Blood CD4+CD25+ T regulatory cells constitute a potential predictive marker of subsequent miscarriage in unexplained recurrent pregnancy loss

Immunological Indicators of Recurrent Pregnancy Loss: A Mendelian Randomization Study

Recurrent pregnancy loss (RPL) is thought to be related to maternal-fetal immune tolerance disorders. Immune monitoring of RPL patients mainly involves two aspects: inflammatory factors and immune cells. However, most observational studies have reported controversial findings. This study aimed to confirm whether abnormal inflammatory factors and immune cells in peripheral blood may lead to RPL, and guide clinical immune monitoring. We demonstrated causality using two-sample Mendelian randomization. Sensitivity analysis, reverse Mendelian randomization and meta-analysis were used to enhance the effectiveness of the results. There was a causal relationship between the level of IL-12 (OR = 1.78, 95% CI = 1.25-2.55; P = 0.00149) and RPL for 41 inflammatory factors. We screened 5 groups of immune cell subtypes that were causally associated with RPL: switched memory B-cell absolute count (OR = 0.66, 95% CI = 0.49-0.87, P = 0.00406), IgD + CD24 + B-cell absolute count (OR = 0.69, 95% CI = 0.53-0.88, P = 0.00319), CD39 + resting CD4 regulatory T-cell %CD4 regulatory T-cell (OR = 0.86, 95% CI = 0.78-0.95, P = 0.00252), activated & resting CD4 regulatory T-cell %CD4 regulatory T-cell (OR = 0.89, 95% CI = 0.82-0.97, P = 0.00938) and CD45 RA + CD28-CD8 + T-cell %CD8 + T-cell (OR = 0.99, 95% CI = 0.98-1.00, P = 0.01231). In terms of inflammatory factors, a causal relationship between IL-12 and RPL in peripheral blood was confirmed. We also identified five immune cell phenotypes that play a protective role. This suggests that there may be protective B cells and CD8 + T-cell subsets in peripheral blood, and the protective effect of Tregs was proved again. Immune monitoring of peripheral blood in patients with RPL seems to be necessary and the foundation for precision medicine.

Bulk RNA-sequencing, single-cell RNA-sequencing analysis, and experimental validation reveal iron metabolism-related genes CISD2 and CYP17A1 are potential diagnostic markers for recurrent pregnancy loss

BACKGROUND

Recurrent pregnancy loss (RPL) is associated with variable causes. Its etiology remains unexplained in about half of the cases, with no effective treatment available. Individuals with RPL have an irregular iron metabolism. In the present study, we identified key genes impacting iron metabolism that could be used for diagnosing and treating RPL.

METHODS

We obtained gene expression profiles from the Gene Expression Omnibus (GEO) database. The Molecular Signatures Database was used to identify 14 gene sets related to iron metabolism, comprising 520 iron metabolism genes. Differential analysis and a weighted gene co-expression network analysis (WGCNA) of gene expression revealed two iron metabolism-related hub genes. Reverse transcriptase-polymerase chain reaction (RT-PCR) and immunohistochemistry were used on clinical samples to confirm our results. The receiver operating characteristic (ROC) analysis and immune infiltration analysis were conducted. In addition, we analyzed the distribution of genes and performed CellChat analysis by single-cell RNA sequencing.

RESULTS

The expression of two hub genes, namely, CDGSH iron sulfur domain 2 (CISD2)and Cytochrome P450 family 17 subfamily A member 1 (CYP17A1), were reduced in RPL, as verified by both qPCR and immunohistochemistry. The Gene Ontology (GO) analysis revealed the genes predominantly engaged in autophagy and iron metabolism. The area under the curve (AUC) demonstrated better diagnostic performance for RPL using CISD2 and CYP17A1. The single-cell transcriptomic analysis of RPL demonstrated that CISD2 is expressed in the majority of cell subpopulations, whereas CYP17A1 is not. The cell cycle analysis revealed highly active natural killer (NK) cells that displayed the highest communications with other cells, including the strongest interaction with macrophages through the migratory inhibitory factor (MIF) pathway.

CONCLUSIONS

Our study suggested that CISD2 and CYP17A1 genes are involved in abnormal iron metabolism, thereby contributing to RPL. These genes could be used as potential diagnostic and therapeutic markers for RPL.

Reproductive outcomes in couples with recurrent pregnancy loss after embryonic chromosomal microarray analysis

BACKGROUND

Chromosomal microarray analysis (CMA) has been widely applied to explore the genetic etiology in recurrent pregnancy loss (RPL). However, the reproductive prognosis in RPL couples with different types of chromosomally abnormal miscarriage remains unclear.

OBJECTIVES

The main purpose of this study was to evaluate the reproductive prognosis among RPL couples after genetic testing in products of conception (POCs) by CMA.

STUDY DESIGN

In this retrospective study, 1101 RPL couples referred for genetic testing in POCs by CMA. A total of 830 couples who met the inclusion criteria were followed up for at least 24 months after the index miscarriage. The rates of live birth and adverse pregnancy events in subsequent pregnancy and cumulative pregnancies were examined.

RESULTS

For couples with three or more miscarriage, compared with those with chromosomally normal miscarriage, a significantly higher subsequent live birth rate was found in couples with chromosomally abnormal miscarriage (66.9% vs 71.6%, P = .040). However, differences in cumulative live birth rate among couples with chromosomally abnormal miscarriage and normal miscarriage were nonsignificant (82.7% vs 80.2%, P = .131). Women with advanced maternal age showed a significant decrease in the live birth rate (P < 0.01) and an increase in the miscarriage rate (P < 0.01) than those aged < 35 years old, regardless of whether the miscarriage was chromosomally normal or abnormal. RPL couples with chromosomally normal miscarriage showed a significant decrease in live birth rates in subsequent pregnancy and cumulative pregnancies, when they had experienced a large number of previous miscarriages; however, no significant difference was observed in those with chromosomally abnormal miscarriage.

CONCLUSION

For women with three or more previous miscarriages, RPL couples with chromosomally normal miscarriage manifested a poorer reproductive prognosis than those with chromosomally abnormal miscarriage in subsequent pregnancy, while the cumulative live birth rate was similar. Advanced maternal age was a predictor of adverse pregnancy events, regardless of embryonic chromosomal results. Furthermore, among RPL women with large numbers of previous miscarriages, the supportive care and counselling regarding individual risk is necessary for those with chromosomally normal miscarriage.