss, identifying potential biomarkers.

## Key findings

- Senescent immune cells increase with more prior miscarriages, especially in granulocytes and monocytes.
- Disrupted senescence marker patterns correlate with proinflammatory T-cell populations like Th17 and Th1 cells.
- The study identifies p16, p21, and p53 as key senescence markers associated with pregnancy loss history.

## Abstract

Immune system adaptation plays a crucial role in pregnancy success. Cellular senescence, linked to immune dysfunction and chronic inflammation, may contribute to adverse pregnancy outcomes but remains poorly characterized during early gestation, at the systemic level.

To characterize senescence marker expression in peripheral leukocyte subsets in early pregnancy and to examine its association with miscarriage history and functionally distinct T helper cell populations.

This cross-sectional study included 52 pregnant women: 18 with recurrent pregnancy loss (≥2 miscarriages), 18 with one prior loss, and 16 controls with no loss history. Peripheral blood leukocytes were analyzed using an automated hematology analyzer and by flow cytometry for senescence markers (p16, p21, p53) and major T-cell subsets. Group differences were tested by ANOVA or Kruskal–Wallis test, as appropriate and exploratory Spearman correlation analyses examined associations between miscarriage number, senescent subsets, and T-cell populations.

Senescent cells were detected as percentages of granulocytes, monocytes, and lymphocytes, with granulocytes exhibiting the highest senescence expression. A consistent p21>p16>p53 expression pattern across immune subsets was observed in controls, suggesting a physiologic senescence hierarchy. This organization was progressively disrupted in miscarriage groups. A stepwise increase with miscarriage number was observed across subsets. Significant differences were observed in the median percentage of p16+ monocytes between controls, one prior loss and RPL patients (0.20%, 0.41%, and 0.57%, respectively; p = 0.03). Corresponding increases were also detected for p16+ lymphocytes (0.06%, 0.17%, 0.35%; p < 0.01), p21+ granulocytes (0.78%, 5.75%, 11.7%; p = 0.04), and p53+ granulocytes (4.01%, 7.05%, 8.35%; p = 0.05). Spearman analyses supported these trends and further revealed positive associations between p16+ monocytes and Th17 cells and between p53+ granulocytes and Th1 cells (p < 0.05).

Pregnancy loss history is associated with both quantitative and qualitative alterations in immune senescence profiles, including organizational remodeling of peripheral immune senescence. Analysis of proinflammatory and regulatory T-cell subsets revealed additional associations, suggesting immune senescence may interact with adaptive immune polarization in early pregnancy. These findings highlight disrupted immune senescence as a potential component of immune maladaptation and identify senescent immune cells as candidate biomarkers for recurrent miscarriage.

## Linked entities

- **Genes:** CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029], CDKN1A (cyclin dependent kinase inhibitor 1A) [NCBI Gene 1026], TP53 (tumor protein p53) [NCBI Gene 7157]

## Full-text entities

- **Genes:** Trp53-ps (transformation related protein 53, pseudogene) [NCBI Gene 22060], IL2RA (interleukin 2 receptor subunit alpha) [NCBI Gene 3559] {aka CD25, IDDM10, IL2R, IMD41, TCGFR, p55}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}, Cdkn2a (cyclin dependent kinase inhibitor 2A) [NCBI Gene 12578] {aka ARF-INK4a, Arf, INK4a-ARF, Ink4a/Arf, MTS1, Pctr1}, CXCR3 (C-X-C motif chemokine receptor 3) [NCBI Gene 2833] {aka CD182, CD183, CKR-L2, CMKAR3, GPR9, IP10-R}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, APC (APC regulator of Wnt signaling pathway) [NCBI Gene 324] {aka BTPS2, DESMD, DP2, DP2.5, DP3, GS}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, H3P16 (H3 histone pseudogene 16) [NCBI Gene 644914] {aka H3.6, H3F3AP6, p21}, CCR6 (C-C motif chemokine receptor 6) [NCBI Gene 1235] {aka BN-1, C-C CKR-6, CC-CKR-6, CCR-6, CD196, CKR-L3}, Cdkn1a (cyclin dependent kinase inhibitor 1A) [NCBI Gene 12575] {aka CAP20, CDKI, CIP1, Cdkn1, P21, SDI1}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, IL7R (interleukin 7 receptor) [NCBI Gene 3575] {aka CD127, CDW127, IL-7R-alpha, IL-7Ralpha, IL7RA, IL7Ralpha}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CXCR5 (C-X-C motif chemokine receptor 5) [NCBI Gene 643] {aka BLR1, CD185, MDR15}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CCR4 (C-C motif chemokine receptor 4) [NCBI Gene 1233] {aka CC-CKR-4, CD194, CKR4, CMKBR4, ChemR13, HGCN:14099}, CGB5 (chorionic gonadotropin subunit beta 5) [NCBI Gene 93659] {aka CGB, HCG}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** reproductive disorders (MESH:D060737), acute infection (MESH:D000208), autoimmune disease (MESH:D001327), implantation failure (MESH:D051437), chromosomal abnormalities (MESH:D002869), malignant disease (MESH:D009369), diabetes (MESH:D003920), mitochondrial dysfunction (MESH:D028361), chronic inflammation (MESH:D007249), fetal anomalies (MESH:D000013), pregnancy (MESH:D011254), infectious disease (MESH:D003141), chronic (MESH:D002908), thyroid dysfunction (MESH:D013959), Pregnancy loss (MESH:D000022), infection (MESH:D007239), metabolic or endocrine disorders (MESH:D004700), RPL (MESH:D000026), immune dysfunction (MESH:D007154), RPL (OMIM:614389), myeloid dysfunction (MESH:D023981)
- **Chemicals:** 7-AAD (MESH:C025942), EDTA (MESH:D004492), Alexa Fluor 647 (MESH:C569686), Cat# 130-111-565 (-)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12913187/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913187/full.md

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Source: https://tomesphere.com/paper/PMC12913187